Fecha creación: 08:15:05 26 Apr 2023.
Instalar comandos
. log using "H:\Mi unidad\Angelica\secreto\IVE\registry_lca1_apr23.smcl", replace
(note: file H:\Mi unidad\Angelica\secreto\IVE\registry_lca1_apr23.smcl not found)
file H:\Mi unidad\Angelica\secreto\IVE\registry_lca1_apr23.smcl could not be opened
r(603);
.
. *<< dd_do : noout > >
. clear all
.
. set maxvar 120000, perm
(set maxvar preference recorded)
. set adosize 10000, perm
(set adosize preference recorded)
. set max_memory ., perm
(set max_memory preference recorded)
. set niceness 1, perm
(set niceness preference recorded)
. *https://onlinelibrary.wiley.com/doi/epdf/10.1002/sim.8894
. *https://pclambert.net/pdf/Stata_Nordic2019_Lambert.pdf
. *https://slidetodoc.com/automated-reports-using-stata-chuck-huber-ph-d/
. *~Mi unidad\Alvacast\SISTRAT 2019 (github)\_supp_mstates\stata\12874_2020_1192_MOESM1_ESM.docx
. *https://opr.princeton.edu/workshops/Downloads/2015May_StataGraphicsKoffman.pdf
. *http://www.bruunisejs.dk/StataHacks/My%20commands/matprint/matprint_demo/
. *https://pure.au.dk/portal/files/140882936/ScientificWorkInStataGoneEasy.pdf
. *https://www.stata.com/meeting/nordic-and-baltic18/slides/nordic-and-baltic18_Bruun.pdf
. *https://github.com/dvorakt/TIER_exercises/blob/master/dyndoc_debt_growth/debt%20and%20growth%20stata%20dyndoc.do
.
. cap noi which rcsgen
C:\Users\andre\ado\plus\r\rcsgen.ado
*! version 1.5.9 13FEB2022
. if _rc==111 {
. ssc install rcsgen
. }
. cap noi which matselrc
C:\Users\andre\ado\plus\m\matselrc.ado
*! NJC 1.1.0 20 Apr 2000 (STB-56: dm79)
. if _rc==111 {
. cap noi net install dm79, from("http://www.stata.com/stb/stb56")
. }
. cap noi which tabout
C:\Users\andre\ado\plus\t\tabout.ado
*! 2.0.8 Ian Watson 15mar2019
*! tabout version 3 (beta) available at: http://tabout.net.au
. if _rc==111 {
. cap noi ssc install tabout
. }
. cap noi which pathutil
C:\Users\andre\ado\plus\p\pathutil.ado
*! version 2.2.0 19nov2020 daniel klein
. if _rc==111 {
. cap noi net install pathutil, from("http://fmwww.bc.edu/repec/bocode/p/")
. }
. cap noi which pathutil
C:\Users\andre\ado\plus\p\pathutil.ado
*! version 2.2.0 19nov2020 daniel klein
. if _rc==111 {
. ssc install dirtools
. }
. cap noi which project
C:\Users\andre\ado\plus\p\project.ado
*! version 1.3.1 22dec2013 picard@netbox.com
. if _rc==111 {
. ssc install project
. }
. cap noi which sumat
command sumat not found as either built-in or ado-file
. if _rc==111 {
. cap noi scc install matrixtools
command scc is unrecognized
. }
. cap noi which estwrite
C:\Users\andre\ado\plus\e\estwrite.ado
*! version 1.2.5 19jan2022
*! version 1.0.1 15may2007 (renamed from -eststo- to -estwrite-; -append- added)
*! version 1.0.0 29apr2005 Ben Jann (ETH Zurich)
. if _rc==111 {
. cap noi ssc install estwrite
. }
. cap noi which winsor2
C:\Users\andre\ado\plus\w\winsor2.ado
*! Inspirit of -winsor-(NJ Cox) and -winsorizeJ-(J Caskey)
*! Lian Yujun, arlionn@163.com, 2013-12-25
*! 1.1 2014.12.16
. if _rc==111 {
. cap noi ssc install winsor2
. }
. cap noi which matsave
C:\Users\andre\ado\plus\m\matsave.ado
*! version 1.1.7 24oct2004 by Marc-Andreas Muendler: muendler@ucsd.edu
. if _rc==111 {
. cap noi ssc install matsave
. }
Necesitamos obtener el archivo y el directorio de trabajo.
.
. *para sacar LMR
. *https://www.statalist.org/forums/forum/general-stata-discussion/general/1412686-calculating-entropy-for-lca-latent-class-analysis-in-stata-15/page3
. cap program drop lmrtest
. program lmrtest, rclass
1. version 15.0
2. args estimates_null estimates_alternative
3. tempname n ll_null ll_alt parms_null parms_alt a b classes_null classes_alt lr_test_stat modlr_test_stat p q //*anadi el parametro b
4. noi {
5. scalar drop _all // `n' `ll_null' `ll_alt' `parms_null' `parms_alt' `a' `b' `classes_null' `classes_alt' `lr_test_stat' `modlr_test_stat' `p' `q' `lmrt_p' `__000000' `__00000B' `_
> _00000A' `__00000D' `__00000C' `__000009' `__000005' `__000003' `__000008' `__000004' `__000002' `__000001'
6. estimates restore `1'
7. scalar `n' = e(N)
8. scalar `ll_null' = e(ll)
9. scalar `parms_null' = e(rank) //* los cambié, originalmente K y cambié por rank
10. matrix `a' = e(lclass_k_levels)
11. scalar `classes_null' = `a'[1,1]
12. estimates restore `2'
13. scalar `ll_alt' = e(ll)
14. scalar `parms_alt' = e(rank) //* los cambié, originalmente K y cambié por rank
15. matrix `b' = e(lclass_k_levels)
16. scalar `classes_alt' = `b'[1,1]
17. scalar `p' = (3 * `classes_alt' - 1) //* los cambié, originalmente 3 y cambié por `classes_alt'
18. scalar `q' = (3 * `classes_null' - 1) //* los cambié, originalmente 3
19. scalar `lr_test_stat' = -2 * (`ll_null' - `ll_alt')
20. scalar `modlr_test_stat' = `lr_test_stat' / (1 + ((`p' - `q') * ln(`n')) ^ -1)
21. }
22. dis "LMR LT test statistic:"
23. di `modlr_test_stat'
24. return scalar lmrt = `modlr_test_stat'
25. return scalar lmrt_p = chi2tail(`parms_alt' - `parms_null',`modlr_test_stat')
26. dis "P value Lo-Mendel:"
27. dis %18.17f chi2tail(`parms_alt' - `parms_null',`modlr_test_stat')
28. scalar list
29. end
Fecha de creación: 08:15:06 26 Apr 2023.
Acceder a la carpeta
G:\Mi unidad\Angelica\secreto\IVE
Ubicación= ;
Timestamp:08:15:06 26 Apr 2023, considerando un SO Windows OS para el usuario: andre
El archivo se encuentra en: G:\Mi unidad\Angelica\secreto\IVE/mydata_preds3_2023_04_21.dta
===================================================================================
===================================================================================
variable AÑO not found
===================================================================================
===================================================================================
Formateamos las variables a factor.
. *codebook con_quien_vive_joel, tab(100)
.
. foreach vars of varlist CAUSAL-PREV_TRAMO_REC {
2. cap noi encode `vars', gen(new`vars')
3. cap confirm variable new`vars'
4. if !_rc {
5. cap noi drop `vars'
6. cap noi rename new`vars' `vars'
7. }
8. }
not possible with numeric variable
not possible with numeric variable
not possible with numeric variable
not possible with numeric variable
not possible with numeric variable
not possible with numeric variable
not possible with numeric variable
.
. *rename AÑO ANIO
. /*
> cap noi decode freq_cons_sus_prin, gen(str_freq_cons_sus_prin)
> cap confirm variable str_freq_cons_sus_prin
> if !_rc {
> cap noi drop freq_cons_sus_prin
> label def freq_cons_sus_prin2 1 "Less than 1 day a week" 2 "1 day a week or more" 3 "2 to 3 days a week" 4 "4 to 6 days a week" 5 "Daily"
> encode str_freq_cons_sus_prin, gen(freq_cons_sus_prin) label (freq_cons_sus_prin2)
> }
> */
.
. /*
> recode freq_cons_sus_prin_rec (1=2 "1 day a week or more") (2=3 "2 to 3 days a week") ///
> (3=4 "4 to 6 days a week")(4=5 "Daily") (5=1 "Less than 1 day a week"), gen(freq_cons_sus_prin_rec_joel)
> encode numero_de_hijos_mod_joel, generate(numero_de_hijos_mod_joel_rec)
> */
Time= 08:15:06 26 Apr 2023
. global draws = 80 //80
. global iterate = 80 //80
. global iterate2 = 500 //500
. //https://github.com/lindeloev/job
. //https://rpubs.com/chinedu2301/833708
. //https://rpubs.com/cyanjiner/889802
. //https://rpubs.com/liliana/94701
.
. set seed 2125
. qui noi gsem(CAUSAL ///
> EDAD_MUJER_REC ///
> PUEBLO_ORIGINARIO_REC ///
> PAIS_ORIGEN_REC ///
> HITO1_EDAD_GEST_SEM_REC ///
> MACROZONA /// // ANIO ///
> PREV_TRAMO_REC <- , mlogit), lclass(C 1)
Iteration 0: log likelihood = -29175.283
Iteration 1: log likelihood = -29175.283
Generalized structural equation model Number of obs = 3,789
Log likelihood = -29175.283
------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
1.C | (base outcome)
------------------------------------------------------------------------------
Class : 1
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | .4771302 .037201 12.83 0.000 .4042176 .5500428
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -.4711999 .0471377 -10.00 0.000 -.563588 -.3788118
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 2.87168 .2422813 11.85 0.000 2.396817 3.346542
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 3.99616 .2378592 16.80 0.000 3.529964 4.462355
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 4.198871 .2374649 17.68 0.000 3.733449 4.664294
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 4.096195 .2376547 17.24 0.000 3.6304 4.561989
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 2.372318 .2464486 9.63 0.000 1.889288 2.855349
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.555897 .0437391 35.57 0.000 1.47017 1.641624
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -1.400614 .089387 -15.67 0.000 -1.57581 -1.225419
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 5.145878 .2363876 21.77 0.000 4.682567 5.609189
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 3.631721 .2388015 15.21 0.000 3.163679 4.099763
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.132601 .1133872 18.81 0.000 1.910366 2.354836
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.59285 .111149 23.33 0.000 2.375002 2.810698
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.558741 .1112831 22.99 0.000 2.34063 2.776852
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.703703 .1165603 14.62 0.000 1.475249 1.932157
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | .8472979 .128142 6.61 0.000 .5961442 1.098451
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 4.984851 .3025409 16.48 0.000 4.391882 5.57782
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 4.015564 .3042177 13.20 0.000 3.419308 4.61182
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 3.921073 .3044846 12.88 0.000 3.324294 4.517852
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 3.668213 .3053347 12.01 0.000 3.069768 4.266658
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 3.954734 .3043867 12.99 0.000 3.358147 4.551321
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 3.551258 .2710678 13.10 0.000 3.019975 4.082541
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 5.008729 .2681523 18.68 0.000 4.48316 5.534298
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 4.356709 .268969 16.20 0.000 3.829539 4.883878
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 1.956063 .2855339 6.85 0.000 1.396426 2.515699
--------------------------------------------------------------------------------------------
. //*startvalues(randomid, draws(50)) //* agregado posteriormente 2021-10-08= feasible starting values not found
. estimates store lca_prueba_c1
.
. set seed 2125
. forvalues i = 2/8{
2. qui noi gsem(CAUSAL ///
> EDAD_MUJER_REC ///
> PUEBLO_ORIGINARIO_REC ///
> PAIS_ORIGEN_REC ///
> HITO1_EDAD_GEST_SEM_REC ///
> MACROZONA /// // ANIO ///
> PREV_TRAMO_REC <- , mlogit), lclass(C `i') nocapslatent nonrtolerance iterate($iterate2 ) ///
> emopts(iterate($iterate ) difficult) ///
> startvalues(randomid, draws($draws ) seed(2125)) ///
> //*startvalues(randomid, draws(50)) //* agregado posteriormente 2021-10-08= feasible starting values not found
3. estimates store lca_prueba_c`i'
4. matrix b`i' = e(b)
5.
. *estimates save lca_prueba_c`i', replace
. cap noi estat lcgof
6.
. quietly predict classpost* if e(sample) == 1, classposteriorpr
7. unab myvars : classpost*
8. local count : word count `myvars'
9. forvalues k = 1/`count' {
10. quietly gen sum_p_lnp_`k' = classpost`k'*ln(classpost`k') if e(sample) == 1
11. }
12. quietly egen sum_p_lnp = rowtotal(sum_p_lnp_*) if e(sample) == 1
13. summ sum_p_lnp, meanonly
14. local sum = r(sum)
15. quietly count if !missing(sum_p_lnp) & e(sample) == 1
16. scalar Entropy_`i' = 1+`sum'/(r(N)*ln(`count'))
17. cap noi drop classpost*
18. cap noi drop sum_p_lnp*
19. cap noi display "Entropy:"
20. cap noi display Entropy_`i'
21. global Entropy__`i' = Entropy_`i'
22. cap noi lmrtest lca_prueba_c`=`i'-1' lca_prueba_c`i'
23. return list
24. global lmrt_`i' = r(lmrt)
25. global lmrt_p_`i' = r(lmrt_p)
26. *ll_null __000001
. *ll_alt __000002
. *parms_alt' __000004
. *b __000006
. *classes_null __000007
. *p __000008
. *lr_test_stat __000009
. *modlr_test_stat __00000A
. *b __00000B
. *q __00000C
. }
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.2522
Iteration 1: (class) log likelihood = -2626.2522
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29158.396
Iteration 1: (outcome) log likelihood = -29158.396
Refining starting values:
Iteration 0: (EM) log likelihood = -31778.506
Iteration 1: (EM) log likelihood = -31754.287
Iteration 2: (EM) log likelihood = -31670.212
Iteration 3: (EM) log likelihood = -31412.489
Iteration 4: (EM) log likelihood = -30855.161
Iteration 5: (EM) log likelihood = -30123.705
Iteration 6: (EM) log likelihood = -29457.144
Iteration 7: (EM) log likelihood = -28936.041
Iteration 8: (EM) log likelihood = -28566.474
Iteration 9: (EM) log likelihood = -28300.879
Iteration 10: (EM) log likelihood = -28092.485
Iteration 11: (EM) log likelihood = -27961.795
Iteration 12: (EM) log likelihood = -27899.595
Iteration 13: (EM) log likelihood = -27873.86
Iteration 14: (EM) log likelihood = -27863.781
Iteration 15: (EM) log likelihood = -27859.984
Iteration 16: (EM) log likelihood = -27858.776
Iteration 17: (EM) log likelihood = -27858.706
Iteration 18: (EM) log likelihood = -27859.094
Iteration 19: (EM) log likelihood = -27859.684
Iteration 20: (EM) log likelihood = -27860.291
Iteration 21: (EM) log likelihood = -27860.799
Iteration 22: (EM) log likelihood = -27861.227
Iteration 23: (EM) log likelihood = -27861.575
Iteration 24: (EM) log likelihood = -27861.878
Iteration 25: (EM) log likelihood = -27862.137
Iteration 26: (EM) log likelihood = -27862.315
Iteration 27: (EM) log likelihood = -27862.457
Iteration 28: (EM) log likelihood = -27862.566
Iteration 29: (EM) log likelihood = -27862.638
Iteration 30: (EM) log likelihood = -27862.685
Iteration 31: (EM) log likelihood = -27862.724
Iteration 32: (EM) log likelihood = -27862.752
Iteration 33: (EM) log likelihood = -27862.772
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.0674
Iteration 1: (class) log likelihood = -2626.0674
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29158.669
Iteration 1: (outcome) log likelihood = -29158.669
Refining starting values:
Iteration 0: (EM) log likelihood = -31776.09
Iteration 1: (EM) log likelihood = -31739.997
Iteration 2: (EM) log likelihood = -31606.642
Iteration 3: (EM) log likelihood = -31207.479
Iteration 4: (EM) log likelihood = -30484.996
Iteration 5: (EM) log likelihood = -29743.031
Iteration 6: (EM) log likelihood = -29168.205
Iteration 7: (EM) log likelihood = -28751.9
Iteration 8: (EM) log likelihood = -28446.848
Iteration 9: (EM) log likelihood = -28203.996
Iteration 10: (EM) log likelihood = -28029.552
Iteration 11: (EM) log likelihood = -27932.559
Iteration 12: (EM) log likelihood = -27888.021
Iteration 13: (EM) log likelihood = -27869.46
Iteration 14: (EM) log likelihood = -27862.075
Iteration 15: (EM) log likelihood = -27859.389
Iteration 16: (EM) log likelihood = -27858.634
Iteration 17: (EM) log likelihood = -27858.754
Iteration 18: (EM) log likelihood = -27859.237
Iteration 19: (EM) log likelihood = -27859.849
Iteration 20: (EM) log likelihood = -27860.429
Iteration 21: (EM) log likelihood = -27860.964
Iteration 22: (EM) log likelihood = -27861.413
Iteration 23: (EM) log likelihood = -27861.788
Iteration 24: (EM) log likelihood = -27862.051
Iteration 25: (EM) log likelihood = -27862.255
Iteration 26: (EM) log likelihood = -27862.398
Iteration 27: (EM) log likelihood = -27862.51
Iteration 28: (EM) log likelihood = -27862.59
Iteration 29: (EM) log likelihood = -27862.653
Iteration 30: (EM) log likelihood = -27862.697
Iteration 31: (EM) log likelihood = -27862.734
Iteration 32: (EM) log likelihood = -27862.759
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.7771
Iteration 1: (class) log likelihood = -2625.7771
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29167.543
Iteration 1: (outcome) log likelihood = -29167.543
Refining starting values:
Iteration 0: (EM) log likelihood = -31787.963
Iteration 1: (EM) log likelihood = -31763.057
Iteration 2: (EM) log likelihood = -31659.232
Iteration 3: (EM) log likelihood = -31306.787
Iteration 4: (EM) log likelihood = -30582.543
Iteration 5: (EM) log likelihood = -29810.787
Iteration 6: (EM) log likelihood = -29248.234
Iteration 7: (EM) log likelihood = -28849.469
Iteration 8: (EM) log likelihood = -28543.032
Iteration 9: (EM) log likelihood = -28288.049
Iteration 10: (EM) log likelihood = -28091.173
Iteration 11: (EM) log likelihood = -27968.234
Iteration 12: (EM) log likelihood = -27905.06
Iteration 13: (EM) log likelihood = -27876.53
Iteration 14: (EM) log likelihood = -27864.757
Iteration 15: (EM) log likelihood = -27860.203
Iteration 16: (EM) log likelihood = -27858.65
Iteration 17: (EM) log likelihood = -27858.227
Iteration 18: (EM) log likelihood = -27858.485
Iteration 19: (EM) log likelihood = -27859.014
Iteration 20: (EM) log likelihood = -27859.655
Iteration 21: (EM) log likelihood = -27860.295
Iteration 22: (EM) log likelihood = -27860.855
Iteration 23: (EM) log likelihood = -27861.335
Iteration 24: (EM) log likelihood = -27861.719
Iteration 25: (EM) log likelihood = -27861.947
Iteration 26: (EM) log likelihood = -27862.179
Iteration 27: (EM) log likelihood = -27862.348
Iteration 28: (EM) log likelihood = -27862.476
Iteration 29: (EM) log likelihood = -27862.566
Iteration 30: (EM) log likelihood = -27862.638
Iteration 31: (EM) log likelihood = -27862.69
Iteration 32: (EM) log likelihood = -27862.728
Iteration 33: (EM) log likelihood = -27862.756
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.7771
Iteration 1: (class) log likelihood = -2625.7771
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29168.689
Iteration 1: (outcome) log likelihood = -29168.689
Refining starting values:
Iteration 0: (EM) log likelihood = -31792.726
Iteration 1: (EM) log likelihood = -31786.689
Iteration 2: (EM) log likelihood = -31771.957
Iteration 3: (EM) log likelihood = -31735.997
Iteration 4: (EM) log likelihood = -31644.063
Iteration 5: (EM) log likelihood = -31407.77
Iteration 6: (EM) log likelihood = -30915.171
Iteration 7: (EM) log likelihood = -30282.97
Iteration 8: (EM) log likelihood = -29781.105
Iteration 9: (EM) log likelihood = -29424.781
Iteration 10: (EM) log likelihood = -29134.131
Iteration 11: (EM) log likelihood = -28875.587
Iteration 12: (EM) log likelihood = -28633.871
Iteration 13: (EM) log likelihood = -28397.447
Iteration 14: (EM) log likelihood = -28180.068
Iteration 15: (EM) log likelihood = -28022.472
Iteration 16: (EM) log likelihood = -27932.58
Iteration 17: (EM) log likelihood = -27888.154
Iteration 18: (EM) log likelihood = -27868.645
Iteration 19: (EM) log likelihood = -27861.096
Iteration 20: (EM) log likelihood = -27858.552
Iteration 21: (EM) log likelihood = -27857.818
Iteration 22: (EM) log likelihood = -27857.741
Iteration 23: (EM) log likelihood = -27858.02
Iteration 24: (EM) log likelihood = -27858.535
Iteration 25: (EM) log likelihood = -27859.22
Iteration 26: (EM) log likelihood = -27859.897
Iteration 27: (EM) log likelihood = -27860.521
Iteration 28: (EM) log likelihood = -27861.054
Iteration 29: (EM) log likelihood = -27861.479
Iteration 30: (EM) log likelihood = -27861.847
Iteration 31: (EM) log likelihood = -27862.075
Iteration 32: (EM) log likelihood = -27862.272
Iteration 33: (EM) log likelihood = -27862.411
Iteration 34: (EM) log likelihood = -27862.513
Iteration 35: (EM) log likelihood = -27862.599
Iteration 36: (EM) log likelihood = -27862.659
Iteration 37: (EM) log likelihood = -27862.706
Iteration 38: (EM) log likelihood = -27862.739
Iteration 39: (EM) log likelihood = -27862.765
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2622.5645
Iteration 1: (class) log likelihood = -2622.5645
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29163.661
Iteration 1: (outcome) log likelihood = -29163.661
Refining starting values:
Iteration 0: (EM) log likelihood = -31785.565
Iteration 1: (EM) log likelihood = -31774.857
Iteration 2: (EM) log likelihood = -31724.366
Iteration 3: (EM) log likelihood = -31524.672
Iteration 4: (EM) log likelihood = -30966.096
Iteration 5: (EM) log likelihood = -30127.138
Iteration 6: (EM) log likelihood = -29417.251
Iteration 7: (EM) log likelihood = -28930.974
Iteration 8: (EM) log likelihood = -28586.762
Iteration 9: (EM) log likelihood = -28317.053
Iteration 10: (EM) log likelihood = -28109.335
Iteration 11: (EM) log likelihood = -27977.583
Iteration 12: (EM) log likelihood = -27909.505
Iteration 13: (EM) log likelihood = -27878.688
Iteration 14: (EM) log likelihood = -27865.808
Iteration 15: (EM) log likelihood = -27860.718
Iteration 16: (EM) log likelihood = -27858.882
Iteration 17: (EM) log likelihood = -27858.541
Iteration 18: (EM) log likelihood = -27858.794
Iteration 19: (EM) log likelihood = -27859.358
Iteration 20: (EM) log likelihood = -27859.992
Iteration 21: (EM) log likelihood = -27860.573
Iteration 22: (EM) log likelihood = -27861.091
Iteration 23: (EM) log likelihood = -27861.513
Iteration 24: (EM) log likelihood = -27861.844
Iteration 25: (EM) log likelihood = -27862.108
Iteration 26: (EM) log likelihood = -27862.282
Iteration 27: (EM) log likelihood = -27862.422
Iteration 28: (EM) log likelihood = -27862.545
Iteration 29: (EM) log likelihood = -27862.629
Iteration 30: (EM) log likelihood = -27862.679
Iteration 31: (EM) log likelihood = -27862.719
Iteration 32: (EM) log likelihood = -27862.748
Iteration 33: (EM) log likelihood = -27862.77
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2624.8796
Iteration 1: (class) log likelihood = -2624.8796
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29159.056
Iteration 1: (outcome) log likelihood = -29159.056 (backed up)
Refining starting values:
Iteration 0: (EM) log likelihood = -31765.85
Iteration 1: (EM) log likelihood = -31696.873
Iteration 2: (EM) log likelihood = -31460.512
Iteration 3: (EM) log likelihood = -30885.145
Iteration 4: (EM) log likelihood = -30086.03
Iteration 5: (EM) log likelihood = -29380.523
Iteration 6: (EM) log likelihood = -28868.295
Iteration 7: (EM) log likelihood = -28515.378
Iteration 8: (EM) log likelihood = -28251.189
Iteration 9: (EM) log likelihood = -28057.516
Iteration 10: (EM) log likelihood = -27945.778
Iteration 11: (EM) log likelihood = -27893.535
Iteration 12: (EM) log likelihood = -27871.619
Iteration 13: (EM) log likelihood = -27862.924
Iteration 14: (EM) log likelihood = -27859.758
Iteration 15: (EM) log likelihood = -27858.715
Iteration 16: (EM) log likelihood = -27858.675
Iteration 17: (EM) log likelihood = -27859.073
Iteration 18: (EM) log likelihood = -27859.679
Iteration 19: (EM) log likelihood = -27860.287
Iteration 20: (EM) log likelihood = -27860.848
Iteration 21: (EM) log likelihood = -27861.261
Iteration 22: (EM) log likelihood = -27861.599
Iteration 23: (EM) log likelihood = -27861.913
Iteration 24: (EM) log likelihood = -27862.161
Iteration 25: (EM) log likelihood = -27862.328
Iteration 26: (EM) log likelihood = -27862.469
Iteration 27: (EM) log likelihood = -27862.558
Iteration 28: (EM) log likelihood = -27862.628
Iteration 29: (EM) log likelihood = -27862.67
Iteration 30: (EM) log likelihood = -27862.714
Iteration 31: (EM) log likelihood = -27862.744
Iteration 32: (EM) log likelihood = -27862.767
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.9059
Iteration 1: (class) log likelihood = -2625.9059
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29166.046
Iteration 1: (outcome) log likelihood = -29166.046
Refining starting values:
Iteration 0: (EM) log likelihood = -31792.494
Iteration 1: (EM) log likelihood = -31789.405
Iteration 2: (EM) log likelihood = -31775.79
Iteration 3: (EM) log likelihood = -31720.874
Iteration 4: (EM) log likelihood = -31514.899
Iteration 5: (EM) log likelihood = -30955.053
Iteration 6: (EM) log likelihood = -30144.507
Iteration 7: (EM) log likelihood = -29493.754
Iteration 8: (EM) log likelihood = -29057.298
Iteration 9: (EM) log likelihood = -28734.026
Iteration 10: (EM) log likelihood = -28458.641
Iteration 11: (EM) log likelihood = -28221.917
Iteration 12: (EM) log likelihood = -28049.836
Iteration 13: (EM) log likelihood = -27947.493
Iteration 14: (EM) log likelihood = -27895.862
Iteration 15: (EM) log likelihood = -27872.72
Iteration 16: (EM) log likelihood = -27863.254
Iteration 17: (EM) log likelihood = -27859.639
Iteration 18: (EM) log likelihood = -27858.386
Iteration 19: (EM) log likelihood = -27858.208
Iteration 20: (EM) log likelihood = -27858.579
Iteration 21: (EM) log likelihood = -27859.122
Iteration 22: (EM) log likelihood = -27859.795
Iteration 23: (EM) log likelihood = -27860.371
Iteration 24: (EM) log likelihood = -27860.956
Iteration 25: (EM) log likelihood = -27861.381
Iteration 26: (EM) log likelihood = -27861.708
Iteration 27: (EM) log likelihood = -27861.986
Iteration 28: (EM) log likelihood = -27862.18
Iteration 29: (EM) log likelihood = -27862.353
Iteration 30: (EM) log likelihood = -27862.482
Iteration 31: (EM) log likelihood = -27862.575
Iteration 32: (EM) log likelihood = -27862.644
Iteration 33: (EM) log likelihood = -27862.692
Iteration 34: (EM) log likelihood = -27862.731
Iteration 35: (EM) log likelihood = -27862.757
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.3335
Iteration 1: (class) log likelihood = -2626.3335
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29160.595
Iteration 1: (outcome) log likelihood = -29160.595 (backed up)
Refining starting values:
Iteration 0: (EM) log likelihood = -31775.278
Iteration 1: (EM) log likelihood = -31736.161
Iteration 2: (EM) log likelihood = -31610.043
Iteration 3: (EM) log likelihood = -31254.516
Iteration 4: (EM) log likelihood = -30597.081
Iteration 5: (EM) log likelihood = -29927.129
Iteration 6: (EM) log likelihood = -29447.523
Iteration 7: (EM) log likelihood = -29091.018
Iteration 8: (EM) log likelihood = -28796.792
Iteration 9: (EM) log likelihood = -28535.416
Iteration 10: (EM) log likelihood = -28290.031
Iteration 11: (EM) log likelihood = -28092.078
Iteration 12: (EM) log likelihood = -27969.242
Iteration 13: (EM) log likelihood = -27905.618
Iteration 14: (EM) log likelihood = -27876.503
Iteration 15: (EM) log likelihood = -27864.49
Iteration 16: (EM) log likelihood = -27859.967
Iteration 17: (EM) log likelihood = -27858.392
Iteration 18: (EM) log likelihood = -27857.98
Iteration 19: (EM) log likelihood = -27858.165
Iteration 20: (EM) log likelihood = -27858.65
Iteration 21: (EM) log likelihood = -27859.289
Iteration 22: (EM) log likelihood = -27859.955
Iteration 23: (EM) log likelihood = -27860.565
Iteration 24: (EM) log likelihood = -27861.088
Iteration 25: (EM) log likelihood = -27861.508
Iteration 26: (EM) log likelihood = -27861.817
Iteration 27: (EM) log likelihood = -27862.046
Iteration 28: (EM) log likelihood = -27862.25
Iteration 29: (EM) log likelihood = -27862.409
Iteration 30: (EM) log likelihood = -27862.514
Iteration 31: (EM) log likelihood = -27862.6
Iteration 32: (EM) log likelihood = -27862.66
Iteration 33: (EM) log likelihood = -27862.707
Iteration 34: (EM) log likelihood = -27862.74
Iteration 35: (EM) log likelihood = -27862.765
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.5522
Iteration 1: (class) log likelihood = -2625.5522
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29159.207
Iteration 1: (outcome) log likelihood = -29159.207
Refining starting values:
Iteration 0: (EM) log likelihood = -31776.934
Iteration 1: (EM) log likelihood = -31738.828
Iteration 2: (EM) log likelihood = -31593.028
Iteration 3: (EM) log likelihood = -31162.994
Iteration 4: (EM) log likelihood = -30414.185
Iteration 5: (EM) log likelihood = -29650.672
Iteration 6: (EM) log likelihood = -29057.779
Iteration 7: (EM) log likelihood = -28644.352
Iteration 8: (EM) log likelihood = -28346.542
Iteration 9: (EM) log likelihood = -28122.079
Iteration 10: (EM) log likelihood = -27980.274
Iteration 11: (EM) log likelihood = -27909.054
Iteration 12: (EM) log likelihood = -27877.987
Iteration 13: (EM) log likelihood = -27865.398
Iteration 14: (EM) log likelihood = -27860.588
Iteration 15: (EM) log likelihood = -27858.956
Iteration 16: (EM) log likelihood = -27858.604
Iteration 17: (EM) log likelihood = -27858.802
Iteration 18: (EM) log likelihood = -27859.345
Iteration 19: (EM) log likelihood = -27859.95
Iteration 20: (EM) log likelihood = -27860.537
Iteration 21: (EM) log likelihood = -27861.054
Iteration 22: (EM) log likelihood = -27861.476
Iteration 23: (EM) log likelihood = -27861.807
Iteration 24: (EM) log likelihood = -27862.03
Iteration 25: (EM) log likelihood = -27862.212
Iteration 26: (EM) log likelihood = -27862.372
Iteration 27: (EM) log likelihood = -27862.499
Iteration 28: (EM) log likelihood = -27862.59
Iteration 29: (EM) log likelihood = -27862.671
Iteration 30: (EM) log likelihood = -27862.71
Iteration 31: (EM) log likelihood = -27862.743
Iteration 32: (EM) log likelihood = -27862.763
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.324
Iteration 1: (class) log likelihood = -2626.324
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29154.232
Iteration 1: (outcome) log likelihood = -29154.232 (backed up)
Refining starting values:
Iteration 0: (EM) log likelihood = -31777.356
Iteration 1: (EM) log likelihood = -31765.365
Iteration 2: (EM) log likelihood = -31726.694
Iteration 3: (EM) log likelihood = -31598.268
Iteration 4: (EM) log likelihood = -31228.499
Iteration 5: (EM) log likelihood = -30541.669
Iteration 6: (EM) log likelihood = -29819.84
Iteration 7: (EM) log likelihood = -29267.426
Iteration 8: (EM) log likelihood = -28861.516
Iteration 9: (EM) log likelihood = -28547.484
Iteration 10: (EM) log likelihood = -28290.108
Iteration 11: (EM) log likelihood = -28091.679
Iteration 12: (EM) log likelihood = -27967.57
Iteration 13: (EM) log likelihood = -27904.511
Iteration 14: (EM) log likelihood = -27876.398
Iteration 15: (EM) log likelihood = -27864.822
Iteration 16: (EM) log likelihood = -27860.315
Iteration 17: (EM) log likelihood = -27858.722
Iteration 18: (EM) log likelihood = -27858.458
Iteration 19: (EM) log likelihood = -27858.765
Iteration 20: (EM) log likelihood = -27859.341
Iteration 21: (EM) log likelihood = -27859.968
Iteration 22: (EM) log likelihood = -27860.569
Iteration 23: (EM) log likelihood = -27861.122
Iteration 24: (EM) log likelihood = -27861.536
Iteration 25: (EM) log likelihood = -27861.868
Iteration 26: (EM) log likelihood = -27862.112
Iteration 27: (EM) log likelihood = -27862.301
Iteration 28: (EM) log likelihood = -27862.437
Iteration 29: (EM) log likelihood = -27862.54
Iteration 30: (EM) log likelihood = -27862.616
Iteration 31: (EM) log likelihood = -27862.672
Iteration 32: (EM) log likelihood = -27862.713
Iteration 33: (EM) log likelihood = -27862.744
Iteration 34: (EM) log likelihood = -27862.767
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.2649
Iteration 1: (class) log likelihood = -2626.2649
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29165.55
Iteration 1: (outcome) log likelihood = -29165.55 (backed up)
Refining starting values:
Iteration 0: (EM) log likelihood = -31790.525
Iteration 1: (EM) log likelihood = -31785.816
Iteration 2: (EM) log likelihood = -31774.698
Iteration 3: (EM) log likelihood = -31750.712
Iteration 4: (EM) log likelihood = -31702.12
Iteration 5: (EM) log likelihood = -31609.184
Iteration 6: (EM) log likelihood = -31440.069
Iteration 7: (EM) log likelihood = -31148.509
Iteration 8: (EM) log likelihood = -30709.821
Iteration 9: (EM) log likelihood = -30224.102
Iteration 10: (EM) log likelihood = -29830.705
Iteration 11: (EM) log likelihood = -29535.345
Iteration 12: (EM) log likelihood = -29285.478
Iteration 13: (EM) log likelihood = -29049.247
Iteration 14: (EM) log likelihood = -28817.729
Iteration 15: (EM) log likelihood = -28586.525
Iteration 16: (EM) log likelihood = -28363.261
Iteration 17: (EM) log likelihood = -28162.458
Iteration 18: (EM) log likelihood = -28014.843
Iteration 19: (EM) log likelihood = -27929.662
Iteration 20: (EM) log likelihood = -27886.717
Iteration 21: (EM) log likelihood = -27867.545
Iteration 22: (EM) log likelihood = -27860.192
Iteration 23: (EM) log likelihood = -27857.928
Iteration 24: (EM) log likelihood = -27857.449
Iteration 25: (EM) log likelihood = -27857.488
Iteration 26: (EM) log likelihood = -27857.784
Iteration 27: (EM) log likelihood = -27858.269
Iteration 28: (EM) log likelihood = -27858.859
Iteration 29: (EM) log likelihood = -27859.541
Iteration 30: (EM) log likelihood = -27860.201
Iteration 31: (EM) log likelihood = -27860.807
Iteration 32: (EM) log likelihood = -27861.285
Iteration 33: (EM) log likelihood = -27861.651
Iteration 34: (EM) log likelihood = -27861.913
Iteration 35: (EM) log likelihood = -27862.148
Iteration 36: (EM) log likelihood = -27862.341
Iteration 37: (EM) log likelihood = -27862.465
Iteration 38: (EM) log likelihood = -27862.564
Iteration 39: (EM) log likelihood = -27862.636
Iteration 40: (EM) log likelihood = -27862.69
Iteration 41: (EM) log likelihood = -27862.727
Iteration 42: (EM) log likelihood = -27862.756
Iteration 43: (EM) log likelihood = -27862.776
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.8753
Iteration 1: (class) log likelihood = -2625.8753
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29159.415
Iteration 1: (outcome) log likelihood = -29159.415
Refining starting values:
Iteration 0: (EM) log likelihood = -31778.319
Iteration 1: (EM) log likelihood = -31762.454
Iteration 2: (EM) log likelihood = -31731.463
Iteration 3: (EM) log likelihood = -31673.802
Iteration 4: (EM) log likelihood = -31563.344
Iteration 5: (EM) log likelihood = -31343.215
Iteration 6: (EM) log likelihood = -30948.05
Iteration 7: (EM) log likelihood = -30430.838
Iteration 8: (EM) log likelihood = -29930.267
Iteration 9: (EM) log likelihood = -29439.107
Iteration 10: (EM) log likelihood = -28927.132
Iteration 11: (EM) log likelihood = -28479.71
Iteration 12: (EM) log likelihood = -28172.845
Iteration 13: (EM) log likelihood = -27996.361
Iteration 14: (EM) log likelihood = -27911.984
Iteration 15: (EM) log likelihood = -27877.365
Iteration 16: (EM) log likelihood = -27864.283
Iteration 17: (EM) log likelihood = -27859.854
Iteration 18: (EM) log likelihood = -27858.383
Iteration 19: (EM) log likelihood = -27858.071
Iteration 20: (EM) log likelihood = -27858.171
Iteration 21: (EM) log likelihood = -27858.624
Iteration 22: (EM) log likelihood = -27859.23
Iteration 23: (EM) log likelihood = -27859.861
Iteration 24: (EM) log likelihood = -27860.48
Iteration 25: (EM) log likelihood = -27861.025
Iteration 26: (EM) log likelihood = -27861.443
Iteration 27: (EM) log likelihood = -27861.837
Iteration 28: (EM) log likelihood = -27862.086
Iteration 29: (EM) log likelihood = -27862.279
Iteration 30: (EM) log likelihood = -27862.415
Iteration 31: (EM) log likelihood = -27862.521
Iteration 32: (EM) log likelihood = -27862.631
Iteration 33: (EM) log likelihood = -27862.678
Iteration 34: (EM) log likelihood = -27862.721
Iteration 35: (EM) log likelihood = -27862.748
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2624.8236
Iteration 1: (class) log likelihood = -2624.8236
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29163.089
Iteration 1: (outcome) log likelihood = -29163.089
Refining starting values:
Iteration 0: (EM) log likelihood = -31782.716
Iteration 1: (EM) log likelihood = -31758.709
Iteration 2: (EM) log likelihood = -31666.738
Iteration 3: (EM) log likelihood = -31362.164
Iteration 4: (EM) log likelihood = -30699.968
Iteration 5: (EM) log likelihood = -29951.416
Iteration 6: (EM) log likelihood = -29412.464
Iteration 7: (EM) log likelihood = -29033.529
Iteration 8: (EM) log likelihood = -28731.618
Iteration 9: (EM) log likelihood = -28467.734
Iteration 10: (EM) log likelihood = -28238.486
Iteration 11: (EM) log likelihood = -28065.287
Iteration 12: (EM) log likelihood = -27957.253
Iteration 13: (EM) log likelihood = -27900.392
Iteration 14: (EM) log likelihood = -27874.164
Iteration 15: (EM) log likelihood = -27863.416
Iteration 16: (EM) log likelihood = -27859.478
Iteration 17: (EM) log likelihood = -27858.193
Iteration 18: (EM) log likelihood = -27857.927
Iteration 19: (EM) log likelihood = -27858.111
Iteration 20: (EM) log likelihood = -27858.52
Iteration 21: (EM) log likelihood = -27859.164
Iteration 22: (EM) log likelihood = -27859.797
Iteration 23: (EM) log likelihood = -27860.434
Iteration 24: (EM) log likelihood = -27861.005
Iteration 25: (EM) log likelihood = -27861.394
Iteration 26: (EM) log likelihood = -27861.752
Iteration 27: (EM) log likelihood = -27862.047
Iteration 28: (EM) log likelihood = -27862.22
Iteration 29: (EM) log likelihood = -27862.379
Iteration 30: (EM) log likelihood = -27862.506
Iteration 31: (EM) log likelihood = -27862.595
Iteration 32: (EM) log likelihood = -27862.66
Iteration 33: (EM) log likelihood = -27862.706
Iteration 34: (EM) log likelihood = -27862.74
Iteration 35: (EM) log likelihood = -27862.764
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2623.6356
Iteration 1: (class) log likelihood = -2623.6356
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29161.281
Iteration 1: (outcome) log likelihood = -29161.281 (backed up)
Refining starting values:
Iteration 0: (EM) log likelihood = -31778.624
Iteration 1: (EM) log likelihood = -31760.808
Iteration 2: (EM) log likelihood = -31713.289
Iteration 3: (EM) log likelihood = -31584.739
Iteration 4: (EM) log likelihood = -31259.312
Iteration 5: (EM) log likelihood = -30629.125
Iteration 6: (EM) log likelihood = -29897.873
Iteration 7: (EM) log likelihood = -29318.548
Iteration 8: (EM) log likelihood = -28889.684
Iteration 9: (EM) log likelihood = -28563.246
Iteration 10: (EM) log likelihood = -28303.74
Iteration 11: (EM) log likelihood = -28106.775
Iteration 12: (EM) log likelihood = -27979.945
Iteration 13: (EM) log likelihood = -27911.841
Iteration 14: (EM) log likelihood = -27879.888
Iteration 15: (EM) log likelihood = -27866.266
Iteration 16: (EM) log likelihood = -27860.847
Iteration 17: (EM) log likelihood = -27858.912
Iteration 18: (EM) log likelihood = -27858.417
Iteration 19: (EM) log likelihood = -27858.598
Iteration 20: (EM) log likelihood = -27859.055
Iteration 21: (EM) log likelihood = -27859.688
Iteration 22: (EM) log likelihood = -27860.348
Iteration 23: (EM) log likelihood = -27860.927
Iteration 24: (EM) log likelihood = -27861.333
Iteration 25: (EM) log likelihood = -27861.661
Iteration 26: (EM) log likelihood = -27861.967
Iteration 27: (EM) log likelihood = -27862.202
Iteration 28: (EM) log likelihood = -27862.361
Iteration 29: (EM) log likelihood = -27862.486
Iteration 30: (EM) log likelihood = -27862.566
Iteration 31: (EM) log likelihood = -27862.638
Iteration 32: (EM) log likelihood = -27862.688
Iteration 33: (EM) log likelihood = -27862.727
Iteration 34: (EM) log likelihood = -27862.754
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.2522
Iteration 1: (class) log likelihood = -2626.2522
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29167.209
Iteration 1: (outcome) log likelihood = -29167.209
Refining starting values:
Iteration 0: (EM) log likelihood = -31792.513
Iteration 1: (EM) log likelihood = -31788.204
Iteration 2: (EM) log likelihood = -31775.438
Iteration 3: (EM) log likelihood = -31733.383
Iteration 4: (EM) log likelihood = -31587.641
Iteration 5: (EM) log likelihood = -31165.422
Iteration 6: (EM) log likelihood = -30430.055
Iteration 7: (EM) log likelihood = -29737.451
Iteration 8: (EM) log likelihood = -29244.642
Iteration 9: (EM) log likelihood = -28882.013
Iteration 10: (EM) log likelihood = -28590.549
Iteration 11: (EM) log likelihood = -28338.851
Iteration 12: (EM) log likelihood = -28133.835
Iteration 13: (EM) log likelihood = -27995.503
Iteration 14: (EM) log likelihood = -27919.004
Iteration 15: (EM) log likelihood = -27882.554
Iteration 16: (EM) log likelihood = -27867.009
Iteration 17: (EM) log likelihood = -27860.955
Iteration 18: (EM) log likelihood = -27858.85
Iteration 19: (EM) log likelihood = -27858.167
Iteration 20: (EM) log likelihood = -27858.19
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.9914
Iteration 1: (class) log likelihood = -2625.9914
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29165.564
Iteration 1: (outcome) log likelihood = -29165.564
Refining starting values:
Iteration 0: (EM) log likelihood = -31789.808
Iteration 1: (EM) log likelihood = -31784.606
Iteration 2: (EM) log likelihood = -31773.913
Iteration 3: (EM) log likelihood = -31753.984
Iteration 4: (EM) log likelihood = -31718.685
Iteration 5: (EM) log likelihood = -31657.834
Iteration 6: (EM) log likelihood = -31553.976
Iteration 7: (EM) log likelihood = -31376.11
Iteration 8: (EM) log likelihood = -31071.267
Iteration 9: (EM) log likelihood = -30590.98
Iteration 10: (EM) log likelihood = -30037.031
Iteration 11: (EM) log likelihood = -29603.87
Iteration 12: (EM) log likelihood = -29301.264
Iteration 13: (EM) log likelihood = -29061.978
Iteration 14: (EM) log likelihood = -28845.474
Iteration 15: (EM) log likelihood = -28634.696
Iteration 16: (EM) log likelihood = -28428.405
Iteration 17: (EM) log likelihood = -28230.645
Iteration 18: (EM) log likelihood = -28066.173
Iteration 19: (EM) log likelihood = -27959.55
Iteration 20: (EM) log likelihood = -27901.295
Iteration 21: (EM) log likelihood = -27873.4
Iteration 22: (EM) log likelihood = -27861.845
Iteration 23: (EM) log likelihood = -27857.988
Iteration 24: (EM) log likelihood = -27857.155
Iteration 25: (EM) log likelihood = -27857.203
Iteration 26: (EM) log likelihood = -27857.48
Iteration 27: (EM) log likelihood = -27857.829
Iteration 28: (EM) log likelihood = -27858.35
Iteration 29: (EM) log likelihood = -27859
Iteration 30: (EM) log likelihood = -27859.691
Iteration 31: (EM) log likelihood = -27860.343
Iteration 32: (EM) log likelihood = -27860.882
Iteration 33: (EM) log likelihood = -27861.354
Iteration 34: (EM) log likelihood = -27861.729
Iteration 35: (EM) log likelihood = -27862.037
Iteration 36: (EM) log likelihood = -27862.241
Iteration 37: (EM) log likelihood = -27862.391
Iteration 38: (EM) log likelihood = -27862.512
Iteration 39: (EM) log likelihood = -27862.589
Iteration 40: (EM) log likelihood = -27862.659
Iteration 41: (EM) log likelihood = -27862.703
Iteration 42: (EM) log likelihood = -27862.74
Iteration 43: (EM) log likelihood = -27862.763
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.3314
Iteration 1: (class) log likelihood = -2626.3314
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29161.17
Iteration 1: (outcome) log likelihood = -29161.17
Refining starting values:
Iteration 0: (EM) log likelihood = -31781.015
Iteration 1: (EM) log likelihood = -31760.077
Iteration 2: (EM) log likelihood = -31689.817
Iteration 3: (EM) log likelihood = -31461.09
Iteration 4: (EM) log likelihood = -30916.192
Iteration 5: (EM) log likelihood = -30168.314
Iteration 6: (EM) log likelihood = -29482.414
Iteration 7: (EM) log likelihood = -28946.926
Iteration 8: (EM) log likelihood = -28563.029
Iteration 9: (EM) log likelihood = -28279.518
Iteration 10: (EM) log likelihood = -28077.356
Iteration 11: (EM) log likelihood = -27957.927
Iteration 12: (EM) log likelihood = -27899.45
Iteration 13: (EM) log likelihood = -27874.017
Iteration 14: (EM) log likelihood = -27863.77
Iteration 15: (EM) log likelihood = -27859.864
Iteration 16: (EM) log likelihood = -27858.497
Iteration 17: (EM) log likelihood = -27858.286
Iteration 18: (EM) log likelihood = -27858.631
Iteration 19: (EM) log likelihood = -27859.213
Iteration 20: (EM) log likelihood = -27859.86
Iteration 21: (EM) log likelihood = -27860.45
Iteration 22: (EM) log likelihood = -27860.992
Iteration 23: (EM) log likelihood = -27861.442
Iteration 24: (EM) log likelihood = -27861.783
Iteration 25: (EM) log likelihood = -27862.043
Iteration 26: (EM) log likelihood = -27862.244
Iteration 27: (EM) log likelihood = -27862.397
Iteration 28: (EM) log likelihood = -27862.507
Iteration 29: (EM) log likelihood = -27862.597
Iteration 30: (EM) log likelihood = -27862.656
Iteration 31: (EM) log likelihood = -27862.704
Iteration 32: (EM) log likelihood = -27862.737
Iteration 33: (EM) log likelihood = -27862.763
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.8753
Iteration 1: (class) log likelihood = -2625.8753
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29159.795
Iteration 1: (outcome) log likelihood = -29159.795
Refining starting values:
Iteration 0: (EM) log likelihood = -31779.122
Iteration 1: (EM) log likelihood = -31753.878
Iteration 2: (EM) log likelihood = -31673.42
Iteration 3: (EM) log likelihood = -31435.152
Iteration 4: (EM) log likelihood = -30907.568
Iteration 5: (EM) log likelihood = -30203.557
Iteration 6: (EM) log likelihood = -29543.347
Iteration 7: (EM) log likelihood = -28998.252
Iteration 8: (EM) log likelihood = -28595.85
Iteration 9: (EM) log likelihood = -28301.583
Iteration 10: (EM) log likelihood = -28092.024
Iteration 11: (EM) log likelihood = -27965.802
Iteration 12: (EM) log likelihood = -27902.778
Iteration 13: (EM) log likelihood = -27875.092
Iteration 14: (EM) log likelihood = -27863.994
Iteration 15: (EM) log likelihood = -27859.79
Iteration 16: (EM) log likelihood = -27858.495
Iteration 17: (EM) log likelihood = -27858.174
Iteration 18: (EM) log likelihood = -27858.446
Iteration 19: (EM) log likelihood = -27858.965
Iteration 20: (EM) log likelihood = -27859.559
Iteration 21: (EM) log likelihood = -27860.219
Iteration 22: (EM) log likelihood = -27860.815
Iteration 23: (EM) log likelihood = -27861.245
Iteration 24: (EM) log likelihood = -27861.569
Iteration 25: (EM) log likelihood = -27861.883
Iteration 26: (EM) log likelihood = -27862.136
Iteration 27: (EM) log likelihood = -27862.329
Iteration 28: (EM) log likelihood = -27862.466
Iteration 29: (EM) log likelihood = -27862.563
Iteration 30: (EM) log likelihood = -27862.634
Iteration 31: (EM) log likelihood = -27862.688
Iteration 32: (EM) log likelihood = -27862.726
Iteration 33: (EM) log likelihood = -27862.755
Iteration 34: (EM) log likelihood = -27862.775
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.173
Iteration 1: (class) log likelihood = -2626.173
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29168.14
Iteration 1: (outcome) log likelihood = -29168.14
Refining starting values:
Iteration 0: (EM) log likelihood = -31794.32
Iteration 1: (EM) log likelihood = -31793.354
Iteration 2: (EM) log likelihood = -31790.885
Iteration 3: (EM) log likelihood = -31785.706
Iteration 4: (EM) log likelihood = -31775.321
Iteration 5: (EM) log likelihood = -31754.73
Iteration 6: (EM) log likelihood = -31713.921
Iteration 7: (EM) log likelihood = -31632.362
Iteration 8: (EM) log likelihood = -31470.962
Iteration 9: (EM) log likelihood = -31178.74
Iteration 10: (EM) log likelihood = -30730.921
Iteration 11: (EM) log likelihood = -30175.598
Iteration 12: (EM) log likelihood = -29592.296
Iteration 13: (EM) log likelihood = -29022.22
Iteration 14: (EM) log likelihood = -28567.15
Iteration 15: (EM) log likelihood = -28253.989
Iteration 16: (EM) log likelihood = -28044.948
Iteration 17: (EM) log likelihood = -27933.403
Iteration 18: (EM) log likelihood = -27886.166
Iteration 19: (EM) log likelihood = -27868.223
Iteration 20: (EM) log likelihood = -27861.613
Iteration 21: (EM) log likelihood = -27859.216
Iteration 22: (EM) log likelihood = -27858.547
Iteration 23: (EM) log likelihood = -27858.69
Iteration 24: (EM) log likelihood = -27859.183
Iteration 25: (EM) log likelihood = -27859.835
Iteration 26: (EM) log likelihood = -27860.427
Iteration 27: (EM) log likelihood = -27860.965
Iteration 28: (EM) log likelihood = -27861.398
Iteration 29: (EM) log likelihood = -27861.753
Iteration 30: (EM) log likelihood = -27862.021
Iteration 31: (EM) log likelihood = -27862.237
Iteration 32: (EM) log likelihood = -27862.388
Iteration 33: (EM) log likelihood = -27862.517
Iteration 34: (EM) log likelihood = -27862.6
Iteration 35: (EM) log likelihood = -27862.659
Iteration 36: (EM) log likelihood = -27862.7
Iteration 37: (EM) log likelihood = -27862.733
Iteration 38: (EM) log likelihood = -27862.757
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.154
Iteration 1: (class) log likelihood = -2626.154
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29167.04
Iteration 1: (outcome) log likelihood = -29167.04
Refining starting values:
Iteration 0: (EM) log likelihood = -31792.311
Iteration 1: (EM) log likelihood = -31789.231
Iteration 2: (EM) log likelihood = -31782.259
Iteration 3: (EM) log likelihood = -31767.63
Iteration 4: (EM) log likelihood = -31737.972
Iteration 5: (EM) log likelihood = -31680.326
Iteration 6: (EM) log likelihood = -31574.526
Iteration 7: (EM) log likelihood = -31392.371
Iteration 8: (EM) log likelihood = -31094.014
Iteration 9: (EM) log likelihood = -30643.172
Iteration 10: (EM) log likelihood = -30131.268
Iteration 11: (EM) log likelihood = -29728.556
Iteration 12: (EM) log likelihood = -29445.198
Iteration 13: (EM) log likelihood = -29216.332
Iteration 14: (EM) log likelihood = -29001.792
Iteration 15: (EM) log likelihood = -28786.987
Iteration 16: (EM) log likelihood = -28567.345
Iteration 17: (EM) log likelihood = -28347.713
Iteration 18: (EM) log likelihood = -28153.484
Iteration 19: (EM) log likelihood = -28014.59
Iteration 20: (EM) log likelihood = -27931.173
Iteration 21: (EM) log likelihood = -27887.479
Iteration 22: (EM) log likelihood = -27867.428
Iteration 23: (EM) log likelihood = -27859.641
Iteration 24: (EM) log likelihood = -27857.359
Iteration 25: (EM) log likelihood = -27857.055
Iteration 26: (EM) log likelihood = -27857.238
Iteration 27: (EM) log likelihood = -27857.549
Iteration 28: (EM) log likelihood = -27857.984
Iteration 29: (EM) log likelihood = -27858.56
Iteration 30: (EM) log likelihood = -27859.232
Iteration 31: (EM) log likelihood = -27859.913
Iteration 32: (EM) log likelihood = -27860.521
Iteration 33: (EM) log likelihood = -27861.033
Iteration 34: (EM) log likelihood = -27861.486
Iteration 35: (EM) log likelihood = -27861.796
Iteration 36: (EM) log likelihood = -27862.024
Iteration 37: (EM) log likelihood = -27862.227
Iteration 38: (EM) log likelihood = -27862.389
Iteration 39: (EM) log likelihood = -27862.505
Iteration 40: (EM) log likelihood = -27862.594
Iteration 41: (EM) log likelihood = -27862.657
Iteration 42: (EM) log likelihood = -27862.706
Iteration 43: (EM) log likelihood = -27862.739
Iteration 44: (EM) log likelihood = -27862.765
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.2522
Iteration 1: (class) log likelihood = -2626.2522
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29161.785
Iteration 1: (outcome) log likelihood = -29161.785
Refining starting values:
Iteration 0: (EM) log likelihood = -31790.96
Iteration 1: (EM) log likelihood = -31791.548
Iteration 2: (EM) log likelihood = -31790.135
Iteration 3: (EM) log likelihood = -31786.116
Iteration 4: (EM) log likelihood = -31777.692
Iteration 5: (EM) log likelihood = -31760.504
Iteration 6: (EM) log likelihood = -31723.055
Iteration 7: (EM) log likelihood = -31632.469
Iteration 8: (EM) log likelihood = -31407.599
Iteration 9: (EM) log likelihood = -30948.455
Iteration 10: (EM) log likelihood = -30315.164
Iteration 11: (EM) log likelihood = -29688.984
Iteration 12: (EM) log likelihood = -29147.726
Iteration 13: (EM) log likelihood = -28725.975
Iteration 14: (EM) log likelihood = -28417.41
Iteration 15: (EM) log likelihood = -28174.076
Iteration 16: (EM) log likelihood = -28003.322
Iteration 17: (EM) log likelihood = -27916.356
Iteration 18: (EM) log likelihood = -27880.327
Iteration 19: (EM) log likelihood = -27866.373
Iteration 20: (EM) log likelihood = -27861.126
Iteration 21: (EM) log likelihood = -27859.36
Iteration 22: (EM) log likelihood = -27859.055
Iteration 23: (EM) log likelihood = -27859.386
Iteration 24: (EM) log likelihood = -27859.941
Iteration 25: (EM) log likelihood = -27860.54
Iteration 26: (EM) log likelihood = -27861.043
Iteration 27: (EM) log likelihood = -27861.474
Iteration 28: (EM) log likelihood = -27861.819
Iteration 29: (EM) log likelihood = -27862.034
Iteration 30: (EM) log likelihood = -27862.233
Iteration 31: (EM) log likelihood = -27862.4
Iteration 32: (EM) log likelihood = -27862.5
Iteration 33: (EM) log likelihood = -27862.587
Iteration 34: (EM) log likelihood = -27862.653
Iteration 35: (EM) log likelihood = -27862.701
Iteration 36: (EM) log likelihood = -27862.735
Iteration 37: (EM) log likelihood = -27862.759
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.964
Iteration 1: (class) log likelihood = -2625.964
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29166.309
Iteration 1: (outcome) log likelihood = -29166.309
Refining starting values:
Iteration 0: (EM) log likelihood = -31792.21
Iteration 1: (EM) log likelihood = -31787.721
Iteration 2: (EM) log likelihood = -31768.826
Iteration 3: (EM) log likelihood = -31693.472
Iteration 4: (EM) log likelihood = -31429.339
Iteration 5: (EM) log likelihood = -30811.499
Iteration 6: (EM) log likelihood = -30028.409
Iteration 7: (EM) log likelihood = -29383.044
Iteration 8: (EM) log likelihood = -28917.082
Iteration 9: (EM) log likelihood = -28575.806
Iteration 10: (EM) log likelihood = -28305.837
Iteration 11: (EM) log likelihood = -28100.774
Iteration 12: (EM) log likelihood = -27972.633
Iteration 13: (EM) log likelihood = -27906.773
Iteration 14: (EM) log likelihood = -27877.087
Iteration 15: (EM) log likelihood = -27864.887
Iteration 16: (EM) log likelihood = -27860.218
Iteration 17: (EM) log likelihood = -27858.559
Iteration 18: (EM) log likelihood = -27858.173
Iteration 19: (EM) log likelihood = -27858.442
Iteration 20: (EM) log likelihood = -27858.872
Iteration 21: (EM) log likelihood = -27859.487
Iteration 22: (EM) log likelihood = -27860.155
Iteration 23: (EM) log likelihood = -27860.743
Iteration 24: (EM) log likelihood = -27861.236
Iteration 25: (EM) log likelihood = -27861.641
Iteration 26: (EM) log likelihood = -27861.922
Iteration 27: (EM) log likelihood = -27862.162
Iteration 28: (EM) log likelihood = -27862.332
Iteration 29: (EM) log likelihood = -27862.46
Iteration 30: (EM) log likelihood = -27862.56
Iteration 31: (EM) log likelihood = -27862.633
Iteration 32: (EM) log likelihood = -27862.681
Iteration 33: (EM) log likelihood = -27862.72
Iteration 34: (EM) log likelihood = -27862.747
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.191
Iteration 1: (class) log likelihood = -2626.191
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29164.37
Iteration 1: (outcome) log likelihood = -29164.37
Refining starting values:
Iteration 0: (EM) log likelihood = -31788.287
Iteration 1: (EM) log likelihood = -31780.045
Iteration 2: (EM) log likelihood = -31755.64
Iteration 3: (EM) log likelihood = -31680.544
Iteration 4: (EM) log likelihood = -31456.545
Iteration 5: (EM) log likelihood = -30942.012
Iteration 6: (EM) log likelihood = -30227.66
Iteration 7: (EM) log likelihood = -29554.956
Iteration 8: (EM) log likelihood = -28997.82
Iteration 9: (EM) log likelihood = -28589.734
Iteration 10: (EM) log likelihood = -28295.789
Iteration 11: (EM) log likelihood = -28085.309
Iteration 12: (EM) log likelihood = -27960.185
Iteration 13: (EM) log likelihood = -27899.874
Iteration 14: (EM) log likelihood = -27874.178
Iteration 15: (EM) log likelihood = -27863.916
Iteration 16: (EM) log likelihood = -27860.106
Iteration 17: (EM) log likelihood = -27858.841
Iteration 18: (EM) log likelihood = -27858.641
Iteration 19: (EM) log likelihood = -27858.995
Iteration 20: (EM) log likelihood = -27859.579
Iteration 21: (EM) log likelihood = -27860.153
Iteration 22: (EM) log likelihood = -27860.735
Iteration 23: (EM) log likelihood = -27861.221
Iteration 24: (EM) log likelihood = -27861.606
Iteration 25: (EM) log likelihood = -27861.93
Iteration 26: (EM) log likelihood = -27862.169
Iteration 27: (EM) log likelihood = -27862.348
Iteration 28: (EM) log likelihood = -27862.483
Iteration 29: (EM) log likelihood = -27862.571
Iteration 30: (EM) log likelihood = -27862.638
Iteration 31: (EM) log likelihood = -27862.684
Iteration 32: (EM) log likelihood = -27862.724
Iteration 33: (EM) log likelihood = -27862.752
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.0432
Iteration 1: (class) log likelihood = -2626.0432
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29159.455
Iteration 1: (outcome) log likelihood = -29159.455
Refining starting values:
Iteration 0: (EM) log likelihood = -31785.212
Iteration 1: (EM) log likelihood = -31781.321
Iteration 2: (EM) log likelihood = -31770.588
Iteration 3: (EM) log likelihood = -31743.467
Iteration 4: (EM) log likelihood = -31672.197
Iteration 5: (EM) log likelihood = -31476.655
Iteration 6: (EM) log likelihood = -31017.287
Iteration 7: (EM) log likelihood = -30355.635
Iteration 8: (EM) log likelihood = -29810.094
Iteration 9: (EM) log likelihood = -29437.932
Iteration 10: (EM) log likelihood = -29145.97
Iteration 11: (EM) log likelihood = -28890.024
Iteration 12: (EM) log likelihood = -28655.599
Iteration 13: (EM) log likelihood = -28428.974
Iteration 14: (EM) log likelihood = -28212.504
Iteration 15: (EM) log likelihood = -28043.851
Iteration 16: (EM) log likelihood = -27943.632
Iteration 17: (EM) log likelihood = -27893.447
Iteration 18: (EM) log likelihood = -27871.215
Iteration 19: (EM) log likelihood = -27862.374
Iteration 20: (EM) log likelihood = -27859.174
Iteration 21: (EM) log likelihood = -27858.122
Iteration 22: (EM) log likelihood = -27857.935
Iteration 23: (EM) log likelihood = -27858.215
Iteration 24: (EM) log likelihood = -27858.76
Iteration 25: (EM) log likelihood = -27859.409
Iteration 26: (EM) log likelihood = -27860.073
Iteration 27: (EM) log likelihood = -27860.694
Iteration 28: (EM) log likelihood = -27861.184
Iteration 29: (EM) log likelihood = -27861.585
Iteration 30: (EM) log likelihood = -27861.848
Iteration 31: (EM) log likelihood = -27862.098
Iteration 32: (EM) log likelihood = -27862.29
Iteration 33: (EM) log likelihood = -27862.435
Iteration 34: (EM) log likelihood = -27862.539
Iteration 35: (EM) log likelihood = -27862.614
Iteration 36: (EM) log likelihood = -27862.673
Iteration 37: (EM) log likelihood = -27862.715
Iteration 38: (EM) log likelihood = -27862.747
Iteration 39: (EM) log likelihood = -27862.769
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.8109
Iteration 1: (class) log likelihood = -2625.8109
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29163.544
Iteration 1: (outcome) log likelihood = -29163.544
Refining starting values:
Iteration 0: (EM) log likelihood = -31785.796
Iteration 1: (EM) log likelihood = -31773.093
Iteration 2: (EM) log likelihood = -31730.105
Iteration 3: (EM) log likelihood = -31583.462
Iteration 4: (EM) log likelihood = -31171.428
Iteration 5: (EM) log likelihood = -30459.056
Iteration 6: (EM) log likelihood = -29741.088
Iteration 7: (EM) log likelihood = -29180.301
Iteration 8: (EM) log likelihood = -28760.529
Iteration 9: (EM) log likelihood = -28447.778
Iteration 10: (EM) log likelihood = -28201.167
Iteration 11: (EM) log likelihood = -28025.859
Iteration 12: (EM) log likelihood = -27930.114
Iteration 13: (EM) log likelihood = -27886.862
Iteration 14: (EM) log likelihood = -27869.007
Iteration 15: (EM) log likelihood = -27861.96
Iteration 16: (EM) log likelihood = -27859.391
Iteration 17: (EM) log likelihood = -27858.69
Iteration 18: (EM) log likelihood = -27858.83
Iteration 19: (EM) log likelihood = -27859.295
Iteration 20: (EM) log likelihood = -27859.923
Iteration 21: (EM) log likelihood = -27860.483
Iteration 22: (EM) log likelihood = -27861.021
Iteration 23: (EM) log likelihood = -27861.467
Iteration 24: (EM) log likelihood = -27861.807
Iteration 25: (EM) log likelihood = -27862.034
Iteration 26: (EM) log likelihood = -27862.241
Iteration 27: (EM) log likelihood = -27862.41
Iteration 28: (EM) log likelihood = -27862.512
Iteration 29: (EM) log likelihood = -27862.6
Iteration 30: (EM) log likelihood = -27862.656
Iteration 31: (EM) log likelihood = -27862.705
Iteration 32: (EM) log likelihood = -27862.733
Iteration 33: (EM) log likelihood = -27862.761
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.964
Iteration 1: (class) log likelihood = -2625.964
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29162.244
Iteration 1: (outcome) log likelihood = -29162.244
Refining starting values:
Iteration 0: (EM) log likelihood = -31780.931
Iteration 1: (EM) log likelihood = -31749.435
Iteration 2: (EM) log likelihood = -31626.684
Iteration 3: (EM) log likelihood = -31240.777
Iteration 4: (EM) log likelihood = -30515.633
Iteration 5: (EM) log likelihood = -29780.463
Iteration 6: (EM) log likelihood = -29236.875
Iteration 7: (EM) log likelihood = -28844.847
Iteration 8: (EM) log likelihood = -28542.507
Iteration 9: (EM) log likelihood = -28290.386
Iteration 10: (EM) log likelihood = -28094.332
Iteration 11: (EM) log likelihood = -27970.372
Iteration 12: (EM) log likelihood = -27906.014
Iteration 13: (EM) log likelihood = -27876.802
Iteration 14: (EM) log likelihood = -27864.768
Iteration 15: (EM) log likelihood = -27860.163
Iteration 16: (EM) log likelihood = -27858.54
Iteration 17: (EM) log likelihood = -27858.107
Iteration 18: (EM) log likelihood = -27858.338
Iteration 19: (EM) log likelihood = -27858.851
Iteration 20: (EM) log likelihood = -27859.493
Iteration 21: (EM) log likelihood = -27860.135
Iteration 22: (EM) log likelihood = -27860.727
Iteration 23: (EM) log likelihood = -27861.225
Iteration 24: (EM) log likelihood = -27861.633
Iteration 25: (EM) log likelihood = -27861.947
Iteration 26: (EM) log likelihood = -27862.169
Iteration 27: (EM) log likelihood = -27862.334
Iteration 28: (EM) log likelihood = -27862.466
Iteration 29: (EM) log likelihood = -27862.559
Iteration 30: (EM) log likelihood = -27862.632
Iteration 31: (EM) log likelihood = -27862.684
Iteration 32: (EM) log likelihood = -27862.725
Iteration 33: (EM) log likelihood = -27862.753
Iteration 34: (EM) log likelihood = -27862.774
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.2649
Iteration 1: (class) log likelihood = -2626.2649
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29157.141
Iteration 1: (outcome) log likelihood = -29157.141
Refining starting values:
Iteration 0: (EM) log likelihood = -31776.67
Iteration 1: (EM) log likelihood = -31760.392
Iteration 2: (EM) log likelihood = -31726.274
Iteration 3: (EM) log likelihood = -31650.469
Iteration 4: (EM) log likelihood = -31470.024
Iteration 5: (EM) log likelihood = -31059.92
Iteration 6: (EM) log likelihood = -30395.9
Iteration 7: (EM) log likelihood = -29768.391
Iteration 8: (EM) log likelihood = -29315.184
Iteration 9: (EM) log likelihood = -28968.646
Iteration 10: (EM) log likelihood = -28692.428
Iteration 11: (EM) log likelihood = -28460.137
Iteration 12: (EM) log likelihood = -28253.869
Iteration 13: (EM) log likelihood = -28081.869
Iteration 14: (EM) log likelihood = -27966.166
Iteration 15: (EM) log likelihood = -27904.558
Iteration 16: (EM) log likelihood = -27876.454
Iteration 17: (EM) log likelihood = -27864.81
Iteration 18: (EM) log likelihood = -27860.284
Iteration 19: (EM) log likelihood = -27858.679
Iteration 20: (EM) log likelihood = -27858.345
Iteration 21: (EM) log likelihood = -27858.607
Iteration 22: (EM) log likelihood = -27859.221
Iteration 23: (EM) log likelihood = -27859.866
Iteration 24: (EM) log likelihood = -27860.48
Iteration 25: (EM) log likelihood = -27860.988
Iteration 26: (EM) log likelihood = -27861.444
Iteration 27: (EM) log likelihood = -27861.812
Iteration 28: (EM) log likelihood = -27862.048
Iteration 29: (EM) log likelihood = -27862.238
Iteration 30: (EM) log likelihood = -27862.391
Iteration 31: (EM) log likelihood = -27862.515
Iteration 32: (EM) log likelihood = -27862.601
Iteration 33: (EM) log likelihood = -27862.662
Iteration 34: (EM) log likelihood = -27862.706
Iteration 35: (EM) log likelihood = -27862.74
Iteration 36: (EM) log likelihood = -27862.764
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.305
Iteration 1: (class) log likelihood = -2626.305
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29164.427
Iteration 1: (outcome) log likelihood = -29164.427
Refining starting values:
Iteration 0: (EM) log likelihood = -31788.748
Iteration 1: (EM) log likelihood = -31777.002
Iteration 2: (EM) log likelihood = -31729.619
Iteration 3: (EM) log likelihood = -31555.437
Iteration 4: (EM) log likelihood = -31073.48
Iteration 5: (EM) log likelihood = -30312.415
Iteration 6: (EM) log likelihood = -29624.896
Iteration 7: (EM) log likelihood = -29133.704
Iteration 8: (EM) log likelihood = -28779.069
Iteration 9: (EM) log likelihood = -28497.964
Iteration 10: (EM) log likelihood = -28253
Iteration 11: (EM) log likelihood = -28064.724
Iteration 12: (EM) log likelihood = -27952.088
Iteration 13: (EM) log likelihood = -27897.022
Iteration 14: (EM) log likelihood = -27873.123
Iteration 15: (EM) log likelihood = -27863.48
Iteration 16: (EM) log likelihood = -27859.793
Iteration 17: (EM) log likelihood = -27858.542
Iteration 18: (EM) log likelihood = -27858.377
Iteration 19: (EM) log likelihood = -27858.755
Iteration 20: (EM) log likelihood = -27859.366
Iteration 21: (EM) log likelihood = -27859.994
Iteration 22: (EM) log likelihood = -27860.595
Iteration 23: (EM) log likelihood = -27861.11
Iteration 24: (EM) log likelihood = -27861.526
Iteration 25: (EM) log likelihood = -27861.86
Iteration 26: (EM) log likelihood = -27862.108
Iteration 27: (EM) log likelihood = -27862.294
Iteration 28: (EM) log likelihood = -27862.434
Iteration 29: (EM) log likelihood = -27862.538
Iteration 30: (EM) log likelihood = -27862.615
Iteration 31: (EM) log likelihood = -27862.672
Iteration 32: (EM) log likelihood = -27862.713
Iteration 33: (EM) log likelihood = -27862.745
Iteration 34: (EM) log likelihood = -27862.768
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.0674
Iteration 1: (class) log likelihood = -2626.0674
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29158.483
Iteration 1: (outcome) log likelihood = -29158.483
Refining starting values:
Iteration 0: (EM) log likelihood = -31763.403
Iteration 1: (EM) log likelihood = -31679.355
Iteration 2: (EM) log likelihood = -31388.165
Iteration 3: (EM) log likelihood = -30720.438
Iteration 4: (EM) log likelihood = -29909.069
Iteration 5: (EM) log likelihood = -29289.346
Iteration 6: (EM) log likelihood = -28865.669
Iteration 7: (EM) log likelihood = -28551.132
Iteration 8: (EM) log likelihood = -28295.086
Iteration 9: (EM) log likelihood = -28099.11
Iteration 10: (EM) log likelihood = -27974.55
Iteration 11: (EM) log likelihood = -27908.644
Iteration 12: (EM) log likelihood = -27878.116
Iteration 13: (EM) log likelihood = -27865.333
Iteration 14: (EM) log likelihood = -27860.385
Iteration 15: (EM) log likelihood = -27858.6
Iteration 16: (EM) log likelihood = -27858.187
Iteration 17: (EM) log likelihood = -27858.364
Iteration 18: (EM) log likelihood = -27858.832
Iteration 19: (EM) log likelihood = -27859.438
Iteration 20: (EM) log likelihood = -27860.091
Iteration 21: (EM) log likelihood = -27860.687
Iteration 22: (EM) log likelihood = -27861.211
Iteration 23: (EM) log likelihood = -27861.597
Iteration 24: (EM) log likelihood = -27861.912
Iteration 25: (EM) log likelihood = -27862.173
Iteration 26: (EM) log likelihood = -27862.341
Iteration 27: (EM) log likelihood = -27862.47
Iteration 28: (EM) log likelihood = -27862.565
Iteration 29: (EM) log likelihood = -27862.634
Iteration 30: (EM) log likelihood = -27862.684
Iteration 31: (EM) log likelihood = -27862.724
Iteration 32: (EM) log likelihood = -27862.752
Iteration 33: (EM) log likelihood = -27862.773
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.0674
Iteration 1: (class) log likelihood = -2626.0674
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29167.849
Iteration 1: (outcome) log likelihood = -29167.849
Refining starting values:
Iteration 0: (EM) log likelihood = -31788.977
Iteration 1: (EM) log likelihood = -31766.847
Iteration 2: (EM) log likelihood = -31675.775
Iteration 3: (EM) log likelihood = -31362.031
Iteration 4: (EM) log likelihood = -30683.863
Iteration 5: (EM) log likelihood = -29921.879
Iteration 6: (EM) log likelihood = -29357.763
Iteration 7: (EM) log likelihood = -28954.524
Iteration 8: (EM) log likelihood = -28640.561
Iteration 9: (EM) log likelihood = -28374.446
Iteration 10: (EM) log likelihood = -28154.375
Iteration 11: (EM) log likelihood = -28004.38
Iteration 12: (EM) log likelihood = -27922.413
Iteration 13: (EM) log likelihood = -27884.023
Iteration 14: (EM) log likelihood = -27867.757
Iteration 15: (EM) log likelihood = -27861.349
Iteration 16: (EM) log likelihood = -27858.973
Iteration 17: (EM) log likelihood = -27858.26
Iteration 18: (EM) log likelihood = -27858.364
Iteration 19: (EM) log likelihood = -27858.824
Iteration 20: (EM) log likelihood = -27859.455
Iteration 21: (EM) log likelihood = -27860.105
Iteration 22: (EM) log likelihood = -27860.686
Iteration 23: (EM) log likelihood = -27861.187
Iteration 24: (EM) log likelihood = -27861.583
Iteration 25: (EM) log likelihood = -27861.84
Iteration 26: (EM) log likelihood = -27862.086
Iteration 27: (EM) log likelihood = -27862.276
Iteration 28: (EM) log likelihood = -27862.421
Iteration 29: (EM) log likelihood = -27862.535
Iteration 30: (EM) log likelihood = -27862.611
Iteration 31: (EM) log likelihood = -27862.674
Iteration 32: (EM) log likelihood = -27862.712
Iteration 33: (EM) log likelihood = -27862.746
Iteration 34: (EM) log likelihood = -27862.767
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.173
Iteration 1: (class) log likelihood = -2626.173
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29163.15
Iteration 1: (outcome) log likelihood = -29163.15
Refining starting values:
Iteration 0: (EM) log likelihood = -31787.79
Iteration 1: (EM) log likelihood = -31781.733
Iteration 2: (EM) log likelihood = -31762.828
Iteration 3: (EM) log likelihood = -31701.25
Iteration 4: (EM) log likelihood = -31503.249
Iteration 5: (EM) log likelihood = -31012.143
Iteration 6: (EM) log likelihood = -30294.333
Iteration 7: (EM) log likelihood = -29604.311
Iteration 8: (EM) log likelihood = -29023.499
Iteration 9: (EM) log likelihood = -28592.874
Iteration 10: (EM) log likelihood = -28285.988
Iteration 11: (EM) log likelihood = -28073.114
Iteration 12: (EM) log likelihood = -27951.852
Iteration 13: (EM) log likelihood = -27895.595
Iteration 14: (EM) log likelihood = -27872.283
Iteration 15: (EM) log likelihood = -27863.107
Iteration 16: (EM) log likelihood = -27859.675
Iteration 17: (EM) log likelihood = -27858.644
Iteration 18: (EM) log likelihood = -27858.569
Iteration 19: (EM) log likelihood = -27858.98
Iteration 20: (EM) log likelihood = -27859.583
Iteration 21: (EM) log likelihood = -27860.173
Iteration 22: (EM) log likelihood = -27860.749
Iteration 23: (EM) log likelihood = -27861.233
Iteration 24: (EM) log likelihood = -27861.631
Iteration 25: (EM) log likelihood = -27861.931
Iteration 26: (EM) log likelihood = -27862.174
Iteration 27: (EM) log likelihood = -27862.321
Iteration 28: (EM) log likelihood = -27862.457
Iteration 29: (EM) log likelihood = -27862.552
Iteration 30: (EM) log likelihood = -27862.638
Iteration 31: (EM) log likelihood = -27862.685
Iteration 32: (EM) log likelihood = -27862.716
Iteration 33: (EM) log likelihood = -27862.749
Iteration 34: (EM) log likelihood = -27862.771
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.7771
Iteration 1: (class) log likelihood = -2625.7771
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29165.204
Iteration 1: (outcome) log likelihood = -29165.204 (backed up)
Refining starting values:
Iteration 0: (EM) log likelihood = -31788.431
Iteration 1: (EM) log likelihood = -31773.85
Iteration 2: (EM) log likelihood = -31713.398
Iteration 3: (EM) log likelihood = -31492.396
Iteration 4: (EM) log likelihood = -30925.864
Iteration 5: (EM) log likelihood = -30130.83
Iteration 6: (EM) log likelihood = -29461.107
Iteration 7: (EM) log likelihood = -28987.048
Iteration 8: (EM) log likelihood = -28643.226
Iteration 9: (EM) log likelihood = -28369.451
Iteration 10: (EM) log likelihood = -28146.761
Iteration 11: (EM) log likelihood = -27996.808
Iteration 12: (EM) log likelihood = -27917.566
Iteration 13: (EM) log likelihood = -27881.808
Iteration 14: (EM) log likelihood = -27866.983
Iteration 15: (EM) log likelihood = -27861.153
Iteration 16: (EM) log likelihood = -27859.027
Iteration 17: (EM) log likelihood = -27858.486
Iteration 18: (EM) log likelihood = -27858.726
Iteration 19: (EM) log likelihood = -27859.289
Iteration 20: (EM) log likelihood = -27859.908
Iteration 21: (EM) log likelihood = -27860.511
Iteration 22: (EM) log likelihood = -27861.035
Iteration 23: (EM) log likelihood = -27861.459
Iteration 24: (EM) log likelihood = -27861.818
Iteration 25: (EM) log likelihood = -27862.08
Iteration 26: (EM) log likelihood = -27862.274
Iteration 27: (EM) log likelihood = -27862.417
Iteration 28: (EM) log likelihood = -27862.516
Iteration 29: (EM) log likelihood = -27862.601
Iteration 30: (EM) log likelihood = -27862.665
Iteration 31: (EM) log likelihood = -27862.707
Iteration 32: (EM) log likelihood = -27862.74
Iteration 33: (EM) log likelihood = -27862.764
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.2385
Iteration 1: (class) log likelihood = -2626.2385
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29167.712
Iteration 1: (outcome) log likelihood = -29167.712
Refining starting values:
Iteration 0: (EM) log likelihood = -31791.889
Iteration 1: (EM) log likelihood = -31786.263
Iteration 2: (EM) log likelihood = -31773.174
Iteration 3: (EM) log likelihood = -31742.408
Iteration 4: (EM) log likelihood = -31666.156
Iteration 5: (EM) log likelihood = -31477.317
Iteration 6: (EM) log likelihood = -31081.74
Iteration 7: (EM) log likelihood = -30478.801
Iteration 8: (EM) log likelihood = -29832.364
Iteration 9: (EM) log likelihood = -29269.787
Iteration 10: (EM) log likelihood = -28817.993
Iteration 11: (EM) log likelihood = -28487.849
Iteration 12: (EM) log likelihood = -28241.656
Iteration 13: (EM) log likelihood = -28051.765
Iteration 14: (EM) log likelihood = -27940.763
Iteration 15: (EM) log likelihood = -27890.514
Iteration 16: (EM) log likelihood = -27870.242
Iteration 17: (EM) log likelihood = -27862.348
Iteration 18: (EM) log likelihood = -27859.533
Iteration 19: (EM) log likelihood = -27858.67
Iteration 20: (EM) log likelihood = -27858.698
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.8753
Iteration 1: (class) log likelihood = -2625.8753
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29166.892
Iteration 1: (outcome) log likelihood = -29166.892
Refining starting values:
Iteration 0: (EM) log likelihood = -31792.516
Iteration 1: (EM) log likelihood = -31788.163
Iteration 2: (EM) log likelihood = -31772.786
Iteration 3: (EM) log likelihood = -31719.275
Iteration 4: (EM) log likelihood = -31537.81
Iteration 5: (EM) log likelihood = -31053.412
Iteration 6: (EM) log likelihood = -30295.914
Iteration 7: (EM) log likelihood = -29615.206
Iteration 8: (EM) log likelihood = -29122.704
Iteration 9: (EM) log likelihood = -28760.626
Iteration 10: (EM) log likelihood = -28472.26
Iteration 11: (EM) log likelihood = -28234.4
Iteration 12: (EM) log likelihood = -28059.343
Iteration 13: (EM) log likelihood = -27952.913
Iteration 14: (EM) log likelihood = -27898.283
Iteration 15: (EM) log likelihood = -27873.538
Iteration 16: (EM) log likelihood = -27863.427
Iteration 17: (EM) log likelihood = -27859.635
Iteration 18: (EM) log likelihood = -27858.394
Iteration 19: (EM) log likelihood = -27858.11
Iteration 20: (EM) log likelihood = -27858.358
Iteration 21: (EM) log likelihood = -27858.87
Iteration 22: (EM) log likelihood = -27859.493
Iteration 23: (EM) log likelihood = -27860.172
Iteration 24: (EM) log likelihood = -27860.745
Iteration 25: (EM) log likelihood = -27861.234
Iteration 26: (EM) log likelihood = -27861.628
Iteration 27: (EM) log likelihood = -27861.933
Iteration 28: (EM) log likelihood = -27862.157
Iteration 29: (EM) log likelihood = -27862.334
Iteration 30: (EM) log likelihood = -27862.462
Iteration 31: (EM) log likelihood = -27862.569
Iteration 32: (EM) log likelihood = -27862.635
Iteration 33: (EM) log likelihood = -27862.688
Iteration 34: (EM) log likelihood = -27862.725
Iteration 35: (EM) log likelihood = -27862.753
Iteration 36: (EM) log likelihood = -27862.774
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.2079
Iteration 1: (class) log likelihood = -2626.2079 (backed up)
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29165.849
Iteration 1: (outcome) log likelihood = -29165.849
Refining starting values:
Iteration 0: (EM) log likelihood = -31792.582
Iteration 1: (EM) log likelihood = -31788.235
Iteration 2: (EM) log likelihood = -31765.748
Iteration 3: (EM) log likelihood = -31669.779
Iteration 4: (EM) log likelihood = -31339.345
Iteration 5: (EM) log likelihood = -30645.897
Iteration 6: (EM) log likelihood = -29879.071
Iteration 7: (EM) log likelihood = -29300.378
Iteration 8: (EM) log likelihood = -28884.966
Iteration 9: (EM) log likelihood = -28567.845
Iteration 10: (EM) log likelihood = -28307.073
Iteration 11: (EM) log likelihood = -28102.883
Iteration 12: (EM) log likelihood = -27973.604
Iteration 13: (EM) log likelihood = -27907.193
Iteration 14: (EM) log likelihood = -27877.371
Iteration 15: (EM) log likelihood = -27865.099
Iteration 16: (EM) log likelihood = -27860.354
Iteration 17: (EM) log likelihood = -27858.651
Iteration 18: (EM) log likelihood = -27858.286
Iteration 19: (EM) log likelihood = -27858.551
Iteration 20: (EM) log likelihood = -27859.056
Iteration 21: (EM) log likelihood = -27859.692
Iteration 22: (EM) log likelihood = -27860.338
Iteration 23: (EM) log likelihood = -27860.909
Iteration 24: (EM) log likelihood = -27861.355
Iteration 25: (EM) log likelihood = -27861.687
Iteration 26: (EM) log likelihood = -27861.975
Iteration 27: (EM) log likelihood = -27862.203
Iteration 28: (EM) log likelihood = -27862.37
Iteration 29: (EM) log likelihood = -27862.492
Iteration 30: (EM) log likelihood = -27862.576
Iteration 31: (EM) log likelihood = -27862.643
Iteration 32: (EM) log likelihood = -27862.697
Iteration 33: (EM) log likelihood = -27862.735
Iteration 34: (EM) log likelihood = -27862.757
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.0178
Iteration 1: (class) log likelihood = -2626.0178
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29167.169
Iteration 1: (outcome) log likelihood = -29167.169
Refining starting values:
Iteration 0: (EM) log likelihood = -31791.336
Iteration 1: (EM) log likelihood = -31778.238
Iteration 2: (EM) log likelihood = -31722.199
Iteration 3: (EM) log likelihood = -31512.781
Iteration 4: (EM) log likelihood = -30960.791
Iteration 5: (EM) log likelihood = -30154.859
Iteration 6: (EM) log likelihood = -29436.028
Iteration 7: (EM) log likelihood = -28916.759
Iteration 8: (EM) log likelihood = -28556.204
Iteration 9: (EM) log likelihood = -28284.181
Iteration 10: (EM) log likelihood = -28081.595
Iteration 11: (EM) log likelihood = -27959.644
Iteration 12: (EM) log likelihood = -27900.095
Iteration 13: (EM) log likelihood = -27874.357
Iteration 14: (EM) log likelihood = -27863.977
Iteration 15: (EM) log likelihood = -27859.994
Iteration 16: (EM) log likelihood = -27858.707
Iteration 17: (EM) log likelihood = -27858.489
Iteration 18: (EM) log likelihood = -27858.819
Iteration 19: (EM) log likelihood = -27859.431
Iteration 20: (EM) log likelihood = -27860.063
Iteration 21: (EM) log likelihood = -27860.62
Iteration 22: (EM) log likelihood = -27861.122
Iteration 23: (EM) log likelihood = -27861.548
Iteration 24: (EM) log likelihood = -27861.869
Iteration 25: (EM) log likelihood = -27862.115
Iteration 26: (EM) log likelihood = -27862.296
Iteration 27: (EM) log likelihood = -27862.433
Iteration 28: (EM) log likelihood = -27862.54
Iteration 29: (EM) log likelihood = -27862.612
Iteration 30: (EM) log likelihood = -27862.673
Iteration 31: (EM) log likelihood = -27862.714
Iteration 32: (EM) log likelihood = -27862.746
Iteration 33: (EM) log likelihood = -27862.768
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.191
Iteration 1: (class) log likelihood = -2626.191
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29157.723
Iteration 1: (outcome) log likelihood = -29157.723
Refining starting values:
Iteration 0: (EM) log likelihood = -31783.917
Iteration 1: (EM) log likelihood = -31778.272
Iteration 2: (EM) log likelihood = -31757.654
Iteration 3: (EM) log likelihood = -31685.401
Iteration 4: (EM) log likelihood = -31447.174
Iteration 5: (EM) log likelihood = -30879.178
Iteration 6: (EM) log likelihood = -30118.54
Iteration 7: (EM) log likelihood = -29468.028
Iteration 8: (EM) log likelihood = -28985.177
Iteration 9: (EM) log likelihood = -28627.253
Iteration 10: (EM) log likelihood = -28346.132
Iteration 11: (EM) log likelihood = -28128.062
Iteration 12: (EM) log likelihood = -27987.3
Iteration 13: (EM) log likelihood = -27913.675
Iteration 14: (EM) log likelihood = -27880.226
Iteration 15: (EM) log likelihood = -27866.304
Iteration 16: (EM) log likelihood = -27861.048
Iteration 17: (EM) log likelihood = -27859.064
Iteration 18: (EM) log likelihood = -27858.497
Iteration 19: (EM) log likelihood = -27858.693
Iteration 20: (EM) log likelihood = -27859.128
Iteration 21: (EM) log likelihood = -27859.742
Iteration 22: (EM) log likelihood = -27860.363
Iteration 23: (EM) log likelihood = -27860.889
Iteration 24: (EM) log likelihood = -27861.287
Iteration 25: (EM) log likelihood = -27861.673
Iteration 26: (EM) log likelihood = -27861.986
Iteration 27: (EM) log likelihood = -27862.175
Iteration 28: (EM) log likelihood = -27862.353
Iteration 29: (EM) log likelihood = -27862.473
Iteration 30: (EM) log likelihood = -27862.577
Iteration 31: (EM) log likelihood = -27862.641
Iteration 32: (EM) log likelihood = -27862.693
Iteration 33: (EM) log likelihood = -27862.724
Iteration 34: (EM) log likelihood = -27862.752
Iteration 35: (EM) log likelihood = -27862.771
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.9059
Iteration 1: (class) log likelihood = -2625.9059
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29165.147
Iteration 1: (outcome) log likelihood = -29165.147
Refining starting values:
Iteration 0: (EM) log likelihood = -31789.226
Iteration 1: (EM) log likelihood = -31783.882
Iteration 2: (EM) log likelihood = -31773.051
Iteration 3: (EM) log likelihood = -31753.011
Iteration 4: (EM) log likelihood = -31717.074
Iteration 5: (EM) log likelihood = -31654.025
Iteration 6: (EM) log likelihood = -31547.11
Iteration 7: (EM) log likelihood = -31370.36
Iteration 8: (EM) log likelihood = -31073.526
Iteration 9: (EM) log likelihood = -30588.246
Iteration 10: (EM) log likelihood = -29996.835
Iteration 11: (EM) log likelihood = -29527.727
Iteration 12: (EM) log likelihood = -29194.7
Iteration 13: (EM) log likelihood = -28928.615
Iteration 14: (EM) log likelihood = -28694.81
Iteration 15: (EM) log likelihood = -28486.269
Iteration 16: (EM) log likelihood = -28297.873
Iteration 17: (EM) log likelihood = -28128.748
Iteration 18: (EM) log likelihood = -28001.111
Iteration 19: (EM) log likelihood = -27923.411
Iteration 20: (EM) log likelihood = -27883.845
Iteration 21: (EM) log likelihood = -27866.435
Iteration 22: (EM) log likelihood = -27859.912
Iteration 23: (EM) log likelihood = -27857.935
Iteration 24: (EM) log likelihood = -27857.51
Iteration 25: (EM) log likelihood = -27857.607
Iteration 26: (EM) log likelihood = -27857.902
Iteration 27: (EM) log likelihood = -27858.4
Iteration 28: (EM) log likelihood = -27859.017
Iteration 29: (EM) log likelihood = -27859.703
Iteration 30: (EM) log likelihood = -27860.34
Iteration 31: (EM) log likelihood = -27860.879
Iteration 32: (EM) log likelihood = -27861.305
Iteration 33: (EM) log likelihood = -27861.725
Iteration 34: (EM) log likelihood = -27861.988
Iteration 35: (EM) log likelihood = -27862.19
Iteration 36: (EM) log likelihood = -27862.358
Iteration 37: (EM) log likelihood = -27862.493
Iteration 38: (EM) log likelihood = -27862.579
Iteration 39: (EM) log likelihood = -27862.648
Iteration 40: (EM) log likelihood = -27862.696
Iteration 41: (EM) log likelihood = -27862.733
Iteration 42: (EM) log likelihood = -27862.759
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.191
Iteration 1: (class) log likelihood = -2626.191
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29163.048
Iteration 1: (outcome) log likelihood = -29163.048
Refining starting values:
Iteration 0: (EM) log likelihood = -31786.936
Iteration 1: (EM) log likelihood = -31777.651
Iteration 2: (EM) log likelihood = -31754.278
Iteration 3: (EM) log likelihood = -31696.669
Iteration 4: (EM) log likelihood = -31554.64
Iteration 5: (EM) log likelihood = -31224.488
Iteration 6: (EM) log likelihood = -30620.913
Iteration 7: (EM) log likelihood = -29929.099
Iteration 8: (EM) log likelihood = -29376.659
Iteration 9: (EM) log likelihood = -28965.374
Iteration 10: (EM) log likelihood = -28648.642
Iteration 11: (EM) log likelihood = -28395.182
Iteration 12: (EM) log likelihood = -28188.92
Iteration 13: (EM) log likelihood = -28034.538
Iteration 14: (EM) log likelihood = -27940.006
Iteration 15: (EM) log likelihood = -27892.256
Iteration 16: (EM) log likelihood = -27871.103
Iteration 17: (EM) log likelihood = -27862.586
Iteration 18: (EM) log likelihood = -27859.383
Iteration 19: (EM) log likelihood = -27858.311
Iteration 20: (EM) log likelihood = -27858.213
Iteration 21: (EM) log likelihood = -27858.553
Iteration 22: (EM) log likelihood = -27859.097
Iteration 23: (EM) log likelihood = -27859.79
Iteration 24: (EM) log likelihood = -27860.439
Iteration 25: (EM) log likelihood = -27860.981
Iteration 26: (EM) log likelihood = -27861.43
Iteration 27: (EM) log likelihood = -27861.778
Iteration 28: (EM) log likelihood = -27862.048
Iteration 29: (EM) log likelihood = -27862.246
Iteration 30: (EM) log likelihood = -27862.394
Iteration 31: (EM) log likelihood = -27862.51
Iteration 32: (EM) log likelihood = -27862.592
Iteration 33: (EM) log likelihood = -27862.654
Iteration 34: (EM) log likelihood = -27862.7
Iteration 35: (EM) log likelihood = -27862.736
Iteration 36: (EM) log likelihood = -27862.761
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.3335
Iteration 1: (class) log likelihood = -2626.3335
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29161.302
Iteration 1: (outcome) log likelihood = -29161.302
Refining starting values:
Iteration 0: (EM) log likelihood = -31787.19
Iteration 1: (EM) log likelihood = -31781.479
Iteration 2: (EM) log likelihood = -31765.911
Iteration 3: (EM) log likelihood = -31725.637
Iteration 4: (EM) log likelihood = -31613.27
Iteration 5: (EM) log likelihood = -31309.374
Iteration 6: (EM) log likelihood = -30717.886
Iteration 7: (EM) log likelihood = -30072.928
Iteration 8: (EM) log likelihood = -29616.166
Iteration 9: (EM) log likelihood = -29289.785
Iteration 10: (EM) log likelihood = -29009.689
Iteration 11: (EM) log likelihood = -28751.437
Iteration 12: (EM) log likelihood = -28507.948
Iteration 13: (EM) log likelihood = -28276.627
Iteration 14: (EM) log likelihood = -28084.381
Iteration 15: (EM) log likelihood = -27964.718
Iteration 16: (EM) log likelihood = -27903.374
Iteration 17: (EM) log likelihood = -27875.497
Iteration 18: (EM) log likelihood = -27864.075
Iteration 19: (EM) log likelihood = -27859.807
Iteration 20: (EM) log likelihood = -27858.335
Iteration 21: (EM) log likelihood = -27857.967
Iteration 22: (EM) log likelihood = -27858.166
Iteration 23: (EM) log likelihood = -27858.678
Iteration 24: (EM) log likelihood = -27859.314
Iteration 25: (EM) log likelihood = -27859.961
Iteration 26: (EM) log likelihood = -27860.574
Iteration 27: (EM) log likelihood = -27861.091
Iteration 28: (EM) log likelihood = -27861.511
Iteration 29: (EM) log likelihood = -27861.837
Iteration 30: (EM) log likelihood = -27862.075
Iteration 31: (EM) log likelihood = -27862.271
Iteration 32: (EM) log likelihood = -27862.402
Iteration 33: (EM) log likelihood = -27862.516
Iteration 34: (EM) log likelihood = -27862.601
Iteration 35: (EM) log likelihood = -27862.659
Iteration 36: (EM) log likelihood = -27862.706
Iteration 37: (EM) log likelihood = -27862.739
Iteration 38: (EM) log likelihood = -27862.764
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.3345
Iteration 1: (class) log likelihood = -2626.3345
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29169.496
Iteration 1: (outcome) log likelihood = -29169.496
Refining starting values:
Iteration 0: (EM) log likelihood = -31794.12
Iteration 1: (EM) log likelihood = -31786.132
Iteration 2: (EM) log likelihood = -31756.91
Iteration 3: (EM) log likelihood = -31651.325
Iteration 4: (EM) log likelihood = -31327.508
Iteration 5: (EM) log likelihood = -30678.149
Iteration 6: (EM) log likelihood = -29928.914
Iteration 7: (EM) log likelihood = -29314.87
Iteration 8: (EM) log likelihood = -28854.751
Iteration 9: (EM) log likelihood = -28522.847
Iteration 10: (EM) log likelihood = -28267.884
Iteration 11: (EM) log likelihood = -28070.437
Iteration 12: (EM) log likelihood = -27951.888
Iteration 13: (EM) log likelihood = -27895.832
Iteration 14: (EM) log likelihood = -27872.381
Iteration 15: (EM) log likelihood = -27863.151
Iteration 16: (EM) log likelihood = -27859.805
Iteration 17: (EM) log likelihood = -27858.627
Iteration 18: (EM) log likelihood = -27858.497
Iteration 19: (EM) log likelihood = -27858.877
Iteration 20: (EM) log likelihood = -27859.385
Iteration 21: (EM) log likelihood = -27860.072
Iteration 22: (EM) log likelihood = -27860.719
Iteration 23: (EM) log likelihood = -27861.172
Iteration 24: (EM) log likelihood = -27861.561
Iteration 25: (EM) log likelihood = -27861.882
Iteration 26: (EM) log likelihood = -27862.13
Iteration 27: (EM) log likelihood = -27862.314
Iteration 28: (EM) log likelihood = -27862.437
Iteration 29: (EM) log likelihood = -27862.539
Iteration 30: (EM) log likelihood = -27862.612
Iteration 31: (EM) log likelihood = -27862.672
Iteration 32: (EM) log likelihood = -27862.713
Iteration 33: (EM) log likelihood = -27862.743
Iteration 34: (EM) log likelihood = -27862.766
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.0907
Iteration 1: (class) log likelihood = -2626.0907
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29166.579
Iteration 1: (outcome) log likelihood = -29166.579
Refining starting values:
Iteration 0: (EM) log likelihood = -31790.163
Iteration 1: (EM) log likelihood = -31776.58
Iteration 2: (EM) log likelihood = -31720.834
Iteration 3: (EM) log likelihood = -31516.91
Iteration 4: (EM) log likelihood = -30981.34
Iteration 5: (EM) log likelihood = -30187.11
Iteration 6: (EM) log likelihood = -29474.947
Iteration 7: (EM) log likelihood = -28959.714
Iteration 8: (EM) log likelihood = -28596.722
Iteration 9: (EM) log likelihood = -28319.984
Iteration 10: (EM) log likelihood = -28106.513
Iteration 11: (EM) log likelihood = -27972.7
Iteration 12: (EM) log likelihood = -27905.886
Iteration 13: (EM) log likelihood = -27876.717
Iteration 14: (EM) log likelihood = -27864.888
Iteration 15: (EM) log likelihood = -27860.324
Iteration 16: (EM) log likelihood = -27858.711
Iteration 17: (EM) log likelihood = -27858.433
Iteration 18: (EM) log likelihood = -27858.722
Iteration 19: (EM) log likelihood = -27859.302
Iteration 20: (EM) log likelihood = -27859.92
Iteration 21: (EM) log likelihood = -27860.521
Iteration 22: (EM) log likelihood = -27861.043
Iteration 23: (EM) log likelihood = -27861.473
Iteration 24: (EM) log likelihood = -27861.811
Iteration 25: (EM) log likelihood = -27862.067
Iteration 26: (EM) log likelihood = -27862.242
Iteration 27: (EM) log likelihood = -27862.402
Iteration 28: (EM) log likelihood = -27862.528
Iteration 29: (EM) log likelihood = -27862.601
Iteration 30: (EM) log likelihood = -27862.666
Iteration 31: (EM) log likelihood = -27862.707
Iteration 32: (EM) log likelihood = -27862.741
Iteration 33: (EM) log likelihood = -27862.765
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.0907
Iteration 1: (class) log likelihood = -2626.0907
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29157.971
Iteration 1: (outcome) log likelihood = -29157.971 (backed up)
Refining starting values:
Iteration 0: (EM) log likelihood = -31780.21
Iteration 1: (EM) log likelihood = -31770.401
Iteration 2: (EM) log likelihood = -31745.307
Iteration 3: (EM) log likelihood = -31671.272
Iteration 4: (EM) log likelihood = -31448.891
Iteration 5: (EM) log likelihood = -30938.05
Iteration 6: (EM) log likelihood = -30242.072
Iteration 7: (EM) log likelihood = -29609.162
Iteration 8: (EM) log likelihood = -29096.709
Iteration 9: (EM) log likelihood = -28703.042
Iteration 10: (EM) log likelihood = -28410.229
Iteration 11: (EM) log likelihood = -28174.813
Iteration 12: (EM) log likelihood = -28009.244
Iteration 13: (EM) log likelihood = -27921.61
Iteration 14: (EM) log likelihood = -27883.104
Iteration 15: (EM) log likelihood = -27867.503
Iteration 16: (EM) log likelihood = -27861.442
Iteration 17: (EM) log likelihood = -27859.378
Iteration 18: (EM) log likelihood = -27858.903
Iteration 19: (EM) log likelihood = -27859.109
Iteration 20: (EM) log likelihood = -27859.629
Iteration 21: (EM) log likelihood = -27860.226
Iteration 22: (EM) log likelihood = -27860.771
Iteration 23: (EM) log likelihood = -27861.253
Iteration 24: (EM) log likelihood = -27861.642
Iteration 25: (EM) log likelihood = -27861.969
Iteration 26: (EM) log likelihood = -27862.191
Iteration 27: (EM) log likelihood = -27862.344
Iteration 28: (EM) log likelihood = -27862.469
Iteration 29: (EM) log likelihood = -27862.565
Iteration 30: (EM) log likelihood = -27862.632
Iteration 31: (EM) log likelihood = -27862.684
Iteration 32: (EM) log likelihood = -27862.721
Iteration 33: (EM) log likelihood = -27862.75
Iteration 34: (EM) log likelihood = -27862.771
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.8109
Iteration 1: (class) log likelihood = -2625.8109
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29164.206
Iteration 1: (outcome) log likelihood = -29164.206
Refining starting values:
Iteration 0: (EM) log likelihood = -31784.405
Iteration 1: (EM) log likelihood = -31764.985
Iteration 2: (EM) log likelihood = -31695.293
Iteration 3: (EM) log likelihood = -31456.613
Iteration 4: (EM) log likelihood = -30867.18
Iteration 5: (EM) log likelihood = -30078.137
Iteration 6: (EM) log likelihood = -29447.179
Iteration 7: (EM) log likelihood = -29001.427
Iteration 8: (EM) log likelihood = -28662.64
Iteration 9: (EM) log likelihood = -28384.261
Iteration 10: (EM) log likelihood = -28160.362
Iteration 11: (EM) log likelihood = -28009.121
Iteration 12: (EM) log likelihood = -27925.437
Iteration 13: (EM) log likelihood = -27885.436
Iteration 14: (EM) log likelihood = -27868.233
Iteration 15: (EM) log likelihood = -27861.453
Iteration 16: (EM) log likelihood = -27859.03
Iteration 17: (EM) log likelihood = -27858.21
Iteration 18: (EM) log likelihood = -27858.234
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2623.6356
Iteration 1: (class) log likelihood = -2623.6356
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29166.695
Iteration 1: (outcome) log likelihood = -29166.695
Refining starting values:
Iteration 0: (EM) log likelihood = -31787.179
Iteration 1: (EM) log likelihood = -31778.989
Iteration 2: (EM) log likelihood = -31756.125
Iteration 3: (EM) log likelihood = -31683.566
Iteration 4: (EM) log likelihood = -31453.493
Iteration 5: (EM) log likelihood = -30908.11
Iteration 6: (EM) log likelihood = -30146.915
Iteration 7: (EM) log likelihood = -29427.666
Iteration 8: (EM) log likelihood = -28859.875
Iteration 9: (EM) log likelihood = -28469.332
Iteration 10: (EM) log likelihood = -28195.845
Iteration 11: (EM) log likelihood = -28015.952
Iteration 12: (EM) log likelihood = -27923.254
Iteration 13: (EM) log likelihood = -27883.446
Iteration 14: (EM) log likelihood = -27867.598
Iteration 15: (EM) log likelihood = -27861.503
Iteration 16: (EM) log likelihood = -27859.346
Iteration 17: (EM) log likelihood = -27858.889
Iteration 18: (EM) log likelihood = -27859.126
Iteration 19: (EM) log likelihood = -27859.648
Iteration 20: (EM) log likelihood = -27860.282
Iteration 21: (EM) log likelihood = -27860.814
Iteration 22: (EM) log likelihood = -27861.271
Iteration 23: (EM) log likelihood = -27861.62
Iteration 24: (EM) log likelihood = -27861.923
Iteration 25: (EM) log likelihood = -27862.167
Iteration 26: (EM) log likelihood = -27862.339
Iteration 27: (EM) log likelihood = -27862.472
Iteration 28: (EM) log likelihood = -27862.562
Iteration 29: (EM) log likelihood = -27862.633
Iteration 30: (EM) log likelihood = -27862.69
Iteration 31: (EM) log likelihood = -27862.721
Iteration 32: (EM) log likelihood = -27862.749
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.0674
Iteration 1: (class) log likelihood = -2626.0674
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29169.044
Iteration 1: (outcome) log likelihood = -29169.044
Refining starting values:
Iteration 0: (EM) log likelihood = -31793.115
Iteration 1: (EM) log likelihood = -31784.948
Iteration 2: (EM) log likelihood = -31754.787
Iteration 3: (EM) log likelihood = -31645.277
Iteration 4: (EM) log likelihood = -31307.914
Iteration 5: (EM) log likelihood = -30635.226
Iteration 6: (EM) log likelihood = -29866.928
Iteration 7: (EM) log likelihood = -29239.672
Iteration 8: (EM) log likelihood = -28782.096
Iteration 9: (EM) log likelihood = -28455.745
Iteration 10: (EM) log likelihood = -28205.068
Iteration 11: (EM) log likelihood = -28027.837
Iteration 12: (EM) log likelihood = -27930.802
Iteration 13: (EM) log likelihood = -27886.94
Iteration 14: (EM) log likelihood = -27868.914
Iteration 15: (EM) log likelihood = -27861.826
Iteration 16: (EM) log likelihood = -27859.26
Iteration 17: (EM) log likelihood = -27858.585
Iteration 18: (EM) log likelihood = -27858.688
Iteration 19: (EM) log likelihood = -27859.141
Iteration 20: (EM) log likelihood = -27859.739
Iteration 21: (EM) log likelihood = -27860.361
Iteration 22: (EM) log likelihood = -27860.916
Iteration 23: (EM) log likelihood = -27861.305
Iteration 24: (EM) log likelihood = -27861.689
Iteration 25: (EM) log likelihood = -27861.941
Iteration 26: (EM) log likelihood = -27862.174
Iteration 27: (EM) log likelihood = -27862.368
Iteration 28: (EM) log likelihood = -27862.48
Iteration 29: (EM) log likelihood = -27862.579
Iteration 30: (EM) log likelihood = -27862.641
Iteration 31: (EM) log likelihood = -27862.695
Iteration 32: (EM) log likelihood = -27862.725
Iteration 33: (EM) log likelihood = -27862.755
Iteration 34: (EM) log likelihood = -27862.772
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.3282
Iteration 1: (class) log likelihood = -2626.3282
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29160.251
Iteration 1: (outcome) log likelihood = -29160.251
Refining starting values:
Iteration 0: (EM) log likelihood = -31770.769
Iteration 1: (EM) log likelihood = -31698.447
Iteration 2: (EM) log likelihood = -31431.164
Iteration 3: (EM) log likelihood = -30785.261
Iteration 4: (EM) log likelihood = -29976.483
Iteration 5: (EM) log likelihood = -29358.045
Iteration 6: (EM) log likelihood = -28933.58
Iteration 7: (EM) log likelihood = -28614.566
Iteration 8: (EM) log likelihood = -28350.116
Iteration 9: (EM) log likelihood = -28139.255
Iteration 10: (EM) log likelihood = -27998.372
Iteration 11: (EM) log likelihood = -27920.566
Iteration 12: (EM) log likelihood = -27883.344
Iteration 13: (EM) log likelihood = -27867.372
Iteration 14: (EM) log likelihood = -27861.111
Iteration 15: (EM) log likelihood = -27858.822
Iteration 16: (EM) log likelihood = -27858.099
Iteration 17: (EM) log likelihood = -27858.18
Iteration 18: (EM) log likelihood = -27858.612
Iteration 19: (EM) log likelihood = -27859.174
Iteration 20: (EM) log likelihood = -27859.845
Iteration 21: (EM) log likelihood = -27860.469
Iteration 22: (EM) log likelihood = -27861.011
Iteration 23: (EM) log likelihood = -27861.42
Iteration 24: (EM) log likelihood = -27861.727
Iteration 25: (EM) log likelihood = -27862.015
Iteration 26: (EM) log likelihood = -27862.248
Iteration 27: (EM) log likelihood = -27862.389
Iteration 28: (EM) log likelihood = -27862.502
Iteration 29: (EM) log likelihood = -27862.595
Iteration 30: (EM) log likelihood = -27862.668
Iteration 31: (EM) log likelihood = -27862.706
Iteration 32: (EM) log likelihood = -27862.74
Iteration 33: (EM) log likelihood = -27862.763
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.3358
Iteration 1: (class) log likelihood = -2625.3358
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29164.736
Iteration 1: (outcome) log likelihood = -29164.736
Refining starting values:
Iteration 0: (EM) log likelihood = -31785.232
Iteration 1: (EM) log likelihood = -31772.804
Iteration 2: (EM) log likelihood = -31739.291
Iteration 3: (EM) log likelihood = -31637.765
Iteration 4: (EM) log likelihood = -31342.427
Iteration 5: (EM) log likelihood = -30734.64
Iteration 6: (EM) log likelihood = -30021.669
Iteration 7: (EM) log likelihood = -29463.839
Iteration 8: (EM) log likelihood = -29057.866
Iteration 9: (EM) log likelihood = -28747.323
Iteration 10: (EM) log likelihood = -28487.786
Iteration 11: (EM) log likelihood = -28248.59
Iteration 12: (EM) log likelihood = -28057.419
Iteration 13: (EM) log likelihood = -27946.404
Iteration 14: (EM) log likelihood = -27893.698
Iteration 15: (EM) log likelihood = -27871.328
Iteration 16: (EM) log likelihood = -27862.568
Iteration 17: (EM) log likelihood = -27859.343
Iteration 18: (EM) log likelihood = -27858.269
Iteration 19: (EM) log likelihood = -27858.119
Iteration 20: (EM) log likelihood = -27858.485
Iteration 21: (EM) log likelihood = -27859.055
Iteration 22: (EM) log likelihood = -27859.709
Iteration 23: (EM) log likelihood = -27860.347
Iteration 24: (EM) log likelihood = -27860.885
Iteration 25: (EM) log likelihood = -27861.314
Iteration 26: (EM) log likelihood = -27861.712
Iteration 27: (EM) log likelihood = -27861.988
Iteration 28: (EM) log likelihood = -27862.219
Iteration 29: (EM) log likelihood = -27862.342
Iteration 30: (EM) log likelihood = -27862.474
Iteration 31: (EM) log likelihood = -27862.577
Iteration 32: (EM) log likelihood = -27862.639
Iteration 33: (EM) log likelihood = -27862.691
Iteration 34: (EM) log likelihood = -27862.726
Iteration 35: (EM) log likelihood = -27862.755
Iteration 36: (EM) log likelihood = -27862.775
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.287
Iteration 1: (class) log likelihood = -2626.287
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29165.483
Iteration 1: (outcome) log likelihood = -29165.483
Refining starting values:
Iteration 0: (EM) log likelihood = -31776.451
Iteration 1: (EM) log likelihood = -31712.802
Iteration 2: (EM) log likelihood = -31484.437
Iteration 3: (EM) log likelihood = -30919.172
Iteration 4: (EM) log likelihood = -30135.026
Iteration 5: (EM) log likelihood = -29441.205
Iteration 6: (EM) log likelihood = -28931.107
Iteration 7: (EM) log likelihood = -28573.984
Iteration 8: (EM) log likelihood = -28304.525
Iteration 9: (EM) log likelihood = -28095.967
Iteration 10: (EM) log likelihood = -27966.313
Iteration 11: (EM) log likelihood = -27902.586
Iteration 12: (EM) log likelihood = -27875.205
Iteration 13: (EM) log likelihood = -27864.253
Iteration 14: (EM) log likelihood = -27860.077
Iteration 15: (EM) log likelihood = -27858.64
Iteration 16: (EM) log likelihood = -27858.401
Iteration 17: (EM) log likelihood = -27858.726
Iteration 18: (EM) log likelihood = -27859.313
Iteration 19: (EM) log likelihood = -27859.959
Iteration 20: (EM) log likelihood = -27860.546
Iteration 21: (EM) log likelihood = -27861.065
Iteration 22: (EM) log likelihood = -27861.494
Iteration 23: (EM) log likelihood = -27861.828
Iteration 24: (EM) log likelihood = -27862.087
Iteration 25: (EM) log likelihood = -27862.276
Iteration 26: (EM) log likelihood = -27862.409
Iteration 27: (EM) log likelihood = -27862.52
Iteration 28: (EM) log likelihood = -27862.6
Iteration 29: (EM) log likelihood = -27862.656
Iteration 30: (EM) log likelihood = -27862.703
Iteration 31: (EM) log likelihood = -27862.736
Iteration 32: (EM) log likelihood = -27862.762
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.134
Iteration 1: (class) log likelihood = -2626.134
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29163.162
Iteration 1: (outcome) log likelihood = -29163.162
Refining starting values:
Iteration 0: (EM) log likelihood = -31782.04
Iteration 1: (EM) log likelihood = -31745.746
Iteration 2: (EM) log likelihood = -31600.439
Iteration 3: (EM) log likelihood = -31161.318
Iteration 4: (EM) log likelihood = -30400.304
Iteration 5: (EM) log likelihood = -29659.045
Iteration 6: (EM) log likelihood = -29111.198
Iteration 7: (EM) log likelihood = -28721.854
Iteration 8: (EM) log likelihood = -28424.894
Iteration 9: (EM) log likelihood = -28188.015
Iteration 10: (EM) log likelihood = -28023.693
Iteration 11: (EM) log likelihood = -27931.742
Iteration 12: (EM) log likelihood = -27887.996
Iteration 13: (EM) log likelihood = -27869.279
Iteration 14: (EM) log likelihood = -27861.883
Iteration 15: (EM) log likelihood = -27859.136
Iteration 16: (EM) log likelihood = -27858.33
Iteration 17: (EM) log likelihood = -27858.282
Iteration 18: (EM) log likelihood = -27858.669
Iteration 19: (EM) log likelihood = -27859.268
Iteration 20: (EM) log likelihood = -27859.917
Iteration 21: (EM) log likelihood = -27860.537
Iteration 22: (EM) log likelihood = -27861.083
Iteration 23: (EM) log likelihood = -27861.507
Iteration 24: (EM) log likelihood = -27861.84
Iteration 25: (EM) log likelihood = -27862.094
Iteration 26: (EM) log likelihood = -27862.29
Iteration 27: (EM) log likelihood = -27862.435
Iteration 28: (EM) log likelihood = -27862.539
Iteration 29: (EM) log likelihood = -27862.614
Iteration 30: (EM) log likelihood = -27862.673
Iteration 31: (EM) log likelihood = -27862.715
Iteration 32: (EM) log likelihood = -27862.746
Iteration 33: (EM) log likelihood = -27862.769
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.7771
Iteration 1: (class) log likelihood = -2625.7771
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29165.099
Iteration 1: (outcome) log likelihood = -29165.099
Refining starting values:
Iteration 0: (EM) log likelihood = -31790.628
Iteration 1: (EM) log likelihood = -31786.497
Iteration 2: (EM) log likelihood = -31774.082
Iteration 3: (EM) log likelihood = -31735.757
Iteration 4: (EM) log likelihood = -31612.856
Iteration 5: (EM) log likelihood = -31267.903
Iteration 6: (EM) log likelihood = -30626.323
Iteration 7: (EM) log likelihood = -29898.724
Iteration 8: (EM) log likelihood = -29249.957
Iteration 9: (EM) log likelihood = -28750.851
Iteration 10: (EM) log likelihood = -28403.337
Iteration 11: (EM) log likelihood = -28153.246
Iteration 12: (EM) log likelihood = -27993.884
Iteration 13: (EM) log likelihood = -27913.895
Iteration 14: (EM) log likelihood = -27879.652
Iteration 15: (EM) log likelihood = -27866.027
Iteration 16: (EM) log likelihood = -27860.862
Iteration 17: (EM) log likelihood = -27859.003
Iteration 18: (EM) log likelihood = -27858.636
Iteration 19: (EM) log likelihood = -27858.911
Iteration 20: (EM) log likelihood = -27859.467
Iteration 21: (EM) log likelihood = -27860.093
Iteration 22: (EM) log likelihood = -27860.693
Iteration 23: (EM) log likelihood = -27861.207
Iteration 24: (EM) log likelihood = -27861.594
Iteration 25: (EM) log likelihood = -27861.883
Iteration 26: (EM) log likelihood = -27862.122
Iteration 27: (EM) log likelihood = -27862.308
Iteration 28: (EM) log likelihood = -27862.446
Iteration 29: (EM) log likelihood = -27862.543
Iteration 30: (EM) log likelihood = -27862.627
Iteration 31: (EM) log likelihood = -27862.683
Iteration 32: (EM) log likelihood = -27862.72
Iteration 33: (EM) log likelihood = -27862.749
Iteration 34: (EM) log likelihood = -27862.771
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.1436
Iteration 1: (class) log likelihood = -2625.1436
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29162.527
Iteration 1: (outcome) log likelihood = -29162.527
Refining starting values:
Iteration 0: (EM) log likelihood = -31788.298
Iteration 1: (EM) log likelihood = -31786.507
Iteration 2: (EM) log likelihood = -31781.57
Iteration 3: (EM) log likelihood = -31771.196
Iteration 4: (EM) log likelihood = -31750.184
Iteration 5: (EM) log likelihood = -31706.624
Iteration 6: (EM) log likelihood = -31612.969
Iteration 7: (EM) log likelihood = -31412.753
Iteration 8: (EM) log likelihood = -31034.629
Iteration 9: (EM) log likelihood = -30500.059
Iteration 10: (EM) log likelihood = -29943.8
Iteration 11: (EM) log likelihood = -29394.671
Iteration 12: (EM) log likelihood = -28888.544
Iteration 13: (EM) log likelihood = -28508.028
Iteration 14: (EM) log likelihood = -28238.838
Iteration 15: (EM) log likelihood = -28052.546
Iteration 16: (EM) log likelihood = -27944.601
Iteration 17: (EM) log likelihood = -27892.988
Iteration 18: (EM) log likelihood = -27871.115
Iteration 19: (EM) log likelihood = -27862.551
Iteration 20: (EM) log likelihood = -27859.381
Iteration 21: (EM) log likelihood = -27858.337
Iteration 22: (EM) log likelihood = -27858.266
Iteration 23: (EM) log likelihood = -27858.637
Iteration 24: (EM) log likelihood = -27859.252
Iteration 25: (EM) log likelihood = -27859.901
Iteration 26: (EM) log likelihood = -27860.527
Iteration 27: (EM) log likelihood = -27861.055
Iteration 28: (EM) log likelihood = -27861.411
Iteration 29: (EM) log likelihood = -27861.766
Iteration 30: (EM) log likelihood = -27862.048
Iteration 31: (EM) log likelihood = -27862.213
Iteration 32: (EM) log likelihood = -27862.377
Iteration 33: (EM) log likelihood = -27862.506
Iteration 34: (EM) log likelihood = -27862.587
Iteration 35: (EM) log likelihood = -27862.651
Iteration 36: (EM) log likelihood = -27862.696
Iteration 37: (EM) log likelihood = -27862.734
Iteration 38: (EM) log likelihood = -27862.759
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2624.2059
Iteration 1: (class) log likelihood = -2624.2059
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29168.933
Iteration 1: (outcome) log likelihood = -29168.933
Refining starting values:
Iteration 0: (EM) log likelihood = -31791.544
Iteration 1: (EM) log likelihood = -31782.753
Iteration 2: (EM) log likelihood = -31745.646
Iteration 3: (EM) log likelihood = -31599.166
Iteration 4: (EM) log likelihood = -31149.736
Iteration 5: (EM) log likelihood = -30359.447
Iteration 6: (EM) log likelihood = -29600.512
Iteration 7: (EM) log likelihood = -29054.545
Iteration 8: (EM) log likelihood = -28672.71
Iteration 9: (EM) log likelihood = -28383.022
Iteration 10: (EM) log likelihood = -28155.951
Iteration 11: (EM) log likelihood = -28004.056
Iteration 12: (EM) log likelihood = -27922.07
Iteration 13: (EM) log likelihood = -27884.031
Iteration 14: (EM) log likelihood = -27867.921
Iteration 15: (EM) log likelihood = -27861.5
Iteration 16: (EM) log likelihood = -27859.17
Iteration 17: (EM) log likelihood = -27858.497
Iteration 18: (EM) log likelihood = -27858.586
Iteration 19: (EM) log likelihood = -27859.083
Iteration 20: (EM) log likelihood = -27859.709
Iteration 21: (EM) log likelihood = -27860.332
Iteration 22: (EM) log likelihood = -27860.886
Iteration 23: (EM) log likelihood = -27861.4
Iteration 24: (EM) log likelihood = -27861.76
Iteration 25: (EM) log likelihood = -27862.056
Iteration 26: (EM) log likelihood = -27862.257
Iteration 27: (EM) log likelihood = -27862.405
Iteration 28: (EM) log likelihood = -27862.517
Iteration 29: (EM) log likelihood = -27862.603
Iteration 30: (EM) log likelihood = -27862.656
Iteration 31: (EM) log likelihood = -27862.703
Iteration 32: (EM) log likelihood = -27862.736
Iteration 33: (EM) log likelihood = -27862.762
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.305
Iteration 1: (class) log likelihood = -2626.305
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29165.929
Iteration 1: (outcome) log likelihood = -29165.929
Refining starting values:
Iteration 0: (EM) log likelihood = -31789.579
Iteration 1: (EM) log likelihood = -31783.47
Iteration 2: (EM) log likelihood = -31770.378
Iteration 3: (EM) log likelihood = -31743.304
Iteration 4: (EM) log likelihood = -31687.883
Iteration 5: (EM) log likelihood = -31571.043
Iteration 6: (EM) log likelihood = -31319.624
Iteration 7: (EM) log likelihood = -30835.344
Iteration 8: (EM) log likelihood = -30201.796
Iteration 9: (EM) log likelihood = -29692.473
Iteration 10: (EM) log likelihood = -29344.3
Iteration 11: (EM) log likelihood = -29073.819
Iteration 12: (EM) log likelihood = -28836.682
Iteration 13: (EM) log likelihood = -28613.501
Iteration 14: (EM) log likelihood = -28398.562
Iteration 15: (EM) log likelihood = -28197.537
Iteration 16: (EM) log likelihood = -28041.332
Iteration 17: (EM) log likelihood = -27944.695
Iteration 18: (EM) log likelihood = -27894.254
Iteration 19: (EM) log likelihood = -27871.272
Iteration 20: (EM) log likelihood = -27862.088
Iteration 21: (EM) log likelihood = -27858.887
Iteration 22: (EM) log likelihood = -27857.916
Iteration 23: (EM) log likelihood = -27857.738
Iteration 24: (EM) log likelihood = -27857.978
Iteration 25: (EM) log likelihood = -27858.492
Iteration 26: (EM) log likelihood = -27859.101
Iteration 27: (EM) log likelihood = -27859.776
Iteration 28: (EM) log likelihood = -27860.413
Iteration 29: (EM) log likelihood = -27860.965
Iteration 30: (EM) log likelihood = -27861.415
Iteration 31: (EM) log likelihood = -27861.771
Iteration 32: (EM) log likelihood = -27862.049
Iteration 33: (EM) log likelihood = -27862.247
Iteration 34: (EM) log likelihood = -27862.401
Iteration 35: (EM) log likelihood = -27862.51
Iteration 36: (EM) log likelihood = -27862.595
Iteration 37: (EM) log likelihood = -27862.658
Iteration 38: (EM) log likelihood = -27862.705
Iteration 39: (EM) log likelihood = -27862.739
Iteration 40: (EM) log likelihood = -27862.765
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.3282
Iteration 1: (class) log likelihood = -2626.3282
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29165.411
Iteration 1: (outcome) log likelihood = -29165.411
Refining starting values:
Iteration 0: (EM) log likelihood = -31782.753
Iteration 1: (EM) log likelihood = -31745.466
Iteration 2: (EM) log likelihood = -31606.626
Iteration 3: (EM) log likelihood = -31195.201
Iteration 4: (EM) log likelihood = -30459.359
Iteration 5: (EM) log likelihood = -29707.178
Iteration 6: (EM) log likelihood = -29132.345
Iteration 7: (EM) log likelihood = -28727.561
Iteration 8: (EM) log likelihood = -28429.395
Iteration 9: (EM) log likelihood = -28193.181
Iteration 10: (EM) log likelihood = -28026.705
Iteration 11: (EM) log likelihood = -27932.914
Iteration 12: (EM) log likelihood = -27888.503
Iteration 13: (EM) log likelihood = -27869.584
Iteration 14: (EM) log likelihood = -27862.072
Iteration 15: (EM) log likelihood = -27859.393
Iteration 16: (EM) log likelihood = -27858.472
Iteration 17: (EM) log likelihood = -27858.493
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.3124
Iteration 1: (class) log likelihood = -2626.3124
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29160.791
Iteration 1: (outcome) log likelihood = -29160.791
Refining starting values:
Iteration 0: (EM) log likelihood = -31777.222
Iteration 1: (EM) log likelihood = -31734.174
Iteration 2: (EM) log likelihood = -31572.291
Iteration 3: (EM) log likelihood = -31112.064
Iteration 4: (EM) log likelihood = -30366.936
Iteration 5: (EM) log likelihood = -29693.926
Iteration 6: (EM) log likelihood = -29208.139
Iteration 7: (EM) log likelihood = -28841.707
Iteration 8: (EM) log likelihood = -28545.829
Iteration 9: (EM) log likelihood = -28289.517
Iteration 10: (EM) log likelihood = -28088.792
Iteration 11: (EM) log likelihood = -27964.939
Iteration 12: (EM) log likelihood = -27902.873
Iteration 13: (EM) log likelihood = -27875.496
Iteration 14: (EM) log likelihood = -27864.36
Iteration 15: (EM) log likelihood = -27860.083
Iteration 16: (EM) log likelihood = -27858.575
Iteration 17: (EM) log likelihood = -27858.261
Iteration 18: (EM) log likelihood = -27858.564
Iteration 19: (EM) log likelihood = -27859.132
Iteration 20: (EM) log likelihood = -27859.77
Iteration 21: (EM) log likelihood = -27860.384
Iteration 22: (EM) log likelihood = -27860.923
Iteration 23: (EM) log likelihood = -27861.384
Iteration 24: (EM) log likelihood = -27861.726
Iteration 25: (EM) log likelihood = -27862.008
Iteration 26: (EM) log likelihood = -27862.217
Iteration 27: (EM) log likelihood = -27862.385
Iteration 28: (EM) log likelihood = -27862.506
Iteration 29: (EM) log likelihood = -27862.594
Iteration 30: (EM) log likelihood = -27862.666
Iteration 31: (EM) log likelihood = -27862.704
Iteration 32: (EM) log likelihood = -27862.74
Iteration 33: (EM) log likelihood = -27862.762
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.2237
Iteration 1: (class) log likelihood = -2626.2237
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29165.521
Iteration 1: (outcome) log likelihood = -29165.521
Refining starting values:
Iteration 0: (EM) log likelihood = -31789.241
Iteration 1: (EM) log likelihood = -31779.231
Iteration 2: (EM) log likelihood = -31744.602
Iteration 3: (EM) log likelihood = -31624.324
Iteration 4: (EM) log likelihood = -31270.988
Iteration 5: (EM) log likelihood = -30597.673
Iteration 6: (EM) log likelihood = -29835.875
Iteration 7: (EM) log likelihood = -29201.92
Iteration 8: (EM) log likelihood = -28742.412
Iteration 9: (EM) log likelihood = -28421.558
Iteration 10: (EM) log likelihood = -28177.712
Iteration 11: (EM) log likelihood = -28010.743
Iteration 12: (EM) log likelihood = -27922.362
Iteration 13: (EM) log likelihood = -27883.223
Iteration 14: (EM) log likelihood = -27867.347
Iteration 15: (EM) log likelihood = -27861.222
Iteration 16: (EM) log likelihood = -27858.987
Iteration 17: (EM) log likelihood = -27858.379
Iteration 18: (EM) log likelihood = -27858.552
Iteration 19: (EM) log likelihood = -27859.033
Iteration 20: (EM) log likelihood = -27859.691
Iteration 21: (EM) log likelihood = -27860.329
Iteration 22: (EM) log likelihood = -27860.901
Iteration 23: (EM) log likelihood = -27861.362
Iteration 24: (EM) log likelihood = -27861.688
Iteration 25: (EM) log likelihood = -27861.969
Iteration 26: (EM) log likelihood = -27862.196
Iteration 27: (EM) log likelihood = -27862.361
Iteration 28: (EM) log likelihood = -27862.489
Iteration 29: (EM) log likelihood = -27862.575
Iteration 30: (EM) log likelihood = -27862.642
Iteration 31: (EM) log likelihood = -27862.69
Iteration 32: (EM) log likelihood = -27862.729
Iteration 33: (EM) log likelihood = -27862.755
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.0907
Iteration 1: (class) log likelihood = -2626.0907
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29169.15
Iteration 1: (outcome) log likelihood = -29169.15
Refining starting values:
Iteration 0: (EM) log likelihood = -31793.354
Iteration 1: (EM) log likelihood = -31783.032
Iteration 2: (EM) log likelihood = -31740.7
Iteration 3: (EM) log likelihood = -31580.911
Iteration 4: (EM) log likelihood = -31118.905
Iteration 5: (EM) log likelihood = -30352.877
Iteration 6: (EM) log likelihood = -29642.358
Iteration 7: (EM) log likelihood = -29127.961
Iteration 8: (EM) log likelihood = -28756.108
Iteration 9: (EM) log likelihood = -28467.436
Iteration 10: (EM) log likelihood = -28229.189
Iteration 11: (EM) log likelihood = -28052.738
Iteration 12: (EM) log likelihood = -27947.552
Iteration 13: (EM) log likelihood = -27895.398
Iteration 14: (EM) log likelihood = -27872.453
Iteration 15: (EM) log likelihood = -27863.167
Iteration 16: (EM) log likelihood = -27859.629
Iteration 17: (EM) log likelihood = -27858.446
Iteration 18: (EM) log likelihood = -27858.278
Iteration 19: (EM) log likelihood = -27858.632
Iteration 20: (EM) log likelihood = -27859.253
Iteration 21: (EM) log likelihood = -27859.86
Iteration 22: (EM) log likelihood = -27860.486
Iteration 23: (EM) log likelihood = -27861.014
Iteration 24: (EM) log likelihood = -27861.429
Iteration 25: (EM) log likelihood = -27861.777
Iteration 26: (EM) log likelihood = -27862.05
Iteration 27: (EM) log likelihood = -27862.255
Iteration 28: (EM) log likelihood = -27862.41
Iteration 29: (EM) log likelihood = -27862.516
Iteration 30: (EM) log likelihood = -27862.602
Iteration 31: (EM) log likelihood = -27862.661
Iteration 32: (EM) log likelihood = -27862.707
Iteration 33: (EM) log likelihood = -27862.74
Iteration 34: (EM) log likelihood = -27862.764
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.6314
Iteration 1: (class) log likelihood = -2625.6314
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29158.449
Iteration 1: (outcome) log likelihood = -29158.449
Refining starting values:
Iteration 0: (EM) log likelihood = -31778.345
Iteration 1: (EM) log likelihood = -31752.261
Iteration 2: (EM) log likelihood = -31652.032
Iteration 3: (EM) log likelihood = -31324.823
Iteration 4: (EM) log likelihood = -30643.444
Iteration 5: (EM) log likelihood = -29902.975
Iteration 6: (EM) log likelihood = -29371.82
Iteration 7: (EM) log likelihood = -28994.304
Iteration 8: (EM) log likelihood = -28693.618
Iteration 9: (EM) log likelihood = -28426.466
Iteration 10: (EM) log likelihood = -28194.507
Iteration 11: (EM) log likelihood = -28030.095
Iteration 12: (EM) log likelihood = -27936.104
Iteration 13: (EM) log likelihood = -27890.34
Iteration 14: (EM) log likelihood = -27870.372
Iteration 15: (EM) log likelihood = -27862.348
Iteration 16: (EM) log likelihood = -27859.319
Iteration 17: (EM) log likelihood = -27858.315
Iteration 18: (EM) log likelihood = -27858.271
Iteration 19: (EM) log likelihood = -27858.629
Iteration 20: (EM) log likelihood = -27859.237
Iteration 21: (EM) log likelihood = -27859.88
Iteration 22: (EM) log likelihood = -27860.481
Iteration 23: (EM) log likelihood = -27860.991
Iteration 24: (EM) log likelihood = -27861.43
Iteration 25: (EM) log likelihood = -27861.746
Iteration 26: (EM) log likelihood = -27862.023
Iteration 27: (EM) log likelihood = -27862.24
Iteration 28: (EM) log likelihood = -27862.393
Iteration 29: (EM) log likelihood = -27862.51
Iteration 30: (EM) log likelihood = -27862.592
Iteration 31: (EM) log likelihood = -27862.656
Iteration 32: (EM) log likelihood = -27862.701
Iteration 33: (EM) log likelihood = -27862.736
Iteration 34: (EM) log likelihood = -27862.762
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.8753
Iteration 1: (class) log likelihood = -2625.8753
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29165.369
Iteration 1: (outcome) log likelihood = -29165.369
Refining starting values:
Iteration 0: (EM) log likelihood = -31786.441
Iteration 1: (EM) log likelihood = -31764.003
Iteration 2: (EM) log likelihood = -31680.164
Iteration 3: (EM) log likelihood = -31408.405
Iteration 4: (EM) log likelihood = -30809.896
Iteration 5: (EM) log likelihood = -30053.737
Iteration 6: (EM) log likelihood = -29400.36
Iteration 7: (EM) log likelihood = -28910.671
Iteration 8: (EM) log likelihood = -28561.927
Iteration 9: (EM) log likelihood = -28296.612
Iteration 10: (EM) log likelihood = -28090.396
Iteration 11: (EM) log likelihood = -27963.008
Iteration 12: (EM) log likelihood = -27900.89
Iteration 13: (EM) log likelihood = -27874.366
Iteration 14: (EM) log likelihood = -27863.846
Iteration 15: (EM) log likelihood = -27859.996
Iteration 16: (EM) log likelihood = -27858.689
Iteration 17: (EM) log likelihood = -27858.394
Iteration 18: (EM) log likelihood = -27858.688
Iteration 19: (EM) log likelihood = -27859.229
Iteration 20: (EM) log likelihood = -27859.854
Iteration 21: (EM) log likelihood = -27860.454
Iteration 22: (EM) log likelihood = -27861.002
Iteration 23: (EM) log likelihood = -27861.444
Iteration 24: (EM) log likelihood = -27861.787
Iteration 25: (EM) log likelihood = -27862.051
Iteration 26: (EM) log likelihood = -27862.245
Iteration 27: (EM) log likelihood = -27862.392
Iteration 28: (EM) log likelihood = -27862.508
Iteration 29: (EM) log likelihood = -27862.602
Iteration 30: (EM) log likelihood = -27862.664
Iteration 31: (EM) log likelihood = -27862.706
Iteration 32: (EM) log likelihood = -27862.741
Iteration 33: (EM) log likelihood = -27862.765
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.134
Iteration 1: (class) log likelihood = -2626.134
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29158.13
Iteration 1: (outcome) log likelihood = -29158.13
Refining starting values:
Iteration 0: (EM) log likelihood = -31773.981
Iteration 1: (EM) log likelihood = -31749.61
Iteration 2: (EM) log likelihood = -31700.474
Iteration 3: (EM) log likelihood = -31609.764
Iteration 4: (EM) log likelihood = -31457.001
Iteration 5: (EM) log likelihood = -31227.498
Iteration 6: (EM) log likelihood = -30920.149
Iteration 7: (EM) log likelihood = -30554.731
Iteration 8: (EM) log likelihood = -30200.814
Iteration 9: (EM) log likelihood = -29892.4
Iteration 10: (EM) log likelihood = -29539.933
Iteration 11: (EM) log likelihood = -29090.392
Iteration 12: (EM) log likelihood = -28628.139
Iteration 13: (EM) log likelihood = -28278.424
Iteration 14: (EM) log likelihood = -28058.698
Iteration 15: (EM) log likelihood = -27942.251
Iteration 16: (EM) log likelihood = -27890.242
Iteration 17: (EM) log likelihood = -27869.548
Iteration 18: (EM) log likelihood = -27861.851
Iteration 19: (EM) log likelihood = -27859.159
Iteration 20: (EM) log likelihood = -27858.315
Iteration 21: (EM) log likelihood = -27858.281
Iteration 22: (EM) log likelihood = -27858.636
Iteration 23: (EM) log likelihood = -27859.199
Iteration 24: (EM) log likelihood = -27859.813
Iteration 25: (EM) log likelihood = -27860.436
Iteration 26: (EM) log likelihood = -27860.98
Iteration 27: (EM) log likelihood = -27861.434
Iteration 28: (EM) log likelihood = -27861.79
Iteration 29: (EM) log likelihood = -27862.03
Iteration 30: (EM) log likelihood = -27862.242
Iteration 31: (EM) log likelihood = -27862.392
Iteration 32: (EM) log likelihood = -27862.508
Iteration 33: (EM) log likelihood = -27862.59
Iteration 34: (EM) log likelihood = -27862.655
Iteration 35: (EM) log likelihood = -27862.699
Iteration 36: (EM) log likelihood = -27862.735
Iteration 37: (EM) log likelihood = -27862.76
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.964
Iteration 1: (class) log likelihood = -2625.964
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29167.101
Iteration 1: (outcome) log likelihood = -29167.101
Refining starting values:
Iteration 0: (EM) log likelihood = -31791.58
Iteration 1: (EM) log likelihood = -31784.939
Iteration 2: (EM) log likelihood = -31763.069
Iteration 3: (EM) log likelihood = -31686.103
Iteration 4: (EM) log likelihood = -31434.629
Iteration 5: (EM) log likelihood = -30855.375
Iteration 6: (EM) log likelihood = -30087.807
Iteration 7: (EM) log likelihood = -29412.966
Iteration 8: (EM) log likelihood = -28904.768
Iteration 9: (EM) log likelihood = -28545.292
Iteration 10: (EM) log likelihood = -28277.962
Iteration 11: (EM) log likelihood = -28074.938
Iteration 12: (EM) log likelihood = -27953.566
Iteration 13: (EM) log likelihood = -27896.5
Iteration 14: (EM) log likelihood = -27872.736
Iteration 15: (EM) log likelihood = -27863.319
Iteration 16: (EM) log likelihood = -27859.887
Iteration 17: (EM) log likelihood = -27858.788
Iteration 18: (EM) log likelihood = -27858.732
Iteration 19: (EM) log likelihood = -27859.111
Iteration 20: (EM) log likelihood = -27859.679
Iteration 21: (EM) log likelihood = -27860.294
Iteration 22: (EM) log likelihood = -27860.839
Iteration 23: (EM) log likelihood = -27861.302
Iteration 24: (EM) log likelihood = -27861.668
Iteration 25: (EM) log likelihood = -27861.955
Iteration 26: (EM) log likelihood = -27862.177
Iteration 27: (EM) log likelihood = -27862.364
Iteration 28: (EM) log likelihood = -27862.498
Iteration 29: (EM) log likelihood = -27862.583
Iteration 30: (EM) log likelihood = -27862.647
Iteration 31: (EM) log likelihood = -27862.695
Iteration 32: (EM) log likelihood = -27862.73
Iteration 33: (EM) log likelihood = -27862.757
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.191
Iteration 1: (class) log likelihood = -2626.191
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29165.742
Iteration 1: (outcome) log likelihood = -29165.742
Refining starting values:
Iteration 0: (EM) log likelihood = -31788.269
Iteration 1: (EM) log likelihood = -31766.544
Iteration 2: (EM) log likelihood = -31672.955
Iteration 3: (EM) log likelihood = -31345.892
Iteration 4: (EM) log likelihood = -30644.348
Iteration 5: (EM) log likelihood = -29873.295
Iteration 6: (EM) log likelihood = -29308.571
Iteration 7: (EM) log likelihood = -28905.843
Iteration 8: (EM) log likelihood = -28594.532
Iteration 9: (EM) log likelihood = -28333.271
Iteration 10: (EM) log likelihood = -28124.391
Iteration 11: (EM) log likelihood = -27987.797
Iteration 12: (EM) log likelihood = -27914.814
Iteration 13: (EM) log likelihood = -27880.874
Iteration 14: (EM) log likelihood = -27866.535
Iteration 15: (EM) log likelihood = -27860.895
Iteration 16: (EM) log likelihood = -27858.826
Iteration 17: (EM) log likelihood = -27858.31
Iteration 18: (EM) log likelihood = -27858.51
Iteration 19: (EM) log likelihood = -27858.943
Iteration 20: (EM) log likelihood = -27859.545
Iteration 21: (EM) log likelihood = -27860.206
Iteration 22: (EM) log likelihood = -27860.772
Iteration 23: (EM) log likelihood = -27861.254
Iteration 24: (EM) log likelihood = -27861.652
Iteration 25: (EM) log likelihood = -27861.97
Iteration 26: (EM) log likelihood = -27862.182
Iteration 27: (EM) log likelihood = -27862.337
Iteration 28: (EM) log likelihood = -27862.472
Iteration 29: (EM) log likelihood = -27862.571
Iteration 30: (EM) log likelihood = -27862.638
Iteration 31: (EM) log likelihood = -27862.689
Iteration 32: (EM) log likelihood = -27862.727
Iteration 33: (EM) log likelihood = -27862.755
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.305
Iteration 1: (class) log likelihood = -2626.305
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29158.427
Iteration 1: (outcome) log likelihood = -29158.427
Refining starting values:
Iteration 0: (EM) log likelihood = -31782.241
Iteration 1: (EM) log likelihood = -31774.66
Iteration 2: (EM) log likelihood = -31758.802
Iteration 3: (EM) log likelihood = -31728.153
Iteration 4: (EM) log likelihood = -31672.007
Iteration 5: (EM) log likelihood = -31576.385
Iteration 6: (EM) log likelihood = -31430.415
Iteration 7: (EM) log likelihood = -31237.996
Iteration 8: (EM) log likelihood = -31022.327
Iteration 9: (EM) log likelihood = -30813.512
Iteration 10: (EM) log likelihood = -30634.307
Iteration 11: (EM) log likelihood = -30491.944
Iteration 12: (EM) log likelihood = -30373.954
Iteration 13: (EM) log likelihood = -30250.479
Iteration 14: (EM) log likelihood = -30081.207
Iteration 15: (EM) log likelihood = -29858.428
Iteration 16: (EM) log likelihood = -29621.706
Iteration 17: (EM) log likelihood = -29398.352
Iteration 18: (EM) log likelihood = -29183.284
Iteration 19: (EM) log likelihood = -28949.449
Iteration 20: (EM) log likelihood = -28700.966
Iteration 21: (EM) log likelihood = -28467.938
Iteration 22: (EM) log likelihood = -28256.608
Iteration 23: (EM) log likelihood = -28088.907
Iteration 24: (EM) log likelihood = -27963.562
Iteration 25: (EM) log likelihood = -27900.014
Iteration 26: (EM) log likelihood = -27873.098
Iteration 27: (EM) log likelihood = -27862.638
Iteration 28: (EM) log likelihood = -27859.027
Iteration 29: (EM) log likelihood = -27857.939
Iteration 30: (EM) log likelihood = -27857.726
Iteration 31: (EM) log likelihood = -27857.912
Iteration 32: (EM) log likelihood = -27858.389
Iteration 33: (EM) log likelihood = -27859.023
Iteration 34: (EM) log likelihood = -27859.704
Iteration 35: (EM) log likelihood = -27860.375
Iteration 36: (EM) log likelihood = -27860.963
Iteration 37: (EM) log likelihood = -27861.422
Iteration 38: (EM) log likelihood = -27861.759
Iteration 39: (EM) log likelihood = -27862.029
Iteration 40: (EM) log likelihood = -27862.251
Iteration 41: (EM) log likelihood = -27862.41
Iteration 42: (EM) log likelihood = -27862.517
Iteration 43: (EM) log likelihood = -27862.609
Iteration 44: (EM) log likelihood = -27862.666
Iteration 45: (EM) log likelihood = -27862.71
Iteration 46: (EM) log likelihood = -27862.742
Iteration 47: (EM) log likelihood = -27862.767
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.3187
Iteration 1: (class) log likelihood = -2626.3187
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29163.951
Iteration 1: (outcome) log likelihood = -29163.951
Refining starting values:
Iteration 0: (EM) log likelihood = -31776.652
Iteration 1: (EM) log likelihood = -31715.392
Iteration 2: (EM) log likelihood = -31488.565
Iteration 3: (EM) log likelihood = -30912.906
Iteration 4: (EM) log likelihood = -30125.37
Iteration 5: (EM) log likelihood = -29480.329
Iteration 6: (EM) log likelihood = -29025.317
Iteration 7: (EM) log likelihood = -28688.492
Iteration 8: (EM) log likelihood = -28414.244
Iteration 9: (EM) log likelihood = -28183.885
Iteration 10: (EM) log likelihood = -28020.783
Iteration 11: (EM) log likelihood = -27929.897
Iteration 12: (EM) log likelihood = -27887.259
Iteration 13: (EM) log likelihood = -27869.162
Iteration 14: (EM) log likelihood = -27861.957
Iteration 15: (EM) log likelihood = -27859.251
Iteration 16: (EM) log likelihood = -27858.425
Iteration 17: (EM) log likelihood = -27858.51
Iteration 18: (EM) log likelihood = -27858.938
Iteration 19: (EM) log likelihood = -27859.579
Iteration 20: (EM) log likelihood = -27860.21
Iteration 21: (EM) log likelihood = -27860.791
Iteration 22: (EM) log likelihood = -27861.276
Iteration 23: (EM) log likelihood = -27861.683
Iteration 24: (EM) log likelihood = -27861.967
Iteration 25: (EM) log likelihood = -27862.186
Iteration 26: (EM) log likelihood = -27862.361
Iteration 27: (EM) log likelihood = -27862.487
Iteration 28: (EM) log likelihood = -27862.587
Iteration 29: (EM) log likelihood = -27862.654
Iteration 30: (EM) log likelihood = -27862.7
Iteration 31: (EM) log likelihood = -27862.734
Iteration 32: (EM) log likelihood = -27862.76
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.191
Iteration 1: (class) log likelihood = -2626.191
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29161.671
Iteration 1: (outcome) log likelihood = -29161.671
Refining starting values:
Iteration 0: (EM) log likelihood = -31779.899
Iteration 1: (EM) log likelihood = -31746.815
Iteration 2: (EM) log likelihood = -31620.018
Iteration 3: (EM) log likelihood = -31224.404
Iteration 4: (EM) log likelihood = -30483.229
Iteration 5: (EM) log likelihood = -29741.797
Iteration 6: (EM) log likelihood = -29205.904
Iteration 7: (EM) log likelihood = -28819.277
Iteration 8: (EM) log likelihood = -28516.506
Iteration 9: (EM) log likelihood = -28264.548
Iteration 10: (EM) log likelihood = -28074.966
Iteration 11: (EM) log likelihood = -27959.516
Iteration 12: (EM) log likelihood = -27900.901
Iteration 13: (EM) log likelihood = -27874.603
Iteration 14: (EM) log likelihood = -27863.874
Iteration 15: (EM) log likelihood = -27859.813
Iteration 16: (EM) log likelihood = -27858.49
Iteration 17: (EM) log likelihood = -27858.153
Iteration 18: (EM) log likelihood = -27858.418
Iteration 19: (EM) log likelihood = -27858.869
Iteration 20: (EM) log likelihood = -27859.518
Iteration 21: (EM) log likelihood = -27860.179
Iteration 22: (EM) log likelihood = -27860.748
Iteration 23: (EM) log likelihood = -27861.185
Iteration 24: (EM) log likelihood = -27861.592
Iteration 25: (EM) log likelihood = -27861.938
Iteration 26: (EM) log likelihood = -27862.163
Iteration 27: (EM) log likelihood = -27862.356
Iteration 28: (EM) log likelihood = -27862.473
Iteration 29: (EM) log likelihood = -27862.565
Iteration 30: (EM) log likelihood = -27862.63
Iteration 31: (EM) log likelihood = -27862.686
Iteration 32: (EM) log likelihood = -27862.723
Iteration 33: (EM) log likelihood = -27862.753
Iteration 34: (EM) log likelihood = -27862.772
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.0674
Iteration 1: (class) log likelihood = -2626.0674
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29165.88
Iteration 1: (outcome) log likelihood = -29165.88
Refining starting values:
Iteration 0: (EM) log likelihood = -31793.463
Iteration 1: (EM) log likelihood = -31794.11
Iteration 2: (EM) log likelihood = -31793.977
Iteration 3: (EM) log likelihood = -31792.423
Iteration 4: (EM) log likelihood = -31786.76
Iteration 5: (EM) log likelihood = -31766.561
Iteration 6: (EM) log likelihood = -31692.413
Iteration 7: (EM) log likelihood = -31444.833
Iteration 8: (EM) log likelihood = -30870.671
Iteration 9: (EM) log likelihood = -30117.502
Iteration 10: (EM) log likelihood = -29443.948
Iteration 11: (EM) log likelihood = -28924.057
Iteration 12: (EM) log likelihood = -28550.516
Iteration 13: (EM) log likelihood = -28271.414
Iteration 14: (EM) log likelihood = -28071.009
Iteration 15: (EM) log likelihood = -27953.646
Iteration 16: (EM) log likelihood = -27897.09
Iteration 17: (EM) log likelihood = -27872.892
Iteration 18: (EM) log likelihood = -27863.282
Iteration 19: (EM) log likelihood = -27859.78
Iteration 20: (EM) log likelihood = -27858.63
Iteration 21: (EM) log likelihood = -27858.376
Iteration 22: (EM) log likelihood = -27858.734
Iteration 23: (EM) log likelihood = -27859.293
Iteration 24: (EM) log likelihood = -27859.9
Iteration 25: (EM) log likelihood = -27860.504
Iteration 26: (EM) log likelihood = -27860.982
Iteration 27: (EM) log likelihood = -27861.426
Iteration 28: (EM) log likelihood = -27861.771
Iteration 29: (EM) log likelihood = -27862.031
Iteration 30: (EM) log likelihood = -27862.235
Iteration 31: (EM) log likelihood = -27862.396
Iteration 32: (EM) log likelihood = -27862.509
Iteration 33: (EM) log likelihood = -27862.591
Iteration 34: (EM) log likelihood = -27862.653
Iteration 35: (EM) log likelihood = -27862.701
Iteration 36: (EM) log likelihood = -27862.735
Iteration 37: (EM) log likelihood = -27862.761
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.154
Iteration 1: (class) log likelihood = -2626.154
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29167.338
Iteration 1: (outcome) log likelihood = -29167.338
Refining starting values:
Iteration 0: (EM) log likelihood = -31792.766
Iteration 1: (EM) log likelihood = -31789.199
Iteration 2: (EM) log likelihood = -31778.768
Iteration 3: (EM) log likelihood = -31748.54
Iteration 4: (EM) log likelihood = -31656.673
Iteration 5: (EM) log likelihood = -31387.548
Iteration 6: (EM) log likelihood = -30795.333
Iteration 7: (EM) log likelihood = -30072.111
Iteration 8: (EM) log likelihood = -29546.756
Iteration 9: (EM) log likelihood = -29192.672
Iteration 10: (EM) log likelihood = -28915.356
Iteration 11: (EM) log likelihood = -28668.7
Iteration 12: (EM) log likelihood = -28432.664
Iteration 13: (EM) log likelihood = -28216.38
Iteration 14: (EM) log likelihood = -28052.455
Iteration 15: (EM) log likelihood = -27950.767
Iteration 16: (EM) log likelihood = -27897.404
Iteration 17: (EM) log likelihood = -27872.897
Iteration 18: (EM) log likelihood = -27862.927
Iteration 19: (EM) log likelihood = -27859.305
Iteration 20: (EM) log likelihood = -27858.116
Iteration 21: (EM) log likelihood = -27857.861
Iteration 22: (EM) log likelihood = -27858.083
Iteration 23: (EM) log likelihood = -27858.583
Iteration 24: (EM) log likelihood = -27859.242
Iteration 25: (EM) log likelihood = -27859.904
Iteration 26: (EM) log likelihood = -27860.522
Iteration 27: (EM) log likelihood = -27861.051
Iteration 28: (EM) log likelihood = -27861.443
Iteration 29: (EM) log likelihood = -27861.768
Iteration 30: (EM) log likelihood = -27862.036
Iteration 31: (EM) log likelihood = -27862.242
Iteration 32: (EM) log likelihood = -27862.399
Iteration 33: (EM) log likelihood = -27862.511
Iteration 34: (EM) log likelihood = -27862.594
Iteration 35: (EM) log likelihood = -27862.658
Iteration 36: (EM) log likelihood = -27862.705
Iteration 37: (EM) log likelihood = -27862.74
Iteration 38: (EM) log likelihood = -27862.765
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.324
Iteration 1: (class) log likelihood = -2626.324
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29164.755
Iteration 1: (outcome) log likelihood = -29164.755
Refining starting values:
Iteration 0: (EM) log likelihood = -31786.074
Iteration 1: (EM) log likelihood = -31761.44
Iteration 2: (EM) log likelihood = -31662.613
Iteration 3: (EM) log likelihood = -31331.926
Iteration 4: (EM) log likelihood = -30630.951
Iteration 5: (EM) log likelihood = -29844.72
Iteration 6: (EM) log likelihood = -29258.593
Iteration 7: (EM) log likelihood = -28847.912
Iteration 8: (EM) log likelihood = -28537.711
Iteration 9: (EM) log likelihood = -28284.824
Iteration 10: (EM) log likelihood = -28090.663
Iteration 11: (EM) log likelihood = -27968.498
Iteration 12: (EM) log likelihood = -27905.323
Iteration 13: (EM) log likelihood = -27876.705
Iteration 14: (EM) log likelihood = -27864.864
Iteration 15: (EM) log likelihood = -27860.27
Iteration 16: (EM) log likelihood = -27858.623
Iteration 17: (EM) log likelihood = -27858.233
Iteration 18: (EM) log likelihood = -27858.51
Iteration 19: (EM) log likelihood = -27859.027
Iteration 20: (EM) log likelihood = -27859.685
Iteration 21: (EM) log likelihood = -27860.338
Iteration 22: (EM) log likelihood = -27860.907
Iteration 23: (EM) log likelihood = -27861.364
Iteration 24: (EM) log likelihood = -27861.718
Iteration 25: (EM) log likelihood = -27861.973
Iteration 26: (EM) log likelihood = -27862.198
Iteration 27: (EM) log likelihood = -27862.387
Iteration 28: (EM) log likelihood = -27862.497
Iteration 29: (EM) log likelihood = -27862.588
Iteration 30: (EM) log likelihood = -27862.649
Iteration 31: (EM) log likelihood = -27862.699
Iteration 32: (EM) log likelihood = -27862.733
Iteration 33: (EM) log likelihood = -27862.76
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2624.7666
Iteration 1: (class) log likelihood = -2624.7666
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29162.962
Iteration 1: (outcome) log likelihood = -29162.962
Refining starting values:
Iteration 0: (EM) log likelihood = -31787.246
Iteration 1: (EM) log likelihood = -31783.07
Iteration 2: (EM) log likelihood = -31770.808
Iteration 3: (EM) log likelihood = -31733.935
Iteration 4: (EM) log likelihood = -31612.447
Iteration 5: (EM) log likelihood = -31244.509
Iteration 6: (EM) log likelihood = -30533.971
Iteration 7: (EM) log likelihood = -29826.585
Iteration 8: (EM) log likelihood = -29344.754
Iteration 9: (EM) log likelihood = -29004.497
Iteration 10: (EM) log likelihood = -28727.784
Iteration 11: (EM) log likelihood = -28475.267
Iteration 12: (EM) log likelihood = -28242.257
Iteration 13: (EM) log likelihood = -28062.463
Iteration 14: (EM) log likelihood = -27954.243
Iteration 15: (EM) log likelihood = -27899.117
Iteration 16: (EM) log likelihood = -27874.15
Iteration 17: (EM) log likelihood = -27863.838
Iteration 18: (EM) log likelihood = -27859.865
Iteration 19: (EM) log likelihood = -27858.461
Iteration 20: (EM) log likelihood = -27858.169
Iteration 21: (EM) log likelihood = -27858.47
Iteration 22: (EM) log likelihood = -27859.028
Iteration 23: (EM) log likelihood = -27859.683
Iteration 24: (EM) log likelihood = -27860.322
Iteration 25: (EM) log likelihood = -27860.9
Iteration 26: (EM) log likelihood = -27861.397
Iteration 27: (EM) log likelihood = -27861.732
Iteration 28: (EM) log likelihood = -27862.011
Iteration 29: (EM) log likelihood = -27862.219
Iteration 30: (EM) log likelihood = -27862.346
Iteration 31: (EM) log likelihood = -27862.473
Iteration 32: (EM) log likelihood = -27862.576
Iteration 33: (EM) log likelihood = -27862.642
Iteration 34: (EM) log likelihood = -27862.692
Iteration 35: (EM) log likelihood = -27862.729
Iteration 36: (EM) log likelihood = -27862.757
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.2385
Iteration 1: (class) log likelihood = -2626.2385
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29158.042
Iteration 1: (outcome) log likelihood = -29158.042
Refining starting values:
Iteration 0: (EM) log likelihood = -31780.107
Iteration 1: (EM) log likelihood = -31772.025
Iteration 2: (EM) log likelihood = -31759.585
Iteration 3: (EM) log likelihood = -31741.153
Iteration 4: (EM) log likelihood = -31712.734
Iteration 5: (EM) log likelihood = -31665.646
Iteration 6: (EM) log likelihood = -31582.297
Iteration 7: (EM) log likelihood = -31429.971
Iteration 8: (EM) log likelihood = -31156.022
Iteration 9: (EM) log likelihood = -30716.491
Iteration 10: (EM) log likelihood = -30169.996
Iteration 11: (EM) log likelihood = -29620.648
Iteration 12: (EM) log likelihood = -29111.988
Iteration 13: (EM) log likelihood = -28723.101
Iteration 14: (EM) log likelihood = -28454.52
Iteration 15: (EM) log likelihood = -28241.391
Iteration 16: (EM) log likelihood = -28065.833
Iteration 17: (EM) log likelihood = -27953.991
Iteration 18: (EM) log likelihood = -27898.126
Iteration 19: (EM) log likelihood = -27873.687
Iteration 20: (EM) log likelihood = -27863.771
Iteration 21: (EM) log likelihood = -27859.973
Iteration 22: (EM) log likelihood = -27858.721
Iteration 23: (EM) log likelihood = -27858.598
Iteration 24: (EM) log likelihood = -27859.023
Iteration 25: (EM) log likelihood = -27859.63
Iteration 26: (EM) log likelihood = -27860.256
Iteration 27: (EM) log likelihood = -27860.822
Iteration 28: (EM) log likelihood = -27861.297
Iteration 29: (EM) log likelihood = -27861.689
Iteration 30: (EM) log likelihood = -27861.983
Iteration 31: (EM) log likelihood = -27862.202
Iteration 32: (EM) log likelihood = -27862.366
Iteration 33: (EM) log likelihood = -27862.498
Iteration 34: (EM) log likelihood = -27862.582
Iteration 35: (EM) log likelihood = -27862.649
Iteration 36: (EM) log likelihood = -27862.695
Iteration 37: (EM) log likelihood = -27862.731
Iteration 38: (EM) log likelihood = -27862.757
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.2418
Iteration 1: (class) log likelihood = -2625.2418
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29151.677
Iteration 1: (outcome) log likelihood = -29151.677
Refining starting values:
Iteration 0: (EM) log likelihood = -31762.16
Iteration 1: (EM) log likelihood = -31704.695
Iteration 2: (EM) log likelihood = -31510.71
Iteration 3: (EM) log likelihood = -31028.28
Iteration 4: (EM) log likelihood = -30312.454
Iteration 5: (EM) log likelihood = -29612.922
Iteration 6: (EM) log likelihood = -29050.848
Iteration 7: (EM) log likelihood = -28649.981
Iteration 8: (EM) log likelihood = -28358.053
Iteration 9: (EM) log likelihood = -28132.605
Iteration 10: (EM) log likelihood = -27986.296
Iteration 11: (EM) log likelihood = -27911.668
Iteration 12: (EM) log likelihood = -27878.934
Iteration 13: (EM) log likelihood = -27865.704
Iteration 14: (EM) log likelihood = -27860.614
Iteration 15: (EM) log likelihood = -27858.796
Iteration 16: (EM) log likelihood = -27858.425
Iteration 17: (EM) log likelihood = -27858.657
Iteration 18: (EM) log likelihood = -27859.197
Iteration 19: (EM) log likelihood = -27859.774
Iteration 20: (EM) log likelihood = -27860.398
Iteration 21: (EM) log likelihood = -27860.945
Iteration 22: (EM) log likelihood = -27861.4
Iteration 23: (EM) log likelihood = -27861.74
Iteration 24: (EM) log likelihood = -27862.028
Iteration 25: (EM) log likelihood = -27862.248
Iteration 26: (EM) log likelihood = -27862.4
Iteration 27: (EM) log likelihood = -27862.518
Iteration 28: (EM) log likelihood = -27862.596
Iteration 29: (EM) log likelihood = -27862.661
Iteration 30: (EM) log likelihood = -27862.704
Iteration 31: (EM) log likelihood = -27862.738
Iteration 32: (EM) log likelihood = -27862.762
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.2237
Iteration 1: (class) log likelihood = -2626.2237
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29155.513
Iteration 1: (outcome) log likelihood = -29155.513
Refining starting values:
Iteration 0: (EM) log likelihood = -31779.001
Iteration 1: (EM) log likelihood = -31765.792
Iteration 2: (EM) log likelihood = -31719.813
Iteration 3: (EM) log likelihood = -31560.742
Iteration 4: (EM) log likelihood = -31118.161
Iteration 5: (EM) log likelihood = -30376.846
Iteration 6: (EM) log likelihood = -29652.246
Iteration 7: (EM) log likelihood = -29116.751
Iteration 8: (EM) log likelihood = -28742.666
Iteration 9: (EM) log likelihood = -28457.033
Iteration 10: (EM) log likelihood = -28212.48
Iteration 11: (EM) log likelihood = -28033.788
Iteration 12: (EM) log likelihood = -27934.765
Iteration 13: (EM) log likelihood = -27889.066
Iteration 14: (EM) log likelihood = -27869.902
Iteration 15: (EM) log likelihood = -27862.289
Iteration 16: (EM) log likelihood = -27859.437
Iteration 17: (EM) log likelihood = -27858.587
Iteration 18: (EM) log likelihood = -27858.634
Iteration 19: (EM) log likelihood = -27859.133
Iteration 20: (EM) log likelihood = -27859.739
Iteration 21: (EM) log likelihood = -27860.375
Iteration 22: (EM) log likelihood = -27860.903
Iteration 23: (EM) log likelihood = -27861.396
Iteration 24: (EM) log likelihood = -27861.742
Iteration 25: (EM) log likelihood = -27862.021
Iteration 26: (EM) log likelihood = -27862.239
Iteration 27: (EM) log likelihood = -27862.403
Iteration 28: (EM) log likelihood = -27862.521
Iteration 29: (EM) log likelihood = -27862.603
Iteration 30: (EM) log likelihood = -27862.661
Iteration 31: (EM) log likelihood = -27862.705
Iteration 32: (EM) log likelihood = -27862.738
Iteration 33: (EM) log likelihood = -27862.763
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.2765
Iteration 1: (class) log likelihood = -2626.2765
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29156.737
Iteration 1: (outcome) log likelihood = -29156.737
Refining starting values:
Iteration 0: (EM) log likelihood = -31775.199
Iteration 1: (EM) log likelihood = -31757.238
Iteration 2: (EM) log likelihood = -31710.952
Iteration 3: (EM) log likelihood = -31580.336
Iteration 4: (EM) log likelihood = -31248.759
Iteration 5: (EM) log likelihood = -30662.167
Iteration 6: (EM) log likelihood = -30002.956
Iteration 7: (EM) log likelihood = -29431.163
Iteration 8: (EM) log likelihood = -28958.791
Iteration 9: (EM) log likelihood = -28596.662
Iteration 10: (EM) log likelihood = -28338.17
Iteration 11: (EM) log likelihood = -28127.05
Iteration 12: (EM) log likelihood = -27980.642
Iteration 13: (EM) log likelihood = -27907.597
Iteration 14: (EM) log likelihood = -27877.109
Iteration 15: (EM) log likelihood = -27865.055
Iteration 16: (EM) log likelihood = -27860.644
Iteration 17: (EM) log likelihood = -27859.136
Iteration 18: (EM) log likelihood = -27858.928
Iteration 19: (EM) log likelihood = -27859.274
Iteration 20: (EM) log likelihood = -27859.835
Iteration 21: (EM) log likelihood = -27860.429
Iteration 22: (EM) log likelihood = -27860.95
Iteration 23: (EM) log likelihood = -27861.36
Iteration 24: (EM) log likelihood = -27861.727
Iteration 25: (EM) log likelihood = -27862.006
Iteration 26: (EM) log likelihood = -27862.224
Iteration 27: (EM) log likelihood = -27862.381
Iteration 28: (EM) log likelihood = -27862.505
Iteration 29: (EM) log likelihood = -27862.59
Iteration 30: (EM) log likelihood = -27862.653
Iteration 31: (EM) log likelihood = -27862.697
Iteration 32: (EM) log likelihood = -27862.731
Iteration 33: (EM) log likelihood = -27862.756
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.3282
Iteration 1: (class) log likelihood = -2626.3282
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29155.68
Iteration 1: (outcome) log likelihood = -29155.68
Refining starting values:
Iteration 0: (EM) log likelihood = -31772.451
Iteration 1: (EM) log likelihood = -31744.807
Iteration 2: (EM) log likelihood = -31671.169
Iteration 3: (EM) log likelihood = -31479.916
Iteration 4: (EM) log likelihood = -31073.152
Iteration 5: (EM) log likelihood = -30487.243
Iteration 6: (EM) log likelihood = -29927.124
Iteration 7: (EM) log likelihood = -29487.485
Iteration 8: (EM) log likelihood = -29122.329
Iteration 9: (EM) log likelihood = -28806.509
Iteration 10: (EM) log likelihood = -28531.44
Iteration 11: (EM) log likelihood = -28285.475
Iteration 12: (EM) log likelihood = -28090.306
Iteration 13: (EM) log likelihood = -27967.692
Iteration 14: (EM) log likelihood = -27904.258
Iteration 15: (EM) log likelihood = -27875.482
Iteration 16: (EM) log likelihood = -27863.793
Iteration 17: (EM) log likelihood = -27859.556
Iteration 18: (EM) log likelihood = -27858.27
Iteration 19: (EM) log likelihood = -27857.946
Iteration 20: (EM) log likelihood = -27858.079
Iteration 21: (EM) log likelihood = -27858.554
Iteration 22: (EM) log likelihood = -27859.132
Iteration 23: (EM) log likelihood = -27859.808
Iteration 24: (EM) log likelihood = -27860.425
Iteration 25: (EM) log likelihood = -27860.981
Iteration 26: (EM) log likelihood = -27861.418
Iteration 27: (EM) log likelihood = -27861.769
Iteration 28: (EM) log likelihood = -27862.053
Iteration 29: (EM) log likelihood = -27862.265
Iteration 30: (EM) log likelihood = -27862.412
Iteration 31: (EM) log likelihood = -27862.512
Iteration 32: (EM) log likelihood = -27862.594
Iteration 33: (EM) log likelihood = -27862.658
Iteration 34: (EM) log likelihood = -27862.7
Iteration 35: (EM) log likelihood = -27862.735
Iteration 36: (EM) log likelihood = -27862.759
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.2079
Iteration 1: (class) log likelihood = -2626.2079 (backed up)
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29154.898
Iteration 1: (outcome) log likelihood = -29154.898
Refining starting values:
Iteration 0: (EM) log likelihood = -31777.851
Iteration 1: (EM) log likelihood = -31767.236
Iteration 2: (EM) log likelihood = -31736.119
Iteration 3: (EM) log likelihood = -31635.431
Iteration 4: (EM) log likelihood = -31329.095
Iteration 5: (EM) log likelihood = -30690.962
Iteration 6: (EM) log likelihood = -29968.486
Iteration 7: (EM) log likelihood = -29432.534
Iteration 8: (EM) log likelihood = -29034.299
Iteration 9: (EM) log likelihood = -28705.917
Iteration 10: (EM) log likelihood = -28430.899
Iteration 11: (EM) log likelihood = -28198.028
Iteration 12: (EM) log likelihood = -28029.419
Iteration 13: (EM) log likelihood = -27934.119
Iteration 14: (EM) log likelihood = -27889.135
Iteration 15: (EM) log likelihood = -27869.959
Iteration 16: (EM) log likelihood = -27862.285
Iteration 17: (EM) log likelihood = -27859.383
Iteration 18: (EM) log likelihood = -27858.521
Iteration 19: (EM) log likelihood = -27858.536
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2625.6694
Iteration 1: (class) log likelihood = -2625.6694
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29161.638
Iteration 1: (outcome) log likelihood = -29161.638
Refining starting values:
Iteration 0: (EM) log likelihood = -31788.828
Iteration 1: (EM) log likelihood = -31788.673
Iteration 2: (EM) log likelihood = -31786.055
Iteration 3: (EM) log likelihood = -31776.605
Iteration 4: (EM) log likelihood = -31742.819
Iteration 5: (EM) log likelihood = -31621.2
Iteration 6: (EM) log likelihood = -31256.479
Iteration 7: (EM) log likelihood = -30577.804
Iteration 8: (EM) log likelihood = -29872.607
Iteration 9: (EM) log likelihood = -29329.976
Iteration 10: (EM) log likelihood = -28916.875
Iteration 11: (EM) log likelihood = -28594.681
Iteration 12: (EM) log likelihood = -28330.994
Iteration 13: (EM) log likelihood = -28118.202
Iteration 14: (EM) log likelihood = -27980.35
Iteration 15: (EM) log likelihood = -27909.547
Iteration 16: (EM) log likelihood = -27878.05
Iteration 17: (EM) log likelihood = -27865.233
Iteration 18: (EM) log likelihood = -27860.349
Iteration 19: (EM) log likelihood = -27858.676
Iteration 20: (EM) log likelihood = -27858.274
Iteration 21: (EM) log likelihood = -27858.481
Iteration 22: (EM) log likelihood = -27858.954
Iteration 23: (EM) log likelihood = -27859.592
Iteration 24: (EM) log likelihood = -27860.235
Iteration 25: (EM) log likelihood = -27860.767
Iteration 26: (EM) log likelihood = -27861.257
Iteration 27: (EM) log likelihood = -27861.648
Iteration 28: (EM) log likelihood = -27861.946
Iteration 29: (EM) log likelihood = -27862.177
Iteration 30: (EM) log likelihood = -27862.33
Iteration 31: (EM) log likelihood = -27862.46
Iteration 32: (EM) log likelihood = -27862.556
Iteration 33: (EM) log likelihood = -27862.625
Iteration 34: (EM) log likelihood = -27862.68
Iteration 35: (EM) log likelihood = -27862.719
Iteration 36: (EM) log likelihood = -27862.75
Iteration 37: (EM) log likelihood = -27862.77
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.0674
Iteration 1: (class) log likelihood = -2626.0674
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29165.839
Iteration 1: (outcome) log likelihood = -29165.839
Refining starting values:
Iteration 0: (EM) log likelihood = -31786.8
Iteration 1: (EM) log likelihood = -31765.327
Iteration 2: (EM) log likelihood = -31681.09
Iteration 3: (EM) log likelihood = -31391.701
Iteration 4: (EM) log likelihood = -30739.572
Iteration 5: (EM) log likelihood = -29963.21
Iteration 6: (EM) log likelihood = -29362.842
Iteration 7: (EM) log likelihood = -28928.99
Iteration 8: (EM) log likelihood = -28599.689
Iteration 9: (EM) log likelihood = -28331.399
Iteration 10: (EM) log likelihood = -28119.056
Iteration 11: (EM) log likelihood = -27982.365
Iteration 12: (EM) log likelihood = -27911.302
Iteration 13: (EM) log likelihood = -27879.126
Iteration 14: (EM) log likelihood = -27865.794
Iteration 15: (EM) log likelihood = -27860.611
Iteration 16: (EM) log likelihood = -27858.817
Iteration 17: (EM) log likelihood = -27858.365
Iteration 18: (EM) log likelihood = -27858.55
Iteration 19: (EM) log likelihood = -27859.023
Iteration 20: (EM) log likelihood = -27859.666
Iteration 21: (EM) log likelihood = -27860.287
Iteration 22: (EM) log likelihood = -27860.874
Iteration 23: (EM) log likelihood = -27861.321
Iteration 24: (EM) log likelihood = -27861.679
Iteration 25: (EM) log likelihood = -27861.969
Iteration 26: (EM) log likelihood = -27862.203
Iteration 27: (EM) log likelihood = -27862.371
Iteration 28: (EM) log likelihood = -27862.496
Iteration 29: (EM) log likelihood = -27862.581
Iteration 30: (EM) log likelihood = -27862.648
Iteration 31: (EM) log likelihood = -27862.696
Iteration 32: (EM) log likelihood = -27862.733
Iteration 33: (EM) log likelihood = -27862.758
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.154
Iteration 1: (class) log likelihood = -2626.154
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29160.47
Iteration 1: (outcome) log likelihood = -29160.47
Refining starting values:
Iteration 0: (EM) log likelihood = -31780.996
Iteration 1: (EM) log likelihood = -31761.666
Iteration 2: (EM) log likelihood = -31691.889
Iteration 3: (EM) log likelihood = -31455.255
Iteration 4: (EM) log likelihood = -30886.893
Iteration 5: (EM) log likelihood = -30142.932
Iteration 6: (EM) log likelihood = -29551.916
Iteration 7: (EM) log likelihood = -29129.416
Iteration 8: (EM) log likelihood = -28806.376
Iteration 9: (EM) log likelihood = -28539.345
Iteration 10: (EM) log likelihood = -28293.382
Iteration 11: (EM) log likelihood = -28091.837
Iteration 12: (EM) log likelihood = -27967.449
Iteration 13: (EM) log likelihood = -27904.344
Iteration 14: (EM) log likelihood = -27876.034
Iteration 15: (EM) log likelihood = -27864.447
Iteration 16: (EM) log likelihood = -27860.039
Iteration 17: (EM) log likelihood = -27858.48
Iteration 18: (EM) log likelihood = -27858.103
Iteration 19: (EM) log likelihood = -27858.338
Iteration 20: (EM) log likelihood = -27858.855
Iteration 21: (EM) log likelihood = -27859.505
Iteration 22: (EM) log likelihood = -27860.198
Iteration 23: (EM) log likelihood = -27860.777
Iteration 24: (EM) log likelihood = -27861.256
Iteration 25: (EM) log likelihood = -27861.644
Iteration 26: (EM) log likelihood = -27861.939
Iteration 27: (EM) log likelihood = -27862.159
Iteration 28: (EM) log likelihood = -27862.337
Iteration 29: (EM) log likelihood = -27862.482
Iteration 30: (EM) log likelihood = -27862.563
Iteration 31: (EM) log likelihood = -27862.634
Iteration 32: (EM) log likelihood = -27862.683
Iteration 33: (EM) log likelihood = -27862.72
Iteration 34: (EM) log likelihood = -27862.746
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -2626.3345
Iteration 1: (class) log likelihood = -2626.3345
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29165.065
Iteration 1: (outcome) log likelihood = -29165.065
Refining starting values:
Iteration 0: (EM) log likelihood = -31785.353
Iteration 1: (EM) log likelihood = -31762.931
Iteration 2: (EM) log likelihood = -31679.613
Iteration 3: (EM) log likelihood = -31403.058
Iteration 4: (EM) log likelihood = -30777.545
Iteration 5: (EM) log likelihood = -29987.25
Iteration 6: (EM) log likelihood = -29341.334
Iteration 7: (EM) log likelihood = -28889.197
Iteration 8: (EM) log likelihood = -28561.802
Iteration 9: (EM) log likelihood = -28299.087
Iteration 10: (EM) log likelihood = -28098.017
Iteration 11: (EM) log likelihood = -27971.591
Iteration 12: (EM) log likelihood = -27906.507
Iteration 13: (EM) log likelihood = -27877.167
Iteration 14: (EM) log likelihood = -27865.052
Iteration 15: (EM) log likelihood = -27860.35
Iteration 16: (EM) log likelihood = -27858.662
Iteration 17: (EM) log likelihood = -27858.264
Iteration 18: (EM) log likelihood = -27858.544
Iteration 19: (EM) log likelihood = -27859.089
Iteration 20: (EM) log likelihood = -27859.724
Iteration 21: (EM) log likelihood = -27860.358
Iteration 22: (EM) log likelihood = -27860.924
Iteration 23: (EM) log likelihood = -27861.383
Iteration 24: (EM) log likelihood = -27861.694
Iteration 25: (EM) log likelihood = -27861.996
Iteration 26: (EM) log likelihood = -27862.192
Iteration 27: (EM) log likelihood = -27862.357
Iteration 28: (EM) log likelihood = -27862.493
Iteration 29: (EM) log likelihood = -27862.571
Iteration 30: (EM) log likelihood = -27862.64
Iteration 31: (EM) log likelihood = -27862.69
Iteration 32: (EM) log likelihood = -27862.729
Iteration 33: (EM) log likelihood = -27862.756
Fitting full model:
Iteration 0: log likelihood = -27726.887 (not concave)
Iteration 1: log likelihood = -27726.497 (not concave)
Iteration 2: log likelihood = -27726.095 (not concave)
Iteration 3: log likelihood = -27726.041 (not concave)
Iteration 4: log likelihood = -27726.027 (not concave)
Iteration 5: log likelihood = -27726.024 (not concave)
Iteration 6: log likelihood = -27726.022 (not concave)
Generalized structural equation model Number of obs = 3,789
Log likelihood = -27726.022
------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
1.C | (base outcome)
-------------+----------------------------------------------------------------
2.C |
_cons | 1.173222 .041256 28.44 0.000 1.092362 1.254083
------------------------------------------------------------------------------
Class : 1
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -13.3519 81.6266 -0.16 0.870 -173.3371 146.6333
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | 1.492874 .1077281 13.86 0.000 1.281731 1.704017
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 5.505564 1.013241 5.43 0.000 3.519649 7.491479
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 5.572969 1.013194 5.50 0.000 3.587145 7.558793
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 5.418794 1.013651 5.35 0.000 3.432075 7.405513
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 4.960469 1.015222 4.89 0.000 2.970671 6.950267
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 2.974082 1.037858 2.87 0.004 .939917 5.008247
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.726165 .0972504 17.75 0.000 1.535558 1.916773
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -1.204488 .18686 -6.45 0.000 -1.570727 -.8382496
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 22.79008 .0843718 270.11 0.000 22.62471 22.95544
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 21.46134 . . . . .
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.00123 .3451087 11.59 0.000 3.324829 4.67763
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.589265 .3514523 7.37 0.000 1.900431 3.278099
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | -15.08156 628.2401 -0.02 0.981 -1246.41 1216.246
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | -28.03078 354775.3 -0.00 1.000 -695374.9 695318.8
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | -22.04706 18632.39 -0.00 0.999 -36540.86 36496.77
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 4.56412 .5081166 8.98 0.000 3.56823 5.56001
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 3.519675 .5130212 6.86 0.000 2.514172 4.525178
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 3.356432 .5146577 6.52 0.000 2.347721 4.365142
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 3.394359 .5140329 6.60 0.000 2.386873 4.401845
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 3.664459 .5120269 7.16 0.000 2.660905 4.668013
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 2.234605 .4368861 5.11 0.000 1.378324 3.090886
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 4.604852 .4156877 11.08 0.000 3.790119 5.419585
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 3.493264 .4203761 8.31 0.000 2.669342 4.317186
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 2.192188 .4373778 5.01 0.000 1.334943 3.049433
--------------------------------------------------------------------------------------------
Class : 2
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | .6282469 .0404182 15.54 0.000 .5490287 .707465
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -31.50655 255358.5 -0.00 1.000 -500524.9 500461.9
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 1.449379 .269395 5.38 0.000 .9213748 1.977384
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 3.737282 .2451003 15.25 0.000 3.256894 4.217669
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 4.04427 .2443455 16.55 0.000 3.565361 4.523178
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 4.008394 .2444189 16.40 0.000 3.529341 4.487446
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 2.318848 .2538846 9.13 0.000 1.821243 2.816452
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.507032 .0495146 30.44 0.000 1.409985 1.604079
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -1.457889 .1032438 -14.12 0.000 -1.660243 -1.255535
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 4.88288 .2362744 20.67 0.000 4.419791 5.34597
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 3.306263 .2397302 13.79 0.000 2.836401 3.776126
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | -1.096455 .3747567 -2.93 0.003 -1.830964 -.361945
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.594529 .1256459 20.65 0.000 2.348268 2.84079
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.721422 .1252121 21.73 0.000 2.476011 2.966833
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.866446 .1299241 14.37 0.000 1.611799 2.121092
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.010057 .1404065 7.19 0.000 .7348655 1.285249
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 5.162876 .3778142 13.67 0.000 4.422374 5.903378
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 4.215477 .379514 11.11 0.000 3.471643 4.959311
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 4.139246 .3797558 10.90 0.000 3.394938 4.883554
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 3.79668 .3809792 9.97 0.000 3.049974 4.543385
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 4.089242 .3799093 10.76 0.000 3.344633 4.83385
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 3.983577 .3562424 11.18 0.000 3.285355 4.681799
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 5.231193 .3539097 14.78 0.000 4.537542 5.924843
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 4.713475 .3545551 13.29 0.000 4.01856 5.40839
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 1.748415 .3845173 4.55 0.000 .9947752 2.502055
--------------------------------------------------------------------------------------------
----------------------------------------------------------------------------
Fit statistic | Value Description
---------------------+------------------------------------------------------
Likelihood ratio |
chi2_ms(29109) | 5523.636 model vs. saturated
p > chi2 | 1.000
---------------------+------------------------------------------------------
Information criteria |
AIC | 55552.045 Akaike's information criterion
BIC | 55864.038 Bayesian information criterion
----------------------------------------------------------------------------
Entropy:
.9478192
(results lca_prueba_c1 are active now)
(results lca_prueba_c2 are active now)
LMR LT test statistic:
2785.8246
P value Lo-Mendel:
0.00000000000e+00
__00000B = 2785.8246
__00000A = 2898.5217
__00000D = 2
__00000C = 5
__000009 = 2
__000005 = 50
__000003 = -27726.022
__000008 = 1
__000004 = 25
__000002 = -29175.283
__000001 = 3789
scalars:
r(lmrt_p) = 0
r(lmrt) = 2785.824583026126
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4159.7367
Iteration 1: (class) log likelihood = -4159.7367
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29149.765
Iteration 1: (outcome) log likelihood = -29149.765
Refining starting values:
Iteration 0: (EM) log likelihood = -33296.521
Iteration 1: (EM) log likelihood = -33243.029
Iteration 2: (EM) log likelihood = -33068.037
Iteration 3: (EM) log likelihood = -32621.742
Iteration 4: (EM) log likelihood = -31833.469
Iteration 5: (EM) log likelihood = -30893.474
Iteration 6: (EM) log likelihood = -30145.071
Iteration 7: (EM) log likelihood = -29647.167
Iteration 8: (EM) log likelihood = -29321.54
Iteration 9: (EM) log likelihood = -29133.391
Iteration 10: (EM) log likelihood = -29034.295
Iteration 11: (EM) log likelihood = -28981.107
Iteration 12: (EM) log likelihood = -28950.233
Iteration 13: (EM) log likelihood = -28929.917
Iteration 14: (EM) log likelihood = -28914.918
Iteration 15: (EM) log likelihood = -28903.998
Iteration 16: (EM) log likelihood = -28895.474
Iteration 17: (EM) log likelihood = -28888.811
Iteration 18: (EM) log likelihood = -28883.334
Iteration 19: (EM) log likelihood = -28878.78
Iteration 20: (EM) log likelihood = -28874.661
Iteration 21: (EM) log likelihood = -28870.696
Iteration 22: (EM) log likelihood = -28866.542
Iteration 23: (EM) log likelihood = -28862.22
Iteration 24: (EM) log likelihood = -28857.495
Iteration 25: (EM) log likelihood = -28852.556
Iteration 26: (EM) log likelihood = -28847.053
Iteration 27: (EM) log likelihood = -28840.892
Iteration 28: (EM) log likelihood = -28834.35
Iteration 29: (EM) log likelihood = -28827.516
Iteration 30: (EM) log likelihood = -28820.335
Iteration 31: (EM) log likelihood = -28812.839
Iteration 32: (EM) log likelihood = -28805.179
Iteration 33: (EM) log likelihood = -28797.307
Iteration 34: (EM) log likelihood = -28789.129
Iteration 35: (EM) log likelihood = -28780.795
Iteration 36: (EM) log likelihood = -28772.304
Iteration 37: (EM) log likelihood = -28763.605
Iteration 38: (EM) log likelihood = -28754.715
Iteration 39: (EM) log likelihood = -28746.037
Iteration 40: (EM) log likelihood = -28736.912
Iteration 41: (EM) log likelihood = -28727.719
Iteration 42: (EM) log likelihood = -28718.494
Iteration 43: (EM) log likelihood = -28709.194
Iteration 44: (EM) log likelihood = -28700.409
Iteration 45: (EM) log likelihood = -28690.944
Iteration 46: (EM) log likelihood = -28681.505
Iteration 47: (EM) log likelihood = -28672.135
Iteration 48: (EM) log likelihood = -28662.632
Iteration 49: (EM) log likelihood = -28653.127
Iteration 50: (EM) log likelihood = -28643.497
Iteration 51: (EM) log likelihood = -28634.241
Iteration 52: (EM) log likelihood = -28624.749
Iteration 53: (EM) log likelihood = -28615.713
Iteration 54: (EM) log likelihood = -28606.315
Iteration 55: (EM) log likelihood = -28597.243
Iteration 56: (EM) log likelihood = -28588.115
Iteration 57: (EM) log likelihood = -28580.138
Iteration 58: (EM) log likelihood = -28571.291
Iteration 59: (EM) log likelihood = -28562.464
Iteration 60: (EM) log likelihood = -28553.783
Iteration 61: (EM) log likelihood = -28545.729
Iteration 62: (EM) log likelihood = -28537.587
Iteration 63: (EM) log likelihood = -28529.475
Iteration 64: (EM) log likelihood = -28521.415
Iteration 65: (EM) log likelihood = -28513.498
Iteration 66: (EM) log likelihood = -28505.73
Iteration 67: (EM) log likelihood = -28498.25
Iteration 68: (EM) log likelihood = -28490.882
Iteration 69: (EM) log likelihood = -28483.748
Iteration 70: (EM) log likelihood = -28476.784
Iteration 71: (EM) log likelihood = -28470.017
Iteration 72: (EM) log likelihood = -28463.016
Iteration 73: (EM) log likelihood = -28456.401
Iteration 74: (EM) log likelihood = -28450.172
Iteration 75: (EM) log likelihood = -28444.002
Iteration 76: (EM) log likelihood = -28438.063
Iteration 77: (EM) log likelihood = -28431.921
Iteration 78: (EM) log likelihood = -28426.289
Iteration 79: (EM) log likelihood = -28420.791
Iteration 80: (EM) log likelihood = -28415.295
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.6198
Iteration 1: (class) log likelihood = -4162.6198
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29149.342
Iteration 1: (outcome) log likelihood = -29149.342 (backed up)
Refining starting values:
Iteration 0: (EM) log likelihood = -33309.466
Iteration 1: (EM) log likelihood = -33300.387
Iteration 2: (EM) log likelihood = -33280.147
Iteration 3: (EM) log likelihood = -33237.113
Iteration 4: (EM) log likelihood = -33142.145
Iteration 5: (EM) log likelihood = -32927.926
Iteration 6: (EM) log likelihood = -32507.58
Iteration 7: (EM) log likelihood = -31904.263
Iteration 8: (EM) log likelihood = -31230.916
Iteration 9: (EM) log likelihood = -30564.729
Iteration 10: (EM) log likelihood = -29979.029
Iteration 11: (EM) log likelihood = -29508.818
Iteration 12: (EM) log likelihood = -29162.619
Iteration 13: (EM) log likelihood = -28923.51
Iteration 14: (EM) log likelihood = -28722.371
Iteration 15: (EM) log likelihood = -28535.382
Iteration 16: (EM) log likelihood = -28395.169
Iteration 17: (EM) log likelihood = -28296.769
Iteration 18: (EM) log likelihood = -28221.303
Iteration 19: (EM) log likelihood = -28157.713
Iteration 20: (EM) log likelihood = -28100.755
Iteration 21: (EM) log likelihood = -28049.342
Iteration 22: (EM) log likelihood = -28001.345
Iteration 23: (EM) log likelihood = -27958.072
Iteration 24: (EM) log likelihood = -27922.436
Iteration 25: (EM) log likelihood = -27891.848
Iteration 26: (EM) log likelihood = -27867.762
Iteration 27: (EM) log likelihood = -27847.892
Iteration 28: (EM) log likelihood = -27833.025
Iteration 29: (EM) log likelihood = -27821.071
Iteration 30: (EM) log likelihood = -27811.43
Iteration 31: (EM) log likelihood = -27803.214
Iteration 32: (EM) log likelihood = -27796.114
Iteration 33: (EM) log likelihood = -27789.911
Iteration 34: (EM) log likelihood = -27784.649
Iteration 35: (EM) log likelihood = -27780.014
Iteration 36: (EM) log likelihood = -27776.163
Iteration 37: (EM) log likelihood = -27772.787
Iteration 38: (EM) log likelihood = -27770.002
Iteration 39: (EM) log likelihood = -27767.711
Iteration 40: (EM) log likelihood = -27765.66
Iteration 41: (EM) log likelihood = -27763.952
Iteration 42: (EM) log likelihood = -27762.486
Iteration 43: (EM) log likelihood = -27761.17
Iteration 44: (EM) log likelihood = -27760.058
Iteration 45: (EM) log likelihood = -27759.073
Iteration 46: (EM) log likelihood = -27758.185
Iteration 47: (EM) log likelihood = -27757.41
Iteration 48: (EM) log likelihood = -27756.754
Iteration 49: (EM) log likelihood = -27756.111
Iteration 50: (EM) log likelihood = -27755.624
Iteration 51: (EM) log likelihood = -27755.193
Iteration 52: (EM) log likelihood = -27754.774
Iteration 53: (EM) log likelihood = -27754.41
Iteration 54: (EM) log likelihood = -27754.083
Iteration 55: (EM) log likelihood = -27753.804
Iteration 56: (EM) log likelihood = -27753.536
Iteration 57: (EM) log likelihood = -27753.329
Iteration 58: (EM) log likelihood = -27753.132
Iteration 59: (EM) log likelihood = -27752.956
Iteration 60: (EM) log likelihood = -27752.802
Iteration 61: (EM) log likelihood = -27752.677
Iteration 62: (EM) log likelihood = -27752.567
Iteration 63: (EM) log likelihood = -27752.474
Iteration 64: (EM) log likelihood = -27752.391
Iteration 65: (EM) log likelihood = -27752.333
Iteration 66: (EM) log likelihood = -27752.263
Iteration 67: (EM) log likelihood = -27752.203
Iteration 68: (EM) log likelihood = -27752.138
Iteration 69: (EM) log likelihood = -27752.105
Iteration 70: (EM) log likelihood = -27752.06
Iteration 71: (EM) log likelihood = -27752.027
Iteration 72: (EM) log likelihood = -27751.998
Iteration 73: (EM) log likelihood = -27751.969
Iteration 74: (EM) log likelihood = -27751.946
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.1245
Iteration 1: (class) log likelihood = -4162.1245
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29948.636
Iteration 1: (outcome) log likelihood = -29251.582
Iteration 2: (outcome) log likelihood = -29177.604
Iteration 3: (outcome) log likelihood = -29155.249
Iteration 4: (outcome) log likelihood = -29150.298
Iteration 5: (outcome) log likelihood = -29149.281
Iteration 6: (outcome) log likelihood = -29149.073
Iteration 7: (outcome) log likelihood = -29149.024
Iteration 8: (outcome) log likelihood = -29149.013
Iteration 9: (outcome) log likelihood = -29149.011
Iteration 10: (outcome) log likelihood = -29149.01
Iteration 11: (outcome) log likelihood = -29149.01
Iteration 12: (outcome) log likelihood = -29149.01
Refining starting values:
Iteration 0: (EM) log likelihood = -33306.494
Iteration 1: (EM) log likelihood = -33288.022
Iteration 2: (EM) log likelihood = -33226.839
Iteration 3: (EM) log likelihood = -33025.504
Iteration 4: (EM) log likelihood = -32480.932
Iteration 5: (EM) log likelihood = -31546.476
Iteration 6: (EM) log likelihood = -30628.253
Iteration 7: (EM) log likelihood = -30031.83
Iteration 8: (EM) log likelihood = -29659.874
Iteration 9: (EM) log likelihood = -29419.39
Iteration 10: (EM) log likelihood = -29262.652
Iteration 11: (EM) log likelihood = -29155.031
Iteration 12: (EM) log likelihood = -29076.981
Iteration 13: (EM) log likelihood = -29019.614
Iteration 14: (EM) log likelihood = -28978.913
Iteration 15: (EM) log likelihood = -28949.811
Iteration 16: (EM) log likelihood = -28929.645
Iteration 17: (EM) log likelihood = -28915.726
Iteration 18: (EM) log likelihood = -28905.309
Iteration 19: (EM) log likelihood = -28898.265
Iteration 20: (EM) log likelihood = -28892.766
Iteration 21: (EM) log likelihood = -28889.05
Iteration 22: (EM) log likelihood = -28884.719
Iteration 23: (EM) log likelihood = -28882.191
Iteration 24: (EM) log likelihood = -28878.634
Iteration 25: (EM) log likelihood = -28875.599
Iteration 26: (EM) log likelihood = -28872.562
Iteration 27: (EM) log likelihood = -28869.556
Iteration 28: (EM) log likelihood = -28866.894
Iteration 29: (EM) log likelihood = -28864.039
Iteration 30: (EM) log likelihood = -28860.774
Iteration 31: (EM) log likelihood = -28857.005
Iteration 32: (EM) log likelihood = -28852.859
Iteration 33: (EM) log likelihood = -28848.255
Iteration 34: (EM) log likelihood = -28843.644
Iteration 35: (EM) log likelihood = -28837.073
Iteration 36: (EM) log likelihood = -28831.105
Iteration 37: (EM) log likelihood = -28823.668
Iteration 38: (EM) log likelihood = -28815.916
Iteration 39: (EM) log likelihood = -28807.176
Iteration 40: (EM) log likelihood = -28798.122
Iteration 41: (EM) log likelihood = -28788.443
Iteration 42: (EM) log likelihood = -28778.435
Iteration 43: (EM) log likelihood = -28768.058
Iteration 44: (EM) log likelihood = -28758.092
Iteration 45: (EM) log likelihood = -28747.936
Iteration 46: (EM) log likelihood = -28737.623
Iteration 47: (EM) log likelihood = -28727.373
Iteration 48: (EM) log likelihood = -28717.235
Iteration 49: (EM) log likelihood = -28707.328
Iteration 50: (EM) log likelihood = -28697.566
Iteration 51: (EM) log likelihood = -28688.264
Iteration 52: (EM) log likelihood = -28678.851
Iteration 53: (EM) log likelihood = -28669.851
Iteration 54: (EM) log likelihood = -28661.149
Iteration 55: (EM) log likelihood = -28652.764
Iteration 56: (EM) log likelihood = -28644.506
Iteration 57: (EM) log likelihood = -28636.638
Iteration 58: (EM) log likelihood = -28629.039
Iteration 59: (EM) log likelihood = -28621.989
Iteration 60: (EM) log likelihood = -28614.798
Iteration 61: (EM) log likelihood = -28607.725
Iteration 62: (EM) log likelihood = -28600.813
Iteration 63: (EM) log likelihood = -28594.296
Iteration 64: (EM) log likelihood = -28588.318
Iteration 65: (EM) log likelihood = -28582.055
Iteration 66: (EM) log likelihood = -28576.271
Iteration 67: (EM) log likelihood = -28570.673
Iteration 68: (EM) log likelihood = -28565.354
Iteration 69: (EM) log likelihood = -28560.265
Iteration 70: (EM) log likelihood = -28555.337
Iteration 71: (EM) log likelihood = -28550.664
Iteration 72: (EM) log likelihood = -28546.162
Iteration 73: (EM) log likelihood = -28541.771
Iteration 74: (EM) log likelihood = -28537.463
Iteration 75: (EM) log likelihood = -28533.437
Iteration 76: (EM) log likelihood = -28529.581
Iteration 77: (EM) log likelihood = -28525.973
Iteration 78: (EM) log likelihood = -28522.034
Iteration 79: (EM) log likelihood = -28518.64
Iteration 80: (EM) log likelihood = -28515.419
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4159.2678
Iteration 1: (class) log likelihood = -4159.2678
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29148.67
Iteration 1: (outcome) log likelihood = -29148.67
Refining starting values:
Iteration 0: (EM) log likelihood = -33300.354
Iteration 1: (EM) log likelihood = -33263.533
Iteration 2: (EM) log likelihood = -33133.991
Iteration 3: (EM) log likelihood = -32768.47
Iteration 4: (EM) log likelihood = -32110.047
Iteration 5: (EM) log likelihood = -31373.666
Iteration 6: (EM) log likelihood = -30733.504
Iteration 7: (EM) log likelihood = -30204.173
Iteration 8: (EM) log likelihood = -29754.88
Iteration 9: (EM) log likelihood = -29376.125
Iteration 10: (EM) log likelihood = -29081.34
Iteration 11: (EM) log likelihood = -28884.894
Iteration 12: (EM) log likelihood = -28778.3
Iteration 13: (EM) log likelihood = -28728.651
Iteration 14: (EM) log likelihood = -28707.901
Iteration 15: (EM) log likelihood = -28700.444
Iteration 16: (EM) log likelihood = -28698.986
Iteration 17: (EM) log likelihood = -28700.99
Iteration 18: (EM) log likelihood = -28704.847
Iteration 19: (EM) log likelihood = -28709.383
Iteration 20: (EM) log likelihood = -28712.493
Iteration 21: (EM) log likelihood = -28714.924
Iteration 22: (EM) log likelihood = -28716.607
Iteration 23: (EM) log likelihood = -28717.581
Iteration 24: (EM) log likelihood = -28717.28
Iteration 25: (EM) log likelihood = -28716.502
Iteration 26: (EM) log likelihood = -28715.932
Iteration 27: (EM) log likelihood = -28715.481
Iteration 28: (EM) log likelihood = -28714.933
Iteration 29: (EM) log likelihood = -28714.392
Iteration 30: (EM) log likelihood = -28713.819
Iteration 31: (EM) log likelihood = -28713.153
Iteration 32: (EM) log likelihood = -28712.723
Iteration 33: (EM) log likelihood = -28712.273
Iteration 34: (EM) log likelihood = -28712.205
Iteration 35: (EM) log likelihood = -28712.426
Iteration 36: (EM) log likelihood = -28713.22
Iteration 37: (EM) log likelihood = -28714.008
Iteration 38: (EM) log likelihood = -28715.477
Iteration 39: (EM) log likelihood = -28716.664
Iteration 40: (EM) log likelihood = -28718.1
Iteration 41: (EM) log likelihood = -28720.262
Iteration 42: (EM) log likelihood = -28722.177
Iteration 43: (EM) log likelihood = -28724.441
Iteration 44: (EM) log likelihood = -28726.877
Iteration 45: (EM) log likelihood = -28729.443
Iteration 46: (EM) log likelihood = -28732.112
Iteration 47: (EM) log likelihood = -28734.85
Iteration 48: (EM) log likelihood = -28737.698
Iteration 49: (EM) log likelihood = -28740.461
Iteration 50: (EM) log likelihood = -28743.442
Iteration 51: (EM) log likelihood = -28746.152
Iteration 52: (EM) log likelihood = -28748.867
Iteration 53: (EM) log likelihood = -28751.484
Iteration 54: (EM) log likelihood = -28754.331
Iteration 55: (EM) log likelihood = -28756.954
Iteration 56: (EM) log likelihood = -28759.636
Iteration 57: (EM) log likelihood = -28764.378
Iteration 58: (EM) log likelihood = -28766.433
Iteration 59: (EM) log likelihood = -28769.722
Iteration 60: (EM) log likelihood = -28771.781
Iteration 61: (EM) log likelihood = -28774.231
Iteration 62: (EM) log likelihood = -28776.712
Iteration 63: (EM) log likelihood = -28778.983
Iteration 64: (EM) log likelihood = -28781.286
Iteration 65: (EM) log likelihood = -28783.679
Iteration 66: (EM) log likelihood = -28785.85
Iteration 67: (EM) log likelihood = -28787.414
Iteration 68: (EM) log likelihood = -28790.605
Iteration 69: (EM) log likelihood = -28793.216
Iteration 70: (EM) log likelihood = -28795.18
Iteration 71: (EM) log likelihood = -28797.184
Iteration 72: (EM) log likelihood = -28799.154
Iteration 73: (EM) log likelihood = -28801.258
Iteration 74: (EM) log likelihood = -28803.295
Iteration 75: (EM) log likelihood = -28805.041
Iteration 76: (EM) log likelihood = -28806.931
Iteration 77: (EM) log likelihood = -28808.278
Iteration 78: (EM) log likelihood = -28810.123
Iteration 79: (EM) log likelihood = -28811.43
Iteration 80: (EM) log likelihood = -28813.124
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.5368
Iteration 1: (class) log likelihood = -4162.5368
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29153.809
Iteration 1: (outcome) log likelihood = -29153.809
Refining starting values:
Iteration 0: (EM) log likelihood = -33307.68
Iteration 1: (EM) log likelihood = -33285.581
Iteration 2: (EM) log likelihood = -33232.717
Iteration 3: (EM) log likelihood = -33101.8
Iteration 4: (EM) log likelihood = -32785.402
Iteration 5: (EM) log likelihood = -32176.525
Iteration 6: (EM) log likelihood = -31404.901
Iteration 7: (EM) log likelihood = -30700.135
Iteration 8: (EM) log likelihood = -30145.114
Iteration 9: (EM) log likelihood = -29715.342
Iteration 10: (EM) log likelihood = -29371.176
Iteration 11: (EM) log likelihood = -29089.777
Iteration 12: (EM) log likelihood = -28849.584
Iteration 13: (EM) log likelihood = -28665.836
Iteration 14: (EM) log likelihood = -28545.291
Iteration 15: (EM) log likelihood = -28466.597
Iteration 16: (EM) log likelihood = -28409.575
Iteration 17: (EM) log likelihood = -28367.318
Iteration 18: (EM) log likelihood = -28332.478
Iteration 19: (EM) log likelihood = -28304.156
Iteration 20: (EM) log likelihood = -28278.57
Iteration 21: (EM) log likelihood = -28257.127
Iteration 22: (EM) log likelihood = -28239.096
Iteration 23: (EM) log likelihood = -28224.107
Iteration 24: (EM) log likelihood = -28211.778
Iteration 25: (EM) log likelihood = -28200.502
Iteration 26: (EM) log likelihood = -28190.72
Iteration 27: (EM) log likelihood = -28179.688
Iteration 28: (EM) log likelihood = -28167.972
Iteration 29: (EM) log likelihood = -28157.34
Iteration 30: (EM) log likelihood = -28149.727
Iteration 31: (EM) log likelihood = -28143.833
Iteration 32: (EM) log likelihood = -28139.04
Iteration 33: (EM) log likelihood = -28134.06
Iteration 34: (EM) log likelihood = -28130.2
Iteration 35: (EM) log likelihood = -28125.697
Iteration 36: (EM) log likelihood = -28123.092
Iteration 37: (EM) log likelihood = -28119.624
Iteration 38: (EM) log likelihood = -28117.484
Iteration 39: (EM) log likelihood = -28115.287
Iteration 40: (EM) log likelihood = -28113.618
Iteration 41: (EM) log likelihood = -28110.806
Iteration 42: (EM) log likelihood = -28107.787
Iteration 43: (EM) log likelihood = -28104.559
Iteration 44: (EM) log likelihood = -28101.222
Iteration 45: (EM) log likelihood = -28097.405
Iteration 46: (EM) log likelihood = -28093.611
Iteration 47: (EM) log likelihood = -28089.736
Iteration 48: (EM) log likelihood = -28085.41
Iteration 49: (EM) log likelihood = -28080.907
Iteration 50: (EM) log likelihood = -28076.453
Iteration 51: (EM) log likelihood = -28071.705
Iteration 52: (EM) log likelihood = -28066.948
Iteration 53: (EM) log likelihood = -28062.186
Iteration 54: (EM) log likelihood = -28057.603
Iteration 55: (EM) log likelihood = -28053.102
Iteration 56: (EM) log likelihood = -28047.973
Iteration 57: (EM) log likelihood = -28043.448
Iteration 58: (EM) log likelihood = -28038.86
Iteration 59: (EM) log likelihood = -28033.807
Iteration 60: (EM) log likelihood = -28028.916
Iteration 61: (EM) log likelihood = -28024.597
Iteration 62: (EM) log likelihood = -28019.745
Iteration 63: (EM) log likelihood = -28014.991
Iteration 64: (EM) log likelihood = -28011.806
Iteration 65: (EM) log likelihood = -28006.734
Iteration 66: (EM) log likelihood = -28002.343
Iteration 67: (EM) log likelihood = -27997.133
Iteration 68: (EM) log likelihood = -27993.255
Iteration 69: (EM) log likelihood = -27989.064
Iteration 70: (EM) log likelihood = -27984.859
Iteration 71: (EM) log likelihood = -27980.726
Iteration 72: (EM) log likelihood = -27975.552
Iteration 73: (EM) log likelihood = -27971.337
Iteration 74: (EM) log likelihood = -27967.656
Iteration 75: (EM) log likelihood = -27963.783
Iteration 76: (EM) log likelihood = -27959.733
Iteration 77: (EM) log likelihood = -27956.137
Iteration 78: (EM) log likelihood = -27952.662
Iteration 79: (EM) log likelihood = -27949.277
Iteration 80: (EM) log likelihood = -27945.486
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.3254
Iteration 1: (class) log likelihood = -4162.3254
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29152.317
Iteration 1: (outcome) log likelihood = -29152.317
Refining starting values:
Iteration 0: (EM) log likelihood = -33312.823
Iteration 1: (EM) log likelihood = -33296.692
Iteration 2: (EM) log likelihood = -33241.208
Iteration 3: (EM) log likelihood = -33049.936
Iteration 4: (EM) log likelihood = -32475.742
Iteration 5: (EM) log likelihood = -31481.856
Iteration 6: (EM) log likelihood = -30591.791
Iteration 7: (EM) log likelihood = -29953.462
Iteration 8: (EM) log likelihood = -29472.511
Iteration 9: (EM) log likelihood = -29156.242
Iteration 10: (EM) log likelihood = -28983.823
Iteration 11: (EM) log likelihood = -28895.941
Iteration 12: (EM) log likelihood = -28848.426
Iteration 13: (EM) log likelihood = -28818.934
Iteration 14: (EM) log likelihood = -28797.431
Iteration 15: (EM) log likelihood = -28779.581
Iteration 16: (EM) log likelihood = -28763.544
Iteration 17: (EM) log likelihood = -28748.48
Iteration 18: (EM) log likelihood = -28734.228
Iteration 19: (EM) log likelihood = -28720.506
Iteration 20: (EM) log likelihood = -28707.41
Iteration 21: (EM) log likelihood = -28694.718
Iteration 22: (EM) log likelihood = -28682.591
Iteration 23: (EM) log likelihood = -28670.282
Iteration 24: (EM) log likelihood = -28657.82
Iteration 25: (EM) log likelihood = -28646.538
Iteration 26: (EM) log likelihood = -28635.485
Iteration 27: (EM) log likelihood = -28624.814
Iteration 28: (EM) log likelihood = -28614.177
Iteration 29: (EM) log likelihood = -28604.046
Iteration 30: (EM) log likelihood = -28593.982
Iteration 31: (EM) log likelihood = -28584.165
Iteration 32: (EM) log likelihood = -28574.591
Iteration 33: (EM) log likelihood = -28565.317
Iteration 34: (EM) log likelihood = -28556.191
Iteration 35: (EM) log likelihood = -28547.271
Iteration 36: (EM) log likelihood = -28538.534
Iteration 37: (EM) log likelihood = -28530.419
Iteration 38: (EM) log likelihood = -28521.122
Iteration 39: (EM) log likelihood = -28512.745
Iteration 40: (EM) log likelihood = -28504.674
Iteration 41: (EM) log likelihood = -28496.805
Iteration 42: (EM) log likelihood = -28489.179
Iteration 43: (EM) log likelihood = -28481.707
Iteration 44: (EM) log likelihood = -28474.51
Iteration 45: (EM) log likelihood = -28467.541
Iteration 46: (EM) log likelihood = -28460.735
Iteration 47: (EM) log likelihood = -28453.748
Iteration 48: (EM) log likelihood = -28446.985
Iteration 49: (EM) log likelihood = -28440.737
Iteration 50: (EM) log likelihood = -28434.892
Iteration 51: (EM) log likelihood = -28428.801
Iteration 52: (EM) log likelihood = -28422.845
Iteration 53: (EM) log likelihood = -28417.311
Iteration 54: (EM) log likelihood = -28411.728
Iteration 55: (EM) log likelihood = -28406.194
Iteration 56: (EM) log likelihood = -28400.841
Iteration 57: (EM) log likelihood = -28395.737
Iteration 58: (EM) log likelihood = -28390.672
Iteration 59: (EM) log likelihood = -28385.525
Iteration 60: (EM) log likelihood = -28380.786
Iteration 61: (EM) log likelihood = -28376.167
Iteration 62: (EM) log likelihood = -28371.496
Iteration 63: (EM) log likelihood = -28367.207
Iteration 64: (EM) log likelihood = -28362.848
Iteration 65: (EM) log likelihood = -28358.585
Iteration 66: (EM) log likelihood = -28354.112
Iteration 67: (EM) log likelihood = -28350.236
Iteration 68: (EM) log likelihood = -28346.263
Iteration 69: (EM) log likelihood = -28342.216
Iteration 70: (EM) log likelihood = -28338.321
Iteration 71: (EM) log likelihood = -28334.173
Iteration 72: (EM) log likelihood = -28330.431
Iteration 73: (EM) log likelihood = -28326.834
Iteration 74: (EM) log likelihood = -28323.291
Iteration 75: (EM) log likelihood = -28319.831
Iteration 76: (EM) log likelihood = -28316.446
Iteration 77: (EM) log likelihood = -28313.148
Iteration 78: (EM) log likelihood = -28310.132
Iteration 79: (EM) log likelihood = -28307.005
Iteration 80: (EM) log likelihood = -28304.278
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4160.9753
Iteration 1: (class) log likelihood = -4160.9753
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29147.999
Iteration 1: (outcome) log likelihood = -29147.999
Refining starting values:
Iteration 0: (EM) log likelihood = -33300.525
Iteration 1: (EM) log likelihood = -33275.407
Iteration 2: (EM) log likelihood = -33208.453
Iteration 3: (EM) log likelihood = -33028.555
Iteration 4: (EM) log likelihood = -32610.657
Iteration 5: (EM) log likelihood = -31972.701
Iteration 6: (EM) log likelihood = -31364.114
Iteration 7: (EM) log likelihood = -30880.798
Iteration 8: (EM) log likelihood = -30476.219
Iteration 9: (EM) log likelihood = -30113.373
Iteration 10: (EM) log likelihood = -29784.203
Iteration 11: (EM) log likelihood = -29490.417
Iteration 12: (EM) log likelihood = -29237.3
Iteration 13: (EM) log likelihood = -29010.913
Iteration 14: (EM) log likelihood = -28832.105
Iteration 15: (EM) log likelihood = -28734.948
Iteration 16: (EM) log likelihood = -28688.994
Iteration 17: (EM) log likelihood = -28660.731
Iteration 18: (EM) log likelihood = -28635.127
Iteration 19: (EM) log likelihood = -28607.111
Iteration 20: (EM) log likelihood = -28575.89
Iteration 21: (EM) log likelihood = -28541.71
Iteration 22: (EM) log likelihood = -28506.548
Iteration 23: (EM) log likelihood = -28471.197
Iteration 24: (EM) log likelihood = -28437.055
Iteration 25: (EM) log likelihood = -28404.274
Iteration 26: (EM) log likelihood = -28376.204
Iteration 27: (EM) log likelihood = -28349.525
Iteration 28: (EM) log likelihood = -28327.827
Iteration 29: (EM) log likelihood = -28309.026
Iteration 30: (EM) log likelihood = -28292.859
Iteration 31: (EM) log likelihood = -28279.139
Iteration 32: (EM) log likelihood = -28267.77
Iteration 33: (EM) log likelihood = -28257.805
Iteration 34: (EM) log likelihood = -28250.459
Iteration 35: (EM) log likelihood = -28242.974
Iteration 36: (EM) log likelihood = -28236.623
Iteration 37: (EM) log likelihood = -28231.162
Iteration 38: (EM) log likelihood = -28226.167
Iteration 39: (EM) log likelihood = -28221.59
Iteration 40: (EM) log likelihood = -28217.705
Iteration 41: (EM) log likelihood = -28214.231
Iteration 42: (EM) log likelihood = -28211.398
Iteration 43: (EM) log likelihood = -28208.828
Iteration 44: (EM) log likelihood = -28206.519
Iteration 45: (EM) log likelihood = -28204.448
Iteration 46: (EM) log likelihood = -28202.323
Iteration 47: (EM) log likelihood = -28200.38
Iteration 48: (EM) log likelihood = -28198.576
Iteration 49: (EM) log likelihood = -28196.788
Iteration 50: (EM) log likelihood = -28195.342
Iteration 51: (EM) log likelihood = -28193.63
Iteration 52: (EM) log likelihood = -28191.974
Iteration 53: (EM) log likelihood = -28190.395
Iteration 54: (EM) log likelihood = -28188.742
Iteration 55: (EM) log likelihood = -28187.229
Iteration 56: (EM) log likelihood = -28185.71
Iteration 57: (EM) log likelihood = -28184.285
Iteration 58: (EM) log likelihood = -28182.772
Iteration 59: (EM) log likelihood = -28181.291
Iteration 60: (EM) log likelihood = -28179.856
Iteration 61: (EM) log likelihood = -28178.45
Iteration 62: (EM) log likelihood = -28177.067
Iteration 63: (EM) log likelihood = -28175.843
Iteration 64: (EM) log likelihood = -28174.397
Iteration 65: (EM) log likelihood = -28173.072
Iteration 66: (EM) log likelihood = -28172.243
Iteration 67: (EM) log likelihood = -28170.566
Iteration 68: (EM) log likelihood = -28169.276
Iteration 69: (EM) log likelihood = -28168.108
Iteration 70: (EM) log likelihood = -28167.008
Iteration 71: (EM) log likelihood = -28165.947
Iteration 72: (EM) log likelihood = -28164.919
Iteration 73: (EM) log likelihood = -28163.923
Iteration 74: (EM) log likelihood = -28162.943
Iteration 75: (EM) log likelihood = -28161.989
Iteration 76: (EM) log likelihood = -28161.075
Iteration 77: (EM) log likelihood = -28160.193
Iteration 78: (EM) log likelihood = -28159.545
Iteration 79: (EM) log likelihood = -28158.751
Iteration 80: (EM) log likelihood = -28157.915
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.7244
Iteration 1: (class) log likelihood = -4161.7244
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29155.819
Iteration 1: (outcome) log likelihood = -29155.819
Refining starting values:
Iteration 0: (EM) log likelihood = -33314.131
Iteration 1: (EM) log likelihood = -33289.751
Iteration 2: (EM) log likelihood = -33202.039
Iteration 3: (EM) log likelihood = -32943.594
Iteration 4: (EM) log likelihood = -32409.98
Iteration 5: (EM) log likelihood = -31674.968
Iteration 6: (EM) log likelihood = -30935.255
Iteration 7: (EM) log likelihood = -30350.069
Iteration 8: (EM) log likelihood = -29918.097
Iteration 9: (EM) log likelihood = -29582.482
Iteration 10: (EM) log likelihood = -29341.392
Iteration 11: (EM) log likelihood = -29186.234
Iteration 12: (EM) log likelihood = -29086.595
Iteration 13: (EM) log likelihood = -29021.67
Iteration 14: (EM) log likelihood = -28978.849
Iteration 15: (EM) log likelihood = -28949.868
Iteration 16: (EM) log likelihood = -28929.86
Iteration 17: (EM) log likelihood = -28915.997
Iteration 18: (EM) log likelihood = -28907.082
Iteration 19: (EM) log likelihood = -28901.598
Iteration 20: (EM) log likelihood = -28898.571
Iteration 21: (EM) log likelihood = -28896.499
Iteration 22: (EM) log likelihood = -28895.424
Iteration 23: (EM) log likelihood = -28894.972
Iteration 24: (EM) log likelihood = -28894.421
Iteration 25: (EM) log likelihood = -28894.227
Iteration 26: (EM) log likelihood = -28893.413
Iteration 27: (EM) log likelihood = -28892.367
Iteration 28: (EM) log likelihood = -28890.802
Iteration 29: (EM) log likelihood = -28888.556
Iteration 30: (EM) log likelihood = -28885.569
Iteration 31: (EM) log likelihood = -28881.591
Iteration 32: (EM) log likelihood = -28876.266
Iteration 33: (EM) log likelihood = -28869.611
Iteration 34: (EM) log likelihood = -28861.396
Iteration 35: (EM) log likelihood = -28851.552
Iteration 36: (EM) log likelihood = -28839.785
Iteration 37: (EM) log likelihood = -28825.867
Iteration 38: (EM) log likelihood = -28809.479
Iteration 39: (EM) log likelihood = -28791.251
Iteration 40: (EM) log likelihood = -28770.565
Iteration 41: (EM) log likelihood = -28748.139
Iteration 42: (EM) log likelihood = -28723.51
Iteration 43: (EM) log likelihood = -28698.066
Iteration 44: (EM) log likelihood = -28670.959
Iteration 45: (EM) log likelihood = -28644.466
Iteration 46: (EM) log likelihood = -28617.319
Iteration 47: (EM) log likelihood = -28590.08
Iteration 48: (EM) log likelihood = -28562.47
Iteration 49: (EM) log likelihood = -28536.21
Iteration 50: (EM) log likelihood = -28510.326
Iteration 51: (EM) log likelihood = -28485.108
Iteration 52: (EM) log likelihood = -28460.447
Iteration 53: (EM) log likelihood = -28437.403
Iteration 54: (EM) log likelihood = -28414.935
Iteration 55: (EM) log likelihood = -28393.754
Iteration 56: (EM) log likelihood = -28373.592
Iteration 57: (EM) log likelihood = -28354.524
Iteration 58: (EM) log likelihood = -28336.869
Iteration 59: (EM) log likelihood = -28320.541
Iteration 60: (EM) log likelihood = -28305.477
Iteration 61: (EM) log likelihood = -28291.665
Iteration 62: (EM) log likelihood = -28278.654
Iteration 63: (EM) log likelihood = -28266.77
Iteration 64: (EM) log likelihood = -28255.888
Iteration 65: (EM) log likelihood = -28245.984
Iteration 66: (EM) log likelihood = -28236.974
Iteration 67: (EM) log likelihood = -28229.095
Iteration 68: (EM) log likelihood = -28219.717
Iteration 69: (EM) log likelihood = -28212.85
Iteration 70: (EM) log likelihood = -28206.845
Iteration 71: (EM) log likelihood = -28201.631
Iteration 72: (EM) log likelihood = -28196.935
Iteration 73: (EM) log likelihood = -28192.709
Iteration 74: (EM) log likelihood = -28188.952
Iteration 75: (EM) log likelihood = -28185.648
Iteration 76: (EM) log likelihood = -28182.714
Iteration 77: (EM) log likelihood = -28180.105
Iteration 78: (EM) log likelihood = -28177.76
Iteration 79: (EM) log likelihood = -28175.701
Iteration 80: (EM) log likelihood = -28173.888
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.042
Iteration 1: (class) log likelihood = -4162.042
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29157.702
Iteration 1: (outcome) log likelihood = -29157.702
Refining starting values:
Iteration 0: (EM) log likelihood = -33309.992
Iteration 1: (EM) log likelihood = -33270.177
Iteration 2: (EM) log likelihood = -33137.183
Iteration 3: (EM) log likelihood = -32782.128
Iteration 4: (EM) log likelihood = -32161.743
Iteration 5: (EM) log likelihood = -31445.291
Iteration 6: (EM) log likelihood = -30784.048
Iteration 7: (EM) log likelihood = -30224.523
Iteration 8: (EM) log likelihood = -29763.509
Iteration 9: (EM) log likelihood = -29390.856
Iteration 10: (EM) log likelihood = -29104.539
Iteration 11: (EM) log likelihood = -28915.853
Iteration 12: (EM) log likelihood = -28819.889
Iteration 13: (EM) log likelihood = -28781.771
Iteration 14: (EM) log likelihood = -28766.381
Iteration 15: (EM) log likelihood = -28756.284
Iteration 16: (EM) log likelihood = -28751.783
Iteration 17: (EM) log likelihood = -28751.217
Iteration 18: (EM) log likelihood = -28752.23
Iteration 19: (EM) log likelihood = -28755.11
Iteration 20: (EM) log likelihood = -28757.946
Iteration 21: (EM) log likelihood = -28760.669
Iteration 22: (EM) log likelihood = -28762.954
Iteration 23: (EM) log likelihood = -28765.492
Iteration 24: (EM) log likelihood = -28767.507
Iteration 25: (EM) log likelihood = -28769.409
Iteration 26: (EM) log likelihood = -28771.063
Iteration 27: (EM) log likelihood = -28772.642
Iteration 28: (EM) log likelihood = -28774.175
Iteration 29: (EM) log likelihood = -28775.2
Iteration 30: (EM) log likelihood = -28776.716
Iteration 31: (EM) log likelihood = -28778.046
Iteration 32: (EM) log likelihood = -28779.635
Iteration 33: (EM) log likelihood = -28781.114
Iteration 34: (EM) log likelihood = -28782.637
Iteration 35: (EM) log likelihood = -28784.575
Iteration 36: (EM) log likelihood = -28786.208
Iteration 37: (EM) log likelihood = -28788.433
Iteration 38: (EM) log likelihood = -28789.963
Iteration 39: (EM) log likelihood = -28791.526
Iteration 40: (EM) log likelihood = -28793.098
Iteration 41: (EM) log likelihood = -28794.902
Iteration 42: (EM) log likelihood = -28796.394
Iteration 43: (EM) log likelihood = -28798.422
Iteration 44: (EM) log likelihood = -28800.68
Iteration 45: (EM) log likelihood = -28802.228
Iteration 46: (EM) log likelihood = -28804.225
Iteration 47: (EM) log likelihood = -28805.966
Iteration 48: (EM) log likelihood = -28807.92
Iteration 49: (EM) log likelihood = -28809.532
Iteration 50: (EM) log likelihood = -28811.254
Iteration 51: (EM) log likelihood = -28812.943
Iteration 52: (EM) log likelihood = -28814.498
Iteration 53: (EM) log likelihood = -28816.286
Iteration 54: (EM) log likelihood = -28817.649
Iteration 55: (EM) log likelihood = -28818.858
Iteration 56: (EM) log likelihood = -28820.337
Iteration 57: (EM) log likelihood = -28821.253
Iteration 58: (EM) log likelihood = -28822.014
Iteration 59: (EM) log likelihood = -28822.82
Iteration 60: (EM) log likelihood = -28823.091
Iteration 61: (EM) log likelihood = -28823.429
Iteration 62: (EM) log likelihood = -28823.023
Iteration 63: (EM) log likelihood = -28822.554
Iteration 64: (EM) log likelihood = -28821.515
Iteration 65: (EM) log likelihood = -28820.145
Iteration 66: (EM) log likelihood = -28817.957
Iteration 67: (EM) log likelihood = -28814.42
Iteration 68: (EM) log likelihood = -28810.709
Iteration 69: (EM) log likelihood = -28806.649
Iteration 70: (EM) log likelihood = -28801.483
Iteration 71: (EM) log likelihood = -28795.068
Iteration 72: (EM) log likelihood = -28787.738
Iteration 73: (EM) log likelihood = -28779.335
Iteration 74: (EM) log likelihood = -28770.08
Iteration 75: (EM) log likelihood = -28759.91
Iteration 76: (EM) log likelihood = -28749.05
Iteration 77: (EM) log likelihood = -28737.641
Iteration 78: (EM) log likelihood = -28725.994
Iteration 79: (EM) log likelihood = -28713.994
Iteration 80: (EM) log likelihood = -28701.938
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.5711
Iteration 1: (class) log likelihood = -4161.5711
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29147.179
Iteration 1: (outcome) log likelihood = -29147.179
Refining starting values:
Iteration 0: (EM) log likelihood = -33297.399
Iteration 1: (EM) log likelihood = -33256.207
Iteration 2: (EM) log likelihood = -33116.63
Iteration 3: (EM) log likelihood = -32727.121
Iteration 4: (EM) log likelihood = -31995.974
Iteration 5: (EM) log likelihood = -31113.65
Iteration 6: (EM) log likelihood = -30379.144
Iteration 7: (EM) log likelihood = -29842.865
Iteration 8: (EM) log likelihood = -29447.868
Iteration 9: (EM) log likelihood = -29183.032
Iteration 10: (EM) log likelihood = -29030.143
Iteration 11: (EM) log likelihood = -28948.169
Iteration 12: (EM) log likelihood = -28905.358
Iteration 13: (EM) log likelihood = -28883.212
Iteration 14: (EM) log likelihood = -28871.96
Iteration 15: (EM) log likelihood = -28866.534
Iteration 16: (EM) log likelihood = -28864.167
Iteration 17: (EM) log likelihood = -28863.757
Iteration 18: (EM) log likelihood = -28864.395
Iteration 19: (EM) log likelihood = -28865.72
Iteration 20: (EM) log likelihood = -28867.158
Iteration 21: (EM) log likelihood = -28868.946
Iteration 22: (EM) log likelihood = -28870.515
Iteration 23: (EM) log likelihood = -28872.269
Iteration 24: (EM) log likelihood = -28873.917
Iteration 25: (EM) log likelihood = -28875.207
Iteration 26: (EM) log likelihood = -28876.471
Iteration 27: (EM) log likelihood = -28877.458
Iteration 28: (EM) log likelihood = -28878.219
Iteration 29: (EM) log likelihood = -28878.707
Iteration 30: (EM) log likelihood = -28879.084
Iteration 31: (EM) log likelihood = -28879.222
Iteration 32: (EM) log likelihood = -28879.049
Iteration 33: (EM) log likelihood = -28878.616
Iteration 34: (EM) log likelihood = -28877.843
Iteration 35: (EM) log likelihood = -28876.867
Iteration 36: (EM) log likelihood = -28875.446
Iteration 37: (EM) log likelihood = -28873.866
Iteration 38: (EM) log likelihood = -28871.759
Iteration 39: (EM) log likelihood = -28869.384
Iteration 40: (EM) log likelihood = -28866.377
Iteration 41: (EM) log likelihood = -28863.043
Iteration 42: (EM) log likelihood = -28859.118
Iteration 43: (EM) log likelihood = -28854.543
Iteration 44: (EM) log likelihood = -28849.431
Iteration 45: (EM) log likelihood = -28843.532
Iteration 46: (EM) log likelihood = -28836.889
Iteration 47: (EM) log likelihood = -28829.406
Iteration 48: (EM) log likelihood = -28820.634
Iteration 49: (EM) log likelihood = -28811.122
Iteration 50: (EM) log likelihood = -28800.681
Iteration 51: (EM) log likelihood = -28789.113
Iteration 52: (EM) log likelihood = -28776.439
Iteration 53: (EM) log likelihood = -28763.113
Iteration 54: (EM) log likelihood = -28748.42
Iteration 55: (EM) log likelihood = -28732.918
Iteration 56: (EM) log likelihood = -28716.563
Iteration 57: (EM) log likelihood = -28699.753
Iteration 58: (EM) log likelihood = -28682.194
Iteration 59: (EM) log likelihood = -28663.828
Iteration 60: (EM) log likelihood = -28645.623
Iteration 61: (EM) log likelihood = -28627.289
Iteration 62: (EM) log likelihood = -28608.97
Iteration 63: (EM) log likelihood = -28590.118
Iteration 64: (EM) log likelihood = -28570.886
Iteration 65: (EM) log likelihood = -28551.526
Iteration 66: (EM) log likelihood = -28532.062
Iteration 67: (EM) log likelihood = -28512.449
Iteration 68: (EM) log likelihood = -28494.426
Iteration 69: (EM) log likelihood = -28474.71
Iteration 70: (EM) log likelihood = -28454.918
Iteration 71: (EM) log likelihood = -28436.083
Iteration 72: (EM) log likelihood = -28417.832
Iteration 73: (EM) log likelihood = -28400.094
Iteration 74: (EM) log likelihood = -28383.087
Iteration 75: (EM) log likelihood = -28366.5
Iteration 76: (EM) log likelihood = -28350.8
Iteration 77: (EM) log likelihood = -28335.657
Iteration 78: (EM) log likelihood = -28321.192
Iteration 79: (EM) log likelihood = -28307.559
Iteration 80: (EM) log likelihood = -28294.639
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4159.2423
Iteration 1: (class) log likelihood = -4159.2423
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29151.315
Iteration 1: (outcome) log likelihood = -29151.315
Refining starting values:
Iteration 0: (EM) log likelihood = -33302.736
Iteration 1: (EM) log likelihood = -33272.153
Iteration 2: (EM) log likelihood = -33168.727
Iteration 3: (EM) log likelihood = -32834.255
Iteration 4: (EM) log likelihood = -32051.394
Iteration 5: (EM) log likelihood = -31048.423
Iteration 6: (EM) log likelihood = -30241.096
Iteration 7: (EM) log likelihood = -29670.73
Iteration 8: (EM) log likelihood = -29274.606
Iteration 9: (EM) log likelihood = -29029.441
Iteration 10: (EM) log likelihood = -28896.691
Iteration 11: (EM) log likelihood = -28825.064
Iteration 12: (EM) log likelihood = -28782.465
Iteration 13: (EM) log likelihood = -28753.514
Iteration 14: (EM) log likelihood = -28730.87
Iteration 15: (EM) log likelihood = -28712.008
Iteration 16: (EM) log likelihood = -28695.351
Iteration 17: (EM) log likelihood = -28680.332
Iteration 18: (EM) log likelihood = -28666.305
Iteration 19: (EM) log likelihood = -28653.186
Iteration 20: (EM) log likelihood = -28640.717
Iteration 21: (EM) log likelihood = -28628.506
Iteration 22: (EM) log likelihood = -28617.135
Iteration 23: (EM) log likelihood = -28606.064
Iteration 24: (EM) log likelihood = -28595.22
Iteration 25: (EM) log likelihood = -28585.005
Iteration 26: (EM) log likelihood = -28575.011
Iteration 27: (EM) log likelihood = -28564.974
Iteration 28: (EM) log likelihood = -28555.193
Iteration 29: (EM) log likelihood = -28545.925
Iteration 30: (EM) log likelihood = -28536.602
Iteration 31: (EM) log likelihood = -28527.783
Iteration 32: (EM) log likelihood = -28518.899
Iteration 33: (EM) log likelihood = -28510.395
Iteration 34: (EM) log likelihood = -28502.2
Iteration 35: (EM) log likelihood = -28494.261
Iteration 36: (EM) log likelihood = -28486.524
Iteration 37: (EM) log likelihood = -28478.034
Iteration 38: (EM) log likelihood = -28470.473
Iteration 39: (EM) log likelihood = -28463.177
Iteration 40: (EM) log likelihood = -28456.266
Iteration 41: (EM) log likelihood = -28449.487
Iteration 42: (EM) log likelihood = -28442.964
Iteration 43: (EM) log likelihood = -28436.571
Iteration 44: (EM) log likelihood = -28430.083
Iteration 45: (EM) log likelihood = -28423.868
Iteration 46: (EM) log likelihood = -28418.034
Iteration 47: (EM) log likelihood = -28412.275
Iteration 48: (EM) log likelihood = -28406.837
Iteration 49: (EM) log likelihood = -28401.319
Iteration 50: (EM) log likelihood = -28395.634
Iteration 51: (EM) log likelihood = -28390.177
Iteration 52: (EM) log likelihood = -28384.986
Iteration 53: (EM) log likelihood = -28380.222
Iteration 54: (EM) log likelihood = -28375.407
Iteration 55: (EM) log likelihood = -28370.644
Iteration 56: (EM) log likelihood = -28365.886
Iteration 57: (EM) log likelihood = -28360.844
Iteration 58: (EM) log likelihood = -28356.39
Iteration 59: (EM) log likelihood = -28351.756
Iteration 60: (EM) log likelihood = -28347.649
Iteration 61: (EM) log likelihood = -28343.65
Iteration 62: (EM) log likelihood = -28339.441
Iteration 63: (EM) log likelihood = -28335.482
Iteration 64: (EM) log likelihood = -28331.49
Iteration 65: (EM) log likelihood = -28327.887
Iteration 66: (EM) log likelihood = -28324.54
Iteration 67: (EM) log likelihood = -28321.135
Iteration 68: (EM) log likelihood = -28317.731
Iteration 69: (EM) log likelihood = -28314.647
Iteration 70: (EM) log likelihood = -28311.23
Iteration 71: (EM) log likelihood = -28308.083
Iteration 72: (EM) log likelihood = -28305.007
Iteration 73: (EM) log likelihood = -28302.943
Iteration 74: (EM) log likelihood = -28299.893
Iteration 75: (EM) log likelihood = -28297.122
Iteration 76: (EM) log likelihood = -28294.171
Iteration 77: (EM) log likelihood = -28291.352
Iteration 78: (EM) log likelihood = -28288.816
Iteration 79: (EM) log likelihood = -28285.944
Iteration 80: (EM) log likelihood = -28283.348
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.4428
Iteration 1: (class) log likelihood = -4162.4428
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29161.698
Iteration 1: (outcome) log likelihood = -29161.698
Refining starting values:
Iteration 0: (EM) log likelihood = -33322.354
Iteration 1: (EM) log likelihood = -33311.806
Iteration 2: (EM) log likelihood = -33272.943
Iteration 3: (EM) log likelihood = -33137.494
Iteration 4: (EM) log likelihood = -32751.492
Iteration 5: (EM) log likelihood = -32028.422
Iteration 6: (EM) log likelihood = -31178.496
Iteration 7: (EM) log likelihood = -30478.08
Iteration 8: (EM) log likelihood = -29990.048
Iteration 9: (EM) log likelihood = -29652.287
Iteration 10: (EM) log likelihood = -29418.387
Iteration 11: (EM) log likelihood = -29259.937
Iteration 12: (EM) log likelihood = -29145.062
Iteration 13: (EM) log likelihood = -29056.694
Iteration 14: (EM) log likelihood = -28990.912
Iteration 15: (EM) log likelihood = -28944.382
Iteration 16: (EM) log likelihood = -28914.127
Iteration 17: (EM) log likelihood = -28894.917
Iteration 18: (EM) log likelihood = -28884.05
Iteration 19: (EM) log likelihood = -28877.174
Iteration 20: (EM) log likelihood = -28872.738
Iteration 21: (EM) log likelihood = -28869.843
Iteration 22: (EM) log likelihood = -28865.648
Iteration 23: (EM) log likelihood = -28861.347
Iteration 24: (EM) log likelihood = -28856.271
Iteration 25: (EM) log likelihood = -28850.131
Iteration 26: (EM) log likelihood = -28844.473
Iteration 27: (EM) log likelihood = -28839.236
Iteration 28: (EM) log likelihood = -28834.467
Iteration 29: (EM) log likelihood = -28831.733
Iteration 30: (EM) log likelihood = -28831.246
Iteration 31: (EM) log likelihood = -28831.867
Iteration 32: (EM) log likelihood = -28833.378
Iteration 33: (EM) log likelihood = -28836.244
Iteration 34: (EM) log likelihood = -28840.07
Iteration 35: (EM) log likelihood = -28843.972
Iteration 36: (EM) log likelihood = -28848.414
Iteration 37: (EM) log likelihood = -28852.656
Iteration 38: (EM) log likelihood = -28856.614
Iteration 39: (EM) log likelihood = -28860.586
Iteration 40: (EM) log likelihood = -28864.352
Iteration 41: (EM) log likelihood = -28867.267
Iteration 42: (EM) log likelihood = -28869.619
Iteration 43: (EM) log likelihood = -28871.267
Iteration 44: (EM) log likelihood = -28872.409
Iteration 45: (EM) log likelihood = -28872.625
Iteration 46: (EM) log likelihood = -28872.333
Iteration 47: (EM) log likelihood = -28871.034
Iteration 48: (EM) log likelihood = -28869.006
Iteration 49: (EM) log likelihood = -28866.076
Iteration 50: (EM) log likelihood = -28862.467
Iteration 51: (EM) log likelihood = -28858.158
Iteration 52: (EM) log likelihood = -28853.35
Iteration 53: (EM) log likelihood = -28847.772
Iteration 54: (EM) log likelihood = -28841.534
Iteration 55: (EM) log likelihood = -28835.102
Iteration 56: (EM) log likelihood = -28828.144
Iteration 57: (EM) log likelihood = -28820.873
Iteration 58: (EM) log likelihood = -28813.302
Iteration 59: (EM) log likelihood = -28805.134
Iteration 60: (EM) log likelihood = -28796.746
Iteration 61: (EM) log likelihood = -28788.812
Iteration 62: (EM) log likelihood = -28779.645
Iteration 63: (EM) log likelihood = -28770.441
Iteration 64: (EM) log likelihood = -28761.531
Iteration 65: (EM) log likelihood = -28752.303
Iteration 66: (EM) log likelihood = -28742.992
Iteration 67: (EM) log likelihood = -28734.236
Iteration 68: (EM) log likelihood = -28724.305
Iteration 69: (EM) log likelihood = -28714.798
Iteration 70: (EM) log likelihood = -28705.347
Iteration 71: (EM) log likelihood = -28695.622
Iteration 72: (EM) log likelihood = -28685.886
Iteration 73: (EM) log likelihood = -28675.8
Iteration 74: (EM) log likelihood = -28666.195
Iteration 75: (EM) log likelihood = -28656.196
Iteration 76: (EM) log likelihood = -28646.645
Iteration 77: (EM) log likelihood = -28637.023
Iteration 78: (EM) log likelihood = -28627.315
Iteration 79: (EM) log likelihood = -28617.639
Iteration 80: (EM) log likelihood = -28608.105
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.4612
Iteration 1: (class) log likelihood = -4161.4612
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29150.539
Iteration 1: (outcome) log likelihood = -29150.539
Refining starting values:
Iteration 0: (EM) log likelihood = -33309.77
Iteration 1: (EM) log likelihood = -33292.396
Iteration 2: (EM) log likelihood = -33225.37
Iteration 3: (EM) log likelihood = -32970.545
Iteration 4: (EM) log likelihood = -32251.357
Iteration 5: (EM) log likelihood = -31262.664
Iteration 6: (EM) log likelihood = -30560.03
Iteration 7: (EM) log likelihood = -30106.831
Iteration 8: (EM) log likelihood = -29750.318
Iteration 9: (EM) log likelihood = -29457.701
Iteration 10: (EM) log likelihood = -29235.705
Iteration 11: (EM) log likelihood = -29083.756
Iteration 12: (EM) log likelihood = -28987.426
Iteration 13: (EM) log likelihood = -28927.457
Iteration 14: (EM) log likelihood = -28888.516
Iteration 15: (EM) log likelihood = -28860.951
Iteration 16: (EM) log likelihood = -28840.289
Iteration 17: (EM) log likelihood = -28823.156
Iteration 18: (EM) log likelihood = -28808.377
Iteration 19: (EM) log likelihood = -28794.807
Iteration 20: (EM) log likelihood = -28781.946
Iteration 21: (EM) log likelihood = -28769.849
Iteration 22: (EM) log likelihood = -28758.157
Iteration 23: (EM) log likelihood = -28746.518
Iteration 24: (EM) log likelihood = -28735.08
Iteration 25: (EM) log likelihood = -28723.742
Iteration 26: (EM) log likelihood = -28712.783
Iteration 27: (EM) log likelihood = -28701.436
Iteration 28: (EM) log likelihood = -28691.078
Iteration 29: (EM) log likelihood = -28680.681
Iteration 30: (EM) log likelihood = -28670.401
Iteration 31: (EM) log likelihood = -28660.195
Iteration 32: (EM) log likelihood = -28650.098
Iteration 33: (EM) log likelihood = -28640.123
Iteration 34: (EM) log likelihood = -28630.25
Iteration 35: (EM) log likelihood = -28620.554
Iteration 36: (EM) log likelihood = -28610.836
Iteration 37: (EM) log likelihood = -28601.114
Iteration 38: (EM) log likelihood = -28591.863
Iteration 39: (EM) log likelihood = -28582.601
Iteration 40: (EM) log likelihood = -28573.491
Iteration 41: (EM) log likelihood = -28564.568
Iteration 42: (EM) log likelihood = -28555.882
Iteration 43: (EM) log likelihood = -28547.333
Iteration 44: (EM) log likelihood = -28538.806
Iteration 45: (EM) log likelihood = -28530.496
Iteration 46: (EM) log likelihood = -28522.697
Iteration 47: (EM) log likelihood = -28514.666
Iteration 48: (EM) log likelihood = -28507.198
Iteration 49: (EM) log likelihood = -28499.757
Iteration 50: (EM) log likelihood = -28492.181
Iteration 51: (EM) log likelihood = -28485.023
Iteration 52: (EM) log likelihood = -28477.853
Iteration 53: (EM) log likelihood = -28470.909
Iteration 54: (EM) log likelihood = -28464.163
Iteration 55: (EM) log likelihood = -28457.123
Iteration 56: (EM) log likelihood = -28450.615
Iteration 57: (EM) log likelihood = -28444.173
Iteration 58: (EM) log likelihood = -28438.077
Iteration 59: (EM) log likelihood = -28433.532
Iteration 60: (EM) log likelihood = -28427.56
Iteration 61: (EM) log likelihood = -28421.735
Iteration 62: (EM) log likelihood = -28416.053
Iteration 63: (EM) log likelihood = -28410.495
Iteration 64: (EM) log likelihood = -28405.038
Iteration 65: (EM) log likelihood = -28400.018
Iteration 66: (EM) log likelihood = -28394.874
Iteration 67: (EM) log likelihood = -28389.576
Iteration 68: (EM) log likelihood = -28384.642
Iteration 69: (EM) log likelihood = -28379.949
Iteration 70: (EM) log likelihood = -28375.329
Iteration 71: (EM) log likelihood = -28370.387
Iteration 72: (EM) log likelihood = -28365.837
Iteration 73: (EM) log likelihood = -28361.022
Iteration 74: (EM) log likelihood = -28355.275
Iteration 75: (EM) log likelihood = -28351.229
Iteration 76: (EM) log likelihood = -28347.251
Iteration 77: (EM) log likelihood = -28343.137
Iteration 78: (EM) log likelihood = -28338.967
Iteration 79: (EM) log likelihood = -28334.948
Iteration 80: (EM) log likelihood = -28331.082
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.4365
Iteration 1: (class) log likelihood = -4161.4365
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29155.323
Iteration 1: (outcome) log likelihood = -29155.323
Refining starting values:
Iteration 0: (EM) log likelihood = -33307.243
Iteration 1: (EM) log likelihood = -33262.431
Iteration 2: (EM) log likelihood = -33082.078
Iteration 3: (EM) log likelihood = -32499.594
Iteration 4: (EM) log likelihood = -31507.283
Iteration 5: (EM) log likelihood = -30711.493
Iteration 6: (EM) log likelihood = -30239.01
Iteration 7: (EM) log likelihood = -29911.224
Iteration 8: (EM) log likelihood = -29653.962
Iteration 9: (EM) log likelihood = -29444.719
Iteration 10: (EM) log likelihood = -29272.794
Iteration 11: (EM) log likelihood = -29141.901
Iteration 12: (EM) log likelihood = -29051.17
Iteration 13: (EM) log likelihood = -28991.219
Iteration 14: (EM) log likelihood = -28950.315
Iteration 15: (EM) log likelihood = -28921.195
Iteration 16: (EM) log likelihood = -28899.163
Iteration 17: (EM) log likelihood = -28881.43
Iteration 18: (EM) log likelihood = -28866.271
Iteration 19: (EM) log likelihood = -28852.768
Iteration 20: (EM) log likelihood = -28840.507
Iteration 21: (EM) log likelihood = -28828.405
Iteration 22: (EM) log likelihood = -28816.715
Iteration 23: (EM) log likelihood = -28805.47
Iteration 24: (EM) log likelihood = -28794.354
Iteration 25: (EM) log likelihood = -28782.748
Iteration 26: (EM) log likelihood = -28771.803
Iteration 27: (EM) log likelihood = -28761.1
Iteration 28: (EM) log likelihood = -28750.72
Iteration 29: (EM) log likelihood = -28740.272
Iteration 30: (EM) log likelihood = -28729.829
Iteration 31: (EM) log likelihood = -28720.381
Iteration 32: (EM) log likelihood = -28710.083
Iteration 33: (EM) log likelihood = -28699.962
Iteration 34: (EM) log likelihood = -28689.8
Iteration 35: (EM) log likelihood = -28679.472
Iteration 36: (EM) log likelihood = -28669.602
Iteration 37: (EM) log likelihood = -28659.709
Iteration 38: (EM) log likelihood = -28649.8
Iteration 39: (EM) log likelihood = -28640.05
Iteration 40: (EM) log likelihood = -28630.203
Iteration 41: (EM) log likelihood = -28620.405
Iteration 42: (EM) log likelihood = -28610.849
Iteration 43: (EM) log likelihood = -28601.431
Iteration 44: (EM) log likelihood = -28592.077
Iteration 45: (EM) log likelihood = -28582.678
Iteration 46: (EM) log likelihood = -28573.462
Iteration 47: (EM) log likelihood = -28564.523
Iteration 48: (EM) log likelihood = -28555.436
Iteration 49: (EM) log likelihood = -28545.962
Iteration 50: (EM) log likelihood = -28537.698
Iteration 51: (EM) log likelihood = -28529.17
Iteration 52: (EM) log likelihood = -28520.827
Iteration 53: (EM) log likelihood = -28512.728
Iteration 54: (EM) log likelihood = -28504.83
Iteration 55: (EM) log likelihood = -28497.148
Iteration 56: (EM) log likelihood = -28488.734
Iteration 57: (EM) log likelihood = -28481.389
Iteration 58: (EM) log likelihood = -28474.213
Iteration 59: (EM) log likelihood = -28466.421
Iteration 60: (EM) log likelihood = -28459.583
Iteration 61: (EM) log likelihood = -28452.831
Iteration 62: (EM) log likelihood = -28446.237
Iteration 63: (EM) log likelihood = -28439.795
Iteration 64: (EM) log likelihood = -28433.476
Iteration 65: (EM) log likelihood = -28426.988
Iteration 66: (EM) log likelihood = -28421.201
Iteration 67: (EM) log likelihood = -28415.534
Iteration 68: (EM) log likelihood = -28409.2
Iteration 69: (EM) log likelihood = -28403.53
Iteration 70: (EM) log likelihood = -28398.098
Iteration 71: (EM) log likelihood = -28392.59
Iteration 72: (EM) log likelihood = -28387.467
Iteration 73: (EM) log likelihood = -28382.454
Iteration 74: (EM) log likelihood = -28377.605
Iteration 75: (EM) log likelihood = -28373.015
Iteration 76: (EM) log likelihood = -28368.211
Iteration 77: (EM) log likelihood = -28363.435
Iteration 78: (EM) log likelihood = -28358.819
Iteration 79: (EM) log likelihood = -28354.416
Iteration 80: (EM) log likelihood = -28350.132
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4160.4304
Iteration 1: (class) log likelihood = -4160.4304
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29151.248
Iteration 1: (outcome) log likelihood = -29151.248
Refining starting values:
Iteration 0: (EM) log likelihood = -33309.56
Iteration 1: (EM) log likelihood = -33294.575
Iteration 2: (EM) log likelihood = -33236.148
Iteration 3: (EM) log likelihood = -33028.305
Iteration 4: (EM) log likelihood = -32463.763
Iteration 5: (EM) log likelihood = -31573.105
Iteration 6: (EM) log likelihood = -30773.07
Iteration 7: (EM) log likelihood = -30221.857
Iteration 8: (EM) log likelihood = -29829.582
Iteration 9: (EM) log likelihood = -29535.16
Iteration 10: (EM) log likelihood = -29333.347
Iteration 11: (EM) log likelihood = -29202.04
Iteration 12: (EM) log likelihood = -29116.672
Iteration 13: (EM) log likelihood = -29060.482
Iteration 14: (EM) log likelihood = -29022.668
Iteration 15: (EM) log likelihood = -28994.84
Iteration 16: (EM) log likelihood = -28974.343
Iteration 17: (EM) log likelihood = -28959.296
Iteration 18: (EM) log likelihood = -28948.131
Iteration 19: (EM) log likelihood = -28940.35
Iteration 20: (EM) log likelihood = -28935.623
Iteration 21: (EM) log likelihood = -28933.006
Iteration 22: (EM) log likelihood = -28931.303
Iteration 23: (EM) log likelihood = -28930.359
Iteration 24: (EM) log likelihood = -28930.168
Iteration 25: (EM) log likelihood = -28930.135
Iteration 26: (EM) log likelihood = -28930.488
Iteration 27: (EM) log likelihood = -28930.146
Iteration 28: (EM) log likelihood = -28930.703
Iteration 29: (EM) log likelihood = -28930.619
Iteration 30: (EM) log likelihood = -28931.192
Iteration 31: (EM) log likelihood = -28931.372
Iteration 32: (EM) log likelihood = -28931.253
Iteration 33: (EM) log likelihood = -28931.042
Iteration 34: (EM) log likelihood = -28930.746
Iteration 35: (EM) log likelihood = -28930.407
Iteration 36: (EM) log likelihood = -28929.779
Iteration 37: (EM) log likelihood = -28928.984
Iteration 38: (EM) log likelihood = -28927.956
Iteration 39: (EM) log likelihood = -28926.593
Iteration 40: (EM) log likelihood = -28925.057
Iteration 41: (EM) log likelihood = -28923.214
Iteration 42: (EM) log likelihood = -28921.07
Iteration 43: (EM) log likelihood = -28918.415
Iteration 44: (EM) log likelihood = -28915.728
Iteration 45: (EM) log likelihood = -28912.586
Iteration 46: (EM) log likelihood = -28908.984
Iteration 47: (EM) log likelihood = -28904.486
Iteration 48: (EM) log likelihood = -28899.518
Iteration 49: (EM) log likelihood = -28893.699
Iteration 50: (EM) log likelihood = -28887.26
Iteration 51: (EM) log likelihood = -28879.865
Iteration 52: (EM) log likelihood = -28871.446
Iteration 53: (EM) log likelihood = -28861.695
Iteration 54: (EM) log likelihood = -28851.132
Iteration 55: (EM) log likelihood = -28839.448
Iteration 56: (EM) log likelihood = -28826.602
Iteration 57: (EM) log likelihood = -28812.189
Iteration 58: (EM) log likelihood = -28796.611
Iteration 59: (EM) log likelihood = -28780.026
Iteration 60: (EM) log likelihood = -28762.293
Iteration 61: (EM) log likelihood = -28743.537
Iteration 62: (EM) log likelihood = -28723.833
Iteration 63: (EM) log likelihood = -28703.701
Iteration 64: (EM) log likelihood = -28682.118
Iteration 65: (EM) log likelihood = -28660.57
Iteration 66: (EM) log likelihood = -28638.606
Iteration 67: (EM) log likelihood = -28616.218
Iteration 68: (EM) log likelihood = -28593.643
Iteration 69: (EM) log likelihood = -28570.951
Iteration 70: (EM) log likelihood = -28548.228
Iteration 71: (EM) log likelihood = -28525.276
Iteration 72: (EM) log likelihood = -28502.397
Iteration 73: (EM) log likelihood = -28480.24
Iteration 74: (EM) log likelihood = -28458.531
Iteration 75: (EM) log likelihood = -28437.36
Iteration 76: (EM) log likelihood = -28416.787
Iteration 77: (EM) log likelihood = -28396.888
Iteration 78: (EM) log likelihood = -28378.097
Iteration 79: (EM) log likelihood = -28359.986
Iteration 80: (EM) log likelihood = -28342.918
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4158.7162
Iteration 1: (class) log likelihood = -4158.7162
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29142.02
Iteration 1: (outcome) log likelihood = -29142.02
Refining starting values:
Iteration 0: (EM) log likelihood = -33264.472
Iteration 1: (EM) log likelihood = -33105.163
Iteration 2: (EM) log likelihood = -32553.436
Iteration 3: (EM) log likelihood = -31529.177
Iteration 4: (EM) log likelihood = -30647.928
Iteration 5: (EM) log likelihood = -30087.064
Iteration 6: (EM) log likelihood = -29677.956
Iteration 7: (EM) log likelihood = -29370.938
Iteration 8: (EM) log likelihood = -29161.012
Iteration 9: (EM) log likelihood = -29026.191
Iteration 10: (EM) log likelihood = -28942.513
Iteration 11: (EM) log likelihood = -28891.307
Iteration 12: (EM) log likelihood = -28860.102
Iteration 13: (EM) log likelihood = -28840.924
Iteration 14: (EM) log likelihood = -28828.929
Iteration 15: (EM) log likelihood = -28821.186
Iteration 16: (EM) log likelihood = -28816.135
Iteration 17: (EM) log likelihood = -28812.588
Iteration 18: (EM) log likelihood = -28809.979
Iteration 19: (EM) log likelihood = -28807.554
Iteration 20: (EM) log likelihood = -28805.164
Iteration 21: (EM) log likelihood = -28802.309
Iteration 22: (EM) log likelihood = -28798.814
Iteration 23: (EM) log likelihood = -28794.495
Iteration 24: (EM) log likelihood = -28789.189
Iteration 25: (EM) log likelihood = -28782.915
Iteration 26: (EM) log likelihood = -28775.38
Iteration 27: (EM) log likelihood = -28766.784
Iteration 28: (EM) log likelihood = -28757.126
Iteration 29: (EM) log likelihood = -28746.509
Iteration 30: (EM) log likelihood = -28735.164
Iteration 31: (EM) log likelihood = -28723.315
Iteration 32: (EM) log likelihood = -28711.188
Iteration 33: (EM) log likelihood = -28699.021
Iteration 34: (EM) log likelihood = -28686.921
Iteration 35: (EM) log likelihood = -28674.942
Iteration 36: (EM) log likelihood = -28663.363
Iteration 37: (EM) log likelihood = -28651.993
Iteration 38: (EM) log likelihood = -28640.863
Iteration 39: (EM) log likelihood = -28630.071
Iteration 40: (EM) log likelihood = -28619.375
Iteration 41: (EM) log likelihood = -28608.821
Iteration 42: (EM) log likelihood = -28598.537
Iteration 43: (EM) log likelihood = -28588.236
Iteration 44: (EM) log likelihood = -28578.643
Iteration 45: (EM) log likelihood = -28569.226
Iteration 46: (EM) log likelihood = -28559.95
Iteration 47: (EM) log likelihood = -28551.04
Iteration 48: (EM) log likelihood = -28542.289
Iteration 49: (EM) log likelihood = -28533.606
Iteration 50: (EM) log likelihood = -28525.259
Iteration 51: (EM) log likelihood = -28517.08
Iteration 52: (EM) log likelihood = -28509.113
Iteration 53: (EM) log likelihood = -28501.585
Iteration 54: (EM) log likelihood = -28494.125
Iteration 55: (EM) log likelihood = -28486.639
Iteration 56: (EM) log likelihood = -28479.369
Iteration 57: (EM) log likelihood = -28472.081
Iteration 58: (EM) log likelihood = -28465.133
Iteration 59: (EM) log likelihood = -28457.861
Iteration 60: (EM) log likelihood = -28451.302
Iteration 61: (EM) log likelihood = -28444.839
Iteration 62: (EM) log likelihood = -28438.08
Iteration 63: (EM) log likelihood = -28432.021
Iteration 64: (EM) log likelihood = -28425.988
Iteration 65: (EM) log likelihood = -28419.999
Iteration 66: (EM) log likelihood = -28414.235
Iteration 67: (EM) log likelihood = -28408.721
Iteration 68: (EM) log likelihood = -28403.297
Iteration 69: (EM) log likelihood = -28397.862
Iteration 70: (EM) log likelihood = -28392.475
Iteration 71: (EM) log likelihood = -28387.119
Iteration 72: (EM) log likelihood = -28382.234
Iteration 73: (EM) log likelihood = -28377.407
Iteration 74: (EM) log likelihood = -28372.664
Iteration 75: (EM) log likelihood = -28368.117
Iteration 76: (EM) log likelihood = -28363.425
Iteration 77: (EM) log likelihood = -28358.985
Iteration 78: (EM) log likelihood = -28354.831
Iteration 79: (EM) log likelihood = -28350.698
Iteration 80: (EM) log likelihood = -28346.455
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4160.8885
Iteration 1: (class) log likelihood = -4160.8885
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29157.319
Iteration 1: (outcome) log likelihood = -29157.319
Refining starting values:
Iteration 0: (EM) log likelihood = -33311.519
Iteration 1: (EM) log likelihood = -33294.245
Iteration 2: (EM) log likelihood = -33256.692
Iteration 3: (EM) log likelihood = -33173.785
Iteration 4: (EM) log likelihood = -32971.268
Iteration 5: (EM) log likelihood = -32458.041
Iteration 6: (EM) log likelihood = -31514.685
Iteration 7: (EM) log likelihood = -30536.556
Iteration 8: (EM) log likelihood = -29868.385
Iteration 9: (EM) log likelihood = -29469.191
Iteration 10: (EM) log likelihood = -29242.441
Iteration 11: (EM) log likelihood = -29123.854
Iteration 12: (EM) log likelihood = -29060.846
Iteration 13: (EM) log likelihood = -29023.207
Iteration 14: (EM) log likelihood = -28997.307
Iteration 15: (EM) log likelihood = -28975.579
Iteration 16: (EM) log likelihood = -28956.136
Iteration 17: (EM) log likelihood = -28938.827
Iteration 18: (EM) log likelihood = -28923.192
Iteration 19: (EM) log likelihood = -28909.151
Iteration 20: (EM) log likelihood = -28896.498
Iteration 21: (EM) log likelihood = -28884.975
Iteration 22: (EM) log likelihood = -28874.238
Iteration 23: (EM) log likelihood = -28864.167
Iteration 24: (EM) log likelihood = -28854.033
Iteration 25: (EM) log likelihood = -28844.324
Iteration 26: (EM) log likelihood = -28834.544
Iteration 27: (EM) log likelihood = -28824.175
Iteration 28: (EM) log likelihood = -28814.252
Iteration 29: (EM) log likelihood = -28803.952
Iteration 30: (EM) log likelihood = -28793.811
Iteration 31: (EM) log likelihood = -28783.635
Iteration 32: (EM) log likelihood = -28773.442
Iteration 33: (EM) log likelihood = -28763.478
Iteration 34: (EM) log likelihood = -28753.539
Iteration 35: (EM) log likelihood = -28743.566
Iteration 36: (EM) log likelihood = -28733.564
Iteration 37: (EM) log likelihood = -28723.541
Iteration 38: (EM) log likelihood = -28713.757
Iteration 39: (EM) log likelihood = -28703.964
Iteration 40: (EM) log likelihood = -28693.592
Iteration 41: (EM) log likelihood = -28683.885
Iteration 42: (EM) log likelihood = -28673.911
Iteration 43: (EM) log likelihood = -28663.96
Iteration 44: (EM) log likelihood = -28653.933
Iteration 45: (EM) log likelihood = -28644.094
Iteration 46: (EM) log likelihood = -28634.354
Iteration 47: (EM) log likelihood = -28624.617
Iteration 48: (EM) log likelihood = -28614.974
Iteration 49: (EM) log likelihood = -28605.214
Iteration 50: (EM) log likelihood = -28595.828
Iteration 51: (EM) log likelihood = -28586.415
Iteration 52: (EM) log likelihood = -28577.339
Iteration 53: (EM) log likelihood = -28568.257
Iteration 54: (EM) log likelihood = -28559.399
Iteration 55: (EM) log likelihood = -28550.588
Iteration 56: (EM) log likelihood = -28541.919
Iteration 57: (EM) log likelihood = -28533.474
Iteration 58: (EM) log likelihood = -28525.115
Iteration 59: (EM) log likelihood = -28517.001
Iteration 60: (EM) log likelihood = -28509.259
Iteration 61: (EM) log likelihood = -28501.44
Iteration 62: (EM) log likelihood = -28493.923
Iteration 63: (EM) log likelihood = -28486.561
Iteration 64: (EM) log likelihood = -28479.387
Iteration 65: (EM) log likelihood = -28472.372
Iteration 66: (EM) log likelihood = -28465.524
Iteration 67: (EM) log likelihood = -28458.464
Iteration 68: (EM) log likelihood = -28451.946
Iteration 69: (EM) log likelihood = -28445.638
Iteration 70: (EM) log likelihood = -28439.436
Iteration 71: (EM) log likelihood = -28433.158
Iteration 72: (EM) log likelihood = -28427.253
Iteration 73: (EM) log likelihood = -28421.256
Iteration 74: (EM) log likelihood = -28415.597
Iteration 75: (EM) log likelihood = -28409.908
Iteration 76: (EM) log likelihood = -28404.629
Iteration 77: (EM) log likelihood = -28399.529
Iteration 78: (EM) log likelihood = -28394.449
Iteration 79: (EM) log likelihood = -28389.534
Iteration 80: (EM) log likelihood = -28384.414
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.404
Iteration 1: (class) log likelihood = -4162.404
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29150.638
Iteration 1: (outcome) log likelihood = -29150.638 (backed up)
Refining starting values:
Iteration 0: (EM) log likelihood = -33303.252
Iteration 1: (EM) log likelihood = -33271.528
Iteration 2: (EM) log likelihood = -33169.085
Iteration 3: (EM) log likelihood = -32841.792
Iteration 4: (EM) log likelihood = -32085.868
Iteration 5: (EM) log likelihood = -31135.523
Iteration 6: (EM) log likelihood = -30365.241
Iteration 7: (EM) log likelihood = -29781.273
Iteration 8: (EM) log likelihood = -29369.159
Iteration 9: (EM) log likelihood = -29124.233
Iteration 10: (EM) log likelihood = -29005.076
Iteration 11: (EM) log likelihood = -28950.883
Iteration 12: (EM) log likelihood = -28923.648
Iteration 13: (EM) log likelihood = -28907.023
Iteration 14: (EM) log likelihood = -28894.578
Iteration 15: (EM) log likelihood = -28883.675
Iteration 16: (EM) log likelihood = -28873.332
Iteration 17: (EM) log likelihood = -28863.237
Iteration 18: (EM) log likelihood = -28852.631
Iteration 19: (EM) log likelihood = -28841.667
Iteration 20: (EM) log likelihood = -28830.555
Iteration 21: (EM) log likelihood = -28820.434
Iteration 22: (EM) log likelihood = -28808.953
Iteration 23: (EM) log likelihood = -28798.139
Iteration 24: (EM) log likelihood = -28786.583
Iteration 25: (EM) log likelihood = -28775.512
Iteration 26: (EM) log likelihood = -28764.588
Iteration 27: (EM) log likelihood = -28753.993
Iteration 28: (EM) log likelihood = -28742.502
Iteration 29: (EM) log likelihood = -28731.663
Iteration 30: (EM) log likelihood = -28720.854
Iteration 31: (EM) log likelihood = -28710.379
Iteration 32: (EM) log likelihood = -28699.776
Iteration 33: (EM) log likelihood = -28689.254
Iteration 34: (EM) log likelihood = -28678.545
Iteration 35: (EM) log likelihood = -28668.293
Iteration 36: (EM) log likelihood = -28657.909
Iteration 37: (EM) log likelihood = -28647.861
Iteration 38: (EM) log likelihood = -28637.856
Iteration 39: (EM) log likelihood = -28628.023
Iteration 40: (EM) log likelihood = -28618.529
Iteration 41: (EM) log likelihood = -28609.1
Iteration 42: (EM) log likelihood = -28599.466
Iteration 43: (EM) log likelihood = -28590.01
Iteration 44: (EM) log likelihood = -28580.7
Iteration 45: (EM) log likelihood = -28571.195
Iteration 46: (EM) log likelihood = -28562.334
Iteration 47: (EM) log likelihood = -28553.517
Iteration 48: (EM) log likelihood = -28544.729
Iteration 49: (EM) log likelihood = -28536.105
Iteration 50: (EM) log likelihood = -28528.224
Iteration 51: (EM) log likelihood = -28519.899
Iteration 52: (EM) log likelihood = -28511.769
Iteration 53: (EM) log likelihood = -28503.919
Iteration 54: (EM) log likelihood = -28495.986
Iteration 55: (EM) log likelihood = -28488.369
Iteration 56: (EM) log likelihood = -28481.035
Iteration 57: (EM) log likelihood = -28473.834
Iteration 58: (EM) log likelihood = -28466.814
Iteration 59: (EM) log likelihood = -28459.997
Iteration 60: (EM) log likelihood = -28453.484
Iteration 61: (EM) log likelihood = -28447.03
Iteration 62: (EM) log likelihood = -28440.678
Iteration 63: (EM) log likelihood = -28434.313
Iteration 64: (EM) log likelihood = -28427.474
Iteration 65: (EM) log likelihood = -28421.602
Iteration 66: (EM) log likelihood = -28415.963
Iteration 67: (EM) log likelihood = -28410.292
Iteration 68: (EM) log likelihood = -28404.44
Iteration 69: (EM) log likelihood = -28399.095
Iteration 70: (EM) log likelihood = -28393.455
Iteration 71: (EM) log likelihood = -28388.516
Iteration 72: (EM) log likelihood = -28383.543
Iteration 73: (EM) log likelihood = -28378.673
Iteration 74: (EM) log likelihood = -28373.932
Iteration 75: (EM) log likelihood = -28369.311
Iteration 76: (EM) log likelihood = -28364.499
Iteration 77: (EM) log likelihood = -28360.083
Iteration 78: (EM) log likelihood = -28355.929
Iteration 79: (EM) log likelihood = -28352.076
Iteration 80: (EM) log likelihood = -28348.06
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.2365
Iteration 1: (class) log likelihood = -4162.2365
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29148.093
Iteration 1: (outcome) log likelihood = -29148.093
Refining starting values:
Iteration 0: (EM) log likelihood = -33297.949
Iteration 1: (EM) log likelihood = -33260.305
Iteration 2: (EM) log likelihood = -33156.166
Iteration 3: (EM) log likelihood = -32868.947
Iteration 4: (EM) log likelihood = -32196.027
Iteration 5: (EM) log likelihood = -31170.825
Iteration 6: (EM) log likelihood = -30210.755
Iteration 7: (EM) log likelihood = -29582.474
Iteration 8: (EM) log likelihood = -29225.876
Iteration 9: (EM) log likelihood = -29040.17
Iteration 10: (EM) log likelihood = -28957.406
Iteration 11: (EM) log likelihood = -28922.539
Iteration 12: (EM) log likelihood = -28905.709
Iteration 13: (EM) log likelihood = -28895.086
Iteration 14: (EM) log likelihood = -28886.095
Iteration 15: (EM) log likelihood = -28877.479
Iteration 16: (EM) log likelihood = -28868.957
Iteration 17: (EM) log likelihood = -28860.756
Iteration 18: (EM) log likelihood = -28851.949
Iteration 19: (EM) log likelihood = -28842.892
Iteration 20: (EM) log likelihood = -28833.198
Iteration 21: (EM) log likelihood = -28823.831
Iteration 22: (EM) log likelihood = -28814.139
Iteration 23: (EM) log likelihood = -28804.413
Iteration 24: (EM) log likelihood = -28794.514
Iteration 25: (EM) log likelihood = -28784.613
Iteration 26: (EM) log likelihood = -28774.58
Iteration 27: (EM) log likelihood = -28764.38
Iteration 28: (EM) log likelihood = -28754.081
Iteration 29: (EM) log likelihood = -28744.037
Iteration 30: (EM) log likelihood = -28732.886
Iteration 31: (EM) log likelihood = -28722.55
Iteration 32: (EM) log likelihood = -28712.725
Iteration 33: (EM) log likelihood = -28702.745
Iteration 34: (EM) log likelihood = -28692.456
Iteration 35: (EM) log likelihood = -28682.524
Iteration 36: (EM) log likelihood = -28672.556
Iteration 37: (EM) log likelihood = -28662.114
Iteration 38: (EM) log likelihood = -28652.234
Iteration 39: (EM) log likelihood = -28642.363
Iteration 40: (EM) log likelihood = -28632.542
Iteration 41: (EM) log likelihood = -28622.094
Iteration 42: (EM) log likelihood = -28612.544
Iteration 43: (EM) log likelihood = -28602.907
Iteration 44: (EM) log likelihood = -28593.301
Iteration 45: (EM) log likelihood = -28584.116
Iteration 46: (EM) log likelihood = -28575.006
Iteration 47: (EM) log likelihood = -28565.79
Iteration 48: (EM) log likelihood = -28557.02
Iteration 49: (EM) log likelihood = -28548.384
Iteration 50: (EM) log likelihood = -28539.733
Iteration 51: (EM) log likelihood = -28531.348
Iteration 52: (EM) log likelihood = -28523.268
Iteration 53: (EM) log likelihood = -28515.428
Iteration 54: (EM) log likelihood = -28507.498
Iteration 55: (EM) log likelihood = -28499.455
Iteration 56: (EM) log likelihood = -28491.902
Iteration 57: (EM) log likelihood = -28484.557
Iteration 58: (EM) log likelihood = -28477.406
Iteration 59: (EM) log likelihood = -28470.446
Iteration 60: (EM) log likelihood = -28463.299
Iteration 61: (EM) log likelihood = -28456.41
Iteration 62: (EM) log likelihood = -28450.026
Iteration 63: (EM) log likelihood = -28443.653
Iteration 64: (EM) log likelihood = -28437.279
Iteration 65: (EM) log likelihood = -28430.187
Iteration 66: (EM) log likelihood = -28424.405
Iteration 67: (EM) log likelihood = -28418.907
Iteration 68: (EM) log likelihood = -28413.265
Iteration 69: (EM) log likelihood = -28407.754
Iteration 70: (EM) log likelihood = -28402.554
Iteration 71: (EM) log likelihood = -28397.351
Iteration 72: (EM) log likelihood = -28392.508
Iteration 73: (EM) log likelihood = -28387.302
Iteration 74: (EM) log likelihood = -28382.466
Iteration 75: (EM) log likelihood = -28377.708
Iteration 76: (EM) log likelihood = -28372.826
Iteration 77: (EM) log likelihood = -28368.372
Iteration 78: (EM) log likelihood = -28364.101
Iteration 79: (EM) log likelihood = -28359.876
Iteration 80: (EM) log likelihood = -28355.673
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.7766
Iteration 1: (class) log likelihood = -4161.7766
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29147.375
Iteration 1: (outcome) log likelihood = -29147.375
Refining starting values:
Iteration 0: (EM) log likelihood = -33303.015
Iteration 1: (EM) log likelihood = -33284.485
Iteration 2: (EM) log likelihood = -33232.986
Iteration 3: (EM) log likelihood = -33074.431
Iteration 4: (EM) log likelihood = -32601.447
Iteration 5: (EM) log likelihood = -31670.473
Iteration 6: (EM) log likelihood = -30708.147
Iteration 7: (EM) log likelihood = -30023.765
Iteration 8: (EM) log likelihood = -29548.481
Iteration 9: (EM) log likelihood = -29233.179
Iteration 10: (EM) log likelihood = -29060.8
Iteration 11: (EM) log likelihood = -28978.508
Iteration 12: (EM) log likelihood = -28940.303
Iteration 13: (EM) log likelihood = -28921.95
Iteration 14: (EM) log likelihood = -28912.43
Iteration 15: (EM) log likelihood = -28907.069
Iteration 16: (EM) log likelihood = -28903.097
Iteration 17: (EM) log likelihood = -28899.616
Iteration 18: (EM) log likelihood = -28895.892
Iteration 19: (EM) log likelihood = -28891.931
Iteration 20: (EM) log likelihood = -28886.581
Iteration 21: (EM) log likelihood = -28880.459
Iteration 22: (EM) log likelihood = -28873.607
Iteration 23: (EM) log likelihood = -28865.228
Iteration 24: (EM) log likelihood = -28855.663
Iteration 25: (EM) log likelihood = -28844.621
Iteration 26: (EM) log likelihood = -28834.288
Iteration 27: (EM) log likelihood = -28822.876
Iteration 28: (EM) log likelihood = -28810.135
Iteration 29: (EM) log likelihood = -28797.259
Iteration 30: (EM) log likelihood = -28784.643
Iteration 31: (EM) log likelihood = -28771.785
Iteration 32: (EM) log likelihood = -28759.03
Iteration 33: (EM) log likelihood = -28746.405
Iteration 34: (EM) log likelihood = -28733.723
Iteration 35: (EM) log likelihood = -28721.054
Iteration 36: (EM) log likelihood = -28709.462
Iteration 37: (EM) log likelihood = -28697.477
Iteration 38: (EM) log likelihood = -28685.563
Iteration 39: (EM) log likelihood = -28674.089
Iteration 40: (EM) log likelihood = -28662.689
Iteration 41: (EM) log likelihood = -28651.107
Iteration 42: (EM) log likelihood = -28640.371
Iteration 43: (EM) log likelihood = -28629.517
Iteration 44: (EM) log likelihood = -28618.267
Iteration 45: (EM) log likelihood = -28607.682
Iteration 46: (EM) log likelihood = -28597.586
Iteration 47: (EM) log likelihood = -28587.187
Iteration 48: (EM) log likelihood = -28577.171
Iteration 49: (EM) log likelihood = -28567.339
Iteration 50: (EM) log likelihood = -28557.772
Iteration 51: (EM) log likelihood = -28548.33
Iteration 52: (EM) log likelihood = -28539.92
Iteration 53: (EM) log likelihood = -28530.918
Iteration 54: (EM) log likelihood = -28521.932
Iteration 55: (EM) log likelihood = -28513.294
Iteration 56: (EM) log likelihood = -28504.682
Iteration 57: (EM) log likelihood = -28496.496
Iteration 58: (EM) log likelihood = -28488.476
Iteration 59: (EM) log likelihood = -28480.592
Iteration 60: (EM) log likelihood = -28473.069
Iteration 61: (EM) log likelihood = -28465.726
Iteration 62: (EM) log likelihood = -28458.528
Iteration 63: (EM) log likelihood = -28451.516
Iteration 64: (EM) log likelihood = -28444.813
Iteration 65: (EM) log likelihood = -28438.264
Iteration 66: (EM) log likelihood = -28431.647
Iteration 67: (EM) log likelihood = -28425.488
Iteration 68: (EM) log likelihood = -28419.473
Iteration 69: (EM) log likelihood = -28413.56
Iteration 70: (EM) log likelihood = -28407.704
Iteration 71: (EM) log likelihood = -28402.227
Iteration 72: (EM) log likelihood = -28396.88
Iteration 73: (EM) log likelihood = -28391.557
Iteration 74: (EM) log likelihood = -28386.468
Iteration 75: (EM) log likelihood = -28381.173
Iteration 76: (EM) log likelihood = -28376.212
Iteration 77: (EM) log likelihood = -28371.874
Iteration 78: (EM) log likelihood = -28366.867
Iteration 79: (EM) log likelihood = -28362.285
Iteration 80: (EM) log likelihood = -28357.982
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.6111
Iteration 1: (class) log likelihood = -4162.6111
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29154.766
Iteration 1: (outcome) log likelihood = -29154.766
Refining starting values:
Iteration 0: (EM) log likelihood = -33301.768
Iteration 1: (EM) log likelihood = -33236.786
Iteration 2: (EM) log likelihood = -33017.082
Iteration 3: (EM) log likelihood = -32486.8
Iteration 4: (EM) log likelihood = -31705.237
Iteration 5: (EM) log likelihood = -30944.226
Iteration 6: (EM) log likelihood = -30352.582
Iteration 7: (EM) log likelihood = -29916.391
Iteration 8: (EM) log likelihood = -29585.13
Iteration 9: (EM) log likelihood = -29346.655
Iteration 10: (EM) log likelihood = -29188.274
Iteration 11: (EM) log likelihood = -29083.717
Iteration 12: (EM) log likelihood = -29014.711
Iteration 13: (EM) log likelihood = -28968.771
Iteration 14: (EM) log likelihood = -28936.572
Iteration 15: (EM) log likelihood = -28911.99
Iteration 16: (EM) log likelihood = -28890.847
Iteration 17: (EM) log likelihood = -28870.748
Iteration 18: (EM) log likelihood = -28851.96
Iteration 19: (EM) log likelihood = -28832.779
Iteration 20: (EM) log likelihood = -28813.493
Iteration 21: (EM) log likelihood = -28791.153
Iteration 22: (EM) log likelihood = -28768.413
Iteration 23: (EM) log likelihood = -28742.867
Iteration 24: (EM) log likelihood = -28714.716
Iteration 25: (EM) log likelihood = -28684.766
Iteration 26: (EM) log likelihood = -28653.871
Iteration 27: (EM) log likelihood = -28622.39
Iteration 28: (EM) log likelihood = -28592.128
Iteration 29: (EM) log likelihood = -28560.841
Iteration 30: (EM) log likelihood = -28530.725
Iteration 31: (EM) log likelihood = -28501.981
Iteration 32: (EM) log likelihood = -28474.47
Iteration 33: (EM) log likelihood = -28448.723
Iteration 34: (EM) log likelihood = -28424.462
Iteration 35: (EM) log likelihood = -28401.938
Iteration 36: (EM) log likelihood = -28381.178
Iteration 37: (EM) log likelihood = -28362
Iteration 38: (EM) log likelihood = -28344.52
Iteration 39: (EM) log likelihood = -28328.467
Iteration 40: (EM) log likelihood = -28313.841
Iteration 41: (EM) log likelihood = -28300.262
Iteration 42: (EM) log likelihood = -28287.8
Iteration 43: (EM) log likelihood = -28276.32
Iteration 44: (EM) log likelihood = -28265.931
Iteration 45: (EM) log likelihood = -28256.768
Iteration 46: (EM) log likelihood = -28248.513
Iteration 47: (EM) log likelihood = -28240.812
Iteration 48: (EM) log likelihood = -28233.958
Iteration 49: (EM) log likelihood = -28227.882
Iteration 50: (EM) log likelihood = -28221.526
Iteration 51: (EM) log likelihood = -28216.785
Iteration 52: (EM) log likelihood = -28212.349
Iteration 53: (EM) log likelihood = -28208.393
Iteration 54: (EM) log likelihood = -28204.878
Iteration 55: (EM) log likelihood = -28201.747
Iteration 56: (EM) log likelihood = -28198.931
Iteration 57: (EM) log likelihood = -28196.279
Iteration 58: (EM) log likelihood = -28194.055
Iteration 59: (EM) log likelihood = -28191.882
Iteration 60: (EM) log likelihood = -28190.087
Iteration 61: (EM) log likelihood = -28188.473
Iteration 62: (EM) log likelihood = -28186.911
Iteration 63: (EM) log likelihood = -28185.542
Iteration 64: (EM) log likelihood = -28184.373
Iteration 65: (EM) log likelihood = -28183.284
Iteration 66: (EM) log likelihood = -28182.322
Iteration 67: (EM) log likelihood = -28181.241
Iteration 68: (EM) log likelihood = -28186.782
Iteration 69: (EM) log likelihood = -28184.295
Iteration 70: (EM) log likelihood = -28182.455
Iteration 71: (EM) log likelihood = -28180.642
Iteration 72: (EM) log likelihood = -28178.931
Iteration 73: (EM) log likelihood = -28177.579
Iteration 74: (EM) log likelihood = -28176.321
Iteration 75: (EM) log likelihood = -28175.253
Iteration 76: (EM) log likelihood = -28174.278
Iteration 77: (EM) log likelihood = -28173.417
Iteration 78: (EM) log likelihood = -28172.642
Iteration 79: (EM) log likelihood = -28171.933
Iteration 80: (EM) log likelihood = -28171.209
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.5684
Iteration 1: (class) log likelihood = -4162.5684
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29139.623
Iteration 1: (outcome) log likelihood = -29139.623
Refining starting values:
Iteration 0: (EM) log likelihood = -33297.223
Iteration 1: (EM) log likelihood = -33280.99
Iteration 2: (EM) log likelihood = -33241.496
Iteration 3: (EM) log likelihood = -33138.22
Iteration 4: (EM) log likelihood = -32851.463
Iteration 5: (EM) log likelihood = -32150.333
Iteration 6: (EM) log likelihood = -31082.595
Iteration 7: (EM) log likelihood = -30189.06
Iteration 8: (EM) log likelihood = -29617.771
Iteration 9: (EM) log likelihood = -29256.037
Iteration 10: (EM) log likelihood = -29039.166
Iteration 11: (EM) log likelihood = -28926.437
Iteration 12: (EM) log likelihood = -28870.526
Iteration 13: (EM) log likelihood = -28840.358
Iteration 14: (EM) log likelihood = -28820.831
Iteration 15: (EM) log likelihood = -28805.46
Iteration 16: (EM) log likelihood = -28791.491
Iteration 17: (EM) log likelihood = -28778.016
Iteration 18: (EM) log likelihood = -28764.642
Iteration 19: (EM) log likelihood = -28751.267
Iteration 20: (EM) log likelihood = -28737.865
Iteration 21: (EM) log likelihood = -28724.687
Iteration 22: (EM) log likelihood = -28711.761
Iteration 23: (EM) log likelihood = -28699.014
Iteration 24: (EM) log likelihood = -28686.509
Iteration 25: (EM) log likelihood = -28674.313
Iteration 26: (EM) log likelihood = -28662.202
Iteration 27: (EM) log likelihood = -28650.429
Iteration 28: (EM) log likelihood = -28639.243
Iteration 29: (EM) log likelihood = -28628.411
Iteration 30: (EM) log likelihood = -28617.757
Iteration 31: (EM) log likelihood = -28607.403
Iteration 32: (EM) log likelihood = -28597.385
Iteration 33: (EM) log likelihood = -28587.444
Iteration 34: (EM) log likelihood = -28577.693
Iteration 35: (EM) log likelihood = -28568.34
Iteration 36: (EM) log likelihood = -28559.19
Iteration 37: (EM) log likelihood = -28550.241
Iteration 38: (EM) log likelihood = -28541.583
Iteration 39: (EM) log likelihood = -28533.012
Iteration 40: (EM) log likelihood = -28524.581
Iteration 41: (EM) log likelihood = -28515.924
Iteration 42: (EM) log likelihood = -28507.83
Iteration 43: (EM) log likelihood = -28499.86
Iteration 44: (EM) log likelihood = -28492.265
Iteration 45: (EM) log likelihood = -28484.864
Iteration 46: (EM) log likelihood = -28477.647
Iteration 47: (EM) log likelihood = -28470.587
Iteration 48: (EM) log likelihood = -28463.667
Iteration 49: (EM) log likelihood = -28456.951
Iteration 50: (EM) log likelihood = -28450.23
Iteration 51: (EM) log likelihood = -28444.153
Iteration 52: (EM) log likelihood = -28437.843
Iteration 53: (EM) log likelihood = -28431.456
Iteration 54: (EM) log likelihood = -28425.535
Iteration 55: (EM) log likelihood = -28419.574
Iteration 56: (EM) log likelihood = -28413.809
Iteration 57: (EM) log likelihood = -28408.182
Iteration 58: (EM) log likelihood = -28402.891
Iteration 59: (EM) log likelihood = -28397.697
Iteration 60: (EM) log likelihood = -28392.989
Iteration 61: (EM) log likelihood = -28387.976
Iteration 62: (EM) log likelihood = -28382.775
Iteration 63: (EM) log likelihood = -28377.843
Iteration 64: (EM) log likelihood = -28373.495
Iteration 65: (EM) log likelihood = -28368.834
Iteration 66: (EM) log likelihood = -28364.362
Iteration 67: (EM) log likelihood = -28360.011
Iteration 68: (EM) log likelihood = -28355.568
Iteration 69: (EM) log likelihood = -28351.502
Iteration 70: (EM) log likelihood = -28347.606
Iteration 71: (EM) log likelihood = -28343.75
Iteration 72: (EM) log likelihood = -28339.363
Iteration 73: (EM) log likelihood = -28335.916
Iteration 74: (EM) log likelihood = -28332.22
Iteration 75: (EM) log likelihood = -28328.941
Iteration 76: (EM) log likelihood = -28325.312
Iteration 77: (EM) log likelihood = -28321.818
Iteration 78: (EM) log likelihood = -28318.386
Iteration 79: (EM) log likelihood = -28315.369
Iteration 80: (EM) log likelihood = -28312.067
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4160.5902
Iteration 1: (class) log likelihood = -4160.5902
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29151.588
Iteration 1: (outcome) log likelihood = -29151.588
Refining starting values:
Iteration 0: (EM) log likelihood = -33307.681
Iteration 1: (EM) log likelihood = -33292.456
Iteration 2: (EM) log likelihood = -33241.215
Iteration 3: (EM) log likelihood = -33050.721
Iteration 4: (EM) log likelihood = -32447.065
Iteration 5: (EM) log likelihood = -31423.998
Iteration 6: (EM) log likelihood = -30581.371
Iteration 7: (EM) log likelihood = -30004.214
Iteration 8: (EM) log likelihood = -29561.757
Iteration 9: (EM) log likelihood = -29248.034
Iteration 10: (EM) log likelihood = -29060.657
Iteration 11: (EM) log likelihood = -28958.861
Iteration 12: (EM) log likelihood = -28902.903
Iteration 13: (EM) log likelihood = -28869.056
Iteration 14: (EM) log likelihood = -28846.329
Iteration 15: (EM) log likelihood = -28828.226
Iteration 16: (EM) log likelihood = -28813.125
Iteration 17: (EM) log likelihood = -28799.738
Iteration 18: (EM) log likelihood = -28786.85
Iteration 19: (EM) log likelihood = -28774.939
Iteration 20: (EM) log likelihood = -28763.178
Iteration 21: (EM) log likelihood = -28751.972
Iteration 22: (EM) log likelihood = -28740.81
Iteration 23: (EM) log likelihood = -28729.906
Iteration 24: (EM) log likelihood = -28719.127
Iteration 25: (EM) log likelihood = -28708.816
Iteration 26: (EM) log likelihood = -28698.027
Iteration 27: (EM) log likelihood = -28687.428
Iteration 28: (EM) log likelihood = -28677.068
Iteration 29: (EM) log likelihood = -28666.616
Iteration 30: (EM) log likelihood = -28656.37
Iteration 31: (EM) log likelihood = -28646.307
Iteration 32: (EM) log likelihood = -28636.021
Iteration 33: (EM) log likelihood = -28626.214
Iteration 34: (EM) log likelihood = -28616.232
Iteration 35: (EM) log likelihood = -28606.445
Iteration 36: (EM) log likelihood = -28596.888
Iteration 37: (EM) log likelihood = -28587.487
Iteration 38: (EM) log likelihood = -28578.32
Iteration 39: (EM) log likelihood = -28569.266
Iteration 40: (EM) log likelihood = -28560.114
Iteration 41: (EM) log likelihood = -28551.908
Iteration 42: (EM) log likelihood = -28543.379
Iteration 43: (EM) log likelihood = -28535.008
Iteration 44: (EM) log likelihood = -28526.828
Iteration 45: (EM) log likelihood = -28518.75
Iteration 46: (EM) log likelihood = -28511.156
Iteration 47: (EM) log likelihood = -28503.531
Iteration 48: (EM) log likelihood = -28495.768
Iteration 49: (EM) log likelihood = -28488.452
Iteration 50: (EM) log likelihood = -28481.282
Iteration 51: (EM) log likelihood = -28474.249
Iteration 52: (EM) log likelihood = -28467.435
Iteration 53: (EM) log likelihood = -28460.538
Iteration 54: (EM) log likelihood = -28454.095
Iteration 55: (EM) log likelihood = -28446.793
Iteration 56: (EM) log likelihood = -28440.554
Iteration 57: (EM) log likelihood = -28434.495
Iteration 58: (EM) log likelihood = -28428.558
Iteration 59: (EM) log likelihood = -28422.81
Iteration 60: (EM) log likelihood = -28417.194
Iteration 61: (EM) log likelihood = -28411.561
Iteration 62: (EM) log likelihood = -28406.258
Iteration 63: (EM) log likelihood = -28401.042
Iteration 64: (EM) log likelihood = -28395.995
Iteration 65: (EM) log likelihood = -28391.05
Iteration 66: (EM) log likelihood = -28386.089
Iteration 67: (EM) log likelihood = -28381.31
Iteration 68: (EM) log likelihood = -28376.743
Iteration 69: (EM) log likelihood = -28372.043
Iteration 70: (EM) log likelihood = -28367.391
Iteration 71: (EM) log likelihood = -28363.125
Iteration 72: (EM) log likelihood = -28358.738
Iteration 73: (EM) log likelihood = -28354.361
Iteration 74: (EM) log likelihood = -28350.227
Iteration 75: (EM) log likelihood = -28345.986
Iteration 76: (EM) log likelihood = -28341.871
Iteration 77: (EM) log likelihood = -28338.042
Iteration 78: (EM) log likelihood = -28334.153
Iteration 79: (EM) log likelihood = -28330.247
Iteration 80: (EM) log likelihood = -28326.675
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.2517
Iteration 1: (class) log likelihood = -4161.2517
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29155.508
Iteration 1: (outcome) log likelihood = -29155.508
Refining starting values:
Iteration 0: (EM) log likelihood = -33305.758
Iteration 1: (EM) log likelihood = -33264.603
Iteration 2: (EM) log likelihood = -33128.489
Iteration 3: (EM) log likelihood = -32780.484
Iteration 4: (EM) log likelihood = -32203.026
Iteration 5: (EM) log likelihood = -31539.419
Iteration 6: (EM) log likelihood = -30900.189
Iteration 7: (EM) log likelihood = -30322.796
Iteration 8: (EM) log likelihood = -29811.952
Iteration 9: (EM) log likelihood = -29390.493
Iteration 10: (EM) log likelihood = -29057.516
Iteration 11: (EM) log likelihood = -28811.751
Iteration 12: (EM) log likelihood = -28666.72
Iteration 13: (EM) log likelihood = -28589.626
Iteration 14: (EM) log likelihood = -28545.273
Iteration 15: (EM) log likelihood = -28515.656
Iteration 16: (EM) log likelihood = -28491.919
Iteration 17: (EM) log likelihood = -28468.411
Iteration 18: (EM) log likelihood = -28441.524
Iteration 19: (EM) log likelihood = -28409.038
Iteration 20: (EM) log likelihood = -28373.619
Iteration 21: (EM) log likelihood = -28337.77
Iteration 22: (EM) log likelihood = -28305.634
Iteration 23: (EM) log likelihood = -28278.864
Iteration 24: (EM) log likelihood = -28257.126
Iteration 25: (EM) log likelihood = -28239.646
Iteration 26: (EM) log likelihood = -28226.17
Iteration 27: (EM) log likelihood = -28215.679
Iteration 28: (EM) log likelihood = -28207.509
Iteration 29: (EM) log likelihood = -28201.386
Iteration 30: (EM) log likelihood = -28196.726
Iteration 31: (EM) log likelihood = -28193.533
Iteration 32: (EM) log likelihood = -28191.216
Iteration 33: (EM) log likelihood = -28189.652
Iteration 34: (EM) log likelihood = -28188.753
Iteration 35: (EM) log likelihood = -28188.189
Iteration 36: (EM) log likelihood = -28187.916
Iteration 37: (EM) log likelihood = -28187.79
Iteration 38: (EM) log likelihood = -28187.783
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.8751
Iteration 1: (class) log likelihood = -4161.8751
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29149.269
Iteration 1: (outcome) log likelihood = -29149.269
Refining starting values:
Iteration 0: (EM) log likelihood = -33294.657
Iteration 1: (EM) log likelihood = -33232.275
Iteration 2: (EM) log likelihood = -33040.668
Iteration 3: (EM) log likelihood = -32619.129
Iteration 4: (EM) log likelihood = -32009.339
Iteration 5: (EM) log likelihood = -31307.631
Iteration 6: (EM) log likelihood = -30604.068
Iteration 7: (EM) log likelihood = -30004.788
Iteration 8: (EM) log likelihood = -29543.239
Iteration 9: (EM) log likelihood = -29200.041
Iteration 10: (EM) log likelihood = -28947.757
Iteration 11: (EM) log likelihood = -28764.343
Iteration 12: (EM) log likelihood = -28631.905
Iteration 13: (EM) log likelihood = -28533.743
Iteration 14: (EM) log likelihood = -28457.52
Iteration 15: (EM) log likelihood = -28396.055
Iteration 16: (EM) log likelihood = -28343.975
Iteration 17: (EM) log likelihood = -28297.568
Iteration 18: (EM) log likelihood = -28253.237
Iteration 19: (EM) log likelihood = -28210.081
Iteration 20: (EM) log likelihood = -28165.857
Iteration 21: (EM) log likelihood = -28121.525
Iteration 22: (EM) log likelihood = -28078.975
Iteration 23: (EM) log likelihood = -28040.974
Iteration 24: (EM) log likelihood = -28010.451
Iteration 25: (EM) log likelihood = -27987.569
Iteration 26: (EM) log likelihood = -27972.127
Iteration 27: (EM) log likelihood = -27962.245
Iteration 28: (EM) log likelihood = -27956.732
Iteration 29: (EM) log likelihood = -27954.345
Iteration 30: (EM) log likelihood = -27953.632
Iteration 31: (EM) log likelihood = -27954.314
Iteration 32: (EM) log likelihood = -27955.783
Iteration 33: (EM) log likelihood = -27957.772
Iteration 34: (EM) log likelihood = -27960.212
Iteration 35: (EM) log likelihood = -27962.918
Iteration 36: (EM) log likelihood = -27965.977
Iteration 37: (EM) log likelihood = -27969.252
Iteration 38: (EM) log likelihood = -27972.688
Iteration 39: (EM) log likelihood = -27976.281
Iteration 40: (EM) log likelihood = -27979.973
Iteration 41: (EM) log likelihood = -27983.747
Iteration 42: (EM) log likelihood = -27987.568
Iteration 43: (EM) log likelihood = -27991.579
Iteration 44: (EM) log likelihood = -27995.297
Iteration 45: (EM) log likelihood = -27999.073
Iteration 46: (EM) log likelihood = -28002.626
Iteration 47: (EM) log likelihood = -28006.061
Iteration 48: (EM) log likelihood = -28009.379
Iteration 49: (EM) log likelihood = -28012.568
Iteration 50: (EM) log likelihood = -28015.591
Iteration 51: (EM) log likelihood = -28018.434
Iteration 52: (EM) log likelihood = -28021.113
Iteration 53: (EM) log likelihood = -28023.63
Iteration 54: (EM) log likelihood = -28025.999
Iteration 55: (EM) log likelihood = -28028.176
Iteration 56: (EM) log likelihood = -28030.206
Iteration 57: (EM) log likelihood = -28031.905
Iteration 58: (EM) log likelihood = -28033.686
Iteration 59: (EM) log likelihood = -28035.774
Iteration 60: (EM) log likelihood = -28037.144
Iteration 61: (EM) log likelihood = -28038.289
Iteration 62: (EM) log likelihood = -28039.375
Iteration 63: (EM) log likelihood = -28040.26
Iteration 64: (EM) log likelihood = -28041.004
Iteration 65: (EM) log likelihood = -28041.619
Iteration 66: (EM) log likelihood = -28042.115
Iteration 67: (EM) log likelihood = -28042.479
Iteration 68: (EM) log likelihood = -28042.795
Iteration 69: (EM) log likelihood = -28043.018
Iteration 70: (EM) log likelihood = -28043.142
Iteration 71: (EM) log likelihood = -28043.186
Iteration 72: (EM) log likelihood = -28043.145
Iteration 73: (EM) log likelihood = -28043.078
Iteration 74: (EM) log likelihood = -28042.954
Iteration 75: (EM) log likelihood = -28042.797
Iteration 76: (EM) log likelihood = -28042.525
Iteration 77: (EM) log likelihood = -28042.231
Iteration 78: (EM) log likelihood = -28041.838
Iteration 79: (EM) log likelihood = -28041.479
Iteration 80: (EM) log likelihood = -28041.054
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.6247
Iteration 1: (class) log likelihood = -4161.6247
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29154.878
Iteration 1: (outcome) log likelihood = -29154.878
Refining starting values:
Iteration 0: (EM) log likelihood = -33310.276
Iteration 1: (EM) log likelihood = -33290.268
Iteration 2: (EM) log likelihood = -33234.442
Iteration 3: (EM) log likelihood = -33069.882
Iteration 4: (EM) log likelihood = -32600.436
Iteration 5: (EM) log likelihood = -31659.416
Iteration 6: (EM) log likelihood = -30615.062
Iteration 7: (EM) log likelihood = -29868.727
Iteration 8: (EM) log likelihood = -29408.987
Iteration 9: (EM) log likelihood = -29141.802
Iteration 10: (EM) log likelihood = -29006.913
Iteration 11: (EM) log likelihood = -28944.581
Iteration 12: (EM) log likelihood = -28913.838
Iteration 13: (EM) log likelihood = -28895.083
Iteration 14: (EM) log likelihood = -28881.748
Iteration 15: (EM) log likelihood = -28870.339
Iteration 16: (EM) log likelihood = -28859.604
Iteration 17: (EM) log likelihood = -28849.46
Iteration 18: (EM) log likelihood = -28839.34
Iteration 19: (EM) log likelihood = -28829.04
Iteration 20: (EM) log likelihood = -28818.793
Iteration 21: (EM) log likelihood = -28808.849
Iteration 22: (EM) log likelihood = -28798.868
Iteration 23: (EM) log likelihood = -28788.578
Iteration 24: (EM) log likelihood = -28778.283
Iteration 25: (EM) log likelihood = -28768.194
Iteration 26: (EM) log likelihood = -28758.671
Iteration 27: (EM) log likelihood = -28748.596
Iteration 28: (EM) log likelihood = -28738.48
Iteration 29: (EM) log likelihood = -28728.155
Iteration 30: (EM) log likelihood = -28717.916
Iteration 31: (EM) log likelihood = -28707.805
Iteration 32: (EM) log likelihood = -28697.876
Iteration 33: (EM) log likelihood = -28687.402
Iteration 34: (EM) log likelihood = -28677.476
Iteration 35: (EM) log likelihood = -28667.603
Iteration 36: (EM) log likelihood = -28657.776
Iteration 37: (EM) log likelihood = -28647.968
Iteration 38: (EM) log likelihood = -28638.213
Iteration 39: (EM) log likelihood = -28628.44
Iteration 40: (EM) log likelihood = -28618.756
Iteration 41: (EM) log likelihood = -28609.171
Iteration 42: (EM) log likelihood = -28599.427
Iteration 43: (EM) log likelihood = -28590.269
Iteration 44: (EM) log likelihood = -28581.227
Iteration 45: (EM) log likelihood = -28572.283
Iteration 46: (EM) log likelihood = -28563.056
Iteration 47: (EM) log likelihood = -28554.339
Iteration 48: (EM) log likelihood = -28545.619
Iteration 49: (EM) log likelihood = -28536.967
Iteration 50: (EM) log likelihood = -28528.361
Iteration 51: (EM) log likelihood = -28520.254
Iteration 52: (EM) log likelihood = -28512.254
Iteration 53: (EM) log likelihood = -28504.655
Iteration 54: (EM) log likelihood = -28497.144
Iteration 55: (EM) log likelihood = -28489.717
Iteration 56: (EM) log likelihood = -28482.494
Iteration 57: (EM) log likelihood = -28475.449
Iteration 58: (EM) log likelihood = -28468.602
Iteration 59: (EM) log likelihood = -28461.662
Iteration 60: (EM) log likelihood = -28455.099
Iteration 61: (EM) log likelihood = -28448.729
Iteration 62: (EM) log likelihood = -28442.295
Iteration 63: (EM) log likelihood = -28436.467
Iteration 64: (EM) log likelihood = -28431.146
Iteration 65: (EM) log likelihood = -28425.114
Iteration 66: (EM) log likelihood = -28419.412
Iteration 67: (EM) log likelihood = -28413.561
Iteration 68: (EM) log likelihood = -28407.892
Iteration 69: (EM) log likelihood = -28402.633
Iteration 70: (EM) log likelihood = -28397.461
Iteration 71: (EM) log likelihood = -28392.483
Iteration 72: (EM) log likelihood = -28387.604
Iteration 73: (EM) log likelihood = -28382.51
Iteration 74: (EM) log likelihood = -28377.735
Iteration 75: (EM) log likelihood = -28373.086
Iteration 76: (EM) log likelihood = -28368.651
Iteration 77: (EM) log likelihood = -28364.052
Iteration 78: (EM) log likelihood = -28359.71
Iteration 79: (EM) log likelihood = -28355.482
Iteration 80: (EM) log likelihood = -28351.392
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.554
Iteration 1: (class) log likelihood = -4162.554
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29138.648
Iteration 1: (outcome) log likelihood = -29138.648
Refining starting values:
Iteration 0: (EM) log likelihood = -33284.626
Iteration 1: (EM) log likelihood = -33228.873
Iteration 2: (EM) log likelihood = -33062.784
Iteration 3: (EM) log likelihood = -32664.511
Iteration 4: (EM) log likelihood = -32035.123
Iteration 5: (EM) log likelihood = -31337.552
Iteration 6: (EM) log likelihood = -30644.471
Iteration 7: (EM) log likelihood = -29992.397
Iteration 8: (EM) log likelihood = -29469.581
Iteration 9: (EM) log likelihood = -29101.059
Iteration 10: (EM) log likelihood = -28864.826
Iteration 11: (EM) log likelihood = -28748.378
Iteration 12: (EM) log likelihood = -28699.184
Iteration 13: (EM) log likelihood = -28678.242
Iteration 14: (EM) log likelihood = -28668.268
Iteration 15: (EM) log likelihood = -28662.997
Iteration 16: (EM) log likelihood = -28659.714
Iteration 17: (EM) log likelihood = -28656.791
Iteration 18: (EM) log likelihood = -28653.762
Iteration 19: (EM) log likelihood = -28650.45
Iteration 20: (EM) log likelihood = -28645.858
Iteration 21: (EM) log likelihood = -28639.754
Iteration 22: (EM) log likelihood = -28631.766
Iteration 23: (EM) log likelihood = -28620.931
Iteration 24: (EM) log likelihood = -28606.068
Iteration 25: (EM) log likelihood = -28587.219
Iteration 26: (EM) log likelihood = -28565.368
Iteration 27: (EM) log likelihood = -28541.089
Iteration 28: (EM) log likelihood = -28515.738
Iteration 29: (EM) log likelihood = -28490.243
Iteration 30: (EM) log likelihood = -28465.266
Iteration 31: (EM) log likelihood = -28441.175
Iteration 32: (EM) log likelihood = -28419.061
Iteration 33: (EM) log likelihood = -28398.167
Iteration 34: (EM) log likelihood = -28378.587
Iteration 35: (EM) log likelihood = -28360.385
Iteration 36: (EM) log likelihood = -28343.446
Iteration 37: (EM) log likelihood = -28328.021
Iteration 38: (EM) log likelihood = -28313.337
Iteration 39: (EM) log likelihood = -28299.56
Iteration 40: (EM) log likelihood = -28286.681
Iteration 41: (EM) log likelihood = -28274.605
Iteration 42: (EM) log likelihood = -28263.039
Iteration 43: (EM) log likelihood = -28252.209
Iteration 44: (EM) log likelihood = -28242.072
Iteration 45: (EM) log likelihood = -28233.576
Iteration 46: (EM) log likelihood = -28224.749
Iteration 47: (EM) log likelihood = -28216.291
Iteration 48: (EM) log likelihood = -28207.803
Iteration 49: (EM) log likelihood = -28199.791
Iteration 50: (EM) log likelihood = -28192.196
Iteration 51: (EM) log likelihood = -28184.823
Iteration 52: (EM) log likelihood = -28177.814
Iteration 53: (EM) log likelihood = -28171.148
Iteration 54: (EM) log likelihood = -28164.764
Iteration 55: (EM) log likelihood = -28158.498
Iteration 56: (EM) log likelihood = -28152.396
Iteration 57: (EM) log likelihood = -28146.422
Iteration 58: (EM) log likelihood = -28140.719
Iteration 59: (EM) log likelihood = -28134.744
Iteration 60: (EM) log likelihood = -28125.467
Iteration 61: (EM) log likelihood = -28118.986
Iteration 62: (EM) log likelihood = -28112.931
Iteration 63: (EM) log likelihood = -28109.382
Iteration 64: (EM) log likelihood = -28103.773
Iteration 65: (EM) log likelihood = -28098.501
Iteration 66: (EM) log likelihood = -28093.373
Iteration 67: (EM) log likelihood = -28088.471
Iteration 68: (EM) log likelihood = -28083.851
Iteration 69: (EM) log likelihood = -28079.028
Iteration 70: (EM) log likelihood = -28074.853
Iteration 71: (EM) log likelihood = -28070.885
Iteration 72: (EM) log likelihood = -28067.084
Iteration 73: (EM) log likelihood = -28063.024
Iteration 74: (EM) log likelihood = -28059.844
Iteration 75: (EM) log likelihood = -28056.145
Iteration 76: (EM) log likelihood = -28052.755
Iteration 77: (EM) log likelihood = -28049.365
Iteration 78: (EM) log likelihood = -28046.151
Iteration 79: (EM) log likelihood = -28043.145
Iteration 80: (EM) log likelihood = -28040.257
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.7367
Iteration 1: (class) log likelihood = -4161.7367
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29153.233
Iteration 1: (outcome) log likelihood = -29153.233
Refining starting values:
Iteration 0: (EM) log likelihood = -33301.484
Iteration 1: (EM) log likelihood = -33243.213
Iteration 2: (EM) log likelihood = -33041.06
Iteration 3: (EM) log likelihood = -32515.154
Iteration 4: (EM) log likelihood = -31639.481
Iteration 5: (EM) log likelihood = -30684.211
Iteration 6: (EM) log likelihood = -29926.971
Iteration 7: (EM) log likelihood = -29434.485
Iteration 8: (EM) log likelihood = -29142.9
Iteration 9: (EM) log likelihood = -29000.362
Iteration 10: (EM) log likelihood = -28937.585
Iteration 11: (EM) log likelihood = -28908.93
Iteration 12: (EM) log likelihood = -28895.06
Iteration 13: (EM) log likelihood = -28887.726
Iteration 14: (EM) log likelihood = -28883.739
Iteration 15: (EM) log likelihood = -28881.019
Iteration 16: (EM) log likelihood = -28878.929
Iteration 17: (EM) log likelihood = -28876.965
Iteration 18: (EM) log likelihood = -28875.304
Iteration 19: (EM) log likelihood = -28872.611
Iteration 20: (EM) log likelihood = -28869.516
Iteration 21: (EM) log likelihood = -28865.982
Iteration 22: (EM) log likelihood = -28861.879
Iteration 23: (EM) log likelihood = -28857.18
Iteration 24: (EM) log likelihood = -28851.999
Iteration 25: (EM) log likelihood = -28846.512
Iteration 26: (EM) log likelihood = -28840.178
Iteration 27: (EM) log likelihood = -28833.611
Iteration 28: (EM) log likelihood = -28826.41
Iteration 29: (EM) log likelihood = -28819.18
Iteration 30: (EM) log likelihood = -28811.276
Iteration 31: (EM) log likelihood = -28803.169
Iteration 32: (EM) log likelihood = -28794.918
Iteration 33: (EM) log likelihood = -28786.778
Iteration 34: (EM) log likelihood = -28778.093
Iteration 35: (EM) log likelihood = -28769.268
Iteration 36: (EM) log likelihood = -28759.694
Iteration 37: (EM) log likelihood = -28750.802
Iteration 38: (EM) log likelihood = -28741.459
Iteration 39: (EM) log likelihood = -28732.553
Iteration 40: (EM) log likelihood = -28722.469
Iteration 41: (EM) log likelihood = -28713.019
Iteration 42: (EM) log likelihood = -28703.663
Iteration 43: (EM) log likelihood = -28694.184
Iteration 44: (EM) log likelihood = -28684.576
Iteration 45: (EM) log likelihood = -28674.995
Iteration 46: (EM) log likelihood = -28665.38
Iteration 47: (EM) log likelihood = -28655.973
Iteration 48: (EM) log likelihood = -28646.304
Iteration 49: (EM) log likelihood = -28636.668
Iteration 50: (EM) log likelihood = -28627.231
Iteration 51: (EM) log likelihood = -28617.827
Iteration 52: (EM) log likelihood = -28608.635
Iteration 53: (EM) log likelihood = -28599.318
Iteration 54: (EM) log likelihood = -28590.193
Iteration 55: (EM) log likelihood = -28581.226
Iteration 56: (EM) log likelihood = -28573.332
Iteration 57: (EM) log likelihood = -28564.328
Iteration 58: (EM) log likelihood = -28556.072
Iteration 59: (EM) log likelihood = -28547.425
Iteration 60: (EM) log likelihood = -28538.376
Iteration 61: (EM) log likelihood = -28530.256
Iteration 62: (EM) log likelihood = -28522.25
Iteration 63: (EM) log likelihood = -28514.346
Iteration 64: (EM) log likelihood = -28506.59
Iteration 65: (EM) log likelihood = -28498.71
Iteration 66: (EM) log likelihood = -28491.373
Iteration 67: (EM) log likelihood = -28484.189
Iteration 68: (EM) log likelihood = -28477.157
Iteration 69: (EM) log likelihood = -28470.323
Iteration 70: (EM) log likelihood = -28463.466
Iteration 71: (EM) log likelihood = -28456.833
Iteration 72: (EM) log likelihood = -28450.705
Iteration 73: (EM) log likelihood = -28444.624
Iteration 74: (EM) log likelihood = -28438.356
Iteration 75: (EM) log likelihood = -28432.676
Iteration 76: (EM) log likelihood = -28427.118
Iteration 77: (EM) log likelihood = -28421.413
Iteration 78: (EM) log likelihood = -28415.317
Iteration 79: (EM) log likelihood = -28409.758
Iteration 80: (EM) log likelihood = -28404.582
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.3293
Iteration 1: (class) log likelihood = -4161.3293
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29152.166
Iteration 1: (outcome) log likelihood = -29152.166
Refining starting values:
Iteration 0: (EM) log likelihood = -33311.232
Iteration 1: (EM) log likelihood = -33297.76
Iteration 2: (EM) log likelihood = -33247.632
Iteration 3: (EM) log likelihood = -33084.578
Iteration 4: (EM) log likelihood = -32698.439
Iteration 5: (EM) log likelihood = -32124.489
Iteration 6: (EM) log likelihood = -31501.825
Iteration 7: (EM) log likelihood = -30914.734
Iteration 8: (EM) log likelihood = -30404.168
Iteration 9: (EM) log likelihood = -29952.297
Iteration 10: (EM) log likelihood = -29521.624
Iteration 11: (EM) log likelihood = -29098.814
Iteration 12: (EM) log likelihood = -28727.89
Iteration 13: (EM) log likelihood = -28469.454
Iteration 14: (EM) log likelihood = -28320.845
Iteration 15: (EM) log likelihood = -28238.655
Iteration 16: (EM) log likelihood = -28187.983
Iteration 17: (EM) log likelihood = -28151.161
Iteration 18: (EM) log likelihood = -28120.218
Iteration 19: (EM) log likelihood = -28092.577
Iteration 20: (EM) log likelihood = -28067.371
Iteration 21: (EM) log likelihood = -28041.022
Iteration 22: (EM) log likelihood = -28013.713
Iteration 23: (EM) log likelihood = -27984.233
Iteration 24: (EM) log likelihood = -27954.023
Iteration 25: (EM) log likelihood = -27924.692
Iteration 26: (EM) log likelihood = -27896.831
Iteration 27: (EM) log likelihood = -27872.34
Iteration 28: (EM) log likelihood = -27852.134
Iteration 29: (EM) log likelihood = -27834.421
Iteration 30: (EM) log likelihood = -27820.415
Iteration 31: (EM) log likelihood = -27808.871
Iteration 32: (EM) log likelihood = -27801.072
Iteration 33: (EM) log likelihood = -27794.673
Iteration 34: (EM) log likelihood = -27790.144
Iteration 35: (EM) log likelihood = -27786.881
Iteration 36: (EM) log likelihood = -27784.569
Iteration 37: (EM) log likelihood = -27782.919
Iteration 38: (EM) log likelihood = -27781.79
Iteration 39: (EM) log likelihood = -27780.959
Iteration 40: (EM) log likelihood = -27780.469
Iteration 41: (EM) log likelihood = -27780.094
Iteration 42: (EM) log likelihood = -27779.88
Iteration 43: (EM) log likelihood = -27779.769
Iteration 44: (EM) log likelihood = -27779.728
Iteration 45: (EM) log likelihood = -27779.689
Iteration 46: (EM) log likelihood = -27779.702
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.6008
Iteration 1: (class) log likelihood = -4162.6008
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29148.673
Iteration 1: (outcome) log likelihood = -29148.673
Refining starting values:
Iteration 0: (EM) log likelihood = -33298.342
Iteration 1: (EM) log likelihood = -33239.633
Iteration 2: (EM) log likelihood = -33003.624
Iteration 3: (EM) log likelihood = -32295.684
Iteration 4: (EM) log likelihood = -31231.537
Iteration 5: (EM) log likelihood = -30394.063
Iteration 6: (EM) log likelihood = -29822.148
Iteration 7: (EM) log likelihood = -29411.267
Iteration 8: (EM) log likelihood = -29154.143
Iteration 9: (EM) log likelihood = -29017.693
Iteration 10: (EM) log likelihood = -28947.53
Iteration 11: (EM) log likelihood = -28908.723
Iteration 12: (EM) log likelihood = -28884.133
Iteration 13: (EM) log likelihood = -28865.848
Iteration 14: (EM) log likelihood = -28850.627
Iteration 15: (EM) log likelihood = -28836.829
Iteration 16: (EM) log likelihood = -28823.618
Iteration 17: (EM) log likelihood = -28810.747
Iteration 18: (EM) log likelihood = -28798.031
Iteration 19: (EM) log likelihood = -28785.473
Iteration 20: (EM) log likelihood = -28772.859
Iteration 21: (EM) log likelihood = -28760.558
Iteration 22: (EM) log likelihood = -28748.51
Iteration 23: (EM) log likelihood = -28736.564
Iteration 24: (EM) log likelihood = -28724.786
Iteration 25: (EM) log likelihood = -28713.153
Iteration 26: (EM) log likelihood = -28701.425
Iteration 27: (EM) log likelihood = -28690.202
Iteration 28: (EM) log likelihood = -28679.266
Iteration 29: (EM) log likelihood = -28668.484
Iteration 30: (EM) log likelihood = -28657.869
Iteration 31: (EM) log likelihood = -28647.439
Iteration 32: (EM) log likelihood = -28637.63
Iteration 33: (EM) log likelihood = -28627.312
Iteration 34: (EM) log likelihood = -28617.354
Iteration 35: (EM) log likelihood = -28607.533
Iteration 36: (EM) log likelihood = -28597.893
Iteration 37: (EM) log likelihood = -28588.526
Iteration 38: (EM) log likelihood = -28579.334
Iteration 39: (EM) log likelihood = -28571.374
Iteration 40: (EM) log likelihood = -28562.412
Iteration 41: (EM) log likelihood = -28553.607
Iteration 42: (EM) log likelihood = -28544.885
Iteration 43: (EM) log likelihood = -28536.277
Iteration 44: (EM) log likelihood = -28527.979
Iteration 45: (EM) log likelihood = -28519.929
Iteration 46: (EM) log likelihood = -28511.851
Iteration 47: (EM) log likelihood = -28503.816
Iteration 48: (EM) log likelihood = -28496.397
Iteration 49: (EM) log likelihood = -28488.986
Iteration 50: (EM) log likelihood = -28481.764
Iteration 51: (EM) log likelihood = -28474.813
Iteration 52: (EM) log likelihood = -28468.008
Iteration 53: (EM) log likelihood = -28460.91
Iteration 54: (EM) log likelihood = -28454.039
Iteration 55: (EM) log likelihood = -28447.866
Iteration 56: (EM) log likelihood = -28441.556
Iteration 57: (EM) log likelihood = -28435.101
Iteration 58: (EM) log likelihood = -28429.154
Iteration 59: (EM) log likelihood = -28423.249
Iteration 60: (EM) log likelihood = -28417.253
Iteration 61: (EM) log likelihood = -28411.443
Iteration 62: (EM) log likelihood = -28406.143
Iteration 63: (EM) log likelihood = -28400.711
Iteration 64: (EM) log likelihood = -28395.696
Iteration 65: (EM) log likelihood = -28390.742
Iteration 66: (EM) log likelihood = -28385.897
Iteration 67: (EM) log likelihood = -28380.857
Iteration 68: (EM) log likelihood = -28376.155
Iteration 69: (EM) log likelihood = -28371.52
Iteration 70: (EM) log likelihood = -28367.23
Iteration 71: (EM) log likelihood = -28362.639
Iteration 72: (EM) log likelihood = -28358.337
Iteration 73: (EM) log likelihood = -28354.122
Iteration 74: (EM) log likelihood = -28350.38
Iteration 75: (EM) log likelihood = -28346.401
Iteration 76: (EM) log likelihood = -28342.728
Iteration 77: (EM) log likelihood = -28338.884
Iteration 78: (EM) log likelihood = -28335.267
Iteration 79: (EM) log likelihood = -28331.833
Iteration 80: (EM) log likelihood = -28328.453
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.2827
Iteration 1: (class) log likelihood = -4162.2827
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29146.358
Iteration 1: (outcome) log likelihood = -29146.358
Refining starting values:
Iteration 0: (EM) log likelihood = -33297.763
Iteration 1: (EM) log likelihood = -33243.316
Iteration 2: (EM) log likelihood = -33022.094
Iteration 3: (EM) log likelihood = -32361.022
Iteration 4: (EM) log likelihood = -31364.138
Iteration 5: (EM) log likelihood = -30630.867
Iteration 6: (EM) log likelihood = -30214.143
Iteration 7: (EM) log likelihood = -29952.471
Iteration 8: (EM) log likelihood = -29786.946
Iteration 9: (EM) log likelihood = -29684.979
Iteration 10: (EM) log likelihood = -29615.244
Iteration 11: (EM) log likelihood = -29559.869
Iteration 12: (EM) log likelihood = -29511.481
Iteration 13: (EM) log likelihood = -29469.788
Iteration 14: (EM) log likelihood = -29431.907
Iteration 15: (EM) log likelihood = -29397.582
Iteration 16: (EM) log likelihood = -29366.109
Iteration 17: (EM) log likelihood = -29338.87
Iteration 18: (EM) log likelihood = -29313.252
Iteration 19: (EM) log likelihood = -29286.728
Iteration 20: (EM) log likelihood = -29255.904
Iteration 21: (EM) log likelihood = -29215.852
Iteration 22: (EM) log likelihood = -29164.974
Iteration 23: (EM) log likelihood = -29102.919
Iteration 24: (EM) log likelihood = -29036.143
Iteration 25: (EM) log likelihood = -28972.336
Iteration 26: (EM) log likelihood = -28917.819
Iteration 27: (EM) log likelihood = -28874.296
Iteration 28: (EM) log likelihood = -28840.41
Iteration 29: (EM) log likelihood = -28813.585
Iteration 30: (EM) log likelihood = -28791.28
Iteration 31: (EM) log likelihood = -28771.664
Iteration 32: (EM) log likelihood = -28753.254
Iteration 33: (EM) log likelihood = -28735.304
Iteration 34: (EM) log likelihood = -28717.439
Iteration 35: (EM) log likelihood = -28699.248
Iteration 36: (EM) log likelihood = -28680.908
Iteration 37: (EM) log likelihood = -28662.312
Iteration 38: (EM) log likelihood = -28643.524
Iteration 39: (EM) log likelihood = -28624.513
Iteration 40: (EM) log likelihood = -28605.177
Iteration 41: (EM) log likelihood = -28585.755
Iteration 42: (EM) log likelihood = -28566.225
Iteration 43: (EM) log likelihood = -28546.567
Iteration 44: (EM) log likelihood = -28526.516
Iteration 45: (EM) log likelihood = -28504.888
Iteration 46: (EM) log likelihood = -28485.408
Iteration 47: (EM) log likelihood = -28465.198
Iteration 48: (EM) log likelihood = -28445.379
Iteration 49: (EM) log likelihood = -28426.086
Iteration 50: (EM) log likelihood = -28407.127
Iteration 51: (EM) log likelihood = -28392.759
Iteration 52: (EM) log likelihood = -28374.942
Iteration 53: (EM) log likelihood = -28358.195
Iteration 54: (EM) log likelihood = -28341.34
Iteration 55: (EM) log likelihood = -28325.316
Iteration 56: (EM) log likelihood = -28309.761
Iteration 57: (EM) log likelihood = -28295.466
Iteration 58: (EM) log likelihood = -28283.643
Iteration 59: (EM) log likelihood = -28270.349
Iteration 60: (EM) log likelihood = -28258.019
Iteration 61: (EM) log likelihood = -28246.417
Iteration 62: (EM) log likelihood = -28235.512
Iteration 63: (EM) log likelihood = -28225.26
Iteration 64: (EM) log likelihood = -28215.488
Iteration 65: (EM) log likelihood = -28206.441
Iteration 66: (EM) log likelihood = -28197.842
Iteration 67: (EM) log likelihood = -28189.899
Iteration 68: (EM) log likelihood = -28182.176
Iteration 69: (EM) log likelihood = -28174.465
Iteration 70: (EM) log likelihood = -28167.535
Iteration 71: (EM) log likelihood = -28160.884
Iteration 72: (EM) log likelihood = -28155.088
Iteration 73: (EM) log likelihood = -28148.981
Iteration 74: (EM) log likelihood = -28143.257
Iteration 75: (EM) log likelihood = -28137.054
Iteration 76: (EM) log likelihood = -28131.203
Iteration 77: (EM) log likelihood = -28125.71
Iteration 78: (EM) log likelihood = -28120.401
Iteration 79: (EM) log likelihood = -28115.507
Iteration 80: (EM) log likelihood = -28110.952
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.3758
Iteration 1: (class) log likelihood = -4162.3758
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29161.817
Iteration 1: (outcome) log likelihood = -29161.817
Refining starting values:
Iteration 0: (EM) log likelihood = -33322.434
Iteration 1: (EM) log likelihood = -33316.127
Iteration 2: (EM) log likelihood = -33302.711
Iteration 3: (EM) log likelihood = -33274.83
Iteration 4: (EM) log likelihood = -33212.104
Iteration 5: (EM) log likelihood = -33047.182
Iteration 6: (EM) log likelihood = -32584.122
Iteration 7: (EM) log likelihood = -31672.766
Iteration 8: (EM) log likelihood = -30783.11
Iteration 9: (EM) log likelihood = -30191.231
Iteration 10: (EM) log likelihood = -29765.565
Iteration 11: (EM) log likelihood = -29440.425
Iteration 12: (EM) log likelihood = -29213.007
Iteration 13: (EM) log likelihood = -29069.686
Iteration 14: (EM) log likelihood = -28983.199
Iteration 15: (EM) log likelihood = -28930.457
Iteration 16: (EM) log likelihood = -28897.245
Iteration 17: (EM) log likelihood = -28875.603
Iteration 18: (EM) log likelihood = -28861.408
Iteration 19: (EM) log likelihood = -28850.992
Iteration 20: (EM) log likelihood = -28843.644
Iteration 21: (EM) log likelihood = -28837.895
Iteration 22: (EM) log likelihood = -28833.426
Iteration 23: (EM) log likelihood = -28829.465
Iteration 24: (EM) log likelihood = -28825.749
Iteration 25: (EM) log likelihood = -28821.982
Iteration 26: (EM) log likelihood = -28817.797
Iteration 27: (EM) log likelihood = -28813.077
Iteration 28: (EM) log likelihood = -28807.604
Iteration 29: (EM) log likelihood = -28801.075
Iteration 30: (EM) log likelihood = -28793.62
Iteration 31: (EM) log likelihood = -28785.223
Iteration 32: (EM) log likelihood = -28775.929
Iteration 33: (EM) log likelihood = -28765.847
Iteration 34: (EM) log likelihood = -28755.427
Iteration 35: (EM) log likelihood = -28744.313
Iteration 36: (EM) log likelihood = -28733.113
Iteration 37: (EM) log likelihood = -28721.799
Iteration 38: (EM) log likelihood = -28710.471
Iteration 39: (EM) log likelihood = -28699.172
Iteration 40: (EM) log likelihood = -28687.907
Iteration 41: (EM) log likelihood = -28676.858
Iteration 42: (EM) log likelihood = -28665.915
Iteration 43: (EM) log likelihood = -28655.26
Iteration 44: (EM) log likelihood = -28644.775
Iteration 45: (EM) log likelihood = -28634.494
Iteration 46: (EM) log likelihood = -28624.557
Iteration 47: (EM) log likelihood = -28614.532
Iteration 48: (EM) log likelihood = -28604.804
Iteration 49: (EM) log likelihood = -28595.238
Iteration 50: (EM) log likelihood = -28585.912
Iteration 51: (EM) log likelihood = -28576.757
Iteration 52: (EM) log likelihood = -28567.87
Iteration 53: (EM) log likelihood = -28558.965
Iteration 54: (EM) log likelihood = -28550.205
Iteration 55: (EM) log likelihood = -28541.894
Iteration 56: (EM) log likelihood = -28533.646
Iteration 57: (EM) log likelihood = -28525.516
Iteration 58: (EM) log likelihood = -28517.475
Iteration 59: (EM) log likelihood = -28509.562
Iteration 60: (EM) log likelihood = -28502.521
Iteration 61: (EM) log likelihood = -28494.731
Iteration 62: (EM) log likelihood = -28487.296
Iteration 63: (EM) log likelihood = -28479.7
Iteration 64: (EM) log likelihood = -28472.77
Iteration 65: (EM) log likelihood = -28465.901
Iteration 66: (EM) log likelihood = -28458.635
Iteration 67: (EM) log likelihood = -28452.201
Iteration 68: (EM) log likelihood = -28445.892
Iteration 69: (EM) log likelihood = -28439.799
Iteration 70: (EM) log likelihood = -28433.83
Iteration 71: (EM) log likelihood = -28427.945
Iteration 72: (EM) log likelihood = -28422.992
Iteration 73: (EM) log likelihood = -28417.39
Iteration 74: (EM) log likelihood = -28411.814
Iteration 75: (EM) log likelihood = -28406.416
Iteration 76: (EM) log likelihood = -28401.062
Iteration 77: (EM) log likelihood = -28395.775
Iteration 78: (EM) log likelihood = -28390.593
Iteration 79: (EM) log likelihood = -28385.786
Iteration 80: (EM) log likelihood = -28380.589
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.2863
Iteration 1: (class) log likelihood = -4162.2863
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29151.438
Iteration 1: (outcome) log likelihood = -29151.438
Refining starting values:
Iteration 0: (EM) log likelihood = -33308.285
Iteration 1: (EM) log likelihood = -33281.2
Iteration 2: (EM) log likelihood = -33181.218
Iteration 3: (EM) log likelihood = -32879.622
Iteration 4: (EM) log likelihood = -32262.996
Iteration 5: (EM) log likelihood = -31459.255
Iteration 6: (EM) log likelihood = -30716.271
Iteration 7: (EM) log likelihood = -30133.044
Iteration 8: (EM) log likelihood = -29665.295
Iteration 9: (EM) log likelihood = -29319.713
Iteration 10: (EM) log likelihood = -29111.887
Iteration 11: (EM) log likelihood = -29001.417
Iteration 12: (EM) log likelihood = -28944.378
Iteration 13: (EM) log likelihood = -28915.063
Iteration 14: (EM) log likelihood = -28900.168
Iteration 15: (EM) log likelihood = -28893.647
Iteration 16: (EM) log likelihood = -28890.572
Iteration 17: (EM) log likelihood = -28890.065
Iteration 18: (EM) log likelihood = -28890.114
Iteration 19: (EM) log likelihood = -28890.724
Iteration 20: (EM) log likelihood = -28891.454
Iteration 21: (EM) log likelihood = -28892.38
Iteration 22: (EM) log likelihood = -28892.794
Iteration 23: (EM) log likelihood = -28892.197
Iteration 24: (EM) log likelihood = -28891.378
Iteration 25: (EM) log likelihood = -28889.696
Iteration 26: (EM) log likelihood = -28887.326
Iteration 27: (EM) log likelihood = -28883.931
Iteration 28: (EM) log likelihood = -28879.742
Iteration 29: (EM) log likelihood = -28874.517
Iteration 30: (EM) log likelihood = -28868.884
Iteration 31: (EM) log likelihood = -28862.598
Iteration 32: (EM) log likelihood = -28855.831
Iteration 33: (EM) log likelihood = -28848.262
Iteration 34: (EM) log likelihood = -28840.328
Iteration 35: (EM) log likelihood = -28831.783
Iteration 36: (EM) log likelihood = -28822.725
Iteration 37: (EM) log likelihood = -28813.777
Iteration 38: (EM) log likelihood = -28804.533
Iteration 39: (EM) log likelihood = -28794.985
Iteration 40: (EM) log likelihood = -28785.394
Iteration 41: (EM) log likelihood = -28775.549
Iteration 42: (EM) log likelihood = -28765.616
Iteration 43: (EM) log likelihood = -28755.706
Iteration 44: (EM) log likelihood = -28746.093
Iteration 45: (EM) log likelihood = -28735.843
Iteration 46: (EM) log likelihood = -28725.828
Iteration 47: (EM) log likelihood = -28715.728
Iteration 48: (EM) log likelihood = -28705.654
Iteration 49: (EM) log likelihood = -28695.568
Iteration 50: (EM) log likelihood = -28685.477
Iteration 51: (EM) log likelihood = -28675.459
Iteration 52: (EM) log likelihood = -28665.39
Iteration 53: (EM) log likelihood = -28655.414
Iteration 54: (EM) log likelihood = -28645.775
Iteration 55: (EM) log likelihood = -28635.838
Iteration 56: (EM) log likelihood = -28625.735
Iteration 57: (EM) log likelihood = -28616.101
Iteration 58: (EM) log likelihood = -28606.281
Iteration 59: (EM) log likelihood = -28596.542
Iteration 60: (EM) log likelihood = -28587.125
Iteration 61: (EM) log likelihood = -28577.811
Iteration 62: (EM) log likelihood = -28569.925
Iteration 63: (EM) log likelihood = -28560.362
Iteration 64: (EM) log likelihood = -28551.496
Iteration 65: (EM) log likelihood = -28542.787
Iteration 66: (EM) log likelihood = -28534.201
Iteration 67: (EM) log likelihood = -28525.809
Iteration 68: (EM) log likelihood = -28517.46
Iteration 69: (EM) log likelihood = -28509.532
Iteration 70: (EM) log likelihood = -28501.551
Iteration 71: (EM) log likelihood = -28493.869
Iteration 72: (EM) log likelihood = -28486.348
Iteration 73: (EM) log likelihood = -28479.03
Iteration 74: (EM) log likelihood = -28471.904
Iteration 75: (EM) log likelihood = -28464.92
Iteration 76: (EM) log likelihood = -28458.279
Iteration 77: (EM) log likelihood = -28451.734
Iteration 78: (EM) log likelihood = -28445.129
Iteration 79: (EM) log likelihood = -28438.81
Iteration 80: (EM) log likelihood = -28432.685
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.9922
Iteration 1: (class) log likelihood = -4161.9922
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29149.235
Iteration 1: (outcome) log likelihood = -29149.235
Refining starting values:
Iteration 0: (EM) log likelihood = -33296.821
Iteration 1: (EM) log likelihood = -33244.722
Iteration 2: (EM) log likelihood = -33062.088
Iteration 3: (EM) log likelihood = -32495.262
Iteration 4: (EM) log likelihood = -31444.127
Iteration 5: (EM) log likelihood = -30459.381
Iteration 6: (EM) log likelihood = -29799.669
Iteration 7: (EM) log likelihood = -29368.929
Iteration 8: (EM) log likelihood = -29101.739
Iteration 9: (EM) log likelihood = -28958.398
Iteration 10: (EM) log likelihood = -28884.78
Iteration 11: (EM) log likelihood = -28842.819
Iteration 12: (EM) log likelihood = -28814.375
Iteration 13: (EM) log likelihood = -28791.699
Iteration 14: (EM) log likelihood = -28771.964
Iteration 15: (EM) log likelihood = -28754.729
Iteration 16: (EM) log likelihood = -28738.992
Iteration 17: (EM) log likelihood = -28723.417
Iteration 18: (EM) log likelihood = -28709.319
Iteration 19: (EM) log likelihood = -28696.398
Iteration 20: (EM) log likelihood = -28684.322
Iteration 21: (EM) log likelihood = -28671.334
Iteration 22: (EM) log likelihood = -28659.289
Iteration 23: (EM) log likelihood = -28647.566
Iteration 24: (EM) log likelihood = -28636.419
Iteration 25: (EM) log likelihood = -28625.182
Iteration 26: (EM) log likelihood = -28614.066
Iteration 27: (EM) log likelihood = -28603.585
Iteration 28: (EM) log likelihood = -28593.267
Iteration 29: (EM) log likelihood = -28583.203
Iteration 30: (EM) log likelihood = -28573.323
Iteration 31: (EM) log likelihood = -28563.467
Iteration 32: (EM) log likelihood = -28555.13
Iteration 33: (EM) log likelihood = -28545.833
Iteration 34: (EM) log likelihood = -28536.502
Iteration 35: (EM) log likelihood = -28527.714
Iteration 36: (EM) log likelihood = -28519.104
Iteration 37: (EM) log likelihood = -28510.644
Iteration 38: (EM) log likelihood = -28502.462
Iteration 39: (EM) log likelihood = -28493.861
Iteration 40: (EM) log likelihood = -28486.236
Iteration 41: (EM) log likelihood = -28478.868
Iteration 42: (EM) log likelihood = -28471.495
Iteration 43: (EM) log likelihood = -28464.352
Iteration 44: (EM) log likelihood = -28457.605
Iteration 45: (EM) log likelihood = -28450.808
Iteration 46: (EM) log likelihood = -28443.869
Iteration 47: (EM) log likelihood = -28437.047
Iteration 48: (EM) log likelihood = -28430.787
Iteration 49: (EM) log likelihood = -28424.685
Iteration 50: (EM) log likelihood = -28418.779
Iteration 51: (EM) log likelihood = -28412.982
Iteration 52: (EM) log likelihood = -28407.002
Iteration 53: (EM) log likelihood = -28401.47
Iteration 54: (EM) log likelihood = -28396.032
Iteration 55: (EM) log likelihood = -28390.225
Iteration 56: (EM) log likelihood = -28384.359
Iteration 57: (EM) log likelihood = -28379.634
Iteration 58: (EM) log likelihood = -28374.947
Iteration 59: (EM) log likelihood = -28370.253
Iteration 60: (EM) log likelihood = -28365.895
Iteration 61: (EM) log likelihood = -28361.349
Iteration 62: (EM) log likelihood = -28356.616
Iteration 63: (EM) log likelihood = -28351.762
Iteration 64: (EM) log likelihood = -28347.671
Iteration 65: (EM) log likelihood = -28343.594
Iteration 66: (EM) log likelihood = -28339.654
Iteration 67: (EM) log likelihood = -28335.754
Iteration 68: (EM) log likelihood = -28331.779
Iteration 69: (EM) log likelihood = -28328.051
Iteration 70: (EM) log likelihood = -28325.123
Iteration 71: (EM) log likelihood = -28321.615
Iteration 72: (EM) log likelihood = -28318.19
Iteration 73: (EM) log likelihood = -28314.899
Iteration 74: (EM) log likelihood = -28311.606
Iteration 75: (EM) log likelihood = -28308.479
Iteration 76: (EM) log likelihood = -28305.155
Iteration 77: (EM) log likelihood = -28302.312
Iteration 78: (EM) log likelihood = -28299.134
Iteration 79: (EM) log likelihood = -28295.717
Iteration 80: (EM) log likelihood = -28293.008
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.5651
Iteration 1: (class) log likelihood = -4162.5651
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29139.814
Iteration 1: (outcome) log likelihood = -29139.814
Refining starting values:
Iteration 0: (EM) log likelihood = -33269.508
Iteration 1: (EM) log likelihood = -33158.822
Iteration 2: (EM) log likelihood = -32831.974
Iteration 3: (EM) log likelihood = -32165.075
Iteration 4: (EM) log likelihood = -31317.595
Iteration 5: (EM) log likelihood = -30541.338
Iteration 6: (EM) log likelihood = -29923.977
Iteration 7: (EM) log likelihood = -29476.947
Iteration 8: (EM) log likelihood = -29175.091
Iteration 9: (EM) log likelihood = -29013.923
Iteration 10: (EM) log likelihood = -28936.303
Iteration 11: (EM) log likelihood = -28897.917
Iteration 12: (EM) log likelihood = -28878.628
Iteration 13: (EM) log likelihood = -28869.286
Iteration 14: (EM) log likelihood = -28865.461
Iteration 15: (EM) log likelihood = -28865.621
Iteration 16: (EM) log likelihood = -28867.01
Iteration 17: (EM) log likelihood = -28869.439
Iteration 18: (EM) log likelihood = -28872.199
Iteration 19: (EM) log likelihood = -28875.414
Iteration 20: (EM) log likelihood = -28878.754
Iteration 21: (EM) log likelihood = -28882.357
Iteration 22: (EM) log likelihood = -28885.495
Iteration 23: (EM) log likelihood = -28888.652
Iteration 24: (EM) log likelihood = -28891.7
Iteration 25: (EM) log likelihood = -28894.71
Iteration 26: (EM) log likelihood = -28897.506
Iteration 27: (EM) log likelihood = -28900.113
Iteration 28: (EM) log likelihood = -28902.343
Iteration 29: (EM) log likelihood = -28904.368
Iteration 30: (EM) log likelihood = -28906.033
Iteration 31: (EM) log likelihood = -28907.344
Iteration 32: (EM) log likelihood = -28908.106
Iteration 33: (EM) log likelihood = -28908.581
Iteration 34: (EM) log likelihood = -28908.407
Iteration 35: (EM) log likelihood = -28907.543
Iteration 36: (EM) log likelihood = -28906.228
Iteration 37: (EM) log likelihood = -28903.75
Iteration 38: (EM) log likelihood = -28901.158
Iteration 39: (EM) log likelihood = -28896.96
Iteration 40: (EM) log likelihood = -28891.912
Iteration 41: (EM) log likelihood = -28885.856
Iteration 42: (EM) log likelihood = -28878.905
Iteration 43: (EM) log likelihood = -28871.302
Iteration 44: (EM) log likelihood = -28863.064
Iteration 45: (EM) log likelihood = -28854.655
Iteration 46: (EM) log likelihood = -28845.008
Iteration 47: (EM) log likelihood = -28834.828
Iteration 48: (EM) log likelihood = -28824.655
Iteration 49: (EM) log likelihood = -28813.874
Iteration 50: (EM) log likelihood = -28803.58
Iteration 51: (EM) log likelihood = -28792.259
Iteration 52: (EM) log likelihood = -28781.245
Iteration 53: (EM) log likelihood = -28770.132
Iteration 54: (EM) log likelihood = -28758.69
Iteration 55: (EM) log likelihood = -28747.82
Iteration 56: (EM) log likelihood = -28736.375
Iteration 57: (EM) log likelihood = -28724.727
Iteration 58: (EM) log likelihood = -28713.516
Iteration 59: (EM) log likelihood = -28702.369
Iteration 60: (EM) log likelihood = -28691.232
Iteration 61: (EM) log likelihood = -28680.465
Iteration 62: (EM) log likelihood = -28669.585
Iteration 63: (EM) log likelihood = -28658.843
Iteration 64: (EM) log likelihood = -28648.119
Iteration 65: (EM) log likelihood = -28637.111
Iteration 66: (EM) log likelihood = -28626.936
Iteration 67: (EM) log likelihood = -28616.578
Iteration 68: (EM) log likelihood = -28606.316
Iteration 69: (EM) log likelihood = -28596.378
Iteration 70: (EM) log likelihood = -28586.339
Iteration 71: (EM) log likelihood = -28576.784
Iteration 72: (EM) log likelihood = -28567.244
Iteration 73: (EM) log likelihood = -28557.798
Iteration 74: (EM) log likelihood = -28548.488
Iteration 75: (EM) log likelihood = -28539.493
Iteration 76: (EM) log likelihood = -28530.801
Iteration 77: (EM) log likelihood = -28522.029
Iteration 78: (EM) log likelihood = -28512.995
Iteration 79: (EM) log likelihood = -28504.782
Iteration 80: (EM) log likelihood = -28496.614
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.3776
Iteration 1: (class) log likelihood = -4162.3776
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29931.966
Iteration 1: (outcome) log likelihood = -29256.557
Iteration 2: (outcome) log likelihood = -29183.311
Iteration 3: (outcome) log likelihood = -29161.29
Iteration 4: (outcome) log likelihood = -29156.41
Iteration 5: (outcome) log likelihood = -29155.405
Iteration 6: (outcome) log likelihood = -29155.2
Iteration 7: (outcome) log likelihood = -29155.152
Iteration 8: (outcome) log likelihood = -29155.141
Iteration 9: (outcome) log likelihood = -29155.138
Iteration 10: (outcome) log likelihood = -29155.138
Iteration 11: (outcome) log likelihood = -29155.138
Iteration 12: (outcome) log likelihood = -29155.138
Refining starting values:
Iteration 0: (EM) log likelihood = -33313.634
Iteration 1: (EM) log likelihood = -33294.267
Iteration 2: (EM) log likelihood = -33215.526
Iteration 3: (EM) log likelihood = -32918.958
Iteration 4: (EM) log likelihood = -32158.284
Iteration 5: (EM) log likelihood = -31193.781
Iteration 6: (EM) log likelihood = -30497.505
Iteration 7: (EM) log likelihood = -30029.265
Iteration 8: (EM) log likelihood = -29667.543
Iteration 9: (EM) log likelihood = -29395.248
Iteration 10: (EM) log likelihood = -29213.931
Iteration 11: (EM) log likelihood = -29101.23
Iteration 12: (EM) log likelihood = -29033.463
Iteration 13: (EM) log likelihood = -28993.525
Iteration 14: (EM) log likelihood = -28970.09
Iteration 15: (EM) log likelihood = -28955.946
Iteration 16: (EM) log likelihood = -28946.754
Iteration 17: (EM) log likelihood = -28938.58
Iteration 18: (EM) log likelihood = -28931.863
Iteration 19: (EM) log likelihood = -28925.784
Iteration 20: (EM) log likelihood = -28919.309
Iteration 21: (EM) log likelihood = -28912.225
Iteration 22: (EM) log likelihood = -28905.323
Iteration 23: (EM) log likelihood = -28897.16
Iteration 24: (EM) log likelihood = -28888.534
Iteration 25: (EM) log likelihood = -28879.044
Iteration 26: (EM) log likelihood = -28868.848
Iteration 27: (EM) log likelihood = -28858.683
Iteration 28: (EM) log likelihood = -28847.241
Iteration 29: (EM) log likelihood = -28836.324
Iteration 30: (EM) log likelihood = -28825.16
Iteration 31: (EM) log likelihood = -28814.05
Iteration 32: (EM) log likelihood = -28803.052
Iteration 33: (EM) log likelihood = -28791.715
Iteration 34: (EM) log likelihood = -28781.051
Iteration 35: (EM) log likelihood = -28770.255
Iteration 36: (EM) log likelihood = -28759.524
Iteration 37: (EM) log likelihood = -28748.819
Iteration 38: (EM) log likelihood = -28738.852
Iteration 39: (EM) log likelihood = -28727.909
Iteration 40: (EM) log likelihood = -28718.406
Iteration 41: (EM) log likelihood = -28708.956
Iteration 42: (EM) log likelihood = -28699.523
Iteration 43: (EM) log likelihood = -28690.41
Iteration 44: (EM) log likelihood = -28681.234
Iteration 45: (EM) log likelihood = -28672.399
Iteration 46: (EM) log likelihood = -28663.629
Iteration 47: (EM) log likelihood = -28655.29
Iteration 48: (EM) log likelihood = -28647.256
Iteration 49: (EM) log likelihood = -28639.347
Iteration 50: (EM) log likelihood = -28630.865
Iteration 51: (EM) log likelihood = -28623.584
Iteration 52: (EM) log likelihood = -28616.48
Iteration 53: (EM) log likelihood = -28609.667
Iteration 54: (EM) log likelihood = -28603.027
Iteration 55: (EM) log likelihood = -28596.67
Iteration 56: (EM) log likelihood = -28590.212
Iteration 57: (EM) log likelihood = -28584.663
Iteration 58: (EM) log likelihood = -28578.937
Iteration 59: (EM) log likelihood = -28572.927
Iteration 60: (EM) log likelihood = -28567.599
Iteration 61: (EM) log likelihood = -28562.36
Iteration 62: (EM) log likelihood = -28557.3
Iteration 63: (EM) log likelihood = -28552.388
Iteration 64: (EM) log likelihood = -28547.746
Iteration 65: (EM) log likelihood = -28543.334
Iteration 66: (EM) log likelihood = -28539.018
Iteration 67: (EM) log likelihood = -28534.723
Iteration 68: (EM) log likelihood = -28530.687
Iteration 69: (EM) log likelihood = -28526.035
Iteration 70: (EM) log likelihood = -28522.462
Iteration 71: (EM) log likelihood = -28519.084
Iteration 72: (EM) log likelihood = -28515.718
Iteration 73: (EM) log likelihood = -28512.476
Iteration 74: (EM) log likelihood = -28509.541
Iteration 75: (EM) log likelihood = -28506.722
Iteration 76: (EM) log likelihood = -28504.22
Iteration 77: (EM) log likelihood = -28501.466
Iteration 78: (EM) log likelihood = -28498.786
Iteration 79: (EM) log likelihood = -28496.374
Iteration 80: (EM) log likelihood = -28493.965
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4160.5023
Iteration 1: (class) log likelihood = -4160.5023
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29138.142
Iteration 1: (outcome) log likelihood = -29138.142
Refining starting values:
Iteration 0: (EM) log likelihood = -33288.826
Iteration 1: (EM) log likelihood = -33251.195
Iteration 2: (EM) log likelihood = -33117.091
Iteration 3: (EM) log likelihood = -32679.503
Iteration 4: (EM) log likelihood = -31750.48
Iteration 5: (EM) log likelihood = -30729.463
Iteration 6: (EM) log likelihood = -30002.125
Iteration 7: (EM) log likelihood = -29519.1
Iteration 8: (EM) log likelihood = -29214.312
Iteration 9: (EM) log likelihood = -29047.14
Iteration 10: (EM) log likelihood = -28964.716
Iteration 11: (EM) log likelihood = -28924.197
Iteration 12: (EM) log likelihood = -28901.996
Iteration 13: (EM) log likelihood = -28887.244
Iteration 14: (EM) log likelihood = -28875.451
Iteration 15: (EM) log likelihood = -28865.36
Iteration 16: (EM) log likelihood = -28855.511
Iteration 17: (EM) log likelihood = -28845.838
Iteration 18: (EM) log likelihood = -28836.073
Iteration 19: (EM) log likelihood = -28826.379
Iteration 20: (EM) log likelihood = -28816.578
Iteration 21: (EM) log likelihood = -28806.627
Iteration 22: (EM) log likelihood = -28796.704
Iteration 23: (EM) log likelihood = -28786.732
Iteration 24: (EM) log likelihood = -28776.967
Iteration 25: (EM) log likelihood = -28766.856
Iteration 26: (EM) log likelihood = -28756.696
Iteration 27: (EM) log likelihood = -28746.688
Iteration 28: (EM) log likelihood = -28736.424
Iteration 29: (EM) log likelihood = -28726.006
Iteration 30: (EM) log likelihood = -28714.8
Iteration 31: (EM) log likelihood = -28705.106
Iteration 32: (EM) log likelihood = -28695.795
Iteration 33: (EM) log likelihood = -28685.917
Iteration 34: (EM) log likelihood = -28675.931
Iteration 35: (EM) log likelihood = -28665.822
Iteration 36: (EM) log likelihood = -28655.701
Iteration 37: (EM) log likelihood = -28646.14
Iteration 38: (EM) log likelihood = -28636.562
Iteration 39: (EM) log likelihood = -28627.083
Iteration 40: (EM) log likelihood = -28617.649
Iteration 41: (EM) log likelihood = -28608.355
Iteration 42: (EM) log likelihood = -28599.205
Iteration 43: (EM) log likelihood = -28590.073
Iteration 44: (EM) log likelihood = -28581.188
Iteration 45: (EM) log likelihood = -28573.218
Iteration 46: (EM) log likelihood = -28564.349
Iteration 47: (EM) log likelihood = -28555.888
Iteration 48: (EM) log likelihood = -28547.464
Iteration 49: (EM) log likelihood = -28539.604
Iteration 50: (EM) log likelihood = -28531.303
Iteration 51: (EM) log likelihood = -28523.6
Iteration 52: (EM) log likelihood = -28516.008
Iteration 53: (EM) log likelihood = -28508.095
Iteration 54: (EM) log likelihood = -28500.582
Iteration 55: (EM) log likelihood = -28493.236
Iteration 56: (EM) log likelihood = -28486.128
Iteration 57: (EM) log likelihood = -28479.25
Iteration 58: (EM) log likelihood = -28472.401
Iteration 59: (EM) log likelihood = -28465.55
Iteration 60: (EM) log likelihood = -28459.241
Iteration 61: (EM) log likelihood = -28452.648
Iteration 62: (EM) log likelihood = -28446.458
Iteration 63: (EM) log likelihood = -28440.345
Iteration 64: (EM) log likelihood = -28434.377
Iteration 65: (EM) log likelihood = -28428.616
Iteration 66: (EM) log likelihood = -28423.005
Iteration 67: (EM) log likelihood = -28417.394
Iteration 68: (EM) log likelihood = -28411.977
Iteration 69: (EM) log likelihood = -28406.827
Iteration 70: (EM) log likelihood = -28401.602
Iteration 71: (EM) log likelihood = -28396.624
Iteration 72: (EM) log likelihood = -28391.758
Iteration 73: (EM) log likelihood = -28386.998
Iteration 74: (EM) log likelihood = -28382.093
Iteration 75: (EM) log likelihood = -28377.128
Iteration 76: (EM) log likelihood = -28372.596
Iteration 77: (EM) log likelihood = -28367.951
Iteration 78: (EM) log likelihood = -28363.395
Iteration 79: (EM) log likelihood = -28358.668
Iteration 80: (EM) log likelihood = -28354.085
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.8187
Iteration 1: (class) log likelihood = -4161.8187
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29153.753
Iteration 1: (outcome) log likelihood = -29153.753
Refining starting values:
Iteration 0: (EM) log likelihood = -33316.327
Iteration 1: (EM) log likelihood = -33312.322
Iteration 2: (EM) log likelihood = -33301.157
Iteration 3: (EM) log likelihood = -33274.021
Iteration 4: (EM) log likelihood = -33203.29
Iteration 5: (EM) log likelihood = -33013.428
Iteration 6: (EM) log likelihood = -32585.635
Iteration 7: (EM) log likelihood = -31931.36
Iteration 8: (EM) log likelihood = -31237.941
Iteration 9: (EM) log likelihood = -30628.305
Iteration 10: (EM) log likelihood = -30123.885
Iteration 11: (EM) log likelihood = -29705.568
Iteration 12: (EM) log likelihood = -29354.502
Iteration 13: (EM) log likelihood = -29067.233
Iteration 14: (EM) log likelihood = -28823.143
Iteration 15: (EM) log likelihood = -28602.077
Iteration 16: (EM) log likelihood = -28432.647
Iteration 17: (EM) log likelihood = -28321.596
Iteration 18: (EM) log likelihood = -28247.247
Iteration 19: (EM) log likelihood = -28193.369
Iteration 20: (EM) log likelihood = -28151.07
Iteration 21: (EM) log likelihood = -28111.779
Iteration 22: (EM) log likelihood = -28073.342
Iteration 23: (EM) log likelihood = -28033.55
Iteration 24: (EM) log likelihood = -27996.88
Iteration 25: (EM) log likelihood = -27962.297
Iteration 26: (EM) log likelihood = -27930.495
Iteration 27: (EM) log likelihood = -27904.563
Iteration 28: (EM) log likelihood = -27882.591
Iteration 29: (EM) log likelihood = -27863.243
Iteration 30: (EM) log likelihood = -27846.304
Iteration 31: (EM) log likelihood = -27831.321
Iteration 32: (EM) log likelihood = -27817.194
Iteration 33: (EM) log likelihood = -27806.271
Iteration 34: (EM) log likelihood = -27798.13
Iteration 35: (EM) log likelihood = -27790.258
Iteration 36: (EM) log likelihood = -27784.548
Iteration 37: (EM) log likelihood = -27779.125
Iteration 38: (EM) log likelihood = -27774.761
Iteration 39: (EM) log likelihood = -27771.081
Iteration 40: (EM) log likelihood = -27768.364
Iteration 41: (EM) log likelihood = -27765.761
Iteration 42: (EM) log likelihood = -27764.054
Iteration 43: (EM) log likelihood = -27762.307
Iteration 44: (EM) log likelihood = -27760.681
Iteration 45: (EM) log likelihood = -27759.338
Iteration 46: (EM) log likelihood = -27758.338
Iteration 47: (EM) log likelihood = -27757.23
Iteration 48: (EM) log likelihood = -27756.55
Iteration 49: (EM) log likelihood = -27756.011
Iteration 50: (EM) log likelihood = -27755.476
Iteration 51: (EM) log likelihood = -27754.91
Iteration 52: (EM) log likelihood = -27754.495
Iteration 53: (EM) log likelihood = -27754.139
Iteration 54: (EM) log likelihood = -27753.842
Iteration 55: (EM) log likelihood = -27753.658
Iteration 56: (EM) log likelihood = -27753.419
Iteration 57: (EM) log likelihood = -27753.09
Iteration 58: (EM) log likelihood = -27752.945
Iteration 59: (EM) log likelihood = -27752.789
Iteration 60: (EM) log likelihood = -27752.664
Iteration 61: (EM) log likelihood = -27752.545
Iteration 62: (EM) log likelihood = -27752.448
Iteration 63: (EM) log likelihood = -27752.364
Iteration 64: (EM) log likelihood = -27752.314
Iteration 65: (EM) log likelihood = -27752.243
Iteration 66: (EM) log likelihood = -27752.193
Iteration 67: (EM) log likelihood = -27752.139
Iteration 68: (EM) log likelihood = -27752.125
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.4231
Iteration 1: (class) log likelihood = -4162.4231
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29158.127
Iteration 1: (outcome) log likelihood = -29158.127
Refining starting values:
Iteration 0: (EM) log likelihood = -33321.871
Iteration 1: (EM) log likelihood = -33319.663
Iteration 2: (EM) log likelihood = -33312.502
Iteration 3: (EM) log likelihood = -33293.01
Iteration 4: (EM) log likelihood = -33235.639
Iteration 5: (EM) log likelihood = -33068.726
Iteration 6: (EM) log likelihood = -32681.994
Iteration 7: (EM) log likelihood = -32055.999
Iteration 8: (EM) log likelihood = -31258.456
Iteration 9: (EM) log likelihood = -30426.769
Iteration 10: (EM) log likelihood = -29770.972
Iteration 11: (EM) log likelihood = -29345.417
Iteration 12: (EM) log likelihood = -29096.33
Iteration 13: (EM) log likelihood = -28966.161
Iteration 14: (EM) log likelihood = -28898.645
Iteration 15: (EM) log likelihood = -28862.393
Iteration 16: (EM) log likelihood = -28843.299
Iteration 17: (EM) log likelihood = -28832.406
Iteration 18: (EM) log likelihood = -28826.189
Iteration 19: (EM) log likelihood = -28822.393
Iteration 20: (EM) log likelihood = -28820.384
Iteration 21: (EM) log likelihood = -28820.109
Iteration 22: (EM) log likelihood = -28821.043
Iteration 23: (EM) log likelihood = -28823.545
Iteration 24: (EM) log likelihood = -28826.115
Iteration 25: (EM) log likelihood = -28829.411
Iteration 26: (EM) log likelihood = -28832.526
Iteration 27: (EM) log likelihood = -28835.705
Iteration 28: (EM) log likelihood = -28838.522
Iteration 29: (EM) log likelihood = -28841.052
Iteration 30: (EM) log likelihood = -28842.972
Iteration 31: (EM) log likelihood = -28844.361
Iteration 32: (EM) log likelihood = -28845.007
Iteration 33: (EM) log likelihood = -28845.453
Iteration 34: (EM) log likelihood = -28844.526
Iteration 35: (EM) log likelihood = -28843.112
Iteration 36: (EM) log likelihood = -28840.879
Iteration 37: (EM) log likelihood = -28838.271
Iteration 38: (EM) log likelihood = -28834.926
Iteration 39: (EM) log likelihood = -28831.249
Iteration 40: (EM) log likelihood = -28826.638
Iteration 41: (EM) log likelihood = -28822.034
Iteration 42: (EM) log likelihood = -28816.427
Iteration 43: (EM) log likelihood = -28810.619
Iteration 44: (EM) log likelihood = -28804.652
Iteration 45: (EM) log likelihood = -28797.619
Iteration 46: (EM) log likelihood = -28790.955
Iteration 47: (EM) log likelihood = -28783.551
Iteration 48: (EM) log likelihood = -28775.964
Iteration 49: (EM) log likelihood = -28767.915
Iteration 50: (EM) log likelihood = -28759.924
Iteration 51: (EM) log likelihood = -28751.638
Iteration 52: (EM) log likelihood = -28742.697
Iteration 53: (EM) log likelihood = -28734.359
Iteration 54: (EM) log likelihood = -28725.566
Iteration 55: (EM) log likelihood = -28717.428
Iteration 56: (EM) log likelihood = -28708.208
Iteration 57: (EM) log likelihood = -28698.889
Iteration 58: (EM) log likelihood = -28689.698
Iteration 59: (EM) log likelihood = -28680.349
Iteration 60: (EM) log likelihood = -28670.839
Iteration 61: (EM) log likelihood = -28661.409
Iteration 62: (EM) log likelihood = -28651.794
Iteration 63: (EM) log likelihood = -28642.238
Iteration 64: (EM) log likelihood = -28632.652
Iteration 65: (EM) log likelihood = -28623.089
Iteration 66: (EM) log likelihood = -28613.628
Iteration 67: (EM) log likelihood = -28604.263
Iteration 68: (EM) log likelihood = -28594.929
Iteration 69: (EM) log likelihood = -28585.83
Iteration 70: (EM) log likelihood = -28576.886
Iteration 71: (EM) log likelihood = -28567.688
Iteration 72: (EM) log likelihood = -28559.048
Iteration 73: (EM) log likelihood = -28550.514
Iteration 74: (EM) log likelihood = -28542.125
Iteration 75: (EM) log likelihood = -28533.902
Iteration 76: (EM) log likelihood = -28525.816
Iteration 77: (EM) log likelihood = -28517.873
Iteration 78: (EM) log likelihood = -28510.144
Iteration 79: (EM) log likelihood = -28502.549
Iteration 80: (EM) log likelihood = -28495.221
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4160.3319
Iteration 1: (class) log likelihood = -4160.3319
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29147.978
Iteration 1: (outcome) log likelihood = -29147.978
Refining starting values:
Iteration 0: (EM) log likelihood = -33297.196
Iteration 1: (EM) log likelihood = -33245.96
Iteration 2: (EM) log likelihood = -33057.186
Iteration 3: (EM) log likelihood = -32503.185
Iteration 4: (EM) log likelihood = -31523.379
Iteration 5: (EM) log likelihood = -30538.081
Iteration 6: (EM) log likelihood = -29831.16
Iteration 7: (EM) log likelihood = -29381.608
Iteration 8: (EM) log likelihood = -29126.046
Iteration 9: (EM) log likelihood = -29006.056
Iteration 10: (EM) log likelihood = -28954.033
Iteration 11: (EM) log likelihood = -28930.077
Iteration 12: (EM) log likelihood = -28917.118
Iteration 13: (EM) log likelihood = -28908.785
Iteration 14: (EM) log likelihood = -28902.323
Iteration 15: (EM) log likelihood = -28896.622
Iteration 16: (EM) log likelihood = -28890.991
Iteration 17: (EM) log likelihood = -28884.946
Iteration 18: (EM) log likelihood = -28878.468
Iteration 19: (EM) log likelihood = -28871.557
Iteration 20: (EM) log likelihood = -28863.566
Iteration 21: (EM) log likelihood = -28855.267
Iteration 22: (EM) log likelihood = -28846.835
Iteration 23: (EM) log likelihood = -28837.903
Iteration 24: (EM) log likelihood = -28828.513
Iteration 25: (EM) log likelihood = -28818.726
Iteration 26: (EM) log likelihood = -28809.29
Iteration 27: (EM) log likelihood = -28799.337
Iteration 28: (EM) log likelihood = -28789.347
Iteration 29: (EM) log likelihood = -28779.493
Iteration 30: (EM) log likelihood = -28769.544
Iteration 31: (EM) log likelihood = -28759.455
Iteration 32: (EM) log likelihood = -28749.144
Iteration 33: (EM) log likelihood = -28739.119
Iteration 34: (EM) log likelihood = -28728.801
Iteration 35: (EM) log likelihood = -28718.502
Iteration 36: (EM) log likelihood = -28708.382
Iteration 37: (EM) log likelihood = -28698.273
Iteration 38: (EM) log likelihood = -28687.862
Iteration 39: (EM) log likelihood = -28677.894
Iteration 40: (EM) log likelihood = -28667.814
Iteration 41: (EM) log likelihood = -28657.906
Iteration 42: (EM) log likelihood = -28648.067
Iteration 43: (EM) log likelihood = -28638.114
Iteration 44: (EM) log likelihood = -28628.772
Iteration 45: (EM) log likelihood = -28619.266
Iteration 46: (EM) log likelihood = -28609.668
Iteration 47: (EM) log likelihood = -28600.435
Iteration 48: (EM) log likelihood = -28590.968
Iteration 49: (EM) log likelihood = -28581.773
Iteration 50: (EM) log likelihood = -28572.584
Iteration 51: (EM) log likelihood = -28563.649
Iteration 52: (EM) log likelihood = -28554.993
Iteration 53: (EM) log likelihood = -28546.322
Iteration 54: (EM) log likelihood = -28537.797
Iteration 55: (EM) log likelihood = -28529.44
Iteration 56: (EM) log likelihood = -28521.222
Iteration 57: (EM) log likelihood = -28513.174
Iteration 58: (EM) log likelihood = -28504.852
Iteration 59: (EM) log likelihood = -28497.352
Iteration 60: (EM) log likelihood = -28489.497
Iteration 61: (EM) log likelihood = -28482.182
Iteration 62: (EM) log likelihood = -28474.99
Iteration 63: (EM) log likelihood = -28467.963
Iteration 64: (EM) log likelihood = -28460.996
Iteration 65: (EM) log likelihood = -28454.435
Iteration 66: (EM) log likelihood = -28447.685
Iteration 67: (EM) log likelihood = -28441.357
Iteration 68: (EM) log likelihood = -28434.685
Iteration 69: (EM) log likelihood = -28428.758
Iteration 70: (EM) log likelihood = -28422.917
Iteration 71: (EM) log likelihood = -28417.115
Iteration 72: (EM) log likelihood = -28411.753
Iteration 73: (EM) log likelihood = -28406.23
Iteration 74: (EM) log likelihood = -28401.061
Iteration 75: (EM) log likelihood = -28395.872
Iteration 76: (EM) log likelihood = -28390.529
Iteration 77: (EM) log likelihood = -28385.723
Iteration 78: (EM) log likelihood = -28380.962
Iteration 79: (EM) log likelihood = -28376.248
Iteration 80: (EM) log likelihood = -28371.578
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.5032
Iteration 1: (class) log likelihood = -4162.5032
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29150.9
Iteration 1: (outcome) log likelihood = -29150.9
Refining starting values:
Iteration 0: (EM) log likelihood = -33312.75
Iteration 1: (EM) log likelihood = -33297.064
Iteration 2: (EM) log likelihood = -33226.262
Iteration 3: (EM) log likelihood = -32950.714
Iteration 4: (EM) log likelihood = -32208.305
Iteration 5: (EM) log likelihood = -31221.368
Iteration 6: (EM) log likelihood = -30534.657
Iteration 7: (EM) log likelihood = -30120.141
Iteration 8: (EM) log likelihood = -29818.195
Iteration 9: (EM) log likelihood = -29584.649
Iteration 10: (EM) log likelihood = -29397.437
Iteration 11: (EM) log likelihood = -29241.894
Iteration 12: (EM) log likelihood = -29118.286
Iteration 13: (EM) log likelihood = -29027.861
Iteration 14: (EM) log likelihood = -28965.645
Iteration 15: (EM) log likelihood = -28924.732
Iteration 16: (EM) log likelihood = -28896.335
Iteration 17: (EM) log likelihood = -28879.095
Iteration 18: (EM) log likelihood = -28866.472
Iteration 19: (EM) log likelihood = -28857.706
Iteration 20: (EM) log likelihood = -28851.678
Iteration 21: (EM) log likelihood = -28847.044
Iteration 22: (EM) log likelihood = -28843.443
Iteration 23: (EM) log likelihood = -28840.413
Iteration 24: (EM) log likelihood = -28838.03
Iteration 25: (EM) log likelihood = -28836.061
Iteration 26: (EM) log likelihood = -28834.286
Iteration 27: (EM) log likelihood = -28832.547
Iteration 28: (EM) log likelihood = -28830.946
Iteration 29: (EM) log likelihood = -28829.048
Iteration 30: (EM) log likelihood = -28826.68
Iteration 31: (EM) log likelihood = -28824.05
Iteration 32: (EM) log likelihood = -28820.794
Iteration 33: (EM) log likelihood = -28816.743
Iteration 34: (EM) log likelihood = -28812.234
Iteration 35: (EM) log likelihood = -28806.662
Iteration 36: (EM) log likelihood = -28800.206
Iteration 37: (EM) log likelihood = -28792.6
Iteration 38: (EM) log likelihood = -28783.904
Iteration 39: (EM) log likelihood = -28774.324
Iteration 40: (EM) log likelihood = -28763.625
Iteration 41: (EM) log likelihood = -28752.328
Iteration 42: (EM) log likelihood = -28740.483
Iteration 43: (EM) log likelihood = -28728.293
Iteration 44: (EM) log likelihood = -28716.1
Iteration 45: (EM) log likelihood = -28703.846
Iteration 46: (EM) log likelihood = -28691.618
Iteration 47: (EM) log likelihood = -28679.526
Iteration 48: (EM) log likelihood = -28667.67
Iteration 49: (EM) log likelihood = -28656.028
Iteration 50: (EM) log likelihood = -28645.674
Iteration 51: (EM) log likelihood = -28634.855
Iteration 52: (EM) log likelihood = -28624.102
Iteration 53: (EM) log likelihood = -28613.528
Iteration 54: (EM) log likelihood = -28603.352
Iteration 55: (EM) log likelihood = -28593.068
Iteration 56: (EM) log likelihood = -28583.599
Iteration 57: (EM) log likelihood = -28573.74
Iteration 58: (EM) log likelihood = -28564.118
Iteration 59: (EM) log likelihood = -28554.778
Iteration 60: (EM) log likelihood = -28545.824
Iteration 61: (EM) log likelihood = -28537.047
Iteration 62: (EM) log likelihood = -28528.489
Iteration 63: (EM) log likelihood = -28520.171
Iteration 64: (EM) log likelihood = -28511.704
Iteration 65: (EM) log likelihood = -28503.914
Iteration 66: (EM) log likelihood = -28495.88
Iteration 67: (EM) log likelihood = -28488.379
Iteration 68: (EM) log likelihood = -28481.222
Iteration 69: (EM) log likelihood = -28474.4
Iteration 70: (EM) log likelihood = -28467.681
Iteration 71: (EM) log likelihood = -28460.903
Iteration 72: (EM) log likelihood = -28454.233
Iteration 73: (EM) log likelihood = -28447.718
Iteration 74: (EM) log likelihood = -28441.521
Iteration 75: (EM) log likelihood = -28434.922
Iteration 76: (EM) log likelihood = -28430.261
Iteration 77: (EM) log likelihood = -28424.567
Iteration 78: (EM) log likelihood = -28419.107
Iteration 79: (EM) log likelihood = -28413.656
Iteration 80: (EM) log likelihood = -28408.582
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.2387
Iteration 1: (class) log likelihood = -4162.2387
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29540.855
Iteration 1: (outcome) log likelihood = -29261.803
Iteration 2: (outcome) log likelihood = -29171.976
Iteration 3: (outcome) log likelihood = -29157.775
Iteration 4: (outcome) log likelihood = -29154.573
Iteration 5: (outcome) log likelihood = -29153.882
Iteration 6: (outcome) log likelihood = -29153.772
Iteration 7: (outcome) log likelihood = -29153.76
Iteration 8: (outcome) log likelihood = -29153.757
Iteration 9: (outcome) log likelihood = -29153.757
Iteration 10: (outcome) log likelihood = -29153.757
Iteration 11: (outcome) log likelihood = -29153.757
Refining starting values:
Iteration 0: (EM) log likelihood = -33305.568
Iteration 1: (EM) log likelihood = -33263.61
Iteration 2: (EM) log likelihood = -33112.166
Iteration 3: (EM) log likelihood = -32651.325
Iteration 4: (EM) log likelihood = -31784.023
Iteration 5: (EM) log likelihood = -30898.751
Iteration 6: (EM) log likelihood = -30241.232
Iteration 7: (EM) log likelihood = -29734.465
Iteration 8: (EM) log likelihood = -29351.228
Iteration 9: (EM) log likelihood = -29116.433
Iteration 10: (EM) log likelihood = -28994.658
Iteration 11: (EM) log likelihood = -28932.31
Iteration 12: (EM) log likelihood = -28897.3
Iteration 13: (EM) log likelihood = -28874.731
Iteration 14: (EM) log likelihood = -28858.163
Iteration 15: (EM) log likelihood = -28845.113
Iteration 16: (EM) log likelihood = -28832.281
Iteration 17: (EM) log likelihood = -28820.043
Iteration 18: (EM) log likelihood = -28808.603
Iteration 19: (EM) log likelihood = -28797.388
Iteration 20: (EM) log likelihood = -28786.018
Iteration 21: (EM) log likelihood = -28774.735
Iteration 22: (EM) log likelihood = -28763.507
Iteration 23: (EM) log likelihood = -28752.605
Iteration 24: (EM) log likelihood = -28741.303
Iteration 25: (EM) log likelihood = -28730.955
Iteration 26: (EM) log likelihood = -28719.654
Iteration 27: (EM) log likelihood = -28708.673
Iteration 28: (EM) log likelihood = -28697.582
Iteration 29: (EM) log likelihood = -28686.631
Iteration 30: (EM) log likelihood = -28675.771
Iteration 31: (EM) log likelihood = -28664.86
Iteration 32: (EM) log likelihood = -28654.21
Iteration 33: (EM) log likelihood = -28643.306
Iteration 34: (EM) log likelihood = -28633.026
Iteration 35: (EM) log likelihood = -28622.835
Iteration 36: (EM) log likelihood = -28612.549
Iteration 37: (EM) log likelihood = -28602.399
Iteration 38: (EM) log likelihood = -28592.606
Iteration 39: (EM) log likelihood = -28582.96
Iteration 40: (EM) log likelihood = -28573.317
Iteration 41: (EM) log likelihood = -28564.056
Iteration 42: (EM) log likelihood = -28554.966
Iteration 43: (EM) log likelihood = -28546.882
Iteration 44: (EM) log likelihood = -28538.177
Iteration 45: (EM) log likelihood = -28529.547
Iteration 46: (EM) log likelihood = -28521.44
Iteration 47: (EM) log likelihood = -28513.169
Iteration 48: (EM) log likelihood = -28505.467
Iteration 49: (EM) log likelihood = -28497.7
Iteration 50: (EM) log likelihood = -28490.045
Iteration 51: (EM) log likelihood = -28482.611
Iteration 52: (EM) log likelihood = -28475.421
Iteration 53: (EM) log likelihood = -28468.399
Iteration 54: (EM) log likelihood = -28461.582
Iteration 55: (EM) log likelihood = -28457.114
Iteration 56: (EM) log likelihood = -28450.062
Iteration 57: (EM) log likelihood = -28443.856
Iteration 58: (EM) log likelihood = -28437.537
Iteration 59: (EM) log likelihood = -28431.344
Iteration 60: (EM) log likelihood = -28425.212
Iteration 61: (EM) log likelihood = -28418.884
Iteration 62: (EM) log likelihood = -28413.849
Iteration 63: (EM) log likelihood = -28407.865
Iteration 64: (EM) log likelihood = -28401.068
Iteration 65: (EM) log likelihood = -28395.856
Iteration 66: (EM) log likelihood = -28390.949
Iteration 67: (EM) log likelihood = -28384.905
Iteration 68: (EM) log likelihood = -28379.182
Iteration 69: (EM) log likelihood = -28374.197
Iteration 70: (EM) log likelihood = -28368.647
Iteration 71: (EM) log likelihood = -28364.967
Iteration 72: (EM) log likelihood = -28359.471
Iteration 73: (EM) log likelihood = -28349.656
Iteration 74: (EM) log likelihood = -28344.559
Iteration 75: (EM) log likelihood = -28339.356
Iteration 76: (EM) log likelihood = -28334.178
Iteration 77: (EM) log likelihood = -28329.642
Iteration 78: (EM) log likelihood = -28325.066
Iteration 79: (EM) log likelihood = -28320.251
Iteration 80: (EM) log likelihood = -28315.927
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.5177
Iteration 1: (class) log likelihood = -4162.5177
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29157.152
Iteration 1: (outcome) log likelihood = -29157.152
Refining starting values:
Iteration 0: (EM) log likelihood = -33311.769
Iteration 1: (EM) log likelihood = -33289.113
Iteration 2: (EM) log likelihood = -33223.968
Iteration 3: (EM) log likelihood = -33037.864
Iteration 4: (EM) log likelihood = -32605.549
Iteration 5: (EM) log likelihood = -31915.884
Iteration 6: (EM) log likelihood = -31086.942
Iteration 7: (EM) log likelihood = -30239.9
Iteration 8: (EM) log likelihood = -29569.093
Iteration 9: (EM) log likelihood = -29174.798
Iteration 10: (EM) log likelihood = -28988.889
Iteration 11: (EM) log likelihood = -28918.898
Iteration 12: (EM) log likelihood = -28894.325
Iteration 13: (EM) log likelihood = -28885.595
Iteration 14: (EM) log likelihood = -28883.369
Iteration 15: (EM) log likelihood = -28883.44
Iteration 16: (EM) log likelihood = -28884.41
Iteration 17: (EM) log likelihood = -28885.575
Iteration 18: (EM) log likelihood = -28886.502
Iteration 19: (EM) log likelihood = -28886.914
Iteration 20: (EM) log likelihood = -28886.917
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4160.8205
Iteration 1: (class) log likelihood = -4160.8205
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29146.095
Iteration 1: (outcome) log likelihood = -29146.095
Refining starting values:
Iteration 0: (EM) log likelihood = -33281.592
Iteration 1: (EM) log likelihood = -33168.961
Iteration 2: (EM) log likelihood = -32756.87
Iteration 3: (EM) log likelihood = -31862.341
Iteration 4: (EM) log likelihood = -30970.166
Iteration 5: (EM) log likelihood = -30414.663
Iteration 6: (EM) log likelihood = -30058.516
Iteration 7: (EM) log likelihood = -29803.192
Iteration 8: (EM) log likelihood = -29629.862
Iteration 9: (EM) log likelihood = -29514.905
Iteration 10: (EM) log likelihood = -29435.978
Iteration 11: (EM) log likelihood = -29380.911
Iteration 12: (EM) log likelihood = -29342.679
Iteration 13: (EM) log likelihood = -29316.236
Iteration 14: (EM) log likelihood = -29297.277
Iteration 15: (EM) log likelihood = -29283.502
Iteration 16: (EM) log likelihood = -29272.477
Iteration 17: (EM) log likelihood = -29261.24
Iteration 18: (EM) log likelihood = -29249.895
Iteration 19: (EM) log likelihood = -29236.736
Iteration 20: (EM) log likelihood = -29221.132
Iteration 21: (EM) log likelihood = -29205.996
Iteration 22: (EM) log likelihood = -29188.621
Iteration 23: (EM) log likelihood = -29171.341
Iteration 24: (EM) log likelihood = -29153.259
Iteration 25: (EM) log likelihood = -29135.273
Iteration 26: (EM) log likelihood = -29118.398
Iteration 27: (EM) log likelihood = -29101.387
Iteration 28: (EM) log likelihood = -29084.728
Iteration 29: (EM) log likelihood = -29066.629
Iteration 30: (EM) log likelihood = -29047.704
Iteration 31: (EM) log likelihood = -29029.973
Iteration 32: (EM) log likelihood = -29013.502
Iteration 33: (EM) log likelihood = -28998.51
Iteration 34: (EM) log likelihood = -28986.237
Iteration 35: (EM) log likelihood = -28976.533
Iteration 36: (EM) log likelihood = -28969.075
Iteration 37: (EM) log likelihood = -28964.419
Iteration 38: (EM) log likelihood = -28960.614
Iteration 39: (EM) log likelihood = -28958.714
Iteration 40: (EM) log likelihood = -28957.488
Iteration 41: (EM) log likelihood = -28956.944
Iteration 42: (EM) log likelihood = -28956.254
Iteration 43: (EM) log likelihood = -28955.926
Iteration 44: (EM) log likelihood = -28955.821
Iteration 45: (EM) log likelihood = -28955.844
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.9293
Iteration 1: (class) log likelihood = -4161.9293
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29155.899
Iteration 1: (outcome) log likelihood = -29155.899
Refining starting values:
Iteration 0: (EM) log likelihood = -33310.892
Iteration 1: (EM) log likelihood = -33275.259
Iteration 2: (EM) log likelihood = -33145.6
Iteration 3: (EM) log likelihood = -32788.713
Iteration 4: (EM) log likelihood = -32145.233
Iteration 5: (EM) log likelihood = -31354.131
Iteration 6: (EM) log likelihood = -30609.092
Iteration 7: (EM) log likelihood = -30015.247
Iteration 8: (EM) log likelihood = -29576.304
Iteration 9: (EM) log likelihood = -29280.715
Iteration 10: (EM) log likelihood = -29108.131
Iteration 11: (EM) log likelihood = -29015.013
Iteration 12: (EM) log likelihood = -28963.876
Iteration 13: (EM) log likelihood = -28934.448
Iteration 14: (EM) log likelihood = -28916.801
Iteration 15: (EM) log likelihood = -28904.328
Iteration 16: (EM) log likelihood = -28894.365
Iteration 17: (EM) log likelihood = -28885.226
Iteration 18: (EM) log likelihood = -28876.33
Iteration 19: (EM) log likelihood = -28869.115
Iteration 20: (EM) log likelihood = -28864.151
Iteration 21: (EM) log likelihood = -28859.178
Iteration 22: (EM) log likelihood = -28853.587
Iteration 23: (EM) log likelihood = -28847.527
Iteration 24: (EM) log likelihood = -28840.938
Iteration 25: (EM) log likelihood = -28834.164
Iteration 26: (EM) log likelihood = -28826.81
Iteration 27: (EM) log likelihood = -28819.336
Iteration 28: (EM) log likelihood = -28810.799
Iteration 29: (EM) log likelihood = -28802.102
Iteration 30: (EM) log likelihood = -28792.902
Iteration 31: (EM) log likelihood = -28783.562
Iteration 32: (EM) log likelihood = -28773.708
Iteration 33: (EM) log likelihood = -28763.722
Iteration 34: (EM) log likelihood = -28753.662
Iteration 35: (EM) log likelihood = -28743.397
Iteration 36: (EM) log likelihood = -28732.224
Iteration 37: (EM) log likelihood = -28721.922
Iteration 38: (EM) log likelihood = -28711.393
Iteration 39: (EM) log likelihood = -28700.621
Iteration 40: (EM) log likelihood = -28689.79
Iteration 41: (EM) log likelihood = -28679.226
Iteration 42: (EM) log likelihood = -28668.66
Iteration 43: (EM) log likelihood = -28658.011
Iteration 44: (EM) log likelihood = -28647.572
Iteration 45: (EM) log likelihood = -28637.071
Iteration 46: (EM) log likelihood = -28626.926
Iteration 47: (EM) log likelihood = -28616.528
Iteration 48: (EM) log likelihood = -28606.232
Iteration 49: (EM) log likelihood = -28596.11
Iteration 50: (EM) log likelihood = -28586.716
Iteration 51: (EM) log likelihood = -28576.77
Iteration 52: (EM) log likelihood = -28567.16
Iteration 53: (EM) log likelihood = -28557.577
Iteration 54: (EM) log likelihood = -28547.818
Iteration 55: (EM) log likelihood = -28538.53
Iteration 56: (EM) log likelihood = -28529.462
Iteration 57: (EM) log likelihood = -28520.571
Iteration 58: (EM) log likelihood = -28511.498
Iteration 59: (EM) log likelihood = -28503.038
Iteration 60: (EM) log likelihood = -28494.714
Iteration 61: (EM) log likelihood = -28486.523
Iteration 62: (EM) log likelihood = -28478.395
Iteration 63: (EM) log likelihood = -28470.575
Iteration 64: (EM) log likelihood = -28462.968
Iteration 65: (EM) log likelihood = -28455.523
Iteration 66: (EM) log likelihood = -28448.309
Iteration 67: (EM) log likelihood = -28440.912
Iteration 68: (EM) log likelihood = -28433.641
Iteration 69: (EM) log likelihood = -28428.379
Iteration 70: (EM) log likelihood = -28421.292
Iteration 71: (EM) log likelihood = -28414.391
Iteration 72: (EM) log likelihood = -28408.629
Iteration 73: (EM) log likelihood = -28401.923
Iteration 74: (EM) log likelihood = -28395.988
Iteration 75: (EM) log likelihood = -28389.994
Iteration 76: (EM) log likelihood = -28384.338
Iteration 77: (EM) log likelihood = -28378.725
Iteration 78: (EM) log likelihood = -28373.126
Iteration 79: (EM) log likelihood = -28367.928
Iteration 80: (EM) log likelihood = -28362.836
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.4124
Iteration 1: (class) log likelihood = -4161.4124
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29149.405
Iteration 1: (outcome) log likelihood = -29149.405
Refining starting values:
Iteration 0: (EM) log likelihood = -33298.634
Iteration 1: (EM) log likelihood = -33254.741
Iteration 2: (EM) log likelihood = -33117.456
Iteration 3: (EM) log likelihood = -32771.738
Iteration 4: (EM) log likelihood = -32194.301
Iteration 5: (EM) log likelihood = -31549.093
Iteration 6: (EM) log likelihood = -30907.056
Iteration 7: (EM) log likelihood = -30243.533
Iteration 8: (EM) log likelihood = -29635.274
Iteration 9: (EM) log likelihood = -29207.897
Iteration 10: (EM) log likelihood = -28967.917
Iteration 11: (EM) log likelihood = -28861.971
Iteration 12: (EM) log likelihood = -28822.118
Iteration 13: (EM) log likelihood = -28807.425
Iteration 14: (EM) log likelihood = -28802.958
Iteration 15: (EM) log likelihood = -28802.689
Iteration 16: (EM) log likelihood = -28804.094
Iteration 17: (EM) log likelihood = -28806.102
Iteration 18: (EM) log likelihood = -28808.309
Iteration 19: (EM) log likelihood = -28810.538
Iteration 20: (EM) log likelihood = -28812.505
Iteration 21: (EM) log likelihood = -28813.752
Iteration 22: (EM) log likelihood = -28814.901
Iteration 23: (EM) log likelihood = -28815.235
Iteration 24: (EM) log likelihood = -28814.201
Iteration 25: (EM) log likelihood = -28812.631
Iteration 26: (EM) log likelihood = -28810.163
Iteration 27: (EM) log likelihood = -28806.836
Iteration 28: (EM) log likelihood = -28802.004
Iteration 29: (EM) log likelihood = -28795.322
Iteration 30: (EM) log likelihood = -28787.257
Iteration 31: (EM) log likelihood = -28777.425
Iteration 32: (EM) log likelihood = -28765.499
Iteration 33: (EM) log likelihood = -28751.517
Iteration 34: (EM) log likelihood = -28734.97
Iteration 35: (EM) log likelihood = -28716.024
Iteration 36: (EM) log likelihood = -28694.937
Iteration 37: (EM) log likelihood = -28672.213
Iteration 38: (EM) log likelihood = -28647.851
Iteration 39: (EM) log likelihood = -28622.358
Iteration 40: (EM) log likelihood = -28596.632
Iteration 41: (EM) log likelihood = -28570.633
Iteration 42: (EM) log likelihood = -28545.071
Iteration 43: (EM) log likelihood = -28519.695
Iteration 44: (EM) log likelihood = -28494.743
Iteration 45: (EM) log likelihood = -28471.376
Iteration 46: (EM) log likelihood = -28448.806
Iteration 47: (EM) log likelihood = -28427.144
Iteration 48: (EM) log likelihood = -28406.108
Iteration 49: (EM) log likelihood = -28386.32
Iteration 50: (EM) log likelihood = -28367.55
Iteration 51: (EM) log likelihood = -28349.965
Iteration 52: (EM) log likelihood = -28333.648
Iteration 53: (EM) log likelihood = -28317.271
Iteration 54: (EM) log likelihood = -28302.249
Iteration 55: (EM) log likelihood = -28288.293
Iteration 56: (EM) log likelihood = -28274.633
Iteration 57: (EM) log likelihood = -28262.366
Iteration 58: (EM) log likelihood = -28250.626
Iteration 59: (EM) log likelihood = -28239.678
Iteration 60: (EM) log likelihood = -28225.239
Iteration 61: (EM) log likelihood = -28215.561
Iteration 62: (EM) log likelihood = -28205.756
Iteration 63: (EM) log likelihood = -28196.295
Iteration 64: (EM) log likelihood = -28187.262
Iteration 65: (EM) log likelihood = -28177.927
Iteration 66: (EM) log likelihood = -28170.793
Iteration 67: (EM) log likelihood = -28161.932
Iteration 68: (EM) log likelihood = -28154.233
Iteration 69: (EM) log likelihood = -28145.7
Iteration 70: (EM) log likelihood = -28138.326
Iteration 71: (EM) log likelihood = -28131.11
Iteration 72: (EM) log likelihood = -28123.21
Iteration 73: (EM) log likelihood = -28116.608
Iteration 74: (EM) log likelihood = -28110.899
Iteration 75: (EM) log likelihood = -28105.233
Iteration 76: (EM) log likelihood = -28099.698
Iteration 77: (EM) log likelihood = -28094.171
Iteration 78: (EM) log likelihood = -28088.878
Iteration 79: (EM) log likelihood = -28083.792
Iteration 80: (EM) log likelihood = -28078.966
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.6008
Iteration 1: (class) log likelihood = -4162.6008
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29153.055
Iteration 1: (outcome) log likelihood = -29153.055
Refining starting values:
Iteration 0: (EM) log likelihood = -33302.145
Iteration 1: (EM) log likelihood = -33260.278
Iteration 2: (EM) log likelihood = -33127.114
Iteration 3: (EM) log likelihood = -32759.689
Iteration 4: (EM) log likelihood = -32079.466
Iteration 5: (EM) log likelihood = -31276.736
Iteration 6: (EM) log likelihood = -30488.29
Iteration 7: (EM) log likelihood = -29797.932
Iteration 8: (EM) log likelihood = -29325.384
Iteration 9: (EM) log likelihood = -29063.535
Iteration 10: (EM) log likelihood = -28944.088
Iteration 11: (EM) log likelihood = -28898.051
Iteration 12: (EM) log likelihood = -28881.98
Iteration 13: (EM) log likelihood = -28876.478
Iteration 14: (EM) log likelihood = -28874.273
Iteration 15: (EM) log likelihood = -28872.801
Iteration 16: (EM) log likelihood = -28871.252
Iteration 17: (EM) log likelihood = -28869.483
Iteration 18: (EM) log likelihood = -28867.181
Iteration 19: (EM) log likelihood = -28864.246
Iteration 20: (EM) log likelihood = -28860.571
Iteration 21: (EM) log likelihood = -28856.673
Iteration 22: (EM) log likelihood = -28851.897
Iteration 23: (EM) log likelihood = -28846.757
Iteration 24: (EM) log likelihood = -28841.18
Iteration 25: (EM) log likelihood = -28834.881
Iteration 26: (EM) log likelihood = -28828.271
Iteration 27: (EM) log likelihood = -28821.387
Iteration 28: (EM) log likelihood = -28813.973
Iteration 29: (EM) log likelihood = -28806.549
Iteration 30: (EM) log likelihood = -28798.85
Iteration 31: (EM) log likelihood = -28790.961
Iteration 32: (EM) log likelihood = -28782.783
Iteration 33: (EM) log likelihood = -28774.527
Iteration 34: (EM) log likelihood = -28765.931
Iteration 35: (EM) log likelihood = -28756.994
Iteration 36: (EM) log likelihood = -28747.873
Iteration 37: (EM) log likelihood = -28738.847
Iteration 38: (EM) log likelihood = -28729.652
Iteration 39: (EM) log likelihood = -28720.134
Iteration 40: (EM) log likelihood = -28710.901
Iteration 41: (EM) log likelihood = -28701.572
Iteration 42: (EM) log likelihood = -28692.243
Iteration 43: (EM) log likelihood = -28682.808
Iteration 44: (EM) log likelihood = -28673.277
Iteration 45: (EM) log likelihood = -28663.7
Iteration 46: (EM) log likelihood = -28654.325
Iteration 47: (EM) log likelihood = -28644.861
Iteration 48: (EM) log likelihood = -28635.098
Iteration 49: (EM) log likelihood = -28625.632
Iteration 50: (EM) log likelihood = -28616.237
Iteration 51: (EM) log likelihood = -28606.931
Iteration 52: (EM) log likelihood = -28597.786
Iteration 53: (EM) log likelihood = -28588.711
Iteration 54: (EM) log likelihood = -28579.731
Iteration 55: (EM) log likelihood = -28570.925
Iteration 56: (EM) log likelihood = -28562.346
Iteration 57: (EM) log likelihood = -28553.838
Iteration 58: (EM) log likelihood = -28546.518
Iteration 59: (EM) log likelihood = -28538.282
Iteration 60: (EM) log likelihood = -28530.218
Iteration 61: (EM) log likelihood = -28522.25
Iteration 62: (EM) log likelihood = -28514.424
Iteration 63: (EM) log likelihood = -28507.012
Iteration 64: (EM) log likelihood = -28499.034
Iteration 65: (EM) log likelihood = -28491.682
Iteration 66: (EM) log likelihood = -28484.534
Iteration 67: (EM) log likelihood = -28477.565
Iteration 68: (EM) log likelihood = -28470.778
Iteration 69: (EM) log likelihood = -28464.097
Iteration 70: (EM) log likelihood = -28457.649
Iteration 71: (EM) log likelihood = -28451.394
Iteration 72: (EM) log likelihood = -28445.247
Iteration 73: (EM) log likelihood = -28438.995
Iteration 74: (EM) log likelihood = -28433.237
Iteration 75: (EM) log likelihood = -28427.593
Iteration 76: (EM) log likelihood = -28422.054
Iteration 77: (EM) log likelihood = -28417.2
Iteration 78: (EM) log likelihood = -28411.557
Iteration 79: (EM) log likelihood = -28406.088
Iteration 80: (EM) log likelihood = -28401.015
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.2693
Iteration 1: (class) log likelihood = -4161.2693
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29134.552
Iteration 1: (outcome) log likelihood = -29134.552
Refining starting values:
Iteration 0: (EM) log likelihood = -33273.783
Iteration 1: (EM) log likelihood = -33194.957
Iteration 2: (EM) log likelihood = -32933.166
Iteration 3: (EM) log likelihood = -32272.349
Iteration 4: (EM) log likelihood = -31353.359
Iteration 5: (EM) log likelihood = -30600.21
Iteration 6: (EM) log likelihood = -30060.765
Iteration 7: (EM) log likelihood = -29655.848
Iteration 8: (EM) log likelihood = -29368.694
Iteration 9: (EM) log likelihood = -29199.874
Iteration 10: (EM) log likelihood = -29111.642
Iteration 11: (EM) log likelihood = -29062.529
Iteration 12: (EM) log likelihood = -29030.242
Iteration 13: (EM) log likelihood = -29005.439
Iteration 14: (EM) log likelihood = -28984.865
Iteration 15: (EM) log likelihood = -28967.901
Iteration 16: (EM) log likelihood = -28954.331
Iteration 17: (EM) log likelihood = -28944.203
Iteration 18: (EM) log likelihood = -28937.101
Iteration 19: (EM) log likelihood = -28932.084
Iteration 20: (EM) log likelihood = -28928.606
Iteration 21: (EM) log likelihood = -28925.663
Iteration 22: (EM) log likelihood = -28922.669
Iteration 23: (EM) log likelihood = -28919.899
Iteration 24: (EM) log likelihood = -28917.107
Iteration 25: (EM) log likelihood = -28913.065
Iteration 26: (EM) log likelihood = -28909.465
Iteration 27: (EM) log likelihood = -28904.962
Iteration 28: (EM) log likelihood = -28899.426
Iteration 29: (EM) log likelihood = -28893.253
Iteration 30: (EM) log likelihood = -28886.085
Iteration 31: (EM) log likelihood = -28878.035
Iteration 32: (EM) log likelihood = -28868.665
Iteration 33: (EM) log likelihood = -28858.115
Iteration 34: (EM) log likelihood = -28845.919
Iteration 35: (EM) log likelihood = -28832.346
Iteration 36: (EM) log likelihood = -28817.272
Iteration 37: (EM) log likelihood = -28800.946
Iteration 38: (EM) log likelihood = -28783.099
Iteration 39: (EM) log likelihood = -28763.767
Iteration 40: (EM) log likelihood = -28743.454
Iteration 41: (EM) log likelihood = -28722.293
Iteration 42: (EM) log likelihood = -28700.339
Iteration 43: (EM) log likelihood = -28677.592
Iteration 44: (EM) log likelihood = -28654.565
Iteration 45: (EM) log likelihood = -28631.351
Iteration 46: (EM) log likelihood = -28607.876
Iteration 47: (EM) log likelihood = -28584.127
Iteration 48: (EM) log likelihood = -28560.301
Iteration 49: (EM) log likelihood = -28536.704
Iteration 50: (EM) log likelihood = -28513.384
Iteration 51: (EM) log likelihood = -28490.538
Iteration 52: (EM) log likelihood = -28468.253
Iteration 53: (EM) log likelihood = -28446.55
Iteration 54: (EM) log likelihood = -28425.195
Iteration 55: (EM) log likelihood = -28405.288
Iteration 56: (EM) log likelihood = -28385.917
Iteration 57: (EM) log likelihood = -28367.47
Iteration 58: (EM) log likelihood = -28350.051
Iteration 59: (EM) log likelihood = -28333.593
Iteration 60: (EM) log likelihood = -28318.202
Iteration 61: (EM) log likelihood = -28303.821
Iteration 62: (EM) log likelihood = -28290.522
Iteration 63: (EM) log likelihood = -28278.213
Iteration 64: (EM) log likelihood = -28266.853
Iteration 65: (EM) log likelihood = -28256.467
Iteration 66: (EM) log likelihood = -28247.986
Iteration 67: (EM) log likelihood = -28239.177
Iteration 68: (EM) log likelihood = -28231.186
Iteration 69: (EM) log likelihood = -28223.376
Iteration 70: (EM) log likelihood = -28216.814
Iteration 71: (EM) log likelihood = -28210.904
Iteration 72: (EM) log likelihood = -28205.667
Iteration 73: (EM) log likelihood = -28200.727
Iteration 74: (EM) log likelihood = -28196.824
Iteration 75: (EM) log likelihood = -28193.018
Iteration 76: (EM) log likelihood = -28189.521
Iteration 77: (EM) log likelihood = -28186.292
Iteration 78: (EM) log likelihood = -28183.522
Iteration 79: (EM) log likelihood = -28181.052
Iteration 80: (EM) log likelihood = -28178.856
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.6111
Iteration 1: (class) log likelihood = -4162.6111
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29151.228
Iteration 1: (outcome) log likelihood = -29151.228 (backed up)
Refining starting values:
Iteration 0: (EM) log likelihood = -33309.481
Iteration 1: (EM) log likelihood = -33286.969
Iteration 2: (EM) log likelihood = -33203.317
Iteration 3: (EM) log likelihood = -32939.551
Iteration 4: (EM) log likelihood = -32352.245
Iteration 5: (EM) log likelihood = -31492.897
Iteration 6: (EM) log likelihood = -30581.846
Iteration 7: (EM) log likelihood = -29861.616
Iteration 8: (EM) log likelihood = -29401.502
Iteration 9: (EM) log likelihood = -29143.547
Iteration 10: (EM) log likelihood = -29024.478
Iteration 11: (EM) log likelihood = -28973.418
Iteration 12: (EM) log likelihood = -28950.206
Iteration 13: (EM) log likelihood = -28939.176
Iteration 14: (EM) log likelihood = -28932.751
Iteration 15: (EM) log likelihood = -28929.899
Iteration 16: (EM) log likelihood = -28928.341
Iteration 17: (EM) log likelihood = -28926.861
Iteration 18: (EM) log likelihood = -28924.635
Iteration 19: (EM) log likelihood = -28921.003
Iteration 20: (EM) log likelihood = -28916.469
Iteration 21: (EM) log likelihood = -28912.331
Iteration 22: (EM) log likelihood = -28908.835
Iteration 23: (EM) log likelihood = -28905.124
Iteration 24: (EM) log likelihood = -28901.15
Iteration 25: (EM) log likelihood = -28896.322
Iteration 26: (EM) log likelihood = -28890.206
Iteration 27: (EM) log likelihood = -28882.662
Iteration 28: (EM) log likelihood = -28874.707
Iteration 29: (EM) log likelihood = -28866.708
Iteration 30: (EM) log likelihood = -28857.848
Iteration 31: (EM) log likelihood = -28848.439
Iteration 32: (EM) log likelihood = -28838.145
Iteration 33: (EM) log likelihood = -28827.431
Iteration 34: (EM) log likelihood = -28816.875
Iteration 35: (EM) log likelihood = -28806.833
Iteration 36: (EM) log likelihood = -28795.372
Iteration 37: (EM) log likelihood = -28784.364
Iteration 38: (EM) log likelihood = -28773.333
Iteration 39: (EM) log likelihood = -28762.435
Iteration 40: (EM) log likelihood = -28751.271
Iteration 41: (EM) log likelihood = -28740.09
Iteration 42: (EM) log likelihood = -28728.82
Iteration 43: (EM) log likelihood = -28717.735
Iteration 44: (EM) log likelihood = -28706.745
Iteration 45: (EM) log likelihood = -28695.558
Iteration 46: (EM) log likelihood = -28684.624
Iteration 47: (EM) log likelihood = -28673.502
Iteration 48: (EM) log likelihood = -28662.803
Iteration 49: (EM) log likelihood = -28652.604
Iteration 50: (EM) log likelihood = -28641.762
Iteration 51: (EM) log likelihood = -28631.186
Iteration 52: (EM) log likelihood = -28620.799
Iteration 53: (EM) log likelihood = -28610.381
Iteration 54: (EM) log likelihood = -28600.4
Iteration 55: (EM) log likelihood = -28590.352
Iteration 56: (EM) log likelihood = -28580.28
Iteration 57: (EM) log likelihood = -28570.718
Iteration 58: (EM) log likelihood = -28561.282
Iteration 59: (EM) log likelihood = -28551.992
Iteration 60: (EM) log likelihood = -28542.794
Iteration 61: (EM) log likelihood = -28533.924
Iteration 62: (EM) log likelihood = -28525.021
Iteration 63: (EM) log likelihood = -28516.396
Iteration 64: (EM) log likelihood = -28508.259
Iteration 65: (EM) log likelihood = -28499.477
Iteration 66: (EM) log likelihood = -28491.53
Iteration 67: (EM) log likelihood = -28483.791
Iteration 68: (EM) log likelihood = -28476.25
Iteration 69: (EM) log likelihood = -28468.898
Iteration 70: (EM) log likelihood = -28460.921
Iteration 71: (EM) log likelihood = -28454.213
Iteration 72: (EM) log likelihood = -28447.977
Iteration 73: (EM) log likelihood = -28441.415
Iteration 74: (EM) log likelihood = -28434.855
Iteration 75: (EM) log likelihood = -28428.099
Iteration 76: (EM) log likelihood = -28421.904
Iteration 77: (EM) log likelihood = -28415.98
Iteration 78: (EM) log likelihood = -28409.893
Iteration 79: (EM) log likelihood = -28403.998
Iteration 80: (EM) log likelihood = -28398.328
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.9577
Iteration 1: (class) log likelihood = -4161.9577
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29156.919
Iteration 1: (outcome) log likelihood = -29156.919
Refining starting values:
Iteration 0: (EM) log likelihood = -33315.192
Iteration 1: (EM) log likelihood = -33299.746
Iteration 2: (EM) log likelihood = -33251.89
Iteration 3: (EM) log likelihood = -33100.798
Iteration 4: (EM) log likelihood = -32658.302
Iteration 5: (EM) log likelihood = -31734.061
Iteration 6: (EM) log likelihood = -30620.463
Iteration 7: (EM) log likelihood = -29813.094
Iteration 8: (EM) log likelihood = -29353.955
Iteration 9: (EM) log likelihood = -29107.61
Iteration 10: (EM) log likelihood = -28988.338
Iteration 11: (EM) log likelihood = -28934.783
Iteration 12: (EM) log likelihood = -28910.237
Iteration 13: (EM) log likelihood = -28897.541
Iteration 14: (EM) log likelihood = -28889.529
Iteration 15: (EM) log likelihood = -28883.547
Iteration 16: (EM) log likelihood = -28877.866
Iteration 17: (EM) log likelihood = -28872.189
Iteration 18: (EM) log likelihood = -28866.17
Iteration 19: (EM) log likelihood = -28859.7
Iteration 20: (EM) log likelihood = -28852.728
Iteration 21: (EM) log likelihood = -28845.051
Iteration 22: (EM) log likelihood = -28836.906
Iteration 23: (EM) log likelihood = -28828.142
Iteration 24: (EM) log likelihood = -28818.945
Iteration 25: (EM) log likelihood = -28809.239
Iteration 26: (EM) log likelihood = -28799.178
Iteration 27: (EM) log likelihood = -28788.872
Iteration 28: (EM) log likelihood = -28778.097
Iteration 29: (EM) log likelihood = -28767.543
Iteration 30: (EM) log likelihood = -28756.876
Iteration 31: (EM) log likelihood = -28746.201
Iteration 32: (EM) log likelihood = -28735.371
Iteration 33: (EM) log likelihood = -28724.682
Iteration 34: (EM) log likelihood = -28714.067
Iteration 35: (EM) log likelihood = -28703.659
Iteration 36: (EM) log likelihood = -28693.164
Iteration 37: (EM) log likelihood = -28682.966
Iteration 38: (EM) log likelihood = -28672.89
Iteration 39: (EM) log likelihood = -28662.881
Iteration 40: (EM) log likelihood = -28652.981
Iteration 41: (EM) log likelihood = -28643.208
Iteration 42: (EM) log likelihood = -28633.475
Iteration 43: (EM) log likelihood = -28623.665
Iteration 44: (EM) log likelihood = -28614.175
Iteration 45: (EM) log likelihood = -28604.818
Iteration 46: (EM) log likelihood = -28595.576
Iteration 47: (EM) log likelihood = -28586.512
Iteration 48: (EM) log likelihood = -28577.77
Iteration 49: (EM) log likelihood = -28569.531
Iteration 50: (EM) log likelihood = -28560.703
Iteration 51: (EM) log likelihood = -28552.017
Iteration 52: (EM) log likelihood = -28542.614
Iteration 53: (EM) log likelihood = -28534.922
Iteration 54: (EM) log likelihood = -28526.731
Iteration 55: (EM) log likelihood = -28518.568
Iteration 56: (EM) log likelihood = -28510.466
Iteration 57: (EM) log likelihood = -28502.919
Iteration 58: (EM) log likelihood = -28495.576
Iteration 59: (EM) log likelihood = -28488.341
Iteration 60: (EM) log likelihood = -28481.332
Iteration 61: (EM) log likelihood = -28474.467
Iteration 62: (EM) log likelihood = -28467.663
Iteration 63: (EM) log likelihood = -28461.089
Iteration 64: (EM) log likelihood = -28454.652
Iteration 65: (EM) log likelihood = -28448.32
Iteration 66: (EM) log likelihood = -28441.636
Iteration 67: (EM) log likelihood = -28436.237
Iteration 68: (EM) log likelihood = -28430.81
Iteration 69: (EM) log likelihood = -28425.443
Iteration 70: (EM) log likelihood = -28419.789
Iteration 71: (EM) log likelihood = -28414.191
Iteration 72: (EM) log likelihood = -28408.774
Iteration 73: (EM) log likelihood = -28403.659
Iteration 74: (EM) log likelihood = -28398.517
Iteration 75: (EM) log likelihood = -28393.569
Iteration 76: (EM) log likelihood = -28388.776
Iteration 77: (EM) log likelihood = -28383.803
Iteration 78: (EM) log likelihood = -28378.97
Iteration 79: (EM) log likelihood = -28374.71
Iteration 80: (EM) log likelihood = -28370.256
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.2647
Iteration 1: (class) log likelihood = -4162.2647
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29151.085
Iteration 1: (outcome) log likelihood = -29151.085
Refining starting values:
Iteration 0: (EM) log likelihood = -33296.086
Iteration 1: (EM) log likelihood = -33229.953
Iteration 2: (EM) log likelihood = -33026.502
Iteration 3: (EM) log likelihood = -32579.149
Iteration 4: (EM) log likelihood = -31960.504
Iteration 5: (EM) log likelihood = -31349.498
Iteration 6: (EM) log likelihood = -30806.305
Iteration 7: (EM) log likelihood = -30315.3
Iteration 8: (EM) log likelihood = -29876.173
Iteration 9: (EM) log likelihood = -29508.95
Iteration 10: (EM) log likelihood = -29215.23
Iteration 11: (EM) log likelihood = -28972.473
Iteration 12: (EM) log likelihood = -28757.872
Iteration 13: (EM) log likelihood = -28564.794
Iteration 14: (EM) log likelihood = -28397.323
Iteration 15: (EM) log likelihood = -28260.733
Iteration 16: (EM) log likelihood = -28161.244
Iteration 17: (EM) log likelihood = -28097.453
Iteration 18: (EM) log likelihood = -28061.057
Iteration 19: (EM) log likelihood = -28043.201
Iteration 20: (EM) log likelihood = -28035.503
Iteration 21: (EM) log likelihood = -28033.292
Iteration 22: (EM) log likelihood = -28033.323
Iteration 23: (EM) log likelihood = -28034.518
Iteration 24: (EM) log likelihood = -28036.197
Iteration 25: (EM) log likelihood = -28037.952
Iteration 26: (EM) log likelihood = -28039.412
Iteration 27: (EM) log likelihood = -28040.484
Iteration 28: (EM) log likelihood = -28041.135
Iteration 29: (EM) log likelihood = -28041.304
Iteration 30: (EM) log likelihood = -28041.412
Iteration 31: (EM) log likelihood = -28041.187
Iteration 32: (EM) log likelihood = -28040.834
Iteration 33: (EM) log likelihood = -28040.435
Iteration 34: (EM) log likelihood = -28039.967
Iteration 35: (EM) log likelihood = -28039.481
Iteration 36: (EM) log likelihood = -28038.804
Iteration 37: (EM) log likelihood = -28038.348
Iteration 38: (EM) log likelihood = -28037.91
Iteration 39: (EM) log likelihood = -28037.418
Iteration 40: (EM) log likelihood = -28036.881
Iteration 41: (EM) log likelihood = -28036.286
Iteration 42: (EM) log likelihood = -28035.583
Iteration 43: (EM) log likelihood = -28034.856
Iteration 44: (EM) log likelihood = -28033.986
Iteration 45: (EM) log likelihood = -28032.875
Iteration 46: (EM) log likelihood = -28031.901
Iteration 47: (EM) log likelihood = -28030.651
Iteration 48: (EM) log likelihood = -28029.229
Iteration 49: (EM) log likelihood = -28027.65
Iteration 50: (EM) log likelihood = -28025.836
Iteration 51: (EM) log likelihood = -28023.708
Iteration 52: (EM) log likelihood = -28021.297
Iteration 53: (EM) log likelihood = -28018.418
Iteration 54: (EM) log likelihood = -28014.547
Iteration 55: (EM) log likelihood = -28010.085
Iteration 56: (EM) log likelihood = -28005.007
Iteration 57: (EM) log likelihood = -27998.61
Iteration 58: (EM) log likelihood = -27991.056
Iteration 59: (EM) log likelihood = -27982.037
Iteration 60: (EM) log likelihood = -27971.109
Iteration 61: (EM) log likelihood = -27958.921
Iteration 62: (EM) log likelihood = -27943.134
Iteration 63: (EM) log likelihood = -27926.758
Iteration 64: (EM) log likelihood = -27909.565
Iteration 65: (EM) log likelihood = -27891.065
Iteration 66: (EM) log likelihood = -27872.652
Iteration 67: (EM) log likelihood = -27854.008
Iteration 68: (EM) log likelihood = -27835.899
Iteration 69: (EM) log likelihood = -27820.271
Iteration 70: (EM) log likelihood = -27806.203
Iteration 71: (EM) log likelihood = -27794.466
Iteration 72: (EM) log likelihood = -27783.633
Iteration 73: (EM) log likelihood = -27775.253
Iteration 74: (EM) log likelihood = -27767.939
Iteration 75: (EM) log likelihood = -27762.733
Iteration 76: (EM) log likelihood = -27758.703
Iteration 77: (EM) log likelihood = -27755.205
Iteration 78: (EM) log likelihood = -27752.978
Iteration 79: (EM) log likelihood = -27750.995
Iteration 80: (EM) log likelihood = -27749.986
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.1509
Iteration 1: (class) log likelihood = -4162.1509
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29151.168
Iteration 1: (outcome) log likelihood = -29151.168
Refining starting values:
Iteration 0: (EM) log likelihood = -33300.14
Iteration 1: (EM) log likelihood = -33250.702
Iteration 2: (EM) log likelihood = -33073.537
Iteration 3: (EM) log likelihood = -32543.252
Iteration 4: (EM) log likelihood = -31635.413
Iteration 5: (EM) log likelihood = -30831.173
Iteration 6: (EM) log likelihood = -30277.301
Iteration 7: (EM) log likelihood = -29848.315
Iteration 8: (EM) log likelihood = -29495.753
Iteration 9: (EM) log likelihood = -29242.355
Iteration 10: (EM) log likelihood = -29085.192
Iteration 11: (EM) log likelihood = -28996.434
Iteration 12: (EM) log likelihood = -28947.784
Iteration 13: (EM) log likelihood = -28919.917
Iteration 14: (EM) log likelihood = -28902.362
Iteration 15: (EM) log likelihood = -28889.593
Iteration 16: (EM) log likelihood = -28879.496
Iteration 17: (EM) log likelihood = -28869.536
Iteration 18: (EM) log likelihood = -28859.286
Iteration 19: (EM) log likelihood = -28849.186
Iteration 20: (EM) log likelihood = -28838.534
Iteration 21: (EM) log likelihood = -28826.829
Iteration 22: (EM) log likelihood = -28815.446
Iteration 23: (EM) log likelihood = -28803.761
Iteration 24: (EM) log likelihood = -28791.311
Iteration 25: (EM) log likelihood = -28778.995
Iteration 26: (EM) log likelihood = -28767.222
Iteration 27: (EM) log likelihood = -28755.36
Iteration 28: (EM) log likelihood = -28743.699
Iteration 29: (EM) log likelihood = -28731.765
Iteration 30: (EM) log likelihood = -28720.207
Iteration 31: (EM) log likelihood = -28708.746
Iteration 32: (EM) log likelihood = -28697.586
Iteration 33: (EM) log likelihood = -28686.635
Iteration 34: (EM) log likelihood = -28675.653
Iteration 35: (EM) log likelihood = -28664.966
Iteration 36: (EM) log likelihood = -28654.064
Iteration 37: (EM) log likelihood = -28643.633
Iteration 38: (EM) log likelihood = -28633.33
Iteration 39: (EM) log likelihood = -28623.015
Iteration 40: (EM) log likelihood = -28612.676
Iteration 41: (EM) log likelihood = -28602.507
Iteration 42: (EM) log likelihood = -28592.829
Iteration 43: (EM) log likelihood = -28583.239
Iteration 44: (EM) log likelihood = -28573.984
Iteration 45: (EM) log likelihood = -28564.745
Iteration 46: (EM) log likelihood = -28555.363
Iteration 47: (EM) log likelihood = -28546.277
Iteration 48: (EM) log likelihood = -28537.361
Iteration 49: (EM) log likelihood = -28529.328
Iteration 50: (EM) log likelihood = -28520.68
Iteration 51: (EM) log likelihood = -28511.962
Iteration 52: (EM) log likelihood = -28503.846
Iteration 53: (EM) log likelihood = -28495.912
Iteration 54: (EM) log likelihood = -28488.15
Iteration 55: (EM) log likelihood = -28480.51
Iteration 56: (EM) log likelihood = -28473.09
Iteration 57: (EM) log likelihood = -28465.979
Iteration 58: (EM) log likelihood = -28459.06
Iteration 59: (EM) log likelihood = -28452.376
Iteration 60: (EM) log likelihood = -28445.848
Iteration 61: (EM) log likelihood = -28439.47
Iteration 62: (EM) log likelihood = -28433.142
Iteration 63: (EM) log likelihood = -28427.16
Iteration 64: (EM) log likelihood = -28421.294
Iteration 65: (EM) log likelihood = -28415.476
Iteration 66: (EM) log likelihood = -28410.02
Iteration 67: (EM) log likelihood = -28404.699
Iteration 68: (EM) log likelihood = -28399.429
Iteration 69: (EM) log likelihood = -28394.708
Iteration 70: (EM) log likelihood = -28389.463
Iteration 71: (EM) log likelihood = -28384.514
Iteration 72: (EM) log likelihood = -28379.638
Iteration 73: (EM) log likelihood = -28374.727
Iteration 74: (EM) log likelihood = -28369.861
Iteration 75: (EM) log likelihood = -28365.456
Iteration 76: (EM) log likelihood = -28360.882
Iteration 77: (EM) log likelihood = -28356.504
Iteration 78: (EM) log likelihood = -28352.153
Iteration 79: (EM) log likelihood = -28348.254
Iteration 80: (EM) log likelihood = -28344.22
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.8311
Iteration 1: (class) log likelihood = -4161.8311
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29129.94
Iteration 1: (outcome) log likelihood = -29129.94
Refining starting values:
Iteration 0: (EM) log likelihood = -33253.631
Iteration 1: (EM) log likelihood = -33105.376
Iteration 2: (EM) log likelihood = -32669.547
Iteration 3: (EM) log likelihood = -31861.426
Iteration 4: (EM) log likelihood = -30963.62
Iteration 5: (EM) log likelihood = -30274.193
Iteration 6: (EM) log likelihood = -29779.538
Iteration 7: (EM) log likelihood = -29412.482
Iteration 8: (EM) log likelihood = -29173.358
Iteration 9: (EM) log likelihood = -29039.432
Iteration 10: (EM) log likelihood = -28970.097
Iteration 11: (EM) log likelihood = -28934.42
Iteration 12: (EM) log likelihood = -28914.727
Iteration 13: (EM) log likelihood = -28902.541
Iteration 14: (EM) log likelihood = -28893.616
Iteration 15: (EM) log likelihood = -28886.097
Iteration 16: (EM) log likelihood = -28879.104
Iteration 17: (EM) log likelihood = -28872.131
Iteration 18: (EM) log likelihood = -28865.122
Iteration 19: (EM) log likelihood = -28857.486
Iteration 20: (EM) log likelihood = -28849.752
Iteration 21: (EM) log likelihood = -28841.808
Iteration 22: (EM) log likelihood = -28833.598
Iteration 23: (EM) log likelihood = -28825.005
Iteration 24: (EM) log likelihood = -28816.185
Iteration 25: (EM) log likelihood = -28807.108
Iteration 26: (EM) log likelihood = -28797.901
Iteration 27: (EM) log likelihood = -28788.685
Iteration 28: (EM) log likelihood = -28779.306
Iteration 29: (EM) log likelihood = -28769.83
Iteration 30: (EM) log likelihood = -28760.292
Iteration 31: (EM) log likelihood = -28750.615
Iteration 32: (EM) log likelihood = -28741.144
Iteration 33: (EM) log likelihood = -28731.343
Iteration 34: (EM) log likelihood = -28721.576
Iteration 35: (EM) log likelihood = -28711.818
Iteration 36: (EM) log likelihood = -28702.278
Iteration 37: (EM) log likelihood = -28692.955
Iteration 38: (EM) log likelihood = -28683.117
Iteration 39: (EM) log likelihood = -28673.61
Iteration 40: (EM) log likelihood = -28664.011
Iteration 41: (EM) log likelihood = -28654.333
Iteration 42: (EM) log likelihood = -28644.928
Iteration 43: (EM) log likelihood = -28635.219
Iteration 44: (EM) log likelihood = -28625.811
Iteration 45: (EM) log likelihood = -28617.642
Iteration 46: (EM) log likelihood = -28608.422
Iteration 47: (EM) log likelihood = -28599.227
Iteration 48: (EM) log likelihood = -28590.152
Iteration 49: (EM) log likelihood = -28581.216
Iteration 50: (EM) log likelihood = -28572.413
Iteration 51: (EM) log likelihood = -28563.479
Iteration 52: (EM) log likelihood = -28554.706
Iteration 53: (EM) log likelihood = -28546.157
Iteration 54: (EM) log likelihood = -28537.933
Iteration 55: (EM) log likelihood = -28529.693
Iteration 56: (EM) log likelihood = -28521.536
Iteration 57: (EM) log likelihood = -28514.082
Iteration 58: (EM) log likelihood = -28506.057
Iteration 59: (EM) log likelihood = -28498.642
Iteration 60: (EM) log likelihood = -28491.708
Iteration 61: (EM) log likelihood = -28484.852
Iteration 62: (EM) log likelihood = -28477.903
Iteration 63: (EM) log likelihood = -28471.251
Iteration 64: (EM) log likelihood = -28464.667
Iteration 65: (EM) log likelihood = -28458.29
Iteration 66: (EM) log likelihood = -28452.096
Iteration 67: (EM) log likelihood = -28446.103
Iteration 68: (EM) log likelihood = -28440.187
Iteration 69: (EM) log likelihood = -28434.04
Iteration 70: (EM) log likelihood = -28428.971
Iteration 71: (EM) log likelihood = -28423.095
Iteration 72: (EM) log likelihood = -28417.594
Iteration 73: (EM) log likelihood = -28412.663
Iteration 74: (EM) log likelihood = -28407.202
Iteration 75: (EM) log likelihood = -28402.107
Iteration 76: (EM) log likelihood = -28396.92
Iteration 77: (EM) log likelihood = -28391.502
Iteration 78: (EM) log likelihood = -28386.694
Iteration 79: (EM) log likelihood = -28382.038
Iteration 80: (EM) log likelihood = -28376.971
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.497
Iteration 1: (class) log likelihood = -4161.497
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29148.828
Iteration 1: (outcome) log likelihood = -29148.828
Refining starting values:
Iteration 0: (EM) log likelihood = -33300.615
Iteration 1: (EM) log likelihood = -33250.984
Iteration 2: (EM) log likelihood = -33055.048
Iteration 3: (EM) log likelihood = -32452.58
Iteration 4: (EM) log likelihood = -31477.392
Iteration 5: (EM) log likelihood = -30698.694
Iteration 6: (EM) log likelihood = -30217.285
Iteration 7: (EM) log likelihood = -29866.351
Iteration 8: (EM) log likelihood = -29577.943
Iteration 9: (EM) log likelihood = -29347.033
Iteration 10: (EM) log likelihood = -29176.073
Iteration 11: (EM) log likelihood = -29061.334
Iteration 12: (EM) log likelihood = -28989.286
Iteration 13: (EM) log likelihood = -28943.187
Iteration 14: (EM) log likelihood = -28912.4
Iteration 15: (EM) log likelihood = -28888.856
Iteration 16: (EM) log likelihood = -28869.266
Iteration 17: (EM) log likelihood = -28852.476
Iteration 18: (EM) log likelihood = -28837.132
Iteration 19: (EM) log likelihood = -28822.973
Iteration 20: (EM) log likelihood = -28809.305
Iteration 21: (EM) log likelihood = -28796.406
Iteration 22: (EM) log likelihood = -28783.918
Iteration 23: (EM) log likelihood = -28771.715
Iteration 24: (EM) log likelihood = -28759.818
Iteration 25: (EM) log likelihood = -28748.094
Iteration 26: (EM) log likelihood = -28736.545
Iteration 27: (EM) log likelihood = -28725.297
Iteration 28: (EM) log likelihood = -28714.236
Iteration 29: (EM) log likelihood = -28703.519
Iteration 30: (EM) log likelihood = -28692.832
Iteration 31: (EM) log likelihood = -28681.847
Iteration 32: (EM) log likelihood = -28671.124
Iteration 33: (EM) log likelihood = -28660.803
Iteration 34: (EM) log likelihood = -28650.451
Iteration 35: (EM) log likelihood = -28640.449
Iteration 36: (EM) log likelihood = -28630.364
Iteration 37: (EM) log likelihood = -28620.342
Iteration 38: (EM) log likelihood = -28610.758
Iteration 39: (EM) log likelihood = -28600.796
Iteration 40: (EM) log likelihood = -28590.916
Iteration 41: (EM) log likelihood = -28581.7
Iteration 42: (EM) log likelihood = -28572.513
Iteration 43: (EM) log likelihood = -28563.513
Iteration 44: (EM) log likelihood = -28554.657
Iteration 45: (EM) log likelihood = -28545.983
Iteration 46: (EM) log likelihood = -28538.896
Iteration 47: (EM) log likelihood = -28530.421
Iteration 48: (EM) log likelihood = -28521.404
Iteration 49: (EM) log likelihood = -28514.245
Iteration 50: (EM) log likelihood = -28505.367
Iteration 51: (EM) log likelihood = -28497.766
Iteration 52: (EM) log likelihood = -28490.024
Iteration 53: (EM) log likelihood = -28482.549
Iteration 54: (EM) log likelihood = -28475.291
Iteration 55: (EM) log likelihood = -28468.173
Iteration 56: (EM) log likelihood = -28461.172
Iteration 57: (EM) log likelihood = -28454.458
Iteration 58: (EM) log likelihood = -28447.585
Iteration 59: (EM) log likelihood = -28441.243
Iteration 60: (EM) log likelihood = -28434.912
Iteration 61: (EM) log likelihood = -28428.832
Iteration 62: (EM) log likelihood = -28422.895
Iteration 63: (EM) log likelihood = -28416.929
Iteration 64: (EM) log likelihood = -28411.42
Iteration 65: (EM) log likelihood = -28406.081
Iteration 66: (EM) log likelihood = -28400.424
Iteration 67: (EM) log likelihood = -28395.225
Iteration 68: (EM) log likelihood = -28390.044
Iteration 69: (EM) log likelihood = -28385.05
Iteration 70: (EM) log likelihood = -28380.153
Iteration 71: (EM) log likelihood = -28375.286
Iteration 72: (EM) log likelihood = -28370.441
Iteration 73: (EM) log likelihood = -28365.929
Iteration 74: (EM) log likelihood = -28360.915
Iteration 75: (EM) log likelihood = -28355.93
Iteration 76: (EM) log likelihood = -28351.74
Iteration 77: (EM) log likelihood = -28347.407
Iteration 78: (EM) log likelihood = -28343.392
Iteration 79: (EM) log likelihood = -28339.493
Iteration 80: (EM) log likelihood = -28335.622
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.0628
Iteration 1: (class) log likelihood = -4162.0628
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29148.237
Iteration 1: (outcome) log likelihood = -29148.237
Refining starting values:
Iteration 0: (EM) log likelihood = -33303.258
Iteration 1: (EM) log likelihood = -33283.106
Iteration 2: (EM) log likelihood = -33226.859
Iteration 3: (EM) log likelihood = -33054.77
Iteration 4: (EM) log likelihood = -32578.189
Iteration 5: (EM) log likelihood = -31735.726
Iteration 6: (EM) log likelihood = -30937.443
Iteration 7: (EM) log likelihood = -30411.075
Iteration 8: (EM) log likelihood = -30031.111
Iteration 9: (EM) log likelihood = -29702.154
Iteration 10: (EM) log likelihood = -29430.285
Iteration 11: (EM) log likelihood = -29229.27
Iteration 12: (EM) log likelihood = -29088.908
Iteration 13: (EM) log likelihood = -28997.125
Iteration 14: (EM) log likelihood = -28937.962
Iteration 15: (EM) log likelihood = -28898.147
Iteration 16: (EM) log likelihood = -28872.79
Iteration 17: (EM) log likelihood = -28857.439
Iteration 18: (EM) log likelihood = -28847.461
Iteration 19: (EM) log likelihood = -28839.327
Iteration 20: (EM) log likelihood = -28830.93
Iteration 21: (EM) log likelihood = -28821.103
Iteration 22: (EM) log likelihood = -28810.951
Iteration 23: (EM) log likelihood = -28799.271
Iteration 24: (EM) log likelihood = -28786.417
Iteration 25: (EM) log likelihood = -28774.188
Iteration 26: (EM) log likelihood = -28760.295
Iteration 27: (EM) log likelihood = -28746.161
Iteration 28: (EM) log likelihood = -28731.773
Iteration 29: (EM) log likelihood = -28716.925
Iteration 30: (EM) log likelihood = -28701.901
Iteration 31: (EM) log likelihood = -28687.62
Iteration 32: (EM) log likelihood = -28673.171
Iteration 33: (EM) log likelihood = -28658.887
Iteration 34: (EM) log likelihood = -28645.309
Iteration 35: (EM) log likelihood = -28633.389
Iteration 36: (EM) log likelihood = -28619.955
Iteration 37: (EM) log likelihood = -28607.258
Iteration 38: (EM) log likelihood = -28595.498
Iteration 39: (EM) log likelihood = -28583.725
Iteration 40: (EM) log likelihood = -28572.329
Iteration 41: (EM) log likelihood = -28561.049
Iteration 42: (EM) log likelihood = -28550.333
Iteration 43: (EM) log likelihood = -28539.77
Iteration 44: (EM) log likelihood = -28529.911
Iteration 45: (EM) log likelihood = -28518.245
Iteration 46: (EM) log likelihood = -28508.941
Iteration 47: (EM) log likelihood = -28499.819
Iteration 48: (EM) log likelihood = -28490.913
Iteration 49: (EM) log likelihood = -28482.108
Iteration 50: (EM) log likelihood = -28473.613
Iteration 51: (EM) log likelihood = -28465.569
Iteration 52: (EM) log likelihood = -28457.685
Iteration 53: (EM) log likelihood = -28450.047
Iteration 54: (EM) log likelihood = -28442.281
Iteration 55: (EM) log likelihood = -28434.988
Iteration 56: (EM) log likelihood = -28428.027
Iteration 57: (EM) log likelihood = -28420.802
Iteration 58: (EM) log likelihood = -28414.209
Iteration 59: (EM) log likelihood = -28407.951
Iteration 60: (EM) log likelihood = -28401.668
Iteration 61: (EM) log likelihood = -28395.532
Iteration 62: (EM) log likelihood = -28389.606
Iteration 63: (EM) log likelihood = -28384.154
Iteration 64: (EM) log likelihood = -28378.845
Iteration 65: (EM) log likelihood = -28373.403
Iteration 66: (EM) log likelihood = -28367.943
Iteration 67: (EM) log likelihood = -28362.989
Iteration 68: (EM) log likelihood = -28357.967
Iteration 69: (EM) log likelihood = -28352.518
Iteration 70: (EM) log likelihood = -28348.399
Iteration 71: (EM) log likelihood = -28344.328
Iteration 72: (EM) log likelihood = -28339.911
Iteration 73: (EM) log likelihood = -28335.61
Iteration 74: (EM) log likelihood = -28331.594
Iteration 75: (EM) log likelihood = -28327.169
Iteration 76: (EM) log likelihood = -28323.205
Iteration 77: (EM) log likelihood = -28319.462
Iteration 78: (EM) log likelihood = -28315.673
Iteration 79: (EM) log likelihood = -28312.137
Iteration 80: (EM) log likelihood = -28308.737
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4158.6498
Iteration 1: (class) log likelihood = -4158.6498
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29158.257
Iteration 1: (outcome) log likelihood = -29158.257
Refining starting values:
Iteration 0: (EM) log likelihood = -33314.749
Iteration 1: (EM) log likelihood = -33302.212
Iteration 2: (EM) log likelihood = -33253.586
Iteration 3: (EM) log likelihood = -33061.771
Iteration 4: (EM) log likelihood = -32445.754
Iteration 5: (EM) log likelihood = -31429.219
Iteration 6: (EM) log likelihood = -30658.537
Iteration 7: (EM) log likelihood = -30213.795
Iteration 8: (EM) log likelihood = -29920.002
Iteration 9: (EM) log likelihood = -29715.466
Iteration 10: (EM) log likelihood = -29570.575
Iteration 11: (EM) log likelihood = -29460.76
Iteration 12: (EM) log likelihood = -29375.038
Iteration 13: (EM) log likelihood = -29308.797
Iteration 14: (EM) log likelihood = -29256.776
Iteration 15: (EM) log likelihood = -29211.631
Iteration 16: (EM) log likelihood = -29166.294
Iteration 17: (EM) log likelihood = -29118.049
Iteration 18: (EM) log likelihood = -29065.016
Iteration 19: (EM) log likelihood = -29008.228
Iteration 20: (EM) log likelihood = -28953.832
Iteration 21: (EM) log likelihood = -28905.248
Iteration 22: (EM) log likelihood = -28866.022
Iteration 23: (EM) log likelihood = -28837.641
Iteration 24: (EM) log likelihood = -28818.504
Iteration 25: (EM) log likelihood = -28805.811
Iteration 26: (EM) log likelihood = -28797.427
Iteration 27: (EM) log likelihood = -28792.578
Iteration 28: (EM) log likelihood = -28789.552
Iteration 29: (EM) log likelihood = -28787.508
Iteration 30: (EM) log likelihood = -28787.122
Iteration 31: (EM) log likelihood = -28786.624
Iteration 32: (EM) log likelihood = -28786.618
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.2744
Iteration 1: (class) log likelihood = -4161.2744
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29132.775
Iteration 1: (outcome) log likelihood = -29132.775
Refining starting values:
Iteration 0: (EM) log likelihood = -33257.131
Iteration 1: (EM) log likelihood = -33093.402
Iteration 2: (EM) log likelihood = -32549.106
Iteration 3: (EM) log likelihood = -31579.727
Iteration 4: (EM) log likelihood = -30765.119
Iteration 5: (EM) log likelihood = -30276.447
Iteration 6: (EM) log likelihood = -29941.3
Iteration 7: (EM) log likelihood = -29680.127
Iteration 8: (EM) log likelihood = -29473.6
Iteration 9: (EM) log likelihood = -29297.669
Iteration 10: (EM) log likelihood = -29146.89
Iteration 11: (EM) log likelihood = -29028.782
Iteration 12: (EM) log likelihood = -28945.548
Iteration 13: (EM) log likelihood = -28892.35
Iteration 14: (EM) log likelihood = -28860.663
Iteration 15: (EM) log likelihood = -28841.083
Iteration 16: (EM) log likelihood = -28829.29
Iteration 17: (EM) log likelihood = -28821.154
Iteration 18: (EM) log likelihood = -28816.405
Iteration 19: (EM) log likelihood = -28812.711
Iteration 20: (EM) log likelihood = -28810.223
Iteration 21: (EM) log likelihood = -28808.46
Iteration 22: (EM) log likelihood = -28806.255
Iteration 23: (EM) log likelihood = -28805.041
Iteration 24: (EM) log likelihood = -28804.042
Iteration 25: (EM) log likelihood = -28803.449
Iteration 26: (EM) log likelihood = -28802.45
Iteration 27: (EM) log likelihood = -28802.433
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4160.1089
Iteration 1: (class) log likelihood = -4160.1089
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29140.364
Iteration 1: (outcome) log likelihood = -29140.364
Refining starting values:
Iteration 0: (EM) log likelihood = -33273.262
Iteration 1: (EM) log likelihood = -33164.452
Iteration 2: (EM) log likelihood = -32816.015
Iteration 3: (EM) log likelihood = -32096.237
Iteration 4: (EM) log likelihood = -31247.61
Iteration 5: (EM) log likelihood = -30572.66
Iteration 6: (EM) log likelihood = -30089.134
Iteration 7: (EM) log likelihood = -29718.812
Iteration 8: (EM) log likelihood = -29428.355
Iteration 9: (EM) log likelihood = -29228.826
Iteration 10: (EM) log likelihood = -29103.57
Iteration 11: (EM) log likelihood = -29024.143
Iteration 12: (EM) log likelihood = -28970.71
Iteration 13: (EM) log likelihood = -28931.366
Iteration 14: (EM) log likelihood = -28899.513
Iteration 15: (EM) log likelihood = -28871.634
Iteration 16: (EM) log likelihood = -28845.443
Iteration 17: (EM) log likelihood = -28819.968
Iteration 18: (EM) log likelihood = -28793.978
Iteration 19: (EM) log likelihood = -28766.966
Iteration 20: (EM) log likelihood = -28738.303
Iteration 21: (EM) log likelihood = -28708.388
Iteration 22: (EM) log likelihood = -28676.644
Iteration 23: (EM) log likelihood = -28643.895
Iteration 24: (EM) log likelihood = -28611.015
Iteration 25: (EM) log likelihood = -28578.566
Iteration 26: (EM) log likelihood = -28546.501
Iteration 27: (EM) log likelihood = -28515.618
Iteration 28: (EM) log likelihood = -28486.8
Iteration 29: (EM) log likelihood = -28459.11
Iteration 30: (EM) log likelihood = -28432.343
Iteration 31: (EM) log likelihood = -28407.84
Iteration 32: (EM) log likelihood = -28384.812
Iteration 33: (EM) log likelihood = -28363.679
Iteration 34: (EM) log likelihood = -28344.167
Iteration 35: (EM) log likelihood = -28326.131
Iteration 36: (EM) log likelihood = -28309.194
Iteration 37: (EM) log likelihood = -28294.131
Iteration 38: (EM) log likelihood = -28280.351
Iteration 39: (EM) log likelihood = -28268.127
Iteration 40: (EM) log likelihood = -28256.937
Iteration 41: (EM) log likelihood = -28247.715
Iteration 42: (EM) log likelihood = -28238.824
Iteration 43: (EM) log likelihood = -28230.481
Iteration 44: (EM) log likelihood = -28223.027
Iteration 45: (EM) log likelihood = -28216.287
Iteration 46: (EM) log likelihood = -28210.535
Iteration 47: (EM) log likelihood = -28205.048
Iteration 48: (EM) log likelihood = -28200.12
Iteration 49: (EM) log likelihood = -28195.57
Iteration 50: (EM) log likelihood = -28191.76
Iteration 51: (EM) log likelihood = -28188.01
Iteration 52: (EM) log likelihood = -28184.92
Iteration 53: (EM) log likelihood = -28182.145
Iteration 54: (EM) log likelihood = -28179.492
Iteration 55: (EM) log likelihood = -28176.912
Iteration 56: (EM) log likelihood = -28174.971
Iteration 57: (EM) log likelihood = -28173.27
Iteration 58: (EM) log likelihood = -28171.697
Iteration 59: (EM) log likelihood = -28173.656
Iteration 60: (EM) log likelihood = -28171.601
Iteration 61: (EM) log likelihood = -28169.701
Iteration 62: (EM) log likelihood = -28167.81
Iteration 63: (EM) log likelihood = -28166.588
Iteration 64: (EM) log likelihood = -28165.561
Iteration 65: (EM) log likelihood = -28164.673
Iteration 66: (EM) log likelihood = -28163.877
Iteration 67: (EM) log likelihood = -28163.162
Iteration 68: (EM) log likelihood = -28162.51
Iteration 69: (EM) log likelihood = -28161.961
Iteration 70: (EM) log likelihood = -28161.462
Iteration 71: (EM) log likelihood = -28161.005
Iteration 72: (EM) log likelihood = -28160.584
Iteration 73: (EM) log likelihood = -28159.076
Iteration 74: (EM) log likelihood = -28158.546
Iteration 75: (EM) log likelihood = -28158.257
Iteration 76: (EM) log likelihood = -28158.038
Iteration 77: (EM) log likelihood = -28157.872
Iteration 78: (EM) log likelihood = -28157.812
Iteration 79: (EM) log likelihood = -28157.633
Iteration 80: (EM) log likelihood = -28157.518
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.5651
Iteration 1: (class) log likelihood = -4162.5651
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29146.546
Iteration 1: (outcome) log likelihood = -29146.546
Refining starting values:
Iteration 0: (EM) log likelihood = -33289.608
Iteration 1: (EM) log likelihood = -33215.921
Iteration 2: (EM) log likelihood = -32978.228
Iteration 3: (EM) log likelihood = -32396.663
Iteration 4: (EM) log likelihood = -31526.909
Iteration 5: (EM) log likelihood = -30747.709
Iteration 6: (EM) log likelihood = -30231.178
Iteration 7: (EM) log likelihood = -29883.836
Iteration 8: (EM) log likelihood = -29636.478
Iteration 9: (EM) log likelihood = -29465.288
Iteration 10: (EM) log likelihood = -29342.871
Iteration 11: (EM) log likelihood = -29250.309
Iteration 12: (EM) log likelihood = -29179.495
Iteration 13: (EM) log likelihood = -29125.509
Iteration 14: (EM) log likelihood = -29084.518
Iteration 15: (EM) log likelihood = -29050.925
Iteration 16: (EM) log likelihood = -29022.511
Iteration 17: (EM) log likelihood = -28995.665
Iteration 18: (EM) log likelihood = -28968.748
Iteration 19: (EM) log likelihood = -28944.306
Iteration 20: (EM) log likelihood = -28922.335
Iteration 21: (EM) log likelihood = -28899.58
Iteration 22: (EM) log likelihood = -28875.61
Iteration 23: (EM) log likelihood = -28851.833
Iteration 24: (EM) log likelihood = -28828.126
Iteration 25: (EM) log likelihood = -28807.387
Iteration 26: (EM) log likelihood = -28783.71
Iteration 27: (EM) log likelihood = -28761.433
Iteration 28: (EM) log likelihood = -28737.116
Iteration 29: (EM) log likelihood = -28712.475
Iteration 30: (EM) log likelihood = -28688.646
Iteration 31: (EM) log likelihood = -28664.141
Iteration 32: (EM) log likelihood = -28639.905
Iteration 33: (EM) log likelihood = -28616.092
Iteration 34: (EM) log likelihood = -28593.061
Iteration 35: (EM) log likelihood = -28569.583
Iteration 36: (EM) log likelihood = -28546.747
Iteration 37: (EM) log likelihood = -28523.645
Iteration 38: (EM) log likelihood = -28501.221
Iteration 39: (EM) log likelihood = -28478.393
Iteration 40: (EM) log likelihood = -28455.266
Iteration 41: (EM) log likelihood = -28434.075
Iteration 42: (EM) log likelihood = -28413.862
Iteration 43: (EM) log likelihood = -28394.92
Iteration 44: (EM) log likelihood = -28374.548
Iteration 45: (EM) log likelihood = -28354.417
Iteration 46: (EM) log likelihood = -28333.605
Iteration 47: (EM) log likelihood = -28313.426
Iteration 48: (EM) log likelihood = -28295.091
Iteration 49: (EM) log likelihood = -28278.724
Iteration 50: (EM) log likelihood = -28260.136
Iteration 51: (EM) log likelihood = -28243.071
Iteration 52: (EM) log likelihood = -28225.664
Iteration 53: (EM) log likelihood = -28209.671
Iteration 54: (EM) log likelihood = -28193.13
Iteration 55: (EM) log likelihood = -28177.64
Iteration 56: (EM) log likelihood = -28162.366
Iteration 57: (EM) log likelihood = -28147.981
Iteration 58: (EM) log likelihood = -28133.331
Iteration 59: (EM) log likelihood = -28120.128
Iteration 60: (EM) log likelihood = -28107.236
Iteration 61: (EM) log likelihood = -28093.712
Iteration 62: (EM) log likelihood = -28081.597
Iteration 63: (EM) log likelihood = -28071.43
Iteration 64: (EM) log likelihood = -28059.625
Iteration 65: (EM) log likelihood = -28048.119
Iteration 66: (EM) log likelihood = -28037.208
Iteration 67: (EM) log likelihood = -28028.411
Iteration 68: (EM) log likelihood = -28018.33
Iteration 69: (EM) log likelihood = -28008.618
Iteration 70: (EM) log likelihood = -27999.177
Iteration 71: (EM) log likelihood = -27990.052
Iteration 72: (EM) log likelihood = -27981.248
Iteration 73: (EM) log likelihood = -27972.768
Iteration 74: (EM) log likelihood = -27961.989
Iteration 75: (EM) log likelihood = -27954.181
Iteration 76: (EM) log likelihood = -27945.753
Iteration 77: (EM) log likelihood = -27938.358
Iteration 78: (EM) log likelihood = -27929.732
Iteration 79: (EM) log likelihood = -27923.084
Iteration 80: (EM) log likelihood = -27916.621
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.2027
Iteration 1: (class) log likelihood = -4162.2027
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29153.168
Iteration 1: (outcome) log likelihood = -29153.168
Refining starting values:
Iteration 0: (EM) log likelihood = -33311.734
Iteration 1: (EM) log likelihood = -33289.395
Iteration 2: (EM) log likelihood = -33204.446
Iteration 3: (EM) log likelihood = -32938.333
Iteration 4: (EM) log likelihood = -32376.982
Iteration 5: (EM) log likelihood = -31656.817
Iteration 6: (EM) log likelihood = -30951.133
Iteration 7: (EM) log likelihood = -30252.003
Iteration 8: (EM) log likelihood = -29606.231
Iteration 9: (EM) log likelihood = -29154.755
Iteration 10: (EM) log likelihood = -28928.052
Iteration 11: (EM) log likelihood = -28841.393
Iteration 12: (EM) log likelihood = -28814.348
Iteration 13: (EM) log likelihood = -28809.31
Iteration 14: (EM) log likelihood = -28811.556
Iteration 15: (EM) log likelihood = -28816.447
Iteration 16: (EM) log likelihood = -28822.23
Iteration 17: (EM) log likelihood = -28828.256
Iteration 18: (EM) log likelihood = -28834.521
Iteration 19: (EM) log likelihood = -28840.658
Iteration 20: (EM) log likelihood = -28846.666
Iteration 21: (EM) log likelihood = -28852.402
Iteration 22: (EM) log likelihood = -28857.786
Iteration 23: (EM) log likelihood = -28862.949
Iteration 24: (EM) log likelihood = -28867.611
Iteration 25: (EM) log likelihood = -28871.765
Iteration 26: (EM) log likelihood = -28875.534
Iteration 27: (EM) log likelihood = -28878.481
Iteration 28: (EM) log likelihood = -28880.775
Iteration 29: (EM) log likelihood = -28882.405
Iteration 30: (EM) log likelihood = -28883.261
Iteration 31: (EM) log likelihood = -28883.419
Iteration 32: (EM) log likelihood = -28882.9
Iteration 33: (EM) log likelihood = -28881.496
Iteration 34: (EM) log likelihood = -28879.272
Iteration 35: (EM) log likelihood = -28876.351
Iteration 36: (EM) log likelihood = -28872.889
Iteration 37: (EM) log likelihood = -28868.771
Iteration 38: (EM) log likelihood = -28863.588
Iteration 39: (EM) log likelihood = -28857.71
Iteration 40: (EM) log likelihood = -28851.543
Iteration 41: (EM) log likelihood = -28844.651
Iteration 42: (EM) log likelihood = -28837.443
Iteration 43: (EM) log likelihood = -28829.752
Iteration 44: (EM) log likelihood = -28821.766
Iteration 45: (EM) log likelihood = -28813.452
Iteration 46: (EM) log likelihood = -28804.796
Iteration 47: (EM) log likelihood = -28795.907
Iteration 48: (EM) log likelihood = -28788.05
Iteration 49: (EM) log likelihood = -28779.043
Iteration 50: (EM) log likelihood = -28769.788
Iteration 51: (EM) log likelihood = -28760.792
Iteration 52: (EM) log likelihood = -28751.42
Iteration 53: (EM) log likelihood = -28742.426
Iteration 54: (EM) log likelihood = -28732.59
Iteration 55: (EM) log likelihood = -28722.501
Iteration 56: (EM) log likelihood = -28713.095
Iteration 57: (EM) log likelihood = -28703.074
Iteration 58: (EM) log likelihood = -28692.986
Iteration 59: (EM) log likelihood = -28683.158
Iteration 60: (EM) log likelihood = -28673.362
Iteration 61: (EM) log likelihood = -28663.164
Iteration 62: (EM) log likelihood = -28653.715
Iteration 63: (EM) log likelihood = -28643.839
Iteration 64: (EM) log likelihood = -28634.046
Iteration 65: (EM) log likelihood = -28624.513
Iteration 66: (EM) log likelihood = -28614.909
Iteration 67: (EM) log likelihood = -28605.669
Iteration 68: (EM) log likelihood = -28596.239
Iteration 69: (EM) log likelihood = -28587.005
Iteration 70: (EM) log likelihood = -28577.925
Iteration 71: (EM) log likelihood = -28568.944
Iteration 72: (EM) log likelihood = -28560.069
Iteration 73: (EM) log likelihood = -28551.32
Iteration 74: (EM) log likelihood = -28542.789
Iteration 75: (EM) log likelihood = -28534.008
Iteration 76: (EM) log likelihood = -28525.87
Iteration 77: (EM) log likelihood = -28517.515
Iteration 78: (EM) log likelihood = -28509.678
Iteration 79: (EM) log likelihood = -28501.669
Iteration 80: (EM) log likelihood = -28494.297
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.4279
Iteration 1: (class) log likelihood = -4162.4279
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29147.836
Iteration 1: (outcome) log likelihood = -29147.836
Refining starting values:
Iteration 0: (EM) log likelihood = -33304.002
Iteration 1: (EM) log likelihood = -33283.125
Iteration 2: (EM) log likelihood = -33219.703
Iteration 3: (EM) log likelihood = -33028.882
Iteration 4: (EM) log likelihood = -32557.735
Iteration 5: (EM) log likelihood = -31750.495
Iteration 6: (EM) log likelihood = -30820.617
Iteration 7: (EM) log likelihood = -30113.081
Iteration 8: (EM) log likelihood = -29653.578
Iteration 9: (EM) log likelihood = -29334.961
Iteration 10: (EM) log likelihood = -29131.75
Iteration 11: (EM) log likelihood = -29008.067
Iteration 12: (EM) log likelihood = -28928.626
Iteration 13: (EM) log likelihood = -28874.267
Iteration 14: (EM) log likelihood = -28835.054
Iteration 15: (EM) log likelihood = -28806.568
Iteration 16: (EM) log likelihood = -28784.537
Iteration 17: (EM) log likelihood = -28766.789
Iteration 18: (EM) log likelihood = -28752.35
Iteration 19: (EM) log likelihood = -28739.388
Iteration 20: (EM) log likelihood = -28727.096
Iteration 21: (EM) log likelihood = -28714.754
Iteration 22: (EM) log likelihood = -28701.828
Iteration 23: (EM) log likelihood = -28688.509
Iteration 24: (EM) log likelihood = -28674.725
Iteration 25: (EM) log likelihood = -28660.938
Iteration 26: (EM) log likelihood = -28647.23
Iteration 27: (EM) log likelihood = -28633.884
Iteration 28: (EM) log likelihood = -28620.984
Iteration 29: (EM) log likelihood = -28608.592
Iteration 30: (EM) log likelihood = -28596.741
Iteration 31: (EM) log likelihood = -28585.486
Iteration 32: (EM) log likelihood = -28574.671
Iteration 33: (EM) log likelihood = -28564.464
Iteration 34: (EM) log likelihood = -28554.648
Iteration 35: (EM) log likelihood = -28545.22
Iteration 36: (EM) log likelihood = -28536.114
Iteration 37: (EM) log likelihood = -28527.294
Iteration 38: (EM) log likelihood = -28518.311
Iteration 39: (EM) log likelihood = -28510.082
Iteration 40: (EM) log likelihood = -28502
Iteration 41: (EM) log likelihood = -28494.121
Iteration 42: (EM) log likelihood = -28486.522
Iteration 43: (EM) log likelihood = -28479.135
Iteration 44: (EM) log likelihood = -28471.961
Iteration 45: (EM) log likelihood = -28464.062
Iteration 46: (EM) log likelihood = -28457.259
Iteration 47: (EM) log likelihood = -28450.6
Iteration 48: (EM) log likelihood = -28444.089
Iteration 49: (EM) log likelihood = -28437.785
Iteration 50: (EM) log likelihood = -28431.599
Iteration 51: (EM) log likelihood = -28425.55
Iteration 52: (EM) log likelihood = -28419.825
Iteration 53: (EM) log likelihood = -28414.142
Iteration 54: (EM) log likelihood = -28408.598
Iteration 55: (EM) log likelihood = -28403.649
Iteration 56: (EM) log likelihood = -28397.646
Iteration 57: (EM) log likelihood = -28392.564
Iteration 58: (EM) log likelihood = -28387.51
Iteration 59: (EM) log likelihood = -28382.436
Iteration 60: (EM) log likelihood = -28377.691
Iteration 61: (EM) log likelihood = -28373.023
Iteration 62: (EM) log likelihood = -28368.388
Iteration 63: (EM) log likelihood = -28363.82
Iteration 64: (EM) log likelihood = -28359.559
Iteration 65: (EM) log likelihood = -28355.313
Iteration 66: (EM) log likelihood = -28350.993
Iteration 67: (EM) log likelihood = -28346.768
Iteration 68: (EM) log likelihood = -28342.599
Iteration 69: (EM) log likelihood = -28338.599
Iteration 70: (EM) log likelihood = -28334.645
Iteration 71: (EM) log likelihood = -28330.779
Iteration 72: (EM) log likelihood = -28327.363
Iteration 73: (EM) log likelihood = -28323.746
Iteration 74: (EM) log likelihood = -28319.98
Iteration 75: (EM) log likelihood = -28316.426
Iteration 76: (EM) log likelihood = -28312.912
Iteration 77: (EM) log likelihood = -28309.554
Iteration 78: (EM) log likelihood = -28306.485
Iteration 79: (EM) log likelihood = -28303.204
Iteration 80: (EM) log likelihood = -28300.001
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4160.8273
Iteration 1: (class) log likelihood = -4160.8273
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29149.357
Iteration 1: (outcome) log likelihood = -29149.357
Refining starting values:
Iteration 0: (EM) log likelihood = -33310.3
Iteration 1: (EM) log likelihood = -33301.884
Iteration 2: (EM) log likelihood = -33266.823
Iteration 3: (EM) log likelihood = -33124.558
Iteration 4: (EM) log likelihood = -32622.151
Iteration 5: (EM) log likelihood = -31604.78
Iteration 6: (EM) log likelihood = -30657.93
Iteration 7: (EM) log likelihood = -30037.634
Iteration 8: (EM) log likelihood = -29590.202
Iteration 9: (EM) log likelihood = -29279.171
Iteration 10: (EM) log likelihood = -29097.888
Iteration 11: (EM) log likelihood = -29002.205
Iteration 12: (EM) log likelihood = -28951.095
Iteration 13: (EM) log likelihood = -28920.869
Iteration 14: (EM) log likelihood = -28900.228
Iteration 15: (EM) log likelihood = -28883.829
Iteration 16: (EM) log likelihood = -28869.691
Iteration 17: (EM) log likelihood = -28856.205
Iteration 18: (EM) log likelihood = -28843.196
Iteration 19: (EM) log likelihood = -28830.445
Iteration 20: (EM) log likelihood = -28818.232
Iteration 21: (EM) log likelihood = -28806.129
Iteration 22: (EM) log likelihood = -28794.185
Iteration 23: (EM) log likelihood = -28782.28
Iteration 24: (EM) log likelihood = -28770.507
Iteration 25: (EM) log likelihood = -28758.793
Iteration 26: (EM) log likelihood = -28747.239
Iteration 27: (EM) log likelihood = -28736.092
Iteration 28: (EM) log likelihood = -28724.975
Iteration 29: (EM) log likelihood = -28714.075
Iteration 30: (EM) log likelihood = -28703.128
Iteration 31: (EM) log likelihood = -28692.624
Iteration 32: (EM) log likelihood = -28682.041
Iteration 33: (EM) log likelihood = -28671.568
Iteration 34: (EM) log likelihood = -28661.5
Iteration 35: (EM) log likelihood = -28650.966
Iteration 36: (EM) log likelihood = -28641.136
Iteration 37: (EM) log likelihood = -28630.982
Iteration 38: (EM) log likelihood = -28621.164
Iteration 39: (EM) log likelihood = -28611.008
Iteration 40: (EM) log likelihood = -28601.296
Iteration 41: (EM) log likelihood = -28591.644
Iteration 42: (EM) log likelihood = -28582.645
Iteration 43: (EM) log likelihood = -28573.4
Iteration 44: (EM) log likelihood = -28564.194
Iteration 45: (EM) log likelihood = -28555.212
Iteration 46: (EM) log likelihood = -28546.415
Iteration 47: (EM) log likelihood = -28538.258
Iteration 48: (EM) log likelihood = -28529.507
Iteration 49: (EM) log likelihood = -28521.283
Iteration 50: (EM) log likelihood = -28513.02
Iteration 51: (EM) log likelihood = -28505.499
Iteration 52: (EM) log likelihood = -28497.568
Iteration 53: (EM) log likelihood = -28489.431
Iteration 54: (EM) log likelihood = -28482.149
Iteration 55: (EM) log likelihood = -28474.993
Iteration 56: (EM) log likelihood = -28468.018
Iteration 57: (EM) log likelihood = -28460.699
Iteration 58: (EM) log likelihood = -28454.602
Iteration 59: (EM) log likelihood = -28448.037
Iteration 60: (EM) log likelihood = -28441.723
Iteration 61: (EM) log likelihood = -28436.109
Iteration 62: (EM) log likelihood = -28430.154
Iteration 63: (EM) log likelihood = -28423.958
Iteration 64: (EM) log likelihood = -28418.192
Iteration 65: (EM) log likelihood = -28412.632
Iteration 66: (EM) log likelihood = -28407.03
Iteration 67: (EM) log likelihood = -28401.809
Iteration 68: (EM) log likelihood = -28396.274
Iteration 69: (EM) log likelihood = -28391.13
Iteration 70: (EM) log likelihood = -28386.13
Iteration 71: (EM) log likelihood = -28381.195
Iteration 72: (EM) log likelihood = -28376.054
Iteration 73: (EM) log likelihood = -28371.409
Iteration 74: (EM) log likelihood = -28366.964
Iteration 75: (EM) log likelihood = -28362.413
Iteration 76: (EM) log likelihood = -28358.013
Iteration 77: (EM) log likelihood = -28353.823
Iteration 78: (EM) log likelihood = -28349.617
Iteration 79: (EM) log likelihood = -28345.541
Iteration 80: (EM) log likelihood = -28341.668
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.7606
Iteration 1: (class) log likelihood = -4161.7606
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29156.892
Iteration 1: (outcome) log likelihood = -29156.892
Refining starting values:
Iteration 0: (EM) log likelihood = -33307.707
Iteration 1: (EM) log likelihood = -33270.575
Iteration 2: (EM) log likelihood = -33149.882
Iteration 3: (EM) log likelihood = -32822.318
Iteration 4: (EM) log likelihood = -32215.812
Iteration 5: (EM) log likelihood = -31472.314
Iteration 6: (EM) log likelihood = -30710.223
Iteration 7: (EM) log likelihood = -29979.842
Iteration 8: (EM) log likelihood = -29415.607
Iteration 9: (EM) log likelihood = -29091.962
Iteration 10: (EM) log likelihood = -28943.57
Iteration 11: (EM) log likelihood = -28887.915
Iteration 12: (EM) log likelihood = -28871.356
Iteration 13: (EM) log likelihood = -28868.618
Iteration 14: (EM) log likelihood = -28870.992
Iteration 15: (EM) log likelihood = -28873.909
Iteration 16: (EM) log likelihood = -28876.881
Iteration 17: (EM) log likelihood = -28879.761
Iteration 18: (EM) log likelihood = -28881.865
Iteration 19: (EM) log likelihood = -28883.099
Iteration 20: (EM) log likelihood = -28883.639
Iteration 21: (EM) log likelihood = -28883.689
Iteration 22: (EM) log likelihood = -28882.884
Iteration 23: (EM) log likelihood = -28881.473
Iteration 24: (EM) log likelihood = -28879.308
Iteration 25: (EM) log likelihood = -28876.475
Iteration 26: (EM) log likelihood = -28872.99
Iteration 27: (EM) log likelihood = -28868.947
Iteration 28: (EM) log likelihood = -28864.373
Iteration 29: (EM) log likelihood = -28859.024
Iteration 30: (EM) log likelihood = -28853.042
Iteration 31: (EM) log likelihood = -28846.763
Iteration 32: (EM) log likelihood = -28840.093
Iteration 33: (EM) log likelihood = -28832.784
Iteration 34: (EM) log likelihood = -28825.193
Iteration 35: (EM) log likelihood = -28817.272
Iteration 36: (EM) log likelihood = -28809.023
Iteration 37: (EM) log likelihood = -28800.536
Iteration 38: (EM) log likelihood = -28791.694
Iteration 39: (EM) log likelihood = -28782.833
Iteration 40: (EM) log likelihood = -28773.547
Iteration 41: (EM) log likelihood = -28764.251
Iteration 42: (EM) log likelihood = -28754.624
Iteration 43: (EM) log likelihood = -28745.134
Iteration 44: (EM) log likelihood = -28735.326
Iteration 45: (EM) log likelihood = -28725.607
Iteration 46: (EM) log likelihood = -28715.711
Iteration 47: (EM) log likelihood = -28706.63
Iteration 48: (EM) log likelihood = -28696.723
Iteration 49: (EM) log likelihood = -28686.787
Iteration 50: (EM) log likelihood = -28676.95
Iteration 51: (EM) log likelihood = -28667.022
Iteration 52: (EM) log likelihood = -28657.308
Iteration 53: (EM) log likelihood = -28647.872
Iteration 54: (EM) log likelihood = -28637.932
Iteration 55: (EM) log likelihood = -28627.77
Iteration 56: (EM) log likelihood = -28617.978
Iteration 57: (EM) log likelihood = -28608.336
Iteration 58: (EM) log likelihood = -28598.989
Iteration 59: (EM) log likelihood = -28589.792
Iteration 60: (EM) log likelihood = -28580.745
Iteration 61: (EM) log likelihood = -28571.741
Iteration 62: (EM) log likelihood = -28564.26
Iteration 63: (EM) log likelihood = -28555.502
Iteration 64: (EM) log likelihood = -28546.909
Iteration 65: (EM) log likelihood = -28539.479
Iteration 66: (EM) log likelihood = -28531.278
Iteration 67: (EM) log likelihood = -28522.261
Iteration 68: (EM) log likelihood = -28514.143
Iteration 69: (EM) log likelihood = -28506.338
Iteration 70: (EM) log likelihood = -28498.485
Iteration 71: (EM) log likelihood = -28490.832
Iteration 72: (EM) log likelihood = -28483.575
Iteration 73: (EM) log likelihood = -28476.509
Iteration 74: (EM) log likelihood = -28469.782
Iteration 75: (EM) log likelihood = -28462.66
Iteration 76: (EM) log likelihood = -28456.012
Iteration 77: (EM) log likelihood = -28449.424
Iteration 78: (EM) log likelihood = -28443.132
Iteration 79: (EM) log likelihood = -28437.006
Iteration 80: (EM) log likelihood = -28430.697
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.5682
Iteration 1: (class) log likelihood = -4162.5682
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29143.181
Iteration 1: (outcome) log likelihood = -29143.181
Refining starting values:
Iteration 0: (EM) log likelihood = -33267.8
Iteration 1: (EM) log likelihood = -33113.542
Iteration 2: (EM) log likelihood = -32645.436
Iteration 3: (EM) log likelihood = -31784.963
Iteration 4: (EM) log likelihood = -30905.941
Iteration 5: (EM) log likelihood = -30297.712
Iteration 6: (EM) log likelihood = -29885.563
Iteration 7: (EM) log likelihood = -29568.056
Iteration 8: (EM) log likelihood = -29333.157
Iteration 9: (EM) log likelihood = -29173.491
Iteration 10: (EM) log likelihood = -29071.123
Iteration 11: (EM) log likelihood = -29009.111
Iteration 12: (EM) log likelihood = -28973.164
Iteration 13: (EM) log likelihood = -28953.009
Iteration 14: (EM) log likelihood = -28941.12
Iteration 15: (EM) log likelihood = -28934.562
Iteration 16: (EM) log likelihood = -28930.713
Iteration 17: (EM) log likelihood = -28928.258
Iteration 18: (EM) log likelihood = -28926.744
Iteration 19: (EM) log likelihood = -28925.222
Iteration 20: (EM) log likelihood = -28923.81
Iteration 21: (EM) log likelihood = -28922.763
Iteration 22: (EM) log likelihood = -28921.149
Iteration 23: (EM) log likelihood = -28919.77
Iteration 24: (EM) log likelihood = -28918.061
Iteration 25: (EM) log likelihood = -28916.011
Iteration 26: (EM) log likelihood = -28913.242
Iteration 27: (EM) log likelihood = -28910.154
Iteration 28: (EM) log likelihood = -28906.229
Iteration 29: (EM) log likelihood = -28901.707
Iteration 30: (EM) log likelihood = -28896.348
Iteration 31: (EM) log likelihood = -28890.225
Iteration 32: (EM) log likelihood = -28882.993
Iteration 33: (EM) log likelihood = -28874.712
Iteration 34: (EM) log likelihood = -28865.198
Iteration 35: (EM) log likelihood = -28854.432
Iteration 36: (EM) log likelihood = -28841.954
Iteration 37: (EM) log likelihood = -28827.926
Iteration 38: (EM) log likelihood = -28812.38
Iteration 39: (EM) log likelihood = -28795.451
Iteration 40: (EM) log likelihood = -28777.022
Iteration 41: (EM) log likelihood = -28757.011
Iteration 42: (EM) log likelihood = -28735.883
Iteration 43: (EM) log likelihood = -28713.771
Iteration 44: (EM) log likelihood = -28690.791
Iteration 45: (EM) log likelihood = -28666.973
Iteration 46: (EM) log likelihood = -28642.665
Iteration 47: (EM) log likelihood = -28617.748
Iteration 48: (EM) log likelihood = -28592.433
Iteration 49: (EM) log likelihood = -28566.956
Iteration 50: (EM) log likelihood = -28540.45
Iteration 51: (EM) log likelihood = -28515.421
Iteration 52: (EM) log likelihood = -28491.072
Iteration 53: (EM) log likelihood = -28466.552
Iteration 54: (EM) log likelihood = -28442.547
Iteration 55: (EM) log likelihood = -28418.964
Iteration 56: (EM) log likelihood = -28388.105
Iteration 57: (EM) log likelihood = -28366.28
Iteration 58: (EM) log likelihood = -28345.126
Iteration 59: (EM) log likelihood = -28324.826
Iteration 60: (EM) log likelihood = -28305.891
Iteration 61: (EM) log likelihood = -28288.161
Iteration 62: (EM) log likelihood = -28271.671
Iteration 63: (EM) log likelihood = -28256.033
Iteration 64: (EM) log likelihood = -28241.645
Iteration 65: (EM) log likelihood = -28228.336
Iteration 66: (EM) log likelihood = -28216.056
Iteration 67: (EM) log likelihood = -28204.748
Iteration 68: (EM) log likelihood = -28194.513
Iteration 69: (EM) log likelihood = -28185.14
Iteration 70: (EM) log likelihood = -28176.366
Iteration 71: (EM) log likelihood = -28168.389
Iteration 72: (EM) log likelihood = -28161.074
Iteration 73: (EM) log likelihood = -28154.811
Iteration 74: (EM) log likelihood = -28148.623
Iteration 75: (EM) log likelihood = -28142.947
Iteration 76: (EM) log likelihood = -28137.876
Iteration 77: (EM) log likelihood = -28133.174
Iteration 78: (EM) log likelihood = -28128.875
Iteration 79: (EM) log likelihood = -28124.688
Iteration 80: (EM) log likelihood = -28121.759
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.3967
Iteration 1: (class) log likelihood = -4162.3967
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29148.024
Iteration 1: (outcome) log likelihood = -29148.024
Refining starting values:
Iteration 0: (EM) log likelihood = -33300.415
Iteration 1: (EM) log likelihood = -33253.05
Iteration 2: (EM) log likelihood = -33083.548
Iteration 3: (EM) log likelihood = -32608.315
Iteration 4: (EM) log likelihood = -31751.709
Iteration 5: (EM) log likelihood = -30855.531
Iteration 6: (EM) log likelihood = -30225.69
Iteration 7: (EM) log likelihood = -29789.232
Iteration 8: (EM) log likelihood = -29452.176
Iteration 9: (EM) log likelihood = -29220.092
Iteration 10: (EM) log likelihood = -29080.563
Iteration 11: (EM) log likelihood = -29003.356
Iteration 12: (EM) log likelihood = -28961.772
Iteration 13: (EM) log likelihood = -28938.641
Iteration 14: (EM) log likelihood = -28924.345
Iteration 15: (EM) log likelihood = -28914.329
Iteration 16: (EM) log likelihood = -28906.053
Iteration 17: (EM) log likelihood = -28898.516
Iteration 18: (EM) log likelihood = -28891.248
Iteration 19: (EM) log likelihood = -28883.953
Iteration 20: (EM) log likelihood = -28876.511
Iteration 21: (EM) log likelihood = -28868.626
Iteration 22: (EM) log likelihood = -28860.524
Iteration 23: (EM) log likelihood = -28852.657
Iteration 24: (EM) log likelihood = -28844.655
Iteration 25: (EM) log likelihood = -28835.583
Iteration 26: (EM) log likelihood = -28826.995
Iteration 27: (EM) log likelihood = -28817.846
Iteration 28: (EM) log likelihood = -28808.763
Iteration 29: (EM) log likelihood = -28799.773
Iteration 30: (EM) log likelihood = -28790.441
Iteration 31: (EM) log likelihood = -28781.036
Iteration 32: (EM) log likelihood = -28771.869
Iteration 33: (EM) log likelihood = -28762.267
Iteration 34: (EM) log likelihood = -28752.674
Iteration 35: (EM) log likelihood = -28743.135
Iteration 36: (EM) log likelihood = -28733.483
Iteration 37: (EM) log likelihood = -28723.803
Iteration 38: (EM) log likelihood = -28714.134
Iteration 39: (EM) log likelihood = -28704.451
Iteration 40: (EM) log likelihood = -28694.792
Iteration 41: (EM) log likelihood = -28684.829
Iteration 42: (EM) log likelihood = -28674.671
Iteration 43: (EM) log likelihood = -28665.066
Iteration 44: (EM) log likelihood = -28655.424
Iteration 45: (EM) log likelihood = -28645.791
Iteration 46: (EM) log likelihood = -28636.081
Iteration 47: (EM) log likelihood = -28626.627
Iteration 48: (EM) log likelihood = -28617.087
Iteration 49: (EM) log likelihood = -28607.661
Iteration 50: (EM) log likelihood = -28598.716
Iteration 51: (EM) log likelihood = -28589.328
Iteration 52: (EM) log likelihood = -28580.617
Iteration 53: (EM) log likelihood = -28571.634
Iteration 54: (EM) log likelihood = -28562.896
Iteration 55: (EM) log likelihood = -28554.292
Iteration 56: (EM) log likelihood = -28545.994
Iteration 57: (EM) log likelihood = -28537.729
Iteration 58: (EM) log likelihood = -28529.535
Iteration 59: (EM) log likelihood = -28521.288
Iteration 60: (EM) log likelihood = -28514.084
Iteration 61: (EM) log likelihood = -28506.237
Iteration 62: (EM) log likelihood = -28498.73
Iteration 63: (EM) log likelihood = -28491.351
Iteration 64: (EM) log likelihood = -28483.897
Iteration 65: (EM) log likelihood = -28477.012
Iteration 66: (EM) log likelihood = -28471.073
Iteration 67: (EM) log likelihood = -28464.29
Iteration 68: (EM) log likelihood = -28457.741
Iteration 69: (EM) log likelihood = -28451.327
Iteration 70: (EM) log likelihood = -28445.065
Iteration 71: (EM) log likelihood = -28438.906
Iteration 72: (EM) log likelihood = -28432.986
Iteration 73: (EM) log likelihood = -28427.101
Iteration 74: (EM) log likelihood = -28421.314
Iteration 75: (EM) log likelihood = -28415.773
Iteration 76: (EM) log likelihood = -28410.186
Iteration 77: (EM) log likelihood = -28404.86
Iteration 78: (EM) log likelihood = -28399.672
Iteration 79: (EM) log likelihood = -28394.627
Iteration 80: (EM) log likelihood = -28389.733
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.4365
Iteration 1: (class) log likelihood = -4162.4365
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29147.004
Iteration 1: (outcome) log likelihood = -29147.004
Refining starting values:
Iteration 0: (EM) log likelihood = -33300.569
Iteration 1: (EM) log likelihood = -33259.406
Iteration 2: (EM) log likelihood = -33112.526
Iteration 3: (EM) log likelihood = -32692.892
Iteration 4: (EM) log likelihood = -31937.862
Iteration 5: (EM) log likelihood = -31138.792
Iteration 6: (EM) log likelihood = -30519.943
Iteration 7: (EM) log likelihood = -30055.883
Iteration 8: (EM) log likelihood = -29678.364
Iteration 9: (EM) log likelihood = -29387.122
Iteration 10: (EM) log likelihood = -29197.826
Iteration 11: (EM) log likelihood = -29086.748
Iteration 12: (EM) log likelihood = -29022.369
Iteration 13: (EM) log likelihood = -28983.932
Iteration 14: (EM) log likelihood = -28959.943
Iteration 15: (EM) log likelihood = -28944.64
Iteration 16: (EM) log likelihood = -28933.304
Iteration 17: (EM) log likelihood = -28925.549
Iteration 18: (EM) log likelihood = -28918.979
Iteration 19: (EM) log likelihood = -28913.066
Iteration 20: (EM) log likelihood = -28907.575
Iteration 21: (EM) log likelihood = -28901.502
Iteration 22: (EM) log likelihood = -28895.061
Iteration 23: (EM) log likelihood = -28887.549
Iteration 24: (EM) log likelihood = -28879.847
Iteration 25: (EM) log likelihood = -28871.347
Iteration 26: (EM) log likelihood = -28863.073
Iteration 27: (EM) log likelihood = -28854.593
Iteration 28: (EM) log likelihood = -28844.99
Iteration 29: (EM) log likelihood = -28835.103
Iteration 30: (EM) log likelihood = -28824.593
Iteration 31: (EM) log likelihood = -28813.438
Iteration 32: (EM) log likelihood = -28803.523
Iteration 33: (EM) log likelihood = -28791.153
Iteration 34: (EM) log likelihood = -28781.137
Iteration 35: (EM) log likelihood = -28768.361
Iteration 36: (EM) log likelihood = -28758.743
Iteration 37: (EM) log likelihood = -28744.665
Iteration 38: (EM) log likelihood = -28730.434
Iteration 39: (EM) log likelihood = -28718.365
Iteration 40: (EM) log likelihood = -28706.424
Iteration 41: (EM) log likelihood = -28694.823
Iteration 42: (EM) log likelihood = -28683.021
Iteration 43: (EM) log likelihood = -28671.492
Iteration 44: (EM) log likelihood = -28659.707
Iteration 45: (EM) log likelihood = -28648.343
Iteration 46: (EM) log likelihood = -28636.714
Iteration 47: (EM) log likelihood = -28625.568
Iteration 48: (EM) log likelihood = -28613.793
Iteration 49: (EM) log likelihood = -28603.084
Iteration 50: (EM) log likelihood = -28592.39
Iteration 51: (EM) log likelihood = -28582.129
Iteration 52: (EM) log likelihood = -28572.054
Iteration 53: (EM) log likelihood = -28563.219
Iteration 54: (EM) log likelihood = -28553.684
Iteration 55: (EM) log likelihood = -28543.778
Iteration 56: (EM) log likelihood = -28534.832
Iteration 57: (EM) log likelihood = -28525.99
Iteration 58: (EM) log likelihood = -28517.647
Iteration 59: (EM) log likelihood = -28509.514
Iteration 60: (EM) log likelihood = -28501.58
Iteration 61: (EM) log likelihood = -28493.806
Iteration 62: (EM) log likelihood = -28485.933
Iteration 63: (EM) log likelihood = -28478.348
Iteration 64: (EM) log likelihood = -28471.113
Iteration 65: (EM) log likelihood = -28464.84
Iteration 66: (EM) log likelihood = -28458.617
Iteration 67: (EM) log likelihood = -28451.983
Iteration 68: (EM) log likelihood = -28446.446
Iteration 69: (EM) log likelihood = -28440.456
Iteration 70: (EM) log likelihood = -28434.621
Iteration 71: (EM) log likelihood = -28429.08
Iteration 72: (EM) log likelihood = -28423.75
Iteration 73: (EM) log likelihood = -28418.511
Iteration 74: (EM) log likelihood = -28413.468
Iteration 75: (EM) log likelihood = -28408.78
Iteration 76: (EM) log likelihood = -28404.078
Iteration 77: (EM) log likelihood = -28399.435
Iteration 78: (EM) log likelihood = -28395.044
Iteration 79: (EM) log likelihood = -28390.804
Iteration 80: (EM) log likelihood = -28386.647
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.1634
Iteration 1: (class) log likelihood = -4162.1634
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29154.798
Iteration 1: (outcome) log likelihood = -29154.798
Refining starting values:
Iteration 0: (EM) log likelihood = -33312.753
Iteration 1: (EM) log likelihood = -33290.914
Iteration 2: (EM) log likelihood = -33212.598
Iteration 3: (EM) log likelihood = -32979.827
Iteration 4: (EM) log likelihood = -32508.848
Iteration 5: (EM) log likelihood = -31885.914
Iteration 6: (EM) log likelihood = -31240.826
Iteration 7: (EM) log likelihood = -30654.874
Iteration 8: (EM) log likelihood = -30136.365
Iteration 9: (EM) log likelihood = -29670.027
Iteration 10: (EM) log likelihood = -29270.891
Iteration 11: (EM) log likelihood = -28942.634
Iteration 12: (EM) log likelihood = -28705.199
Iteration 13: (EM) log likelihood = -28569.255
Iteration 14: (EM) log likelihood = -28496.543
Iteration 15: (EM) log likelihood = -28452.215
Iteration 16: (EM) log likelihood = -28418.044
Iteration 17: (EM) log likelihood = -28384.209
Iteration 18: (EM) log likelihood = -28346.705
Iteration 19: (EM) log likelihood = -28306.465
Iteration 20: (EM) log likelihood = -28267.859
Iteration 21: (EM) log likelihood = -28236.16
Iteration 22: (EM) log likelihood = -28212.255
Iteration 23: (EM) log likelihood = -28195.863
Iteration 24: (EM) log likelihood = -28186.263
Iteration 25: (EM) log likelihood = -28180.881
Iteration 26: (EM) log likelihood = -28178.934
Iteration 27: (EM) log likelihood = -28178.381
Iteration 28: (EM) log likelihood = -28178.152
Iteration 29: (EM) log likelihood = -28177.31
Iteration 30: (EM) log likelihood = -28175.629
Iteration 31: (EM) log likelihood = -28173
Iteration 32: (EM) log likelihood = -28169.724
Iteration 33: (EM) log likelihood = -28166.201
Iteration 34: (EM) log likelihood = -28162.404
Iteration 35: (EM) log likelihood = -28158.954
Iteration 36: (EM) log likelihood = -28155.71
Iteration 37: (EM) log likelihood = -28152.78
Iteration 38: (EM) log likelihood = -28150.184
Iteration 39: (EM) log likelihood = -28147.806
Iteration 40: (EM) log likelihood = -28145.685
Iteration 41: (EM) log likelihood = -28143.812
Iteration 42: (EM) log likelihood = -28142.111
Iteration 43: (EM) log likelihood = -28140.653
Iteration 44: (EM) log likelihood = -28139.384
Iteration 45: (EM) log likelihood = -28138.24
Iteration 46: (EM) log likelihood = -28137.203
Iteration 47: (EM) log likelihood = -28136.316
Iteration 48: (EM) log likelihood = -28135.541
Iteration 49: (EM) log likelihood = -28134.892
Iteration 50: (EM) log likelihood = -28134.297
Iteration 51: (EM) log likelihood = -28133.851
Iteration 52: (EM) log likelihood = -28133.511
Iteration 53: (EM) log likelihood = -28133.282
Iteration 54: (EM) log likelihood = -28133.132
Iteration 55: (EM) log likelihood = -28133.262
Iteration 56: (EM) log likelihood = -28133.308
Iteration 57: (EM) log likelihood = -28133.488
Iteration 58: (EM) log likelihood = -28133.798
Iteration 59: (EM) log likelihood = -28134.25
Iteration 60: (EM) log likelihood = -28134.768
Iteration 61: (EM) log likelihood = -28135.413
Iteration 62: (EM) log likelihood = -28136.162
Iteration 63: (EM) log likelihood = -28136.986
Iteration 64: (EM) log likelihood = -28137.886
Iteration 65: (EM) log likelihood = -28138.832
Iteration 66: (EM) log likelihood = -28139.701
Iteration 67: (EM) log likelihood = -28140.617
Iteration 68: (EM) log likelihood = -28141.461
Iteration 69: (EM) log likelihood = -28142.228
Iteration 70: (EM) log likelihood = -28142.832
Iteration 71: (EM) log likelihood = -28143.262
Iteration 72: (EM) log likelihood = -28143.481
Iteration 73: (EM) log likelihood = -28143.43
Iteration 74: (EM) log likelihood = -28143.181
Iteration 75: (EM) log likelihood = -28142.699
Iteration 76: (EM) log likelihood = -28141.961
Iteration 77: (EM) log likelihood = -28141.027
Iteration 78: (EM) log likelihood = -28139.92
Iteration 79: (EM) log likelihood = -28138.633
Iteration 80: (EM) log likelihood = -28137.235
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.6125
Iteration 1: (class) log likelihood = -4161.6125
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29145.854
Iteration 1: (outcome) log likelihood = -29145.854
Refining starting values:
Iteration 0: (EM) log likelihood = -33303.249
Iteration 1: (EM) log likelihood = -33286.994
Iteration 2: (EM) log likelihood = -33248.925
Iteration 3: (EM) log likelihood = -33169.04
Iteration 4: (EM) log likelihood = -33015.029
Iteration 5: (EM) log likelihood = -32753.494
Iteration 6: (EM) log likelihood = -32383.916
Iteration 7: (EM) log likelihood = -31948.253
Iteration 8: (EM) log likelihood = -31492.348
Iteration 9: (EM) log likelihood = -31039.799
Iteration 10: (EM) log likelihood = -30527.853
Iteration 11: (EM) log likelihood = -29904.633
Iteration 12: (EM) log likelihood = -29323.829
Iteration 13: (EM) log likelihood = -28982.192
Iteration 14: (EM) log likelihood = -28847.207
Iteration 15: (EM) log likelihood = -28799.424
Iteration 16: (EM) log likelihood = -28783.542
Iteration 17: (EM) log likelihood = -28776.671
Iteration 18: (EM) log likelihood = -28773.718
Iteration 19: (EM) log likelihood = -28771.494
Iteration 20: (EM) log likelihood = -28770.406
Iteration 21: (EM) log likelihood = -28769.766
Iteration 22: (EM) log likelihood = -28769.13
Iteration 23: (EM) log likelihood = -28768.815
Iteration 24: (EM) log likelihood = -28769.008
Iteration 25: (EM) log likelihood = -28769.056
Iteration 26: (EM) log likelihood = -28769.431
Iteration 27: (EM) log likelihood = -28769.902
Iteration 28: (EM) log likelihood = -28770.566
Iteration 29: (EM) log likelihood = -28771.577
Iteration 30: (EM) log likelihood = -28773.014
Iteration 31: (EM) log likelihood = -28774.321
Iteration 32: (EM) log likelihood = -28775.858
Iteration 33: (EM) log likelihood = -28777.504
Iteration 34: (EM) log likelihood = -28779.379
Iteration 35: (EM) log likelihood = -28781.365
Iteration 36: (EM) log likelihood = -28783.373
Iteration 37: (EM) log likelihood = -28785.515
Iteration 38: (EM) log likelihood = -28787.632
Iteration 39: (EM) log likelihood = -28789.742
Iteration 40: (EM) log likelihood = -28791.923
Iteration 41: (EM) log likelihood = -28794.164
Iteration 42: (EM) log likelihood = -28796.343
Iteration 43: (EM) log likelihood = -28798.599
Iteration 44: (EM) log likelihood = -28800.556
Iteration 45: (EM) log likelihood = -28802.867
Iteration 46: (EM) log likelihood = -28804.836
Iteration 47: (EM) log likelihood = -28807.086
Iteration 48: (EM) log likelihood = -28808.89
Iteration 49: (EM) log likelihood = -28810.496
Iteration 50: (EM) log likelihood = -28812.498
Iteration 51: (EM) log likelihood = -28813.954
Iteration 52: (EM) log likelihood = -28815.347
Iteration 53: (EM) log likelihood = -28815.913
Iteration 54: (EM) log likelihood = -28817.393
Iteration 55: (EM) log likelihood = -28818.505
Iteration 56: (EM) log likelihood = -28818.991
Iteration 57: (EM) log likelihood = -28819.833
Iteration 58: (EM) log likelihood = -28820.517
Iteration 59: (EM) log likelihood = -28820.624
Iteration 60: (EM) log likelihood = -28820.421
Iteration 61: (EM) log likelihood = -28820.014
Iteration 62: (EM) log likelihood = -28818.98
Iteration 63: (EM) log likelihood = -28817.493
Iteration 64: (EM) log likelihood = -28815.432
Iteration 65: (EM) log likelihood = -28812.543
Iteration 66: (EM) log likelihood = -28809.169
Iteration 67: (EM) log likelihood = -28804.555
Iteration 68: (EM) log likelihood = -28799.025
Iteration 69: (EM) log likelihood = -28792.412
Iteration 70: (EM) log likelihood = -28784.883
Iteration 71: (EM) log likelihood = -28776.317
Iteration 72: (EM) log likelihood = -28766.88
Iteration 73: (EM) log likelihood = -28756.567
Iteration 74: (EM) log likelihood = -28745.685
Iteration 75: (EM) log likelihood = -28734.371
Iteration 76: (EM) log likelihood = -28722.713
Iteration 77: (EM) log likelihood = -28710.615
Iteration 78: (EM) log likelihood = -28698.784
Iteration 79: (EM) log likelihood = -28686.712
Iteration 80: (EM) log likelihood = -28674.967
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.5082
Iteration 1: (class) log likelihood = -4162.5082
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29148.819
Iteration 1: (outcome) log likelihood = -29148.819
Refining starting values:
Iteration 0: (EM) log likelihood = -33304.463
Iteration 1: (EM) log likelihood = -33281.269
Iteration 2: (EM) log likelihood = -33218.318
Iteration 3: (EM) log likelihood = -33037.383
Iteration 4: (EM) log likelihood = -32534.666
Iteration 5: (EM) log likelihood = -31591.519
Iteration 6: (EM) log likelihood = -30673.147
Iteration 7: (EM) log likelihood = -30086.639
Iteration 8: (EM) log likelihood = -29714.737
Iteration 9: (EM) log likelihood = -29475.913
Iteration 10: (EM) log likelihood = -29329.701
Iteration 11: (EM) log likelihood = -29227.409
Iteration 12: (EM) log likelihood = -29141.056
Iteration 13: (EM) log likelihood = -29061.31
Iteration 14: (EM) log likelihood = -28988.429
Iteration 15: (EM) log likelihood = -28929.555
Iteration 16: (EM) log likelihood = -28884.248
Iteration 17: (EM) log likelihood = -28852.282
Iteration 18: (EM) log likelihood = -28830.18
Iteration 19: (EM) log likelihood = -28815.002
Iteration 20: (EM) log likelihood = -28805.248
Iteration 21: (EM) log likelihood = -28798.35
Iteration 22: (EM) log likelihood = -28794.11
Iteration 23: (EM) log likelihood = -28791.128
Iteration 24: (EM) log likelihood = -28790.349
Iteration 25: (EM) log likelihood = -28788.877
Iteration 26: (EM) log likelihood = -28788.244
Iteration 27: (EM) log likelihood = -28788.524
Iteration 28: (EM) log likelihood = -28789.441
Iteration 29: (EM) log likelihood = -28789.76
Iteration 30: (EM) log likelihood = -28790.42
Iteration 31: (EM) log likelihood = -28790.757
Iteration 32: (EM) log likelihood = -28791.673
Iteration 33: (EM) log likelihood = -28792.377
Iteration 34: (EM) log likelihood = -28793.263
Iteration 35: (EM) log likelihood = -28794.215
Iteration 36: (EM) log likelihood = -28794.654
Iteration 37: (EM) log likelihood = -28795.213
Iteration 38: (EM) log likelihood = -28795.908
Iteration 39: (EM) log likelihood = -28796.661
Iteration 40: (EM) log likelihood = -28797.498
Iteration 41: (EM) log likelihood = -28798.317
Iteration 42: (EM) log likelihood = -28799.002
Iteration 43: (EM) log likelihood = -28799.742
Iteration 44: (EM) log likelihood = -28800.462
Iteration 45: (EM) log likelihood = -28801.219
Iteration 46: (EM) log likelihood = -28801.881
Iteration 47: (EM) log likelihood = -28802.842
Iteration 48: (EM) log likelihood = -28803.75
Iteration 49: (EM) log likelihood = -28804.365
Iteration 50: (EM) log likelihood = -28805.108
Iteration 51: (EM) log likelihood = -28806.019
Iteration 52: (EM) log likelihood = -28806.808
Iteration 53: (EM) log likelihood = -28807.688
Iteration 54: (EM) log likelihood = -28808.483
Iteration 55: (EM) log likelihood = -28809.357
Iteration 56: (EM) log likelihood = -28810.336
Iteration 57: (EM) log likelihood = -28811.303
Iteration 58: (EM) log likelihood = -28812.144
Iteration 59: (EM) log likelihood = -28812.992
Iteration 60: (EM) log likelihood = -28813.996
Iteration 61: (EM) log likelihood = -28814.966
Iteration 62: (EM) log likelihood = -28815.91
Iteration 63: (EM) log likelihood = -28816.738
Iteration 64: (EM) log likelihood = -28817.555
Iteration 65: (EM) log likelihood = -28818.567
Iteration 66: (EM) log likelihood = -28819.496
Iteration 67: (EM) log likelihood = -28820.368
Iteration 68: (EM) log likelihood = -28821.159
Iteration 69: (EM) log likelihood = -28821.948
Iteration 70: (EM) log likelihood = -28822.705
Iteration 71: (EM) log likelihood = -28823.469
Iteration 72: (EM) log likelihood = -28824.195
Iteration 73: (EM) log likelihood = -28824.986
Iteration 74: (EM) log likelihood = -28825.719
Iteration 75: (EM) log likelihood = -28826.239
Iteration 76: (EM) log likelihood = -28826.774
Iteration 77: (EM) log likelihood = -28827.276
Iteration 78: (EM) log likelihood = -28827.741
Iteration 79: (EM) log likelihood = -28828.085
Iteration 80: (EM) log likelihood = -28828.318
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.6198
Iteration 1: (class) log likelihood = -4162.6198
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29151.572
Iteration 1: (outcome) log likelihood = -29151.572
Refining starting values:
Iteration 0: (EM) log likelihood = -33306.21
Iteration 1: (EM) log likelihood = -33281.226
Iteration 2: (EM) log likelihood = -33209.31
Iteration 3: (EM) log likelihood = -33001.758
Iteration 4: (EM) log likelihood = -32477.716
Iteration 5: (EM) log likelihood = -31581.805
Iteration 6: (EM) log likelihood = -30708.716
Iteration 7: (EM) log likelihood = -30075.639
Iteration 8: (EM) log likelihood = -29613.867
Iteration 9: (EM) log likelihood = -29289.29
Iteration 10: (EM) log likelihood = -29100.312
Iteration 11: (EM) log likelihood = -29006.093
Iteration 12: (EM) log likelihood = -28960.156
Iteration 13: (EM) log likelihood = -28935.225
Iteration 14: (EM) log likelihood = -28918.972
Iteration 15: (EM) log likelihood = -28906.481
Iteration 16: (EM) log likelihood = -28895.244
Iteration 17: (EM) log likelihood = -28884.547
Iteration 18: (EM) log likelihood = -28873.917
Iteration 19: (EM) log likelihood = -28863.172
Iteration 20: (EM) log likelihood = -28851.976
Iteration 21: (EM) log likelihood = -28841.207
Iteration 22: (EM) log likelihood = -28829.675
Iteration 23: (EM) log likelihood = -28818.114
Iteration 24: (EM) log likelihood = -28807.261
Iteration 25: (EM) log likelihood = -28796.061
Iteration 26: (EM) log likelihood = -28784.479
Iteration 27: (EM) log likelihood = -28773.446
Iteration 28: (EM) log likelihood = -28762.705
Iteration 29: (EM) log likelihood = -28752.049
Iteration 30: (EM) log likelihood = -28740.624
Iteration 31: (EM) log likelihood = -28729.378
Iteration 32: (EM) log likelihood = -28718.798
Iteration 33: (EM) log likelihood = -28708.125
Iteration 34: (EM) log likelihood = -28697.683
Iteration 35: (EM) log likelihood = -28687.154
Iteration 36: (EM) log likelihood = -28677.099
Iteration 37: (EM) log likelihood = -28666.388
Iteration 38: (EM) log likelihood = -28656.343
Iteration 39: (EM) log likelihood = -28646.338
Iteration 40: (EM) log likelihood = -28636.257
Iteration 41: (EM) log likelihood = -28626.264
Iteration 42: (EM) log likelihood = -28616.441
Iteration 43: (EM) log likelihood = -28606.76
Iteration 44: (EM) log likelihood = -28597.06
Iteration 45: (EM) log likelihood = -28587.637
Iteration 46: (EM) log likelihood = -28578.384
Iteration 47: (EM) log likelihood = -28569.244
Iteration 48: (EM) log likelihood = -28560.227
Iteration 49: (EM) log likelihood = -28551.389
Iteration 50: (EM) log likelihood = -28542.419
Iteration 51: (EM) log likelihood = -28533.763
Iteration 52: (EM) log likelihood = -28525.271
Iteration 53: (EM) log likelihood = -28516.872
Iteration 54: (EM) log likelihood = -28508.937
Iteration 55: (EM) log likelihood = -28500.901
Iteration 56: (EM) log likelihood = -28492.79
Iteration 57: (EM) log likelihood = -28485.19
Iteration 58: (EM) log likelihood = -28477.842
Iteration 59: (EM) log likelihood = -28470.706
Iteration 60: (EM) log likelihood = -28463.733
Iteration 61: (EM) log likelihood = -28456.924
Iteration 62: (EM) log likelihood = -28450.342
Iteration 63: (EM) log likelihood = -28443.877
Iteration 64: (EM) log likelihood = -28437.349
Iteration 65: (EM) log likelihood = -28431.26
Iteration 66: (EM) log likelihood = -28425.248
Iteration 67: (EM) log likelihood = -28419.202
Iteration 68: (EM) log likelihood = -28413.706
Iteration 69: (EM) log likelihood = -28408.016
Iteration 70: (EM) log likelihood = -28402.414
Iteration 71: (EM) log likelihood = -28396.891
Iteration 72: (EM) log likelihood = -28391.825
Iteration 73: (EM) log likelihood = -28386.852
Iteration 74: (EM) log likelihood = -28381.981
Iteration 75: (EM) log likelihood = -28377.241
Iteration 76: (EM) log likelihood = -28372.663
Iteration 77: (EM) log likelihood = -28368.026
Iteration 78: (EM) log likelihood = -28363.534
Iteration 79: (EM) log likelihood = -28359.088
Iteration 80: (EM) log likelihood = -28354.757
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.0638
Iteration 1: (class) log likelihood = -4162.0638
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29153.133
Iteration 1: (outcome) log likelihood = -29153.133
Refining starting values:
Iteration 0: (EM) log likelihood = -33296.061
Iteration 1: (EM) log likelihood = -33215.213
Iteration 2: (EM) log likelihood = -32913.278
Iteration 3: (EM) log likelihood = -32147.314
Iteration 4: (EM) log likelihood = -31196.995
Iteration 5: (EM) log likelihood = -30510.086
Iteration 6: (EM) log likelihood = -30015.313
Iteration 7: (EM) log likelihood = -29604.95
Iteration 8: (EM) log likelihood = -29295.748
Iteration 9: (EM) log likelihood = -29103.398
Iteration 10: (EM) log likelihood = -28997.996
Iteration 11: (EM) log likelihood = -28942.618
Iteration 12: (EM) log likelihood = -28912.395
Iteration 13: (EM) log likelihood = -28894.218
Iteration 14: (EM) log likelihood = -28882.537
Iteration 15: (EM) log likelihood = -28873.108
Iteration 16: (EM) log likelihood = -28864.519
Iteration 17: (EM) log likelihood = -28856.179
Iteration 18: (EM) log likelihood = -28847.821
Iteration 19: (EM) log likelihood = -28839.168
Iteration 20: (EM) log likelihood = -28829.876
Iteration 21: (EM) log likelihood = -28820.156
Iteration 22: (EM) log likelihood = -28809.938
Iteration 23: (EM) log likelihood = -28799.156
Iteration 24: (EM) log likelihood = -28788.113
Iteration 25: (EM) log likelihood = -28776.695
Iteration 26: (EM) log likelihood = -28765.079
Iteration 27: (EM) log likelihood = -28753.481
Iteration 28: (EM) log likelihood = -28741.847
Iteration 29: (EM) log likelihood = -28730.303
Iteration 30: (EM) log likelihood = -28718.846
Iteration 31: (EM) log likelihood = -28708.791
Iteration 32: (EM) log likelihood = -28697.45
Iteration 33: (EM) log likelihood = -28686.322
Iteration 34: (EM) log likelihood = -28675.388
Iteration 35: (EM) log likelihood = -28664.702
Iteration 36: (EM) log likelihood = -28653.713
Iteration 37: (EM) log likelihood = -28643.118
Iteration 38: (EM) log likelihood = -28633.048
Iteration 39: (EM) log likelihood = -28623.028
Iteration 40: (EM) log likelihood = -28613.324
Iteration 41: (EM) log likelihood = -28603.632
Iteration 42: (EM) log likelihood = -28594.072
Iteration 43: (EM) log likelihood = -28584.491
Iteration 44: (EM) log likelihood = -28575.193
Iteration 45: (EM) log likelihood = -28566.919
Iteration 46: (EM) log likelihood = -28558.134
Iteration 47: (EM) log likelihood = -28549.377
Iteration 48: (EM) log likelihood = -28540.779
Iteration 49: (EM) log likelihood = -28532.026
Iteration 50: (EM) log likelihood = -28523.836
Iteration 51: (EM) log likelihood = -28516.185
Iteration 52: (EM) log likelihood = -28508.154
Iteration 53: (EM) log likelihood = -28499.92
Iteration 54: (EM) log likelihood = -28492.506
Iteration 55: (EM) log likelihood = -28485.13
Iteration 56: (EM) log likelihood = -28477.952
Iteration 57: (EM) log likelihood = -28470.951
Iteration 58: (EM) log likelihood = -28463.749
Iteration 59: (EM) log likelihood = -28457.283
Iteration 60: (EM) log likelihood = -28450.872
Iteration 61: (EM) log likelihood = -28444.484
Iteration 62: (EM) log likelihood = -28438.411
Iteration 63: (EM) log likelihood = -28432.104
Iteration 64: (EM) log likelihood = -28425.709
Iteration 65: (EM) log likelihood = -28419.972
Iteration 66: (EM) log likelihood = -28414.219
Iteration 67: (EM) log likelihood = -28408.633
Iteration 68: (EM) log likelihood = -28403.773
Iteration 69: (EM) log likelihood = -28398.792
Iteration 70: (EM) log likelihood = -28393.703
Iteration 71: (EM) log likelihood = -28388.657
Iteration 72: (EM) log likelihood = -28383.746
Iteration 73: (EM) log likelihood = -28378.961
Iteration 74: (EM) log likelihood = -28373.642
Iteration 75: (EM) log likelihood = -28369.009
Iteration 76: (EM) log likelihood = -28364.528
Iteration 77: (EM) log likelihood = -28360.248
Iteration 78: (EM) log likelihood = -28356.218
Iteration 79: (EM) log likelihood = -28352.085
Iteration 80: (EM) log likelihood = -28347.678
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.1054
Iteration 1: (class) log likelihood = -4162.1054
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29154.002
Iteration 1: (outcome) log likelihood = -29154.002 (backed up)
Refining starting values:
Iteration 0: (EM) log likelihood = -33310.637
Iteration 1: (EM) log likelihood = -33289.921
Iteration 2: (EM) log likelihood = -33217.206
Iteration 3: (EM) log likelihood = -32959.265
Iteration 4: (EM) log likelihood = -32281.398
Iteration 5: (EM) log likelihood = -31368.541
Iteration 6: (EM) log likelihood = -30689.558
Iteration 7: (EM) log likelihood = -30220.878
Iteration 8: (EM) log likelihood = -29838.69
Iteration 9: (EM) log likelihood = -29536.498
Iteration 10: (EM) log likelihood = -29322.315
Iteration 11: (EM) log likelihood = -29181.613
Iteration 12: (EM) log likelihood = -29091.651
Iteration 13: (EM) log likelihood = -29033.042
Iteration 14: (EM) log likelihood = -28992.617
Iteration 15: (EM) log likelihood = -28962.402
Iteration 16: (EM) log likelihood = -28938.353
Iteration 17: (EM) log likelihood = -28918.311
Iteration 18: (EM) log likelihood = -28901.311
Iteration 19: (EM) log likelihood = -28886.026
Iteration 20: (EM) log likelihood = -28872.217
Iteration 21: (EM) log likelihood = -28859.584
Iteration 22: (EM) log likelihood = -28847.156
Iteration 23: (EM) log likelihood = -28835.164
Iteration 24: (EM) log likelihood = -28823.405
Iteration 25: (EM) log likelihood = -28811.867
Iteration 26: (EM) log likelihood = -28800.659
Iteration 27: (EM) log likelihood = -28789.24
Iteration 28: (EM) log likelihood = -28778.064
Iteration 29: (EM) log likelihood = -28767.439
Iteration 30: (EM) log likelihood = -28756.824
Iteration 31: (EM) log likelihood = -28746.367
Iteration 32: (EM) log likelihood = -28735.922
Iteration 33: (EM) log likelihood = -28725.547
Iteration 34: (EM) log likelihood = -28715.46
Iteration 35: (EM) log likelihood = -28705.556
Iteration 36: (EM) log likelihood = -28695.448
Iteration 37: (EM) log likelihood = -28685.34
Iteration 38: (EM) log likelihood = -28675.476
Iteration 39: (EM) log likelihood = -28665.595
Iteration 40: (EM) log likelihood = -28655.858
Iteration 41: (EM) log likelihood = -28646.202
Iteration 42: (EM) log likelihood = -28636.417
Iteration 43: (EM) log likelihood = -28626.835
Iteration 44: (EM) log likelihood = -28617.48
Iteration 45: (EM) log likelihood = -28608.047
Iteration 46: (EM) log likelihood = -28598.709
Iteration 47: (EM) log likelihood = -28589.677
Iteration 48: (EM) log likelihood = -28579.872
Iteration 49: (EM) log likelihood = -28571.882
Iteration 50: (EM) log likelihood = -28562.857
Iteration 51: (EM) log likelihood = -28554.062
Iteration 52: (EM) log likelihood = -28545.417
Iteration 53: (EM) log likelihood = -28536.752
Iteration 54: (EM) log likelihood = -28528.36
Iteration 55: (EM) log likelihood = -28520.246
Iteration 56: (EM) log likelihood = -28511.863
Iteration 57: (EM) log likelihood = -28504.277
Iteration 58: (EM) log likelihood = -28496.947
Iteration 59: (EM) log likelihood = -28489.504
Iteration 60: (EM) log likelihood = -28482.177
Iteration 61: (EM) log likelihood = -28475.153
Iteration 62: (EM) log likelihood = -28468.169
Iteration 63: (EM) log likelihood = -28462.019
Iteration 64: (EM) log likelihood = -28455.338
Iteration 65: (EM) log likelihood = -28448.76
Iteration 66: (EM) log likelihood = -28442.643
Iteration 67: (EM) log likelihood = -28436.411
Iteration 68: (EM) log likelihood = -28430.346
Iteration 69: (EM) log likelihood = -28424.452
Iteration 70: (EM) log likelihood = -28418.522
Iteration 71: (EM) log likelihood = -28413.103
Iteration 72: (EM) log likelihood = -28407.65
Iteration 73: (EM) log likelihood = -28402.187
Iteration 74: (EM) log likelihood = -28396.995
Iteration 75: (EM) log likelihood = -28391.869
Iteration 76: (EM) log likelihood = -28386.901
Iteration 77: (EM) log likelihood = -28382.073
Iteration 78: (EM) log likelihood = -28376.965
Iteration 79: (EM) log likelihood = -28372.447
Iteration 80: (EM) log likelihood = -28367.322
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.191
Iteration 1: (class) log likelihood = -4161.191
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29147.382
Iteration 1: (outcome) log likelihood = -29147.382
Refining starting values:
Iteration 0: (EM) log likelihood = -33269.304
Iteration 1: (EM) log likelihood = -33095.302
Iteration 2: (EM) log likelihood = -32523.664
Iteration 3: (EM) log likelihood = -31552.753
Iteration 4: (EM) log likelihood = -30781.574
Iteration 5: (EM) log likelihood = -30343.991
Iteration 6: (EM) log likelihood = -30078.791
Iteration 7: (EM) log likelihood = -29915.104
Iteration 8: (EM) log likelihood = -29824.717
Iteration 9: (EM) log likelihood = -29771.775
Iteration 10: (EM) log likelihood = -29732.044
Iteration 11: (EM) log likelihood = -29694.137
Iteration 12: (EM) log likelihood = -29653.35
Iteration 13: (EM) log likelihood = -29609
Iteration 14: (EM) log likelihood = -29558.549
Iteration 15: (EM) log likelihood = -29503.402
Iteration 16: (EM) log likelihood = -29442.826
Iteration 17: (EM) log likelihood = -29377.631
Iteration 18: (EM) log likelihood = -29313.931
Iteration 19: (EM) log likelihood = -29252.771
Iteration 20: (EM) log likelihood = -29198.276
Iteration 21: (EM) log likelihood = -29149.561
Iteration 22: (EM) log likelihood = -29107.696
Iteration 23: (EM) log likelihood = -29072.61
Iteration 24: (EM) log likelihood = -29043.647
Iteration 25: (EM) log likelihood = -29021.132
Iteration 26: (EM) log likelihood = -29003.388
Iteration 27: (EM) log likelihood = -28989.004
Iteration 28: (EM) log likelihood = -28977.889
Iteration 29: (EM) log likelihood = -28967.348
Iteration 30: (EM) log likelihood = -28957.246
Iteration 31: (EM) log likelihood = -28946.423
Iteration 32: (EM) log likelihood = -28936.462
Iteration 33: (EM) log likelihood = -28923.98
Iteration 34: (EM) log likelihood = -28911.377
Iteration 35: (EM) log likelihood = -28898.026
Iteration 36: (EM) log likelihood = -28884.511
Iteration 37: (EM) log likelihood = -28869.876
Iteration 38: (EM) log likelihood = -28855.891
Iteration 39: (EM) log likelihood = -28841.25
Iteration 40: (EM) log likelihood = -28827.131
Iteration 41: (EM) log likelihood = -28812.727
Iteration 42: (EM) log likelihood = -28798.928
Iteration 43: (EM) log likelihood = -28785.277
Iteration 44: (EM) log likelihood = -28771.842
Iteration 45: (EM) log likelihood = -28758.531
Iteration 46: (EM) log likelihood = -28745.983
Iteration 47: (EM) log likelihood = -28733.116
Iteration 48: (EM) log likelihood = -28720.736
Iteration 49: (EM) log likelihood = -28708.416
Iteration 50: (EM) log likelihood = -28696.6
Iteration 51: (EM) log likelihood = -28685.155
Iteration 52: (EM) log likelihood = -28673.408
Iteration 53: (EM) log likelihood = -28661.994
Iteration 54: (EM) log likelihood = -28651.485
Iteration 55: (EM) log likelihood = -28640.962
Iteration 56: (EM) log likelihood = -28630.712
Iteration 57: (EM) log likelihood = -28620.693
Iteration 58: (EM) log likelihood = -28610.858
Iteration 59: (EM) log likelihood = -28601.404
Iteration 60: (EM) log likelihood = -28592.134
Iteration 61: (EM) log likelihood = -28583.144
Iteration 62: (EM) log likelihood = -28574.376
Iteration 63: (EM) log likelihood = -28565.893
Iteration 64: (EM) log likelihood = -28557.527
Iteration 65: (EM) log likelihood = -28549.369
Iteration 66: (EM) log likelihood = -28541.543
Iteration 67: (EM) log likelihood = -28533.807
Iteration 68: (EM) log likelihood = -28526.451
Iteration 69: (EM) log likelihood = -28519.134
Iteration 70: (EM) log likelihood = -28512.002
Iteration 71: (EM) log likelihood = -28505.054
Iteration 72: (EM) log likelihood = -28497.886
Iteration 73: (EM) log likelihood = -28491.421
Iteration 74: (EM) log likelihood = -28485.181
Iteration 75: (EM) log likelihood = -28479.352
Iteration 76: (EM) log likelihood = -28473.108
Iteration 77: (EM) log likelihood = -28467.464
Iteration 78: (EM) log likelihood = -28462.011
Iteration 79: (EM) log likelihood = -28456.536
Iteration 80: (EM) log likelihood = -28451.665
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.5603
Iteration 1: (class) log likelihood = -4162.5603
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29154.863
Iteration 1: (outcome) log likelihood = -29154.863
Refining starting values:
Iteration 0: (EM) log likelihood = -33306.769
Iteration 1: (EM) log likelihood = -33269.919
Iteration 2: (EM) log likelihood = -33139.029
Iteration 3: (EM) log likelihood = -32711.1
Iteration 4: (EM) log likelihood = -31840.25
Iteration 5: (EM) log likelihood = -30969.263
Iteration 6: (EM) log likelihood = -30405.196
Iteration 7: (EM) log likelihood = -30048.29
Iteration 8: (EM) log likelihood = -29798.247
Iteration 9: (EM) log likelihood = -29627.508
Iteration 10: (EM) log likelihood = -29502.915
Iteration 11: (EM) log likelihood = -29397.197
Iteration 12: (EM) log likelihood = -29301.958
Iteration 13: (EM) log likelihood = -29217.231
Iteration 14: (EM) log likelihood = -29143.683
Iteration 15: (EM) log likelihood = -29081.098
Iteration 16: (EM) log likelihood = -29029.758
Iteration 17: (EM) log likelihood = -28989.063
Iteration 18: (EM) log likelihood = -28957.836
Iteration 19: (EM) log likelihood = -28933.972
Iteration 20: (EM) log likelihood = -28916.249
Iteration 21: (EM) log likelihood = -28902.247
Iteration 22: (EM) log likelihood = -28890.294
Iteration 23: (EM) log likelihood = -28879.728
Iteration 24: (EM) log likelihood = -28870.806
Iteration 25: (EM) log likelihood = -28862.348
Iteration 26: (EM) log likelihood = -28854.265
Iteration 27: (EM) log likelihood = -28846.206
Iteration 28: (EM) log likelihood = -28837.963
Iteration 29: (EM) log likelihood = -28829.39
Iteration 30: (EM) log likelihood = -28820.335
Iteration 31: (EM) log likelihood = -28810.768
Iteration 32: (EM) log likelihood = -28800.736
Iteration 33: (EM) log likelihood = -28790.181
Iteration 34: (EM) log likelihood = -28779.335
Iteration 35: (EM) log likelihood = -28768.238
Iteration 36: (EM) log likelihood = -28757.015
Iteration 37: (EM) log likelihood = -28745.767
Iteration 38: (EM) log likelihood = -28734.411
Iteration 39: (EM) log likelihood = -28723.099
Iteration 40: (EM) log likelihood = -28711.841
Iteration 41: (EM) log likelihood = -28700.728
Iteration 42: (EM) log likelihood = -28689.815
Iteration 43: (EM) log likelihood = -28679.018
Iteration 44: (EM) log likelihood = -28668.835
Iteration 45: (EM) log likelihood = -28658.285
Iteration 46: (EM) log likelihood = -28647.486
Iteration 47: (EM) log likelihood = -28637.081
Iteration 48: (EM) log likelihood = -28627.163
Iteration 49: (EM) log likelihood = -28617.238
Iteration 50: (EM) log likelihood = -28607.466
Iteration 51: (EM) log likelihood = -28597.559
Iteration 52: (EM) log likelihood = -28588.022
Iteration 53: (EM) log likelihood = -28577.393
Iteration 54: (EM) log likelihood = -28568.308
Iteration 55: (EM) log likelihood = -28559.985
Iteration 56: (EM) log likelihood = -28551.097
Iteration 57: (EM) log likelihood = -28542.329
Iteration 58: (EM) log likelihood = -28533.74
Iteration 59: (EM) log likelihood = -28525.355
Iteration 60: (EM) log likelihood = -28517.079
Iteration 61: (EM) log likelihood = -28509.143
Iteration 62: (EM) log likelihood = -28501.348
Iteration 63: (EM) log likelihood = -28493.906
Iteration 64: (EM) log likelihood = -28485.882
Iteration 65: (EM) log likelihood = -28478.621
Iteration 66: (EM) log likelihood = -28471.473
Iteration 67: (EM) log likelihood = -28464.602
Iteration 68: (EM) log likelihood = -28457.822
Iteration 69: (EM) log likelihood = -28451.252
Iteration 70: (EM) log likelihood = -28445.068
Iteration 71: (EM) log likelihood = -28438.47
Iteration 72: (EM) log likelihood = -28431.833
Iteration 73: (EM) log likelihood = -28425.575
Iteration 74: (EM) log likelihood = -28419.634
Iteration 75: (EM) log likelihood = -28413.89
Iteration 76: (EM) log likelihood = -28408.178
Iteration 77: (EM) log likelihood = -28402.952
Iteration 78: (EM) log likelihood = -28397.741
Iteration 79: (EM) log likelihood = -28392.602
Iteration 80: (EM) log likelihood = -28387.487
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.2211
Iteration 1: (class) log likelihood = -4162.2211
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29153.571
Iteration 1: (outcome) log likelihood = -29153.571
Refining starting values:
Iteration 0: (EM) log likelihood = -33308.843
Iteration 1: (EM) log likelihood = -33271.346
Iteration 2: (EM) log likelihood = -33119.636
Iteration 3: (EM) log likelihood = -32634.948
Iteration 4: (EM) log likelihood = -31755.771
Iteration 5: (EM) log likelihood = -30951.504
Iteration 6: (EM) log likelihood = -30415.078
Iteration 7: (EM) log likelihood = -30003.049
Iteration 8: (EM) log likelihood = -29644.176
Iteration 9: (EM) log likelihood = -29359.311
Iteration 10: (EM) log likelihood = -29163.154
Iteration 11: (EM) log likelihood = -29041.009
Iteration 12: (EM) log likelihood = -28968.402
Iteration 13: (EM) log likelihood = -28924.655
Iteration 14: (EM) log likelihood = -28896.673
Iteration 15: (EM) log likelihood = -28877.235
Iteration 16: (EM) log likelihood = -28861.784
Iteration 17: (EM) log likelihood = -28848.455
Iteration 18: (EM) log likelihood = -28836.802
Iteration 19: (EM) log likelihood = -28825.802
Iteration 20: (EM) log likelihood = -28814.954
Iteration 21: (EM) log likelihood = -28804.493
Iteration 22: (EM) log likelihood = -28794.338
Iteration 23: (EM) log likelihood = -28783.998
Iteration 24: (EM) log likelihood = -28773.794
Iteration 25: (EM) log likelihood = -28763.647
Iteration 26: (EM) log likelihood = -28753.303
Iteration 27: (EM) log likelihood = -28743.008
Iteration 28: (EM) log likelihood = -28732.683
Iteration 29: (EM) log likelihood = -28722.698
Iteration 30: (EM) log likelihood = -28712.744
Iteration 31: (EM) log likelihood = -28702.281
Iteration 32: (EM) log likelihood = -28692.594
Iteration 33: (EM) log likelihood = -28682.713
Iteration 34: (EM) log likelihood = -28672.912
Iteration 35: (EM) log likelihood = -28662.606
Iteration 36: (EM) log likelihood = -28653.287
Iteration 37: (EM) log likelihood = -28643.434
Iteration 38: (EM) log likelihood = -28633.706
Iteration 39: (EM) log likelihood = -28624.079
Iteration 40: (EM) log likelihood = -28614.249
Iteration 41: (EM) log likelihood = -28604.681
Iteration 42: (EM) log likelihood = -28595.32
Iteration 43: (EM) log likelihood = -28586.17
Iteration 44: (EM) log likelihood = -28577.147
Iteration 45: (EM) log likelihood = -28568.323
Iteration 46: (EM) log likelihood = -28559.531
Iteration 47: (EM) log likelihood = -28550.978
Iteration 48: (EM) log likelihood = -28541.892
Iteration 49: (EM) log likelihood = -28533.536
Iteration 50: (EM) log likelihood = -28525.352
Iteration 51: (EM) log likelihood = -28517.131
Iteration 52: (EM) log likelihood = -28509.357
Iteration 53: (EM) log likelihood = -28501.686
Iteration 54: (EM) log likelihood = -28494.119
Iteration 55: (EM) log likelihood = -28486.742
Iteration 56: (EM) log likelihood = -28479.571
Iteration 57: (EM) log likelihood = -28472.339
Iteration 58: (EM) log likelihood = -28465.841
Iteration 59: (EM) log likelihood = -28459.134
Iteration 60: (EM) log likelihood = -28452.57
Iteration 61: (EM) log likelihood = -28446.247
Iteration 62: (EM) log likelihood = -28440.013
Iteration 63: (EM) log likelihood = -28433.364
Iteration 64: (EM) log likelihood = -28427.886
Iteration 65: (EM) log likelihood = -28421.715
Iteration 66: (EM) log likelihood = -28416.044
Iteration 67: (EM) log likelihood = -28410.509
Iteration 68: (EM) log likelihood = -28405.087
Iteration 69: (EM) log likelihood = -28399.895
Iteration 70: (EM) log likelihood = -28394.684
Iteration 71: (EM) log likelihood = -28389.752
Iteration 72: (EM) log likelihood = -28384.91
Iteration 73: (EM) log likelihood = -28380.185
Iteration 74: (EM) log likelihood = -28375.032
Iteration 75: (EM) log likelihood = -28370.716
Iteration 76: (EM) log likelihood = -28366.207
Iteration 77: (EM) log likelihood = -28361.523
Iteration 78: (EM) log likelihood = -28357.402
Iteration 79: (EM) log likelihood = -28353.175
Iteration 80: (EM) log likelihood = -28349.348
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.4971
Iteration 1: (class) log likelihood = -4162.4971
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29149.545
Iteration 1: (outcome) log likelihood = -29149.545
Refining starting values:
Iteration 0: (EM) log likelihood = -33282.258
Iteration 1: (EM) log likelihood = -33168.306
Iteration 2: (EM) log likelihood = -32823.522
Iteration 3: (EM) log likelihood = -32137.468
Iteration 4: (EM) log likelihood = -31261.621
Iteration 5: (EM) log likelihood = -30457.464
Iteration 6: (EM) log likelihood = -29850.085
Iteration 7: (EM) log likelihood = -29420.39
Iteration 8: (EM) log likelihood = -29155.758
Iteration 9: (EM) log likelihood = -29019.755
Iteration 10: (EM) log likelihood = -28953.255
Iteration 11: (EM) log likelihood = -28921.283
Iteration 12: (EM) log likelihood = -28906.824
Iteration 13: (EM) log likelihood = -28901.556
Iteration 14: (EM) log likelihood = -28900.31
Iteration 15: (EM) log likelihood = -28900.133
Iteration 16: (EM) log likelihood = -28900.628
Iteration 17: (EM) log likelihood = -28900.845
Iteration 18: (EM) log likelihood = -28900.993
Iteration 19: (EM) log likelihood = -28900.333
Iteration 20: (EM) log likelihood = -28898.856
Iteration 21: (EM) log likelihood = -28896.268
Iteration 22: (EM) log likelihood = -28893.044
Iteration 23: (EM) log likelihood = -28889.696
Iteration 24: (EM) log likelihood = -28884.833
Iteration 25: (EM) log likelihood = -28879.193
Iteration 26: (EM) log likelihood = -28872.395
Iteration 27: (EM) log likelihood = -28865.284
Iteration 28: (EM) log likelihood = -28857.609
Iteration 29: (EM) log likelihood = -28849.256
Iteration 30: (EM) log likelihood = -28840.373
Iteration 31: (EM) log likelihood = -28831.428
Iteration 32: (EM) log likelihood = -28822.158
Iteration 33: (EM) log likelihood = -28812.684
Iteration 34: (EM) log likelihood = -28802.955
Iteration 35: (EM) log likelihood = -28792.881
Iteration 36: (EM) log likelihood = -28783.135
Iteration 37: (EM) log likelihood = -28773.01
Iteration 38: (EM) log likelihood = -28763.048
Iteration 39: (EM) log likelihood = -28752.716
Iteration 40: (EM) log likelihood = -28742.269
Iteration 41: (EM) log likelihood = -28731.983
Iteration 42: (EM) log likelihood = -28721.536
Iteration 43: (EM) log likelihood = -28711.233
Iteration 44: (EM) log likelihood = -28701.021
Iteration 45: (EM) log likelihood = -28690.594
Iteration 46: (EM) log likelihood = -28680.256
Iteration 47: (EM) log likelihood = -28669.841
Iteration 48: (EM) log likelihood = -28659.678
Iteration 49: (EM) log likelihood = -28649.299
Iteration 50: (EM) log likelihood = -28639.029
Iteration 51: (EM) log likelihood = -28629.171
Iteration 52: (EM) log likelihood = -28619.061
Iteration 53: (EM) log likelihood = -28609.058
Iteration 54: (EM) log likelihood = -28599.242
Iteration 55: (EM) log likelihood = -28589.461
Iteration 56: (EM) log likelihood = -28579.112
Iteration 57: (EM) log likelihood = -28569.994
Iteration 58: (EM) log likelihood = -28561.449
Iteration 59: (EM) log likelihood = -28552.344
Iteration 60: (EM) log likelihood = -28543.401
Iteration 61: (EM) log likelihood = -28534.242
Iteration 62: (EM) log likelihood = -28525.65
Iteration 63: (EM) log likelihood = -28517.186
Iteration 64: (EM) log likelihood = -28508.873
Iteration 65: (EM) log likelihood = -28501.217
Iteration 66: (EM) log likelihood = -28493.438
Iteration 67: (EM) log likelihood = -28485.765
Iteration 68: (EM) log likelihood = -28478.314
Iteration 69: (EM) log likelihood = -28471.093
Iteration 70: (EM) log likelihood = -28464.115
Iteration 71: (EM) log likelihood = -28457.266
Iteration 72: (EM) log likelihood = -28450.211
Iteration 73: (EM) log likelihood = -28443.174
Iteration 74: (EM) log likelihood = -28436.68
Iteration 75: (EM) log likelihood = -28430.587
Iteration 76: (EM) log likelihood = -28424.391
Iteration 77: (EM) log likelihood = -28418.088
Iteration 78: (EM) log likelihood = -28412.286
Iteration 79: (EM) log likelihood = -28406.705
Iteration 80: (EM) log likelihood = -28401.402
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.4253
Iteration 1: (class) log likelihood = -4162.4253
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29152.854
Iteration 1: (outcome) log likelihood = -29152.854
Refining starting values:
Iteration 0: (EM) log likelihood = -33312.07
Iteration 1: (EM) log likelihood = -33290.12
Iteration 2: (EM) log likelihood = -33199.886
Iteration 3: (EM) log likelihood = -32870.073
Iteration 4: (EM) log likelihood = -32072.592
Iteration 5: (EM) log likelihood = -31142.94
Iteration 6: (EM) log likelihood = -30486.682
Iteration 7: (EM) log likelihood = -29990.728
Iteration 8: (EM) log likelihood = -29575.238
Iteration 9: (EM) log likelihood = -29269.297
Iteration 10: (EM) log likelihood = -29083.428
Iteration 11: (EM) log likelihood = -28981.513
Iteration 12: (EM) log likelihood = -28925.541
Iteration 13: (EM) log likelihood = -28892.164
Iteration 14: (EM) log likelihood = -28869.631
Iteration 15: (EM) log likelihood = -28852.246
Iteration 16: (EM) log likelihood = -28837.537
Iteration 17: (EM) log likelihood = -28825.211
Iteration 18: (EM) log likelihood = -28813.64
Iteration 19: (EM) log likelihood = -28802.634
Iteration 20: (EM) log likelihood = -28791.881
Iteration 21: (EM) log likelihood = -28781.615
Iteration 22: (EM) log likelihood = -28770.924
Iteration 23: (EM) log likelihood = -28760.643
Iteration 24: (EM) log likelihood = -28750.269
Iteration 25: (EM) log likelihood = -28740.186
Iteration 26: (EM) log likelihood = -28730.093
Iteration 27: (EM) log likelihood = -28719.959
Iteration 28: (EM) log likelihood = -28709.905
Iteration 29: (EM) log likelihood = -28699.796
Iteration 30: (EM) log likelihood = -28689.924
Iteration 31: (EM) log likelihood = -28679.869
Iteration 32: (EM) log likelihood = -28670.036
Iteration 33: (EM) log likelihood = -28660.22
Iteration 34: (EM) log likelihood = -28650.593
Iteration 35: (EM) log likelihood = -28640.905
Iteration 36: (EM) log likelihood = -28631.343
Iteration 37: (EM) log likelihood = -28621.935
Iteration 38: (EM) log likelihood = -28612.45
Iteration 39: (EM) log likelihood = -28603.173
Iteration 40: (EM) log likelihood = -28593.907
Iteration 41: (EM) log likelihood = -28584.76
Iteration 42: (EM) log likelihood = -28576.623
Iteration 43: (EM) log likelihood = -28568.417
Iteration 44: (EM) log likelihood = -28559.605
Iteration 45: (EM) log likelihood = -28550.987
Iteration 46: (EM) log likelihood = -28542.53
Iteration 47: (EM) log likelihood = -28534.176
Iteration 48: (EM) log likelihood = -28526.911
Iteration 49: (EM) log likelihood = -28518.503
Iteration 50: (EM) log likelihood = -28510.276
Iteration 51: (EM) log likelihood = -28502.669
Iteration 52: (EM) log likelihood = -28494.987
Iteration 53: (EM) log likelihood = -28487.689
Iteration 54: (EM) log likelihood = -28480.599
Iteration 55: (EM) log likelihood = -28473.618
Iteration 56: (EM) log likelihood = -28466.417
Iteration 57: (EM) log likelihood = -28459.705
Iteration 58: (EM) log likelihood = -28453.35
Iteration 59: (EM) log likelihood = -28447.041
Iteration 60: (EM) log likelihood = -28440.824
Iteration 61: (EM) log likelihood = -28434.744
Iteration 62: (EM) log likelihood = -28428.689
Iteration 63: (EM) log likelihood = -28422.937
Iteration 64: (EM) log likelihood = -28417.229
Iteration 65: (EM) log likelihood = -28411.653
Iteration 66: (EM) log likelihood = -28406.246
Iteration 67: (EM) log likelihood = -28401.07
Iteration 68: (EM) log likelihood = -28396.083
Iteration 69: (EM) log likelihood = -28391.229
Iteration 70: (EM) log likelihood = -28386.376
Iteration 71: (EM) log likelihood = -28381.681
Iteration 72: (EM) log likelihood = -28376.331
Iteration 73: (EM) log likelihood = -28372.041
Iteration 74: (EM) log likelihood = -28367.548
Iteration 75: (EM) log likelihood = -28363.385
Iteration 76: (EM) log likelihood = -28358.957
Iteration 77: (EM) log likelihood = -28354.621
Iteration 78: (EM) log likelihood = -28350.758
Iteration 79: (EM) log likelihood = -28346.722
Iteration 80: (EM) log likelihood = -28343.005
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.2722
Iteration 1: (class) log likelihood = -4162.2722
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29143.044
Iteration 1: (outcome) log likelihood = -29143.044
Refining starting values:
Iteration 0: (EM) log likelihood = -33288.404
Iteration 1: (EM) log likelihood = -33232.711
Iteration 2: (EM) log likelihood = -33058.598
Iteration 3: (EM) log likelihood = -32585.885
Iteration 4: (EM) log likelihood = -31724.299
Iteration 5: (EM) log likelihood = -30762.315
Iteration 6: (EM) log likelihood = -30025.097
Iteration 7: (EM) log likelihood = -29536.932
Iteration 8: (EM) log likelihood = -29234.527
Iteration 9: (EM) log likelihood = -29070.951
Iteration 10: (EM) log likelihood = -28987.564
Iteration 11: (EM) log likelihood = -28939.778
Iteration 12: (EM) log likelihood = -28910.725
Iteration 13: (EM) log likelihood = -28894.292
Iteration 14: (EM) log likelihood = -28881.737
Iteration 15: (EM) log likelihood = -28870.926
Iteration 16: (EM) log likelihood = -28861.06
Iteration 17: (EM) log likelihood = -28851.167
Iteration 18: (EM) log likelihood = -28841.023
Iteration 19: (EM) log likelihood = -28830.618
Iteration 20: (EM) log likelihood = -28819.942
Iteration 21: (EM) log likelihood = -28809.032
Iteration 22: (EM) log likelihood = -28797.501
Iteration 23: (EM) log likelihood = -28785.967
Iteration 24: (EM) log likelihood = -28774.193
Iteration 25: (EM) log likelihood = -28762.634
Iteration 26: (EM) log likelihood = -28750.984
Iteration 27: (EM) log likelihood = -28739.387
Iteration 28: (EM) log likelihood = -28727.681
Iteration 29: (EM) log likelihood = -28716.082
Iteration 30: (EM) log likelihood = -28704.087
Iteration 31: (EM) log likelihood = -28692.713
Iteration 32: (EM) log likelihood = -28681.347
Iteration 33: (EM) log likelihood = -28669.469
Iteration 34: (EM) log likelihood = -28658.54
Iteration 35: (EM) log likelihood = -28647.487
Iteration 36: (EM) log likelihood = -28636.578
Iteration 37: (EM) log likelihood = -28625.699
Iteration 38: (EM) log likelihood = -28615.059
Iteration 39: (EM) log likelihood = -28604.444
Iteration 40: (EM) log likelihood = -28594.143
Iteration 41: (EM) log likelihood = -28583.826
Iteration 42: (EM) log likelihood = -28573.635
Iteration 43: (EM) log likelihood = -28564.262
Iteration 44: (EM) log likelihood = -28554.276
Iteration 45: (EM) log likelihood = -28544.568
Iteration 46: (EM) log likelihood = -28535.112
Iteration 47: (EM) log likelihood = -28525.857
Iteration 48: (EM) log likelihood = -28516.79
Iteration 49: (EM) log likelihood = -28508.221
Iteration 50: (EM) log likelihood = -28499.141
Iteration 51: (EM) log likelihood = -28490.781
Iteration 52: (EM) log likelihood = -28483.411
Iteration 53: (EM) log likelihood = -28475.21
Iteration 54: (EM) log likelihood = -28467.275
Iteration 55: (EM) log likelihood = -28459.354
Iteration 56: (EM) log likelihood = -28451.74
Iteration 57: (EM) log likelihood = -28444.122
Iteration 58: (EM) log likelihood = -28436.845
Iteration 59: (EM) log likelihood = -28429.898
Iteration 60: (EM) log likelihood = -28423.164
Iteration 61: (EM) log likelihood = -28416.605
Iteration 62: (EM) log likelihood = -28409.988
Iteration 63: (EM) log likelihood = -28403.636
Iteration 64: (EM) log likelihood = -28397.564
Iteration 65: (EM) log likelihood = -28391.818
Iteration 66: (EM) log likelihood = -28385.901
Iteration 67: (EM) log likelihood = -28380.268
Iteration 68: (EM) log likelihood = -28374.701
Iteration 69: (EM) log likelihood = -28369.368
Iteration 70: (EM) log likelihood = -28364.126
Iteration 71: (EM) log likelihood = -28359.143
Iteration 72: (EM) log likelihood = -28354.298
Iteration 73: (EM) log likelihood = -28349.38
Iteration 74: (EM) log likelihood = -28344.816
Iteration 75: (EM) log likelihood = -28340.119
Iteration 76: (EM) log likelihood = -28335.535
Iteration 77: (EM) log likelihood = -28331.378
Iteration 78: (EM) log likelihood = -28326.878
Iteration 79: (EM) log likelihood = -28322.785
Iteration 80: (EM) log likelihood = -28318.568
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4162.2387
Iteration 1: (class) log likelihood = -4162.2387
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29138.376
Iteration 1: (outcome) log likelihood = -29138.376
Refining starting values:
Iteration 0: (EM) log likelihood = -33289.425
Iteration 1: (EM) log likelihood = -33240.034
Iteration 2: (EM) log likelihood = -33047.741
Iteration 3: (EM) log likelihood = -32440.983
Iteration 4: (EM) log likelihood = -31415.996
Iteration 5: (EM) log likelihood = -30583.389
Iteration 6: (EM) log likelihood = -30070.5
Iteration 7: (EM) log likelihood = -29704.016
Iteration 8: (EM) log likelihood = -29429.252
Iteration 9: (EM) log likelihood = -29238.527
Iteration 10: (EM) log likelihood = -29113.382
Iteration 11: (EM) log likelihood = -29033.667
Iteration 12: (EM) log likelihood = -28982.663
Iteration 13: (EM) log likelihood = -28947.662
Iteration 14: (EM) log likelihood = -28921.605
Iteration 15: (EM) log likelihood = -28901.082
Iteration 16: (EM) log likelihood = -28880.752
Iteration 17: (EM) log likelihood = -28861.035
Iteration 18: (EM) log likelihood = -28840.192
Iteration 19: (EM) log likelihood = -28819.534
Iteration 20: (EM) log likelihood = -28800.756
Iteration 21: (EM) log likelihood = -28782.916
Iteration 22: (EM) log likelihood = -28766.099
Iteration 23: (EM) log likelihood = -28749.474
Iteration 24: (EM) log likelihood = -28734.501
Iteration 25: (EM) log likelihood = -28719.027
Iteration 26: (EM) log likelihood = -28705.341
Iteration 27: (EM) log likelihood = -28691.458
Iteration 28: (EM) log likelihood = -28679.382
Iteration 29: (EM) log likelihood = -28666.289
Iteration 30: (EM) log likelihood = -28653.706
Iteration 31: (EM) log likelihood = -28641.348
Iteration 32: (EM) log likelihood = -28629.577
Iteration 33: (EM) log likelihood = -28617.82
Iteration 34: (EM) log likelihood = -28606.299
Iteration 35: (EM) log likelihood = -28594.842
Iteration 36: (EM) log likelihood = -28583.735
Iteration 37: (EM) log likelihood = -28572.054
Iteration 38: (EM) log likelihood = -28561.564
Iteration 39: (EM) log likelihood = -28551.39
Iteration 40: (EM) log likelihood = -28541.427
Iteration 41: (EM) log likelihood = -28531.726
Iteration 42: (EM) log likelihood = -28522.448
Iteration 43: (EM) log likelihood = -28513.069
Iteration 44: (EM) log likelihood = -28503.996
Iteration 45: (EM) log likelihood = -28495.127
Iteration 46: (EM) log likelihood = -28486.741
Iteration 47: (EM) log likelihood = -28478.165
Iteration 48: (EM) log likelihood = -28470.131
Iteration 49: (EM) log likelihood = -28462.659
Iteration 50: (EM) log likelihood = -28455.317
Iteration 51: (EM) log likelihood = -28447.955
Iteration 52: (EM) log likelihood = -28440.827
Iteration 53: (EM) log likelihood = -28434.225
Iteration 54: (EM) log likelihood = -28427.443
Iteration 55: (EM) log likelihood = -28420.724
Iteration 56: (EM) log likelihood = -28414.43
Iteration 57: (EM) log likelihood = -28408.183
Iteration 58: (EM) log likelihood = -28401.831
Iteration 59: (EM) log likelihood = -28395.855
Iteration 60: (EM) log likelihood = -28389.953
Iteration 61: (EM) log likelihood = -28384.537
Iteration 62: (EM) log likelihood = -28380.097
Iteration 63: (EM) log likelihood = -28374.583
Iteration 64: (EM) log likelihood = -28369.401
Iteration 65: (EM) log likelihood = -28364.877
Iteration 66: (EM) log likelihood = -28359.919
Iteration 67: (EM) log likelihood = -28355.2
Iteration 68: (EM) log likelihood = -28350.932
Iteration 69: (EM) log likelihood = -28346.331
Iteration 70: (EM) log likelihood = -28342.396
Iteration 71: (EM) log likelihood = -28338.094
Iteration 72: (EM) log likelihood = -28334.076
Iteration 73: (EM) log likelihood = -28329.916
Iteration 74: (EM) log likelihood = -28325.785
Iteration 75: (EM) log likelihood = -28323.686
Iteration 76: (EM) log likelihood = -28319.801
Iteration 77: (EM) log likelihood = -28316.349
Iteration 78: (EM) log likelihood = -28313.302
Iteration 79: (EM) log likelihood = -28309.853
Iteration 80: (EM) log likelihood = -28306.341
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -4161.7389
Iteration 1: (class) log likelihood = -4161.7389 (backed up)
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29152.064
Iteration 1: (outcome) log likelihood = -29152.064
Refining starting values:
Iteration 0: (EM) log likelihood = -33291.381
Iteration 1: (EM) log likelihood = -33202.37
Iteration 2: (EM) log likelihood = -32931.254
Iteration 3: (EM) log likelihood = -32391.154
Iteration 4: (EM) log likelihood = -31732.144
Iteration 5: (EM) log likelihood = -31131.113
Iteration 6: (EM) log likelihood = -30604.186
Iteration 7: (EM) log likelihood = -30096.573
Iteration 8: (EM) log likelihood = -29603.547
Iteration 9: (EM) log likelihood = -29185.983
Iteration 10: (EM) log likelihood = -28861.317
Iteration 11: (EM) log likelihood = -28617.34
Iteration 12: (EM) log likelihood = -28453.246
Iteration 13: (EM) log likelihood = -28345.791
Iteration 14: (EM) log likelihood = -28268.801
Iteration 15: (EM) log likelihood = -28206.226
Iteration 16: (EM) log likelihood = -28151.54
Iteration 17: (EM) log likelihood = -28101.72
Iteration 18: (EM) log likelihood = -28056.396
Iteration 19: (EM) log likelihood = -28013.516
Iteration 20: (EM) log likelihood = -27974.737
Iteration 21: (EM) log likelihood = -27942.246
Iteration 22: (EM) log likelihood = -27913.233
Iteration 23: (EM) log likelihood = -27886.065
Iteration 24: (EM) log likelihood = -27864.484
Iteration 25: (EM) log likelihood = -27845.315
Iteration 26: (EM) log likelihood = -27828.407
Iteration 27: (EM) log likelihood = -27815.022
Iteration 28: (EM) log likelihood = -27803.571
Iteration 29: (EM) log likelihood = -27795.144
Iteration 30: (EM) log likelihood = -27788.453
Iteration 31: (EM) log likelihood = -27782.043
Iteration 32: (EM) log likelihood = -27777.608
Iteration 33: (EM) log likelihood = -27773.697
Iteration 34: (EM) log likelihood = -27770.333
Iteration 35: (EM) log likelihood = -27767.297
Iteration 36: (EM) log likelihood = -27765.103
Iteration 37: (EM) log likelihood = -27763.032
Iteration 38: (EM) log likelihood = -27761.621
Iteration 39: (EM) log likelihood = -27760.029
Iteration 40: (EM) log likelihood = -27758.826
Iteration 41: (EM) log likelihood = -27757.868
Iteration 42: (EM) log likelihood = -27756.975
Iteration 43: (EM) log likelihood = -27756.29
Iteration 44: (EM) log likelihood = -27755.713
Iteration 45: (EM) log likelihood = -27755.209
Iteration 46: (EM) log likelihood = -27754.786
Iteration 47: (EM) log likelihood = -27754.362
Iteration 48: (EM) log likelihood = -27754.066
Iteration 49: (EM) log likelihood = -27753.775
Iteration 50: (EM) log likelihood = -27753.555
Iteration 51: (EM) log likelihood = -27753.335
Iteration 52: (EM) log likelihood = -27753.182
Iteration 53: (EM) log likelihood = -27752.999
Iteration 54: (EM) log likelihood = -27752.859
Iteration 55: (EM) log likelihood = -27752.715
Iteration 56: (EM) log likelihood = -27752.578
Iteration 57: (EM) log likelihood = -27752.492
Iteration 58: (EM) log likelihood = -27752.414
Iteration 59: (EM) log likelihood = -27752.318
Iteration 60: (EM) log likelihood = -27752.248
Iteration 61: (EM) log likelihood = -27752.19
Iteration 62: (EM) log likelihood = -27752.138
Iteration 63: (EM) log likelihood = -27752.108
Iteration 64: (EM) log likelihood = -27752.067
Iteration 65: (EM) log likelihood = -27752.023
Iteration 66: (EM) log likelihood = -27752.029
Fitting full model:
Iteration 0: log likelihood = -27574.36 (not concave)
Iteration 1: log likelihood = -27573.823 (not concave)
Iteration 2: log likelihood = -27573.564 (not concave)
Iteration 3: log likelihood = -27573.496 (not concave)
Iteration 4: log likelihood = -27572.914 (not concave)
Iteration 5: log likelihood = -27572.581 (not concave)
Iteration 6: log likelihood = -27572.453 (not concave)
Iteration 7: log likelihood = -27572.04 (not concave)
Iteration 8: log likelihood = -27571.848 (not concave)
Iteration 9: log likelihood = -27571.573 (not concave)
Iteration 10: log likelihood = -27570.909 (not concave)
Iteration 11: log likelihood = -27570.549 (not concave)
Iteration 12: log likelihood = -27570.24 (not concave)
Iteration 13: log likelihood = -27570.168 (not concave)
Iteration 14: log likelihood = -27570.12 (not concave)
Iteration 15: log likelihood = -27570.099 (not concave)
Iteration 16: log likelihood = -27570.088 (not concave)
Iteration 17: log likelihood = -27570.081 (not concave)
Iteration 18: log likelihood = -27570.079 (not concave)
Generalized structural equation model Number of obs = 3,789
Log likelihood = -27570.079
------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
1.C | (base outcome)
-------------+----------------------------------------------------------------
2.C |
_cons | -2.649944 .0909626 -29.13 0.000 -2.828227 -2.471661
-------------+----------------------------------------------------------------
3.C |
_cons | -1.378583 .0447633 -30.80 0.000 -1.466318 -1.290849
------------------------------------------------------------------------------
Class : 1
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | .654283 .0410367 15.94 0.000 .5738525 .7347134
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -123.1059 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 1.446776 .2715818 5.33 0.000 .9144852 1.979066
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 3.731401 .2470291 15.11 0.000 3.247233 4.21557
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 4.049248 .2461534 16.45 0.000 3.566796 4.5317
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 4.016143 .2462134 16.31 0.000 3.533574 4.498713
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 2.328336 .2556748 9.11 0.000 1.827222 2.829449
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.502041 .049745 30.19 0.000 1.404542 1.599539
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -1.456618 .1035772 -14.06 0.000 -1.659626 -1.25361
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 4.897018 .2382413 20.55 0.000 4.430074 5.363963
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 3.27594 .2426558 13.50 0.000 2.800344 3.751537
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | -1.329065 .4081521 -3.26 0.001 -2.129029 -.529102
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.600115 .1278465 20.34 0.000 2.34954 2.850689
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.730458 .1273659 21.44 0.000 2.480825 2.98009
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.884254 .1320146 14.27 0.000 1.62551 2.142998
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.027837 .1423454 7.22 0.000 .7488454 1.306829
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 5.176175 .3828602 13.52 0.000 4.425783 5.926567
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 4.234821 .3845204 11.01 0.000 3.481175 4.988467
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 4.163206 .3847316 10.82 0.000 3.409146 4.917266
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 3.804242 .3861064 9.85 0.000 3.047487 4.560997
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 4.111734 .3848942 10.68 0.000 3.357355 4.866112
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 3.993065 .3582072 11.15 0.000 3.290992 4.695138
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 5.237373 .3558967 14.72 0.000 4.539828 5.934917
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 4.720414 .3565362 13.24 0.000 4.021616 5.419212
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 1.403305 .4170345 3.36 0.001 .5859328 2.220678
--------------------------------------------------------------------------------------------
Class : 2
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -3.116728 1.957006 -1.59 0.111 -6.95239 .7189328
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | 1.204688 .2387498 5.05 0.000 .7367472 1.672629
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 22.75139 .4972016 45.76 0.000 21.77689 23.72589
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 23.64585 .4734094 49.95 0.000 22.71799 24.57372
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 23.21404 .485231 47.84 0.000 22.263 24.16507
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 22.99327 .4896811 46.96 0.000 22.03351 23.95302
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 20.96717 . . . . .
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.886911 .2232084 8.45 0.000 1.449431 2.324391
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -1.356856 .4605034 -2.95 0.003 -2.259426 -.4542862
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 7.231522 32313.98 0.00 1.000 -63327.01 63341.48
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 25.92285 32231.18 0.00 0.999 -63146.03 63197.88
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | 3.280958 .5148158 6.37 0.000 2.271938 4.289978
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.197119 .5322165 4.13 0.000 1.153994 3.240244
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | .6347283 .7648338 0.83 0.407 -.8643184 2.133775
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | -56.6889 . . . . .
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | -95.76255 . . . . .
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 4.979633 1.119772 4.45 0.000 2.78492 7.174346
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 2.939372 1.15007 2.56 0.011 .6852772 5.193468
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 1.369475 1.323402 1.03 0.301 -1.224345 3.963294
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 4.286687 1.123348 3.82 0.000 2.084966 6.488409
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 2.217792 1.184511 1.87 0.061 -.1038075 4.539391
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | -8.599507 65.7767 -0.13 0.896 -137.5195 120.3205
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 3.037533 .468885 6.48 0.000 2.118535 3.956531
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 1.891438 .4949671 3.82 0.000 .9213201 2.861555
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 2.561426 .4765568 5.37 0.000 1.627392 3.49546
--------------------------------------------------------------------------------------------
Class : 3
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -68.71829 . . . . .
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | 1.381031 .108835 12.69 0.000 1.167718 1.594344
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 5.016889 .8528943 5.88 0.000 3.345247 6.688531
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 4.941686 .8532545 5.79 0.000 3.269338 6.614035
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 4.85698 .8536426 5.69 0.000 3.183871 6.530089
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 4.324441 .856366 5.05 0.000 2.645994 6.002887
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 2.349125 .8917648 2.63 0.008 .6012986 4.096952
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.696685 .1073376 15.81 0.000 1.486307 1.907063
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -1.181708 .2038394 -5.80 0.000 -1.581226 -.7821898
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 18.17136 339.3332 0.05 0.957 -646.9096 683.2523
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 13.66731 339.3339 0.04 0.968 -651.4149 678.7495
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.154263 .4353877 9.54 0.000 3.300919 5.007607
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.726228 .4415888 6.17 0.000 1.86073 3.591726
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | -97.32084 . . . . .
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | -131.5249 . . . . .
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | -103.7054 . . . . .
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 4.405795 .5490331 8.02 0.000 3.32971 5.481881
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 3.580233 .553333 6.47 0.000 2.49572 4.664746
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 3.492054 .5542256 6.30 0.000 2.405792 4.578316
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 2.949746 .5604776 5.26 0.000 1.85123 4.048262
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 3.780127 .5519591 6.85 0.000 2.698307 4.861947
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 3.906137 .9621859 4.06 0.000 2.020287 5.791987
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 6.08371 .9532695 6.38 0.000 4.215337 7.952084
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 4.989426 .9556234 5.22 0.000 3.116438 6.862413
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 1.0739 1.110387 0.97 0.333 -1.102419 3.250218
--------------------------------------------------------------------------------------------
----------------------------------------------------------------------------
Fit statistic | Value Description
---------------------+------------------------------------------------------
Likelihood ratio |
chi2_ms(29090) | 5211.750 model vs. saturated
p > chi2 | 1.000
---------------------+------------------------------------------------------
Information criteria |
AIC | 55278.159 Akaike's information criterion
BIC | 55708.709 Bayesian information criterion
----------------------------------------------------------------------------
Entropy:
.95640187
(results lca_prueba_c2 are active now)
(results lca_prueba_c3 are active now)
LMR LT test statistic:
299.7599
P value Lo-Mendel:
0.00000000000000000
__00000B = 299.7599
__00000A = 311.88632
__00000D = 5
__00000C = 8
__000009 = 3
__000005 = 69
__000003 = -27570.079
__000008 = 2
__000004 = 50
__000002 = -27726.022
__000001 = 3789
scalars:
r(lmrt_p) = 2.24049836907e-52
r(lmrt) = 299.7599048647704
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.23
Iteration 1: (class) log likelihood = -5251.23
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29136.745
Iteration 1: (outcome) log likelihood = -29136.745
Refining starting values:
Iteration 0: (EM) log likelihood = -34378.429
Iteration 1: (EM) log likelihood = -34340.755
Iteration 2: (EM) log likelihood = -34221.509
Iteration 3: (EM) log likelihood = -33888.814
Iteration 4: (EM) log likelihood = -33194.611
Iteration 5: (EM) log likelihood = -32222.672
Iteration 6: (EM) log likelihood = -31273.495
Iteration 7: (EM) log likelihood = -30536.216
Iteration 8: (EM) log likelihood = -30031.823
Iteration 9: (EM) log likelihood = -29719.855
Iteration 10: (EM) log likelihood = -29534.641
Iteration 11: (EM) log likelihood = -29413.294
Iteration 12: (EM) log likelihood = -29323.589
Iteration 13: (EM) log likelihood = -29249.834
Iteration 14: (EM) log likelihood = -29190.383
Iteration 15: (EM) log likelihood = -29142.047
Iteration 16: (EM) log likelihood = -29104.617
Iteration 17: (EM) log likelihood = -29074.223
Iteration 18: (EM) log likelihood = -29051.91
Iteration 19: (EM) log likelihood = -29032.035
Iteration 20: (EM) log likelihood = -29012.713
Iteration 21: (EM) log likelihood = -28995.891
Iteration 22: (EM) log likelihood = -28979.125
Iteration 23: (EM) log likelihood = -28963.354
Iteration 24: (EM) log likelihood = -28948.907
Iteration 25: (EM) log likelihood = -28934.19
Iteration 26: (EM) log likelihood = -28921.509
Iteration 27: (EM) log likelihood = -28908.564
Iteration 28: (EM) log likelihood = -28896.83
Iteration 29: (EM) log likelihood = -28884.533
Iteration 30: (EM) log likelihood = -28872.712
Iteration 31: (EM) log likelihood = -28861.552
Iteration 32: (EM) log likelihood = -28850.212
Iteration 33: (EM) log likelihood = -28840.133
Iteration 34: (EM) log likelihood = -28829.986
Iteration 35: (EM) log likelihood = -28819.461
Iteration 36: (EM) log likelihood = -28809.115
Iteration 37: (EM) log likelihood = -28799.641
Iteration 38: (EM) log likelihood = -28790.547
Iteration 39: (EM) log likelihood = -28781.58
Iteration 40: (EM) log likelihood = -28772.753
Iteration 41: (EM) log likelihood = -28764.053
Iteration 42: (EM) log likelihood = -28755.92
Iteration 43: (EM) log likelihood = -28747.809
Iteration 44: (EM) log likelihood = -28740.274
Iteration 45: (EM) log likelihood = -28732.771
Iteration 46: (EM) log likelihood = -28725.063
Iteration 47: (EM) log likelihood = -28718.454
Iteration 48: (EM) log likelihood = -28711.381
Iteration 49: (EM) log likelihood = -28704.671
Iteration 50: (EM) log likelihood = -28698.822
Iteration 51: (EM) log likelihood = -28692.373
Iteration 52: (EM) log likelihood = -28686.958
Iteration 53: (EM) log likelihood = -28681.575
Iteration 54: (EM) log likelihood = -28676.934
Iteration 55: (EM) log likelihood = -28672.253
Iteration 56: (EM) log likelihood = -28668.61
Iteration 57: (EM) log likelihood = -28663.313
Iteration 58: (EM) log likelihood = -28658.125
Iteration 59: (EM) log likelihood = -28653.692
Iteration 60: (EM) log likelihood = -28649.278
Iteration 61: (EM) log likelihood = -28644.709
Iteration 62: (EM) log likelihood = -28640.524
Iteration 63: (EM) log likelihood = -28636.635
Iteration 64: (EM) log likelihood = -28632.643
Iteration 65: (EM) log likelihood = -28628.449
Iteration 66: (EM) log likelihood = -28624.545
Iteration 67: (EM) log likelihood = -28621.024
Iteration 68: (EM) log likelihood = -28617.536
Iteration 69: (EM) log likelihood = -28613.643
Iteration 70: (EM) log likelihood = -28610.397
Iteration 71: (EM) log likelihood = -28606.945
Iteration 72: (EM) log likelihood = -28603.588
Iteration 73: (EM) log likelihood = -28600.617
Iteration 74: (EM) log likelihood = -28597.338
Iteration 75: (EM) log likelihood = -28593.953
Iteration 76: (EM) log likelihood = -28590.683
Iteration 77: (EM) log likelihood = -28587.718
Iteration 78: (EM) log likelihood = -28584.669
Iteration 79: (EM) log likelihood = -28581.715
Iteration 80: (EM) log likelihood = -28579.946
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.3227
Iteration 1: (class) log likelihood = -5251.3227
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29129.197
Iteration 1: (outcome) log likelihood = -29129.197
Refining starting values:
Iteration 0: (EM) log likelihood = -34356.458
Iteration 1: (EM) log likelihood = -34244.963
Iteration 2: (EM) log likelihood = -33823.14
Iteration 3: (EM) log likelihood = -32828.903
Iteration 4: (EM) log likelihood = -31764.726
Iteration 5: (EM) log likelihood = -31075.91
Iteration 6: (EM) log likelihood = -30629.133
Iteration 7: (EM) log likelihood = -30339.527
Iteration 8: (EM) log likelihood = -30158.005
Iteration 9: (EM) log likelihood = -30033.084
Iteration 10: (EM) log likelihood = -29932.541
Iteration 11: (EM) log likelihood = -29843.246
Iteration 12: (EM) log likelihood = -29757.202
Iteration 13: (EM) log likelihood = -29671.992
Iteration 14: (EM) log likelihood = -29589.946
Iteration 15: (EM) log likelihood = -29511.092
Iteration 16: (EM) log likelihood = -29438.455
Iteration 17: (EM) log likelihood = -29374.77
Iteration 18: (EM) log likelihood = -29319.578
Iteration 19: (EM) log likelihood = -29272.979
Iteration 20: (EM) log likelihood = -29232.114
Iteration 21: (EM) log likelihood = -29195.102
Iteration 22: (EM) log likelihood = -29161.365
Iteration 23: (EM) log likelihood = -29129.106
Iteration 24: (EM) log likelihood = -29096.138
Iteration 25: (EM) log likelihood = -29062.438
Iteration 26: (EM) log likelihood = -29028.033
Iteration 27: (EM) log likelihood = -28992.483
Iteration 28: (EM) log likelihood = -28956.292
Iteration 29: (EM) log likelihood = -28918.775
Iteration 30: (EM) log likelihood = -28880.724
Iteration 31: (EM) log likelihood = -28841.201
Iteration 32: (EM) log likelihood = -28802.617
Iteration 33: (EM) log likelihood = -28764.072
Iteration 34: (EM) log likelihood = -28727.503
Iteration 35: (EM) log likelihood = -28691.646
Iteration 36: (EM) log likelihood = -28656.9
Iteration 37: (EM) log likelihood = -28625.027
Iteration 38: (EM) log likelihood = -28593.817
Iteration 39: (EM) log likelihood = -28563.268
Iteration 40: (EM) log likelihood = -28535.567
Iteration 41: (EM) log likelihood = -28509.717
Iteration 42: (EM) log likelihood = -28485.447
Iteration 43: (EM) log likelihood = -28463.331
Iteration 44: (EM) log likelihood = -28443.586
Iteration 45: (EM) log likelihood = -28425.03
Iteration 46: (EM) log likelihood = -28407.174
Iteration 47: (EM) log likelihood = -28391.061
Iteration 48: (EM) log likelihood = -28375.5
Iteration 49: (EM) log likelihood = -28362.856
Iteration 50: (EM) log likelihood = -28347.792
Iteration 51: (EM) log likelihood = -28334.881
Iteration 52: (EM) log likelihood = -28322.279
Iteration 53: (EM) log likelihood = -28310.739
Iteration 54: (EM) log likelihood = -28299.495
Iteration 55: (EM) log likelihood = -28290.064
Iteration 56: (EM) log likelihood = -28276.372
Iteration 57: (EM) log likelihood = -28267.753
Iteration 58: (EM) log likelihood = -28258.843
Iteration 59: (EM) log likelihood = -28250.775
Iteration 60: (EM) log likelihood = -28242.836
Iteration 61: (EM) log likelihood = -28235.615
Iteration 62: (EM) log likelihood = -28228.091
Iteration 63: (EM) log likelihood = -28220.786
Iteration 64: (EM) log likelihood = -28214.076
Iteration 65: (EM) log likelihood = -28206.946
Iteration 66: (EM) log likelihood = -28210.426
Iteration 67: (EM) log likelihood = -28203.149
Iteration 68: (EM) log likelihood = -28194.605
Iteration 69: (EM) log likelihood = -28188.841
Iteration 70: (EM) log likelihood = -28182.258
Iteration 71: (EM) log likelihood = -28175.796
Iteration 72: (EM) log likelihood = -28170.18
Iteration 73: (EM) log likelihood = -28164.648
Iteration 74: (EM) log likelihood = -28159.254
Iteration 75: (EM) log likelihood = -28154.75
Iteration 76: (EM) log likelihood = -28150.069
Iteration 77: (EM) log likelihood = -28146.778
Iteration 78: (EM) log likelihood = -28142.15
Iteration 79: (EM) log likelihood = -28138.672
Iteration 80: (EM) log likelihood = -28134.503
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.4865
Iteration 1: (class) log likelihood = -5251.4865
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29142.311
Iteration 1: (outcome) log likelihood = -29142.311
Refining starting values:
Iteration 0: (EM) log likelihood = -34382.796
Iteration 1: (EM) log likelihood = -34340.808
Iteration 2: (EM) log likelihood = -34188.674
Iteration 3: (EM) log likelihood = -33689.711
Iteration 4: (EM) log likelihood = -32654.98
Iteration 5: (EM) log likelihood = -31544.404
Iteration 6: (EM) log likelihood = -30771.911
Iteration 7: (EM) log likelihood = -30323.994
Iteration 8: (EM) log likelihood = -30087.297
Iteration 9: (EM) log likelihood = -29957.209
Iteration 10: (EM) log likelihood = -29866.869
Iteration 11: (EM) log likelihood = -29790.547
Iteration 12: (EM) log likelihood = -29715.825
Iteration 13: (EM) log likelihood = -29642.635
Iteration 14: (EM) log likelihood = -29571.744
Iteration 15: (EM) log likelihood = -29512.234
Iteration 16: (EM) log likelihood = -29461.161
Iteration 17: (EM) log likelihood = -29418.369
Iteration 18: (EM) log likelihood = -29379.87
Iteration 19: (EM) log likelihood = -29345.492
Iteration 20: (EM) log likelihood = -29314.746
Iteration 21: (EM) log likelihood = -29286.612
Iteration 22: (EM) log likelihood = -29260.951
Iteration 23: (EM) log likelihood = -29237.438
Iteration 24: (EM) log likelihood = -29216.338
Iteration 25: (EM) log likelihood = -29196.033
Iteration 26: (EM) log likelihood = -29176.552
Iteration 27: (EM) log likelihood = -29158.014
Iteration 28: (EM) log likelihood = -29140.408
Iteration 29: (EM) log likelihood = -29121.808
Iteration 30: (EM) log likelihood = -29105.66
Iteration 31: (EM) log likelihood = -29087.744
Iteration 32: (EM) log likelihood = -29071.533
Iteration 33: (EM) log likelihood = -29054.716
Iteration 34: (EM) log likelihood = -29040.31
Iteration 35: (EM) log likelihood = -29025.425
Iteration 36: (EM) log likelihood = -29011.743
Iteration 37: (EM) log likelihood = -28997.128
Iteration 38: (EM) log likelihood = -28983.488
Iteration 39: (EM) log likelihood = -28971.557
Iteration 40: (EM) log likelihood = -28960.052
Iteration 41: (EM) log likelihood = -28948.244
Iteration 42: (EM) log likelihood = -28938.565
Iteration 43: (EM) log likelihood = -28930.071
Iteration 44: (EM) log likelihood = -28920.224
Iteration 45: (EM) log likelihood = -28913.16
Iteration 46: (EM) log likelihood = -28905.318
Iteration 47: (EM) log likelihood = -28897.259
Iteration 48: (EM) log likelihood = -28892.444
Iteration 49: (EM) log likelihood = -28885.662
Iteration 50: (EM) log likelihood = -28879.748
Iteration 51: (EM) log likelihood = -28872.197
Iteration 52: (EM) log likelihood = -28867.351
Iteration 53: (EM) log likelihood = -28859.883
Iteration 54: (EM) log likelihood = -28853.278
Iteration 55: (EM) log likelihood = -28843.67
Iteration 56: (EM) log likelihood = -28838.405
Iteration 57: (EM) log likelihood = -28832.575
Iteration 58: (EM) log likelihood = -28826.066
Iteration 59: (EM) log likelihood = -28819.331
Iteration 60: (EM) log likelihood = -28813.08
Iteration 61: (EM) log likelihood = -28806.425
Iteration 62: (EM) log likelihood = -28799.132
Iteration 63: (EM) log likelihood = -28792.185
Iteration 64: (EM) log likelihood = -28784.909
Iteration 65: (EM) log likelihood = -28778.038
Iteration 66: (EM) log likelihood = -28770.488
Iteration 67: (EM) log likelihood = -28763.618
Iteration 68: (EM) log likelihood = -28756.908
Iteration 69: (EM) log likelihood = -28750.492
Iteration 70: (EM) log likelihood = -28744.049
Iteration 71: (EM) log likelihood = -28737.6
Iteration 72: (EM) log likelihood = -28731.245
Iteration 73: (EM) log likelihood = -28724.451
Iteration 74: (EM) log likelihood = -28718.243
Iteration 75: (EM) log likelihood = -28711.385
Iteration 76: (EM) log likelihood = -28705.426
Iteration 77: (EM) log likelihood = -28699.474
Iteration 78: (EM) log likelihood = -28693.521
Iteration 79: (EM) log likelihood = -28686.684
Iteration 80: (EM) log likelihood = -28681.473
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.0761
Iteration 1: (class) log likelihood = -5252.0761
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29153.148
Iteration 1: (outcome) log likelihood = -29153.148
Refining starting values:
Iteration 0: (EM) log likelihood = -34401.063
Iteration 1: (EM) log likelihood = -34387.277
Iteration 2: (EM) log likelihood = -34351.566
Iteration 3: (EM) log likelihood = -34247.469
Iteration 4: (EM) log likelihood = -33919.522
Iteration 5: (EM) log likelihood = -33106.145
Iteration 6: (EM) log likelihood = -31996.891
Iteration 7: (EM) log likelihood = -31030.882
Iteration 8: (EM) log likelihood = -30300.697
Iteration 9: (EM) log likelihood = -29833.724
Iteration 10: (EM) log likelihood = -29575.315
Iteration 11: (EM) log likelihood = -29434.353
Iteration 12: (EM) log likelihood = -29352.013
Iteration 13: (EM) log likelihood = -29299.771
Iteration 14: (EM) log likelihood = -29263.656
Iteration 15: (EM) log likelihood = -29236.463
Iteration 16: (EM) log likelihood = -29214.48
Iteration 17: (EM) log likelihood = -29194.841
Iteration 18: (EM) log likelihood = -29177.831
Iteration 19: (EM) log likelihood = -29160.736
Iteration 20: (EM) log likelihood = -29145.473
Iteration 21: (EM) log likelihood = -29129.462
Iteration 22: (EM) log likelihood = -29113.243
Iteration 23: (EM) log likelihood = -29099.066
Iteration 24: (EM) log likelihood = -29084.202
Iteration 25: (EM) log likelihood = -29070.393
Iteration 26: (EM) log likelihood = -29058.798
Iteration 27: (EM) log likelihood = -29046.009
Iteration 28: (EM) log likelihood = -29032.647
Iteration 29: (EM) log likelihood = -29020.583
Iteration 30: (EM) log likelihood = -29008.71
Iteration 31: (EM) log likelihood = -28997.824
Iteration 32: (EM) log likelihood = -28988.781
Iteration 33: (EM) log likelihood = -28979.646
Iteration 34: (EM) log likelihood = -28971.043
Iteration 35: (EM) log likelihood = -28961.789
Iteration 36: (EM) log likelihood = -28953.076
Iteration 37: (EM) log likelihood = -28943.944
Iteration 38: (EM) log likelihood = -28934.909
Iteration 39: (EM) log likelihood = -28926.143
Iteration 40: (EM) log likelihood = -28917.382
Iteration 41: (EM) log likelihood = -28909.314
Iteration 42: (EM) log likelihood = -28901.256
Iteration 43: (EM) log likelihood = -28893.446
Iteration 44: (EM) log likelihood = -28886.011
Iteration 45: (EM) log likelihood = -28877.155
Iteration 46: (EM) log likelihood = -28869.005
Iteration 47: (EM) log likelihood = -28860.367
Iteration 48: (EM) log likelihood = -28852.198
Iteration 49: (EM) log likelihood = -28844.245
Iteration 50: (EM) log likelihood = -28836.139
Iteration 51: (EM) log likelihood = -28828.07
Iteration 52: (EM) log likelihood = -28819.041
Iteration 53: (EM) log likelihood = -28809.609
Iteration 54: (EM) log likelihood = -28801.18
Iteration 55: (EM) log likelihood = -28793.704
Iteration 56: (EM) log likelihood = -28785.387
Iteration 57: (EM) log likelihood = -28777.745
Iteration 58: (EM) log likelihood = -28768.32
Iteration 59: (EM) log likelihood = -28761.614
Iteration 60: (EM) log likelihood = -28752.759
Iteration 61: (EM) log likelihood = -28743.206
Iteration 62: (EM) log likelihood = -28733.452
Iteration 63: (EM) log likelihood = -28723.428
Iteration 64: (EM) log likelihood = -28713.74
Iteration 65: (EM) log likelihood = -28704.763
Iteration 66: (EM) log likelihood = -28694.906
Iteration 67: (EM) log likelihood = -28685.305
Iteration 68: (EM) log likelihood = -28676.353
Iteration 69: (EM) log likelihood = -28667.193
Iteration 70: (EM) log likelihood = -28658.05
Iteration 71: (EM) log likelihood = -28649.319
Iteration 72: (EM) log likelihood = -28639.78
Iteration 73: (EM) log likelihood = -28629.357
Iteration 74: (EM) log likelihood = -28620.125
Iteration 75: (EM) log likelihood = -28610.905
Iteration 76: (EM) log likelihood = -28602.359
Iteration 77: (EM) log likelihood = -28593.434
Iteration 78: (EM) log likelihood = -28585.937
Iteration 79: (EM) log likelihood = -28577.395
Iteration 80: (EM) log likelihood = -28567.885
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5246.6734
Iteration 1: (class) log likelihood = -5246.6734
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29130.149
Iteration 1: (outcome) log likelihood = -29130.149
Refining starting values:
Iteration 0: (EM) log likelihood = -34374.733
Iteration 1: (EM) log likelihood = -34346.132
Iteration 2: (EM) log likelihood = -34221.947
Iteration 3: (EM) log likelihood = -33757.857
Iteration 4: (EM) log likelihood = -32742.904
Iteration 5: (EM) log likelihood = -31754.975
Iteration 6: (EM) log likelihood = -31122.422
Iteration 7: (EM) log likelihood = -30659.399
Iteration 8: (EM) log likelihood = -30270.571
Iteration 9: (EM) log likelihood = -29938.84
Iteration 10: (EM) log likelihood = -29678.563
Iteration 11: (EM) log likelihood = -29499.449
Iteration 12: (EM) log likelihood = -29388.495
Iteration 13: (EM) log likelihood = -29322.471
Iteration 14: (EM) log likelihood = -29282.636
Iteration 15: (EM) log likelihood = -29255.931
Iteration 16: (EM) log likelihood = -29235.941
Iteration 17: (EM) log likelihood = -29219.092
Iteration 18: (EM) log likelihood = -29204.43
Iteration 19: (EM) log likelihood = -29190.205
Iteration 20: (EM) log likelihood = -29175.842
Iteration 21: (EM) log likelihood = -29161.166
Iteration 22: (EM) log likelihood = -29145.799
Iteration 23: (EM) log likelihood = -29130.347
Iteration 24: (EM) log likelihood = -29113.972
Iteration 25: (EM) log likelihood = -29096.508
Iteration 26: (EM) log likelihood = -29078.669
Iteration 27: (EM) log likelihood = -29060.206
Iteration 28: (EM) log likelihood = -29041.501
Iteration 29: (EM) log likelihood = -29022.793
Iteration 30: (EM) log likelihood = -29004.718
Iteration 31: (EM) log likelihood = -28986.397
Iteration 32: (EM) log likelihood = -28968.925
Iteration 33: (EM) log likelihood = -28951.86
Iteration 34: (EM) log likelihood = -28935.858
Iteration 35: (EM) log likelihood = -28921.142
Iteration 36: (EM) log likelihood = -28907.283
Iteration 37: (EM) log likelihood = -28894.856
Iteration 38: (EM) log likelihood = -28883.727
Iteration 39: (EM) log likelihood = -28873.932
Iteration 40: (EM) log likelihood = -28865.488
Iteration 41: (EM) log likelihood = -28857.966
Iteration 42: (EM) log likelihood = -28851.351
Iteration 43: (EM) log likelihood = -28845.657
Iteration 44: (EM) log likelihood = -28840.286
Iteration 45: (EM) log likelihood = -28837.805
Iteration 46: (EM) log likelihood = -28832.778
Iteration 47: (EM) log likelihood = -28828.051
Iteration 48: (EM) log likelihood = -28824.347
Iteration 49: (EM) log likelihood = -28821.321
Iteration 50: (EM) log likelihood = -28817.25
Iteration 51: (EM) log likelihood = -28813.689
Iteration 52: (EM) log likelihood = -28810.039
Iteration 53: (EM) log likelihood = -28807.164
Iteration 54: (EM) log likelihood = -28804.236
Iteration 55: (EM) log likelihood = -28801.571
Iteration 56: (EM) log likelihood = -28798.829
Iteration 57: (EM) log likelihood = -28796.031
Iteration 58: (EM) log likelihood = -28793.213
Iteration 59: (EM) log likelihood = -28790.402
Iteration 60: (EM) log likelihood = -28787.665
Iteration 61: (EM) log likelihood = -28784.842
Iteration 62: (EM) log likelihood = -28781.916
Iteration 63: (EM) log likelihood = -28779.077
Iteration 64: (EM) log likelihood = -28775.735
Iteration 65: (EM) log likelihood = -28771.56
Iteration 66: (EM) log likelihood = -28768.687
Iteration 67: (EM) log likelihood = -28765.685
Iteration 68: (EM) log likelihood = -28762.479
Iteration 69: (EM) log likelihood = -28759.2
Iteration 70: (EM) log likelihood = -28756.249
Iteration 71: (EM) log likelihood = -28752.799
Iteration 72: (EM) log likelihood = -28749.701
Iteration 73: (EM) log likelihood = -28746.261
Iteration 74: (EM) log likelihood = -28743.49
Iteration 75: (EM) log likelihood = -28740.071
Iteration 76: (EM) log likelihood = -28736.628
Iteration 77: (EM) log likelihood = -28733.234
Iteration 78: (EM) log likelihood = -28729.81
Iteration 79: (EM) log likelihood = -28726.24
Iteration 80: (EM) log likelihood = -28722.363
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5250.1237
Iteration 1: (class) log likelihood = -5250.1237
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29128.478
Iteration 1: (outcome) log likelihood = -29128.478
Refining starting values:
Iteration 0: (EM) log likelihood = -34351.575
Iteration 1: (EM) log likelihood = -34240.444
Iteration 2: (EM) log likelihood = -33839.97
Iteration 3: (EM) log likelihood = -32892.653
Iteration 4: (EM) log likelihood = -31866.432
Iteration 5: (EM) log likelihood = -31243.684
Iteration 6: (EM) log likelihood = -30877.883
Iteration 7: (EM) log likelihood = -30628.948
Iteration 8: (EM) log likelihood = -30437.64
Iteration 9: (EM) log likelihood = -30281.953
Iteration 10: (EM) log likelihood = -30155.83
Iteration 11: (EM) log likelihood = -30054.683
Iteration 12: (EM) log likelihood = -29973.649
Iteration 13: (EM) log likelihood = -29905.045
Iteration 14: (EM) log likelihood = -29845.898
Iteration 15: (EM) log likelihood = -29793.203
Iteration 16: (EM) log likelihood = -29745.129
Iteration 17: (EM) log likelihood = -29701.837
Iteration 18: (EM) log likelihood = -29660.665
Iteration 19: (EM) log likelihood = -29620.903
Iteration 20: (EM) log likelihood = -29583.58
Iteration 21: (EM) log likelihood = -29548.106
Iteration 22: (EM) log likelihood = -29514.912
Iteration 23: (EM) log likelihood = -29482.57
Iteration 24: (EM) log likelihood = -29451.684
Iteration 25: (EM) log likelihood = -29422.643
Iteration 26: (EM) log likelihood = -29390.921
Iteration 27: (EM) log likelihood = -29359.465
Iteration 28: (EM) log likelihood = -29324.637
Iteration 29: (EM) log likelihood = -29289.355
Iteration 30: (EM) log likelihood = -29252.806
Iteration 31: (EM) log likelihood = -29216.808
Iteration 32: (EM) log likelihood = -29181.959
Iteration 33: (EM) log likelihood = -29149.217
Iteration 34: (EM) log likelihood = -29118.345
Iteration 35: (EM) log likelihood = -29090.86
Iteration 36: (EM) log likelihood = -29065.555
Iteration 37: (EM) log likelihood = -29042.369
Iteration 38: (EM) log likelihood = -29021.883
Iteration 39: (EM) log likelihood = -29004.181
Iteration 40: (EM) log likelihood = -28988.1
Iteration 41: (EM) log likelihood = -28973.932
Iteration 42: (EM) log likelihood = -28961.503
Iteration 43: (EM) log likelihood = -28950.638
Iteration 44: (EM) log likelihood = -28941.017
Iteration 45: (EM) log likelihood = -28932.195
Iteration 46: (EM) log likelihood = -28924.836
Iteration 47: (EM) log likelihood = -28918.707
Iteration 48: (EM) log likelihood = -28913.424
Iteration 49: (EM) log likelihood = -28908.56
Iteration 50: (EM) log likelihood = -28903.503
Iteration 51: (EM) log likelihood = -28899.513
Iteration 52: (EM) log likelihood = -28895.239
Iteration 53: (EM) log likelihood = -28891.997
Iteration 54: (EM) log likelihood = -28889.303
Iteration 55: (EM) log likelihood = -28885.902
Iteration 56: (EM) log likelihood = -28882.219
Iteration 57: (EM) log likelihood = -28879.364
Iteration 58: (EM) log likelihood = -28876
Iteration 59: (EM) log likelihood = -28873.216
Iteration 60: (EM) log likelihood = -28870.928
Iteration 61: (EM) log likelihood = -28868.629
Iteration 62: (EM) log likelihood = -28866.973
Iteration 63: (EM) log likelihood = -28865.349
Iteration 64: (EM) log likelihood = -28863.593
Iteration 65: (EM) log likelihood = -28862.061
Iteration 66: (EM) log likelihood = -28861.022
Iteration 67: (EM) log likelihood = -28860.06
Iteration 68: (EM) log likelihood = -28859.787
Iteration 69: (EM) log likelihood = -28859.03
Iteration 70: (EM) log likelihood = -28856.686
Iteration 71: (EM) log likelihood = -28855.276
Iteration 72: (EM) log likelihood = -28851.849
Iteration 73: (EM) log likelihood = -28847.997
Iteration 74: (EM) log likelihood = -28844.359
Iteration 75: (EM) log likelihood = -28839.269
Iteration 76: (EM) log likelihood = -28835.029
Iteration 77: (EM) log likelihood = -28832.753
Iteration 78: (EM) log likelihood = -28828.486
Iteration 79: (EM) log likelihood = -28825.47
Iteration 80: (EM) log likelihood = -28821.914
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.7804
Iteration 1: (class) log likelihood = -5251.7804
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29149.77
Iteration 1: (outcome) log likelihood = -29149.77
Refining starting values:
Iteration 0: (EM) log likelihood = -34399.257
Iteration 1: (EM) log likelihood = -34385.19
Iteration 2: (EM) log likelihood = -34341.688
Iteration 3: (EM) log likelihood = -34208.967
Iteration 4: (EM) log likelihood = -33855.071
Iteration 5: (EM) log likelihood = -33204.486
Iteration 6: (EM) log likelihood = -32415.15
Iteration 7: (EM) log likelihood = -31599.733
Iteration 8: (EM) log likelihood = -30818.288
Iteration 9: (EM) log likelihood = -30177.665
Iteration 10: (EM) log likelihood = -29778.656
Iteration 11: (EM) log likelihood = -29566.495
Iteration 12: (EM) log likelihood = -29442.622
Iteration 13: (EM) log likelihood = -29363.189
Iteration 14: (EM) log likelihood = -29310.817
Iteration 15: (EM) log likelihood = -29274.983
Iteration 16: (EM) log likelihood = -29248.173
Iteration 17: (EM) log likelihood = -29226.071
Iteration 18: (EM) log likelihood = -29203.873
Iteration 19: (EM) log likelihood = -29181.575
Iteration 20: (EM) log likelihood = -29158.116
Iteration 21: (EM) log likelihood = -29133.255
Iteration 22: (EM) log likelihood = -29107.465
Iteration 23: (EM) log likelihood = -29081.675
Iteration 24: (EM) log likelihood = -29056.345
Iteration 25: (EM) log likelihood = -29032.41
Iteration 26: (EM) log likelihood = -29009.429
Iteration 27: (EM) log likelihood = -28987.685
Iteration 28: (EM) log likelihood = -28967.097
Iteration 29: (EM) log likelihood = -28947.292
Iteration 30: (EM) log likelihood = -28929.13
Iteration 31: (EM) log likelihood = -28912.186
Iteration 32: (EM) log likelihood = -28897.077
Iteration 33: (EM) log likelihood = -28884.011
Iteration 34: (EM) log likelihood = -28872.565
Iteration 35: (EM) log likelihood = -28862.583
Iteration 36: (EM) log likelihood = -28854.648
Iteration 37: (EM) log likelihood = -28847.894
Iteration 38: (EM) log likelihood = -28842.159
Iteration 39: (EM) log likelihood = -28837.677
Iteration 40: (EM) log likelihood = -28833.862
Iteration 41: (EM) log likelihood = -28830.842
Iteration 42: (EM) log likelihood = -28827.767
Iteration 43: (EM) log likelihood = -28825.798
Iteration 44: (EM) log likelihood = -28823.91
Iteration 45: (EM) log likelihood = -28822.687
Iteration 46: (EM) log likelihood = -28821.09
Iteration 47: (EM) log likelihood = -28819.766
Iteration 48: (EM) log likelihood = -28818.608
Iteration 49: (EM) log likelihood = -28817.498
Iteration 50: (EM) log likelihood = -28816.455
Iteration 51: (EM) log likelihood = -28815.45
Iteration 52: (EM) log likelihood = -28814.44
Iteration 53: (EM) log likelihood = -28813.368
Iteration 54: (EM) log likelihood = -28812.122
Iteration 55: (EM) log likelihood = -28810.791
Iteration 56: (EM) log likelihood = -28809.611
Iteration 57: (EM) log likelihood = -28808.256
Iteration 58: (EM) log likelihood = -28806.893
Iteration 59: (EM) log likelihood = -28805.373
Iteration 60: (EM) log likelihood = -28803.815
Iteration 61: (EM) log likelihood = -28802.102
Iteration 62: (EM) log likelihood = -28800.386
Iteration 63: (EM) log likelihood = -28798.572
Iteration 64: (EM) log likelihood = -28796.394
Iteration 65: (EM) log likelihood = -28794.443
Iteration 66: (EM) log likelihood = -28792.318
Iteration 67: (EM) log likelihood = -28789.558
Iteration 68: (EM) log likelihood = -28787.4
Iteration 69: (EM) log likelihood = -28784.95
Iteration 70: (EM) log likelihood = -28782.567
Iteration 71: (EM) log likelihood = -28780.049
Iteration 72: (EM) log likelihood = -28777.415
Iteration 73: (EM) log likelihood = -28774.691
Iteration 74: (EM) log likelihood = -28771.876
Iteration 75: (EM) log likelihood = -28768.985
Iteration 76: (EM) log likelihood = -28766.561
Iteration 77: (EM) log likelihood = -28763.41
Iteration 78: (EM) log likelihood = -28760.18
Iteration 79: (EM) log likelihood = -28756.893
Iteration 80: (EM) log likelihood = -28753.496
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.9226
Iteration 1: (class) log likelihood = -5251.9226
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29138.095
Iteration 1: (outcome) log likelihood = -29138.095
Refining starting values:
Iteration 0: (EM) log likelihood = -34375.861
Iteration 1: (EM) log likelihood = -34318.97
Iteration 2: (EM) log likelihood = -34138.818
Iteration 3: (EM) log likelihood = -33685.963
Iteration 4: (EM) log likelihood = -32903.026
Iteration 5: (EM) log likelihood = -31947.094
Iteration 6: (EM) log likelihood = -31020.916
Iteration 7: (EM) log likelihood = -30325.188
Iteration 8: (EM) log likelihood = -29912.017
Iteration 9: (EM) log likelihood = -29680.872
Iteration 10: (EM) log likelihood = -29538.342
Iteration 11: (EM) log likelihood = -29441.964
Iteration 12: (EM) log likelihood = -29375.147
Iteration 13: (EM) log likelihood = -29329.7
Iteration 14: (EM) log likelihood = -29298.34
Iteration 15: (EM) log likelihood = -29274.355
Iteration 16: (EM) log likelihood = -29256.845
Iteration 17: (EM) log likelihood = -29243.501
Iteration 18: (EM) log likelihood = -29231.453
Iteration 19: (EM) log likelihood = -29222.134
Iteration 20: (EM) log likelihood = -29213.91
Iteration 21: (EM) log likelihood = -29205.511
Iteration 22: (EM) log likelihood = -29196.662
Iteration 23: (EM) log likelihood = -29187.139
Iteration 24: (EM) log likelihood = -29177.337
Iteration 25: (EM) log likelihood = -29166.521
Iteration 26: (EM) log likelihood = -29155.103
Iteration 27: (EM) log likelihood = -29144.089
Iteration 28: (EM) log likelihood = -29131.794
Iteration 29: (EM) log likelihood = -29119.721
Iteration 30: (EM) log likelihood = -29106.656
Iteration 31: (EM) log likelihood = -29093.716
Iteration 32: (EM) log likelihood = -29080.67
Iteration 33: (EM) log likelihood = -29067.065
Iteration 34: (EM) log likelihood = -29054.11
Iteration 35: (EM) log likelihood = -29040.243
Iteration 36: (EM) log likelihood = -29027.102
Iteration 37: (EM) log likelihood = -29013.286
Iteration 38: (EM) log likelihood = -28999.048
Iteration 39: (EM) log likelihood = -28984.593
Iteration 40: (EM) log likelihood = -28971.927
Iteration 41: (EM) log likelihood = -28958.094
Iteration 42: (EM) log likelihood = -28944.401
Iteration 43: (EM) log likelihood = -28931.266
Iteration 44: (EM) log likelihood = -28917.411
Iteration 45: (EM) log likelihood = -28904.606
Iteration 46: (EM) log likelihood = -28890.951
Iteration 47: (EM) log likelihood = -28877.407
Iteration 48: (EM) log likelihood = -28863.8
Iteration 49: (EM) log likelihood = -28850.762
Iteration 50: (EM) log likelihood = -28837.517
Iteration 51: (EM) log likelihood = -28824.149
Iteration 52: (EM) log likelihood = -28811.858
Iteration 53: (EM) log likelihood = -28799.502
Iteration 54: (EM) log likelihood = -28787.744
Iteration 55: (EM) log likelihood = -28775.807
Iteration 56: (EM) log likelihood = -28764.272
Iteration 57: (EM) log likelihood = -28751.671
Iteration 58: (EM) log likelihood = -28740.782
Iteration 59: (EM) log likelihood = -28728.882
Iteration 60: (EM) log likelihood = -28717.239
Iteration 61: (EM) log likelihood = -28706.319
Iteration 62: (EM) log likelihood = -28696.644
Iteration 63: (EM) log likelihood = -28684.766
Iteration 64: (EM) log likelihood = -28673.264
Iteration 65: (EM) log likelihood = -28662.123
Iteration 66: (EM) log likelihood = -28651.593
Iteration 67: (EM) log likelihood = -28641.186
Iteration 68: (EM) log likelihood = -28631.062
Iteration 69: (EM) log likelihood = -28621.094
Iteration 70: (EM) log likelihood = -28611.599
Iteration 71: (EM) log likelihood = -28601.495
Iteration 72: (EM) log likelihood = -28593.15
Iteration 73: (EM) log likelihood = -28583.383
Iteration 74: (EM) log likelihood = -28574.31
Iteration 75: (EM) log likelihood = -28566.719
Iteration 76: (EM) log likelihood = -28557.133
Iteration 77: (EM) log likelihood = -28548.033
Iteration 78: (EM) log likelihood = -28538.706
Iteration 79: (EM) log likelihood = -28530.176
Iteration 80: (EM) log likelihood = -28522.468
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5250.14
Iteration 1: (class) log likelihood = -5250.14
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29131.726
Iteration 1: (outcome) log likelihood = -29131.726
Refining starting values:
Iteration 0: (EM) log likelihood = -34358.1
Iteration 1: (EM) log likelihood = -34245.141
Iteration 2: (EM) log likelihood = -33786.618
Iteration 3: (EM) log likelihood = -32720.257
Iteration 4: (EM) log likelihood = -31716.195
Iteration 5: (EM) log likelihood = -31122.158
Iteration 6: (EM) log likelihood = -30688.416
Iteration 7: (EM) log likelihood = -30319.434
Iteration 8: (EM) log likelihood = -30014.536
Iteration 9: (EM) log likelihood = -29779.91
Iteration 10: (EM) log likelihood = -29608.681
Iteration 11: (EM) log likelihood = -29487.707
Iteration 12: (EM) log likelihood = -29406.047
Iteration 13: (EM) log likelihood = -29349.545
Iteration 14: (EM) log likelihood = -29309.36
Iteration 15: (EM) log likelihood = -29277.117
Iteration 16: (EM) log likelihood = -29250.694
Iteration 17: (EM) log likelihood = -29226.657
Iteration 18: (EM) log likelihood = -29205.18
Iteration 19: (EM) log likelihood = -29182.734
Iteration 20: (EM) log likelihood = -29161.857
Iteration 21: (EM) log likelihood = -29139.166
Iteration 22: (EM) log likelihood = -29115.9
Iteration 23: (EM) log likelihood = -29093.904
Iteration 24: (EM) log likelihood = -29073.647
Iteration 25: (EM) log likelihood = -29055.763
Iteration 26: (EM) log likelihood = -29040.985
Iteration 27: (EM) log likelihood = -29027.6
Iteration 28: (EM) log likelihood = -29017.128
Iteration 29: (EM) log likelihood = -29007.899
Iteration 30: (EM) log likelihood = -28999.9
Iteration 31: (EM) log likelihood = -28993.788
Iteration 32: (EM) log likelihood = -28987.863
Iteration 33: (EM) log likelihood = -28982.573
Iteration 34: (EM) log likelihood = -28978.745
Iteration 35: (EM) log likelihood = -28974.415
Iteration 36: (EM) log likelihood = -28970.044
Iteration 37: (EM) log likelihood = -28966.659
Iteration 38: (EM) log likelihood = -28961.997
Iteration 39: (EM) log likelihood = -28958.343
Iteration 40: (EM) log likelihood = -28954.256
Iteration 41: (EM) log likelihood = -28950.74
Iteration 42: (EM) log likelihood = -28947.255
Iteration 43: (EM) log likelihood = -28943.194
Iteration 44: (EM) log likelihood = -28938.809
Iteration 45: (EM) log likelihood = -28934.178
Iteration 46: (EM) log likelihood = -28929.842
Iteration 47: (EM) log likelihood = -28925.837
Iteration 48: (EM) log likelihood = -28920.969
Iteration 49: (EM) log likelihood = -28916.589
Iteration 50: (EM) log likelihood = -28911.59
Iteration 51: (EM) log likelihood = -28906.674
Iteration 52: (EM) log likelihood = -28902.086
Iteration 53: (EM) log likelihood = -28897.256
Iteration 54: (EM) log likelihood = -28892.322
Iteration 55: (EM) log likelihood = -28887.684
Iteration 56: (EM) log likelihood = -28882.579
Iteration 57: (EM) log likelihood = -28877.262
Iteration 58: (EM) log likelihood = -28872.136
Iteration 59: (EM) log likelihood = -28866.834
Iteration 60: (EM) log likelihood = -28861.111
Iteration 61: (EM) log likelihood = -28855.648
Iteration 62: (EM) log likelihood = -28849.976
Iteration 63: (EM) log likelihood = -28844.405
Iteration 64: (EM) log likelihood = -28838.933
Iteration 65: (EM) log likelihood = -28832.698
Iteration 66: (EM) log likelihood = -28826.947
Iteration 67: (EM) log likelihood = -28821.088
Iteration 68: (EM) log likelihood = -28815.376
Iteration 69: (EM) log likelihood = -28809.654
Iteration 70: (EM) log likelihood = -28804.296
Iteration 71: (EM) log likelihood = -28797.675
Iteration 72: (EM) log likelihood = -28792.439
Iteration 73: (EM) log likelihood = -28786.481
Iteration 74: (EM) log likelihood = -28780.726
Iteration 75: (EM) log likelihood = -28775.201
Iteration 76: (EM) log likelihood = -28768.263
Iteration 77: (EM) log likelihood = -28762.692
Iteration 78: (EM) log likelihood = -28757.154
Iteration 79: (EM) log likelihood = -28751.52
Iteration 80: (EM) log likelihood = -28746.21
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.1642
Iteration 1: (class) log likelihood = -5252.1642
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29126.851
Iteration 1: (outcome) log likelihood = -29126.851
Refining starting values:
Iteration 0: (EM) log likelihood = -34359.783
Iteration 1: (EM) log likelihood = -34278.868
Iteration 2: (EM) log likelihood = -33990.204
Iteration 3: (EM) log likelihood = -33246.49
Iteration 4: (EM) log likelihood = -32192.672
Iteration 5: (EM) log likelihood = -31301.88
Iteration 6: (EM) log likelihood = -30678.94
Iteration 7: (EM) log likelihood = -30260.484
Iteration 8: (EM) log likelihood = -29987.793
Iteration 9: (EM) log likelihood = -29799.331
Iteration 10: (EM) log likelihood = -29659.623
Iteration 11: (EM) log likelihood = -29555.185
Iteration 12: (EM) log likelihood = -29474.108
Iteration 13: (EM) log likelihood = -29411.514
Iteration 14: (EM) log likelihood = -29362.816
Iteration 15: (EM) log likelihood = -29326.182
Iteration 16: (EM) log likelihood = -29294.167
Iteration 17: (EM) log likelihood = -29269.304
Iteration 18: (EM) log likelihood = -29248.391
Iteration 19: (EM) log likelihood = -29229.315
Iteration 20: (EM) log likelihood = -29213.854
Iteration 21: (EM) log likelihood = -29201.449
Iteration 22: (EM) log likelihood = -29189.391
Iteration 23: (EM) log likelihood = -29179.344
Iteration 24: (EM) log likelihood = -29168.549
Iteration 25: (EM) log likelihood = -29159.119
Iteration 26: (EM) log likelihood = -29150.296
Iteration 27: (EM) log likelihood = -29141.835
Iteration 28: (EM) log likelihood = -29134.758
Iteration 29: (EM) log likelihood = -29127.564
Iteration 30: (EM) log likelihood = -29120.539
Iteration 31: (EM) log likelihood = -29113.278
Iteration 32: (EM) log likelihood = -29106.671
Iteration 33: (EM) log likelihood = -29100.745
Iteration 34: (EM) log likelihood = -29094.394
Iteration 35: (EM) log likelihood = -29089.175
Iteration 36: (EM) log likelihood = -29084.672
Iteration 37: (EM) log likelihood = -29080.359
Iteration 38: (EM) log likelihood = -29075.853
Iteration 39: (EM) log likelihood = -29071.635
Iteration 40: (EM) log likelihood = -29068.263
Iteration 41: (EM) log likelihood = -29064.79
Iteration 42: (EM) log likelihood = -29061.866
Iteration 43: (EM) log likelihood = -29058.531
Iteration 44: (EM) log likelihood = -29055.315
Iteration 45: (EM) log likelihood = -29052.403
Iteration 46: (EM) log likelihood = -29049.112
Iteration 47: (EM) log likelihood = -29046.248
Iteration 48: (EM) log likelihood = -29042.849
Iteration 49: (EM) log likelihood = -29038.986
Iteration 50: (EM) log likelihood = -29034.611
Iteration 51: (EM) log likelihood = -29029.842
Iteration 52: (EM) log likelihood = -29023.917
Iteration 53: (EM) log likelihood = -29017.397
Iteration 54: (EM) log likelihood = -29010.19
Iteration 55: (EM) log likelihood = -29001.951
Iteration 56: (EM) log likelihood = -28992.669
Iteration 57: (EM) log likelihood = -28982.322
Iteration 58: (EM) log likelihood = -28971.174
Iteration 59: (EM) log likelihood = -28959.106
Iteration 60: (EM) log likelihood = -28946.486
Iteration 61: (EM) log likelihood = -28933.261
Iteration 62: (EM) log likelihood = -28919.458
Iteration 63: (EM) log likelihood = -28905.743
Iteration 64: (EM) log likelihood = -28892.245
Iteration 65: (EM) log likelihood = -28877.822
Iteration 66: (EM) log likelihood = -28864.643
Iteration 67: (EM) log likelihood = -28850.087
Iteration 68: (EM) log likelihood = -28836.256
Iteration 69: (EM) log likelihood = -28822.588
Iteration 70: (EM) log likelihood = -28809.923
Iteration 71: (EM) log likelihood = -28796.794
Iteration 72: (EM) log likelihood = -28784.392
Iteration 73: (EM) log likelihood = -28772.242
Iteration 74: (EM) log likelihood = -28761.786
Iteration 75: (EM) log likelihood = -28750.259
Iteration 76: (EM) log likelihood = -28739.761
Iteration 77: (EM) log likelihood = -28729.604
Iteration 78: (EM) log likelihood = -28720.508
Iteration 79: (EM) log likelihood = -28711.135
Iteration 80: (EM) log likelihood = -28702.84
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5250.5462
Iteration 1: (class) log likelihood = -5250.5462
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29128.18
Iteration 1: (outcome) log likelihood = -29128.18
Refining starting values:
Iteration 0: (EM) log likelihood = -34357.352
Iteration 1: (EM) log likelihood = -34285.154
Iteration 2: (EM) log likelihood = -34060.374
Iteration 3: (EM) log likelihood = -33503.11
Iteration 4: (EM) log likelihood = -32670.058
Iteration 5: (EM) log likelihood = -31917.487
Iteration 6: (EM) log likelihood = -31330.817
Iteration 7: (EM) log likelihood = -30847.405
Iteration 8: (EM) log likelihood = -30465.874
Iteration 9: (EM) log likelihood = -30171.34
Iteration 10: (EM) log likelihood = -29950.727
Iteration 11: (EM) log likelihood = -29795.196
Iteration 12: (EM) log likelihood = -29689.051
Iteration 13: (EM) log likelihood = -29615.305
Iteration 14: (EM) log likelihood = -29559.581
Iteration 15: (EM) log likelihood = -29515.736
Iteration 16: (EM) log likelihood = -29479.251
Iteration 17: (EM) log likelihood = -29447.252
Iteration 18: (EM) log likelihood = -29419.601
Iteration 19: (EM) log likelihood = -29396.437
Iteration 20: (EM) log likelihood = -29376.361
Iteration 21: (EM) log likelihood = -29359.566
Iteration 22: (EM) log likelihood = -29345.758
Iteration 23: (EM) log likelihood = -29335.418
Iteration 24: (EM) log likelihood = -29325.943
Iteration 25: (EM) log likelihood = -29317.835
Iteration 26: (EM) log likelihood = -29311.85
Iteration 27: (EM) log likelihood = -29306.439
Iteration 28: (EM) log likelihood = -29301.575
Iteration 29: (EM) log likelihood = -29297.61
Iteration 30: (EM) log likelihood = -29293.824
Iteration 31: (EM) log likelihood = -29290.297
Iteration 32: (EM) log likelihood = -29287.077
Iteration 33: (EM) log likelihood = -29284.383
Iteration 34: (EM) log likelihood = -29281.584
Iteration 35: (EM) log likelihood = -29278.845
Iteration 36: (EM) log likelihood = -29275.865
Iteration 37: (EM) log likelihood = -29272.949
Iteration 38: (EM) log likelihood = -29269.994
Iteration 39: (EM) log likelihood = -29267.568
Iteration 40: (EM) log likelihood = -29264.832
Iteration 41: (EM) log likelihood = -29261.76
Iteration 42: (EM) log likelihood = -29259.098
Iteration 43: (EM) log likelihood = -29255.714
Iteration 44: (EM) log likelihood = -29252.691
Iteration 45: (EM) log likelihood = -29249.436
Iteration 46: (EM) log likelihood = -29246.101
Iteration 47: (EM) log likelihood = -29243.091
Iteration 48: (EM) log likelihood = -29239.379
Iteration 49: (EM) log likelihood = -29235.359
Iteration 50: (EM) log likelihood = -29230.522
Iteration 51: (EM) log likelihood = -29226.251
Iteration 52: (EM) log likelihood = -29220.961
Iteration 53: (EM) log likelihood = -29215.83
Iteration 54: (EM) log likelihood = -29210.078
Iteration 55: (EM) log likelihood = -29203.535
Iteration 56: (EM) log likelihood = -29195.718
Iteration 57: (EM) log likelihood = -29188.027
Iteration 58: (EM) log likelihood = -29178.785
Iteration 59: (EM) log likelihood = -29168.482
Iteration 60: (EM) log likelihood = -29157.488
Iteration 61: (EM) log likelihood = -29146.683
Iteration 62: (EM) log likelihood = -29135.252
Iteration 63: (EM) log likelihood = -29121.122
Iteration 64: (EM) log likelihood = -29107.928
Iteration 65: (EM) log likelihood = -29093.769
Iteration 66: (EM) log likelihood = -29078.301
Iteration 67: (EM) log likelihood = -29062.811
Iteration 68: (EM) log likelihood = -29046.441
Iteration 69: (EM) log likelihood = -29032.126
Iteration 70: (EM) log likelihood = -29016.005
Iteration 71: (EM) log likelihood = -29002.343
Iteration 72: (EM) log likelihood = -28989.971
Iteration 73: (EM) log likelihood = -28977.49
Iteration 74: (EM) log likelihood = -28966.703
Iteration 75: (EM) log likelihood = -28956.569
Iteration 76: (EM) log likelihood = -28948.151
Iteration 77: (EM) log likelihood = -28940.563
Iteration 78: (EM) log likelihood = -28933.703
Iteration 79: (EM) log likelihood = -28927.281
Iteration 80: (EM) log likelihood = -28921.083
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.1789
Iteration 1: (class) log likelihood = -5252.1789
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29441.244
Iteration 1: (outcome) log likelihood = -29218.962
Iteration 2: (outcome) log likelihood = -29150.859
Iteration 3: (outcome) log likelihood = -29139.837
Iteration 4: (outcome) log likelihood = -29137.364
Iteration 5: (outcome) log likelihood = -29136.831
Iteration 6: (outcome) log likelihood = -29136.743
Iteration 7: (outcome) log likelihood = -29136.733
Iteration 8: (outcome) log likelihood = -29136.731
Iteration 9: (outcome) log likelihood = -29136.731
Iteration 10: (outcome) log likelihood = -29136.731
Iteration 11: (outcome) log likelihood = -29136.731
Refining starting values:
Iteration 0: (EM) log likelihood = -34363.269
Iteration 1: (EM) log likelihood = -34260.764
Iteration 2: (EM) log likelihood = -33892.807
Iteration 3: (EM) log likelihood = -32967.09
Iteration 4: (EM) log likelihood = -31790.551
Iteration 5: (EM) log likelihood = -30953.062
Iteration 6: (EM) log likelihood = -30452.938
Iteration 7: (EM) log likelihood = -30174.665
Iteration 8: (EM) log likelihood = -30024.152
Iteration 9: (EM) log likelihood = -29929.21
Iteration 10: (EM) log likelihood = -29858.448
Iteration 11: (EM) log likelihood = -29791.398
Iteration 12: (EM) log likelihood = -29722.585
Iteration 13: (EM) log likelihood = -29654.58
Iteration 14: (EM) log likelihood = -29589.535
Iteration 15: (EM) log likelihood = -29530.735
Iteration 16: (EM) log likelihood = -29478.348
Iteration 17: (EM) log likelihood = -29436.701
Iteration 18: (EM) log likelihood = -29398.996
Iteration 19: (EM) log likelihood = -29363.882
Iteration 20: (EM) log likelihood = -29329.651
Iteration 21: (EM) log likelihood = -29294.152
Iteration 22: (EM) log likelihood = -29259.622
Iteration 23: (EM) log likelihood = -29225.929
Iteration 24: (EM) log likelihood = -29193.687
Iteration 25: (EM) log likelihood = -29163.37
Iteration 26: (EM) log likelihood = -29135.662
Iteration 27: (EM) log likelihood = -29111.258
Iteration 28: (EM) log likelihood = -29090.577
Iteration 29: (EM) log likelihood = -29072.661
Iteration 30: (EM) log likelihood = -29056.023
Iteration 31: (EM) log likelihood = -29041.997
Iteration 32: (EM) log likelihood = -29031.008
Iteration 33: (EM) log likelihood = -29020.739
Iteration 34: (EM) log likelihood = -29011.021
Iteration 35: (EM) log likelihood = -29002.266
Iteration 36: (EM) log likelihood = -28993.13
Iteration 37: (EM) log likelihood = -28985.849
Iteration 38: (EM) log likelihood = -28977.332
Iteration 39: (EM) log likelihood = -28969.364
Iteration 40: (EM) log likelihood = -28961.406
Iteration 41: (EM) log likelihood = -28953.815
Iteration 42: (EM) log likelihood = -28946.742
Iteration 43: (EM) log likelihood = -28935.907
Iteration 44: (EM) log likelihood = -28929.838
Iteration 45: (EM) log likelihood = -28922.022
Iteration 46: (EM) log likelihood = -28914.534
Iteration 47: (EM) log likelihood = -28905.854
Iteration 48: (EM) log likelihood = -28897.041
Iteration 49: (EM) log likelihood = -28891.72
Iteration 50: (EM) log likelihood = -28883.293
Iteration 51: (EM) log likelihood = -28876.112
Iteration 52: (EM) log likelihood = -28868.321
Iteration 53: (EM) log likelihood = -28860.118
Iteration 54: (EM) log likelihood = -28851.56
Iteration 55: (EM) log likelihood = -28843.635
Iteration 56: (EM) log likelihood = -28835.258
Iteration 57: (EM) log likelihood = -28826.982
Iteration 58: (EM) log likelihood = -28818.776
Iteration 59: (EM) log likelihood = -28809.74
Iteration 60: (EM) log likelihood = -28801.708
Iteration 61: (EM) log likelihood = -28792.791
Iteration 62: (EM) log likelihood = -28784.272
Iteration 63: (EM) log likelihood = -28777.017
Iteration 64: (EM) log likelihood = -28768.817
Iteration 65: (EM) log likelihood = -28759.416
Iteration 66: (EM) log likelihood = -28750.799
Iteration 67: (EM) log likelihood = -28742.113
Iteration 68: (EM) log likelihood = -28734.282
Iteration 69: (EM) log likelihood = -28725.88
Iteration 70: (EM) log likelihood = -28716.755
Iteration 71: (EM) log likelihood = -28708.592
Iteration 72: (EM) log likelihood = -28699.642
Iteration 73: (EM) log likelihood = -28691.468
Iteration 74: (EM) log likelihood = -28683.613
Iteration 75: (EM) log likelihood = -28675.811
Iteration 76: (EM) log likelihood = -28668.827
Iteration 77: (EM) log likelihood = -28661.327
Iteration 78: (EM) log likelihood = -28653.599
Iteration 79: (EM) log likelihood = -28645.926
Iteration 80: (EM) log likelihood = -28638.042
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.0597
Iteration 1: (class) log likelihood = -5251.0597
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29962.688
Iteration 1: (outcome) log likelihood = -29308.732
Iteration 2: (outcome) log likelihood = -29165.714
Iteration 3: (outcome) log likelihood = -29141.485
Iteration 4: (outcome) log likelihood = -29137.056
Iteration 5: (outcome) log likelihood = -29136.066
Iteration 6: (outcome) log likelihood = -29135.833
Iteration 7: (outcome) log likelihood = -29135.781
Iteration 8: (outcome) log likelihood = -29135.769
Iteration 9: (outcome) log likelihood = -29135.768
Iteration 10: (outcome) log likelihood = -29135.767
Iteration 11: (outcome) log likelihood = -29135.767
Iteration 12: (outcome) log likelihood = -29135.767
Refining starting values:
Iteration 0: (EM) log likelihood = -34370.909
Iteration 1: (EM) log likelihood = -34304.596
Iteration 2: (EM) log likelihood = -34100.136
Iteration 3: (EM) log likelihood = -33641.369
Iteration 4: (EM) log likelihood = -32945.268
Iteration 5: (EM) log likelihood = -32162.216
Iteration 6: (EM) log likelihood = -31436.156
Iteration 7: (EM) log likelihood = -30821.855
Iteration 8: (EM) log likelihood = -30322.389
Iteration 9: (EM) log likelihood = -29942.467
Iteration 10: (EM) log likelihood = -29685.557
Iteration 11: (EM) log likelihood = -29530.105
Iteration 12: (EM) log likelihood = -29433.984
Iteration 13: (EM) log likelihood = -29366.495
Iteration 14: (EM) log likelihood = -29315.663
Iteration 15: (EM) log likelihood = -29273.301
Iteration 16: (EM) log likelihood = -29237.034
Iteration 17: (EM) log likelihood = -29205.947
Iteration 18: (EM) log likelihood = -29178.251
Iteration 19: (EM) log likelihood = -29153.156
Iteration 20: (EM) log likelihood = -29130.529
Iteration 21: (EM) log likelihood = -29109.442
Iteration 22: (EM) log likelihood = -29088.59
Iteration 23: (EM) log likelihood = -29069.362
Iteration 24: (EM) log likelihood = -29049.985
Iteration 25: (EM) log likelihood = -29030.734
Iteration 26: (EM) log likelihood = -29012.779
Iteration 27: (EM) log likelihood = -28995.497
Iteration 28: (EM) log likelihood = -28977.51
Iteration 29: (EM) log likelihood = -28960.266
Iteration 30: (EM) log likelihood = -28943.749
Iteration 31: (EM) log likelihood = -28927.562
Iteration 32: (EM) log likelihood = -28911.755
Iteration 33: (EM) log likelihood = -28896.599
Iteration 34: (EM) log likelihood = -28882.724
Iteration 35: (EM) log likelihood = -28871.228
Iteration 36: (EM) log likelihood = -28861.199
Iteration 37: (EM) log likelihood = -28852.789
Iteration 38: (EM) log likelihood = -28845.426
Iteration 39: (EM) log likelihood = -28838.969
Iteration 40: (EM) log likelihood = -28832.633
Iteration 41: (EM) log likelihood = -28826.336
Iteration 42: (EM) log likelihood = -28820.482
Iteration 43: (EM) log likelihood = -28814.304
Iteration 44: (EM) log likelihood = -28807.938
Iteration 45: (EM) log likelihood = -28801.578
Iteration 46: (EM) log likelihood = -28794.898
Iteration 47: (EM) log likelihood = -28788.411
Iteration 48: (EM) log likelihood = -28781.783
Iteration 49: (EM) log likelihood = -28774.889
Iteration 50: (EM) log likelihood = -28768.294
Iteration 51: (EM) log likelihood = -28761.517
Iteration 52: (EM) log likelihood = -28754.651
Iteration 53: (EM) log likelihood = -28747.779
Iteration 54: (EM) log likelihood = -28741.264
Iteration 55: (EM) log likelihood = -28734.244
Iteration 56: (EM) log likelihood = -28727.595
Iteration 57: (EM) log likelihood = -28720.664
Iteration 58: (EM) log likelihood = -28713.195
Iteration 59: (EM) log likelihood = -28706.523
Iteration 60: (EM) log likelihood = -28699.464
Iteration 61: (EM) log likelihood = -28692.345
Iteration 62: (EM) log likelihood = -28685.332
Iteration 63: (EM) log likelihood = -28677.803
Iteration 64: (EM) log likelihood = -28671.251
Iteration 65: (EM) log likelihood = -28664.575
Iteration 66: (EM) log likelihood = -28657.681
Iteration 67: (EM) log likelihood = -28651.278
Iteration 68: (EM) log likelihood = -28644.395
Iteration 69: (EM) log likelihood = -28637.819
Iteration 70: (EM) log likelihood = -28631.057
Iteration 71: (EM) log likelihood = -28623.712
Iteration 72: (EM) log likelihood = -28617.777
Iteration 73: (EM) log likelihood = -28610.319
Iteration 74: (EM) log likelihood = -28604.04
Iteration 75: (EM) log likelihood = -28597.509
Iteration 76: (EM) log likelihood = -28590.397
Iteration 77: (EM) log likelihood = -28584.227
Iteration 78: (EM) log likelihood = -28576.732
Iteration 79: (EM) log likelihood = -28568.92
Iteration 80: (EM) log likelihood = -28561.469
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5247.6222
Iteration 1: (class) log likelihood = -5247.6222
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29678.561
Iteration 1: (outcome) log likelihood = -29230.765
Iteration 2: (outcome) log likelihood = -29140.153
Iteration 3: (outcome) log likelihood = -29127.419
Iteration 4: (outcome) log likelihood = -29124.648
Iteration 5: (outcome) log likelihood = -29123.979
Iteration 6: (outcome) log likelihood = -29123.833
Iteration 7: (outcome) log likelihood = -29123.8
Iteration 8: (outcome) log likelihood = -29123.795
Iteration 9: (outcome) log likelihood = -29123.794
Iteration 10: (outcome) log likelihood = -29123.794
Iteration 11: (outcome) log likelihood = -29123.794
Refining starting values:
Iteration 0: (EM) log likelihood = -34347.354
Iteration 1: (EM) log likelihood = -34249.523
Iteration 2: (EM) log likelihood = -33907.782
Iteration 3: (EM) log likelihood = -33080.162
Iteration 4: (EM) log likelihood = -32045.921
Iteration 5: (EM) log likelihood = -31321.606
Iteration 6: (EM) log likelihood = -30863.093
Iteration 7: (EM) log likelihood = -30533.045
Iteration 8: (EM) log likelihood = -30285.362
Iteration 9: (EM) log likelihood = -30098.554
Iteration 10: (EM) log likelihood = -29957.901
Iteration 11: (EM) log likelihood = -29851.081
Iteration 12: (EM) log likelihood = -29767.434
Iteration 13: (EM) log likelihood = -29701.799
Iteration 14: (EM) log likelihood = -29647.525
Iteration 15: (EM) log likelihood = -29605.582
Iteration 16: (EM) log likelihood = -29571.921
Iteration 17: (EM) log likelihood = -29546.267
Iteration 18: (EM) log likelihood = -29525.652
Iteration 19: (EM) log likelihood = -29506.764
Iteration 20: (EM) log likelihood = -29489.613
Iteration 21: (EM) log likelihood = -29471.584
Iteration 22: (EM) log likelihood = -29451.268
Iteration 23: (EM) log likelihood = -29428.451
Iteration 24: (EM) log likelihood = -29402.445
Iteration 25: (EM) log likelihood = -29372.922
Iteration 26: (EM) log likelihood = -29342.36
Iteration 27: (EM) log likelihood = -29314.258
Iteration 28: (EM) log likelihood = -29288.85
Iteration 29: (EM) log likelihood = -29266.357
Iteration 30: (EM) log likelihood = -29246.519
Iteration 31: (EM) log likelihood = -29228.709
Iteration 32: (EM) log likelihood = -29212.55
Iteration 33: (EM) log likelihood = -29197.264
Iteration 34: (EM) log likelihood = -29182.355
Iteration 35: (EM) log likelihood = -29166.393
Iteration 36: (EM) log likelihood = -29149.371
Iteration 37: (EM) log likelihood = -29130.264
Iteration 38: (EM) log likelihood = -29108.856
Iteration 39: (EM) log likelihood = -29084.327
Iteration 40: (EM) log likelihood = -29057.271
Iteration 41: (EM) log likelihood = -29028.604
Iteration 42: (EM) log likelihood = -28999.254
Iteration 43: (EM) log likelihood = -28969.809
Iteration 44: (EM) log likelihood = -28941.515
Iteration 45: (EM) log likelihood = -28915.12
Iteration 46: (EM) log likelihood = -28889.484
Iteration 47: (EM) log likelihood = -28865.383
Iteration 48: (EM) log likelihood = -28843.355
Iteration 49: (EM) log likelihood = -28822.148
Iteration 50: (EM) log likelihood = -28802.664
Iteration 51: (EM) log likelihood = -28784.501
Iteration 52: (EM) log likelihood = -28767.817
Iteration 53: (EM) log likelihood = -28752.411
Iteration 54: (EM) log likelihood = -28738.234
Iteration 55: (EM) log likelihood = -28725.059
Iteration 56: (EM) log likelihood = -28713.063
Iteration 57: (EM) log likelihood = -28702.255
Iteration 58: (EM) log likelihood = -28692.161
Iteration 59: (EM) log likelihood = -28683.053
Iteration 60: (EM) log likelihood = -28674.522
Iteration 61: (EM) log likelihood = -28666.828
Iteration 62: (EM) log likelihood = -28659.837
Iteration 63: (EM) log likelihood = -28653.467
Iteration 64: (EM) log likelihood = -28647.466
Iteration 65: (EM) log likelihood = -28641.606
Iteration 66: (EM) log likelihood = -28636.291
Iteration 67: (EM) log likelihood = -28631.482
Iteration 68: (EM) log likelihood = -28626.993
Iteration 69: (EM) log likelihood = -28622.544
Iteration 70: (EM) log likelihood = -28618.38
Iteration 71: (EM) log likelihood = -28614.562
Iteration 72: (EM) log likelihood = -28610.908
Iteration 73: (EM) log likelihood = -28607.429
Iteration 74: (EM) log likelihood = -28604.234
Iteration 75: (EM) log likelihood = -28600.475
Iteration 76: (EM) log likelihood = -28597.525
Iteration 77: (EM) log likelihood = -28594.15
Iteration 78: (EM) log likelihood = -28590.984
Iteration 79: (EM) log likelihood = -28587.796
Iteration 80: (EM) log likelihood = -28584.922
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.094
Iteration 1: (class) log likelihood = -5252.094
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29143.718
Iteration 1: (outcome) log likelihood = -29143.718
Refining starting values:
Iteration 0: (EM) log likelihood = -34375.253
Iteration 1: (EM) log likelihood = -34288.52
Iteration 2: (EM) log likelihood = -33993.156
Iteration 3: (EM) log likelihood = -33275.755
Iteration 4: (EM) log likelihood = -32240.853
Iteration 5: (EM) log likelihood = -31320.372
Iteration 6: (EM) log likelihood = -30650.448
Iteration 7: (EM) log likelihood = -30178.133
Iteration 8: (EM) log likelihood = -29863.656
Iteration 9: (EM) log likelihood = -29652.326
Iteration 10: (EM) log likelihood = -29506.78
Iteration 11: (EM) log likelihood = -29405.329
Iteration 12: (EM) log likelihood = -29340.822
Iteration 13: (EM) log likelihood = -29297.86
Iteration 14: (EM) log likelihood = -29268.552
Iteration 15: (EM) log likelihood = -29246.138
Iteration 16: (EM) log likelihood = -29226.49
Iteration 17: (EM) log likelihood = -29209.175
Iteration 18: (EM) log likelihood = -29192.633
Iteration 19: (EM) log likelihood = -29176.622
Iteration 20: (EM) log likelihood = -29159.882
Iteration 21: (EM) log likelihood = -29141.65
Iteration 22: (EM) log likelihood = -29122.998
Iteration 23: (EM) log likelihood = -29102.133
Iteration 24: (EM) log likelihood = -29082.069
Iteration 25: (EM) log likelihood = -29060.476
Iteration 26: (EM) log likelihood = -29037.711
Iteration 27: (EM) log likelihood = -29015.589
Iteration 28: (EM) log likelihood = -28993.715
Iteration 29: (EM) log likelihood = -28971.79
Iteration 30: (EM) log likelihood = -28951.833
Iteration 31: (EM) log likelihood = -28931.065
Iteration 32: (EM) log likelihood = -28912.547
Iteration 33: (EM) log likelihood = -28895.544
Iteration 34: (EM) log likelihood = -28879.837
Iteration 35: (EM) log likelihood = -28866.184
Iteration 36: (EM) log likelihood = -28853.963
Iteration 37: (EM) log likelihood = -28843.167
Iteration 38: (EM) log likelihood = -28833.424
Iteration 39: (EM) log likelihood = -28824.906
Iteration 40: (EM) log likelihood = -28816.819
Iteration 41: (EM) log likelihood = -28809.625
Iteration 42: (EM) log likelihood = -28803.578
Iteration 43: (EM) log likelihood = -28797.961
Iteration 44: (EM) log likelihood = -28792.747
Iteration 45: (EM) log likelihood = -28787.817
Iteration 46: (EM) log likelihood = -28783.568
Iteration 47: (EM) log likelihood = -28777.267
Iteration 48: (EM) log likelihood = -28773.356
Iteration 49: (EM) log likelihood = -28769.493
Iteration 50: (EM) log likelihood = -28765.649
Iteration 51: (EM) log likelihood = -28761.879
Iteration 52: (EM) log likelihood = -28758.069
Iteration 53: (EM) log likelihood = -28754.131
Iteration 54: (EM) log likelihood = -28750.299
Iteration 55: (EM) log likelihood = -28746.452
Iteration 56: (EM) log likelihood = -28742.735
Iteration 57: (EM) log likelihood = -28739.169
Iteration 58: (EM) log likelihood = -28735.385
Iteration 59: (EM) log likelihood = -28731.66
Iteration 60: (EM) log likelihood = -28728.379
Iteration 61: (EM) log likelihood = -28724.489
Iteration 62: (EM) log likelihood = -28720.807
Iteration 63: (EM) log likelihood = -28717.154
Iteration 64: (EM) log likelihood = -28713.495
Iteration 65: (EM) log likelihood = -28710.191
Iteration 66: (EM) log likelihood = -28706.485
Iteration 67: (EM) log likelihood = -28702.541
Iteration 68: (EM) log likelihood = -28699.056
Iteration 69: (EM) log likelihood = -28695.054
Iteration 70: (EM) log likelihood = -28691.387
Iteration 71: (EM) log likelihood = -28687.775
Iteration 72: (EM) log likelihood = -28684.201
Iteration 73: (EM) log likelihood = -28680.621
Iteration 74: (EM) log likelihood = -28677.054
Iteration 75: (EM) log likelihood = -28673.723
Iteration 76: (EM) log likelihood = -28670.052
Iteration 77: (EM) log likelihood = -28666.579
Iteration 78: (EM) log likelihood = -28663.175
Iteration 79: (EM) log likelihood = -28659.596
Iteration 80: (EM) log likelihood = -28656.176
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.3647
Iteration 1: (class) log likelihood = -5251.3647
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29416.069
Iteration 1: (outcome) log likelihood = -29209.893
Iteration 2: (outcome) log likelihood = -29146.653
Iteration 3: (outcome) log likelihood = -29135.736
Iteration 4: (outcome) log likelihood = -29133.51
Iteration 5: (outcome) log likelihood = -29133.043
Iteration 6: (outcome) log likelihood = -29132.937
Iteration 7: (outcome) log likelihood = -29132.911
Iteration 8: (outcome) log likelihood = -29132.905
Iteration 9: (outcome) log likelihood = -29132.905
Iteration 10: (outcome) log likelihood = -29132.904
Iteration 11: (outcome) log likelihood = -29132.904
Iteration 12: (outcome) log likelihood = -29132.904
Refining starting values:
Iteration 0: (EM) log likelihood = -34375.101
Iteration 1: (EM) log likelihood = -34348.66
Iteration 2: (EM) log likelihood = -34288.904
Iteration 3: (EM) log likelihood = -34152.223
Iteration 4: (EM) log likelihood = -33839.632
Iteration 5: (EM) log likelihood = -33217.022
Iteration 6: (EM) log likelihood = -32261.165
Iteration 7: (EM) log likelihood = -31227.74
Iteration 8: (EM) log likelihood = -30494.193
Iteration 9: (EM) log likelihood = -30082.251
Iteration 10: (EM) log likelihood = -29870.727
Iteration 11: (EM) log likelihood = -29763.12
Iteration 12: (EM) log likelihood = -29700.57
Iteration 13: (EM) log likelihood = -29656.043
Iteration 14: (EM) log likelihood = -29614.629
Iteration 15: (EM) log likelihood = -29569.439
Iteration 16: (EM) log likelihood = -29519.465
Iteration 17: (EM) log likelihood = -29468.714
Iteration 18: (EM) log likelihood = -29421.393
Iteration 19: (EM) log likelihood = -29379.934
Iteration 20: (EM) log likelihood = -29344.612
Iteration 21: (EM) log likelihood = -29311.877
Iteration 22: (EM) log likelihood = -29283.4
Iteration 23: (EM) log likelihood = -29256.608
Iteration 24: (EM) log likelihood = -29232.015
Iteration 25: (EM) log likelihood = -29208.835
Iteration 26: (EM) log likelihood = -29185.5
Iteration 27: (EM) log likelihood = -29163.635
Iteration 28: (EM) log likelihood = -29140.431
Iteration 29: (EM) log likelihood = -29118.548
Iteration 30: (EM) log likelihood = -29098.107
Iteration 31: (EM) log likelihood = -29078.82
Iteration 32: (EM) log likelihood = -29061.712
Iteration 33: (EM) log likelihood = -29044.855
Iteration 34: (EM) log likelihood = -29028.871
Iteration 35: (EM) log likelihood = -29014.197
Iteration 36: (EM) log likelihood = -29002.823
Iteration 37: (EM) log likelihood = -28992.189
Iteration 38: (EM) log likelihood = -28982.584
Iteration 39: (EM) log likelihood = -28975.647
Iteration 40: (EM) log likelihood = -28967.862
Iteration 41: (EM) log likelihood = -28961.513
Iteration 42: (EM) log likelihood = -28957.19
Iteration 43: (EM) log likelihood = -28953.202
Iteration 44: (EM) log likelihood = -28950.741
Iteration 45: (EM) log likelihood = -28947.917
Iteration 46: (EM) log likelihood = -28944.344
Iteration 47: (EM) log likelihood = -28943.329
Iteration 48: (EM) log likelihood = -28942.495
Iteration 49: (EM) log likelihood = -28940.018
Iteration 50: (EM) log likelihood = -28938.761
Iteration 51: (EM) log likelihood = -28937.737
Iteration 52: (EM) log likelihood = -28935.008
Iteration 53: (EM) log likelihood = -28935.297
Iteration 54: (EM) log likelihood = -28935.415
Iteration 55: (EM) log likelihood = -28935.809
Iteration 56: (EM) log likelihood = -28934.927
Iteration 57: (EM) log likelihood = -28934.65
Iteration 58: (EM) log likelihood = -28934.88
Iteration 59: (EM) log likelihood = -28934.983
Iteration 60: (EM) log likelihood = -28935.856
Iteration 61: (EM) log likelihood = -28935.473
Iteration 62: (EM) log likelihood = -28935.181
Iteration 63: (EM) log likelihood = -28934.733
Iteration 64: (EM) log likelihood = -28935.502
Iteration 65: (EM) log likelihood = -28935.359
Iteration 66: (EM) log likelihood = -28935.479
Iteration 67: (EM) log likelihood = -28936.033
Iteration 68: (EM) log likelihood = -28935.763
Iteration 69: (EM) log likelihood = -28936.319
Iteration 70: (EM) log likelihood = -28936.036
Iteration 71: (EM) log likelihood = -28936.025
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.2641
Iteration 1: (class) log likelihood = -5252.2641
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29135.655
Iteration 1: (outcome) log likelihood = -29135.655
Refining starting values:
Iteration 0: (EM) log likelihood = -34370.099
Iteration 1: (EM) log likelihood = -34304.985
Iteration 2: (EM) log likelihood = -34050.054
Iteration 3: (EM) log likelihood = -33238.123
Iteration 4: (EM) log likelihood = -32030.342
Iteration 5: (EM) log likelihood = -31199.617
Iteration 6: (EM) log likelihood = -30674.708
Iteration 7: (EM) log likelihood = -30296.433
Iteration 8: (EM) log likelihood = -30033.139
Iteration 9: (EM) log likelihood = -29859.212
Iteration 10: (EM) log likelihood = -29745.559
Iteration 11: (EM) log likelihood = -29669.287
Iteration 12: (EM) log likelihood = -29616.313
Iteration 13: (EM) log likelihood = -29577.72
Iteration 14: (EM) log likelihood = -29548.856
Iteration 15: (EM) log likelihood = -29526.945
Iteration 16: (EM) log likelihood = -29509.705
Iteration 17: (EM) log likelihood = -29495.734
Iteration 18: (EM) log likelihood = -29483.954
Iteration 19: (EM) log likelihood = -29473.305
Iteration 20: (EM) log likelihood = -29463.271
Iteration 21: (EM) log likelihood = -29452.893
Iteration 22: (EM) log likelihood = -29442.218
Iteration 23: (EM) log likelihood = -29429.251
Iteration 24: (EM) log likelihood = -29414.038
Iteration 25: (EM) log likelihood = -29396.838
Iteration 26: (EM) log likelihood = -29374.997
Iteration 27: (EM) log likelihood = -29349.309
Iteration 28: (EM) log likelihood = -29318.294
Iteration 29: (EM) log likelihood = -29281.441
Iteration 30: (EM) log likelihood = -29240.377
Iteration 31: (EM) log likelihood = -29197.206
Iteration 32: (EM) log likelihood = -29154.318
Iteration 33: (EM) log likelihood = -29114.945
Iteration 34: (EM) log likelihood = -29081.878
Iteration 35: (EM) log likelihood = -29055.059
Iteration 36: (EM) log likelihood = -29033.554
Iteration 37: (EM) log likelihood = -29016.914
Iteration 38: (EM) log likelihood = -29003.965
Iteration 39: (EM) log likelihood = -28993.156
Iteration 40: (EM) log likelihood = -28984.754
Iteration 41: (EM) log likelihood = -28977.783
Iteration 42: (EM) log likelihood = -28971.544
Iteration 43: (EM) log likelihood = -28965.743
Iteration 44: (EM) log likelihood = -28960.693
Iteration 45: (EM) log likelihood = -28955.364
Iteration 46: (EM) log likelihood = -28950.557
Iteration 47: (EM) log likelihood = -28945.977
Iteration 48: (EM) log likelihood = -28941.264
Iteration 49: (EM) log likelihood = -28936.705
Iteration 50: (EM) log likelihood = -28932.559
Iteration 51: (EM) log likelihood = -28928.858
Iteration 52: (EM) log likelihood = -28924.376
Iteration 53: (EM) log likelihood = -28920.36
Iteration 54: (EM) log likelihood = -28916.303
Iteration 55: (EM) log likelihood = -28912.389
Iteration 56: (EM) log likelihood = -28908.462
Iteration 57: (EM) log likelihood = -28904.538
Iteration 58: (EM) log likelihood = -28900.564
Iteration 59: (EM) log likelihood = -28896.72
Iteration 60: (EM) log likelihood = -28893.512
Iteration 61: (EM) log likelihood = -28889.207
Iteration 62: (EM) log likelihood = -28885.284
Iteration 63: (EM) log likelihood = -28881.443
Iteration 64: (EM) log likelihood = -28877.403
Iteration 65: (EM) log likelihood = -28873.626
Iteration 66: (EM) log likelihood = -28869.507
Iteration 67: (EM) log likelihood = -28865.606
Iteration 68: (EM) log likelihood = -28861.635
Iteration 69: (EM) log likelihood = -28857.837
Iteration 70: (EM) log likelihood = -28853.864
Iteration 71: (EM) log likelihood = -28850.343
Iteration 72: (EM) log likelihood = -28846.442
Iteration 73: (EM) log likelihood = -28843.399
Iteration 74: (EM) log likelihood = -28839.504
Iteration 75: (EM) log likelihood = -28835.802
Iteration 76: (EM) log likelihood = -28832.303
Iteration 77: (EM) log likelihood = -28828.841
Iteration 78: (EM) log likelihood = -28825.104
Iteration 79: (EM) log likelihood = -28822.135
Iteration 80: (EM) log likelihood = -28819.199
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.7874
Iteration 1: (class) log likelihood = -5251.7874
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29134.929
Iteration 1: (outcome) log likelihood = -29134.929
Refining starting values:
Iteration 0: (EM) log likelihood = -34373.701
Iteration 1: (EM) log likelihood = -34323.309
Iteration 2: (EM) log likelihood = -34162.942
Iteration 3: (EM) log likelihood = -33694.915
Iteration 4: (EM) log likelihood = -32718.436
Iteration 5: (EM) log likelihood = -31602.792
Iteration 6: (EM) log likelihood = -30808.557
Iteration 7: (EM) log likelihood = -30275.215
Iteration 8: (EM) log likelihood = -29921.547
Iteration 9: (EM) log likelihood = -29692.137
Iteration 10: (EM) log likelihood = -29539.162
Iteration 11: (EM) log likelihood = -29436.319
Iteration 12: (EM) log likelihood = -29368.378
Iteration 13: (EM) log likelihood = -29324.806
Iteration 14: (EM) log likelihood = -29295.09
Iteration 15: (EM) log likelihood = -29273.449
Iteration 16: (EM) log likelihood = -29256.898
Iteration 17: (EM) log likelihood = -29241.818
Iteration 18: (EM) log likelihood = -29227.257
Iteration 19: (EM) log likelihood = -29211.634
Iteration 20: (EM) log likelihood = -29194.089
Iteration 21: (EM) log likelihood = -29173.863
Iteration 22: (EM) log likelihood = -29150.346
Iteration 23: (EM) log likelihood = -29122.972
Iteration 24: (EM) log likelihood = -29092.968
Iteration 25: (EM) log likelihood = -29061.451
Iteration 26: (EM) log likelihood = -29029.151
Iteration 27: (EM) log likelihood = -28996.963
Iteration 28: (EM) log likelihood = -28965.821
Iteration 29: (EM) log likelihood = -28936.615
Iteration 30: (EM) log likelihood = -28909.037
Iteration 31: (EM) log likelihood = -28882.665
Iteration 32: (EM) log likelihood = -28858.676
Iteration 33: (EM) log likelihood = -28836.385
Iteration 34: (EM) log likelihood = -28815.968
Iteration 35: (EM) log likelihood = -28797.013
Iteration 36: (EM) log likelihood = -28779.445
Iteration 37: (EM) log likelihood = -28763.305
Iteration 38: (EM) log likelihood = -28748.373
Iteration 39: (EM) log likelihood = -28734.058
Iteration 40: (EM) log likelihood = -28721.522
Iteration 41: (EM) log likelihood = -28709.634
Iteration 42: (EM) log likelihood = -28699.133
Iteration 43: (EM) log likelihood = -28689.543
Iteration 44: (EM) log likelihood = -28680.669
Iteration 45: (EM) log likelihood = -28672.531
Iteration 46: (EM) log likelihood = -28663.902
Iteration 47: (EM) log likelihood = -28657.167
Iteration 48: (EM) log likelihood = -28651.004
Iteration 49: (EM) log likelihood = -28645.328
Iteration 50: (EM) log likelihood = -28640.065
Iteration 51: (EM) log likelihood = -28635.081
Iteration 52: (EM) log likelihood = -28630.646
Iteration 53: (EM) log likelihood = -28626.248
Iteration 54: (EM) log likelihood = -28622.201
Iteration 55: (EM) log likelihood = -28618.34
Iteration 56: (EM) log likelihood = -28614.834
Iteration 57: (EM) log likelihood = -28611.435
Iteration 58: (EM) log likelihood = -28608.153
Iteration 59: (EM) log likelihood = -28605.197
Iteration 60: (EM) log likelihood = -28602.193
Iteration 61: (EM) log likelihood = -28599.289
Iteration 62: (EM) log likelihood = -28596.758
Iteration 63: (EM) log likelihood = -28594.275
Iteration 64: (EM) log likelihood = -28591.795
Iteration 65: (EM) log likelihood = -28589.308
Iteration 66: (EM) log likelihood = -28586.703
Iteration 67: (EM) log likelihood = -28584.185
Iteration 68: (EM) log likelihood = -28581.7
Iteration 69: (EM) log likelihood = -28579.193
Iteration 70: (EM) log likelihood = -28576.727
Iteration 71: (EM) log likelihood = -28574.128
Iteration 72: (EM) log likelihood = -28571.919
Iteration 73: (EM) log likelihood = -28569.235
Iteration 74: (EM) log likelihood = -28566.805
Iteration 75: (EM) log likelihood = -28564.417
Iteration 76: (EM) log likelihood = -28562.501
Iteration 77: (EM) log likelihood = -28560.128
Iteration 78: (EM) log likelihood = -28557.84
Iteration 79: (EM) log likelihood = -28555.647
Iteration 80: (EM) log likelihood = -28553.345
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.4936
Iteration 1: (class) log likelihood = -5252.4936
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29141.347
Iteration 1: (outcome) log likelihood = -29141.347
Refining starting values:
Iteration 0: (EM) log likelihood = -34371.157
Iteration 1: (EM) log likelihood = -34271.505
Iteration 2: (EM) log likelihood = -33915.054
Iteration 3: (EM) log likelihood = -33070.939
Iteration 4: (EM) log likelihood = -32020.098
Iteration 5: (EM) log likelihood = -31199.396
Iteration 6: (EM) log likelihood = -30605.965
Iteration 7: (EM) log likelihood = -30170.681
Iteration 8: (EM) log likelihood = -29862.373
Iteration 9: (EM) log likelihood = -29646.641
Iteration 10: (EM) log likelihood = -29499.47
Iteration 11: (EM) log likelihood = -29401.111
Iteration 12: (EM) log likelihood = -29333.601
Iteration 13: (EM) log likelihood = -29282.592
Iteration 14: (EM) log likelihood = -29238.824
Iteration 15: (EM) log likelihood = -29198.794
Iteration 16: (EM) log likelihood = -29160.937
Iteration 17: (EM) log likelihood = -29123.26
Iteration 18: (EM) log likelihood = -29086.588
Iteration 19: (EM) log likelihood = -29052.27
Iteration 20: (EM) log likelihood = -29020.162
Iteration 21: (EM) log likelihood = -28990.983
Iteration 22: (EM) log likelihood = -28964.764
Iteration 23: (EM) log likelihood = -28941.315
Iteration 24: (EM) log likelihood = -28920.277
Iteration 25: (EM) log likelihood = -28901.811
Iteration 26: (EM) log likelihood = -28885.161
Iteration 27: (EM) log likelihood = -28870.696
Iteration 28: (EM) log likelihood = -28857.991
Iteration 29: (EM) log likelihood = -28846.441
Iteration 30: (EM) log likelihood = -28835.932
Iteration 31: (EM) log likelihood = -28827.323
Iteration 32: (EM) log likelihood = -28819.333
Iteration 33: (EM) log likelihood = -28812.136
Iteration 34: (EM) log likelihood = -28805.505
Iteration 35: (EM) log likelihood = -28799.39
Iteration 36: (EM) log likelihood = -28793.784
Iteration 37: (EM) log likelihood = -28788.438
Iteration 38: (EM) log likelihood = -28783.72
Iteration 39: (EM) log likelihood = -28779.105
Iteration 40: (EM) log likelihood = -28774.788
Iteration 41: (EM) log likelihood = -28770.58
Iteration 42: (EM) log likelihood = -28766.558
Iteration 43: (EM) log likelihood = -28762.309
Iteration 44: (EM) log likelihood = -28758.129
Iteration 45: (EM) log likelihood = -28754.461
Iteration 46: (EM) log likelihood = -28750.722
Iteration 47: (EM) log likelihood = -28747.028
Iteration 48: (EM) log likelihood = -28743.377
Iteration 49: (EM) log likelihood = -28739.705
Iteration 50: (EM) log likelihood = -28735.849
Iteration 51: (EM) log likelihood = -28732.161
Iteration 52: (EM) log likelihood = -28728.377
Iteration 53: (EM) log likelihood = -28724.596
Iteration 54: (EM) log likelihood = -28720.77
Iteration 55: (EM) log likelihood = -28716.032
Iteration 56: (EM) log likelihood = -28712.25
Iteration 57: (EM) log likelihood = -28708.262
Iteration 58: (EM) log likelihood = -28704.336
Iteration 59: (EM) log likelihood = -28700.364
Iteration 60: (EM) log likelihood = -28696.209
Iteration 61: (EM) log likelihood = -28692.202
Iteration 62: (EM) log likelihood = -28688.251
Iteration 63: (EM) log likelihood = -28684.174
Iteration 64: (EM) log likelihood = -28680.394
Iteration 65: (EM) log likelihood = -28676.348
Iteration 66: (EM) log likelihood = -28672.319
Iteration 67: (EM) log likelihood = -28668.427
Iteration 68: (EM) log likelihood = -28664.687
Iteration 69: (EM) log likelihood = -28660.692
Iteration 70: (EM) log likelihood = -28656.897
Iteration 71: (EM) log likelihood = -28653.186
Iteration 72: (EM) log likelihood = -28649.372
Iteration 73: (EM) log likelihood = -28645.635
Iteration 74: (EM) log likelihood = -28641.788
Iteration 75: (EM) log likelihood = -28638.104
Iteration 76: (EM) log likelihood = -28634.683
Iteration 77: (EM) log likelihood = -28631.248
Iteration 78: (EM) log likelihood = -28627.672
Iteration 79: (EM) log likelihood = -28624.395
Iteration 80: (EM) log likelihood = -28621.182
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5250.9423
Iteration 1: (class) log likelihood = -5250.9423
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29145.43
Iteration 1: (outcome) log likelihood = -29145.43
Refining starting values:
Iteration 0: (EM) log likelihood = -34385.179
Iteration 1: (EM) log likelihood = -34330.472
Iteration 2: (EM) log likelihood = -34123.205
Iteration 3: (EM) log likelihood = -33504.126
Iteration 4: (EM) log likelihood = -32412.115
Iteration 5: (EM) log likelihood = -31416.565
Iteration 6: (EM) log likelihood = -30777.123
Iteration 7: (EM) log likelihood = -30341.886
Iteration 8: (EM) log likelihood = -30030.111
Iteration 9: (EM) log likelihood = -29800.562
Iteration 10: (EM) log likelihood = -29634.507
Iteration 11: (EM) log likelihood = -29521.009
Iteration 12: (EM) log likelihood = -29447.934
Iteration 13: (EM) log likelihood = -29400.523
Iteration 14: (EM) log likelihood = -29367.908
Iteration 15: (EM) log likelihood = -29344.437
Iteration 16: (EM) log likelihood = -29326
Iteration 17: (EM) log likelihood = -29310.121
Iteration 18: (EM) log likelihood = -29295.746
Iteration 19: (EM) log likelihood = -29282.217
Iteration 20: (EM) log likelihood = -29268.93
Iteration 21: (EM) log likelihood = -29255.85
Iteration 22: (EM) log likelihood = -29242.969
Iteration 23: (EM) log likelihood = -29229.604
Iteration 24: (EM) log likelihood = -29215.974
Iteration 25: (EM) log likelihood = -29201.687
Iteration 26: (EM) log likelihood = -29186.756
Iteration 27: (EM) log likelihood = -29171.099
Iteration 28: (EM) log likelihood = -29154.925
Iteration 29: (EM) log likelihood = -29137.355
Iteration 30: (EM) log likelihood = -29119.051
Iteration 31: (EM) log likelihood = -29100.017
Iteration 32: (EM) log likelihood = -29080.717
Iteration 33: (EM) log likelihood = -29061.355
Iteration 34: (EM) log likelihood = -29042.333
Iteration 35: (EM) log likelihood = -29023.616
Iteration 36: (EM) log likelihood = -29005.315
Iteration 37: (EM) log likelihood = -28987.601
Iteration 38: (EM) log likelihood = -28970.859
Iteration 39: (EM) log likelihood = -28954.033
Iteration 40: (EM) log likelihood = -28937.736
Iteration 41: (EM) log likelihood = -28922.578
Iteration 42: (EM) log likelihood = -28908.224
Iteration 43: (EM) log likelihood = -28895.148
Iteration 44: (EM) log likelihood = -28882.898
Iteration 45: (EM) log likelihood = -28873.036
Iteration 46: (EM) log likelihood = -28864.246
Iteration 47: (EM) log likelihood = -28856.702
Iteration 48: (EM) log likelihood = -28850.479
Iteration 49: (EM) log likelihood = -28845.007
Iteration 50: (EM) log likelihood = -28840.366
Iteration 51: (EM) log likelihood = -28836.283
Iteration 52: (EM) log likelihood = -28833.056
Iteration 53: (EM) log likelihood = -28829.818
Iteration 54: (EM) log likelihood = -28827.532
Iteration 55: (EM) log likelihood = -28825.558
Iteration 56: (EM) log likelihood = -28823.205
Iteration 57: (EM) log likelihood = -28821.056
Iteration 58: (EM) log likelihood = -28819.215
Iteration 59: (EM) log likelihood = -28817.386
Iteration 60: (EM) log likelihood = -28815.601
Iteration 61: (EM) log likelihood = -28813.727
Iteration 62: (EM) log likelihood = -28811.929
Iteration 63: (EM) log likelihood = -28810.283
Iteration 64: (EM) log likelihood = -28808.499
Iteration 65: (EM) log likelihood = -28806.959
Iteration 66: (EM) log likelihood = -28805.249
Iteration 67: (EM) log likelihood = -28803.829
Iteration 68: (EM) log likelihood = -28801.708
Iteration 69: (EM) log likelihood = -28799.487
Iteration 70: (EM) log likelihood = -28797.268
Iteration 71: (EM) log likelihood = -28794.493
Iteration 72: (EM) log likelihood = -28791.958
Iteration 73: (EM) log likelihood = -28789.613
Iteration 74: (EM) log likelihood = -28787.151
Iteration 75: (EM) log likelihood = -28784.813
Iteration 76: (EM) log likelihood = -28782.258
Iteration 77: (EM) log likelihood = -28779.566
Iteration 78: (EM) log likelihood = -28777.023
Iteration 79: (EM) log likelihood = -28774.262
Iteration 80: (EM) log likelihood = -28771.464
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5245.3385
Iteration 1: (class) log likelihood = -5245.3385
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29137.547
Iteration 1: (outcome) log likelihood = -29137.547
Refining starting values:
Iteration 0: (EM) log likelihood = -34380.07
Iteration 1: (EM) log likelihood = -34364.132
Iteration 2: (EM) log likelihood = -34326.808
Iteration 3: (EM) log likelihood = -34249.308
Iteration 4: (EM) log likelihood = -34095.729
Iteration 5: (EM) log likelihood = -33803.959
Iteration 6: (EM) log likelihood = -33269.723
Iteration 7: (EM) log likelihood = -32415.125
Iteration 8: (EM) log likelihood = -31417.336
Iteration 9: (EM) log likelihood = -30548.64
Iteration 10: (EM) log likelihood = -29964.194
Iteration 11: (EM) log likelihood = -29631.065
Iteration 12: (EM) log likelihood = -29456.786
Iteration 13: (EM) log likelihood = -29360.923
Iteration 14: (EM) log likelihood = -29299.683
Iteration 15: (EM) log likelihood = -29255.019
Iteration 16: (EM) log likelihood = -29220.445
Iteration 17: (EM) log likelihood = -29194.119
Iteration 18: (EM) log likelihood = -29174.131
Iteration 19: (EM) log likelihood = -29158.753
Iteration 20: (EM) log likelihood = -29145.967
Iteration 21: (EM) log likelihood = -29136.263
Iteration 22: (EM) log likelihood = -29129.946
Iteration 23: (EM) log likelihood = -29124.476
Iteration 24: (EM) log likelihood = -29119.399
Iteration 25: (EM) log likelihood = -29114.495
Iteration 26: (EM) log likelihood = -29109.034
Iteration 27: (EM) log likelihood = -29103.647
Iteration 28: (EM) log likelihood = -29097.435
Iteration 29: (EM) log likelihood = -29090.016
Iteration 30: (EM) log likelihood = -29081.911
Iteration 31: (EM) log likelihood = -29073.205
Iteration 32: (EM) log likelihood = -29063.455
Iteration 33: (EM) log likelihood = -29053.198
Iteration 34: (EM) log likelihood = -29040.587
Iteration 35: (EM) log likelihood = -29028.49
Iteration 36: (EM) log likelihood = -29015.183
Iteration 37: (EM) log likelihood = -29002.349
Iteration 38: (EM) log likelihood = -28991.144
Iteration 39: (EM) log likelihood = -28981.599
Iteration 40: (EM) log likelihood = -28970.208
Iteration 41: (EM) log likelihood = -28958.17
Iteration 42: (EM) log likelihood = -28946.874
Iteration 43: (EM) log likelihood = -28937.499
Iteration 44: (EM) log likelihood = -28926.376
Iteration 45: (EM) log likelihood = -28918.051
Iteration 46: (EM) log likelihood = -28907.424
Iteration 47: (EM) log likelihood = -28897.413
Iteration 48: (EM) log likelihood = -28886.047
Iteration 49: (EM) log likelihood = -28877.844
Iteration 50: (EM) log likelihood = -28865.642
Iteration 51: (EM) log likelihood = -28854.437
Iteration 52: (EM) log likelihood = -28843.091
Iteration 53: (EM) log likelihood = -28832.791
Iteration 54: (EM) log likelihood = -28821.696
Iteration 55: (EM) log likelihood = -28810.497
Iteration 56: (EM) log likelihood = -28799.259
Iteration 57: (EM) log likelihood = -28788.92
Iteration 58: (EM) log likelihood = -28777.759
Iteration 59: (EM) log likelihood = -28766.992
Iteration 60: (EM) log likelihood = -28755.649
Iteration 61: (EM) log likelihood = -28744.958
Iteration 62: (EM) log likelihood = -28733.848
Iteration 63: (EM) log likelihood = -28723.868
Iteration 64: (EM) log likelihood = -28712.622
Iteration 65: (EM) log likelihood = -28702.748
Iteration 66: (EM) log likelihood = -28692.846
Iteration 67: (EM) log likelihood = -28682.987
Iteration 68: (EM) log likelihood = -28673.561
Iteration 69: (EM) log likelihood = -28663.291
Iteration 70: (EM) log likelihood = -28653.641
Iteration 71: (EM) log likelihood = -28643.837
Iteration 72: (EM) log likelihood = -28634.849
Iteration 73: (EM) log likelihood = -28626.225
Iteration 74: (EM) log likelihood = -28616.961
Iteration 75: (EM) log likelihood = -28609.491
Iteration 76: (EM) log likelihood = -28601.344
Iteration 77: (EM) log likelihood = -28593.294
Iteration 78: (EM) log likelihood = -28585.491
Iteration 79: (EM) log likelihood = -28576.627
Iteration 80: (EM) log likelihood = -28569.494
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.5348
Iteration 1: (class) log likelihood = -5251.5348
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29145.178
Iteration 1: (outcome) log likelihood = -29145.178
Refining starting values:
Iteration 0: (EM) log likelihood = -34391.108
Iteration 1: (EM) log likelihood = -34361.837
Iteration 2: (EM) log likelihood = -34252.049
Iteration 3: (EM) log likelihood = -33877.877
Iteration 4: (EM) log likelihood = -33001.457
Iteration 5: (EM) log likelihood = -31952.297
Iteration 6: (EM) log likelihood = -31242.796
Iteration 7: (EM) log likelihood = -30801.475
Iteration 8: (EM) log likelihood = -30479.899
Iteration 9: (EM) log likelihood = -30225.346
Iteration 10: (EM) log likelihood = -30003.866
Iteration 11: (EM) log likelihood = -29792.399
Iteration 12: (EM) log likelihood = -29591.6
Iteration 13: (EM) log likelihood = -29423.761
Iteration 14: (EM) log likelihood = -29306.392
Iteration 15: (EM) log likelihood = -29227.839
Iteration 16: (EM) log likelihood = -29178.453
Iteration 17: (EM) log likelihood = -29143.045
Iteration 18: (EM) log likelihood = -29115.524
Iteration 19: (EM) log likelihood = -29094.525
Iteration 20: (EM) log likelihood = -29076.009
Iteration 21: (EM) log likelihood = -29059.167
Iteration 22: (EM) log likelihood = -29043.641
Iteration 23: (EM) log likelihood = -29030.939
Iteration 24: (EM) log likelihood = -29018.543
Iteration 25: (EM) log likelihood = -29005.848
Iteration 26: (EM) log likelihood = -28994.591
Iteration 27: (EM) log likelihood = -28983.978
Iteration 28: (EM) log likelihood = -28971.856
Iteration 29: (EM) log likelihood = -28959.844
Iteration 30: (EM) log likelihood = -28949.268
Iteration 31: (EM) log likelihood = -28940.002
Iteration 32: (EM) log likelihood = -28929.045
Iteration 33: (EM) log likelihood = -28918.556
Iteration 34: (EM) log likelihood = -28909.002
Iteration 35: (EM) log likelihood = -28898.435
Iteration 36: (EM) log likelihood = -28888.08
Iteration 37: (EM) log likelihood = -28875.607
Iteration 38: (EM) log likelihood = -28863.731
Iteration 39: (EM) log likelihood = -28852.974
Iteration 40: (EM) log likelihood = -28842.383
Iteration 41: (EM) log likelihood = -28830.726
Iteration 42: (EM) log likelihood = -28819.559
Iteration 43: (EM) log likelihood = -28807.747
Iteration 44: (EM) log likelihood = -28798.02
Iteration 45: (EM) log likelihood = -28786.295
Iteration 46: (EM) log likelihood = -28775.565
Iteration 47: (EM) log likelihood = -28767.743
Iteration 48: (EM) log likelihood = -28756.814
Iteration 49: (EM) log likelihood = -28744.991
Iteration 50: (EM) log likelihood = -28733.911
Iteration 51: (EM) log likelihood = -28723.273
Iteration 52: (EM) log likelihood = -28712.49
Iteration 53: (EM) log likelihood = -28701.601
Iteration 54: (EM) log likelihood = -28690.826
Iteration 55: (EM) log likelihood = -28680.151
Iteration 56: (EM) log likelihood = -28668.385
Iteration 57: (EM) log likelihood = -28657.296
Iteration 58: (EM) log likelihood = -28647.038
Iteration 59: (EM) log likelihood = -28636.323
Iteration 60: (EM) log likelihood = -28625.434
Iteration 61: (EM) log likelihood = -28614.723
Iteration 62: (EM) log likelihood = -28605
Iteration 63: (EM) log likelihood = -28595.106
Iteration 64: (EM) log likelihood = -28586.721
Iteration 65: (EM) log likelihood = -28577.263
Iteration 66: (EM) log likelihood = -28567.569
Iteration 67: (EM) log likelihood = -28557.801
Iteration 68: (EM) log likelihood = -28548.093
Iteration 69: (EM) log likelihood = -28539.68
Iteration 70: (EM) log likelihood = -28530.478
Iteration 71: (EM) log likelihood = -28522.193
Iteration 72: (EM) log likelihood = -28514.215
Iteration 73: (EM) log likelihood = -28506.475
Iteration 74: (EM) log likelihood = -28498.487
Iteration 75: (EM) log likelihood = -28491.016
Iteration 76: (EM) log likelihood = -28483.498
Iteration 77: (EM) log likelihood = -28476.14
Iteration 78: (EM) log likelihood = -28469.4
Iteration 79: (EM) log likelihood = -28460.994
Iteration 80: (EM) log likelihood = -28454.223
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.4141
Iteration 1: (class) log likelihood = -5252.4141
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29139.593
Iteration 1: (outcome) log likelihood = -29139.593
Refining starting values:
Iteration 0: (EM) log likelihood = -34383.456
Iteration 1: (EM) log likelihood = -34355.741
Iteration 2: (EM) log likelihood = -34279.927
Iteration 3: (EM) log likelihood = -34087.781
Iteration 4: (EM) log likelihood = -33697.887
Iteration 5: (EM) log likelihood = -33130.725
Iteration 6: (EM) log likelihood = -32440.321
Iteration 7: (EM) log likelihood = -31602.488
Iteration 8: (EM) log likelihood = -30718.024
Iteration 9: (EM) log likelihood = -30037.583
Iteration 10: (EM) log likelihood = -29617.154
Iteration 11: (EM) log likelihood = -29378.709
Iteration 12: (EM) log likelihood = -29247.551
Iteration 13: (EM) log likelihood = -29164.081
Iteration 14: (EM) log likelihood = -29095.15
Iteration 15: (EM) log likelihood = -29039.394
Iteration 16: (EM) log likelihood = -28990.844
Iteration 17: (EM) log likelihood = -28951.87
Iteration 18: (EM) log likelihood = -28918.69
Iteration 19: (EM) log likelihood = -28889.19
Iteration 20: (EM) log likelihood = -28866.244
Iteration 21: (EM) log likelihood = -28846.451
Iteration 22: (EM) log likelihood = -28829.279
Iteration 23: (EM) log likelihood = -28813.655
Iteration 24: (EM) log likelihood = -28799.907
Iteration 25: (EM) log likelihood = -28787.831
Iteration 26: (EM) log likelihood = -28777.76
Iteration 27: (EM) log likelihood = -28768.203
Iteration 28: (EM) log likelihood = -28759.221
Iteration 29: (EM) log likelihood = -28751.855
Iteration 30: (EM) log likelihood = -28744.63
Iteration 31: (EM) log likelihood = -28738.562
Iteration 32: (EM) log likelihood = -28732.132
Iteration 33: (EM) log likelihood = -28726.16
Iteration 34: (EM) log likelihood = -28720.015
Iteration 35: (EM) log likelihood = -28713.619
Iteration 36: (EM) log likelihood = -28707.474
Iteration 37: (EM) log likelihood = -28700.64
Iteration 38: (EM) log likelihood = -28693.569
Iteration 39: (EM) log likelihood = -28686.369
Iteration 40: (EM) log likelihood = -28678.681
Iteration 41: (EM) log likelihood = -28670.524
Iteration 42: (EM) log likelihood = -28662.357
Iteration 43: (EM) log likelihood = -28653.803
Iteration 44: (EM) log likelihood = -28645.001
Iteration 45: (EM) log likelihood = -28635.659
Iteration 46: (EM) log likelihood = -28626.1
Iteration 47: (EM) log likelihood = -28616.083
Iteration 48: (EM) log likelihood = -28606.343
Iteration 49: (EM) log likelihood = -28596.433
Iteration 50: (EM) log likelihood = -28587.428
Iteration 51: (EM) log likelihood = -28577.244
Iteration 52: (EM) log likelihood = -28567.055
Iteration 53: (EM) log likelihood = -28556.916
Iteration 54: (EM) log likelihood = -28546.121
Iteration 55: (EM) log likelihood = -28535.98
Iteration 56: (EM) log likelihood = -28525.791
Iteration 57: (EM) log likelihood = -28515.699
Iteration 58: (EM) log likelihood = -28505.518
Iteration 59: (EM) log likelihood = -28495.389
Iteration 60: (EM) log likelihood = -28484.389
Iteration 61: (EM) log likelihood = -28474.7
Iteration 62: (EM) log likelihood = -28465.229
Iteration 63: (EM) log likelihood = -28455.098
Iteration 64: (EM) log likelihood = -28445.517
Iteration 65: (EM) log likelihood = -28436.027
Iteration 66: (EM) log likelihood = -28426.75
Iteration 67: (EM) log likelihood = -28417.514
Iteration 68: (EM) log likelihood = -28408.384
Iteration 69: (EM) log likelihood = -28399.736
Iteration 70: (EM) log likelihood = -28391.551
Iteration 71: (EM) log likelihood = -28383.069
Iteration 72: (EM) log likelihood = -28374.952
Iteration 73: (EM) log likelihood = -28366.845
Iteration 74: (EM) log likelihood = -28358.905
Iteration 75: (EM) log likelihood = -28351.098
Iteration 76: (EM) log likelihood = -28343.482
Iteration 77: (EM) log likelihood = -28336.006
Iteration 78: (EM) log likelihood = -28328.889
Iteration 79: (EM) log likelihood = -28322.052
Iteration 80: (EM) log likelihood = -28314.869
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.3265
Iteration 1: (class) log likelihood = -5251.3265
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29667.215
Iteration 1: (outcome) log likelihood = -29214.699
Iteration 2: (outcome) log likelihood = -29132.636
Iteration 3: (outcome) log likelihood = -29120.417
Iteration 4: (outcome) log likelihood = -29117.441
Iteration 5: (outcome) log likelihood = -29116.83
Iteration 6: (outcome) log likelihood = -29116.701
Iteration 7: (outcome) log likelihood = -29116.672
Iteration 8: (outcome) log likelihood = -29116.665
Iteration 9: (outcome) log likelihood = -29116.663
Iteration 10: (outcome) log likelihood = -29116.663
Iteration 11: (outcome) log likelihood = -29116.663
Iteration 12: (outcome) log likelihood = -29116.663
Refining starting values:
Iteration 0: (EM) log likelihood = -34310.15
Iteration 1: (EM) log likelihood = -34090.719
Iteration 2: (EM) log likelihood = -33454.722
Iteration 3: (EM) log likelihood = -32349.439
Iteration 4: (EM) log likelihood = -31324.757
Iteration 5: (EM) log likelihood = -30663.737
Iteration 6: (EM) log likelihood = -30255.324
Iteration 7: (EM) log likelihood = -29997.47
Iteration 8: (EM) log likelihood = -29822.885
Iteration 9: (EM) log likelihood = -29697.332
Iteration 10: (EM) log likelihood = -29604.6
Iteration 11: (EM) log likelihood = -29535.962
Iteration 12: (EM) log likelihood = -29483.673
Iteration 13: (EM) log likelihood = -29442.855
Iteration 14: (EM) log likelihood = -29410.854
Iteration 15: (EM) log likelihood = -29385.56
Iteration 16: (EM) log likelihood = -29365.387
Iteration 17: (EM) log likelihood = -29348.91
Iteration 18: (EM) log likelihood = -29335.545
Iteration 19: (EM) log likelihood = -29324.176
Iteration 20: (EM) log likelihood = -29314.559
Iteration 21: (EM) log likelihood = -29306.392
Iteration 22: (EM) log likelihood = -29299.549
Iteration 23: (EM) log likelihood = -29292.566
Iteration 24: (EM) log likelihood = -29286.005
Iteration 25: (EM) log likelihood = -29278.806
Iteration 26: (EM) log likelihood = -29271.833
Iteration 27: (EM) log likelihood = -29264.862
Iteration 28: (EM) log likelihood = -29257.169
Iteration 29: (EM) log likelihood = -29249.482
Iteration 30: (EM) log likelihood = -29241.877
Iteration 31: (EM) log likelihood = -29231.854
Iteration 32: (EM) log likelihood = -29222.273
Iteration 33: (EM) log likelihood = -29212.395
Iteration 34: (EM) log likelihood = -29200.581
Iteration 35: (EM) log likelihood = -29189.733
Iteration 36: (EM) log likelihood = -29176.881
Iteration 37: (EM) log likelihood = -29162.202
Iteration 38: (EM) log likelihood = -29147.025
Iteration 39: (EM) log likelihood = -29132.405
Iteration 40: (EM) log likelihood = -29117.766
Iteration 41: (EM) log likelihood = -29099.465
Iteration 42: (EM) log likelihood = -29081.537
Iteration 43: (EM) log likelihood = -29061.97
Iteration 44: (EM) log likelihood = -29043.961
Iteration 45: (EM) log likelihood = -29026.265
Iteration 46: (EM) log likelihood = -29010.053
Iteration 47: (EM) log likelihood = -28996.163
Iteration 48: (EM) log likelihood = -28983.91
Iteration 49: (EM) log likelihood = -28973.706
Iteration 50: (EM) log likelihood = -28965.051
Iteration 51: (EM) log likelihood = -28957.41
Iteration 52: (EM) log likelihood = -28950.297
Iteration 53: (EM) log likelihood = -28943.003
Iteration 54: (EM) log likelihood = -28937.506
Iteration 55: (EM) log likelihood = -28931.727
Iteration 56: (EM) log likelihood = -28925.841
Iteration 57: (EM) log likelihood = -28922.37
Iteration 58: (EM) log likelihood = -28918.171
Iteration 59: (EM) log likelihood = -28914.525
Iteration 60: (EM) log likelihood = -28910.716
Iteration 61: (EM) log likelihood = -28906.769
Iteration 62: (EM) log likelihood = -28901.144
Iteration 63: (EM) log likelihood = -28902.364
Iteration 64: (EM) log likelihood = -28897.264
Iteration 65: (EM) log likelihood = -28892.414
Iteration 66: (EM) log likelihood = -28887.411
Iteration 67: (EM) log likelihood = -28882.017
Iteration 68: (EM) log likelihood = -28877.267
Iteration 69: (EM) log likelihood = -28874.114
Iteration 70: (EM) log likelihood = -28868.197
Iteration 71: (EM) log likelihood = -28864.7
Iteration 72: (EM) log likelihood = -28859.693
Iteration 73: (EM) log likelihood = -28855.355
Iteration 74: (EM) log likelihood = -28850.427
Iteration 75: (EM) log likelihood = -28845.429
Iteration 76: (EM) log likelihood = -28841.997
Iteration 77: (EM) log likelihood = -28837.146
Iteration 78: (EM) log likelihood = -28832.412
Iteration 79: (EM) log likelihood = -28828.542
Iteration 80: (EM) log likelihood = -28824.011
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.6852
Iteration 1: (class) log likelihood = -5251.6852
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29143.995
Iteration 1: (outcome) log likelihood = -29143.995
Refining starting values:
Iteration 0: (EM) log likelihood = -34382.171
Iteration 1: (EM) log likelihood = -34330.21
Iteration 2: (EM) log likelihood = -34147.002
Iteration 3: (EM) log likelihood = -33640.058
Iteration 4: (EM) log likelihood = -32770.021
Iteration 5: (EM) log likelihood = -31879.249
Iteration 6: (EM) log likelihood = -31205.069
Iteration 7: (EM) log likelihood = -30732.384
Iteration 8: (EM) log likelihood = -30413.046
Iteration 9: (EM) log likelihood = -30195.129
Iteration 10: (EM) log likelihood = -30028.464
Iteration 11: (EM) log likelihood = -29888.317
Iteration 12: (EM) log likelihood = -29763.4
Iteration 13: (EM) log likelihood = -29651.204
Iteration 14: (EM) log likelihood = -29552.115
Iteration 15: (EM) log likelihood = -29462.527
Iteration 16: (EM) log likelihood = -29385.365
Iteration 17: (EM) log likelihood = -29317.75
Iteration 18: (EM) log likelihood = -29257.052
Iteration 19: (EM) log likelihood = -29202.744
Iteration 20: (EM) log likelihood = -29152.01
Iteration 21: (EM) log likelihood = -29107.588
Iteration 22: (EM) log likelihood = -29065.581
Iteration 23: (EM) log likelihood = -29030.252
Iteration 24: (EM) log likelihood = -28998.358
Iteration 25: (EM) log likelihood = -28970.697
Iteration 26: (EM) log likelihood = -28946.106
Iteration 27: (EM) log likelihood = -28924.021
Iteration 28: (EM) log likelihood = -28904.466
Iteration 29: (EM) log likelihood = -28886.174
Iteration 30: (EM) log likelihood = -28869.966
Iteration 31: (EM) log likelihood = -28854.9
Iteration 32: (EM) log likelihood = -28840.78
Iteration 33: (EM) log likelihood = -28827.229
Iteration 34: (EM) log likelihood = -28813.885
Iteration 35: (EM) log likelihood = -28800.947
Iteration 36: (EM) log likelihood = -28788.666
Iteration 37: (EM) log likelihood = -28776.482
Iteration 38: (EM) log likelihood = -28764.65
Iteration 39: (EM) log likelihood = -28752.756
Iteration 40: (EM) log likelihood = -28741.076
Iteration 41: (EM) log likelihood = -28728.687
Iteration 42: (EM) log likelihood = -28717.166
Iteration 43: (EM) log likelihood = -28706.002
Iteration 44: (EM) log likelihood = -28694.98
Iteration 45: (EM) log likelihood = -28684.102
Iteration 46: (EM) log likelihood = -28673.683
Iteration 47: (EM) log likelihood = -28663.528
Iteration 48: (EM) log likelihood = -28653.629
Iteration 49: (EM) log likelihood = -28642.685
Iteration 50: (EM) log likelihood = -28633.273
Iteration 51: (EM) log likelihood = -28624.092
Iteration 52: (EM) log likelihood = -28615.176
Iteration 53: (EM) log likelihood = -28606.59
Iteration 54: (EM) log likelihood = -28598.363
Iteration 55: (EM) log likelihood = -28590.49
Iteration 56: (EM) log likelihood = -28582.861
Iteration 57: (EM) log likelihood = -28575.509
Iteration 58: (EM) log likelihood = -28568.385
Iteration 59: (EM) log likelihood = -28561.591
Iteration 60: (EM) log likelihood = -28555.43
Iteration 61: (EM) log likelihood = -28548.823
Iteration 62: (EM) log likelihood = -28541.875
Iteration 63: (EM) log likelihood = -28535.863
Iteration 64: (EM) log likelihood = -28529.809
Iteration 65: (EM) log likelihood = -28524.008
Iteration 66: (EM) log likelihood = -28518.817
Iteration 67: (EM) log likelihood = -28513.576
Iteration 68: (EM) log likelihood = -28508.378
Iteration 69: (EM) log likelihood = -28503.42
Iteration 70: (EM) log likelihood = -28498.597
Iteration 71: (EM) log likelihood = -28493.673
Iteration 72: (EM) log likelihood = -28488.941
Iteration 73: (EM) log likelihood = -28484.1
Iteration 74: (EM) log likelihood = -28479.599
Iteration 75: (EM) log likelihood = -28475.47
Iteration 76: (EM) log likelihood = -28471.446
Iteration 77: (EM) log likelihood = -28466.885
Iteration 78: (EM) log likelihood = -28463.065
Iteration 79: (EM) log likelihood = -28459.032
Iteration 80: (EM) log likelihood = -28455.69
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.2879
Iteration 1: (class) log likelihood = -5252.2879
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29143.621
Iteration 1: (outcome) log likelihood = -29143.621
Refining starting values:
Iteration 0: (EM) log likelihood = -34385.645
Iteration 1: (EM) log likelihood = -34342.035
Iteration 2: (EM) log likelihood = -34176.603
Iteration 3: (EM) log likelihood = -33647.913
Iteration 4: (EM) log likelihood = -32654.051
Iteration 5: (EM) log likelihood = -31685.521
Iteration 6: (EM) log likelihood = -31002.548
Iteration 7: (EM) log likelihood = -30522.026
Iteration 8: (EM) log likelihood = -30178.335
Iteration 9: (EM) log likelihood = -29927.403
Iteration 10: (EM) log likelihood = -29731.314
Iteration 11: (EM) log likelihood = -29575.207
Iteration 12: (EM) log likelihood = -29455.897
Iteration 13: (EM) log likelihood = -29371.532
Iteration 14: (EM) log likelihood = -29312.755
Iteration 15: (EM) log likelihood = -29271.673
Iteration 16: (EM) log likelihood = -29241.481
Iteration 17: (EM) log likelihood = -29216.269
Iteration 18: (EM) log likelihood = -29195.016
Iteration 19: (EM) log likelihood = -29176.669
Iteration 20: (EM) log likelihood = -29160.615
Iteration 21: (EM) log likelihood = -29143.967
Iteration 22: (EM) log likelihood = -29129.745
Iteration 23: (EM) log likelihood = -29113.078
Iteration 24: (EM) log likelihood = -29100.564
Iteration 25: (EM) log likelihood = -29086.47
Iteration 26: (EM) log likelihood = -29073.294
Iteration 27: (EM) log likelihood = -29061.309
Iteration 28: (EM) log likelihood = -29047.333
Iteration 29: (EM) log likelihood = -29035.316
Iteration 30: (EM) log likelihood = -29023.28
Iteration 31: (EM) log likelihood = -29011.395
Iteration 32: (EM) log likelihood = -28999.835
Iteration 33: (EM) log likelihood = -28988.804
Iteration 34: (EM) log likelihood = -28977.617
Iteration 35: (EM) log likelihood = -28966.004
Iteration 36: (EM) log likelihood = -28955.406
Iteration 37: (EM) log likelihood = -28943.447
Iteration 38: (EM) log likelihood = -28930.238
Iteration 39: (EM) log likelihood = -28919.001
Iteration 40: (EM) log likelihood = -28908.596
Iteration 41: (EM) log likelihood = -28897.91
Iteration 42: (EM) log likelihood = -28887.458
Iteration 43: (EM) log likelihood = -28875.622
Iteration 44: (EM) log likelihood = -28866.306
Iteration 45: (EM) log likelihood = -28856.699
Iteration 46: (EM) log likelihood = -28845.794
Iteration 47: (EM) log likelihood = -28835.867
Iteration 48: (EM) log likelihood = -28825.127
Iteration 49: (EM) log likelihood = -28813.82
Iteration 50: (EM) log likelihood = -28802.716
Iteration 51: (EM) log likelihood = -28791.129
Iteration 52: (EM) log likelihood = -28780.803
Iteration 53: (EM) log likelihood = -28770.058
Iteration 54: (EM) log likelihood = -28759.638
Iteration 55: (EM) log likelihood = -28749.254
Iteration 56: (EM) log likelihood = -28737.303
Iteration 57: (EM) log likelihood = -28726.566
Iteration 58: (EM) log likelihood = -28715.793
Iteration 59: (EM) log likelihood = -28704.656
Iteration 60: (EM) log likelihood = -28694.912
Iteration 61: (EM) log likelihood = -28684.698
Iteration 62: (EM) log likelihood = -28673.87
Iteration 63: (EM) log likelihood = -28664.937
Iteration 64: (EM) log likelihood = -28655.675
Iteration 65: (EM) log likelihood = -28644.961
Iteration 66: (EM) log likelihood = -28635.173
Iteration 67: (EM) log likelihood = -28625.09
Iteration 68: (EM) log likelihood = -28615.438
Iteration 69: (EM) log likelihood = -28605.62
Iteration 70: (EM) log likelihood = -28595.701
Iteration 71: (EM) log likelihood = -28586.847
Iteration 72: (EM) log likelihood = -28577.074
Iteration 73: (EM) log likelihood = -28568.419
Iteration 74: (EM) log likelihood = -28559.939
Iteration 75: (EM) log likelihood = -28551.712
Iteration 76: (EM) log likelihood = -28543.524
Iteration 77: (EM) log likelihood = -28535.325
Iteration 78: (EM) log likelihood = -28528.267
Iteration 79: (EM) log likelihood = -28519.067
Iteration 80: (EM) log likelihood = -28510.669
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.729
Iteration 1: (class) log likelihood = -5251.729
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29131.268
Iteration 1: (outcome) log likelihood = -29131.268
Refining starting values:
Iteration 0: (EM) log likelihood = -34362.912
Iteration 1: (EM) log likelihood = -34293.485
Iteration 2: (EM) log likelihood = -34067.804
Iteration 3: (EM) log likelihood = -33414.666
Iteration 4: (EM) log likelihood = -32308.937
Iteration 5: (EM) log likelihood = -31408.239
Iteration 6: (EM) log likelihood = -30864.994
Iteration 7: (EM) log likelihood = -30472.983
Iteration 8: (EM) log likelihood = -30160.646
Iteration 9: (EM) log likelihood = -29912.45
Iteration 10: (EM) log likelihood = -29720.331
Iteration 11: (EM) log likelihood = -29570.244
Iteration 12: (EM) log likelihood = -29451.895
Iteration 13: (EM) log likelihood = -29354.863
Iteration 14: (EM) log likelihood = -29275.842
Iteration 15: (EM) log likelihood = -29212.104
Iteration 16: (EM) log likelihood = -29161.111
Iteration 17: (EM) log likelihood = -29121.286
Iteration 18: (EM) log likelihood = -29090.174
Iteration 19: (EM) log likelihood = -29066.965
Iteration 20: (EM) log likelihood = -29048.33
Iteration 21: (EM) log likelihood = -29034.788
Iteration 22: (EM) log likelihood = -29023.602
Iteration 23: (EM) log likelihood = -29015.14
Iteration 24: (EM) log likelihood = -29007.804
Iteration 25: (EM) log likelihood = -29002.1
Iteration 26: (EM) log likelihood = -28996.51
Iteration 27: (EM) log likelihood = -28990.827
Iteration 28: (EM) log likelihood = -28986.253
Iteration 29: (EM) log likelihood = -28982.532
Iteration 30: (EM) log likelihood = -28979.201
Iteration 31: (EM) log likelihood = -28975.865
Iteration 32: (EM) log likelihood = -28972.132
Iteration 33: (EM) log likelihood = -28968.826
Iteration 34: (EM) log likelihood = -28964.597
Iteration 35: (EM) log likelihood = -28961.121
Iteration 36: (EM) log likelihood = -28957.48
Iteration 37: (EM) log likelihood = -28954.074
Iteration 38: (EM) log likelihood = -28950.033
Iteration 39: (EM) log likelihood = -28948.331
Iteration 40: (EM) log likelihood = -28944.267
Iteration 41: (EM) log likelihood = -28941.639
Iteration 42: (EM) log likelihood = -28937.563
Iteration 43: (EM) log likelihood = -28933.532
Iteration 44: (EM) log likelihood = -28929.992
Iteration 45: (EM) log likelihood = -28926.192
Iteration 46: (EM) log likelihood = -28922.915
Iteration 47: (EM) log likelihood = -28918.634
Iteration 48: (EM) log likelihood = -28915.417
Iteration 49: (EM) log likelihood = -28912.005
Iteration 50: (EM) log likelihood = -28907.928
Iteration 51: (EM) log likelihood = -28903.784
Iteration 52: (EM) log likelihood = -28900.461
Iteration 53: (EM) log likelihood = -28896.424
Iteration 54: (EM) log likelihood = -28892.975
Iteration 55: (EM) log likelihood = -28888.921
Iteration 56: (EM) log likelihood = -28885.288
Iteration 57: (EM) log likelihood = -28881.088
Iteration 58: (EM) log likelihood = -28877.642
Iteration 59: (EM) log likelihood = -28874.054
Iteration 60: (EM) log likelihood = -28870.44
Iteration 61: (EM) log likelihood = -28866.799
Iteration 62: (EM) log likelihood = -28863.062
Iteration 63: (EM) log likelihood = -28859.05
Iteration 64: (EM) log likelihood = -28854.977
Iteration 65: (EM) log likelihood = -28850.368
Iteration 66: (EM) log likelihood = -28845.857
Iteration 67: (EM) log likelihood = -28842.627
Iteration 68: (EM) log likelihood = -28838.905
Iteration 69: (EM) log likelihood = -28835.246
Iteration 70: (EM) log likelihood = -28831.821
Iteration 71: (EM) log likelihood = -28828.437
Iteration 72: (EM) log likelihood = -28820.855
Iteration 73: (EM) log likelihood = -28816.614
Iteration 74: (EM) log likelihood = -28812.019
Iteration 75: (EM) log likelihood = -28808.153
Iteration 76: (EM) log likelihood = -28804.567
Iteration 77: (EM) log likelihood = -28801.323
Iteration 78: (EM) log likelihood = -28797.943
Iteration 79: (EM) log likelihood = -28795.146
Iteration 80: (EM) log likelihood = -28790.813
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.1677
Iteration 1: (class) log likelihood = -5251.1677
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29147.327
Iteration 1: (outcome) log likelihood = -29147.327
Refining starting values:
Iteration 0: (EM) log likelihood = -34392.685
Iteration 1: (EM) log likelihood = -34366.225
Iteration 2: (EM) log likelihood = -34282.058
Iteration 3: (EM) log likelihood = -34059.573
Iteration 4: (EM) log likelihood = -33622.301
Iteration 5: (EM) log likelihood = -32962.276
Iteration 6: (EM) log likelihood = -32152.905
Iteration 7: (EM) log likelihood = -31402.933
Iteration 8: (EM) log likelihood = -30836.582
Iteration 9: (EM) log likelihood = -30434.937
Iteration 10: (EM) log likelihood = -30117.96
Iteration 11: (EM) log likelihood = -29835.328
Iteration 12: (EM) log likelihood = -29577.107
Iteration 13: (EM) log likelihood = -29344.434
Iteration 14: (EM) log likelihood = -29149.639
Iteration 15: (EM) log likelihood = -28998.168
Iteration 16: (EM) log likelihood = -28878.597
Iteration 17: (EM) log likelihood = -28781.014
Iteration 18: (EM) log likelihood = -28701.789
Iteration 19: (EM) log likelihood = -28634.298
Iteration 20: (EM) log likelihood = -28579.939
Iteration 21: (EM) log likelihood = -28535.254
Iteration 22: (EM) log likelihood = -28498.748
Iteration 23: (EM) log likelihood = -28468.277
Iteration 24: (EM) log likelihood = -28444.235
Iteration 25: (EM) log likelihood = -28422.575
Iteration 26: (EM) log likelihood = -28405.29
Iteration 27: (EM) log likelihood = -28390.306
Iteration 28: (EM) log likelihood = -28375.545
Iteration 29: (EM) log likelihood = -28361.67
Iteration 30: (EM) log likelihood = -28349.432
Iteration 31: (EM) log likelihood = -28337.791
Iteration 32: (EM) log likelihood = -28326.588
Iteration 33: (EM) log likelihood = -28316.557
Iteration 34: (EM) log likelihood = -28306.855
Iteration 35: (EM) log likelihood = -28298.184
Iteration 36: (EM) log likelihood = -28289.738
Iteration 37: (EM) log likelihood = -28281.819
Iteration 38: (EM) log likelihood = -28273.478
Iteration 39: (EM) log likelihood = -28266.144
Iteration 40: (EM) log likelihood = -28259.573
Iteration 41: (EM) log likelihood = -28254.682
Iteration 42: (EM) log likelihood = -28248.683
Iteration 43: (EM) log likelihood = -28242.405
Iteration 44: (EM) log likelihood = -28237.018
Iteration 45: (EM) log likelihood = -28231.857
Iteration 46: (EM) log likelihood = -28226.815
Iteration 47: (EM) log likelihood = -28222.358
Iteration 48: (EM) log likelihood = -28215.755
Iteration 49: (EM) log likelihood = -28211.455
Iteration 50: (EM) log likelihood = -28207.038
Iteration 51: (EM) log likelihood = -28202.834
Iteration 52: (EM) log likelihood = -28199.075
Iteration 53: (EM) log likelihood = -28195.254
Iteration 54: (EM) log likelihood = -28191.471
Iteration 55: (EM) log likelihood = -28187.857
Iteration 56: (EM) log likelihood = -28184.369
Iteration 57: (EM) log likelihood = -28181.24
Iteration 58: (EM) log likelihood = -28178.061
Iteration 59: (EM) log likelihood = -28174.908
Iteration 60: (EM) log likelihood = -28171.933
Iteration 61: (EM) log likelihood = -28169.022
Iteration 62: (EM) log likelihood = -28166.181
Iteration 63: (EM) log likelihood = -28163.394
Iteration 64: (EM) log likelihood = -28161.383
Iteration 65: (EM) log likelihood = -28158.976
Iteration 66: (EM) log likelihood = -28157.193
Iteration 67: (EM) log likelihood = -28154.845
Iteration 68: (EM) log likelihood = -28152.374
Iteration 69: (EM) log likelihood = -28149.052
Iteration 70: (EM) log likelihood = -28146.85
Iteration 71: (EM) log likelihood = -28144.77
Iteration 72: (EM) log likelihood = -28142.688
Iteration 73: (EM) log likelihood = -28140.619
Iteration 74: (EM) log likelihood = -28138.466
Iteration 75: (EM) log likelihood = -28136.548
Iteration 76: (EM) log likelihood = -28134.674
Iteration 77: (EM) log likelihood = -28132.819
Iteration 78: (EM) log likelihood = -28131.081
Iteration 79: (EM) log likelihood = -28129.321
Iteration 80: (EM) log likelihood = -28127.734
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.6371
Iteration 1: (class) log likelihood = -5251.6371
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29138.863
Iteration 1: (outcome) log likelihood = -29138.863
Refining starting values:
Iteration 0: (EM) log likelihood = -34364.297
Iteration 1: (EM) log likelihood = -34264.19
Iteration 2: (EM) log likelihood = -33958.842
Iteration 3: (EM) log likelihood = -33314.25
Iteration 4: (EM) log likelihood = -32465.738
Iteration 5: (EM) log likelihood = -31705.981
Iteration 6: (EM) log likelihood = -31099.151
Iteration 7: (EM) log likelihood = -30601.518
Iteration 8: (EM) log likelihood = -30210.145
Iteration 9: (EM) log likelihood = -29932.786
Iteration 10: (EM) log likelihood = -29740.577
Iteration 11: (EM) log likelihood = -29597.989
Iteration 12: (EM) log likelihood = -29484.92
Iteration 13: (EM) log likelihood = -29390.658
Iteration 14: (EM) log likelihood = -29308.447
Iteration 15: (EM) log likelihood = -29235.233
Iteration 16: (EM) log likelihood = -29168.331
Iteration 17: (EM) log likelihood = -29105.7
Iteration 18: (EM) log likelihood = -29046.197
Iteration 19: (EM) log likelihood = -28992.201
Iteration 20: (EM) log likelihood = -28943.5
Iteration 21: (EM) log likelihood = -28899.824
Iteration 22: (EM) log likelihood = -28863.971
Iteration 23: (EM) log likelihood = -28835.273
Iteration 24: (EM) log likelihood = -28811.842
Iteration 25: (EM) log likelihood = -28792.054
Iteration 26: (EM) log likelihood = -28775.228
Iteration 27: (EM) log likelihood = -28759.568
Iteration 28: (EM) log likelihood = -28746.362
Iteration 29: (EM) log likelihood = -28731.518
Iteration 30: (EM) log likelihood = -28718.454
Iteration 31: (EM) log likelihood = -28706.526
Iteration 32: (EM) log likelihood = -28693.524
Iteration 33: (EM) log likelihood = -28681.148
Iteration 34: (EM) log likelihood = -28669.543
Iteration 35: (EM) log likelihood = -28658.565
Iteration 36: (EM) log likelihood = -28647.261
Iteration 37: (EM) log likelihood = -28637.582
Iteration 38: (EM) log likelihood = -28627.982
Iteration 39: (EM) log likelihood = -28618.023
Iteration 40: (EM) log likelihood = -28608.043
Iteration 41: (EM) log likelihood = -28598.657
Iteration 42: (EM) log likelihood = -28588.513
Iteration 43: (EM) log likelihood = -28579.667
Iteration 44: (EM) log likelihood = -28571.901
Iteration 45: (EM) log likelihood = -28563.437
Iteration 46: (EM) log likelihood = -28555.014
Iteration 47: (EM) log likelihood = -28547.425
Iteration 48: (EM) log likelihood = -28539.192
Iteration 49: (EM) log likelihood = -28531.482
Iteration 50: (EM) log likelihood = -28524.256
Iteration 51: (EM) log likelihood = -28516.728
Iteration 52: (EM) log likelihood = -28509.522
Iteration 53: (EM) log likelihood = -28502.555
Iteration 54: (EM) log likelihood = -28495.842
Iteration 55: (EM) log likelihood = -28489.391
Iteration 56: (EM) log likelihood = -28483.012
Iteration 57: (EM) log likelihood = -28476.803
Iteration 58: (EM) log likelihood = -28471.017
Iteration 59: (EM) log likelihood = -28465.505
Iteration 60: (EM) log likelihood = -28460.043
Iteration 61: (EM) log likelihood = -28454.877
Iteration 62: (EM) log likelihood = -28449.953
Iteration 63: (EM) log likelihood = -28445.108
Iteration 64: (EM) log likelihood = -28440.497
Iteration 65: (EM) log likelihood = -28435.974
Iteration 66: (EM) log likelihood = -28431.637
Iteration 67: (EM) log likelihood = -28427.485
Iteration 68: (EM) log likelihood = -28423.564
Iteration 69: (EM) log likelihood = -28419.612
Iteration 70: (EM) log likelihood = -28415.925
Iteration 71: (EM) log likelihood = -28412.333
Iteration 72: (EM) log likelihood = -28408.851
Iteration 73: (EM) log likelihood = -28405.378
Iteration 74: (EM) log likelihood = -28402.529
Iteration 75: (EM) log likelihood = -28399.331
Iteration 76: (EM) log likelihood = -28396.745
Iteration 77: (EM) log likelihood = -28393.861
Iteration 78: (EM) log likelihood = -28390.95
Iteration 79: (EM) log likelihood = -28388.215
Iteration 80: (EM) log likelihood = -28385.732
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5249.6198
Iteration 1: (class) log likelihood = -5249.6198
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29139.436
Iteration 1: (outcome) log likelihood = -29139.436
Refining starting values:
Iteration 0: (EM) log likelihood = -34371.263
Iteration 1: (EM) log likelihood = -34303.504
Iteration 2: (EM) log likelihood = -34103.822
Iteration 3: (EM) log likelihood = -33671.88
Iteration 4: (EM) log likelihood = -32985.804
Iteration 5: (EM) log likelihood = -32101.251
Iteration 6: (EM) log likelihood = -31198.442
Iteration 7: (EM) log likelihood = -30479.593
Iteration 8: (EM) log likelihood = -30020.974
Iteration 9: (EM) log likelihood = -29776.68
Iteration 10: (EM) log likelihood = -29651.59
Iteration 11: (EM) log likelihood = -29579.921
Iteration 12: (EM) log likelihood = -29533.315
Iteration 13: (EM) log likelihood = -29499.126
Iteration 14: (EM) log likelihood = -29471.125
Iteration 15: (EM) log likelihood = -29444.301
Iteration 16: (EM) log likelihood = -29415.071
Iteration 17: (EM) log likelihood = -29380.214
Iteration 18: (EM) log likelihood = -29336.318
Iteration 19: (EM) log likelihood = -29283.607
Iteration 20: (EM) log likelihood = -29223.929
Iteration 21: (EM) log likelihood = -29161.066
Iteration 22: (EM) log likelihood = -29100.552
Iteration 23: (EM) log likelihood = -29046.856
Iteration 24: (EM) log likelihood = -29001.357
Iteration 25: (EM) log likelihood = -28963.912
Iteration 26: (EM) log likelihood = -28933.85
Iteration 27: (EM) log likelihood = -28909.384
Iteration 28: (EM) log likelihood = -28889.2
Iteration 29: (EM) log likelihood = -28872.978
Iteration 30: (EM) log likelihood = -28859.544
Iteration 31: (EM) log likelihood = -28848.322
Iteration 32: (EM) log likelihood = -28838.878
Iteration 33: (EM) log likelihood = -28830.6
Iteration 34: (EM) log likelihood = -28823.54
Iteration 35: (EM) log likelihood = -28817.306
Iteration 36: (EM) log likelihood = -28812.101
Iteration 37: (EM) log likelihood = -28807.411
Iteration 38: (EM) log likelihood = -28803.268
Iteration 39: (EM) log likelihood = -28799.401
Iteration 40: (EM) log likelihood = -28794.783
Iteration 41: (EM) log likelihood = -28791.335
Iteration 42: (EM) log likelihood = -28787.687
Iteration 43: (EM) log likelihood = -28784.611
Iteration 44: (EM) log likelihood = -28781.314
Iteration 45: (EM) log likelihood = -28777.943
Iteration 46: (EM) log likelihood = -28774.626
Iteration 47: (EM) log likelihood = -28771.241
Iteration 48: (EM) log likelihood = -28767.814
Iteration 49: (EM) log likelihood = -28764.366
Iteration 50: (EM) log likelihood = -28760.887
Iteration 51: (EM) log likelihood = -28755.975
Iteration 52: (EM) log likelihood = -28752.766
Iteration 53: (EM) log likelihood = -28750.133
Iteration 54: (EM) log likelihood = -28745.759
Iteration 55: (EM) log likelihood = -28742.005
Iteration 56: (EM) log likelihood = -28738.197
Iteration 57: (EM) log likelihood = -28734.379
Iteration 58: (EM) log likelihood = -28730.594
Iteration 59: (EM) log likelihood = -28726.775
Iteration 60: (EM) log likelihood = -28723.027
Iteration 61: (EM) log likelihood = -28719.403
Iteration 62: (EM) log likelihood = -28715.704
Iteration 63: (EM) log likelihood = -28711.67
Iteration 64: (EM) log likelihood = -28707.937
Iteration 65: (EM) log likelihood = -28704.18
Iteration 66: (EM) log likelihood = -28700.327
Iteration 67: (EM) log likelihood = -28696.638
Iteration 68: (EM) log likelihood = -28692.927
Iteration 69: (EM) log likelihood = -28689.227
Iteration 70: (EM) log likelihood = -28685.542
Iteration 71: (EM) log likelihood = -28682.013
Iteration 72: (EM) log likelihood = -28678.742
Iteration 73: (EM) log likelihood = -28674.966
Iteration 74: (EM) log likelihood = -28671.431
Iteration 75: (EM) log likelihood = -28667.971
Iteration 76: (EM) log likelihood = -28664.45
Iteration 77: (EM) log likelihood = -28660.972
Iteration 78: (EM) log likelihood = -28657.58
Iteration 79: (EM) log likelihood = -28654.105
Iteration 80: (EM) log likelihood = -28650.76
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5249.6759
Iteration 1: (class) log likelihood = -5249.6759
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29141.558
Iteration 1: (outcome) log likelihood = -29141.558
Refining starting values:
Iteration 0: (EM) log likelihood = -34382.675
Iteration 1: (EM) log likelihood = -34344.768
Iteration 2: (EM) log likelihood = -34197.417
Iteration 3: (EM) log likelihood = -33672.677
Iteration 4: (EM) log likelihood = -32553.994
Iteration 5: (EM) log likelihood = -31440.055
Iteration 6: (EM) log likelihood = -30704.349
Iteration 7: (EM) log likelihood = -30223.45
Iteration 8: (EM) log likelihood = -29910.894
Iteration 9: (EM) log likelihood = -29693.153
Iteration 10: (EM) log likelihood = -29526.821
Iteration 11: (EM) log likelihood = -29396.428
Iteration 12: (EM) log likelihood = -29296.372
Iteration 13: (EM) log likelihood = -29221.625
Iteration 14: (EM) log likelihood = -29166.581
Iteration 15: (EM) log likelihood = -29126.251
Iteration 16: (EM) log likelihood = -29096.732
Iteration 17: (EM) log likelihood = -29075.056
Iteration 18: (EM) log likelihood = -29059.172
Iteration 19: (EM) log likelihood = -29046.368
Iteration 20: (EM) log likelihood = -29035.759
Iteration 21: (EM) log likelihood = -29026.128
Iteration 22: (EM) log likelihood = -29016.747
Iteration 23: (EM) log likelihood = -29008.558
Iteration 24: (EM) log likelihood = -29002.819
Iteration 25: (EM) log likelihood = -28995.565
Iteration 26: (EM) log likelihood = -28988.944
Iteration 27: (EM) log likelihood = -28982.217
Iteration 28: (EM) log likelihood = -28976.198
Iteration 29: (EM) log likelihood = -28970.01
Iteration 30: (EM) log likelihood = -28963.518
Iteration 31: (EM) log likelihood = -28957.003
Iteration 32: (EM) log likelihood = -28950.94
Iteration 33: (EM) log likelihood = -28944.78
Iteration 34: (EM) log likelihood = -28937.891
Iteration 35: (EM) log likelihood = -28931.829
Iteration 36: (EM) log likelihood = -28925.611
Iteration 37: (EM) log likelihood = -28919.263
Iteration 38: (EM) log likelihood = -28912.756
Iteration 39: (EM) log likelihood = -28905.887
Iteration 40: (EM) log likelihood = -28899.795
Iteration 41: (EM) log likelihood = -28893.218
Iteration 42: (EM) log likelihood = -28886.171
Iteration 43: (EM) log likelihood = -28879.499
Iteration 44: (EM) log likelihood = -28873.151
Iteration 45: (EM) log likelihood = -28866.097
Iteration 46: (EM) log likelihood = -28858.652
Iteration 47: (EM) log likelihood = -28851.752
Iteration 48: (EM) log likelihood = -28844.983
Iteration 49: (EM) log likelihood = -28838.165
Iteration 50: (EM) log likelihood = -28831.213
Iteration 51: (EM) log likelihood = -28824.24
Iteration 52: (EM) log likelihood = -28816.844
Iteration 53: (EM) log likelihood = -28809.994
Iteration 54: (EM) log likelihood = -28802.566
Iteration 55: (EM) log likelihood = -28795.968
Iteration 56: (EM) log likelihood = -28789.307
Iteration 57: (EM) log likelihood = -28782.67
Iteration 58: (EM) log likelihood = -28775.962
Iteration 59: (EM) log likelihood = -28769.252
Iteration 60: (EM) log likelihood = -28762.516
Iteration 61: (EM) log likelihood = -28755.432
Iteration 62: (EM) log likelihood = -28748.82
Iteration 63: (EM) log likelihood = -28742.179
Iteration 64: (EM) log likelihood = -28735.26
Iteration 65: (EM) log likelihood = -28728.939
Iteration 66: (EM) log likelihood = -28721.993
Iteration 67: (EM) log likelihood = -28715.547
Iteration 68: (EM) log likelihood = -28708.475
Iteration 69: (EM) log likelihood = -28702.71
Iteration 70: (EM) log likelihood = -28696.333
Iteration 71: (EM) log likelihood = -28689.664
Iteration 72: (EM) log likelihood = -28683.656
Iteration 73: (EM) log likelihood = -28677.633
Iteration 74: (EM) log likelihood = -28671.179
Iteration 75: (EM) log likelihood = -28665.486
Iteration 76: (EM) log likelihood = -28659.295
Iteration 77: (EM) log likelihood = -28653.309
Iteration 78: (EM) log likelihood = -28648.246
Iteration 79: (EM) log likelihood = -28642.556
Iteration 80: (EM) log likelihood = -28637.34
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.1395
Iteration 1: (class) log likelihood = -5251.1395
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29134.193
Iteration 1: (outcome) log likelihood = -29134.193
Refining starting values:
Iteration 0: (EM) log likelihood = -34361.114
Iteration 1: (EM) log likelihood = -34273.122
Iteration 2: (EM) log likelihood = -33971.177
Iteration 3: (EM) log likelihood = -33198.016
Iteration 4: (EM) log likelihood = -32151
Iteration 5: (EM) log likelihood = -31328.275
Iteration 6: (EM) log likelihood = -30747.173
Iteration 7: (EM) log likelihood = -30321.975
Iteration 8: (EM) log likelihood = -30014.416
Iteration 9: (EM) log likelihood = -29788.608
Iteration 10: (EM) log likelihood = -29624.419
Iteration 11: (EM) log likelihood = -29507.845
Iteration 12: (EM) log likelihood = -29424.775
Iteration 13: (EM) log likelihood = -29363.275
Iteration 14: (EM) log likelihood = -29315.181
Iteration 15: (EM) log likelihood = -29274.637
Iteration 16: (EM) log likelihood = -29237.463
Iteration 17: (EM) log likelihood = -29201.575
Iteration 18: (EM) log likelihood = -29165.788
Iteration 19: (EM) log likelihood = -29130.039
Iteration 20: (EM) log likelihood = -29094.855
Iteration 21: (EM) log likelihood = -29061.097
Iteration 22: (EM) log likelihood = -29027.184
Iteration 23: (EM) log likelihood = -28996.555
Iteration 24: (EM) log likelihood = -28967.998
Iteration 25: (EM) log likelihood = -28941.3
Iteration 26: (EM) log likelihood = -28916.268
Iteration 27: (EM) log likelihood = -28893.376
Iteration 28: (EM) log likelihood = -28872.159
Iteration 29: (EM) log likelihood = -28852.534
Iteration 30: (EM) log likelihood = -28834.296
Iteration 31: (EM) log likelihood = -28817.737
Iteration 32: (EM) log likelihood = -28803.106
Iteration 33: (EM) log likelihood = -28789.087
Iteration 34: (EM) log likelihood = -28776.082
Iteration 35: (EM) log likelihood = -28763.552
Iteration 36: (EM) log likelihood = -28752.406
Iteration 37: (EM) log likelihood = -28742.282
Iteration 38: (EM) log likelihood = -28732.769
Iteration 39: (EM) log likelihood = -28724.018
Iteration 40: (EM) log likelihood = -28716.01
Iteration 41: (EM) log likelihood = -28708.709
Iteration 42: (EM) log likelihood = -28702.128
Iteration 43: (EM) log likelihood = -28695.564
Iteration 44: (EM) log likelihood = -28689.659
Iteration 45: (EM) log likelihood = -28683.022
Iteration 46: (EM) log likelihood = -28677.987
Iteration 47: (EM) log likelihood = -28672.918
Iteration 48: (EM) log likelihood = -28668.041
Iteration 49: (EM) log likelihood = -28663.233
Iteration 50: (EM) log likelihood = -28658.474
Iteration 51: (EM) log likelihood = -28654.132
Iteration 52: (EM) log likelihood = -28649.666
Iteration 53: (EM) log likelihood = -28645.352
Iteration 54: (EM) log likelihood = -28641.463
Iteration 55: (EM) log likelihood = -28637.35
Iteration 56: (EM) log likelihood = -28632.912
Iteration 57: (EM) log likelihood = -28628.866
Iteration 58: (EM) log likelihood = -28624.893
Iteration 59: (EM) log likelihood = -28620.901
Iteration 60: (EM) log likelihood = -28617.113
Iteration 61: (EM) log likelihood = -28613.346
Iteration 62: (EM) log likelihood = -28609.496
Iteration 63: (EM) log likelihood = -28606.406
Iteration 64: (EM) log likelihood = -28602.538
Iteration 65: (EM) log likelihood = -28599.075
Iteration 66: (EM) log likelihood = -28595.741
Iteration 67: (EM) log likelihood = -28593.56
Iteration 68: (EM) log likelihood = -28590.307
Iteration 69: (EM) log likelihood = -28587.237
Iteration 70: (EM) log likelihood = -28584.208
Iteration 71: (EM) log likelihood = -28581.327
Iteration 72: (EM) log likelihood = -28578.747
Iteration 73: (EM) log likelihood = -28575.962
Iteration 74: (EM) log likelihood = -28573.332
Iteration 75: (EM) log likelihood = -28570.795
Iteration 76: (EM) log likelihood = -28567.739
Iteration 77: (EM) log likelihood = -28565.418
Iteration 78: (EM) log likelihood = -28562.997
Iteration 79: (EM) log likelihood = -28560.762
Iteration 80: (EM) log likelihood = -28558.564
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5248.9004
Iteration 1: (class) log likelihood = -5248.9004
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29147.401
Iteration 1: (outcome) log likelihood = -29147.401
Refining starting values:
Iteration 0: (EM) log likelihood = -34386.819
Iteration 1: (EM) log likelihood = -34352.217
Iteration 2: (EM) log likelihood = -34234.08
Iteration 3: (EM) log likelihood = -33825.713
Iteration 4: (EM) log likelihood = -32841.513
Iteration 5: (EM) log likelihood = -31716.737
Iteration 6: (EM) log likelihood = -31011.956
Iteration 7: (EM) log likelihood = -30546.379
Iteration 8: (EM) log likelihood = -30193.455
Iteration 9: (EM) log likelihood = -29927.289
Iteration 10: (EM) log likelihood = -29734.286
Iteration 11: (EM) log likelihood = -29598.737
Iteration 12: (EM) log likelihood = -29505.153
Iteration 13: (EM) log likelihood = -29438.76
Iteration 14: (EM) log likelihood = -29391.515
Iteration 15: (EM) log likelihood = -29356.696
Iteration 16: (EM) log likelihood = -29329.932
Iteration 17: (EM) log likelihood = -29309.17
Iteration 18: (EM) log likelihood = -29291.543
Iteration 19: (EM) log likelihood = -29276.089
Iteration 20: (EM) log likelihood = -29261.441
Iteration 21: (EM) log likelihood = -29247.543
Iteration 22: (EM) log likelihood = -29232.049
Iteration 23: (EM) log likelihood = -29216.242
Iteration 24: (EM) log likelihood = -29199.909
Iteration 25: (EM) log likelihood = -29182.701
Iteration 26: (EM) log likelihood = -29163.741
Iteration 27: (EM) log likelihood = -29143.95
Iteration 28: (EM) log likelihood = -29122.944
Iteration 29: (EM) log likelihood = -29102.74
Iteration 30: (EM) log likelihood = -29083.978
Iteration 31: (EM) log likelihood = -29064.592
Iteration 32: (EM) log likelihood = -29049.311
Iteration 33: (EM) log likelihood = -29034.995
Iteration 34: (EM) log likelihood = -29020.766
Iteration 35: (EM) log likelihood = -29010.624
Iteration 36: (EM) log likelihood = -29000.601
Iteration 37: (EM) log likelihood = -28992.035
Iteration 38: (EM) log likelihood = -28983.203
Iteration 39: (EM) log likelihood = -28975.211
Iteration 40: (EM) log likelihood = -28967.949
Iteration 41: (EM) log likelihood = -28960.746
Iteration 42: (EM) log likelihood = -28954.786
Iteration 43: (EM) log likelihood = -28950.357
Iteration 44: (EM) log likelihood = -28945.354
Iteration 45: (EM) log likelihood = -28940.298
Iteration 46: (EM) log likelihood = -28935.458
Iteration 47: (EM) log likelihood = -28930.339
Iteration 48: (EM) log likelihood = -28923.657
Iteration 49: (EM) log likelihood = -28918.769
Iteration 50: (EM) log likelihood = -28913.312
Iteration 51: (EM) log likelihood = -28906.279
Iteration 52: (EM) log likelihood = -28899.795
Iteration 53: (EM) log likelihood = -28892.738
Iteration 54: (EM) log likelihood = -28888.113
Iteration 55: (EM) log likelihood = -28882.887
Iteration 56: (EM) log likelihood = -28874.967
Iteration 57: (EM) log likelihood = -28869.638
Iteration 58: (EM) log likelihood = -28862.565
Iteration 59: (EM) log likelihood = -28859.556
Iteration 60: (EM) log likelihood = -28853.223
Iteration 61: (EM) log likelihood = -28847.456
Iteration 62: (EM) log likelihood = -28841.444
Iteration 63: (EM) log likelihood = -28835.24
Iteration 64: (EM) log likelihood = -28830.713
Iteration 65: (EM) log likelihood = -28824.644
Iteration 66: (EM) log likelihood = -28819.158
Iteration 67: (EM) log likelihood = -28812.899
Iteration 68: (EM) log likelihood = -28807.06
Iteration 69: (EM) log likelihood = -28800.159
Iteration 70: (EM) log likelihood = -28795.073
Iteration 71: (EM) log likelihood = -28789.471
Iteration 72: (EM) log likelihood = -28783.077
Iteration 73: (EM) log likelihood = -28776.629
Iteration 74: (EM) log likelihood = -28772.688
Iteration 75: (EM) log likelihood = -28769.468
Iteration 76: (EM) log likelihood = -28763.17
Iteration 77: (EM) log likelihood = -28756.809
Iteration 78: (EM) log likelihood = -28751.282
Iteration 79: (EM) log likelihood = -28745.518
Iteration 80: (EM) log likelihood = -28740.21
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.4676
Iteration 1: (class) log likelihood = -5251.4676
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29136.928
Iteration 1: (outcome) log likelihood = -29136.928
Refining starting values:
Iteration 0: (EM) log likelihood = -34372.734
Iteration 1: (EM) log likelihood = -34287.825
Iteration 2: (EM) log likelihood = -33995.656
Iteration 3: (EM) log likelihood = -33287.56
Iteration 4: (EM) log likelihood = -32260.229
Iteration 5: (EM) log likelihood = -31407.373
Iteration 6: (EM) log likelihood = -30861.778
Iteration 7: (EM) log likelihood = -30484.886
Iteration 8: (EM) log likelihood = -30195.226
Iteration 9: (EM) log likelihood = -29946.902
Iteration 10: (EM) log likelihood = -29726.03
Iteration 11: (EM) log likelihood = -29536.314
Iteration 12: (EM) log likelihood = -29383.436
Iteration 13: (EM) log likelihood = -29265.645
Iteration 14: (EM) log likelihood = -29175.589
Iteration 15: (EM) log likelihood = -29106.372
Iteration 16: (EM) log likelihood = -29051.654
Iteration 17: (EM) log likelihood = -29007.411
Iteration 18: (EM) log likelihood = -28971.164
Iteration 19: (EM) log likelihood = -28941.126
Iteration 20: (EM) log likelihood = -28916.522
Iteration 21: (EM) log likelihood = -28896.329
Iteration 22: (EM) log likelihood = -28879.746
Iteration 23: (EM) log likelihood = -28866.423
Iteration 24: (EM) log likelihood = -28855.639
Iteration 25: (EM) log likelihood = -28846.831
Iteration 26: (EM) log likelihood = -28840.041
Iteration 27: (EM) log likelihood = -28834.589
Iteration 28: (EM) log likelihood = -28830.096
Iteration 29: (EM) log likelihood = -28826.679
Iteration 30: (EM) log likelihood = -28823.92
Iteration 31: (EM) log likelihood = -28821.916
Iteration 32: (EM) log likelihood = -28820.331
Iteration 33: (EM) log likelihood = -28818.824
Iteration 34: (EM) log likelihood = -28817.726
Iteration 35: (EM) log likelihood = -28816.912
Iteration 36: (EM) log likelihood = -28816.029
Iteration 37: (EM) log likelihood = -28815.547
Iteration 38: (EM) log likelihood = -28815.319
Iteration 39: (EM) log likelihood = -28814.966
Iteration 40: (EM) log likelihood = -28814.711
Iteration 41: (EM) log likelihood = -28814.203
Iteration 42: (EM) log likelihood = -28813.799
Iteration 43: (EM) log likelihood = -28813.22
Iteration 44: (EM) log likelihood = -28812.878
Iteration 45: (EM) log likelihood = -28812.316
Iteration 46: (EM) log likelihood = -28811.8
Iteration 47: (EM) log likelihood = -28810.622
Iteration 48: (EM) log likelihood = -28810.068
Iteration 49: (EM) log likelihood = -28809.135
Iteration 50: (EM) log likelihood = -28808.202
Iteration 51: (EM) log likelihood = -28806.954
Iteration 52: (EM) log likelihood = -28805.969
Iteration 53: (EM) log likelihood = -28804.646
Iteration 54: (EM) log likelihood = -28803.203
Iteration 55: (EM) log likelihood = -28801.681
Iteration 56: (EM) log likelihood = -28800.057
Iteration 57: (EM) log likelihood = -28798.332
Iteration 58: (EM) log likelihood = -28796.5
Iteration 59: (EM) log likelihood = -28794.659
Iteration 60: (EM) log likelihood = -28792.717
Iteration 61: (EM) log likelihood = -28790.764
Iteration 62: (EM) log likelihood = -28788.657
Iteration 63: (EM) log likelihood = -28786.49
Iteration 64: (EM) log likelihood = -28784.294
Iteration 65: (EM) log likelihood = -28781.976
Iteration 66: (EM) log likelihood = -28779.647
Iteration 67: (EM) log likelihood = -28777.2
Iteration 68: (EM) log likelihood = -28774.726
Iteration 69: (EM) log likelihood = -28772.113
Iteration 70: (EM) log likelihood = -28769.425
Iteration 71: (EM) log likelihood = -28765.807
Iteration 72: (EM) log likelihood = -28763.389
Iteration 73: (EM) log likelihood = -28760.644
Iteration 74: (EM) log likelihood = -28757.752
Iteration 75: (EM) log likelihood = -28754.698
Iteration 76: (EM) log likelihood = -28751.585
Iteration 77: (EM) log likelihood = -28748.434
Iteration 78: (EM) log likelihood = -28745.211
Iteration 79: (EM) log likelihood = -28741.914
Iteration 80: (EM) log likelihood = -28738.564
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.9296
Iteration 1: (class) log likelihood = -5251.9296
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29452.535
Iteration 1: (outcome) log likelihood = -29225.73
Iteration 2: (outcome) log likelihood = -29151.456
Iteration 3: (outcome) log likelihood = -29139.847
Iteration 4: (outcome) log likelihood = -29138.167
Iteration 5: (outcome) log likelihood = -29137.965
Iteration 6: (outcome) log likelihood = -29137.925
Iteration 7: (outcome) log likelihood = -29137.916
Iteration 8: (outcome) log likelihood = -29137.914
Iteration 9: (outcome) log likelihood = -29137.914
Iteration 10: (outcome) log likelihood = -29137.914
Iteration 11: (outcome) log likelihood = -29137.914
Refining starting values:
Iteration 0: (EM) log likelihood = -34382.511
Iteration 1: (EM) log likelihood = -34347.089
Iteration 2: (EM) log likelihood = -34225.577
Iteration 3: (EM) log likelihood = -33896.913
Iteration 4: (EM) log likelihood = -33264.102
Iteration 5: (EM) log likelihood = -32337.609
Iteration 6: (EM) log likelihood = -31315.136
Iteration 7: (EM) log likelihood = -30486.793
Iteration 8: (EM) log likelihood = -29961.583
Iteration 9: (EM) log likelihood = -29670.853
Iteration 10: (EM) log likelihood = -29508.233
Iteration 11: (EM) log likelihood = -29411.64
Iteration 12: (EM) log likelihood = -29350.344
Iteration 13: (EM) log likelihood = -29309.344
Iteration 14: (EM) log likelihood = -29276.123
Iteration 15: (EM) log likelihood = -29245.844
Iteration 16: (EM) log likelihood = -29215.727
Iteration 17: (EM) log likelihood = -29183.996
Iteration 18: (EM) log likelihood = -29151.424
Iteration 19: (EM) log likelihood = -29117.899
Iteration 20: (EM) log likelihood = -29084.534
Iteration 21: (EM) log likelihood = -29052.238
Iteration 22: (EM) log likelihood = -29021.549
Iteration 23: (EM) log likelihood = -28992.492
Iteration 24: (EM) log likelihood = -28966.004
Iteration 25: (EM) log likelihood = -28942.421
Iteration 26: (EM) log likelihood = -28922.347
Iteration 27: (EM) log likelihood = -28903.797
Iteration 28: (EM) log likelihood = -28887.93
Iteration 29: (EM) log likelihood = -28874.472
Iteration 30: (EM) log likelihood = -28862.476
Iteration 31: (EM) log likelihood = -28852.426
Iteration 32: (EM) log likelihood = -28843.801
Iteration 33: (EM) log likelihood = -28837.041
Iteration 34: (EM) log likelihood = -28831.33
Iteration 35: (EM) log likelihood = -28826.344
Iteration 36: (EM) log likelihood = -28822.517
Iteration 37: (EM) log likelihood = -28819.361
Iteration 38: (EM) log likelihood = -28816.503
Iteration 39: (EM) log likelihood = -28814.198
Iteration 40: (EM) log likelihood = -28812.573
Iteration 41: (EM) log likelihood = -28810.856
Iteration 42: (EM) log likelihood = -28809.52
Iteration 43: (EM) log likelihood = -28808.942
Iteration 44: (EM) log likelihood = -28807.599
Iteration 45: (EM) log likelihood = -28806.426
Iteration 46: (EM) log likelihood = -28805.333
Iteration 47: (EM) log likelihood = -28804.317
Iteration 48: (EM) log likelihood = -28803.296
Iteration 49: (EM) log likelihood = -28802.306
Iteration 50: (EM) log likelihood = -28801.466
Iteration 51: (EM) log likelihood = -28800.971
Iteration 52: (EM) log likelihood = -28799.788
Iteration 53: (EM) log likelihood = -28798.552
Iteration 54: (EM) log likelihood = -28797.346
Iteration 55: (EM) log likelihood = -28796.017
Iteration 56: (EM) log likelihood = -28794.315
Iteration 57: (EM) log likelihood = -28792.852
Iteration 58: (EM) log likelihood = -28791.182
Iteration 59: (EM) log likelihood = -28789.636
Iteration 60: (EM) log likelihood = -28787.859
Iteration 61: (EM) log likelihood = -28786.326
Iteration 62: (EM) log likelihood = -28784.247
Iteration 63: (EM) log likelihood = -28782.076
Iteration 64: (EM) log likelihood = -28780.054
Iteration 65: (EM) log likelihood = -28777.626
Iteration 66: (EM) log likelihood = -28775.153
Iteration 67: (EM) log likelihood = -28772.472
Iteration 68: (EM) log likelihood = -28769.769
Iteration 69: (EM) log likelihood = -28766.928
Iteration 70: (EM) log likelihood = -28763.615
Iteration 71: (EM) log likelihood = -28760.882
Iteration 72: (EM) log likelihood = -28757.638
Iteration 73: (EM) log likelihood = -28754.372
Iteration 74: (EM) log likelihood = -28752.238
Iteration 75: (EM) log likelihood = -28748.184
Iteration 76: (EM) log likelihood = -28744.36
Iteration 77: (EM) log likelihood = -28740.264
Iteration 78: (EM) log likelihood = -28736.395
Iteration 79: (EM) log likelihood = -28732.392
Iteration 80: (EM) log likelihood = -28728.358
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.8723
Iteration 1: (class) log likelihood = -5251.8723
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29141.409
Iteration 1: (outcome) log likelihood = -29141.409
Refining starting values:
Iteration 0: (EM) log likelihood = -34369.587
Iteration 1: (EM) log likelihood = -34282.601
Iteration 2: (EM) log likelihood = -34038.745
Iteration 3: (EM) log likelihood = -33533.993
Iteration 4: (EM) log likelihood = -32722.973
Iteration 5: (EM) log likelihood = -31762.708
Iteration 6: (EM) log likelihood = -31018.546
Iteration 7: (EM) log likelihood = -30534.366
Iteration 8: (EM) log likelihood = -30206.538
Iteration 9: (EM) log likelihood = -29962.679
Iteration 10: (EM) log likelihood = -29764.246
Iteration 11: (EM) log likelihood = -29597.015
Iteration 12: (EM) log likelihood = -29457.409
Iteration 13: (EM) log likelihood = -29342.201
Iteration 14: (EM) log likelihood = -29248.903
Iteration 15: (EM) log likelihood = -29172.586
Iteration 16: (EM) log likelihood = -29110.4
Iteration 17: (EM) log likelihood = -29058.3
Iteration 18: (EM) log likelihood = -29012.855
Iteration 19: (EM) log likelihood = -28971.847
Iteration 20: (EM) log likelihood = -28935.305
Iteration 21: (EM) log likelihood = -28901.38
Iteration 22: (EM) log likelihood = -28870.737
Iteration 23: (EM) log likelihood = -28843.006
Iteration 24: (EM) log likelihood = -28818.182
Iteration 25: (EM) log likelihood = -28796.901
Iteration 26: (EM) log likelihood = -28778.16
Iteration 27: (EM) log likelihood = -28762.184
Iteration 28: (EM) log likelihood = -28748.774
Iteration 29: (EM) log likelihood = -28737.788
Iteration 30: (EM) log likelihood = -28728.849
Iteration 31: (EM) log likelihood = -28721.304
Iteration 32: (EM) log likelihood = -28715.611
Iteration 33: (EM) log likelihood = -28711.265
Iteration 34: (EM) log likelihood = -28708.322
Iteration 35: (EM) log likelihood = -28706.098
Iteration 36: (EM) log likelihood = -28704.721
Iteration 37: (EM) log likelihood = -28704.088
Iteration 38: (EM) log likelihood = -28704.195
Iteration 39: (EM) log likelihood = -28703.372
Iteration 40: (EM) log likelihood = -28704.814
Iteration 41: (EM) log likelihood = -28706.356
Iteration 42: (EM) log likelihood = -28708.021
Iteration 43: (EM) log likelihood = -28709.459
Iteration 44: (EM) log likelihood = -28711.602
Iteration 45: (EM) log likelihood = -28712.983
Iteration 46: (EM) log likelihood = -28715.66
Iteration 47: (EM) log likelihood = -28718.481
Iteration 48: (EM) log likelihood = -28721.78
Iteration 49: (EM) log likelihood = -28724.609
Iteration 50: (EM) log likelihood = -28727.461
Iteration 51: (EM) log likelihood = -28730.349
Iteration 52: (EM) log likelihood = -28733.393
Iteration 53: (EM) log likelihood = -28736.409
Iteration 54: (EM) log likelihood = -28739.42
Iteration 55: (EM) log likelihood = -28742.425
Iteration 56: (EM) log likelihood = -28745.427
Iteration 57: (EM) log likelihood = -28748.418
Iteration 58: (EM) log likelihood = -28751.39
Iteration 59: (EM) log likelihood = -28754.333
Iteration 60: (EM) log likelihood = -28757.245
Iteration 61: (EM) log likelihood = -28760.234
Iteration 62: (EM) log likelihood = -28763.495
Iteration 63: (EM) log likelihood = -28766.552
Iteration 64: (EM) log likelihood = -28768.843
Iteration 65: (EM) log likelihood = -28771.423
Iteration 66: (EM) log likelihood = -28773.916
Iteration 67: (EM) log likelihood = -28776.626
Iteration 68: (EM) log likelihood = -28778.812
Iteration 69: (EM) log likelihood = -28781.253
Iteration 70: (EM) log likelihood = -28783.684
Iteration 71: (EM) log likelihood = -28785.964
Iteration 72: (EM) log likelihood = -28788.17
Iteration 73: (EM) log likelihood = -28790.095
Iteration 74: (EM) log likelihood = -28792.299
Iteration 75: (EM) log likelihood = -28794.311
Iteration 76: (EM) log likelihood = -28795.817
Iteration 77: (EM) log likelihood = -28797.337
Iteration 78: (EM) log likelihood = -28799.574
Iteration 79: (EM) log likelihood = -28801.875
Iteration 80: (EM) log likelihood = -28802.971
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.8067
Iteration 1: (class) log likelihood = -5251.8067
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30070.071
Iteration 1: (outcome) log likelihood = -29252.619
Iteration 2: (outcome) log likelihood = -29167.981
Iteration 3: (outcome) log likelihood = -29140.275
Iteration 4: (outcome) log likelihood = -29135.091
Iteration 5: (outcome) log likelihood = -29133.82
Iteration 6: (outcome) log likelihood = -29133.597
Iteration 7: (outcome) log likelihood = -29133.546
Iteration 8: (outcome) log likelihood = -29133.533
Iteration 9: (outcome) log likelihood = -29133.531
Iteration 10: (outcome) log likelihood = -29133.53
Iteration 11: (outcome) log likelihood = -29133.53
Iteration 12: (outcome) log likelihood = -29133.53
Refining starting values:
Iteration 0: (EM) log likelihood = -34370.62
Iteration 1: (EM) log likelihood = -34303.51
Iteration 2: (EM) log likelihood = -34038.66
Iteration 3: (EM) log likelihood = -33262.63
Iteration 4: (EM) log likelihood = -32144.964
Iteration 5: (EM) log likelihood = -31317.042
Iteration 6: (EM) log likelihood = -30767.677
Iteration 7: (EM) log likelihood = -30350.225
Iteration 8: (EM) log likelihood = -30034.934
Iteration 9: (EM) log likelihood = -29801.646
Iteration 10: (EM) log likelihood = -29633.726
Iteration 11: (EM) log likelihood = -29516.707
Iteration 12: (EM) log likelihood = -29436.367
Iteration 13: (EM) log likelihood = -29381.398
Iteration 14: (EM) log likelihood = -29343.945
Iteration 15: (EM) log likelihood = -29315.831
Iteration 16: (EM) log likelihood = -29293.493
Iteration 17: (EM) log likelihood = -29275.003
Iteration 18: (EM) log likelihood = -29257.755
Iteration 19: (EM) log likelihood = -29240.337
Iteration 20: (EM) log likelihood = -29223.328
Iteration 21: (EM) log likelihood = -29206.623
Iteration 22: (EM) log likelihood = -29188.467
Iteration 23: (EM) log likelihood = -29170.097
Iteration 24: (EM) log likelihood = -29152.933
Iteration 25: (EM) log likelihood = -29135.398
Iteration 26: (EM) log likelihood = -29119.109
Iteration 27: (EM) log likelihood = -29102.4
Iteration 28: (EM) log likelihood = -29086.382
Iteration 29: (EM) log likelihood = -29072.827
Iteration 30: (EM) log likelihood = -29060.259
Iteration 31: (EM) log likelihood = -29048.052
Iteration 32: (EM) log likelihood = -29037.378
Iteration 33: (EM) log likelihood = -29027.099
Iteration 34: (EM) log likelihood = -29016.894
Iteration 35: (EM) log likelihood = -29007.465
Iteration 36: (EM) log likelihood = -28999.113
Iteration 37: (EM) log likelihood = -28990.655
Iteration 38: (EM) log likelihood = -28982.958
Iteration 39: (EM) log likelihood = -28973.872
Iteration 40: (EM) log likelihood = -28966.044
Iteration 41: (EM) log likelihood = -28957.403
Iteration 42: (EM) log likelihood = -28947.86
Iteration 43: (EM) log likelihood = -28940.298
Iteration 44: (EM) log likelihood = -28932.993
Iteration 45: (EM) log likelihood = -28924.087
Iteration 46: (EM) log likelihood = -28915.351
Iteration 47: (EM) log likelihood = -28907.749
Iteration 48: (EM) log likelihood = -28900.656
Iteration 49: (EM) log likelihood = -28892.757
Iteration 50: (EM) log likelihood = -28884.9
Iteration 51: (EM) log likelihood = -28876.851
Iteration 52: (EM) log likelihood = -28868.174
Iteration 53: (EM) log likelihood = -28860.531
Iteration 54: (EM) log likelihood = -28851.91
Iteration 55: (EM) log likelihood = -28843.431
Iteration 56: (EM) log likelihood = -28834.004
Iteration 57: (EM) log likelihood = -28826.224
Iteration 58: (EM) log likelihood = -28818.648
Iteration 59: (EM) log likelihood = -28811.672
Iteration 60: (EM) log likelihood = -28802.951
Iteration 61: (EM) log likelihood = -28794.502
Iteration 62: (EM) log likelihood = -28786.8
Iteration 63: (EM) log likelihood = -28778.552
Iteration 64: (EM) log likelihood = -28770.53
Iteration 65: (EM) log likelihood = -28762.515
Iteration 66: (EM) log likelihood = -28753.751
Iteration 67: (EM) log likelihood = -28745.888
Iteration 68: (EM) log likelihood = -28738.547
Iteration 69: (EM) log likelihood = -28730.524
Iteration 70: (EM) log likelihood = -28722.613
Iteration 71: (EM) log likelihood = -28715.459
Iteration 72: (EM) log likelihood = -28708.209
Iteration 73: (EM) log likelihood = -28700.271
Iteration 74: (EM) log likelihood = -28692.085
Iteration 75: (EM) log likelihood = -28682.774
Iteration 76: (EM) log likelihood = -28674.738
Iteration 77: (EM) log likelihood = -28666.545
Iteration 78: (EM) log likelihood = -28658.639
Iteration 79: (EM) log likelihood = -28651.165
Iteration 80: (EM) log likelihood = -28643.063
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.8053
Iteration 1: (class) log likelihood = -5251.8053
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29136.935
Iteration 1: (outcome) log likelihood = -29136.935
Refining starting values:
Iteration 0: (EM) log likelihood = -34372.207
Iteration 1: (EM) log likelihood = -34303.181
Iteration 2: (EM) log likelihood = -34065.592
Iteration 3: (EM) log likelihood = -33459.04
Iteration 4: (EM) log likelihood = -32566.062
Iteration 5: (EM) log likelihood = -31760.621
Iteration 6: (EM) log likelihood = -31114.04
Iteration 7: (EM) log likelihood = -30572.955
Iteration 8: (EM) log likelihood = -30172.639
Iteration 9: (EM) log likelihood = -29911.41
Iteration 10: (EM) log likelihood = -29736.344
Iteration 11: (EM) log likelihood = -29604.145
Iteration 12: (EM) log likelihood = -29492.125
Iteration 13: (EM) log likelihood = -29391.905
Iteration 14: (EM) log likelihood = -29301.222
Iteration 15: (EM) log likelihood = -29219.302
Iteration 16: (EM) log likelihood = -29147.415
Iteration 17: (EM) log likelihood = -29084.896
Iteration 18: (EM) log likelihood = -29031.343
Iteration 19: (EM) log likelihood = -28987.596
Iteration 20: (EM) log likelihood = -28952.276
Iteration 21: (EM) log likelihood = -28924.596
Iteration 22: (EM) log likelihood = -28902.727
Iteration 23: (EM) log likelihood = -28885.362
Iteration 24: (EM) log likelihood = -28871.246
Iteration 25: (EM) log likelihood = -28859.463
Iteration 26: (EM) log likelihood = -28849.136
Iteration 27: (EM) log likelihood = -28839.943
Iteration 28: (EM) log likelihood = -28831.687
Iteration 29: (EM) log likelihood = -28824.411
Iteration 30: (EM) log likelihood = -28818.12
Iteration 31: (EM) log likelihood = -28812.612
Iteration 32: (EM) log likelihood = -28807.72
Iteration 33: (EM) log likelihood = -28803.58
Iteration 34: (EM) log likelihood = -28799.786
Iteration 35: (EM) log likelihood = -28796.477
Iteration 36: (EM) log likelihood = -28793.35
Iteration 37: (EM) log likelihood = -28790.399
Iteration 38: (EM) log likelihood = -28787.578
Iteration 39: (EM) log likelihood = -28784.631
Iteration 40: (EM) log likelihood = -28781.819
Iteration 41: (EM) log likelihood = -28779.008
Iteration 42: (EM) log likelihood = -28776.095
Iteration 43: (EM) log likelihood = -28773.057
Iteration 44: (EM) log likelihood = -28769.912
Iteration 45: (EM) log likelihood = -28766.878
Iteration 46: (EM) log likelihood = -28763.723
Iteration 47: (EM) log likelihood = -28760.549
Iteration 48: (EM) log likelihood = -28757.241
Iteration 49: (EM) log likelihood = -28753.834
Iteration 50: (EM) log likelihood = -28750.296
Iteration 51: (EM) log likelihood = -28746.699
Iteration 52: (EM) log likelihood = -28743.077
Iteration 53: (EM) log likelihood = -28739.418
Iteration 54: (EM) log likelihood = -28735.739
Iteration 55: (EM) log likelihood = -28732.031
Iteration 56: (EM) log likelihood = -28728.29
Iteration 57: (EM) log likelihood = -28724.485
Iteration 58: (EM) log likelihood = -28720.762
Iteration 59: (EM) log likelihood = -28716.924
Iteration 60: (EM) log likelihood = -28712.992
Iteration 61: (EM) log likelihood = -28708.173
Iteration 62: (EM) log likelihood = -28705.117
Iteration 63: (EM) log likelihood = -28701.3
Iteration 64: (EM) log likelihood = -28697.493
Iteration 65: (EM) log likelihood = -28693.617
Iteration 66: (EM) log likelihood = -28689.73
Iteration 67: (EM) log likelihood = -28685.857
Iteration 68: (EM) log likelihood = -28681.764
Iteration 69: (EM) log likelihood = -28678.056
Iteration 70: (EM) log likelihood = -28674.193
Iteration 71: (EM) log likelihood = -28670.591
Iteration 72: (EM) log likelihood = -28666.613
Iteration 73: (EM) log likelihood = -28662.947
Iteration 74: (EM) log likelihood = -28659.016
Iteration 75: (EM) log likelihood = -28655.512
Iteration 76: (EM) log likelihood = -28652.068
Iteration 77: (EM) log likelihood = -28648.593
Iteration 78: (EM) log likelihood = -28645.082
Iteration 79: (EM) log likelihood = -28641.524
Iteration 80: (EM) log likelihood = -28637.898
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.6903
Iteration 1: (class) log likelihood = -5251.6903
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29134.371
Iteration 1: (outcome) log likelihood = -29134.371
Refining starting values:
Iteration 0: (EM) log likelihood = -34360.628
Iteration 1: (EM) log likelihood = -34275.556
Iteration 2: (EM) log likelihood = -34027.024
Iteration 3: (EM) log likelihood = -33470.099
Iteration 4: (EM) log likelihood = -32675.378
Iteration 5: (EM) log likelihood = -31892.95
Iteration 6: (EM) log likelihood = -31222.201
Iteration 7: (EM) log likelihood = -30673.522
Iteration 8: (EM) log likelihood = -30233.045
Iteration 9: (EM) log likelihood = -29881.398
Iteration 10: (EM) log likelihood = -29616.851
Iteration 11: (EM) log likelihood = -29414.646
Iteration 12: (EM) log likelihood = -29257.877
Iteration 13: (EM) log likelihood = -29141.336
Iteration 14: (EM) log likelihood = -29056.793
Iteration 15: (EM) log likelihood = -28996.528
Iteration 16: (EM) log likelihood = -28952.859
Iteration 17: (EM) log likelihood = -28921.08
Iteration 18: (EM) log likelihood = -28897.01
Iteration 19: (EM) log likelihood = -28878.964
Iteration 20: (EM) log likelihood = -28866.643
Iteration 21: (EM) log likelihood = -28856.562
Iteration 22: (EM) log likelihood = -28848.935
Iteration 23: (EM) log likelihood = -28841.652
Iteration 24: (EM) log likelihood = -28833.081
Iteration 25: (EM) log likelihood = -28824.649
Iteration 26: (EM) log likelihood = -28815.475
Iteration 27: (EM) log likelihood = -28806.842
Iteration 28: (EM) log likelihood = -28799.434
Iteration 29: (EM) log likelihood = -28793.515
Iteration 30: (EM) log likelihood = -28789.346
Iteration 31: (EM) log likelihood = -28786.933
Iteration 32: (EM) log likelihood = -28785.795
Iteration 33: (EM) log likelihood = -28785.615
Iteration 34: (EM) log likelihood = -28785.454
Iteration 35: (EM) log likelihood = -28784.812
Iteration 36: (EM) log likelihood = -28782.798
Iteration 37: (EM) log likelihood = -28780.093
Iteration 38: (EM) log likelihood = -28776.137
Iteration 39: (EM) log likelihood = -28770.842
Iteration 40: (EM) log likelihood = -28765.923
Iteration 41: (EM) log likelihood = -28760.008
Iteration 42: (EM) log likelihood = -28754.565
Iteration 43: (EM) log likelihood = -28749.912
Iteration 44: (EM) log likelihood = -28745.746
Iteration 45: (EM) log likelihood = -28742.523
Iteration 46: (EM) log likelihood = -28739.999
Iteration 47: (EM) log likelihood = -28737.001
Iteration 48: (EM) log likelihood = -28735.022
Iteration 49: (EM) log likelihood = -28734.094
Iteration 50: (EM) log likelihood = -28732.746
Iteration 51: (EM) log likelihood = -28731.807
Iteration 52: (EM) log likelihood = -28731.373
Iteration 53: (EM) log likelihood = -28731.057
Iteration 54: (EM) log likelihood = -28730.242
Iteration 55: (EM) log likelihood = -28730.063
Iteration 56: (EM) log likelihood = -28729.737
Iteration 57: (EM) log likelihood = -28729.844
Iteration 58: (EM) log likelihood = -28729.698
Iteration 59: (EM) log likelihood = -28729.677
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.5951
Iteration 1: (class) log likelihood = -5252.5951
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29453.2
Iteration 1: (outcome) log likelihood = -29228.637
Iteration 2: (outcome) log likelihood = -29154.456
Iteration 3: (outcome) log likelihood = -29143.892
Iteration 4: (outcome) log likelihood = -29141.324
Iteration 5: (outcome) log likelihood = -29140.77
Iteration 6: (outcome) log likelihood = -29140.644
Iteration 7: (outcome) log likelihood = -29140.624
Iteration 8: (outcome) log likelihood = -29140.621
Iteration 9: (outcome) log likelihood = -29140.621
Iteration 10: (outcome) log likelihood = -29140.621
Iteration 11: (outcome) log likelihood = -29140.621
Refining starting values:
Iteration 0: (EM) log likelihood = -34386.234
Iteration 1: (EM) log likelihood = -34352.003
Iteration 2: (EM) log likelihood = -34226.989
Iteration 3: (EM) log likelihood = -33840.473
Iteration 4: (EM) log likelihood = -33057.125
Iteration 5: (EM) log likelihood = -32110.263
Iteration 6: (EM) log likelihood = -31246.558
Iteration 7: (EM) log likelihood = -30524.078
Iteration 8: (EM) log likelihood = -29966.523
Iteration 9: (EM) log likelihood = -29586.576
Iteration 10: (EM) log likelihood = -29372.628
Iteration 11: (EM) log likelihood = -29263.874
Iteration 12: (EM) log likelihood = -29207.162
Iteration 13: (EM) log likelihood = -29174.438
Iteration 14: (EM) log likelihood = -29152.125
Iteration 15: (EM) log likelihood = -29135.032
Iteration 16: (EM) log likelihood = -29119.994
Iteration 17: (EM) log likelihood = -29106.663
Iteration 18: (EM) log likelihood = -29093.145
Iteration 19: (EM) log likelihood = -29080.95
Iteration 20: (EM) log likelihood = -29066.618
Iteration 21: (EM) log likelihood = -29053.496
Iteration 22: (EM) log likelihood = -29040.416
Iteration 23: (EM) log likelihood = -29027.807
Iteration 24: (EM) log likelihood = -29015.02
Iteration 25: (EM) log likelihood = -29002.156
Iteration 26: (EM) log likelihood = -28988.889
Iteration 27: (EM) log likelihood = -28975.459
Iteration 28: (EM) log likelihood = -28961.744
Iteration 29: (EM) log likelihood = -28947.842
Iteration 30: (EM) log likelihood = -28933.376
Iteration 31: (EM) log likelihood = -28918.92
Iteration 32: (EM) log likelihood = -28904.658
Iteration 33: (EM) log likelihood = -28889.632
Iteration 34: (EM) log likelihood = -28875.878
Iteration 35: (EM) log likelihood = -28861.608
Iteration 36: (EM) log likelihood = -28847.953
Iteration 37: (EM) log likelihood = -28833.962
Iteration 38: (EM) log likelihood = -28821.627
Iteration 39: (EM) log likelihood = -28809.397
Iteration 40: (EM) log likelihood = -28797.081
Iteration 41: (EM) log likelihood = -28785.814
Iteration 42: (EM) log likelihood = -28774.969
Iteration 43: (EM) log likelihood = -28764.36
Iteration 44: (EM) log likelihood = -28754.219
Iteration 45: (EM) log likelihood = -28744.246
Iteration 46: (EM) log likelihood = -28734.719
Iteration 47: (EM) log likelihood = -28725.225
Iteration 48: (EM) log likelihood = -28716.04
Iteration 49: (EM) log likelihood = -28706.777
Iteration 50: (EM) log likelihood = -28698.495
Iteration 51: (EM) log likelihood = -28689.184
Iteration 52: (EM) log likelihood = -28680.637
Iteration 53: (EM) log likelihood = -28671.928
Iteration 54: (EM) log likelihood = -28663.676
Iteration 55: (EM) log likelihood = -28655.254
Iteration 56: (EM) log likelihood = -28647.15
Iteration 57: (EM) log likelihood = -28638.537
Iteration 58: (EM) log likelihood = -28630.702
Iteration 59: (EM) log likelihood = -28622.769
Iteration 60: (EM) log likelihood = -28614.842
Iteration 61: (EM) log likelihood = -28606.777
Iteration 62: (EM) log likelihood = -28599.175
Iteration 63: (EM) log likelihood = -28591.535
Iteration 64: (EM) log likelihood = -28583.768
Iteration 65: (EM) log likelihood = -28576.217
Iteration 66: (EM) log likelihood = -28568.568
Iteration 67: (EM) log likelihood = -28561.197
Iteration 68: (EM) log likelihood = -28553.187
Iteration 69: (EM) log likelihood = -28545.065
Iteration 70: (EM) log likelihood = -28536.632
Iteration 71: (EM) log likelihood = -28527.838
Iteration 72: (EM) log likelihood = -28518.73
Iteration 73: (EM) log likelihood = -28509.087
Iteration 74: (EM) log likelihood = -28498.99
Iteration 75: (EM) log likelihood = -28487.487
Iteration 76: (EM) log likelihood = -28474.838
Iteration 77: (EM) log likelihood = -28460.927
Iteration 78: (EM) log likelihood = -28445.947
Iteration 79: (EM) log likelihood = -28428.193
Iteration 80: (EM) log likelihood = -28410.178
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.6228
Iteration 1: (class) log likelihood = -5251.6228
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29677.978
Iteration 1: (outcome) log likelihood = -29240.204
Iteration 2: (outcome) log likelihood = -29158.169
Iteration 3: (outcome) log likelihood = -29146.112
Iteration 4: (outcome) log likelihood = -29143.264
Iteration 5: (outcome) log likelihood = -29142.637
Iteration 6: (outcome) log likelihood = -29142.496
Iteration 7: (outcome) log likelihood = -29142.474
Iteration 8: (outcome) log likelihood = -29142.472
Iteration 9: (outcome) log likelihood = -29142.471
Iteration 10: (outcome) log likelihood = -29142.471
Iteration 11: (outcome) log likelihood = -29142.471
Iteration 12: (outcome) log likelihood = -29142.471
Refining starting values:
Iteration 0: (EM) log likelihood = -34378.206
Iteration 1: (EM) log likelihood = -34306.949
Iteration 2: (EM) log likelihood = -34018.324
Iteration 3: (EM) log likelihood = -33191.181
Iteration 4: (EM) log likelihood = -32102.681
Iteration 5: (EM) log likelihood = -31386.186
Iteration 6: (EM) log likelihood = -30944.111
Iteration 7: (EM) log likelihood = -30598.221
Iteration 8: (EM) log likelihood = -30295.065
Iteration 9: (EM) log likelihood = -30030.157
Iteration 10: (EM) log likelihood = -29815.207
Iteration 11: (EM) log likelihood = -29652.029
Iteration 12: (EM) log likelihood = -29536.034
Iteration 13: (EM) log likelihood = -29453.101
Iteration 14: (EM) log likelihood = -29394.959
Iteration 15: (EM) log likelihood = -29352.338
Iteration 16: (EM) log likelihood = -29319.833
Iteration 17: (EM) log likelihood = -29293.755
Iteration 18: (EM) log likelihood = -29273.189
Iteration 19: (EM) log likelihood = -29256.487
Iteration 20: (EM) log likelihood = -29242.548
Iteration 21: (EM) log likelihood = -29230.635
Iteration 22: (EM) log likelihood = -29220.577
Iteration 23: (EM) log likelihood = -29212.009
Iteration 24: (EM) log likelihood = -29204.339
Iteration 25: (EM) log likelihood = -29197.603
Iteration 26: (EM) log likelihood = -29191.786
Iteration 27: (EM) log likelihood = -29186.565
Iteration 28: (EM) log likelihood = -29181.672
Iteration 29: (EM) log likelihood = -29176.964
Iteration 30: (EM) log likelihood = -29172.616
Iteration 31: (EM) log likelihood = -29169.088
Iteration 32: (EM) log likelihood = -29163.288
Iteration 33: (EM) log likelihood = -29157.578
Iteration 34: (EM) log likelihood = -29151.926
Iteration 35: (EM) log likelihood = -29145.026
Iteration 36: (EM) log likelihood = -29137.413
Iteration 37: (EM) log likelihood = -29127.938
Iteration 38: (EM) log likelihood = -29118.721
Iteration 39: (EM) log likelihood = -29107.852
Iteration 40: (EM) log likelihood = -29092.509
Iteration 41: (EM) log likelihood = -29078.554
Iteration 42: (EM) log likelihood = -29063.398
Iteration 43: (EM) log likelihood = -29047.56
Iteration 44: (EM) log likelihood = -29029.748
Iteration 45: (EM) log likelihood = -29012.107
Iteration 46: (EM) log likelihood = -28992.799
Iteration 47: (EM) log likelihood = -28973.377
Iteration 48: (EM) log likelihood = -28954.181
Iteration 49: (EM) log likelihood = -28934.633
Iteration 50: (EM) log likelihood = -28916.198
Iteration 51: (EM) log likelihood = -28898.708
Iteration 52: (EM) log likelihood = -28882.553
Iteration 53: (EM) log likelihood = -28867.778
Iteration 54: (EM) log likelihood = -28853.907
Iteration 55: (EM) log likelihood = -28841.745
Iteration 56: (EM) log likelihood = -28830.894
Iteration 57: (EM) log likelihood = -28820.936
Iteration 58: (EM) log likelihood = -28812.043
Iteration 59: (EM) log likelihood = -28803.669
Iteration 60: (EM) log likelihood = -28796.476
Iteration 61: (EM) log likelihood = -28789.895
Iteration 62: (EM) log likelihood = -28783.401
Iteration 63: (EM) log likelihood = -28777.301
Iteration 64: (EM) log likelihood = -28771.486
Iteration 65: (EM) log likelihood = -28764.042
Iteration 66: (EM) log likelihood = -28760.101
Iteration 67: (EM) log likelihood = -28755.451
Iteration 68: (EM) log likelihood = -28750.142
Iteration 69: (EM) log likelihood = -28744.784
Iteration 70: (EM) log likelihood = -28740.868
Iteration 71: (EM) log likelihood = -28736.779
Iteration 72: (EM) log likelihood = -28732.753
Iteration 73: (EM) log likelihood = -28728.756
Iteration 74: (EM) log likelihood = -28724.843
Iteration 75: (EM) log likelihood = -28720.942
Iteration 76: (EM) log likelihood = -28716.807
Iteration 77: (EM) log likelihood = -28713.015
Iteration 78: (EM) log likelihood = -28709.15
Iteration 79: (EM) log likelihood = -28705.388
Iteration 80: (EM) log likelihood = -28701.659
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.4209
Iteration 1: (class) log likelihood = -5252.4209
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29148.763
Iteration 1: (outcome) log likelihood = -29148.763
Refining starting values:
Iteration 0: (EM) log likelihood = -34391.605
Iteration 1: (EM) log likelihood = -34352.602
Iteration 2: (EM) log likelihood = -34208.851
Iteration 3: (EM) log likelihood = -33722.47
Iteration 4: (EM) log likelihood = -32699.589
Iteration 5: (EM) log likelihood = -31736.748
Iteration 6: (EM) log likelihood = -31194.224
Iteration 7: (EM) log likelihood = -30854.061
Iteration 8: (EM) log likelihood = -30584.774
Iteration 9: (EM) log likelihood = -30323.931
Iteration 10: (EM) log likelihood = -30059.855
Iteration 11: (EM) log likelihood = -29820.699
Iteration 12: (EM) log likelihood = -29638.076
Iteration 13: (EM) log likelihood = -29512.166
Iteration 14: (EM) log likelihood = -29428.854
Iteration 15: (EM) log likelihood = -29375.216
Iteration 16: (EM) log likelihood = -29338.342
Iteration 17: (EM) log likelihood = -29312.413
Iteration 18: (EM) log likelihood = -29292.448
Iteration 19: (EM) log likelihood = -29275.868
Iteration 20: (EM) log likelihood = -29263.104
Iteration 21: (EM) log likelihood = -29251.343
Iteration 22: (EM) log likelihood = -29240.466
Iteration 23: (EM) log likelihood = -29230.797
Iteration 24: (EM) log likelihood = -29220.455
Iteration 25: (EM) log likelihood = -29209.111
Iteration 26: (EM) log likelihood = -29197.307
Iteration 27: (EM) log likelihood = -29183.491
Iteration 28: (EM) log likelihood = -29169.666
Iteration 29: (EM) log likelihood = -29155.565
Iteration 30: (EM) log likelihood = -29139.857
Iteration 31: (EM) log likelihood = -29123.536
Iteration 32: (EM) log likelihood = -29106.688
Iteration 33: (EM) log likelihood = -29090.129
Iteration 34: (EM) log likelihood = -29075.686
Iteration 35: (EM) log likelihood = -29060.982
Iteration 36: (EM) log likelihood = -29047.094
Iteration 37: (EM) log likelihood = -29028.334
Iteration 38: (EM) log likelihood = -29016.807
Iteration 39: (EM) log likelihood = -29005.895
Iteration 40: (EM) log likelihood = -28997.608
Iteration 41: (EM) log likelihood = -28989.059
Iteration 42: (EM) log likelihood = -28981.395
Iteration 43: (EM) log likelihood = -28976.993
Iteration 44: (EM) log likelihood = -28972.24
Iteration 45: (EM) log likelihood = -28968.938
Iteration 46: (EM) log likelihood = -28965.83
Iteration 47: (EM) log likelihood = -28963.514
Iteration 48: (EM) log likelihood = -28960.652
Iteration 49: (EM) log likelihood = -28958.149
Iteration 50: (EM) log likelihood = -28954.985
Iteration 51: (EM) log likelihood = -28952.824
Iteration 52: (EM) log likelihood = -28950.641
Iteration 53: (EM) log likelihood = -28947.919
Iteration 54: (EM) log likelihood = -28945.414
Iteration 55: (EM) log likelihood = -28942.953
Iteration 56: (EM) log likelihood = -28940.418
Iteration 57: (EM) log likelihood = -28937.531
Iteration 58: (EM) log likelihood = -28934.56
Iteration 59: (EM) log likelihood = -28931.558
Iteration 60: (EM) log likelihood = -28928.575
Iteration 61: (EM) log likelihood = -28925.835
Iteration 62: (EM) log likelihood = -28922.962
Iteration 63: (EM) log likelihood = -28919.954
Iteration 64: (EM) log likelihood = -28917.314
Iteration 65: (EM) log likelihood = -28913.924
Iteration 66: (EM) log likelihood = -28910.921
Iteration 67: (EM) log likelihood = -28907.688
Iteration 68: (EM) log likelihood = -28904.337
Iteration 69: (EM) log likelihood = -28901.378
Iteration 70: (EM) log likelihood = -28899.142
Iteration 71: (EM) log likelihood = -28895.451
Iteration 72: (EM) log likelihood = -28891.849
Iteration 73: (EM) log likelihood = -28888.064
Iteration 74: (EM) log likelihood = -28884.972
Iteration 75: (EM) log likelihood = -28881.152
Iteration 76: (EM) log likelihood = -28877.516
Iteration 77: (EM) log likelihood = -28873.883
Iteration 78: (EM) log likelihood = -28870.747
Iteration 79: (EM) log likelihood = -28867.08
Iteration 80: (EM) log likelihood = -28863.14
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.3739
Iteration 1: (class) log likelihood = -5252.3739
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29134.539
Iteration 1: (outcome) log likelihood = -29134.539
Refining starting values:
Iteration 0: (EM) log likelihood = -34383.812
Iteration 1: (EM) log likelihood = -34367.952
Iteration 2: (EM) log likelihood = -34323.6
Iteration 3: (EM) log likelihood = -34205.047
Iteration 4: (EM) log likelihood = -33938.316
Iteration 5: (EM) log likelihood = -33511.868
Iteration 6: (EM) log likelihood = -32974.101
Iteration 7: (EM) log likelihood = -32320.278
Iteration 8: (EM) log likelihood = -31606.923
Iteration 9: (EM) log likelihood = -30954.285
Iteration 10: (EM) log likelihood = -30420.87
Iteration 11: (EM) log likelihood = -30007.599
Iteration 12: (EM) log likelihood = -29711.968
Iteration 13: (EM) log likelihood = -29525.798
Iteration 14: (EM) log likelihood = -29406.568
Iteration 15: (EM) log likelihood = -29316.991
Iteration 16: (EM) log likelihood = -29239.39
Iteration 17: (EM) log likelihood = -29168.407
Iteration 18: (EM) log likelihood = -29104.453
Iteration 19: (EM) log likelihood = -29049.231
Iteration 20: (EM) log likelihood = -29003.447
Iteration 21: (EM) log likelihood = -28967.155
Iteration 22: (EM) log likelihood = -28938.975
Iteration 23: (EM) log likelihood = -28915.979
Iteration 24: (EM) log likelihood = -28896.164
Iteration 25: (EM) log likelihood = -28878.646
Iteration 26: (EM) log likelihood = -28863.017
Iteration 27: (EM) log likelihood = -28849.873
Iteration 28: (EM) log likelihood = -28840.112
Iteration 29: (EM) log likelihood = -28833.086
Iteration 30: (EM) log likelihood = -28828.573
Iteration 31: (EM) log likelihood = -28825.224
Iteration 32: (EM) log likelihood = -28823.042
Iteration 33: (EM) log likelihood = -28820.651
Iteration 34: (EM) log likelihood = -28818.035
Iteration 35: (EM) log likelihood = -28814.378
Iteration 36: (EM) log likelihood = -28810.634
Iteration 37: (EM) log likelihood = -28806.289
Iteration 38: (EM) log likelihood = -28801.54
Iteration 39: (EM) log likelihood = -28796.598
Iteration 40: (EM) log likelihood = -28791.559
Iteration 41: (EM) log likelihood = -28786.962
Iteration 42: (EM) log likelihood = -28782.464
Iteration 43: (EM) log likelihood = -28778.206
Iteration 44: (EM) log likelihood = -28774.146
Iteration 45: (EM) log likelihood = -28770.114
Iteration 46: (EM) log likelihood = -28765.857
Iteration 47: (EM) log likelihood = -28762.005
Iteration 48: (EM) log likelihood = -28757.937
Iteration 49: (EM) log likelihood = -28753.666
Iteration 50: (EM) log likelihood = -28749.536
Iteration 51: (EM) log likelihood = -28745.187
Iteration 52: (EM) log likelihood = -28740.372
Iteration 53: (EM) log likelihood = -28735.424
Iteration 54: (EM) log likelihood = -28730.24
Iteration 55: (EM) log likelihood = -28724.812
Iteration 56: (EM) log likelihood = -28719.438
Iteration 57: (EM) log likelihood = -28713.653
Iteration 58: (EM) log likelihood = -28707.727
Iteration 59: (EM) log likelihood = -28702.079
Iteration 60: (EM) log likelihood = -28695.893
Iteration 61: (EM) log likelihood = -28689.559
Iteration 62: (EM) log likelihood = -28683.104
Iteration 63: (EM) log likelihood = -28676.428
Iteration 64: (EM) log likelihood = -28669.673
Iteration 65: (EM) log likelihood = -28662.971
Iteration 66: (EM) log likelihood = -28656.302
Iteration 67: (EM) log likelihood = -28649.692
Iteration 68: (EM) log likelihood = -28643.114
Iteration 69: (EM) log likelihood = -28636.613
Iteration 70: (EM) log likelihood = -28630.195
Iteration 71: (EM) log likelihood = -28623.795
Iteration 72: (EM) log likelihood = -28617.551
Iteration 73: (EM) log likelihood = -28611.438
Iteration 74: (EM) log likelihood = -28605.379
Iteration 75: (EM) log likelihood = -28599.339
Iteration 76: (EM) log likelihood = -28593.41
Iteration 77: (EM) log likelihood = -28587.648
Iteration 78: (EM) log likelihood = -28581.846
Iteration 79: (EM) log likelihood = -28576.235
Iteration 80: (EM) log likelihood = -28570.671
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.7494
Iteration 1: (class) log likelihood = -5251.7494
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29423.762
Iteration 1: (outcome) log likelihood = -29214.423
Iteration 2: (outcome) log likelihood = -29145.864
Iteration 3: (outcome) log likelihood = -29135.672
Iteration 4: (outcome) log likelihood = -29133.147
Iteration 5: (outcome) log likelihood = -29132.663
Iteration 6: (outcome) log likelihood = -29132.585
Iteration 7: (outcome) log likelihood = -29132.566
Iteration 8: (outcome) log likelihood = -29132.562
Iteration 9: (outcome) log likelihood = -29132.561
Iteration 10: (outcome) log likelihood = -29132.561
Iteration 11: (outcome) log likelihood = -29132.561
Iteration 12: (outcome) log likelihood = -29132.561
Refining starting values:
Iteration 0: (EM) log likelihood = -34360.888
Iteration 1: (EM) log likelihood = -34262.657
Iteration 2: (EM) log likelihood = -33968.666
Iteration 3: (EM) log likelihood = -33350.874
Iteration 4: (EM) log likelihood = -32447.434
Iteration 5: (EM) log likelihood = -31520.258
Iteration 6: (EM) log likelihood = -30787.671
Iteration 7: (EM) log likelihood = -30269.238
Iteration 8: (EM) log likelihood = -29933.921
Iteration 9: (EM) log likelihood = -29709.715
Iteration 10: (EM) log likelihood = -29539.147
Iteration 11: (EM) log likelihood = -29411.564
Iteration 12: (EM) log likelihood = -29319.115
Iteration 13: (EM) log likelihood = -29253.823
Iteration 14: (EM) log likelihood = -29204.883
Iteration 15: (EM) log likelihood = -29164.439
Iteration 16: (EM) log likelihood = -29128.042
Iteration 17: (EM) log likelihood = -29094.66
Iteration 18: (EM) log likelihood = -29062.826
Iteration 19: (EM) log likelihood = -29033.099
Iteration 20: (EM) log likelihood = -29005.061
Iteration 21: (EM) log likelihood = -28979.542
Iteration 22: (EM) log likelihood = -28955.958
Iteration 23: (EM) log likelihood = -28934.142
Iteration 24: (EM) log likelihood = -28915.536
Iteration 25: (EM) log likelihood = -28898.735
Iteration 26: (EM) log likelihood = -28883.594
Iteration 27: (EM) log likelihood = -28870.714
Iteration 28: (EM) log likelihood = -28859.84
Iteration 29: (EM) log likelihood = -28851.42
Iteration 30: (EM) log likelihood = -28844.696
Iteration 31: (EM) log likelihood = -28838.999
Iteration 32: (EM) log likelihood = -28835.055
Iteration 33: (EM) log likelihood = -28832.224
Iteration 34: (EM) log likelihood = -28830.179
Iteration 35: (EM) log likelihood = -28828.85
Iteration 36: (EM) log likelihood = -28828.068
Iteration 37: (EM) log likelihood = -28827.437
Iteration 38: (EM) log likelihood = -28826.984
Iteration 39: (EM) log likelihood = -28826.927
Iteration 40: (EM) log likelihood = -28827.661
Iteration 41: (EM) log likelihood = -28827.729
Iteration 42: (EM) log likelihood = -28828.214
Iteration 43: (EM) log likelihood = -28828.274
Iteration 44: (EM) log likelihood = -28826.075
Iteration 45: (EM) log likelihood = -28826.964
Iteration 46: (EM) log likelihood = -28827.476
Iteration 47: (EM) log likelihood = -28827.533
Iteration 48: (EM) log likelihood = -28823.383
Iteration 49: (EM) log likelihood = -28824.687
Iteration 50: (EM) log likelihood = -28825.093
Iteration 51: (EM) log likelihood = -28825.262
Iteration 52: (EM) log likelihood = -28823.925
Iteration 53: (EM) log likelihood = -28822.174
Iteration 54: (EM) log likelihood = -28820.418
Iteration 55: (EM) log likelihood = -28818.919
Iteration 56: (EM) log likelihood = -28816.394
Iteration 57: (EM) log likelihood = -28813.286
Iteration 58: (EM) log likelihood = -28809.829
Iteration 59: (EM) log likelihood = -28805.978
Iteration 60: (EM) log likelihood = -28801.931
Iteration 61: (EM) log likelihood = -28797.785
Iteration 62: (EM) log likelihood = -28792.482
Iteration 63: (EM) log likelihood = -28786.248
Iteration 64: (EM) log likelihood = -28780.094
Iteration 65: (EM) log likelihood = -28774.091
Iteration 66: (EM) log likelihood = -28767.816
Iteration 67: (EM) log likelihood = -28761.545
Iteration 68: (EM) log likelihood = -28754.821
Iteration 69: (EM) log likelihood = -28747.822
Iteration 70: (EM) log likelihood = -28741.204
Iteration 71: (EM) log likelihood = -28735.009
Iteration 72: (EM) log likelihood = -28728.586
Iteration 73: (EM) log likelihood = -28719.04
Iteration 74: (EM) log likelihood = -28711.282
Iteration 75: (EM) log likelihood = -28704.714
Iteration 76: (EM) log likelihood = -28699.032
Iteration 77: (EM) log likelihood = -28693.32
Iteration 78: (EM) log likelihood = -28687.411
Iteration 79: (EM) log likelihood = -28682.195
Iteration 80: (EM) log likelihood = -28677.555
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5249.8235
Iteration 1: (class) log likelihood = -5249.8235
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29721.53
Iteration 1: (outcome) log likelihood = -29294.505
Iteration 2: (outcome) log likelihood = -29159.547
Iteration 3: (outcome) log likelihood = -29137.645
Iteration 4: (outcome) log likelihood = -29132.621
Iteration 5: (outcome) log likelihood = -29131.565
Iteration 6: (outcome) log likelihood = -29131.387
Iteration 7: (outcome) log likelihood = -29131.367
Iteration 8: (outcome) log likelihood = -29131.363
Iteration 9: (outcome) log likelihood = -29131.363
Iteration 10: (outcome) log likelihood = -29131.362
Iteration 11: (outcome) log likelihood = -29131.362
Iteration 12: (outcome) log likelihood = -29131.362
Refining starting values:
Iteration 0: (EM) log likelihood = -34370.457
Iteration 1: (EM) log likelihood = -34341.608
Iteration 2: (EM) log likelihood = -34275.611
Iteration 3: (EM) log likelihood = -34109.121
Iteration 4: (EM) log likelihood = -33648.138
Iteration 5: (EM) log likelihood = -32635.227
Iteration 6: (EM) log likelihood = -31435.304
Iteration 7: (EM) log likelihood = -30576.399
Iteration 8: (EM) log likelihood = -30045.49
Iteration 9: (EM) log likelihood = -29739.209
Iteration 10: (EM) log likelihood = -29566.227
Iteration 11: (EM) log likelihood = -29461.253
Iteration 12: (EM) log likelihood = -29397.004
Iteration 13: (EM) log likelihood = -29354.409
Iteration 14: (EM) log likelihood = -29325.783
Iteration 15: (EM) log likelihood = -29305.856
Iteration 16: (EM) log likelihood = -29291.962
Iteration 17: (EM) log likelihood = -29281.161
Iteration 18: (EM) log likelihood = -29272.174
Iteration 19: (EM) log likelihood = -29264.183
Iteration 20: (EM) log likelihood = -29256.439
Iteration 21: (EM) log likelihood = -29249.519
Iteration 22: (EM) log likelihood = -29241.691
Iteration 23: (EM) log likelihood = -29233.309
Iteration 24: (EM) log likelihood = -29225.986
Iteration 25: (EM) log likelihood = -29214.606
Iteration 26: (EM) log likelihood = -29203.674
Iteration 27: (EM) log likelihood = -29191.941
Iteration 28: (EM) log likelihood = -29177.961
Iteration 29: (EM) log likelihood = -29165.368
Iteration 30: (EM) log likelihood = -29148.424
Iteration 31: (EM) log likelihood = -29131.875
Iteration 32: (EM) log likelihood = -29112.824
Iteration 33: (EM) log likelihood = -29093.081
Iteration 34: (EM) log likelihood = -29073.324
Iteration 35: (EM) log likelihood = -29055.508
Iteration 36: (EM) log likelihood = -29035.93
Iteration 37: (EM) log likelihood = -29019.161
Iteration 38: (EM) log likelihood = -29003.98
Iteration 39: (EM) log likelihood = -28990.096
Iteration 40: (EM) log likelihood = -28978.459
Iteration 41: (EM) log likelihood = -28967.767
Iteration 42: (EM) log likelihood = -28962.153
Iteration 43: (EM) log likelihood = -28954.95
Iteration 44: (EM) log likelihood = -28949.402
Iteration 45: (EM) log likelihood = -28944.047
Iteration 46: (EM) log likelihood = -28940.791
Iteration 47: (EM) log likelihood = -28934.866
Iteration 48: (EM) log likelihood = -28931.399
Iteration 49: (EM) log likelihood = -28927.772
Iteration 50: (EM) log likelihood = -28923.876
Iteration 51: (EM) log likelihood = -28921.393
Iteration 52: (EM) log likelihood = -28918.815
Iteration 53: (EM) log likelihood = -28916.405
Iteration 54: (EM) log likelihood = -28912.836
Iteration 55: (EM) log likelihood = -28909.293
Iteration 56: (EM) log likelihood = -28905.75
Iteration 57: (EM) log likelihood = -28902.52
Iteration 58: (EM) log likelihood = -28899.622
Iteration 59: (EM) log likelihood = -28895.294
Iteration 60: (EM) log likelihood = -28890.967
Iteration 61: (EM) log likelihood = -28885.603
Iteration 62: (EM) log likelihood = -28882.342
Iteration 63: (EM) log likelihood = -28877.716
Iteration 64: (EM) log likelihood = -28873.851
Iteration 65: (EM) log likelihood = -28868.555
Iteration 66: (EM) log likelihood = -28864.153
Iteration 67: (EM) log likelihood = -28860.069
Iteration 68: (EM) log likelihood = -28855.747
Iteration 69: (EM) log likelihood = -28851.265
Iteration 70: (EM) log likelihood = -28846.525
Iteration 71: (EM) log likelihood = -28843.12
Iteration 72: (EM) log likelihood = -28838.023
Iteration 73: (EM) log likelihood = -28832.433
Iteration 74: (EM) log likelihood = -28827.635
Iteration 75: (EM) log likelihood = -28822.617
Iteration 76: (EM) log likelihood = -28817.678
Iteration 77: (EM) log likelihood = -28812.767
Iteration 78: (EM) log likelihood = -28807.773
Iteration 79: (EM) log likelihood = -28802.587
Iteration 80: (EM) log likelihood = -28797.203
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.0777
Iteration 1: (class) log likelihood = -5252.0777
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29423.55
Iteration 1: (outcome) log likelihood = -29210.286
Iteration 2: (outcome) log likelihood = -29145.813
Iteration 3: (outcome) log likelihood = -29134.76
Iteration 4: (outcome) log likelihood = -29132.479
Iteration 5: (outcome) log likelihood = -29132.002
Iteration 6: (outcome) log likelihood = -29131.895
Iteration 7: (outcome) log likelihood = -29131.868
Iteration 8: (outcome) log likelihood = -29131.863
Iteration 9: (outcome) log likelihood = -29131.862
Iteration 10: (outcome) log likelihood = -29131.861
Iteration 11: (outcome) log likelihood = -29131.861
Iteration 12: (outcome) log likelihood = -29131.861
Refining starting values:
Iteration 0: (EM) log likelihood = -34358.11
Iteration 1: (EM) log likelihood = -34267.048
Iteration 2: (EM) log likelihood = -34003.085
Iteration 3: (EM) log likelihood = -33420.931
Iteration 4: (EM) log likelihood = -32499.461
Iteration 5: (EM) log likelihood = -31549.146
Iteration 6: (EM) log likelihood = -30911.67
Iteration 7: (EM) log likelihood = -30533.495
Iteration 8: (EM) log likelihood = -30301.38
Iteration 9: (EM) log likelihood = -30136.142
Iteration 10: (EM) log likelihood = -30002.472
Iteration 11: (EM) log likelihood = -29887.583
Iteration 12: (EM) log likelihood = -29781.518
Iteration 13: (EM) log likelihood = -29677.027
Iteration 14: (EM) log likelihood = -29575.274
Iteration 15: (EM) log likelihood = -29480.982
Iteration 16: (EM) log likelihood = -29394.677
Iteration 17: (EM) log likelihood = -29318.46
Iteration 18: (EM) log likelihood = -29258.698
Iteration 19: (EM) log likelihood = -29215.526
Iteration 20: (EM) log likelihood = -29185.193
Iteration 21: (EM) log likelihood = -29162.849
Iteration 22: (EM) log likelihood = -29143.429
Iteration 23: (EM) log likelihood = -29127.324
Iteration 24: (EM) log likelihood = -29111.143
Iteration 25: (EM) log likelihood = -29095.212
Iteration 26: (EM) log likelihood = -29081.691
Iteration 27: (EM) log likelihood = -29067.871
Iteration 28: (EM) log likelihood = -29054.097
Iteration 29: (EM) log likelihood = -29041.021
Iteration 30: (EM) log likelihood = -29030.267
Iteration 31: (EM) log likelihood = -29019.549
Iteration 32: (EM) log likelihood = -29008.483
Iteration 33: (EM) log likelihood = -28997.797
Iteration 34: (EM) log likelihood = -28985.34
Iteration 35: (EM) log likelihood = -28973.691
Iteration 36: (EM) log likelihood = -28963.848
Iteration 37: (EM) log likelihood = -28952.737
Iteration 38: (EM) log likelihood = -28941.227
Iteration 39: (EM) log likelihood = -28931.455
Iteration 40: (EM) log likelihood = -28921.599
Iteration 41: (EM) log likelihood = -28911.449
Iteration 42: (EM) log likelihood = -28901.379
Iteration 43: (EM) log likelihood = -28891.996
Iteration 44: (EM) log likelihood = -28885.14
Iteration 45: (EM) log likelihood = -28876.304
Iteration 46: (EM) log likelihood = -28867.999
Iteration 47: (EM) log likelihood = -28859.897
Iteration 48: (EM) log likelihood = -28852.5
Iteration 49: (EM) log likelihood = -28844.425
Iteration 50: (EM) log likelihood = -28834.323
Iteration 51: (EM) log likelihood = -28828.163
Iteration 52: (EM) log likelihood = -28821.689
Iteration 53: (EM) log likelihood = -28814.787
Iteration 54: (EM) log likelihood = -28808.669
Iteration 55: (EM) log likelihood = -28802.229
Iteration 56: (EM) log likelihood = -28796.529
Iteration 57: (EM) log likelihood = -28790.471
Iteration 58: (EM) log likelihood = -28785.485
Iteration 59: (EM) log likelihood = -28778.958
Iteration 60: (EM) log likelihood = -28774.558
Iteration 61: (EM) log likelihood = -28768.827
Iteration 62: (EM) log likelihood = -28764.703
Iteration 63: (EM) log likelihood = -28760.59
Iteration 64: (EM) log likelihood = -28755.913
Iteration 65: (EM) log likelihood = -28751.612
Iteration 66: (EM) log likelihood = -28748.101
Iteration 67: (EM) log likelihood = -28744.594
Iteration 68: (EM) log likelihood = -28740.828
Iteration 69: (EM) log likelihood = -28736.378
Iteration 70: (EM) log likelihood = -28733.086
Iteration 71: (EM) log likelihood = -28728.143
Iteration 72: (EM) log likelihood = -28725.217
Iteration 73: (EM) log likelihood = -28722.524
Iteration 74: (EM) log likelihood = -28717.166
Iteration 75: (EM) log likelihood = -28711.195
Iteration 76: (EM) log likelihood = -28707.398
Iteration 77: (EM) log likelihood = -28704.11
Iteration 78: (EM) log likelihood = -28700.083
Iteration 79: (EM) log likelihood = -28695.294
Iteration 80: (EM) log likelihood = -28691.876
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.4116
Iteration 1: (class) log likelihood = -5252.4116
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29121.131
Iteration 1: (outcome) log likelihood = -29121.131
Refining starting values:
Iteration 0: (EM) log likelihood = -34353.242
Iteration 1: (EM) log likelihood = -34262.448
Iteration 2: (EM) log likelihood = -33937.03
Iteration 3: (EM) log likelihood = -33164.301
Iteration 4: (EM) log likelihood = -32200.064
Iteration 5: (EM) log likelihood = -31436.592
Iteration 6: (EM) log likelihood = -30890.471
Iteration 7: (EM) log likelihood = -30501.27
Iteration 8: (EM) log likelihood = -30233.445
Iteration 9: (EM) log likelihood = -30030.963
Iteration 10: (EM) log likelihood = -29851.033
Iteration 11: (EM) log likelihood = -29680.034
Iteration 12: (EM) log likelihood = -29526.313
Iteration 13: (EM) log likelihood = -29395.809
Iteration 14: (EM) log likelihood = -29293.992
Iteration 15: (EM) log likelihood = -29215.322
Iteration 16: (EM) log likelihood = -29154.369
Iteration 17: (EM) log likelihood = -29107.236
Iteration 18: (EM) log likelihood = -29068.755
Iteration 19: (EM) log likelihood = -29036.58
Iteration 20: (EM) log likelihood = -29008.623
Iteration 21: (EM) log likelihood = -28984.187
Iteration 22: (EM) log likelihood = -28962.332
Iteration 23: (EM) log likelihood = -28942.637
Iteration 24: (EM) log likelihood = -28925.299
Iteration 25: (EM) log likelihood = -28909.654
Iteration 26: (EM) log likelihood = -28894.643
Iteration 27: (EM) log likelihood = -28880.626
Iteration 28: (EM) log likelihood = -28867.212
Iteration 29: (EM) log likelihood = -28854.221
Iteration 30: (EM) log likelihood = -28841.083
Iteration 31: (EM) log likelihood = -28828.112
Iteration 32: (EM) log likelihood = -28815.063
Iteration 33: (EM) log likelihood = -28801.991
Iteration 34: (EM) log likelihood = -28788.963
Iteration 35: (EM) log likelihood = -28775.887
Iteration 36: (EM) log likelihood = -28762.698
Iteration 37: (EM) log likelihood = -28749.484
Iteration 38: (EM) log likelihood = -28736.303
Iteration 39: (EM) log likelihood = -28724.42
Iteration 40: (EM) log likelihood = -28710.429
Iteration 41: (EM) log likelihood = -28697.547
Iteration 42: (EM) log likelihood = -28684.169
Iteration 43: (EM) log likelihood = -28671.765
Iteration 44: (EM) log likelihood = -28659.95
Iteration 45: (EM) log likelihood = -28649.161
Iteration 46: (EM) log likelihood = -28637.199
Iteration 47: (EM) log likelihood = -28626.189
Iteration 48: (EM) log likelihood = -28615.059
Iteration 49: (EM) log likelihood = -28604.092
Iteration 50: (EM) log likelihood = -28593.552
Iteration 51: (EM) log likelihood = -28583.315
Iteration 52: (EM) log likelihood = -28573.086
Iteration 53: (EM) log likelihood = -28563.132
Iteration 54: (EM) log likelihood = -28554.272
Iteration 55: (EM) log likelihood = -28544.238
Iteration 56: (EM) log likelihood = -28534.806
Iteration 57: (EM) log likelihood = -28525.694
Iteration 58: (EM) log likelihood = -28517.498
Iteration 59: (EM) log likelihood = -28508.498
Iteration 60: (EM) log likelihood = -28499.383
Iteration 61: (EM) log likelihood = -28490.491
Iteration 62: (EM) log likelihood = -28482.037
Iteration 63: (EM) log likelihood = -28473.3
Iteration 64: (EM) log likelihood = -28465.985
Iteration 65: (EM) log likelihood = -28458.338
Iteration 66: (EM) log likelihood = -28451.051
Iteration 67: (EM) log likelihood = -28443.416
Iteration 68: (EM) log likelihood = -28436.232
Iteration 69: (EM) log likelihood = -28427.968
Iteration 70: (EM) log likelihood = -28421.296
Iteration 71: (EM) log likelihood = -28414.651
Iteration 72: (EM) log likelihood = -28405.064
Iteration 73: (EM) log likelihood = -28398.441
Iteration 74: (EM) log likelihood = -28391.301
Iteration 75: (EM) log likelihood = -28384.475
Iteration 76: (EM) log likelihood = -28377.119
Iteration 77: (EM) log likelihood = -28371.175
Iteration 78: (EM) log likelihood = -28365.908
Iteration 79: (EM) log likelihood = -28360.221
Iteration 80: (EM) log likelihood = -28352.742
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.207
Iteration 1: (class) log likelihood = -5251.207
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29137.436
Iteration 1: (outcome) log likelihood = -29137.436
Refining starting values:
Iteration 0: (EM) log likelihood = -34381.894
Iteration 1: (EM) log likelihood = -34347.455
Iteration 2: (EM) log likelihood = -34230.761
Iteration 3: (EM) log likelihood = -33905.265
Iteration 4: (EM) log likelihood = -33255.639
Iteration 5: (EM) log likelihood = -32380.572
Iteration 6: (EM) log likelihood = -31540.882
Iteration 7: (EM) log likelihood = -30827.431
Iteration 8: (EM) log likelihood = -30230.608
Iteration 9: (EM) log likelihood = -29780.683
Iteration 10: (EM) log likelihood = -29495.998
Iteration 11: (EM) log likelihood = -29336.887
Iteration 12: (EM) log likelihood = -29248.827
Iteration 13: (EM) log likelihood = -29195.32
Iteration 14: (EM) log likelihood = -29158.252
Iteration 15: (EM) log likelihood = -29128.472
Iteration 16: (EM) log likelihood = -29099.791
Iteration 17: (EM) log likelihood = -29070.217
Iteration 18: (EM) log likelihood = -29037.925
Iteration 19: (EM) log likelihood = -29003.954
Iteration 20: (EM) log likelihood = -28966.057
Iteration 21: (EM) log likelihood = -28926.927
Iteration 22: (EM) log likelihood = -28887.225
Iteration 23: (EM) log likelihood = -28851.344
Iteration 24: (EM) log likelihood = -28817.617
Iteration 25: (EM) log likelihood = -28787.55
Iteration 26: (EM) log likelihood = -28761.09
Iteration 27: (EM) log likelihood = -28738.174
Iteration 28: (EM) log likelihood = -28717.804
Iteration 29: (EM) log likelihood = -28700.567
Iteration 30: (EM) log likelihood = -28684.636
Iteration 31: (EM) log likelihood = -28670.516
Iteration 32: (EM) log likelihood = -28656.814
Iteration 33: (EM) log likelihood = -28643.483
Iteration 34: (EM) log likelihood = -28629.7
Iteration 35: (EM) log likelihood = -28616.008
Iteration 36: (EM) log likelihood = -28603.295
Iteration 37: (EM) log likelihood = -28590.178
Iteration 38: (EM) log likelihood = -28577.78
Iteration 39: (EM) log likelihood = -28565.38
Iteration 40: (EM) log likelihood = -28553.781
Iteration 41: (EM) log likelihood = -28542.339
Iteration 42: (EM) log likelihood = -28531.112
Iteration 43: (EM) log likelihood = -28520.242
Iteration 44: (EM) log likelihood = -28509.589
Iteration 45: (EM) log likelihood = -28498.95
Iteration 46: (EM) log likelihood = -28488.52
Iteration 47: (EM) log likelihood = -28478.757
Iteration 48: (EM) log likelihood = -28469.07
Iteration 49: (EM) log likelihood = -28458.508
Iteration 50: (EM) log likelihood = -28449.183
Iteration 51: (EM) log likelihood = -28439.844
Iteration 52: (EM) log likelihood = -28430.908
Iteration 53: (EM) log likelihood = -28422.101
Iteration 54: (EM) log likelihood = -28413.548
Iteration 55: (EM) log likelihood = -28404.992
Iteration 56: (EM) log likelihood = -28396.244
Iteration 57: (EM) log likelihood = -28387.98
Iteration 58: (EM) log likelihood = -28380.287
Iteration 59: (EM) log likelihood = -28372.806
Iteration 60: (EM) log likelihood = -28365.471
Iteration 61: (EM) log likelihood = -28358.366
Iteration 62: (EM) log likelihood = -28351.441
Iteration 63: (EM) log likelihood = -28344.567
Iteration 64: (EM) log likelihood = -28337.895
Iteration 65: (EM) log likelihood = -28331.408
Iteration 66: (EM) log likelihood = -28325.038
Iteration 67: (EM) log likelihood = -28318.371
Iteration 68: (EM) log likelihood = -28312.462
Iteration 69: (EM) log likelihood = -28306.326
Iteration 70: (EM) log likelihood = -28300.922
Iteration 71: (EM) log likelihood = -28295.376
Iteration 72: (EM) log likelihood = -28289.724
Iteration 73: (EM) log likelihood = -28284.005
Iteration 74: (EM) log likelihood = -28278.946
Iteration 75: (EM) log likelihood = -28273.684
Iteration 76: (EM) log likelihood = -28268.702
Iteration 77: (EM) log likelihood = -28263.865
Iteration 78: (EM) log likelihood = -28258.955
Iteration 79: (EM) log likelihood = -28254.051
Iteration 80: (EM) log likelihood = -28249.436
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5250.3423
Iteration 1: (class) log likelihood = -5250.3423
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29424.25
Iteration 1: (outcome) log likelihood = -29218.612
Iteration 2: (outcome) log likelihood = -29152.275
Iteration 3: (outcome) log likelihood = -29142.221
Iteration 4: (outcome) log likelihood = -29139.803
Iteration 5: (outcome) log likelihood = -29139.322
Iteration 6: (outcome) log likelihood = -29139.236
Iteration 7: (outcome) log likelihood = -29139.227
Iteration 8: (outcome) log likelihood = -29139.225
Iteration 9: (outcome) log likelihood = -29139.225
Iteration 10: (outcome) log likelihood = -29139.225
Iteration 11: (outcome) log likelihood = -29139.224
Refining starting values:
Iteration 0: (EM) log likelihood = -34370.498
Iteration 1: (EM) log likelihood = -34294.435
Iteration 2: (EM) log likelihood = -34028.302
Iteration 3: (EM) log likelihood = -33361.619
Iteration 4: (EM) log likelihood = -32417.366
Iteration 5: (EM) log likelihood = -31603.641
Iteration 6: (EM) log likelihood = -31058.491
Iteration 7: (EM) log likelihood = -30709.801
Iteration 8: (EM) log likelihood = -30480.235
Iteration 9: (EM) log likelihood = -30303.806
Iteration 10: (EM) log likelihood = -30141.735
Iteration 11: (EM) log likelihood = -29988.398
Iteration 12: (EM) log likelihood = -29847.444
Iteration 13: (EM) log likelihood = -29722.896
Iteration 14: (EM) log likelihood = -29619.722
Iteration 15: (EM) log likelihood = -29536.914
Iteration 16: (EM) log likelihood = -29470.789
Iteration 17: (EM) log likelihood = -29419.693
Iteration 18: (EM) log likelihood = -29380.503
Iteration 19: (EM) log likelihood = -29347.583
Iteration 20: (EM) log likelihood = -29316.441
Iteration 21: (EM) log likelihood = -29291.22
Iteration 22: (EM) log likelihood = -29274.411
Iteration 23: (EM) log likelihood = -29262.429
Iteration 24: (EM) log likelihood = -29252.855
Iteration 25: (EM) log likelihood = -29243.569
Iteration 26: (EM) log likelihood = -29233.828
Iteration 27: (EM) log likelihood = -29222.814
Iteration 28: (EM) log likelihood = -29211.458
Iteration 29: (EM) log likelihood = -29198.777
Iteration 30: (EM) log likelihood = -29183.998
Iteration 31: (EM) log likelihood = -29168.568
Iteration 32: (EM) log likelihood = -29153.338
Iteration 33: (EM) log likelihood = -29137.062
Iteration 34: (EM) log likelihood = -29119.838
Iteration 35: (EM) log likelihood = -29102.323
Iteration 36: (EM) log likelihood = -29084.737
Iteration 37: (EM) log likelihood = -29066.752
Iteration 38: (EM) log likelihood = -29048.051
Iteration 39: (EM) log likelihood = -29029.648
Iteration 40: (EM) log likelihood = -29011.233
Iteration 41: (EM) log likelihood = -28993.584
Iteration 42: (EM) log likelihood = -28976.25
Iteration 43: (EM) log likelihood = -28959.896
Iteration 44: (EM) log likelihood = -28944.19
Iteration 45: (EM) log likelihood = -28929.929
Iteration 46: (EM) log likelihood = -28916.574
Iteration 47: (EM) log likelihood = -28904.636
Iteration 48: (EM) log likelihood = -28893.478
Iteration 49: (EM) log likelihood = -28883.239
Iteration 50: (EM) log likelihood = -28873.374
Iteration 51: (EM) log likelihood = -28865.906
Iteration 52: (EM) log likelihood = -28859.199
Iteration 53: (EM) log likelihood = -28853.327
Iteration 54: (EM) log likelihood = -28847.903
Iteration 55: (EM) log likelihood = -28843.542
Iteration 56: (EM) log likelihood = -28839.386
Iteration 57: (EM) log likelihood = -28835.846
Iteration 58: (EM) log likelihood = -28832.831
Iteration 59: (EM) log likelihood = -28830.081
Iteration 60: (EM) log likelihood = -28827.067
Iteration 61: (EM) log likelihood = -28825.046
Iteration 62: (EM) log likelihood = -28823.386
Iteration 63: (EM) log likelihood = -28821.77
Iteration 64: (EM) log likelihood = -28820.077
Iteration 65: (EM) log likelihood = -28818.692
Iteration 66: (EM) log likelihood = -28817.211
Iteration 67: (EM) log likelihood = -28815.792
Iteration 68: (EM) log likelihood = -28814.417
Iteration 69: (EM) log likelihood = -28812.948
Iteration 70: (EM) log likelihood = -28811.321
Iteration 71: (EM) log likelihood = -28810.137
Iteration 72: (EM) log likelihood = -28808.511
Iteration 73: (EM) log likelihood = -28806.767
Iteration 74: (EM) log likelihood = -28805.073
Iteration 75: (EM) log likelihood = -28803.365
Iteration 76: (EM) log likelihood = -28801.531
Iteration 77: (EM) log likelihood = -28799.598
Iteration 78: (EM) log likelihood = -28797.608
Iteration 79: (EM) log likelihood = -28795.497
Iteration 80: (EM) log likelihood = -28793.08
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.2311
Iteration 1: (class) log likelihood = -5252.2311
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29982.425
Iteration 1: (outcome) log likelihood = -29315.257
Iteration 2: (outcome) log likelihood = -29167.811
Iteration 3: (outcome) log likelihood = -29143.787
Iteration 4: (outcome) log likelihood = -29139.241
Iteration 5: (outcome) log likelihood = -29138.238
Iteration 6: (outcome) log likelihood = -29138.006
Iteration 7: (outcome) log likelihood = -29137.951
Iteration 8: (outcome) log likelihood = -29137.94
Iteration 9: (outcome) log likelihood = -29137.938
Iteration 10: (outcome) log likelihood = -29137.938
Iteration 11: (outcome) log likelihood = -29137.938
Iteration 12: (outcome) log likelihood = -29137.938
Refining starting values:
Iteration 0: (EM) log likelihood = -34376.71
Iteration 1: (EM) log likelihood = -34318.524
Iteration 2: (EM) log likelihood = -34128.324
Iteration 3: (EM) log likelihood = -33659.982
Iteration 4: (EM) log likelihood = -32850.3
Iteration 5: (EM) log likelihood = -31871.198
Iteration 6: (EM) log likelihood = -31023.906
Iteration 7: (EM) log likelihood = -30404.829
Iteration 8: (EM) log likelihood = -29992.319
Iteration 9: (EM) log likelihood = -29736.083
Iteration 10: (EM) log likelihood = -29559.975
Iteration 11: (EM) log likelihood = -29409.295
Iteration 12: (EM) log likelihood = -29275.63
Iteration 13: (EM) log likelihood = -29170.075
Iteration 14: (EM) log likelihood = -29092.752
Iteration 15: (EM) log likelihood = -29037.917
Iteration 16: (EM) log likelihood = -28997.74
Iteration 17: (EM) log likelihood = -28967.659
Iteration 18: (EM) log likelihood = -28944.494
Iteration 19: (EM) log likelihood = -28926.103
Iteration 20: (EM) log likelihood = -28911.59
Iteration 21: (EM) log likelihood = -28900.093
Iteration 22: (EM) log likelihood = -28890.554
Iteration 23: (EM) log likelihood = -28882.368
Iteration 24: (EM) log likelihood = -28875.702
Iteration 25: (EM) log likelihood = -28869.862
Iteration 26: (EM) log likelihood = -28864.838
Iteration 27: (EM) log likelihood = -28860.276
Iteration 28: (EM) log likelihood = -28856.265
Iteration 29: (EM) log likelihood = -28852.684
Iteration 30: (EM) log likelihood = -28849.377
Iteration 31: (EM) log likelihood = -28846.292
Iteration 32: (EM) log likelihood = -28843.28
Iteration 33: (EM) log likelihood = -28840.628
Iteration 34: (EM) log likelihood = -28838.064
Iteration 35: (EM) log likelihood = -28835.723
Iteration 36: (EM) log likelihood = -28833.392
Iteration 37: (EM) log likelihood = -28830.788
Iteration 38: (EM) log likelihood = -28828.662
Iteration 39: (EM) log likelihood = -28826.503
Iteration 40: (EM) log likelihood = -28824.167
Iteration 41: (EM) log likelihood = -28821.411
Iteration 42: (EM) log likelihood = -28819.144
Iteration 43: (EM) log likelihood = -28816.952
Iteration 44: (EM) log likelihood = -28814.685
Iteration 45: (EM) log likelihood = -28812.266
Iteration 46: (EM) log likelihood = -28809.826
Iteration 47: (EM) log likelihood = -28807.282
Iteration 48: (EM) log likelihood = -28804.5
Iteration 49: (EM) log likelihood = -28801.915
Iteration 50: (EM) log likelihood = -28799.221
Iteration 51: (EM) log likelihood = -28796.72
Iteration 52: (EM) log likelihood = -28793.991
Iteration 53: (EM) log likelihood = -28791.096
Iteration 54: (EM) log likelihood = -28788.196
Iteration 55: (EM) log likelihood = -28785.318
Iteration 56: (EM) log likelihood = -28782.366
Iteration 57: (EM) log likelihood = -28779.42
Iteration 58: (EM) log likelihood = -28776.519
Iteration 59: (EM) log likelihood = -28773.48
Iteration 60: (EM) log likelihood = -28771.563
Iteration 61: (EM) log likelihood = -28767.973
Iteration 62: (EM) log likelihood = -28764.558
Iteration 63: (EM) log likelihood = -28761.202
Iteration 64: (EM) log likelihood = -28757.406
Iteration 65: (EM) log likelihood = -28754.298
Iteration 66: (EM) log likelihood = -28750.477
Iteration 67: (EM) log likelihood = -28747.285
Iteration 68: (EM) log likelihood = -28743.984
Iteration 69: (EM) log likelihood = -28740.635
Iteration 70: (EM) log likelihood = -28737.346
Iteration 71: (EM) log likelihood = -28733.367
Iteration 72: (EM) log likelihood = -28730.253
Iteration 73: (EM) log likelihood = -28727.01
Iteration 74: (EM) log likelihood = -28723.917
Iteration 75: (EM) log likelihood = -28720.856
Iteration 76: (EM) log likelihood = -28717.417
Iteration 77: (EM) log likelihood = -28713.97
Iteration 78: (EM) log likelihood = -28711.077
Iteration 79: (EM) log likelihood = -28707.778
Iteration 80: (EM) log likelihood = -28704.555
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.0908
Iteration 1: (class) log likelihood = -5252.0908
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29130.995
Iteration 1: (outcome) log likelihood = -29130.995
Refining starting values:
Iteration 0: (EM) log likelihood = -34352.851
Iteration 1: (EM) log likelihood = -34234.882
Iteration 2: (EM) log likelihood = -33832.2
Iteration 3: (EM) log likelihood = -32905.962
Iteration 4: (EM) log likelihood = -31816.191
Iteration 5: (EM) log likelihood = -31029.282
Iteration 6: (EM) log likelihood = -30495.511
Iteration 7: (EM) log likelihood = -30142.607
Iteration 8: (EM) log likelihood = -29913.525
Iteration 9: (EM) log likelihood = -29750.8
Iteration 10: (EM) log likelihood = -29624.412
Iteration 11: (EM) log likelihood = -29522.71
Iteration 12: (EM) log likelihood = -29440.931
Iteration 13: (EM) log likelihood = -29371.56
Iteration 14: (EM) log likelihood = -29310.555
Iteration 15: (EM) log likelihood = -29254.548
Iteration 16: (EM) log likelihood = -29201.943
Iteration 17: (EM) log likelihood = -29151.244
Iteration 18: (EM) log likelihood = -29102.212
Iteration 19: (EM) log likelihood = -29054.592
Iteration 20: (EM) log likelihood = -29008.538
Iteration 21: (EM) log likelihood = -28965.035
Iteration 22: (EM) log likelihood = -28923.92
Iteration 23: (EM) log likelihood = -28885.785
Iteration 24: (EM) log likelihood = -28850.551
Iteration 25: (EM) log likelihood = -28817.886
Iteration 26: (EM) log likelihood = -28788.2
Iteration 27: (EM) log likelihood = -28761.045
Iteration 28: (EM) log likelihood = -28735.777
Iteration 29: (EM) log likelihood = -28712.199
Iteration 30: (EM) log likelihood = -28689.954
Iteration 31: (EM) log likelihood = -28669.784
Iteration 32: (EM) log likelihood = -28650.326
Iteration 33: (EM) log likelihood = -28632.623
Iteration 34: (EM) log likelihood = -28616.08
Iteration 35: (EM) log likelihood = -28600.235
Iteration 36: (EM) log likelihood = -28585.572
Iteration 37: (EM) log likelihood = -28571.052
Iteration 38: (EM) log likelihood = -28557.691
Iteration 39: (EM) log likelihood = -28544.737
Iteration 40: (EM) log likelihood = -28532.019
Iteration 41: (EM) log likelihood = -28517.934
Iteration 42: (EM) log likelihood = -28507.109
Iteration 43: (EM) log likelihood = -28496.717
Iteration 44: (EM) log likelihood = -28486.354
Iteration 45: (EM) log likelihood = -28478.415
Iteration 46: (EM) log likelihood = -28468.993
Iteration 47: (EM) log likelihood = -28458.837
Iteration 48: (EM) log likelihood = -28449.591
Iteration 49: (EM) log likelihood = -28441.642
Iteration 50: (EM) log likelihood = -28433.915
Iteration 51: (EM) log likelihood = -28425.968
Iteration 52: (EM) log likelihood = -28418.581
Iteration 53: (EM) log likelihood = -28411.08
Iteration 54: (EM) log likelihood = -28404.031
Iteration 55: (EM) log likelihood = -28397.215
Iteration 56: (EM) log likelihood = -28388.843
Iteration 57: (EM) log likelihood = -28381.338
Iteration 58: (EM) log likelihood = -28374.785
Iteration 59: (EM) log likelihood = -28368.704
Iteration 60: (EM) log likelihood = -28362.315
Iteration 61: (EM) log likelihood = -28356.544
Iteration 62: (EM) log likelihood = -28350.861
Iteration 63: (EM) log likelihood = -28345.243
Iteration 64: (EM) log likelihood = -28339.425
Iteration 65: (EM) log likelihood = -28335.087
Iteration 66: (EM) log likelihood = -28329.428
Iteration 67: (EM) log likelihood = -28326.422
Iteration 68: (EM) log likelihood = -28321.242
Iteration 69: (EM) log likelihood = -28316.221
Iteration 70: (EM) log likelihood = -28309.607
Iteration 71: (EM) log likelihood = -28303.947
Iteration 72: (EM) log likelihood = -28295.512
Iteration 73: (EM) log likelihood = -28289.909
Iteration 74: (EM) log likelihood = -28284.098
Iteration 75: (EM) log likelihood = -28279.063
Iteration 76: (EM) log likelihood = -28273.505
Iteration 77: (EM) log likelihood = -28268.072
Iteration 78: (EM) log likelihood = -28263.75
Iteration 79: (EM) log likelihood = -28258.305
Iteration 80: (EM) log likelihood = -28253.055
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5249.9775
Iteration 1: (class) log likelihood = -5249.9775
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29141.345
Iteration 1: (outcome) log likelihood = -29141.345
Refining starting values:
Iteration 0: (EM) log likelihood = -34391.154
Iteration 1: (EM) log likelihood = -34376.039
Iteration 2: (EM) log likelihood = -34318.594
Iteration 3: (EM) log likelihood = -34117.736
Iteration 4: (EM) log likelihood = -33539.534
Iteration 5: (EM) log likelihood = -32520.197
Iteration 6: (EM) log likelihood = -31481.535
Iteration 7: (EM) log likelihood = -30694.433
Iteration 8: (EM) log likelihood = -30166.527
Iteration 9: (EM) log likelihood = -29842.419
Iteration 10: (EM) log likelihood = -29640.25
Iteration 11: (EM) log likelihood = -29505.246
Iteration 12: (EM) log likelihood = -29415.005
Iteration 13: (EM) log likelihood = -29356.605
Iteration 14: (EM) log likelihood = -29320.768
Iteration 15: (EM) log likelihood = -29295.835
Iteration 16: (EM) log likelihood = -29279.844
Iteration 17: (EM) log likelihood = -29268.735
Iteration 18: (EM) log likelihood = -29260.381
Iteration 19: (EM) log likelihood = -29253.053
Iteration 20: (EM) log likelihood = -29246.393
Iteration 21: (EM) log likelihood = -29239.999
Iteration 22: (EM) log likelihood = -29233.031
Iteration 23: (EM) log likelihood = -29225.303
Iteration 24: (EM) log likelihood = -29215.775
Iteration 25: (EM) log likelihood = -29205.998
Iteration 26: (EM) log likelihood = -29194.851
Iteration 27: (EM) log likelihood = -29183.248
Iteration 28: (EM) log likelihood = -29169.935
Iteration 29: (EM) log likelihood = -29155.555
Iteration 30: (EM) log likelihood = -29140.268
Iteration 31: (EM) log likelihood = -29123.722
Iteration 32: (EM) log likelihood = -29106.025
Iteration 33: (EM) log likelihood = -29088.37
Iteration 34: (EM) log likelihood = -29069.728
Iteration 35: (EM) log likelihood = -29050.442
Iteration 36: (EM) log likelihood = -29030.528
Iteration 37: (EM) log likelihood = -29009.345
Iteration 38: (EM) log likelihood = -28987.1
Iteration 39: (EM) log likelihood = -28963.076
Iteration 40: (EM) log likelihood = -28938.36
Iteration 41: (EM) log likelihood = -28912.295
Iteration 42: (EM) log likelihood = -28886.191
Iteration 43: (EM) log likelihood = -28859.716
Iteration 44: (EM) log likelihood = -28834.065
Iteration 45: (EM) log likelihood = -28810.289
Iteration 46: (EM) log likelihood = -28788.389
Iteration 47: (EM) log likelihood = -28768.187
Iteration 48: (EM) log likelihood = -28749.492
Iteration 49: (EM) log likelihood = -28732.173
Iteration 50: (EM) log likelihood = -28716.156
Iteration 51: (EM) log likelihood = -28700.987
Iteration 52: (EM) log likelihood = -28686.91
Iteration 53: (EM) log likelihood = -28674.019
Iteration 54: (EM) log likelihood = -28661.725
Iteration 55: (EM) log likelihood = -28650.245
Iteration 56: (EM) log likelihood = -28639.208
Iteration 57: (EM) log likelihood = -28629.111
Iteration 58: (EM) log likelihood = -28618.965
Iteration 59: (EM) log likelihood = -28609.863
Iteration 60: (EM) log likelihood = -28600.79
Iteration 61: (EM) log likelihood = -28592.438
Iteration 62: (EM) log likelihood = -28584.193
Iteration 63: (EM) log likelihood = -28576.148
Iteration 64: (EM) log likelihood = -28568.702
Iteration 65: (EM) log likelihood = -28561.651
Iteration 66: (EM) log likelihood = -28554.724
Iteration 67: (EM) log likelihood = -28547.561
Iteration 68: (EM) log likelihood = -28541.444
Iteration 69: (EM) log likelihood = -28535.467
Iteration 70: (EM) log likelihood = -28529.058
Iteration 71: (EM) log likelihood = -28523.45
Iteration 72: (EM) log likelihood = -28518.351
Iteration 73: (EM) log likelihood = -28512.597
Iteration 74: (EM) log likelihood = -28507.353
Iteration 75: (EM) log likelihood = -28502.404
Iteration 76: (EM) log likelihood = -28497.392
Iteration 77: (EM) log likelihood = -28492.344
Iteration 78: (EM) log likelihood = -28487.666
Iteration 79: (EM) log likelihood = -28482.525
Iteration 80: (EM) log likelihood = -28477.659
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5249.4346
Iteration 1: (class) log likelihood = -5249.4346
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29452.983
Iteration 1: (outcome) log likelihood = -29227.637
Iteration 2: (outcome) log likelihood = -29153.898
Iteration 3: (outcome) log likelihood = -29142.561
Iteration 4: (outcome) log likelihood = -29139.907
Iteration 5: (outcome) log likelihood = -29139.36
Iteration 6: (outcome) log likelihood = -29139.268
Iteration 7: (outcome) log likelihood = -29139.258
Iteration 8: (outcome) log likelihood = -29139.256
Iteration 9: (outcome) log likelihood = -29139.255
Iteration 10: (outcome) log likelihood = -29139.255
Iteration 11: (outcome) log likelihood = -29139.255
Refining starting values:
Iteration 0: (EM) log likelihood = -34383.991
Iteration 1: (EM) log likelihood = -34361.949
Iteration 2: (EM) log likelihood = -34282.746
Iteration 3: (EM) log likelihood = -33985.765
Iteration 4: (EM) log likelihood = -33154.111
Iteration 5: (EM) log likelihood = -32078.381
Iteration 6: (EM) log likelihood = -31412.117
Iteration 7: (EM) log likelihood = -31046.835
Iteration 8: (EM) log likelihood = -30795.68
Iteration 9: (EM) log likelihood = -30564.967
Iteration 10: (EM) log likelihood = -30305.435
Iteration 11: (EM) log likelihood = -30040.022
Iteration 12: (EM) log likelihood = -29821.18
Iteration 13: (EM) log likelihood = -29667.215
Iteration 14: (EM) log likelihood = -29559.738
Iteration 15: (EM) log likelihood = -29486.261
Iteration 16: (EM) log likelihood = -29434.532
Iteration 17: (EM) log likelihood = -29398.385
Iteration 18: (EM) log likelihood = -29371.69
Iteration 19: (EM) log likelihood = -29351.911
Iteration 20: (EM) log likelihood = -29336.818
Iteration 21: (EM) log likelihood = -29325.454
Iteration 22: (EM) log likelihood = -29315.768
Iteration 23: (EM) log likelihood = -29307.532
Iteration 24: (EM) log likelihood = -29300.82
Iteration 25: (EM) log likelihood = -29294.892
Iteration 26: (EM) log likelihood = -29290.08
Iteration 27: (EM) log likelihood = -29285.924
Iteration 28: (EM) log likelihood = -29282.266
Iteration 29: (EM) log likelihood = -29278.937
Iteration 30: (EM) log likelihood = -29276.186
Iteration 31: (EM) log likelihood = -29273.654
Iteration 32: (EM) log likelihood = -29271.231
Iteration 33: (EM) log likelihood = -29268.881
Iteration 34: (EM) log likelihood = -29267.068
Iteration 35: (EM) log likelihood = -29265.196
Iteration 36: (EM) log likelihood = -29263.284
Iteration 37: (EM) log likelihood = -29261.142
Iteration 38: (EM) log likelihood = -29258.599
Iteration 39: (EM) log likelihood = -29256.52
Iteration 40: (EM) log likelihood = -29253.946
Iteration 41: (EM) log likelihood = -29251.768
Iteration 42: (EM) log likelihood = -29248.199
Iteration 43: (EM) log likelihood = -29244.445
Iteration 44: (EM) log likelihood = -29240.288
Iteration 45: (EM) log likelihood = -29235.212
Iteration 46: (EM) log likelihood = -29229.753
Iteration 47: (EM) log likelihood = -29223.711
Iteration 48: (EM) log likelihood = -29216.048
Iteration 49: (EM) log likelihood = -29207.248
Iteration 50: (EM) log likelihood = -29197.39
Iteration 51: (EM) log likelihood = -29185.344
Iteration 52: (EM) log likelihood = -29171.652
Iteration 53: (EM) log likelihood = -29156.005
Iteration 54: (EM) log likelihood = -29138.662
Iteration 55: (EM) log likelihood = -29118.844
Iteration 56: (EM) log likelihood = -29097.741
Iteration 57: (EM) log likelihood = -29075.091
Iteration 58: (EM) log likelihood = -29050.86
Iteration 59: (EM) log likelihood = -29026.95
Iteration 60: (EM) log likelihood = -29003.389
Iteration 61: (EM) log likelihood = -28979.216
Iteration 62: (EM) log likelihood = -28955.371
Iteration 63: (EM) log likelihood = -28932.348
Iteration 64: (EM) log likelihood = -28909.145
Iteration 65: (EM) log likelihood = -28886.294
Iteration 66: (EM) log likelihood = -28865.333
Iteration 67: (EM) log likelihood = -28844.75
Iteration 68: (EM) log likelihood = -28824.783
Iteration 69: (EM) log likelihood = -28806.162
Iteration 70: (EM) log likelihood = -28788.228
Iteration 71: (EM) log likelihood = -28771.2
Iteration 72: (EM) log likelihood = -28755.032
Iteration 73: (EM) log likelihood = -28739.951
Iteration 74: (EM) log likelihood = -28725.747
Iteration 75: (EM) log likelihood = -28712.343
Iteration 76: (EM) log likelihood = -28699.603
Iteration 77: (EM) log likelihood = -28688.228
Iteration 78: (EM) log likelihood = -28677.818
Iteration 79: (EM) log likelihood = -28668.065
Iteration 80: (EM) log likelihood = -28659.107
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.2391
Iteration 1: (class) log likelihood = -5252.2391
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29141.721
Iteration 1: (outcome) log likelihood = -29141.721
Refining starting values:
Iteration 0: (EM) log likelihood = -34388.043
Iteration 1: (EM) log likelihood = -34362.661
Iteration 2: (EM) log likelihood = -34275.152
Iteration 3: (EM) log likelihood = -33994.02
Iteration 4: (EM) log likelihood = -33306.062
Iteration 5: (EM) log likelihood = -32278.695
Iteration 6: (EM) log likelihood = -31317.64
Iteration 7: (EM) log likelihood = -30616.28
Iteration 8: (EM) log likelihood = -30109.038
Iteration 9: (EM) log likelihood = -29761.735
Iteration 10: (EM) log likelihood = -29548.523
Iteration 11: (EM) log likelihood = -29418.724
Iteration 12: (EM) log likelihood = -29335.546
Iteration 13: (EM) log likelihood = -29276.785
Iteration 14: (EM) log likelihood = -29231.459
Iteration 15: (EM) log likelihood = -29191.848
Iteration 16: (EM) log likelihood = -29154.918
Iteration 17: (EM) log likelihood = -29118.632
Iteration 18: (EM) log likelihood = -29082.069
Iteration 19: (EM) log likelihood = -29046.397
Iteration 20: (EM) log likelihood = -29012.276
Iteration 21: (EM) log likelihood = -28980.338
Iteration 22: (EM) log likelihood = -28951.523
Iteration 23: (EM) log likelihood = -28926.322
Iteration 24: (EM) log likelihood = -28904.003
Iteration 25: (EM) log likelihood = -28885.011
Iteration 26: (EM) log likelihood = -28869.065
Iteration 27: (EM) log likelihood = -28855.598
Iteration 28: (EM) log likelihood = -28844.303
Iteration 29: (EM) log likelihood = -28834.776
Iteration 30: (EM) log likelihood = -28826.211
Iteration 31: (EM) log likelihood = -28818.487
Iteration 32: (EM) log likelihood = -28812.105
Iteration 33: (EM) log likelihood = -28806.916
Iteration 34: (EM) log likelihood = -28802.266
Iteration 35: (EM) log likelihood = -28798.034
Iteration 36: (EM) log likelihood = -28794.254
Iteration 37: (EM) log likelihood = -28790.221
Iteration 38: (EM) log likelihood = -28787.086
Iteration 39: (EM) log likelihood = -28783.524
Iteration 40: (EM) log likelihood = -28779.978
Iteration 41: (EM) log likelihood = -28776.752
Iteration 42: (EM) log likelihood = -28773.357
Iteration 43: (EM) log likelihood = -28770.017
Iteration 44: (EM) log likelihood = -28766.504
Iteration 45: (EM) log likelihood = -28762.965
Iteration 46: (EM) log likelihood = -28759.505
Iteration 47: (EM) log likelihood = -28756.021
Iteration 48: (EM) log likelihood = -28752.496
Iteration 49: (EM) log likelihood = -28748.961
Iteration 50: (EM) log likelihood = -28745.267
Iteration 51: (EM) log likelihood = -28742.186
Iteration 52: (EM) log likelihood = -28738.602
Iteration 53: (EM) log likelihood = -28734.98
Iteration 54: (EM) log likelihood = -28731.358
Iteration 55: (EM) log likelihood = -28727.761
Iteration 56: (EM) log likelihood = -28724.145
Iteration 57: (EM) log likelihood = -28720.699
Iteration 58: (EM) log likelihood = -28716.705
Iteration 59: (EM) log likelihood = -28712.842
Iteration 60: (EM) log likelihood = -28709.179
Iteration 61: (EM) log likelihood = -28705.53
Iteration 62: (EM) log likelihood = -28701.88
Iteration 63: (EM) log likelihood = -28698.26
Iteration 64: (EM) log likelihood = -28694.435
Iteration 65: (EM) log likelihood = -28690.92
Iteration 66: (EM) log likelihood = -28687.285
Iteration 67: (EM) log likelihood = -28683.668
Iteration 68: (EM) log likelihood = -28680.069
Iteration 69: (EM) log likelihood = -28676.714
Iteration 70: (EM) log likelihood = -28673.115
Iteration 71: (EM) log likelihood = -28669.523
Iteration 72: (EM) log likelihood = -28666.015
Iteration 73: (EM) log likelihood = -28662.509
Iteration 74: (EM) log likelihood = -28659.072
Iteration 75: (EM) log likelihood = -28655.592
Iteration 76: (EM) log likelihood = -28652.167
Iteration 77: (EM) log likelihood = -28648.794
Iteration 78: (EM) log likelihood = -28645.475
Iteration 79: (EM) log likelihood = -28642.198
Iteration 80: (EM) log likelihood = -28638.831
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.1752
Iteration 1: (class) log likelihood = -5251.1752
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29139.582
Iteration 1: (outcome) log likelihood = -29139.582
Refining starting values:
Iteration 0: (EM) log likelihood = -34364.594
Iteration 1: (EM) log likelihood = -34260.12
Iteration 2: (EM) log likelihood = -33898.354
Iteration 3: (EM) log likelihood = -33041.485
Iteration 4: (EM) log likelihood = -32004.834
Iteration 5: (EM) log likelihood = -31271.103
Iteration 6: (EM) log likelihood = -30777.767
Iteration 7: (EM) log likelihood = -30419.738
Iteration 8: (EM) log likelihood = -30163.115
Iteration 9: (EM) log likelihood = -29970.392
Iteration 10: (EM) log likelihood = -29811.143
Iteration 11: (EM) log likelihood = -29672.806
Iteration 12: (EM) log likelihood = -29554.822
Iteration 13: (EM) log likelihood = -29458.805
Iteration 14: (EM) log likelihood = -29385.435
Iteration 15: (EM) log likelihood = -29332.917
Iteration 16: (EM) log likelihood = -29293.471
Iteration 17: (EM) log likelihood = -29263.65
Iteration 18: (EM) log likelihood = -29239.862
Iteration 19: (EM) log likelihood = -29218.859
Iteration 20: (EM) log likelihood = -29198.262
Iteration 21: (EM) log likelihood = -29176.926
Iteration 22: (EM) log likelihood = -29154.545
Iteration 23: (EM) log likelihood = -29129.08
Iteration 24: (EM) log likelihood = -29100.415
Iteration 25: (EM) log likelihood = -29068.015
Iteration 26: (EM) log likelihood = -29031.481
Iteration 27: (EM) log likelihood = -28991.199
Iteration 28: (EM) log likelihood = -28945.044
Iteration 29: (EM) log likelihood = -28899.629
Iteration 30: (EM) log likelihood = -28853.416
Iteration 31: (EM) log likelihood = -28807.487
Iteration 32: (EM) log likelihood = -28763.131
Iteration 33: (EM) log likelihood = -28720.048
Iteration 34: (EM) log likelihood = -28679.687
Iteration 35: (EM) log likelihood = -28641.799
Iteration 36: (EM) log likelihood = -28606.686
Iteration 37: (EM) log likelihood = -28573.043
Iteration 38: (EM) log likelihood = -28543.929
Iteration 39: (EM) log likelihood = -28517.818
Iteration 40: (EM) log likelihood = -28492.742
Iteration 41: (EM) log likelihood = -28470.786
Iteration 42: (EM) log likelihood = -28452.242
Iteration 43: (EM) log likelihood = -28434.49
Iteration 44: (EM) log likelihood = -28417.062
Iteration 45: (EM) log likelihood = -28401.536
Iteration 46: (EM) log likelihood = -28387.348
Iteration 47: (EM) log likelihood = -28374.28
Iteration 48: (EM) log likelihood = -28362.372
Iteration 49: (EM) log likelihood = -28350.778
Iteration 50: (EM) log likelihood = -28339.062
Iteration 51: (EM) log likelihood = -28329.304
Iteration 52: (EM) log likelihood = -28319.627
Iteration 53: (EM) log likelihood = -28308.286
Iteration 54: (EM) log likelihood = -28300.161
Iteration 55: (EM) log likelihood = -28291.393
Iteration 56: (EM) log likelihood = -28283.322
Iteration 57: (EM) log likelihood = -28274.423
Iteration 58: (EM) log likelihood = -28266.764
Iteration 59: (EM) log likelihood = -28261.34
Iteration 60: (EM) log likelihood = -28253.995
Iteration 61: (EM) log likelihood = -28247.432
Iteration 62: (EM) log likelihood = -28240.837
Iteration 63: (EM) log likelihood = -28236.344
Iteration 64: (EM) log likelihood = -28229.193
Iteration 65: (EM) log likelihood = -28220.932
Iteration 66: (EM) log likelihood = -28213.128
Iteration 67: (EM) log likelihood = -28204.952
Iteration 68: (EM) log likelihood = -28198.224
Iteration 69: (EM) log likelihood = -28191.925
Iteration 70: (EM) log likelihood = -28185.792
Iteration 71: (EM) log likelihood = -28176.485
Iteration 72: (EM) log likelihood = -28170.56
Iteration 73: (EM) log likelihood = -28164.65
Iteration 74: (EM) log likelihood = -28159.588
Iteration 75: (EM) log likelihood = -28153.883
Iteration 76: (EM) log likelihood = -28148.701
Iteration 77: (EM) log likelihood = -28143.538
Iteration 78: (EM) log likelihood = -28140.152
Iteration 79: (EM) log likelihood = -28134.826
Iteration 80: (EM) log likelihood = -28130.168
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.899
Iteration 1: (class) log likelihood = -5251.899
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29134.578
Iteration 1: (outcome) log likelihood = -29134.578
Refining starting values:
Iteration 0: (EM) log likelihood = -34372.432
Iteration 1: (EM) log likelihood = -34315.784
Iteration 2: (EM) log likelihood = -34124.075
Iteration 3: (EM) log likelihood = -33605.981
Iteration 4: (EM) log likelihood = -32773.227
Iteration 5: (EM) log likelihood = -31985.033
Iteration 6: (EM) log likelihood = -31358.63
Iteration 7: (EM) log likelihood = -30839.249
Iteration 8: (EM) log likelihood = -30405.004
Iteration 9: (EM) log likelihood = -30070.295
Iteration 10: (EM) log likelihood = -29836.693
Iteration 11: (EM) log likelihood = -29679.851
Iteration 12: (EM) log likelihood = -29572.473
Iteration 13: (EM) log likelihood = -29495.828
Iteration 14: (EM) log likelihood = -29434.051
Iteration 15: (EM) log likelihood = -29378.255
Iteration 16: (EM) log likelihood = -29324.053
Iteration 17: (EM) log likelihood = -29271.46
Iteration 18: (EM) log likelihood = -29220.869
Iteration 19: (EM) log likelihood = -29172.111
Iteration 20: (EM) log likelihood = -29125.762
Iteration 21: (EM) log likelihood = -29085.794
Iteration 22: (EM) log likelihood = -29049.78
Iteration 23: (EM) log likelihood = -29017.835
Iteration 24: (EM) log likelihood = -28989.777
Iteration 25: (EM) log likelihood = -28965.89
Iteration 26: (EM) log likelihood = -28944.026
Iteration 27: (EM) log likelihood = -28924.335
Iteration 28: (EM) log likelihood = -28906.674
Iteration 29: (EM) log likelihood = -28889.9
Iteration 30: (EM) log likelihood = -28873.425
Iteration 31: (EM) log likelihood = -28857.621
Iteration 32: (EM) log likelihood = -28842.017
Iteration 33: (EM) log likelihood = -28826.746
Iteration 34: (EM) log likelihood = -28811.715
Iteration 35: (EM) log likelihood = -28796.775
Iteration 36: (EM) log likelihood = -28781.441
Iteration 37: (EM) log likelihood = -28766.351
Iteration 38: (EM) log likelihood = -28751.322
Iteration 39: (EM) log likelihood = -28736.276
Iteration 40: (EM) log likelihood = -28720.987
Iteration 41: (EM) log likelihood = -28705.975
Iteration 42: (EM) log likelihood = -28691.029
Iteration 43: (EM) log likelihood = -28676.08
Iteration 44: (EM) log likelihood = -28661.397
Iteration 45: (EM) log likelihood = -28646.758
Iteration 46: (EM) log likelihood = -28632.144
Iteration 47: (EM) log likelihood = -28617.886
Iteration 48: (EM) log likelihood = -28603.686
Iteration 49: (EM) log likelihood = -28589.602
Iteration 50: (EM) log likelihood = -28576.268
Iteration 51: (EM) log likelihood = -28562.655
Iteration 52: (EM) log likelihood = -28550.009
Iteration 53: (EM) log likelihood = -28536.901
Iteration 54: (EM) log likelihood = -28524.376
Iteration 55: (EM) log likelihood = -28511.646
Iteration 56: (EM) log likelihood = -28500.124
Iteration 57: (EM) log likelihood = -28488.067
Iteration 58: (EM) log likelihood = -28476.21
Iteration 59: (EM) log likelihood = -28465.66
Iteration 60: (EM) log likelihood = -28454.82
Iteration 61: (EM) log likelihood = -28444.397
Iteration 62: (EM) log likelihood = -28434.454
Iteration 63: (EM) log likelihood = -28424.807
Iteration 64: (EM) log likelihood = -28416.111
Iteration 65: (EM) log likelihood = -28406.803
Iteration 66: (EM) log likelihood = -28398.063
Iteration 67: (EM) log likelihood = -28388.952
Iteration 68: (EM) log likelihood = -28380.478
Iteration 69: (EM) log likelihood = -28372.847
Iteration 70: (EM) log likelihood = -28364.893
Iteration 71: (EM) log likelihood = -28357.782
Iteration 72: (EM) log likelihood = -28350.991
Iteration 73: (EM) log likelihood = -28343.656
Iteration 74: (EM) log likelihood = -28334.233
Iteration 75: (EM) log likelihood = -28327.61
Iteration 76: (EM) log likelihood = -28321.95
Iteration 77: (EM) log likelihood = -28316.609
Iteration 78: (EM) log likelihood = -28311.187
Iteration 79: (EM) log likelihood = -28306.233
Iteration 80: (EM) log likelihood = -28301.507
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.4816
Iteration 1: (class) log likelihood = -5252.4816
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29136.906
Iteration 1: (outcome) log likelihood = -29136.906
Refining starting values:
Iteration 0: (EM) log likelihood = -34375.869
Iteration 1: (EM) log likelihood = -34328.521
Iteration 2: (EM) log likelihood = -34180.231
Iteration 3: (EM) log likelihood = -33747.434
Iteration 4: (EM) log likelihood = -32848.075
Iteration 5: (EM) log likelihood = -31730.922
Iteration 6: (EM) log likelihood = -30905.565
Iteration 7: (EM) log likelihood = -30416.811
Iteration 8: (EM) log likelihood = -30121.177
Iteration 9: (EM) log likelihood = -29919.27
Iteration 10: (EM) log likelihood = -29753.577
Iteration 11: (EM) log likelihood = -29611.629
Iteration 12: (EM) log likelihood = -29495.034
Iteration 13: (EM) log likelihood = -29404.286
Iteration 14: (EM) log likelihood = -29334.875
Iteration 15: (EM) log likelihood = -29281.69
Iteration 16: (EM) log likelihood = -29238.722
Iteration 17: (EM) log likelihood = -29204.74
Iteration 18: (EM) log likelihood = -29177.344
Iteration 19: (EM) log likelihood = -29155.205
Iteration 20: (EM) log likelihood = -29136.107
Iteration 21: (EM) log likelihood = -29120.49
Iteration 22: (EM) log likelihood = -29106.131
Iteration 23: (EM) log likelihood = -29093.598
Iteration 24: (EM) log likelihood = -29082.856
Iteration 25: (EM) log likelihood = -29074.363
Iteration 26: (EM) log likelihood = -29065.106
Iteration 27: (EM) log likelihood = -29057.097
Iteration 28: (EM) log likelihood = -29049.031
Iteration 29: (EM) log likelihood = -29040.834
Iteration 30: (EM) log likelihood = -29033.606
Iteration 31: (EM) log likelihood = -29026.004
Iteration 32: (EM) log likelihood = -29019.385
Iteration 33: (EM) log likelihood = -29010.978
Iteration 34: (EM) log likelihood = -29005.374
Iteration 35: (EM) log likelihood = -28999.504
Iteration 36: (EM) log likelihood = -28992.956
Iteration 37: (EM) log likelihood = -28987.634
Iteration 38: (EM) log likelihood = -28981.663
Iteration 39: (EM) log likelihood = -28976.587
Iteration 40: (EM) log likelihood = -28970.243
Iteration 41: (EM) log likelihood = -28964.385
Iteration 42: (EM) log likelihood = -28958.501
Iteration 43: (EM) log likelihood = -28952.199
Iteration 44: (EM) log likelihood = -28946.183
Iteration 45: (EM) log likelihood = -28940.094
Iteration 46: (EM) log likelihood = -28934.65
Iteration 47: (EM) log likelihood = -28927.647
Iteration 48: (EM) log likelihood = -28921.371
Iteration 49: (EM) log likelihood = -28914.987
Iteration 50: (EM) log likelihood = -28909.136
Iteration 51: (EM) log likelihood = -28902.822
Iteration 52: (EM) log likelihood = -28897.144
Iteration 53: (EM) log likelihood = -28890.307
Iteration 54: (EM) log likelihood = -28884.05
Iteration 55: (EM) log likelihood = -28877.1
Iteration 56: (EM) log likelihood = -28871.099
Iteration 57: (EM) log likelihood = -28864.88
Iteration 58: (EM) log likelihood = -28857.894
Iteration 59: (EM) log likelihood = -28851.038
Iteration 60: (EM) log likelihood = -28844.848
Iteration 61: (EM) log likelihood = -28837.819
Iteration 62: (EM) log likelihood = -28831.403
Iteration 63: (EM) log likelihood = -28824.633
Iteration 64: (EM) log likelihood = -28818.003
Iteration 65: (EM) log likelihood = -28811.301
Iteration 66: (EM) log likelihood = -28804.508
Iteration 67: (EM) log likelihood = -28797.983
Iteration 68: (EM) log likelihood = -28791.636
Iteration 69: (EM) log likelihood = -28784.543
Iteration 70: (EM) log likelihood = -28777.637
Iteration 71: (EM) log likelihood = -28769.678
Iteration 72: (EM) log likelihood = -28762.574
Iteration 73: (EM) log likelihood = -28755.349
Iteration 74: (EM) log likelihood = -28748.525
Iteration 75: (EM) log likelihood = -28741.471
Iteration 76: (EM) log likelihood = -28734.412
Iteration 77: (EM) log likelihood = -28727.074
Iteration 78: (EM) log likelihood = -28719.482
Iteration 79: (EM) log likelihood = -28712.212
Iteration 80: (EM) log likelihood = -28705.328
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.5076
Iteration 1: (class) log likelihood = -5251.5076
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29142.297
Iteration 1: (outcome) log likelihood = -29142.297
Refining starting values:
Iteration 0: (EM) log likelihood = -34379.632
Iteration 1: (EM) log likelihood = -34322.489
Iteration 2: (EM) log likelihood = -34130.661
Iteration 3: (EM) log likelihood = -33635.118
Iteration 4: (EM) log likelihood = -32817.151
Iteration 5: (EM) log likelihood = -31965.585
Iteration 6: (EM) log likelihood = -31261.016
Iteration 7: (EM) log likelihood = -30701.771
Iteration 8: (EM) log likelihood = -30290.568
Iteration 9: (EM) log likelihood = -30002.709
Iteration 10: (EM) log likelihood = -29790.841
Iteration 11: (EM) log likelihood = -29632.22
Iteration 12: (EM) log likelihood = -29516.954
Iteration 13: (EM) log likelihood = -29434.284
Iteration 14: (EM) log likelihood = -29373.379
Iteration 15: (EM) log likelihood = -29326.908
Iteration 16: (EM) log likelihood = -29286.957
Iteration 17: (EM) log likelihood = -29253.125
Iteration 18: (EM) log likelihood = -29221.235
Iteration 19: (EM) log likelihood = -29191.785
Iteration 20: (EM) log likelihood = -29165.04
Iteration 21: (EM) log likelihood = -29140.936
Iteration 22: (EM) log likelihood = -29120.026
Iteration 23: (EM) log likelihood = -29101.433
Iteration 24: (EM) log likelihood = -29084.86
Iteration 25: (EM) log likelihood = -29070.509
Iteration 26: (EM) log likelihood = -29057.952
Iteration 27: (EM) log likelihood = -29047.344
Iteration 28: (EM) log likelihood = -29037.375
Iteration 29: (EM) log likelihood = -29029.607
Iteration 30: (EM) log likelihood = -29022.901
Iteration 31: (EM) log likelihood = -29016.837
Iteration 32: (EM) log likelihood = -29011.256
Iteration 33: (EM) log likelihood = -29005.895
Iteration 34: (EM) log likelihood = -29001.559
Iteration 35: (EM) log likelihood = -28997.967
Iteration 36: (EM) log likelihood = -28994.196
Iteration 37: (EM) log likelihood = -28990.948
Iteration 38: (EM) log likelihood = -28987.798
Iteration 39: (EM) log likelihood = -28984.948
Iteration 40: (EM) log likelihood = -28982.16
Iteration 41: (EM) log likelihood = -28979.599
Iteration 42: (EM) log likelihood = -28977.325
Iteration 43: (EM) log likelihood = -28975.237
Iteration 44: (EM) log likelihood = -28973.309
Iteration 45: (EM) log likelihood = -28970.741
Iteration 46: (EM) log likelihood = -28968.415
Iteration 47: (EM) log likelihood = -28966.261
Iteration 48: (EM) log likelihood = -28963.997
Iteration 49: (EM) log likelihood = -28962.195
Iteration 50: (EM) log likelihood = -28960.453
Iteration 51: (EM) log likelihood = -28958.361
Iteration 52: (EM) log likelihood = -28956.597
Iteration 53: (EM) log likelihood = -28954.772
Iteration 54: (EM) log likelihood = -28952.874
Iteration 55: (EM) log likelihood = -28951.348
Iteration 56: (EM) log likelihood = -28949.276
Iteration 57: (EM) log likelihood = -28947.443
Iteration 58: (EM) log likelihood = -28945.574
Iteration 59: (EM) log likelihood = -28943.596
Iteration 60: (EM) log likelihood = -28941.705
Iteration 61: (EM) log likelihood = -28940.454
Iteration 62: (EM) log likelihood = -28938.226
Iteration 63: (EM) log likelihood = -28936.208
Iteration 64: (EM) log likelihood = -28933.896
Iteration 65: (EM) log likelihood = -28931.389
Iteration 66: (EM) log likelihood = -28930.267
Iteration 67: (EM) log likelihood = -28928.018
Iteration 68: (EM) log likelihood = -28925.047
Iteration 69: (EM) log likelihood = -28922.585
Iteration 70: (EM) log likelihood = -28919.934
Iteration 71: (EM) log likelihood = -28917.456
Iteration 72: (EM) log likelihood = -28914.776
Iteration 73: (EM) log likelihood = -28912.078
Iteration 74: (EM) log likelihood = -28909.236
Iteration 75: (EM) log likelihood = -28906.432
Iteration 76: (EM) log likelihood = -28903.446
Iteration 77: (EM) log likelihood = -28900.172
Iteration 78: (EM) log likelihood = -28897.126
Iteration 79: (EM) log likelihood = -28893.503
Iteration 80: (EM) log likelihood = -28890.249
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.3031
Iteration 1: (class) log likelihood = -5251.3031
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29633.83
Iteration 1: (outcome) log likelihood = -29215.301
Iteration 2: (outcome) log likelihood = -29135.244
Iteration 3: (outcome) log likelihood = -29123.661
Iteration 4: (outcome) log likelihood = -29121.012
Iteration 5: (outcome) log likelihood = -29120.378
Iteration 6: (outcome) log likelihood = -29120.249
Iteration 7: (outcome) log likelihood = -29120.226
Iteration 8: (outcome) log likelihood = -29120.224
Iteration 9: (outcome) log likelihood = -29120.223
Iteration 10: (outcome) log likelihood = -29120.223
Iteration 11: (outcome) log likelihood = -29120.223
Iteration 12: (outcome) log likelihood = -29120.223
Refining starting values:
Iteration 0: (EM) log likelihood = -34346.802
Iteration 1: (EM) log likelihood = -34249.087
Iteration 2: (EM) log likelihood = -33905.605
Iteration 3: (EM) log likelihood = -33028.263
Iteration 4: (EM) log likelihood = -31833.044
Iteration 5: (EM) log likelihood = -30899.517
Iteration 6: (EM) log likelihood = -30327.191
Iteration 7: (EM) log likelihood = -29998.946
Iteration 8: (EM) log likelihood = -29795.277
Iteration 9: (EM) log likelihood = -29669.127
Iteration 10: (EM) log likelihood = -29585.273
Iteration 11: (EM) log likelihood = -29525.576
Iteration 12: (EM) log likelihood = -29485.143
Iteration 13: (EM) log likelihood = -29453.211
Iteration 14: (EM) log likelihood = -29425.097
Iteration 15: (EM) log likelihood = -29402.744
Iteration 16: (EM) log likelihood = -29382.467
Iteration 17: (EM) log likelihood = -29364.428
Iteration 18: (EM) log likelihood = -29347.513
Iteration 19: (EM) log likelihood = -29332.117
Iteration 20: (EM) log likelihood = -29317.431
Iteration 21: (EM) log likelihood = -29301.432
Iteration 22: (EM) log likelihood = -29286.208
Iteration 23: (EM) log likelihood = -29269.96
Iteration 24: (EM) log likelihood = -29252.101
Iteration 25: (EM) log likelihood = -29232.131
Iteration 26: (EM) log likelihood = -29210.099
Iteration 27: (EM) log likelihood = -29185.077
Iteration 28: (EM) log likelihood = -29159.738
Iteration 29: (EM) log likelihood = -29133.036
Iteration 30: (EM) log likelihood = -29105.634
Iteration 31: (EM) log likelihood = -29078.5
Iteration 32: (EM) log likelihood = -29051.424
Iteration 33: (EM) log likelihood = -29025.067
Iteration 34: (EM) log likelihood = -28999.539
Iteration 35: (EM) log likelihood = -28975.3
Iteration 36: (EM) log likelihood = -28952.064
Iteration 37: (EM) log likelihood = -28930.47
Iteration 38: (EM) log likelihood = -28910.333
Iteration 39: (EM) log likelihood = -28892.165
Iteration 40: (EM) log likelihood = -28875.417
Iteration 41: (EM) log likelihood = -28859.978
Iteration 42: (EM) log likelihood = -28846.218
Iteration 43: (EM) log likelihood = -28833.495
Iteration 44: (EM) log likelihood = -28821.804
Iteration 45: (EM) log likelihood = -28810.908
Iteration 46: (EM) log likelihood = -28801.405
Iteration 47: (EM) log likelihood = -28792.639
Iteration 48: (EM) log likelihood = -28784.701
Iteration 49: (EM) log likelihood = -28777.333
Iteration 50: (EM) log likelihood = -28770.517
Iteration 51: (EM) log likelihood = -28764.22
Iteration 52: (EM) log likelihood = -28758.398
Iteration 53: (EM) log likelihood = -28752.865
Iteration 54: (EM) log likelihood = -28747.665
Iteration 55: (EM) log likelihood = -28742.544
Iteration 56: (EM) log likelihood = -28737.97
Iteration 57: (EM) log likelihood = -28733.675
Iteration 58: (EM) log likelihood = -28729.341
Iteration 59: (EM) log likelihood = -28725.17
Iteration 60: (EM) log likelihood = -28720.934
Iteration 61: (EM) log likelihood = -28716.862
Iteration 62: (EM) log likelihood = -28712.997
Iteration 63: (EM) log likelihood = -28709.19
Iteration 64: (EM) log likelihood = -28705.44
Iteration 65: (EM) log likelihood = -28701.105
Iteration 66: (EM) log likelihood = -28697.281
Iteration 67: (EM) log likelihood = -28693.831
Iteration 68: (EM) log likelihood = -28690.093
Iteration 69: (EM) log likelihood = -28685.867
Iteration 70: (EM) log likelihood = -28682.265
Iteration 71: (EM) log likelihood = -28678.743
Iteration 72: (EM) log likelihood = -28675.264
Iteration 73: (EM) log likelihood = -28671.924
Iteration 74: (EM) log likelihood = -28668.639
Iteration 75: (EM) log likelihood = -28665.298
Iteration 76: (EM) log likelihood = -28661.987
Iteration 77: (EM) log likelihood = -28658.726
Iteration 78: (EM) log likelihood = -28655.394
Iteration 79: (EM) log likelihood = -28651.271
Iteration 80: (EM) log likelihood = -28648.244
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.8055
Iteration 1: (class) log likelihood = -5251.8055
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29780.765
Iteration 1: (outcome) log likelihood = -29204.225
Iteration 2: (outcome) log likelihood = -29153.415
Iteration 3: (outcome) log likelihood = -29137.414
Iteration 4: (outcome) log likelihood = -29133.914
Iteration 5: (outcome) log likelihood = -29133.206
Iteration 6: (outcome) log likelihood = -29133.064
Iteration 7: (outcome) log likelihood = -29133.033
Iteration 8: (outcome) log likelihood = -29133.026
Iteration 9: (outcome) log likelihood = -29133.024
Iteration 10: (outcome) log likelihood = -29133.024
Iteration 11: (outcome) log likelihood = -29133.024
Iteration 12: (outcome) log likelihood = -29133.024
Refining starting values:
Iteration 0: (EM) log likelihood = -34365.328
Iteration 1: (EM) log likelihood = -34288.37
Iteration 2: (EM) log likelihood = -34047.417
Iteration 3: (EM) log likelihood = -33462.649
Iteration 4: (EM) log likelihood = -32528.176
Iteration 5: (EM) log likelihood = -31647.587
Iteration 6: (EM) log likelihood = -31073.597
Iteration 7: (EM) log likelihood = -30713.631
Iteration 8: (EM) log likelihood = -30482.845
Iteration 9: (EM) log likelihood = -30325.317
Iteration 10: (EM) log likelihood = -30210.292
Iteration 11: (EM) log likelihood = -30121.376
Iteration 12: (EM) log likelihood = -30048.879
Iteration 13: (EM) log likelihood = -29984.354
Iteration 14: (EM) log likelihood = -29921.877
Iteration 15: (EM) log likelihood = -29854.551
Iteration 16: (EM) log likelihood = -29784.365
Iteration 17: (EM) log likelihood = -29703.762
Iteration 18: (EM) log likelihood = -29613.328
Iteration 19: (EM) log likelihood = -29516.786
Iteration 20: (EM) log likelihood = -29423.216
Iteration 21: (EM) log likelihood = -29338.576
Iteration 22: (EM) log likelihood = -29267.536
Iteration 23: (EM) log likelihood = -29208.157
Iteration 24: (EM) log likelihood = -29158.417
Iteration 25: (EM) log likelihood = -29115.372
Iteration 26: (EM) log likelihood = -29077.612
Iteration 27: (EM) log likelihood = -29044.617
Iteration 28: (EM) log likelihood = -29015.168
Iteration 29: (EM) log likelihood = -28990.122
Iteration 30: (EM) log likelihood = -28969.041
Iteration 31: (EM) log likelihood = -28950.222
Iteration 32: (EM) log likelihood = -28934.781
Iteration 33: (EM) log likelihood = -28920.772
Iteration 34: (EM) log likelihood = -28909.683
Iteration 35: (EM) log likelihood = -28899.66
Iteration 36: (EM) log likelihood = -28890.991
Iteration 37: (EM) log likelihood = -28883.667
Iteration 38: (EM) log likelihood = -28877.118
Iteration 39: (EM) log likelihood = -28871.708
Iteration 40: (EM) log likelihood = -28867.184
Iteration 41: (EM) log likelihood = -28862.715
Iteration 42: (EM) log likelihood = -28858.437
Iteration 43: (EM) log likelihood = -28854.114
Iteration 44: (EM) log likelihood = -28851.128
Iteration 45: (EM) log likelihood = -28848.283
Iteration 46: (EM) log likelihood = -28845.044
Iteration 47: (EM) log likelihood = -28842.427
Iteration 48: (EM) log likelihood = -28838.54
Iteration 49: (EM) log likelihood = -28838.152
Iteration 50: (EM) log likelihood = -28835.569
Iteration 51: (EM) log likelihood = -28832.466
Iteration 52: (EM) log likelihood = -28830.284
Iteration 53: (EM) log likelihood = -28828.804
Iteration 54: (EM) log likelihood = -28826.777
Iteration 55: (EM) log likelihood = -28825.169
Iteration 56: (EM) log likelihood = -28824.005
Iteration 57: (EM) log likelihood = -28823.695
Iteration 58: (EM) log likelihood = -28825.515
Iteration 59: (EM) log likelihood = -28823.873
Iteration 60: (EM) log likelihood = -28822.086
Iteration 61: (EM) log likelihood = -28820.738
Iteration 62: (EM) log likelihood = -28819.483
Iteration 63: (EM) log likelihood = -28818.148
Iteration 64: (EM) log likelihood = -28816.538
Iteration 65: (EM) log likelihood = -28815.704
Iteration 66: (EM) log likelihood = -28815.587
Iteration 67: (EM) log likelihood = -28814.433
Iteration 68: (EM) log likelihood = -28813.306
Iteration 69: (EM) log likelihood = -28812.259
Iteration 70: (EM) log likelihood = -28811.631
Iteration 71: (EM) log likelihood = -28810.433
Iteration 72: (EM) log likelihood = -28807.01
Iteration 73: (EM) log likelihood = -28805.862
Iteration 74: (EM) log likelihood = -28804.775
Iteration 75: (EM) log likelihood = -28803.963
Iteration 76: (EM) log likelihood = -28803.036
Iteration 77: (EM) log likelihood = -28802.294
Iteration 78: (EM) log likelihood = -28801.734
Iteration 79: (EM) log likelihood = -28800.837
Iteration 80: (EM) log likelihood = -28799.98
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.0668
Iteration 1: (class) log likelihood = -5252.0668
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29122.672
Iteration 1: (outcome) log likelihood = -29122.672
Refining starting values:
Iteration 0: (EM) log likelihood = -34314.825
Iteration 1: (EM) log likelihood = -34098.103
Iteration 2: (EM) log likelihood = -33529.023
Iteration 3: (EM) log likelihood = -32641.984
Iteration 4: (EM) log likelihood = -31752.691
Iteration 5: (EM) log likelihood = -31014.552
Iteration 6: (EM) log likelihood = -30447.708
Iteration 7: (EM) log likelihood = -30041.688
Iteration 8: (EM) log likelihood = -29769.42
Iteration 9: (EM) log likelihood = -29586.082
Iteration 10: (EM) log likelihood = -29457.026
Iteration 11: (EM) log likelihood = -29362.868
Iteration 12: (EM) log likelihood = -29291.538
Iteration 13: (EM) log likelihood = -29234.893
Iteration 14: (EM) log likelihood = -29188.078
Iteration 15: (EM) log likelihood = -29148.399
Iteration 16: (EM) log likelihood = -29112.649
Iteration 17: (EM) log likelihood = -29079.265
Iteration 18: (EM) log likelihood = -29047.793
Iteration 19: (EM) log likelihood = -29016.27
Iteration 20: (EM) log likelihood = -28983.215
Iteration 21: (EM) log likelihood = -28949.044
Iteration 22: (EM) log likelihood = -28915.605
Iteration 23: (EM) log likelihood = -28885.094
Iteration 24: (EM) log likelihood = -28858.158
Iteration 25: (EM) log likelihood = -28833.539
Iteration 26: (EM) log likelihood = -28811.613
Iteration 27: (EM) log likelihood = -28792.688
Iteration 28: (EM) log likelihood = -28776.753
Iteration 29: (EM) log likelihood = -28763.752
Iteration 30: (EM) log likelihood = -28752.529
Iteration 31: (EM) log likelihood = -28743.374
Iteration 32: (EM) log likelihood = -28735.389
Iteration 33: (EM) log likelihood = -28728.379
Iteration 34: (EM) log likelihood = -28722.127
Iteration 35: (EM) log likelihood = -28716.358
Iteration 36: (EM) log likelihood = -28710.783
Iteration 37: (EM) log likelihood = -28705.445
Iteration 38: (EM) log likelihood = -28700.429
Iteration 39: (EM) log likelihood = -28695.613
Iteration 40: (EM) log likelihood = -28690.532
Iteration 41: (EM) log likelihood = -28685.792
Iteration 42: (EM) log likelihood = -28681.682
Iteration 43: (EM) log likelihood = -28676.908
Iteration 44: (EM) log likelihood = -28672.366
Iteration 45: (EM) log likelihood = -28667.654
Iteration 46: (EM) log likelihood = -28663.356
Iteration 47: (EM) log likelihood = -28659.191
Iteration 48: (EM) log likelihood = -28654.666
Iteration 49: (EM) log likelihood = -28650.197
Iteration 50: (EM) log likelihood = -28645.561
Iteration 51: (EM) log likelihood = -28641.051
Iteration 52: (EM) log likelihood = -28636.596
Iteration 53: (EM) log likelihood = -28631.944
Iteration 54: (EM) log likelihood = -28627.423
Iteration 55: (EM) log likelihood = -28622.792
Iteration 56: (EM) log likelihood = -28618.221
Iteration 57: (EM) log likelihood = -28613.578
Iteration 58: (EM) log likelihood = -28608.842
Iteration 59: (EM) log likelihood = -28604.132
Iteration 60: (EM) log likelihood = -28599.252
Iteration 61: (EM) log likelihood = -28594.129
Iteration 62: (EM) log likelihood = -28589.175
Iteration 63: (EM) log likelihood = -28584.213
Iteration 64: (EM) log likelihood = -28578.916
Iteration 65: (EM) log likelihood = -28574.059
Iteration 66: (EM) log likelihood = -28568.907
Iteration 67: (EM) log likelihood = -28563.697
Iteration 68: (EM) log likelihood = -28558.56
Iteration 69: (EM) log likelihood = -28553.418
Iteration 70: (EM) log likelihood = -28547.99
Iteration 71: (EM) log likelihood = -28542.773
Iteration 72: (EM) log likelihood = -28537.1
Iteration 73: (EM) log likelihood = -28531.438
Iteration 74: (EM) log likelihood = -28525.629
Iteration 75: (EM) log likelihood = -28519.895
Iteration 76: (EM) log likelihood = -28513.548
Iteration 77: (EM) log likelihood = -28507.295
Iteration 78: (EM) log likelihood = -28500.933
Iteration 79: (EM) log likelihood = -28494.016
Iteration 80: (EM) log likelihood = -28486.843
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.5933
Iteration 1: (class) log likelihood = -5251.5933
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29151.511
Iteration 1: (outcome) log likelihood = -29151.511
Refining starting values:
Iteration 0: (EM) log likelihood = -34398.327
Iteration 1: (EM) log likelihood = -34376.459
Iteration 2: (EM) log likelihood = -34293.665
Iteration 3: (EM) log likelihood = -33972.99
Iteration 4: (EM) log likelihood = -33088.611
Iteration 5: (EM) log likelihood = -31988.554
Iteration 6: (EM) log likelihood = -31326.603
Iteration 7: (EM) log likelihood = -30933.868
Iteration 8: (EM) log likelihood = -30639.826
Iteration 9: (EM) log likelihood = -30396.564
Iteration 10: (EM) log likelihood = -30191.275
Iteration 11: (EM) log likelihood = -30021.206
Iteration 12: (EM) log likelihood = -29882.991
Iteration 13: (EM) log likelihood = -29768.665
Iteration 14: (EM) log likelihood = -29675.212
Iteration 15: (EM) log likelihood = -29597.728
Iteration 16: (EM) log likelihood = -29534.278
Iteration 17: (EM) log likelihood = -29480.55
Iteration 18: (EM) log likelihood = -29436.014
Iteration 19: (EM) log likelihood = -29399.299
Iteration 20: (EM) log likelihood = -29366.55
Iteration 21: (EM) log likelihood = -29337.637
Iteration 22: (EM) log likelihood = -29310.715
Iteration 23: (EM) log likelihood = -29286.097
Iteration 24: (EM) log likelihood = -29262.745
Iteration 25: (EM) log likelihood = -29240.607
Iteration 26: (EM) log likelihood = -29219.288
Iteration 27: (EM) log likelihood = -29197.607
Iteration 28: (EM) log likelihood = -29176.202
Iteration 29: (EM) log likelihood = -29155.328
Iteration 30: (EM) log likelihood = -29135.212
Iteration 31: (EM) log likelihood = -29115.329
Iteration 32: (EM) log likelihood = -29096.437
Iteration 33: (EM) log likelihood = -29078.795
Iteration 34: (EM) log likelihood = -29061.909
Iteration 35: (EM) log likelihood = -29047.123
Iteration 36: (EM) log likelihood = -29034.439
Iteration 37: (EM) log likelihood = -29024.669
Iteration 38: (EM) log likelihood = -29015.511
Iteration 39: (EM) log likelihood = -29006.872
Iteration 40: (EM) log likelihood = -29000.987
Iteration 41: (EM) log likelihood = -28995.908
Iteration 42: (EM) log likelihood = -28990.684
Iteration 43: (EM) log likelihood = -28986.06
Iteration 44: (EM) log likelihood = -28981.418
Iteration 45: (EM) log likelihood = -28976.764
Iteration 46: (EM) log likelihood = -28972.835
Iteration 47: (EM) log likelihood = -28968.507
Iteration 48: (EM) log likelihood = -28964.736
Iteration 49: (EM) log likelihood = -28960.371
Iteration 50: (EM) log likelihood = -28956.199
Iteration 51: (EM) log likelihood = -28952.265
Iteration 52: (EM) log likelihood = -28948.136
Iteration 53: (EM) log likelihood = -28943.745
Iteration 54: (EM) log likelihood = -28939.641
Iteration 55: (EM) log likelihood = -28935.531
Iteration 56: (EM) log likelihood = -28931.376
Iteration 57: (EM) log likelihood = -28927.22
Iteration 58: (EM) log likelihood = -28922.997
Iteration 59: (EM) log likelihood = -28919.03
Iteration 60: (EM) log likelihood = -28914.609
Iteration 61: (EM) log likelihood = -28910.461
Iteration 62: (EM) log likelihood = -28906.191
Iteration 63: (EM) log likelihood = -28902.068
Iteration 64: (EM) log likelihood = -28897.9
Iteration 65: (EM) log likelihood = -28893.457
Iteration 66: (EM) log likelihood = -28889.089
Iteration 67: (EM) log likelihood = -28885.176
Iteration 68: (EM) log likelihood = -28881.346
Iteration 69: (EM) log likelihood = -28877.5
Iteration 70: (EM) log likelihood = -28873.016
Iteration 71: (EM) log likelihood = -28868.853
Iteration 72: (EM) log likelihood = -28864.34
Iteration 73: (EM) log likelihood = -28860.23
Iteration 74: (EM) log likelihood = -28856.28
Iteration 75: (EM) log likelihood = -28852.55
Iteration 76: (EM) log likelihood = -28848.718
Iteration 77: (EM) log likelihood = -28845.091
Iteration 78: (EM) log likelihood = -28841.738
Iteration 79: (EM) log likelihood = -28837.947
Iteration 80: (EM) log likelihood = -28834.709
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.4321
Iteration 1: (class) log likelihood = -5251.4321
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29138.332
Iteration 1: (outcome) log likelihood = -29138.332
Refining starting values:
Iteration 0: (EM) log likelihood = -34374.877
Iteration 1: (EM) log likelihood = -34322.176
Iteration 2: (EM) log likelihood = -34152.976
Iteration 3: (EM) log likelihood = -33683.914
Iteration 4: (EM) log likelihood = -32814.678
Iteration 5: (EM) log likelihood = -31900.281
Iteration 6: (EM) log likelihood = -31241.274
Iteration 7: (EM) log likelihood = -30795.178
Iteration 8: (EM) log likelihood = -30486.19
Iteration 9: (EM) log likelihood = -30265.004
Iteration 10: (EM) log likelihood = -30097.759
Iteration 11: (EM) log likelihood = -29969.963
Iteration 12: (EM) log likelihood = -29872.835
Iteration 13: (EM) log likelihood = -29797.817
Iteration 14: (EM) log likelihood = -29737.099
Iteration 15: (EM) log likelihood = -29686.436
Iteration 16: (EM) log likelihood = -29640.373
Iteration 17: (EM) log likelihood = -29598.138
Iteration 18: (EM) log likelihood = -29557.46
Iteration 19: (EM) log likelihood = -29518.316
Iteration 20: (EM) log likelihood = -29479.542
Iteration 21: (EM) log likelihood = -29441.278
Iteration 22: (EM) log likelihood = -29404.95
Iteration 23: (EM) log likelihood = -29368.638
Iteration 24: (EM) log likelihood = -29335.774
Iteration 25: (EM) log likelihood = -29306.67
Iteration 26: (EM) log likelihood = -29281.569
Iteration 27: (EM) log likelihood = -29260.562
Iteration 28: (EM) log likelihood = -29243.269
Iteration 29: (EM) log likelihood = -29228.541
Iteration 30: (EM) log likelihood = -29216.784
Iteration 31: (EM) log likelihood = -29206.603
Iteration 32: (EM) log likelihood = -29197.027
Iteration 33: (EM) log likelihood = -29188.405
Iteration 34: (EM) log likelihood = -29180.159
Iteration 35: (EM) log likelihood = -29172.216
Iteration 36: (EM) log likelihood = -29164.349
Iteration 37: (EM) log likelihood = -29156.447
Iteration 38: (EM) log likelihood = -29148.373
Iteration 39: (EM) log likelihood = -29139.914
Iteration 40: (EM) log likelihood = -29131.016
Iteration 41: (EM) log likelihood = -29121.698
Iteration 42: (EM) log likelihood = -29111.402
Iteration 43: (EM) log likelihood = -29100.743
Iteration 44: (EM) log likelihood = -29089.237
Iteration 45: (EM) log likelihood = -29076.833
Iteration 46: (EM) log likelihood = -29063.826
Iteration 47: (EM) log likelihood = -29050.183
Iteration 48: (EM) log likelihood = -29035.903
Iteration 49: (EM) log likelihood = -29021.164
Iteration 50: (EM) log likelihood = -29006.601
Iteration 51: (EM) log likelihood = -28992.688
Iteration 52: (EM) log likelihood = -28979.524
Iteration 53: (EM) log likelihood = -28967.014
Iteration 54: (EM) log likelihood = -28955.364
Iteration 55: (EM) log likelihood = -28945.172
Iteration 56: (EM) log likelihood = -28935.871
Iteration 57: (EM) log likelihood = -28927.297
Iteration 58: (EM) log likelihood = -28919.056
Iteration 59: (EM) log likelihood = -28911.397
Iteration 60: (EM) log likelihood = -28903.185
Iteration 61: (EM) log likelihood = -28895.23
Iteration 62: (EM) log likelihood = -28887.783
Iteration 63: (EM) log likelihood = -28881.216
Iteration 64: (EM) log likelihood = -28875.586
Iteration 65: (EM) log likelihood = -28870.618
Iteration 66: (EM) log likelihood = -28866.914
Iteration 67: (EM) log likelihood = -28863.939
Iteration 68: (EM) log likelihood = -28861.507
Iteration 69: (EM) log likelihood = -28859.804
Iteration 70: (EM) log likelihood = -28858.414
Iteration 71: (EM) log likelihood = -28858.072
Iteration 72: (EM) log likelihood = -28857.478
Iteration 73: (EM) log likelihood = -28857.275
Iteration 74: (EM) log likelihood = -28857.607
Iteration 75: (EM) log likelihood = -28857.895
Iteration 76: (EM) log likelihood = -28858.035
Iteration 77: (EM) log likelihood = -28858.273
Iteration 78: (EM) log likelihood = -28859.592
Iteration 79: (EM) log likelihood = -28859.572
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.1234
Iteration 1: (class) log likelihood = -5252.1234
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29134.925
Iteration 1: (outcome) log likelihood = -29134.925
Refining starting values:
Iteration 0: (EM) log likelihood = -34370.266
Iteration 1: (EM) log likelihood = -34301.424
Iteration 2: (EM) log likelihood = -34054.623
Iteration 3: (EM) log likelihood = -33360.621
Iteration 4: (EM) log likelihood = -32226.459
Iteration 5: (EM) log likelihood = -31271.58
Iteration 6: (EM) log likelihood = -30674.309
Iteration 7: (EM) log likelihood = -30294.626
Iteration 8: (EM) log likelihood = -30062.535
Iteration 9: (EM) log likelihood = -29917.376
Iteration 10: (EM) log likelihood = -29813.69
Iteration 11: (EM) log likelihood = -29728.635
Iteration 12: (EM) log likelihood = -29655.194
Iteration 13: (EM) log likelihood = -29590.77
Iteration 14: (EM) log likelihood = -29534.575
Iteration 15: (EM) log likelihood = -29485.69
Iteration 16: (EM) log likelihood = -29441.168
Iteration 17: (EM) log likelihood = -29398.479
Iteration 18: (EM) log likelihood = -29356.842
Iteration 19: (EM) log likelihood = -29315.473
Iteration 20: (EM) log likelihood = -29273.375
Iteration 21: (EM) log likelihood = -29233.11
Iteration 22: (EM) log likelihood = -29195.04
Iteration 23: (EM) log likelihood = -29159.483
Iteration 24: (EM) log likelihood = -29128.399
Iteration 25: (EM) log likelihood = -29103.225
Iteration 26: (EM) log likelihood = -29081.477
Iteration 27: (EM) log likelihood = -29062.471
Iteration 28: (EM) log likelihood = -29046.612
Iteration 29: (EM) log likelihood = -29033.303
Iteration 30: (EM) log likelihood = -29021.192
Iteration 31: (EM) log likelihood = -29009.828
Iteration 32: (EM) log likelihood = -29000.073
Iteration 33: (EM) log likelihood = -28991.131
Iteration 34: (EM) log likelihood = -28982.803
Iteration 35: (EM) log likelihood = -28973.922
Iteration 36: (EM) log likelihood = -28965.197
Iteration 37: (EM) log likelihood = -28956.963
Iteration 38: (EM) log likelihood = -28948.656
Iteration 39: (EM) log likelihood = -28940.195
Iteration 40: (EM) log likelihood = -28932.164
Iteration 41: (EM) log likelihood = -28924.282
Iteration 42: (EM) log likelihood = -28915.937
Iteration 43: (EM) log likelihood = -28907.704
Iteration 44: (EM) log likelihood = -28899.792
Iteration 45: (EM) log likelihood = -28891.65
Iteration 46: (EM) log likelihood = -28883.335
Iteration 47: (EM) log likelihood = -28875.239
Iteration 48: (EM) log likelihood = -28866.787
Iteration 49: (EM) log likelihood = -28858.929
Iteration 50: (EM) log likelihood = -28850.931
Iteration 51: (EM) log likelihood = -28842.414
Iteration 52: (EM) log likelihood = -28833.649
Iteration 53: (EM) log likelihood = -28825.071
Iteration 54: (EM) log likelihood = -28816.461
Iteration 55: (EM) log likelihood = -28808.331
Iteration 56: (EM) log likelihood = -28799.57
Iteration 57: (EM) log likelihood = -28791.624
Iteration 58: (EM) log likelihood = -28782.694
Iteration 59: (EM) log likelihood = -28773.698
Iteration 60: (EM) log likelihood = -28765.48
Iteration 61: (EM) log likelihood = -28756.163
Iteration 62: (EM) log likelihood = -28747.515
Iteration 63: (EM) log likelihood = -28738.85
Iteration 64: (EM) log likelihood = -28731.354
Iteration 65: (EM) log likelihood = -28724.6
Iteration 66: (EM) log likelihood = -28715.561
Iteration 67: (EM) log likelihood = -28707.263
Iteration 68: (EM) log likelihood = -28698.89
Iteration 69: (EM) log likelihood = -28690.509
Iteration 70: (EM) log likelihood = -28681.259
Iteration 71: (EM) log likelihood = -28673.117
Iteration 72: (EM) log likelihood = -28665.504
Iteration 73: (EM) log likelihood = -28657.206
Iteration 74: (EM) log likelihood = -28649.064
Iteration 75: (EM) log likelihood = -28640.476
Iteration 76: (EM) log likelihood = -28632.161
Iteration 77: (EM) log likelihood = -28624.025
Iteration 78: (EM) log likelihood = -28615.602
Iteration 79: (EM) log likelihood = -28607.365
Iteration 80: (EM) log likelihood = -28599.446
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.4307
Iteration 1: (class) log likelihood = -5252.4307
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29132.336
Iteration 1: (outcome) log likelihood = -29132.336
Refining starting values:
Iteration 0: (EM) log likelihood = -34362.256
Iteration 1: (EM) log likelihood = -34269.505
Iteration 2: (EM) log likelihood = -34006.024
Iteration 3: (EM) log likelihood = -33488.925
Iteration 4: (EM) log likelihood = -32757.589
Iteration 5: (EM) log likelihood = -31989.14
Iteration 6: (EM) log likelihood = -31353.669
Iteration 7: (EM) log likelihood = -30838.219
Iteration 8: (EM) log likelihood = -30393.135
Iteration 9: (EM) log likelihood = -30006.296
Iteration 10: (EM) log likelihood = -29683.285
Iteration 11: (EM) log likelihood = -29443.925
Iteration 12: (EM) log likelihood = -29295.072
Iteration 13: (EM) log likelihood = -29212.881
Iteration 14: (EM) log likelihood = -29166.644
Iteration 15: (EM) log likelihood = -29137.908
Iteration 16: (EM) log likelihood = -29118.66
Iteration 17: (EM) log likelihood = -29105.007
Iteration 18: (EM) log likelihood = -29095.971
Iteration 19: (EM) log likelihood = -29090.856
Iteration 20: (EM) log likelihood = -29086.783
Iteration 21: (EM) log likelihood = -29083.972
Iteration 22: (EM) log likelihood = -29081.654
Iteration 23: (EM) log likelihood = -29079.274
Iteration 24: (EM) log likelihood = -29078.042
Iteration 25: (EM) log likelihood = -29074.914
Iteration 26: (EM) log likelihood = -29071.904
Iteration 27: (EM) log likelihood = -29068.939
Iteration 28: (EM) log likelihood = -29066.086
Iteration 29: (EM) log likelihood = -29063.252
Iteration 30: (EM) log likelihood = -29060.635
Iteration 31: (EM) log likelihood = -29058.117
Iteration 32: (EM) log likelihood = -29055.722
Iteration 33: (EM) log likelihood = -29053.514
Iteration 34: (EM) log likelihood = -29051.399
Iteration 35: (EM) log likelihood = -29049.44
Iteration 36: (EM) log likelihood = -29047.594
Iteration 37: (EM) log likelihood = -29045.826
Iteration 38: (EM) log likelihood = -29044.045
Iteration 39: (EM) log likelihood = -29042.874
Iteration 40: (EM) log likelihood = -29040.794
Iteration 41: (EM) log likelihood = -29038.711
Iteration 42: (EM) log likelihood = -29036.587
Iteration 43: (EM) log likelihood = -29034.1
Iteration 44: (EM) log likelihood = -29031.61
Iteration 45: (EM) log likelihood = -29028.899
Iteration 46: (EM) log likelihood = -29026.014
Iteration 47: (EM) log likelihood = -29022.813
Iteration 48: (EM) log likelihood = -29019.933
Iteration 49: (EM) log likelihood = -29016.112
Iteration 50: (EM) log likelihood = -29012.31
Iteration 51: (EM) log likelihood = -29008.13
Iteration 52: (EM) log likelihood = -29003.678
Iteration 53: (EM) log likelihood = -28999.148
Iteration 54: (EM) log likelihood = -28994.509
Iteration 55: (EM) log likelihood = -28989.531
Iteration 56: (EM) log likelihood = -28984.269
Iteration 57: (EM) log likelihood = -28978.812
Iteration 58: (EM) log likelihood = -28973.269
Iteration 59: (EM) log likelihood = -28967.374
Iteration 60: (EM) log likelihood = -28961.654
Iteration 61: (EM) log likelihood = -28955.529
Iteration 62: (EM) log likelihood = -28948.886
Iteration 63: (EM) log likelihood = -28942.765
Iteration 64: (EM) log likelihood = -28935.546
Iteration 65: (EM) log likelihood = -28928.185
Iteration 66: (EM) log likelihood = -28920.742
Iteration 67: (EM) log likelihood = -28912.993
Iteration 68: (EM) log likelihood = -28905.15
Iteration 69: (EM) log likelihood = -28896.913
Iteration 70: (EM) log likelihood = -28888.485
Iteration 71: (EM) log likelihood = -28880.182
Iteration 72: (EM) log likelihood = -28871.958
Iteration 73: (EM) log likelihood = -28863.118
Iteration 74: (EM) log likelihood = -28851.786
Iteration 75: (EM) log likelihood = -28844.232
Iteration 76: (EM) log likelihood = -28834.428
Iteration 77: (EM) log likelihood = -28823.882
Iteration 78: (EM) log likelihood = -28814.692
Iteration 79: (EM) log likelihood = -28805.262
Iteration 80: (EM) log likelihood = -28795.191
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.1376
Iteration 1: (class) log likelihood = -5252.1376
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29140.637
Iteration 1: (outcome) log likelihood = -29140.637
Refining starting values:
Iteration 0: (EM) log likelihood = -34381.854
Iteration 1: (EM) log likelihood = -34337.163
Iteration 2: (EM) log likelihood = -34179.877
Iteration 3: (EM) log likelihood = -33709.568
Iteration 4: (EM) log likelihood = -32801.121
Iteration 5: (EM) log likelihood = -31789.431
Iteration 6: (EM) log likelihood = -31005.861
Iteration 7: (EM) log likelihood = -30485.342
Iteration 8: (EM) log likelihood = -30174.489
Iteration 9: (EM) log likelihood = -29991.699
Iteration 10: (EM) log likelihood = -29868.242
Iteration 11: (EM) log likelihood = -29772.012
Iteration 12: (EM) log likelihood = -29689.6
Iteration 13: (EM) log likelihood = -29618.549
Iteration 14: (EM) log likelihood = -29560.176
Iteration 15: (EM) log likelihood = -29510.274
Iteration 16: (EM) log likelihood = -29467.68
Iteration 17: (EM) log likelihood = -29427.569
Iteration 18: (EM) log likelihood = -29387.661
Iteration 19: (EM) log likelihood = -29343.455
Iteration 20: (EM) log likelihood = -29298.69
Iteration 21: (EM) log likelihood = -29254.597
Iteration 22: (EM) log likelihood = -29217.38
Iteration 23: (EM) log likelihood = -29185.332
Iteration 24: (EM) log likelihood = -29159.845
Iteration 25: (EM) log likelihood = -29137.625
Iteration 26: (EM) log likelihood = -29119.768
Iteration 27: (EM) log likelihood = -29103.733
Iteration 28: (EM) log likelihood = -29090.682
Iteration 29: (EM) log likelihood = -29077.223
Iteration 30: (EM) log likelihood = -29064.59
Iteration 31: (EM) log likelihood = -29054.724
Iteration 32: (EM) log likelihood = -29042.888
Iteration 33: (EM) log likelihood = -29031.333
Iteration 34: (EM) log likelihood = -29019.836
Iteration 35: (EM) log likelihood = -29009.531
Iteration 36: (EM) log likelihood = -28998.228
Iteration 37: (EM) log likelihood = -28987.813
Iteration 38: (EM) log likelihood = -28978.072
Iteration 39: (EM) log likelihood = -28967.708
Iteration 40: (EM) log likelihood = -28958.15
Iteration 41: (EM) log likelihood = -28947.697
Iteration 42: (EM) log likelihood = -28937.688
Iteration 43: (EM) log likelihood = -28927.907
Iteration 44: (EM) log likelihood = -28918.394
Iteration 45: (EM) log likelihood = -28908.598
Iteration 46: (EM) log likelihood = -28899.703
Iteration 47: (EM) log likelihood = -28890.337
Iteration 48: (EM) log likelihood = -28880.728
Iteration 49: (EM) log likelihood = -28871.671
Iteration 50: (EM) log likelihood = -28862.028
Iteration 51: (EM) log likelihood = -28853.144
Iteration 52: (EM) log likelihood = -28844.583
Iteration 53: (EM) log likelihood = -28834.621
Iteration 54: (EM) log likelihood = -28825.352
Iteration 55: (EM) log likelihood = -28815.584
Iteration 56: (EM) log likelihood = -28806.472
Iteration 57: (EM) log likelihood = -28797.007
Iteration 58: (EM) log likelihood = -28787.557
Iteration 59: (EM) log likelihood = -28777.697
Iteration 60: (EM) log likelihood = -28769.126
Iteration 61: (EM) log likelihood = -28760.269
Iteration 62: (EM) log likelihood = -28751.393
Iteration 63: (EM) log likelihood = -28742.376
Iteration 64: (EM) log likelihood = -28733.525
Iteration 65: (EM) log likelihood = -28724.527
Iteration 66: (EM) log likelihood = -28716.418
Iteration 67: (EM) log likelihood = -28706.168
Iteration 68: (EM) log likelihood = -28697.464
Iteration 69: (EM) log likelihood = -28687.601
Iteration 70: (EM) log likelihood = -28678.959
Iteration 71: (EM) log likelihood = -28670.963
Iteration 72: (EM) log likelihood = -28662.528
Iteration 73: (EM) log likelihood = -28653.198
Iteration 74: (EM) log likelihood = -28644.05
Iteration 75: (EM) log likelihood = -28636.259
Iteration 76: (EM) log likelihood = -28628.471
Iteration 77: (EM) log likelihood = -28620.231
Iteration 78: (EM) log likelihood = -28614.311
Iteration 79: (EM) log likelihood = -28606.71
Iteration 80: (EM) log likelihood = -28599.273
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5249.17
Iteration 1: (class) log likelihood = -5249.17
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29662.244
Iteration 1: (outcome) log likelihood = -29236.547
Iteration 2: (outcome) log likelihood = -29155.242
Iteration 3: (outcome) log likelihood = -29143.291
Iteration 4: (outcome) log likelihood = -29140.424
Iteration 5: (outcome) log likelihood = -29139.813
Iteration 6: (outcome) log likelihood = -29139.686
Iteration 7: (outcome) log likelihood = -29139.657
Iteration 8: (outcome) log likelihood = -29139.65
Iteration 9: (outcome) log likelihood = -29139.649
Iteration 10: (outcome) log likelihood = -29139.648
Iteration 11: (outcome) log likelihood = -29139.648
Iteration 12: (outcome) log likelihood = -29139.648
Refining starting values:
Iteration 0: (EM) log likelihood = -34375.414
Iteration 1: (EM) log likelihood = -34319.57
Iteration 2: (EM) log likelihood = -34125.151
Iteration 3: (EM) log likelihood = -33604.316
Iteration 4: (EM) log likelihood = -32785.8
Iteration 5: (EM) log likelihood = -31996.644
Iteration 6: (EM) log likelihood = -31329.994
Iteration 7: (EM) log likelihood = -30763.093
Iteration 8: (EM) log likelihood = -30286.921
Iteration 9: (EM) log likelihood = -29897.784
Iteration 10: (EM) log likelihood = -29606.236
Iteration 11: (EM) log likelihood = -29402.824
Iteration 12: (EM) log likelihood = -29262.871
Iteration 13: (EM) log likelihood = -29163.254
Iteration 14: (EM) log likelihood = -29087.57
Iteration 15: (EM) log likelihood = -29025.908
Iteration 16: (EM) log likelihood = -28972.77
Iteration 17: (EM) log likelihood = -28923.692
Iteration 18: (EM) log likelihood = -28880.151
Iteration 19: (EM) log likelihood = -28838.664
Iteration 20: (EM) log likelihood = -28801.287
Iteration 21: (EM) log likelihood = -28768.128
Iteration 22: (EM) log likelihood = -28738.135
Iteration 23: (EM) log likelihood = -28711.939
Iteration 24: (EM) log likelihood = -28689.512
Iteration 25: (EM) log likelihood = -28668.385
Iteration 26: (EM) log likelihood = -28649.5
Iteration 27: (EM) log likelihood = -28633.9
Iteration 28: (EM) log likelihood = -28618.198
Iteration 29: (EM) log likelihood = -28603.029
Iteration 30: (EM) log likelihood = -28589.493
Iteration 31: (EM) log likelihood = -28576.575
Iteration 32: (EM) log likelihood = -28564.357
Iteration 33: (EM) log likelihood = -28552.553
Iteration 34: (EM) log likelihood = -28540.475
Iteration 35: (EM) log likelihood = -28527.716
Iteration 36: (EM) log likelihood = -28515.831
Iteration 37: (EM) log likelihood = -28503.576
Iteration 38: (EM) log likelihood = -28490.885
Iteration 39: (EM) log likelihood = -28478.065
Iteration 40: (EM) log likelihood = -28466.59
Iteration 41: (EM) log likelihood = -28455.776
Iteration 42: (EM) log likelihood = -28444.777
Iteration 43: (EM) log likelihood = -28434.419
Iteration 44: (EM) log likelihood = -28424.07
Iteration 45: (EM) log likelihood = -28413.709
Iteration 46: (EM) log likelihood = -28404.042
Iteration 47: (EM) log likelihood = -28394.078
Iteration 48: (EM) log likelihood = -28384.846
Iteration 49: (EM) log likelihood = -28375.978
Iteration 50: (EM) log likelihood = -28367.581
Iteration 51: (EM) log likelihood = -28359.178
Iteration 52: (EM) log likelihood = -28351.39
Iteration 53: (EM) log likelihood = -28343.878
Iteration 54: (EM) log likelihood = -28336.727
Iteration 55: (EM) log likelihood = -28329.566
Iteration 56: (EM) log likelihood = -28322.722
Iteration 57: (EM) log likelihood = -28316.034
Iteration 58: (EM) log likelihood = -28309.532
Iteration 59: (EM) log likelihood = -28303.459
Iteration 60: (EM) log likelihood = -28297.159
Iteration 61: (EM) log likelihood = -28290.785
Iteration 62: (EM) log likelihood = -28285.039
Iteration 63: (EM) log likelihood = -28279.444
Iteration 64: (EM) log likelihood = -28274.019
Iteration 65: (EM) log likelihood = -28268.609
Iteration 66: (EM) log likelihood = -28263.22
Iteration 67: (EM) log likelihood = -28258.501
Iteration 68: (EM) log likelihood = -28253.662
Iteration 69: (EM) log likelihood = -28248.73
Iteration 70: (EM) log likelihood = -28243.844
Iteration 71: (EM) log likelihood = -28239.178
Iteration 72: (EM) log likelihood = -28234.481
Iteration 73: (EM) log likelihood = -28230.023
Iteration 74: (EM) log likelihood = -28225.696
Iteration 75: (EM) log likelihood = -28221.693
Iteration 76: (EM) log likelihood = -28217.551
Iteration 77: (EM) log likelihood = -28213.224
Iteration 78: (EM) log likelihood = -28209.437
Iteration 79: (EM) log likelihood = -28205.814
Iteration 80: (EM) log likelihood = -28202.292
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5249.8467
Iteration 1: (class) log likelihood = -5249.8467
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29147.821
Iteration 1: (outcome) log likelihood = -29147.821
Refining starting values:
Iteration 0: (EM) log likelihood = -34383.211
Iteration 1: (EM) log likelihood = -34321.915
Iteration 2: (EM) log likelihood = -34096.406
Iteration 3: (EM) log likelihood = -33478.539
Iteration 4: (EM) log likelihood = -32538.313
Iteration 5: (EM) log likelihood = -31756.357
Iteration 6: (EM) log likelihood = -31267.148
Iteration 7: (EM) log likelihood = -30946.626
Iteration 8: (EM) log likelihood = -30694.453
Iteration 9: (EM) log likelihood = -30442.795
Iteration 10: (EM) log likelihood = -30174.753
Iteration 11: (EM) log likelihood = -29931.953
Iteration 12: (EM) log likelihood = -29750.763
Iteration 13: (EM) log likelihood = -29629.955
Iteration 14: (EM) log likelihood = -29547.542
Iteration 15: (EM) log likelihood = -29488.586
Iteration 16: (EM) log likelihood = -29442.438
Iteration 17: (EM) log likelihood = -29403.79
Iteration 18: (EM) log likelihood = -29370.063
Iteration 19: (EM) log likelihood = -29340.254
Iteration 20: (EM) log likelihood = -29313.021
Iteration 21: (EM) log likelihood = -29288.031
Iteration 22: (EM) log likelihood = -29266.653
Iteration 23: (EM) log likelihood = -29246.387
Iteration 24: (EM) log likelihood = -29227.66
Iteration 25: (EM) log likelihood = -29210.316
Iteration 26: (EM) log likelihood = -29193.593
Iteration 27: (EM) log likelihood = -29177.765
Iteration 28: (EM) log likelihood = -29161.378
Iteration 29: (EM) log likelihood = -29144.934
Iteration 30: (EM) log likelihood = -29127.887
Iteration 31: (EM) log likelihood = -29111.664
Iteration 32: (EM) log likelihood = -29096.987
Iteration 33: (EM) log likelihood = -29081.853
Iteration 34: (EM) log likelihood = -29067.829
Iteration 35: (EM) log likelihood = -29055.994
Iteration 36: (EM) log likelihood = -29045.821
Iteration 37: (EM) log likelihood = -29037.181
Iteration 38: (EM) log likelihood = -29029.965
Iteration 39: (EM) log likelihood = -29023.893
Iteration 40: (EM) log likelihood = -29018.684
Iteration 41: (EM) log likelihood = -29015.065
Iteration 42: (EM) log likelihood = -29011.274
Iteration 43: (EM) log likelihood = -29007.328
Iteration 44: (EM) log likelihood = -29004.592
Iteration 45: (EM) log likelihood = -29001.339
Iteration 46: (EM) log likelihood = -28998.631
Iteration 47: (EM) log likelihood = -28996.017
Iteration 48: (EM) log likelihood = -28992.458
Iteration 49: (EM) log likelihood = -28990.169
Iteration 50: (EM) log likelihood = -28987.748
Iteration 51: (EM) log likelihood = -28984.973
Iteration 52: (EM) log likelihood = -28982.049
Iteration 53: (EM) log likelihood = -28979.646
Iteration 54: (EM) log likelihood = -28976.618
Iteration 55: (EM) log likelihood = -28973.76
Iteration 56: (EM) log likelihood = -28971.314
Iteration 57: (EM) log likelihood = -28968.5
Iteration 58: (EM) log likelihood = -28966.005
Iteration 59: (EM) log likelihood = -28963.315
Iteration 60: (EM) log likelihood = -28960.616
Iteration 61: (EM) log likelihood = -28957.752
Iteration 62: (EM) log likelihood = -28953.514
Iteration 63: (EM) log likelihood = -28951.546
Iteration 64: (EM) log likelihood = -28948.908
Iteration 65: (EM) log likelihood = -28945.455
Iteration 66: (EM) log likelihood = -28942.143
Iteration 67: (EM) log likelihood = -28939.349
Iteration 68: (EM) log likelihood = -28936.639
Iteration 69: (EM) log likelihood = -28933.823
Iteration 70: (EM) log likelihood = -28930.204
Iteration 71: (EM) log likelihood = -28927.253
Iteration 72: (EM) log likelihood = -28924.927
Iteration 73: (EM) log likelihood = -28921.632
Iteration 74: (EM) log likelihood = -28918.254
Iteration 75: (EM) log likelihood = -28915.665
Iteration 76: (EM) log likelihood = -28912.117
Iteration 77: (EM) log likelihood = -28909.127
Iteration 78: (EM) log likelihood = -28906.038
Iteration 79: (EM) log likelihood = -28903.044
Iteration 80: (EM) log likelihood = -28900.047
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5250.2434
Iteration 1: (class) log likelihood = -5250.2434
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29143.507
Iteration 1: (outcome) log likelihood = -29143.507
Refining starting values:
Iteration 0: (EM) log likelihood = -34380.982
Iteration 1: (EM) log likelihood = -34330.143
Iteration 2: (EM) log likelihood = -34150.302
Iteration 3: (EM) log likelihood = -33608.69
Iteration 4: (EM) log likelihood = -32602.872
Iteration 5: (EM) log likelihood = -31653.808
Iteration 6: (EM) log likelihood = -31019.3
Iteration 7: (EM) log likelihood = -30572.712
Iteration 8: (EM) log likelihood = -30260.019
Iteration 9: (EM) log likelihood = -30047.796
Iteration 10: (EM) log likelihood = -29897.64
Iteration 11: (EM) log likelihood = -29781.946
Iteration 12: (EM) log likelihood = -29686.872
Iteration 13: (EM) log likelihood = -29608.108
Iteration 14: (EM) log likelihood = -29539.321
Iteration 15: (EM) log likelihood = -29480.581
Iteration 16: (EM) log likelihood = -29430.999
Iteration 17: (EM) log likelihood = -29387.835
Iteration 18: (EM) log likelihood = -29350.155
Iteration 19: (EM) log likelihood = -29318.971
Iteration 20: (EM) log likelihood = -29294.849
Iteration 21: (EM) log likelihood = -29275.54
Iteration 22: (EM) log likelihood = -29260.089
Iteration 23: (EM) log likelihood = -29247.169
Iteration 24: (EM) log likelihood = -29236.512
Iteration 25: (EM) log likelihood = -29228.047
Iteration 26: (EM) log likelihood = -29220.643
Iteration 27: (EM) log likelihood = -29213.681
Iteration 28: (EM) log likelihood = -29207.404
Iteration 29: (EM) log likelihood = -29201.502
Iteration 30: (EM) log likelihood = -29195.745
Iteration 31: (EM) log likelihood = -29190.112
Iteration 32: (EM) log likelihood = -29184.515
Iteration 33: (EM) log likelihood = -29178.886
Iteration 34: (EM) log likelihood = -29173.226
Iteration 35: (EM) log likelihood = -29167.385
Iteration 36: (EM) log likelihood = -29161.514
Iteration 37: (EM) log likelihood = -29155.379
Iteration 38: (EM) log likelihood = -29149.472
Iteration 39: (EM) log likelihood = -29142.697
Iteration 40: (EM) log likelihood = -29136.037
Iteration 41: (EM) log likelihood = -29129.143
Iteration 42: (EM) log likelihood = -29122.26
Iteration 43: (EM) log likelihood = -29114.712
Iteration 44: (EM) log likelihood = -29107.467
Iteration 45: (EM) log likelihood = -29099.876
Iteration 46: (EM) log likelihood = -29091.401
Iteration 47: (EM) log likelihood = -29083.504
Iteration 48: (EM) log likelihood = -29074.622
Iteration 49: (EM) log likelihood = -29065.207
Iteration 50: (EM) log likelihood = -29056.645
Iteration 51: (EM) log likelihood = -29048.304
Iteration 52: (EM) log likelihood = -29040.749
Iteration 53: (EM) log likelihood = -29032.077
Iteration 54: (EM) log likelihood = -29023.087
Iteration 55: (EM) log likelihood = -29016.74
Iteration 56: (EM) log likelihood = -29009.985
Iteration 57: (EM) log likelihood = -29004.5
Iteration 58: (EM) log likelihood = -28998.08
Iteration 59: (EM) log likelihood = -28993.403
Iteration 60: (EM) log likelihood = -28987.67
Iteration 61: (EM) log likelihood = -28982.503
Iteration 62: (EM) log likelihood = -28975.797
Iteration 63: (EM) log likelihood = -28971.012
Iteration 64: (EM) log likelihood = -28964.969
Iteration 65: (EM) log likelihood = -28959.886
Iteration 66: (EM) log likelihood = -28955.891
Iteration 67: (EM) log likelihood = -28952.858
Iteration 68: (EM) log likelihood = -28948.954
Iteration 69: (EM) log likelihood = -28944.153
Iteration 70: (EM) log likelihood = -28939.82
Iteration 71: (EM) log likelihood = -28935.485
Iteration 72: (EM) log likelihood = -28932.623
Iteration 73: (EM) log likelihood = -28928.944
Iteration 74: (EM) log likelihood = -28924.927
Iteration 75: (EM) log likelihood = -28921.514
Iteration 76: (EM) log likelihood = -28918.367
Iteration 77: (EM) log likelihood = -28914.468
Iteration 78: (EM) log likelihood = -28910.224
Iteration 79: (EM) log likelihood = -28905.91
Iteration 80: (EM) log likelihood = -28902.275
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5249.531
Iteration 1: (class) log likelihood = -5249.531
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29136.171
Iteration 1: (outcome) log likelihood = -29136.171
Refining starting values:
Iteration 0: (EM) log likelihood = -34384.953
Iteration 1: (EM) log likelihood = -34371.184
Iteration 2: (EM) log likelihood = -34323.39
Iteration 3: (EM) log likelihood = -34160.733
Iteration 4: (EM) log likelihood = -33680.987
Iteration 5: (EM) log likelihood = -32785.985
Iteration 6: (EM) log likelihood = -31861.843
Iteration 7: (EM) log likelihood = -31154.088
Iteration 8: (EM) log likelihood = -30618.836
Iteration 9: (EM) log likelihood = -30251.507
Iteration 10: (EM) log likelihood = -30022.964
Iteration 11: (EM) log likelihood = -29884.599
Iteration 12: (EM) log likelihood = -29793.82
Iteration 13: (EM) log likelihood = -29723.189
Iteration 14: (EM) log likelihood = -29658.621
Iteration 15: (EM) log likelihood = -29594.892
Iteration 16: (EM) log likelihood = -29528.212
Iteration 17: (EM) log likelihood = -29457.683
Iteration 18: (EM) log likelihood = -29383.724
Iteration 19: (EM) log likelihood = -29309.009
Iteration 20: (EM) log likelihood = -29235.103
Iteration 21: (EM) log likelihood = -29167.465
Iteration 22: (EM) log likelihood = -29106.68
Iteration 23: (EM) log likelihood = -29053.405
Iteration 24: (EM) log likelihood = -29008.846
Iteration 25: (EM) log likelihood = -28971.968
Iteration 26: (EM) log likelihood = -28941.203
Iteration 27: (EM) log likelihood = -28912.282
Iteration 28: (EM) log likelihood = -28891.353
Iteration 29: (EM) log likelihood = -28873.321
Iteration 30: (EM) log likelihood = -28857.898
Iteration 31: (EM) log likelihood = -28844.861
Iteration 32: (EM) log likelihood = -28833.432
Iteration 33: (EM) log likelihood = -28823.379
Iteration 34: (EM) log likelihood = -28814.562
Iteration 35: (EM) log likelihood = -28806.201
Iteration 36: (EM) log likelihood = -28799.577
Iteration 37: (EM) log likelihood = -28793.438
Iteration 38: (EM) log likelihood = -28787.926
Iteration 39: (EM) log likelihood = -28782.758
Iteration 40: (EM) log likelihood = -28777.603
Iteration 41: (EM) log likelihood = -28772.712
Iteration 42: (EM) log likelihood = -28768.546
Iteration 43: (EM) log likelihood = -28764.396
Iteration 44: (EM) log likelihood = -28760.333
Iteration 45: (EM) log likelihood = -28756.334
Iteration 46: (EM) log likelihood = -28752.402
Iteration 47: (EM) log likelihood = -28748.518
Iteration 48: (EM) log likelihood = -28744.621
Iteration 49: (EM) log likelihood = -28740.26
Iteration 50: (EM) log likelihood = -28736.633
Iteration 51: (EM) log likelihood = -28733.248
Iteration 52: (EM) log likelihood = -28729.802
Iteration 53: (EM) log likelihood = -28725.511
Iteration 54: (EM) log likelihood = -28721.121
Iteration 55: (EM) log likelihood = -28717.062
Iteration 56: (EM) log likelihood = -28712.974
Iteration 57: (EM) log likelihood = -28709.003
Iteration 58: (EM) log likelihood = -28704.758
Iteration 59: (EM) log likelihood = -28700.718
Iteration 60: (EM) log likelihood = -28696.702
Iteration 61: (EM) log likelihood = -28692.439
Iteration 62: (EM) log likelihood = -28688.748
Iteration 63: (EM) log likelihood = -28684.788
Iteration 64: (EM) log likelihood = -28680.238
Iteration 65: (EM) log likelihood = -28676.401
Iteration 66: (EM) log likelihood = -28672.495
Iteration 67: (EM) log likelihood = -28668.773
Iteration 68: (EM) log likelihood = -28665.093
Iteration 69: (EM) log likelihood = -28661.457
Iteration 70: (EM) log likelihood = -28657.894
Iteration 71: (EM) log likelihood = -28654.368
Iteration 72: (EM) log likelihood = -28650.775
Iteration 73: (EM) log likelihood = -28647.356
Iteration 74: (EM) log likelihood = -28643.909
Iteration 75: (EM) log likelihood = -28640.767
Iteration 76: (EM) log likelihood = -28637.346
Iteration 77: (EM) log likelihood = -28634.014
Iteration 78: (EM) log likelihood = -28630.605
Iteration 79: (EM) log likelihood = -28627.358
Iteration 80: (EM) log likelihood = -28624.193
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5248.8618
Iteration 1: (class) log likelihood = -5248.8618
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29719.314
Iteration 1: (outcome) log likelihood = -29203.328
Iteration 2: (outcome) log likelihood = -29152.927
Iteration 3: (outcome) log likelihood = -29137.42
Iteration 4: (outcome) log likelihood = -29133.98
Iteration 5: (outcome) log likelihood = -29133.282
Iteration 6: (outcome) log likelihood = -29133.14
Iteration 7: (outcome) log likelihood = -29133.105
Iteration 8: (outcome) log likelihood = -29133.098
Iteration 9: (outcome) log likelihood = -29133.096
Iteration 10: (outcome) log likelihood = -29133.096
Iteration 11: (outcome) log likelihood = -29133.096
Iteration 12: (outcome) log likelihood = -29133.096
Refining starting values:
Iteration 0: (EM) log likelihood = -34376.292
Iteration 1: (EM) log likelihood = -34361.758
Iteration 2: (EM) log likelihood = -34334.871
Iteration 3: (EM) log likelihood = -34288.505
Iteration 4: (EM) log likelihood = -34210.521
Iteration 5: (EM) log likelihood = -34080.979
Iteration 6: (EM) log likelihood = -33870.13
Iteration 7: (EM) log likelihood = -33537.608
Iteration 8: (EM) log likelihood = -33042.626
Iteration 9: (EM) log likelihood = -32451.447
Iteration 10: (EM) log likelihood = -31898.535
Iteration 11: (EM) log likelihood = -31413.268
Iteration 12: (EM) log likelihood = -30927.689
Iteration 13: (EM) log likelihood = -30418.236
Iteration 14: (EM) log likelihood = -29967.666
Iteration 15: (EM) log likelihood = -29638.223
Iteration 16: (EM) log likelihood = -29403.949
Iteration 17: (EM) log likelihood = -29236.886
Iteration 18: (EM) log likelihood = -29118.493
Iteration 19: (EM) log likelihood = -29039.818
Iteration 20: (EM) log likelihood = -28987.102
Iteration 21: (EM) log likelihood = -28950.403
Iteration 22: (EM) log likelihood = -28926.948
Iteration 23: (EM) log likelihood = -28908.167
Iteration 24: (EM) log likelihood = -28894.184
Iteration 25: (EM) log likelihood = -28882.675
Iteration 26: (EM) log likelihood = -28874.964
Iteration 27: (EM) log likelihood = -28868.376
Iteration 28: (EM) log likelihood = -28863.19
Iteration 29: (EM) log likelihood = -28859.101
Iteration 30: (EM) log likelihood = -28854.391
Iteration 31: (EM) log likelihood = -28850.696
Iteration 32: (EM) log likelihood = -28845.098
Iteration 33: (EM) log likelihood = -28840.099
Iteration 34: (EM) log likelihood = -28836.152
Iteration 35: (EM) log likelihood = -28833.296
Iteration 36: (EM) log likelihood = -28829.615
Iteration 37: (EM) log likelihood = -28826.19
Iteration 38: (EM) log likelihood = -28822.986
Iteration 39: (EM) log likelihood = -28819.903
Iteration 40: (EM) log likelihood = -28816.864
Iteration 41: (EM) log likelihood = -28813.746
Iteration 42: (EM) log likelihood = -28810.577
Iteration 43: (EM) log likelihood = -28807.621
Iteration 44: (EM) log likelihood = -28804.394
Iteration 45: (EM) log likelihood = -28800.726
Iteration 46: (EM) log likelihood = -28797.207
Iteration 47: (EM) log likelihood = -28793.594
Iteration 48: (EM) log likelihood = -28789.772
Iteration 49: (EM) log likelihood = -28785.694
Iteration 50: (EM) log likelihood = -28781.421
Iteration 51: (EM) log likelihood = -28777.595
Iteration 52: (EM) log likelihood = -28772.587
Iteration 53: (EM) log likelihood = -28768.652
Iteration 54: (EM) log likelihood = -28764.503
Iteration 55: (EM) log likelihood = -28759.379
Iteration 56: (EM) log likelihood = -28755.605
Iteration 57: (EM) log likelihood = -28751.261
Iteration 58: (EM) log likelihood = -28747.194
Iteration 59: (EM) log likelihood = -28742.39
Iteration 60: (EM) log likelihood = -28738.462
Iteration 61: (EM) log likelihood = -28734.063
Iteration 62: (EM) log likelihood = -28730.131
Iteration 63: (EM) log likelihood = -28726.106
Iteration 64: (EM) log likelihood = -28722.141
Iteration 65: (EM) log likelihood = -28718.084
Iteration 66: (EM) log likelihood = -28713.398
Iteration 67: (EM) log likelihood = -28709.413
Iteration 68: (EM) log likelihood = -28705.46
Iteration 69: (EM) log likelihood = -28700.943
Iteration 70: (EM) log likelihood = -28697.165
Iteration 71: (EM) log likelihood = -28692.521
Iteration 72: (EM) log likelihood = -28688.218
Iteration 73: (EM) log likelihood = -28684.433
Iteration 74: (EM) log likelihood = -28679.829
Iteration 75: (EM) log likelihood = -28675.424
Iteration 76: (EM) log likelihood = -28671.159
Iteration 77: (EM) log likelihood = -28667.17
Iteration 78: (EM) log likelihood = -28662.765
Iteration 79: (EM) log likelihood = -28658.855
Iteration 80: (EM) log likelihood = -28655.013
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5250.6961
Iteration 1: (class) log likelihood = -5250.6961
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29721.089
Iteration 1: (outcome) log likelihood = -29293.634
Iteration 2: (outcome) log likelihood = -29157.015
Iteration 3: (outcome) log likelihood = -29135.497
Iteration 4: (outcome) log likelihood = -29130.238
Iteration 5: (outcome) log likelihood = -29129.131
Iteration 6: (outcome) log likelihood = -29128.897
Iteration 7: (outcome) log likelihood = -29128.845
Iteration 8: (outcome) log likelihood = -29128.832
Iteration 9: (outcome) log likelihood = -29128.829
Iteration 10: (outcome) log likelihood = -29128.829
Iteration 11: (outcome) log likelihood = -29128.829
Iteration 12: (outcome) log likelihood = -29128.829
Refining starting values:
Iteration 0: (EM) log likelihood = -34359.851
Iteration 1: (EM) log likelihood = -34285.756
Iteration 2: (EM) log likelihood = -34038.242
Iteration 3: (EM) log likelihood = -33402.591
Iteration 4: (EM) log likelihood = -32446.498
Iteration 5: (EM) log likelihood = -31616.025
Iteration 6: (EM) log likelihood = -31059.755
Iteration 7: (EM) log likelihood = -30678.313
Iteration 8: (EM) log likelihood = -30408.311
Iteration 9: (EM) log likelihood = -30201.979
Iteration 10: (EM) log likelihood = -30018.328
Iteration 11: (EM) log likelihood = -29833.223
Iteration 12: (EM) log likelihood = -29643.049
Iteration 13: (EM) log likelihood = -29458.303
Iteration 14: (EM) log likelihood = -29307.555
Iteration 15: (EM) log likelihood = -29198.424
Iteration 16: (EM) log likelihood = -29124.922
Iteration 17: (EM) log likelihood = -29074.282
Iteration 18: (EM) log likelihood = -29038.584
Iteration 19: (EM) log likelihood = -29012.695
Iteration 20: (EM) log likelihood = -28993.501
Iteration 21: (EM) log likelihood = -28979.131
Iteration 22: (EM) log likelihood = -28968.36
Iteration 23: (EM) log likelihood = -28960.274
Iteration 24: (EM) log likelihood = -28953.88
Iteration 25: (EM) log likelihood = -28948.747
Iteration 26: (EM) log likelihood = -28944.357
Iteration 27: (EM) log likelihood = -28940.69
Iteration 28: (EM) log likelihood = -28937.681
Iteration 29: (EM) log likelihood = -28935.068
Iteration 30: (EM) log likelihood = -28932.392
Iteration 31: (EM) log likelihood = -28929.307
Iteration 32: (EM) log likelihood = -28926.098
Iteration 33: (EM) log likelihood = -28923.429
Iteration 34: (EM) log likelihood = -28920.863
Iteration 35: (EM) log likelihood = -28918.177
Iteration 36: (EM) log likelihood = -28915.501
Iteration 37: (EM) log likelihood = -28912.412
Iteration 38: (EM) log likelihood = -28909.583
Iteration 39: (EM) log likelihood = -28906.322
Iteration 40: (EM) log likelihood = -28903.519
Iteration 41: (EM) log likelihood = -28900.311
Iteration 42: (EM) log likelihood = -28897.127
Iteration 43: (EM) log likelihood = -28893.437
Iteration 44: (EM) log likelihood = -28889.834
Iteration 45: (EM) log likelihood = -28886.402
Iteration 46: (EM) log likelihood = -28882.431
Iteration 47: (EM) log likelihood = -28878.944
Iteration 48: (EM) log likelihood = -28875.129
Iteration 49: (EM) log likelihood = -28871.166
Iteration 50: (EM) log likelihood = -28866.872
Iteration 51: (EM) log likelihood = -28862.904
Iteration 52: (EM) log likelihood = -28859.367
Iteration 53: (EM) log likelihood = -28855.181
Iteration 54: (EM) log likelihood = -28850.63
Iteration 55: (EM) log likelihood = -28846.158
Iteration 56: (EM) log likelihood = -28840.985
Iteration 57: (EM) log likelihood = -28836.81
Iteration 58: (EM) log likelihood = -28832.66
Iteration 59: (EM) log likelihood = -28828.139
Iteration 60: (EM) log likelihood = -28823.82
Iteration 61: (EM) log likelihood = -28818.765
Iteration 62: (EM) log likelihood = -28813.891
Iteration 63: (EM) log likelihood = -28809.374
Iteration 64: (EM) log likelihood = -28804.113
Iteration 65: (EM) log likelihood = -28799.872
Iteration 66: (EM) log likelihood = -28794.701
Iteration 67: (EM) log likelihood = -28789.609
Iteration 68: (EM) log likelihood = -28784.404
Iteration 69: (EM) log likelihood = -28779.71
Iteration 70: (EM) log likelihood = -28775.19
Iteration 71: (EM) log likelihood = -28770.446
Iteration 72: (EM) log likelihood = -28765.588
Iteration 73: (EM) log likelihood = -28760.752
Iteration 74: (EM) log likelihood = -28755.944
Iteration 75: (EM) log likelihood = -28751.207
Iteration 76: (EM) log likelihood = -28746.416
Iteration 77: (EM) log likelihood = -28741.32
Iteration 78: (EM) log likelihood = -28736.834
Iteration 79: (EM) log likelihood = -28732.041
Iteration 80: (EM) log likelihood = -28726.114
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.3763
Iteration 1: (class) log likelihood = -5252.3763
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29128.108
Iteration 1: (outcome) log likelihood = -29128.108
Refining starting values:
Iteration 0: (EM) log likelihood = -34373.225
Iteration 1: (EM) log likelihood = -34345.129
Iteration 2: (EM) log likelihood = -34270.079
Iteration 3: (EM) log likelihood = -34081.137
Iteration 4: (EM) log likelihood = -33669.599
Iteration 5: (EM) log likelihood = -32973.102
Iteration 6: (EM) log likelihood = -32088.221
Iteration 7: (EM) log likelihood = -31245.632
Iteration 8: (EM) log likelihood = -30557.359
Iteration 9: (EM) log likelihood = -30027.246
Iteration 10: (EM) log likelihood = -29658.716
Iteration 11: (EM) log likelihood = -29429.838
Iteration 12: (EM) log likelihood = -29294.185
Iteration 13: (EM) log likelihood = -29213.372
Iteration 14: (EM) log likelihood = -29164.126
Iteration 15: (EM) log likelihood = -29129.322
Iteration 16: (EM) log likelihood = -29102.165
Iteration 17: (EM) log likelihood = -29078.796
Iteration 18: (EM) log likelihood = -29057.299
Iteration 19: (EM) log likelihood = -29036.823
Iteration 20: (EM) log likelihood = -29018.022
Iteration 21: (EM) log likelihood = -29001.723
Iteration 22: (EM) log likelihood = -28985.792
Iteration 23: (EM) log likelihood = -28972.281
Iteration 24: (EM) log likelihood = -28958.84
Iteration 25: (EM) log likelihood = -28946.351
Iteration 26: (EM) log likelihood = -28935.429
Iteration 27: (EM) log likelihood = -28923.612
Iteration 28: (EM) log likelihood = -28911.155
Iteration 29: (EM) log likelihood = -28899.125
Iteration 30: (EM) log likelihood = -28888.065
Iteration 31: (EM) log likelihood = -28877.141
Iteration 32: (EM) log likelihood = -28866.708
Iteration 33: (EM) log likelihood = -28856.371
Iteration 34: (EM) log likelihood = -28845.765
Iteration 35: (EM) log likelihood = -28835.086
Iteration 36: (EM) log likelihood = -28823.626
Iteration 37: (EM) log likelihood = -28811.453
Iteration 38: (EM) log likelihood = -28797.641
Iteration 39: (EM) log likelihood = -28782.602
Iteration 40: (EM) log likelihood = -28765.665
Iteration 41: (EM) log likelihood = -28746.751
Iteration 42: (EM) log likelihood = -28726.407
Iteration 43: (EM) log likelihood = -28706.334
Iteration 44: (EM) log likelihood = -28686.536
Iteration 45: (EM) log likelihood = -28667.657
Iteration 46: (EM) log likelihood = -28649.692
Iteration 47: (EM) log likelihood = -28633.25
Iteration 48: (EM) log likelihood = -28618.057
Iteration 49: (EM) log likelihood = -28604.194
Iteration 50: (EM) log likelihood = -28590.908
Iteration 51: (EM) log likelihood = -28578.261
Iteration 52: (EM) log likelihood = -28565.785
Iteration 53: (EM) log likelihood = -28555.229
Iteration 54: (EM) log likelihood = -28543.257
Iteration 55: (EM) log likelihood = -28531.555
Iteration 56: (EM) log likelihood = -28520.325
Iteration 57: (EM) log likelihood = -28509.629
Iteration 58: (EM) log likelihood = -28498.959
Iteration 59: (EM) log likelihood = -28488.518
Iteration 60: (EM) log likelihood = -28477.947
Iteration 61: (EM) log likelihood = -28468.115
Iteration 62: (EM) log likelihood = -28458.478
Iteration 63: (EM) log likelihood = -28449.156
Iteration 64: (EM) log likelihood = -28440.129
Iteration 65: (EM) log likelihood = -28429.462
Iteration 66: (EM) log likelihood = -28420.858
Iteration 67: (EM) log likelihood = -28412.434
Iteration 68: (EM) log likelihood = -28404.332
Iteration 69: (EM) log likelihood = -28396.076
Iteration 70: (EM) log likelihood = -28388.184
Iteration 71: (EM) log likelihood = -28380.643
Iteration 72: (EM) log likelihood = -28373.169
Iteration 73: (EM) log likelihood = -28365.892
Iteration 74: (EM) log likelihood = -28358.805
Iteration 75: (EM) log likelihood = -28351.945
Iteration 76: (EM) log likelihood = -28345.242
Iteration 77: (EM) log likelihood = -28338.608
Iteration 78: (EM) log likelihood = -28332.222
Iteration 79: (EM) log likelihood = -28326.045
Iteration 80: (EM) log likelihood = -28319.436
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.7356
Iteration 1: (class) log likelihood = -5251.7356
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29141.73
Iteration 1: (outcome) log likelihood = -29141.73
Refining starting values:
Iteration 0: (EM) log likelihood = -34380.501
Iteration 1: (EM) log likelihood = -34342.492
Iteration 2: (EM) log likelihood = -34226.085
Iteration 3: (EM) log likelihood = -33899.022
Iteration 4: (EM) log likelihood = -33203.713
Iteration 5: (EM) log likelihood = -32193.804
Iteration 6: (EM) log likelihood = -31222.132
Iteration 7: (EM) log likelihood = -30496.828
Iteration 8: (EM) log likelihood = -29991.519
Iteration 9: (EM) log likelihood = -29682.15
Iteration 10: (EM) log likelihood = -29506.798
Iteration 11: (EM) log likelihood = -29405.189
Iteration 12: (EM) log likelihood = -29342.382
Iteration 13: (EM) log likelihood = -29302.07
Iteration 14: (EM) log likelihood = -29275.459
Iteration 15: (EM) log likelihood = -29256.186
Iteration 16: (EM) log likelihood = -29241.682
Iteration 17: (EM) log likelihood = -29230.497
Iteration 18: (EM) log likelihood = -29220.006
Iteration 19: (EM) log likelihood = -29210.15
Iteration 20: (EM) log likelihood = -29200.288
Iteration 21: (EM) log likelihood = -29189.483
Iteration 22: (EM) log likelihood = -29176.821
Iteration 23: (EM) log likelihood = -29163.485
Iteration 24: (EM) log likelihood = -29146.643
Iteration 25: (EM) log likelihood = -29126.377
Iteration 26: (EM) log likelihood = -29104.768
Iteration 27: (EM) log likelihood = -29082.267
Iteration 28: (EM) log likelihood = -29058.429
Iteration 29: (EM) log likelihood = -29033.419
Iteration 30: (EM) log likelihood = -29008.122
Iteration 31: (EM) log likelihood = -28983.211
Iteration 32: (EM) log likelihood = -28958.858
Iteration 33: (EM) log likelihood = -28934.513
Iteration 34: (EM) log likelihood = -28910.618
Iteration 35: (EM) log likelihood = -28889.686
Iteration 36: (EM) log likelihood = -28870.524
Iteration 37: (EM) log likelihood = -28854.119
Iteration 38: (EM) log likelihood = -28839.762
Iteration 39: (EM) log likelihood = -28826.92
Iteration 40: (EM) log likelihood = -28815.98
Iteration 41: (EM) log likelihood = -28806.093
Iteration 42: (EM) log likelihood = -28797.587
Iteration 43: (EM) log likelihood = -28789.964
Iteration 44: (EM) log likelihood = -28783.283
Iteration 45: (EM) log likelihood = -28777.239
Iteration 46: (EM) log likelihood = -28771.479
Iteration 47: (EM) log likelihood = -28766.337
Iteration 48: (EM) log likelihood = -28761.469
Iteration 49: (EM) log likelihood = -28756.92
Iteration 50: (EM) log likelihood = -28752.422
Iteration 51: (EM) log likelihood = -28748.108
Iteration 52: (EM) log likelihood = -28743.92
Iteration 53: (EM) log likelihood = -28739.823
Iteration 54: (EM) log likelihood = -28735.978
Iteration 55: (EM) log likelihood = -28731.959
Iteration 56: (EM) log likelihood = -28727.979
Iteration 57: (EM) log likelihood = -28724.094
Iteration 58: (EM) log likelihood = -28720.174
Iteration 59: (EM) log likelihood = -28716.186
Iteration 60: (EM) log likelihood = -28712.229
Iteration 61: (EM) log likelihood = -28708.213
Iteration 62: (EM) log likelihood = -28703.908
Iteration 63: (EM) log likelihood = -28699.634
Iteration 64: (EM) log likelihood = -28695.338
Iteration 65: (EM) log likelihood = -28691.071
Iteration 66: (EM) log likelihood = -28686.657
Iteration 67: (EM) log likelihood = -28682.399
Iteration 68: (EM) log likelihood = -28677.913
Iteration 69: (EM) log likelihood = -28673.397
Iteration 70: (EM) log likelihood = -28668.631
Iteration 71: (EM) log likelihood = -28664.278
Iteration 72: (EM) log likelihood = -28659.999
Iteration 73: (EM) log likelihood = -28655.512
Iteration 74: (EM) log likelihood = -28651.133
Iteration 75: (EM) log likelihood = -28646.787
Iteration 76: (EM) log likelihood = -28642.517
Iteration 77: (EM) log likelihood = -28638.35
Iteration 78: (EM) log likelihood = -28634.984
Iteration 79: (EM) log likelihood = -28630.39
Iteration 80: (EM) log likelihood = -28626.243
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.5487
Iteration 1: (class) log likelihood = -5251.5487
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29131.916
Iteration 1: (outcome) log likelihood = -29131.916
Refining starting values:
Iteration 0: (EM) log likelihood = -34370.35
Iteration 1: (EM) log likelihood = -34321.284
Iteration 2: (EM) log likelihood = -34176.468
Iteration 3: (EM) log likelihood = -33806.044
Iteration 4: (EM) log likelihood = -33145.662
Iteration 5: (EM) log likelihood = -32368.022
Iteration 6: (EM) log likelihood = -31592.205
Iteration 7: (EM) log likelihood = -30843.334
Iteration 8: (EM) log likelihood = -30220.852
Iteration 9: (EM) log likelihood = -29786.342
Iteration 10: (EM) log likelihood = -29494.017
Iteration 11: (EM) log likelihood = -29324.49
Iteration 12: (EM) log likelihood = -29238.431
Iteration 13: (EM) log likelihood = -29190.981
Iteration 14: (EM) log likelihood = -29159.154
Iteration 15: (EM) log likelihood = -29134.202
Iteration 16: (EM) log likelihood = -29113.121
Iteration 17: (EM) log likelihood = -29093.853
Iteration 18: (EM) log likelihood = -29074.394
Iteration 19: (EM) log likelihood = -29051.806
Iteration 20: (EM) log likelihood = -29026.164
Iteration 21: (EM) log likelihood = -28998.281
Iteration 22: (EM) log likelihood = -28966.619
Iteration 23: (EM) log likelihood = -28934.685
Iteration 24: (EM) log likelihood = -28903.562
Iteration 25: (EM) log likelihood = -28874.016
Iteration 26: (EM) log likelihood = -28845.766
Iteration 27: (EM) log likelihood = -28821.691
Iteration 28: (EM) log likelihood = -28799.579
Iteration 29: (EM) log likelihood = -28780.381
Iteration 30: (EM) log likelihood = -28764.449
Iteration 31: (EM) log likelihood = -28750.491
Iteration 32: (EM) log likelihood = -28738.371
Iteration 33: (EM) log likelihood = -28727.181
Iteration 34: (EM) log likelihood = -28717.65
Iteration 35: (EM) log likelihood = -28705.404
Iteration 36: (EM) log likelihood = -28693.276
Iteration 37: (EM) log likelihood = -28680.842
Iteration 38: (EM) log likelihood = -28668.169
Iteration 39: (EM) log likelihood = -28655.519
Iteration 40: (EM) log likelihood = -28643.255
Iteration 41: (EM) log likelihood = -28630.574
Iteration 42: (EM) log likelihood = -28618.219
Iteration 43: (EM) log likelihood = -28605.868
Iteration 44: (EM) log likelihood = -28594.061
Iteration 45: (EM) log likelihood = -28581.76
Iteration 46: (EM) log likelihood = -28569.713
Iteration 47: (EM) log likelihood = -28557.646
Iteration 48: (EM) log likelihood = -28546.086
Iteration 49: (EM) log likelihood = -28534.767
Iteration 50: (EM) log likelihood = -28523.336
Iteration 51: (EM) log likelihood = -28512.287
Iteration 52: (EM) log likelihood = -28501.272
Iteration 53: (EM) log likelihood = -28490.443
Iteration 54: (EM) log likelihood = -28480.161
Iteration 55: (EM) log likelihood = -28469.914
Iteration 56: (EM) log likelihood = -28459.829
Iteration 57: (EM) log likelihood = -28449.978
Iteration 58: (EM) log likelihood = -28440.382
Iteration 59: (EM) log likelihood = -28430.56
Iteration 60: (EM) log likelihood = -28421.365
Iteration 61: (EM) log likelihood = -28413.416
Iteration 62: (EM) log likelihood = -28404.923
Iteration 63: (EM) log likelihood = -28396.235
Iteration 64: (EM) log likelihood = -28387.678
Iteration 65: (EM) log likelihood = -28379.305
Iteration 66: (EM) log likelihood = -28371.302
Iteration 67: (EM) log likelihood = -28362.91
Iteration 68: (EM) log likelihood = -28355.297
Iteration 69: (EM) log likelihood = -28347.811
Iteration 70: (EM) log likelihood = -28340.473
Iteration 71: (EM) log likelihood = -28333.244
Iteration 72: (EM) log likelihood = -28325.996
Iteration 73: (EM) log likelihood = -28319.098
Iteration 74: (EM) log likelihood = -28312.487
Iteration 75: (EM) log likelihood = -28306.11
Iteration 76: (EM) log likelihood = -28299.874
Iteration 77: (EM) log likelihood = -28293.76
Iteration 78: (EM) log likelihood = -28287.741
Iteration 79: (EM) log likelihood = -28281.642
Iteration 80: (EM) log likelihood = -28276.165
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.7171
Iteration 1: (class) log likelihood = -5251.7171
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29130.373
Iteration 1: (outcome) log likelihood = -29130.373
Refining starting values:
Iteration 0: (EM) log likelihood = -34377.358
Iteration 1: (EM) log likelihood = -34351.491
Iteration 2: (EM) log likelihood = -34255.152
Iteration 3: (EM) log likelihood = -33903.414
Iteration 4: (EM) log likelihood = -32999.13
Iteration 5: (EM) log likelihood = -31891.76
Iteration 6: (EM) log likelihood = -31129.645
Iteration 7: (EM) log likelihood = -30604.02
Iteration 8: (EM) log likelihood = -30216.222
Iteration 9: (EM) log likelihood = -29945.473
Iteration 10: (EM) log likelihood = -29756.689
Iteration 11: (EM) log likelihood = -29616.335
Iteration 12: (EM) log likelihood = -29503.508
Iteration 13: (EM) log likelihood = -29405.993
Iteration 14: (EM) log likelihood = -29321.082
Iteration 15: (EM) log likelihood = -29249.006
Iteration 16: (EM) log likelihood = -29190.947
Iteration 17: (EM) log likelihood = -29145.25
Iteration 18: (EM) log likelihood = -29111.882
Iteration 19: (EM) log likelihood = -29086.489
Iteration 20: (EM) log likelihood = -29067.213
Iteration 21: (EM) log likelihood = -29052.967
Iteration 22: (EM) log likelihood = -29042.124
Iteration 23: (EM) log likelihood = -29031.653
Iteration 24: (EM) log likelihood = -29023.36
Iteration 25: (EM) log likelihood = -29016.259
Iteration 26: (EM) log likelihood = -29009.62
Iteration 27: (EM) log likelihood = -29003.626
Iteration 28: (EM) log likelihood = -28997.51
Iteration 29: (EM) log likelihood = -28991.556
Iteration 30: (EM) log likelihood = -28985.819
Iteration 31: (EM) log likelihood = -28980.87
Iteration 32: (EM) log likelihood = -28975.592
Iteration 33: (EM) log likelihood = -28970.352
Iteration 34: (EM) log likelihood = -28965.31
Iteration 35: (EM) log likelihood = -28960.097
Iteration 36: (EM) log likelihood = -28954.811
Iteration 37: (EM) log likelihood = -28949.534
Iteration 38: (EM) log likelihood = -28943.678
Iteration 39: (EM) log likelihood = -28938.219
Iteration 40: (EM) log likelihood = -28932.52
Iteration 41: (EM) log likelihood = -28926.564
Iteration 42: (EM) log likelihood = -28920.52
Iteration 43: (EM) log likelihood = -28915.46
Iteration 44: (EM) log likelihood = -28909.606
Iteration 45: (EM) log likelihood = -28903.356
Iteration 46: (EM) log likelihood = -28896.95
Iteration 47: (EM) log likelihood = -28891.055
Iteration 48: (EM) log likelihood = -28884.995
Iteration 49: (EM) log likelihood = -28878.84
Iteration 50: (EM) log likelihood = -28872.07
Iteration 51: (EM) log likelihood = -28865.705
Iteration 52: (EM) log likelihood = -28858.896
Iteration 53: (EM) log likelihood = -28852.165
Iteration 54: (EM) log likelihood = -28845.466
Iteration 55: (EM) log likelihood = -28838.654
Iteration 56: (EM) log likelihood = -28832.075
Iteration 57: (EM) log likelihood = -28825.28
Iteration 58: (EM) log likelihood = -28818.66
Iteration 59: (EM) log likelihood = -28811.41
Iteration 60: (EM) log likelihood = -28804.097
Iteration 61: (EM) log likelihood = -28797.203
Iteration 62: (EM) log likelihood = -28789.136
Iteration 63: (EM) log likelihood = -28781.402
Iteration 64: (EM) log likelihood = -28774.671
Iteration 65: (EM) log likelihood = -28767.504
Iteration 66: (EM) log likelihood = -28760.24
Iteration 67: (EM) log likelihood = -28753.459
Iteration 68: (EM) log likelihood = -28746.876
Iteration 69: (EM) log likelihood = -28740.385
Iteration 70: (EM) log likelihood = -28733.787
Iteration 71: (EM) log likelihood = -28727.045
Iteration 72: (EM) log likelihood = -28720.11
Iteration 73: (EM) log likelihood = -28713.781
Iteration 74: (EM) log likelihood = -28707.126
Iteration 75: (EM) log likelihood = -28700.646
Iteration 76: (EM) log likelihood = -28694.535
Iteration 77: (EM) log likelihood = -28688.165
Iteration 78: (EM) log likelihood = -28681.426
Iteration 79: (EM) log likelihood = -28675.023
Iteration 80: (EM) log likelihood = -28668.576
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5250.4793
Iteration 1: (class) log likelihood = -5250.4793
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29140.924
Iteration 1: (outcome) log likelihood = -29140.924
Refining starting values:
Iteration 0: (EM) log likelihood = -34386.247
Iteration 1: (EM) log likelihood = -34366.221
Iteration 2: (EM) log likelihood = -34303.332
Iteration 3: (EM) log likelihood = -34102.046
Iteration 4: (EM) log likelihood = -33552.949
Iteration 5: (EM) log likelihood = -32555.624
Iteration 6: (EM) log likelihood = -31507.181
Iteration 7: (EM) log likelihood = -30754.307
Iteration 8: (EM) log likelihood = -30241.4
Iteration 9: (EM) log likelihood = -29887.706
Iteration 10: (EM) log likelihood = -29639.46
Iteration 11: (EM) log likelihood = -29467.863
Iteration 12: (EM) log likelihood = -29352.965
Iteration 13: (EM) log likelihood = -29276.18
Iteration 14: (EM) log likelihood = -29225.158
Iteration 15: (EM) log likelihood = -29188.767
Iteration 16: (EM) log likelihood = -29158.5
Iteration 17: (EM) log likelihood = -29136.698
Iteration 18: (EM) log likelihood = -29118.191
Iteration 19: (EM) log likelihood = -29101.601
Iteration 20: (EM) log likelihood = -29086.463
Iteration 21: (EM) log likelihood = -29071.774
Iteration 22: (EM) log likelihood = -29057.842
Iteration 23: (EM) log likelihood = -29046.36
Iteration 24: (EM) log likelihood = -29033.68
Iteration 25: (EM) log likelihood = -29022.288
Iteration 26: (EM) log likelihood = -29010.344
Iteration 27: (EM) log likelihood = -28999.345
Iteration 28: (EM) log likelihood = -28988.332
Iteration 29: (EM) log likelihood = -28978.546
Iteration 30: (EM) log likelihood = -28967.805
Iteration 31: (EM) log likelihood = -28957.916
Iteration 32: (EM) log likelihood = -28949.027
Iteration 33: (EM) log likelihood = -28938.389
Iteration 34: (EM) log likelihood = -28927.961
Iteration 35: (EM) log likelihood = -28918.939
Iteration 36: (EM) log likelihood = -28909.276
Iteration 37: (EM) log likelihood = -28900.489
Iteration 38: (EM) log likelihood = -28893.336
Iteration 39: (EM) log likelihood = -28884.436
Iteration 40: (EM) log likelihood = -28876.513
Iteration 41: (EM) log likelihood = -28869.175
Iteration 42: (EM) log likelihood = -28861.771
Iteration 43: (EM) log likelihood = -28854.009
Iteration 44: (EM) log likelihood = -28848.428
Iteration 45: (EM) log likelihood = -28841.844
Iteration 46: (EM) log likelihood = -28834.496
Iteration 47: (EM) log likelihood = -28828.717
Iteration 48: (EM) log likelihood = -28822.86
Iteration 49: (EM) log likelihood = -28816.984
Iteration 50: (EM) log likelihood = -28810.322
Iteration 51: (EM) log likelihood = -28803.872
Iteration 52: (EM) log likelihood = -28798.198
Iteration 53: (EM) log likelihood = -28792.14
Iteration 54: (EM) log likelihood = -28784.301
Iteration 55: (EM) log likelihood = -28777.948
Iteration 56: (EM) log likelihood = -28772.582
Iteration 57: (EM) log likelihood = -28766.897
Iteration 58: (EM) log likelihood = -28760.359
Iteration 59: (EM) log likelihood = -28755.198
Iteration 60: (EM) log likelihood = -28747.342
Iteration 61: (EM) log likelihood = -28741.728
Iteration 62: (EM) log likelihood = -28736.315
Iteration 63: (EM) log likelihood = -28730.075
Iteration 64: (EM) log likelihood = -28725.458
Iteration 65: (EM) log likelihood = -28721.081
Iteration 66: (EM) log likelihood = -28716.637
Iteration 67: (EM) log likelihood = -28712.404
Iteration 68: (EM) log likelihood = -28706.491
Iteration 69: (EM) log likelihood = -28703.634
Iteration 70: (EM) log likelihood = -28699.369
Iteration 71: (EM) log likelihood = -28694.019
Iteration 72: (EM) log likelihood = -28688.07
Iteration 73: (EM) log likelihood = -28674.208
Iteration 74: (EM) log likelihood = -28670.852
Iteration 75: (EM) log likelihood = -28666.845
Iteration 76: (EM) log likelihood = -28662.34
Iteration 77: (EM) log likelihood = -28657.999
Iteration 78: (EM) log likelihood = -28655.518
Iteration 79: (EM) log likelihood = -28650.552
Iteration 80: (EM) log likelihood = -28646.722
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5250.9602
Iteration 1: (class) log likelihood = -5250.9602
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29139.551
Iteration 1: (outcome) log likelihood = -29139.551
Refining starting values:
Iteration 0: (EM) log likelihood = -34383.259
Iteration 1: (EM) log likelihood = -34343.359
Iteration 2: (EM) log likelihood = -34182.448
Iteration 3: (EM) log likelihood = -33613.477
Iteration 4: (EM) log likelihood = -32493.539
Iteration 5: (EM) log likelihood = -31524.388
Iteration 6: (EM) log likelihood = -30942.725
Iteration 7: (EM) log likelihood = -30556.824
Iteration 8: (EM) log likelihood = -30285.251
Iteration 9: (EM) log likelihood = -30083.293
Iteration 10: (EM) log likelihood = -29926.79
Iteration 11: (EM) log likelihood = -29804.044
Iteration 12: (EM) log likelihood = -29709.252
Iteration 13: (EM) log likelihood = -29635.975
Iteration 14: (EM) log likelihood = -29578.377
Iteration 15: (EM) log likelihood = -29532.323
Iteration 16: (EM) log likelihood = -29495.883
Iteration 17: (EM) log likelihood = -29464.622
Iteration 18: (EM) log likelihood = -29435.895
Iteration 19: (EM) log likelihood = -29409.229
Iteration 20: (EM) log likelihood = -29383.301
Iteration 21: (EM) log likelihood = -29357.758
Iteration 22: (EM) log likelihood = -29333.003
Iteration 23: (EM) log likelihood = -29308.762
Iteration 24: (EM) log likelihood = -29284.868
Iteration 25: (EM) log likelihood = -29261.234
Iteration 26: (EM) log likelihood = -29237.257
Iteration 27: (EM) log likelihood = -29212.585
Iteration 28: (EM) log likelihood = -29186.507
Iteration 29: (EM) log likelihood = -29158.396
Iteration 30: (EM) log likelihood = -29128.164
Iteration 31: (EM) log likelihood = -29096.369
Iteration 32: (EM) log likelihood = -29063.67
Iteration 33: (EM) log likelihood = -29031.375
Iteration 34: (EM) log likelihood = -28999.805
Iteration 35: (EM) log likelihood = -28969.705
Iteration 36: (EM) log likelihood = -28941.31
Iteration 37: (EM) log likelihood = -28915.098
Iteration 38: (EM) log likelihood = -28890.676
Iteration 39: (EM) log likelihood = -28868.102
Iteration 40: (EM) log likelihood = -28847.173
Iteration 41: (EM) log likelihood = -28826.309
Iteration 42: (EM) log likelihood = -28809.041
Iteration 43: (EM) log likelihood = -28793.041
Iteration 44: (EM) log likelihood = -28778.2
Iteration 45: (EM) log likelihood = -28764.284
Iteration 46: (EM) log likelihood = -28751.719
Iteration 47: (EM) log likelihood = -28739.414
Iteration 48: (EM) log likelihood = -28729.122
Iteration 49: (EM) log likelihood = -28719.497
Iteration 50: (EM) log likelihood = -28710.551
Iteration 51: (EM) log likelihood = -28701.172
Iteration 52: (EM) log likelihood = -28694.801
Iteration 53: (EM) log likelihood = -28687.524
Iteration 54: (EM) log likelihood = -28680.732
Iteration 55: (EM) log likelihood = -28674.656
Iteration 56: (EM) log likelihood = -28668.558
Iteration 57: (EM) log likelihood = -28663.063
Iteration 58: (EM) log likelihood = -28657.964
Iteration 59: (EM) log likelihood = -28653.049
Iteration 60: (EM) log likelihood = -28648.478
Iteration 61: (EM) log likelihood = -28643.882
Iteration 62: (EM) log likelihood = -28639.34
Iteration 63: (EM) log likelihood = -28635.087
Iteration 64: (EM) log likelihood = -28630.918
Iteration 65: (EM) log likelihood = -28626.92
Iteration 66: (EM) log likelihood = -28623.372
Iteration 67: (EM) log likelihood = -28619.571
Iteration 68: (EM) log likelihood = -28615.572
Iteration 69: (EM) log likelihood = -28611.864
Iteration 70: (EM) log likelihood = -28608.531
Iteration 71: (EM) log likelihood = -28604.834
Iteration 72: (EM) log likelihood = -28601.365
Iteration 73: (EM) log likelihood = -28597.982
Iteration 74: (EM) log likelihood = -28594.657
Iteration 75: (EM) log likelihood = -28591.341
Iteration 76: (EM) log likelihood = -28588.007
Iteration 77: (EM) log likelihood = -28585.026
Iteration 78: (EM) log likelihood = -28582.132
Iteration 79: (EM) log likelihood = -28579.144
Iteration 80: (EM) log likelihood = -28576.346
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5252.1622
Iteration 1: (class) log likelihood = -5252.1622
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29429.68
Iteration 1: (outcome) log likelihood = -29219.359
Iteration 2: (outcome) log likelihood = -29153.787
Iteration 3: (outcome) log likelihood = -29142.807
Iteration 4: (outcome) log likelihood = -29140.495
Iteration 5: (outcome) log likelihood = -29140.016
Iteration 6: (outcome) log likelihood = -29139.909
Iteration 7: (outcome) log likelihood = -29139.882
Iteration 8: (outcome) log likelihood = -29139.877
Iteration 9: (outcome) log likelihood = -29139.876
Iteration 10: (outcome) log likelihood = -29139.875
Iteration 11: (outcome) log likelihood = -29139.875
Iteration 12: (outcome) log likelihood = -29139.875
Refining starting values:
Iteration 0: (EM) log likelihood = -34383.818
Iteration 1: (EM) log likelihood = -34343.465
Iteration 2: (EM) log likelihood = -34190.258
Iteration 3: (EM) log likelihood = -33698.852
Iteration 4: (EM) log likelihood = -32766.206
Iteration 5: (EM) log likelihood = -31827.005
Iteration 6: (EM) log likelihood = -31156.934
Iteration 7: (EM) log likelihood = -30638.67
Iteration 8: (EM) log likelihood = -30200.011
Iteration 9: (EM) log likelihood = -29863.946
Iteration 10: (EM) log likelihood = -29629.864
Iteration 11: (EM) log likelihood = -29474.866
Iteration 12: (EM) log likelihood = -29371.803
Iteration 13: (EM) log likelihood = -29300.541
Iteration 14: (EM) log likelihood = -29248.534
Iteration 15: (EM) log likelihood = -29206.734
Iteration 16: (EM) log likelihood = -29172.802
Iteration 17: (EM) log likelihood = -29143.151
Iteration 18: (EM) log likelihood = -29115.353
Iteration 19: (EM) log likelihood = -29091.96
Iteration 20: (EM) log likelihood = -29071.46
Iteration 21: (EM) log likelihood = -29053.157
Iteration 22: (EM) log likelihood = -29037.12
Iteration 23: (EM) log likelihood = -29024.681
Iteration 24: (EM) log likelihood = -29013.167
Iteration 25: (EM) log likelihood = -29004.139
Iteration 26: (EM) log likelihood = -28995.586
Iteration 27: (EM) log likelihood = -28988.464
Iteration 28: (EM) log likelihood = -28980.977
Iteration 29: (EM) log likelihood = -28974.207
Iteration 30: (EM) log likelihood = -28968.4
Iteration 31: (EM) log likelihood = -28962.011
Iteration 32: (EM) log likelihood = -28956.106
Iteration 33: (EM) log likelihood = -28950.396
Iteration 34: (EM) log likelihood = -28944.535
Iteration 35: (EM) log likelihood = -28938.647
Iteration 36: (EM) log likelihood = -28932.684
Iteration 37: (EM) log likelihood = -28926.654
Iteration 38: (EM) log likelihood = -28920.563
Iteration 39: (EM) log likelihood = -28915.064
Iteration 40: (EM) log likelihood = -28908.777
Iteration 41: (EM) log likelihood = -28903.187
Iteration 42: (EM) log likelihood = -28896.696
Iteration 43: (EM) log likelihood = -28890.312
Iteration 44: (EM) log likelihood = -28883.781
Iteration 45: (EM) log likelihood = -28877.755
Iteration 46: (EM) log likelihood = -28871.901
Iteration 47: (EM) log likelihood = -28865.822
Iteration 48: (EM) log likelihood = -28859.65
Iteration 49: (EM) log likelihood = -28853.314
Iteration 50: (EM) log likelihood = -28846.83
Iteration 51: (EM) log likelihood = -28840.561
Iteration 52: (EM) log likelihood = -28833.977
Iteration 53: (EM) log likelihood = -28827.837
Iteration 54: (EM) log likelihood = -28821.483
Iteration 55: (EM) log likelihood = -28815.335
Iteration 56: (EM) log likelihood = -28808.904
Iteration 57: (EM) log likelihood = -28802.712
Iteration 58: (EM) log likelihood = -28796.138
Iteration 59: (EM) log likelihood = -28790.114
Iteration 60: (EM) log likelihood = -28784.109
Iteration 61: (EM) log likelihood = -28777.991
Iteration 62: (EM) log likelihood = -28772.114
Iteration 63: (EM) log likelihood = -28765.835
Iteration 64: (EM) log likelihood = -28760
Iteration 65: (EM) log likelihood = -28754.508
Iteration 66: (EM) log likelihood = -28748.66
Iteration 67: (EM) log likelihood = -28742.36
Iteration 68: (EM) log likelihood = -28736.832
Iteration 69: (EM) log likelihood = -28731.345
Iteration 70: (EM) log likelihood = -28725.91
Iteration 71: (EM) log likelihood = -28720.112
Iteration 72: (EM) log likelihood = -28714.695
Iteration 73: (EM) log likelihood = -28709.255
Iteration 74: (EM) log likelihood = -28703.294
Iteration 75: (EM) log likelihood = -28698.449
Iteration 76: (EM) log likelihood = -28693.302
Iteration 77: (EM) log likelihood = -28688.027
Iteration 78: (EM) log likelihood = -28682.972
Iteration 79: (EM) log likelihood = -28678.12
Iteration 80: (EM) log likelihood = -28674.393
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -5251.9553
Iteration 1: (class) log likelihood = -5251.9553
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29713.027
Iteration 1: (outcome) log likelihood = -29238.602
Iteration 2: (outcome) log likelihood = -29153.662
Iteration 3: (outcome) log likelihood = -29141.263
Iteration 4: (outcome) log likelihood = -29138.398
Iteration 5: (outcome) log likelihood = -29137.78
Iteration 6: (outcome) log likelihood = -29137.653
Iteration 7: (outcome) log likelihood = -29137.624
Iteration 8: (outcome) log likelihood = -29137.617
Iteration 9: (outcome) log likelihood = -29137.616
Iteration 10: (outcome) log likelihood = -29137.615
Iteration 11: (outcome) log likelihood = -29137.615
Iteration 12: (outcome) log likelihood = -29137.615
Refining starting values:
Iteration 0: (EM) log likelihood = -34380.725
Iteration 1: (EM) log likelihood = -34343.71
Iteration 2: (EM) log likelihood = -34221.835
Iteration 3: (EM) log likelihood = -33870.548
Iteration 4: (EM) log likelihood = -33151.902
Iteration 5: (EM) log likelihood = -32237.989
Iteration 6: (EM) log likelihood = -31437.743
Iteration 7: (EM) log likelihood = -30860.114
Iteration 8: (EM) log likelihood = -30448.586
Iteration 9: (EM) log likelihood = -30102.138
Iteration 10: (EM) log likelihood = -29792.887
Iteration 11: (EM) log likelihood = -29536.534
Iteration 12: (EM) log likelihood = -29333.657
Iteration 13: (EM) log likelihood = -29177.105
Iteration 14: (EM) log likelihood = -29057.132
Iteration 15: (EM) log likelihood = -28964.029
Iteration 16: (EM) log likelihood = -28891.126
Iteration 17: (EM) log likelihood = -28831.562
Iteration 18: (EM) log likelihood = -28782.615
Iteration 19: (EM) log likelihood = -28743.303
Iteration 20: (EM) log likelihood = -28710.471
Iteration 21: (EM) log likelihood = -28682.261
Iteration 22: (EM) log likelihood = -28658.867
Iteration 23: (EM) log likelihood = -28638.691
Iteration 24: (EM) log likelihood = -28621.364
Iteration 25: (EM) log likelihood = -28605.972
Iteration 26: (EM) log likelihood = -28592.253
Iteration 27: (EM) log likelihood = -28579.551
Iteration 28: (EM) log likelihood = -28567.358
Iteration 29: (EM) log likelihood = -28555.854
Iteration 30: (EM) log likelihood = -28544.928
Iteration 31: (EM) log likelihood = -28534.287
Iteration 32: (EM) log likelihood = -28524.21
Iteration 33: (EM) log likelihood = -28514.171
Iteration 34: (EM) log likelihood = -28504.293
Iteration 35: (EM) log likelihood = -28494.637
Iteration 36: (EM) log likelihood = -28485.31
Iteration 37: (EM) log likelihood = -28475.572
Iteration 38: (EM) log likelihood = -28466.137
Iteration 39: (EM) log likelihood = -28456.55
Iteration 40: (EM) log likelihood = -28447.153
Iteration 41: (EM) log likelihood = -28437.46
Iteration 42: (EM) log likelihood = -28428.418
Iteration 43: (EM) log likelihood = -28419.423
Iteration 44: (EM) log likelihood = -28410.433
Iteration 45: (EM) log likelihood = -28402.061
Iteration 46: (EM) log likelihood = -28393.852
Iteration 47: (EM) log likelihood = -28386.254
Iteration 48: (EM) log likelihood = -28378.884
Iteration 49: (EM) log likelihood = -28371.787
Iteration 50: (EM) log likelihood = -28364.693
Iteration 51: (EM) log likelihood = -28358.015
Iteration 52: (EM) log likelihood = -28351.348
Iteration 53: (EM) log likelihood = -28345.002
Iteration 54: (EM) log likelihood = -28339.001
Iteration 55: (EM) log likelihood = -28332.746
Iteration 56: (EM) log likelihood = -28326.942
Iteration 57: (EM) log likelihood = -28321.28
Iteration 58: (EM) log likelihood = -28315.609
Iteration 59: (EM) log likelihood = -28310.209
Iteration 60: (EM) log likelihood = -28305.258
Iteration 61: (EM) log likelihood = -28300.308
Iteration 62: (EM) log likelihood = -28295.175
Iteration 63: (EM) log likelihood = -28290.278
Iteration 64: (EM) log likelihood = -28285.503
Iteration 65: (EM) log likelihood = -28280.34
Iteration 66: (EM) log likelihood = -28275.76
Iteration 67: (EM) log likelihood = -28271.157
Iteration 68: (EM) log likelihood = -28266.938
Iteration 69: (EM) log likelihood = -28262.573
Iteration 70: (EM) log likelihood = -28258.294
Iteration 71: (EM) log likelihood = -28254.133
Iteration 72: (EM) log likelihood = -28250.025
Iteration 73: (EM) log likelihood = -28245.508
Iteration 74: (EM) log likelihood = -28241.338
Iteration 75: (EM) log likelihood = -28237.827
Iteration 76: (EM) log likelihood = -28234.117
Iteration 77: (EM) log likelihood = -28230.629
Iteration 78: (EM) log likelihood = -28227.182
Iteration 79: (EM) log likelihood = -28223.859
Iteration 80: (EM) log likelihood = -28220.514
Note: EM algorithm reached maximum iterations.
Fitting full model:
Iteration 0: log likelihood = -27301.604 (not concave)
Iteration 1: log likelihood = -27301.6 (not concave)
Iteration 2: log likelihood = -27301.574 (not concave)
Iteration 3: log likelihood = -27301.568 (not concave)
Iteration 4: log likelihood = -27301.542 (not concave)
Iteration 5: log likelihood = -27301.533 (not concave)
Iteration 6: log likelihood = -27301.529 (not concave)
Iteration 7: log likelihood = -27301.525 (not concave)
Iteration 8: log likelihood = -27301.522 (not concave)
Iteration 9: log likelihood = -27301.519 (not concave)
Iteration 10: log likelihood = -27301.516 (not concave)
Iteration 11: log likelihood = -27301.513 (not concave)
Iteration 12: log likelihood = -27301.51 (not concave)
Iteration 13: log likelihood = -27301.507 (not concave)
Generalized structural equation model Number of obs = 3,789
Log likelihood = -27301.507
------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
1.C | (base outcome)
-------------+----------------------------------------------------------------
2.C |
_cons | 1.204123 .1611814 7.47 0.000 .888213 1.520032
-------------+----------------------------------------------------------------
3.C |
_cons | .0898068 .1311015 0.69 0.493 -.1671475 .3467611
-------------+----------------------------------------------------------------
4.C |
_cons | -1.213221 .1539323 -7.88 0.000 -1.514923 -.9115191
------------------------------------------------------------------------------
Class : 1
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | 1.485719 .1535047 9.68 0.000 1.184855 1.786583
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -138.1588 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | -15.20781 10155.52 -0.00 0.999 -19919.65 19889.24
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 4.200974 1.616553 2.60 0.009 1.032589 7.369359
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 5.504237 1.615861 3.41 0.001 2.337208 8.671267
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 5.980236 1.618912 3.69 0.000 2.807226 9.153246
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 4.101505 1.626121 2.52 0.012 .9143653 7.288644
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 2.015158 .1473702 13.67 0.000 1.726318 2.303998
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -91.88788 . . . . .
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 9.023223 5.131303 1.76 0.079 -1.033945 19.08039
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 6.900574 5.13486 1.34 0.179 -3.163567 16.96471
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | .0585229 .6625124 0.09 0.930 -1.239977 1.357023
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 3.592852 .4231333 8.49 0.000 2.763526 4.422178
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.909523 .4213729 6.90 0.000 2.083648 3.735399
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.950128 .4468002 4.36 0.000 1.074416 2.82584
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | .2699557 .5597413 0.48 0.630 -.827117 1.367028
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 10.76151 10.61615 1.01 0.311 -10.04575 31.56878
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 8.938077 10.61746 0.84 0.400 -11.87176 29.74791
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 8.606654 10.61855 0.81 0.418 -12.20531 29.41862
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 8.413323 10.61811 0.79 0.428 -12.39779 29.22443
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 8.641594 10.61812 0.81 0.416 -12.16953 29.45272
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 7.149973 2.102514 3.40 0.001 3.029121 11.27083
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 5.211319 2.2139 2.35 0.019 .8721537 9.550484
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 6.386388 2.111712 3.02 0.002 2.247509 10.52527
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | -36.11574 2.08e+08 -0.00 1.000 -4.08e+08 4.08e+08
--------------------------------------------------------------------------------------------
Class : 2
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | .4472952 .0534561 8.37 0.000 .3425233 .5520671
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -152.97 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 1.48284 .2826059 5.25 0.000 .9289425 2.036737
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 3.68585 .2592694 14.22 0.000 3.177691 4.194008
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 3.838329 .2603909 14.74 0.000 3.327973 4.348686
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 3.597812 .2647031 13.59 0.000 3.079003 4.116621
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 2.002796 .2782593 7.20 0.000 1.457418 2.548174
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.371171 .0621205 22.07 0.000 1.249417 1.492925
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -1.285099 .1073771 -11.97 0.000 -1.495554 -1.074644
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 4.590766 .2393848 19.18 0.000 4.121581 5.059952
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 3.107919 .2447138 12.70 0.000 2.628289 3.587549
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | -2.18837 .8895729 -2.46 0.014 -3.931901 -.4448394
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.259855 .1519569 14.87 0.000 1.962025 2.557685
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.689409 .1431621 18.79 0.000 2.408816 2.970002
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.858876 .1494915 12.43 0.000 1.565878 2.151874
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.096394 .1584373 6.92 0.000 .785863 1.406926
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 4.678071 .3792775 12.33 0.000 3.934701 5.421441
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 4.023512 .3771173 10.67 0.000 3.284375 4.762648
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 3.989366 .3771906 10.58 0.000 3.250086 4.728646
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 3.614046 .3787753 9.54 0.000 2.87166 4.356432
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 3.927382 .37736 10.41 0.000 3.18777 4.666994
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 1.057952 .6836797 1.55 0.122 -.2820359 2.397939
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 5.18844 .3580919 14.49 0.000 4.486593 5.890287
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 4.46849 .3625914 12.32 0.000 3.757824 5.179156
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 1.492167 .4161125 3.59 0.000 .6766018 2.307733
--------------------------------------------------------------------------------------------
Class : 3
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -52.88834 . . . . .
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | 1.360023 .1063198 12.79 0.000 1.15164 1.568406
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 5.339424 .9991676 5.34 0.000 3.381092 7.297757
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 5.265561 .9994696 5.27 0.000 3.306637 7.224486
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 5.183073 .9997816 5.18 0.000 3.223537 7.142609
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 4.651591 1.002069 4.64 0.000 2.68757 6.615611
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 2.68445 1.031785 2.60 0.009 .6621882 4.706712
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.694466 .1069134 15.85 0.000 1.48492 1.904013
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -1.189398 .2031185 -5.86 0.000 -1.587503 -.7912929
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 25.89471 16144.62 0.00 0.999 -31616.97 31668.76
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 21.34385 16144.62 0.00 0.999 -31621.52 31664.21
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.192345 .4372499 9.59 0.000 3.335351 5.049339
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.78056 .4433178 6.27 0.000 1.911673 3.649446
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | -135.8804 . . . . .
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | -64.68832 . . . . .
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | -185.6409 . . . . .
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 4.522751 .5811869 7.78 0.000 3.383646 5.661857
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 3.701579 .5851616 6.33 0.000 2.554683 4.848475
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 3.614214 .5859615 6.17 0.000 2.46575 4.762677
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 3.074079 .5917941 5.19 0.000 1.914183 4.233974
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 3.897588 .5838976 6.68 0.000 2.75317 5.042007
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 3.96119 .9953921 3.98 0.000 2.010257 5.912123
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 6.156984 .9859808 6.24 0.000 4.224497 8.08947
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 5.06897 .988189 5.13 0.000 3.132155 7.005785
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 1.136183 1.138999 1.00 0.319 -1.096215 3.36858
--------------------------------------------------------------------------------------------
Class : 4
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -2.956169 1.680452 -1.76 0.079 -6.249795 .3374572
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | 1.341551 .2668251 5.03 0.000 .8185829 1.864518
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 5.704391 3.128473 1.82 0.068 -.4273042 11.83609
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 6.563286 3.125996 2.10 0.036 .4364473 12.69013
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 6.149129 3.127065 1.97 0.049 .0201933 12.27806
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 5.964773 3.127762 1.91 0.057 -.1655273 12.09507
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 3.965832 3.156214 1.26 0.209 -2.220234 10.1519
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.896387 .2255122 8.41 0.000 1.454391 2.338383
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -1.377545 .4674649 -2.95 0.003 -2.293759 -.4613302
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | -10.07144 3.88e+07 -0.00 1.000 -7.60e+07 7.60e+07
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 27.85859 83432.78 0.00 1.000 -163497.4 163553.1
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | 3.347431 .5251121 6.37 0.000 2.318231 4.376632
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.244596 .541753 4.14 0.000 1.182779 3.306412
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | -.043158 1.197319 -0.04 0.971 -2.389859 2.303543
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | -161.4355 . . . . .
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | -123.2562 . . . . .
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 4.742991 1.007728 4.71 0.000 2.767881 6.718101
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 2.669299 1.042325 2.56 0.010 .6263791 4.712219
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 1.17207 1.218756 0.96 0.336 -1.216648 3.560789
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 4.036429 1.011327 3.99 0.000 2.054264 6.018594
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 1.993552 1.077376 1.85 0.064 -.118066 4.105171
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | -30.99407 5698145 -0.00 1.000 -1.12e+07 1.12e+07
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 3.000512 .4642666 6.46 0.000 2.090566 3.910458
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 1.868842 .4904468 3.81 0.000 .9075835 2.8301
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 2.491954 .4754398 5.24 0.000 1.560109 3.423798
--------------------------------------------------------------------------------------------
----------------------------------------------------------------------------
Fit statistic | Value Description
---------------------+------------------------------------------------------
Likelihood ratio |
chi2_ms(29065) | 4674.606 model vs. saturated
p > chi2 | 1.000
---------------------+------------------------------------------------------
Information criteria |
AIC | 54791.015 Akaike's information criterion
BIC | 55377.561 Bayesian information criterion
----------------------------------------------------------------------------
Entropy:
.84753951
(results lca_prueba_c3 are active now)
(results lca_prueba_c4 are active now)
LMR LT test statistic:
516.2592
P value Lo-Mendel:
0.00000000000000000
__00000B = 516.2592
__00000A = 537.14384
__00000D = 8
__00000C = 11
__000009 = 4
__000005 = 94
__000003 = -27301.507
__000008 = 3
__000004 = 69
__000002 = -27570.079
__000001 = 3789
scalars:
r(lmrt_p) = 3.27612656954e-93
r(lmrt) = 516.2592032707946
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6093.8137
Iteration 1: (class) log likelihood = -6093.8137
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29422.762
Iteration 1: (outcome) log likelihood = -29156.282
Iteration 2: (outcome) log likelihood = -29133.7
Iteration 3: (outcome) log likelihood = -29126.653
Iteration 4: (outcome) log likelihood = -29125.419
Iteration 5: (outcome) log likelihood = -29125.118
Iteration 6: (outcome) log likelihood = -29125.051
Iteration 7: (outcome) log likelihood = -29125.035
Iteration 8: (outcome) log likelihood = -29125.032
Iteration 9: (outcome) log likelihood = -29125.031
Iteration 10: (outcome) log likelihood = -29125.031
Iteration 11: (outcome) log likelihood = -29125.031
Refining starting values:
Iteration 0: (EM) log likelihood = -35212.938
Iteration 1: (EM) log likelihood = -35182.718
Iteration 2: (EM) log likelihood = -35088.554
Iteration 3: (EM) log likelihood = -34821.639
Iteration 4: (EM) log likelihood = -34237.43
Iteration 5: (EM) log likelihood = -33387.411
Iteration 6: (EM) log likelihood = -32533.494
Iteration 7: (EM) log likelihood = -31801.174
Iteration 8: (EM) log likelihood = -31174.806
Iteration 9: (EM) log likelihood = -30643.556
Iteration 10: (EM) log likelihood = -30207.064
Iteration 11: (EM) log likelihood = -29840.505
Iteration 12: (EM) log likelihood = -29548.104
Iteration 13: (EM) log likelihood = -29345.576
Iteration 14: (EM) log likelihood = -29213.121
Iteration 15: (EM) log likelihood = -29123.552
Iteration 16: (EM) log likelihood = -29056.374
Iteration 17: (EM) log likelihood = -29003.307
Iteration 18: (EM) log likelihood = -28958.868
Iteration 19: (EM) log likelihood = -28922.107
Iteration 20: (EM) log likelihood = -28889.667
Iteration 21: (EM) log likelihood = -28861.9
Iteration 22: (EM) log likelihood = -28836.035
Iteration 23: (EM) log likelihood = -28813.649
Iteration 24: (EM) log likelihood = -28792.907
Iteration 25: (EM) log likelihood = -28774.009
Iteration 26: (EM) log likelihood = -28756.434
Iteration 27: (EM) log likelihood = -28738.928
Iteration 28: (EM) log likelihood = -28720.319
Iteration 29: (EM) log likelihood = -28701.779
Iteration 30: (EM) log likelihood = -28681.791
Iteration 31: (EM) log likelihood = -28663.235
Iteration 32: (EM) log likelihood = -28647.945
Iteration 33: (EM) log likelihood = -28632.872
Iteration 34: (EM) log likelihood = -28617.643
Iteration 35: (EM) log likelihood = -28598.042
Iteration 36: (EM) log likelihood = -28587.757
Iteration 37: (EM) log likelihood = -28576.564
Iteration 38: (EM) log likelihood = -28566.654
Iteration 39: (EM) log likelihood = -28556.661
Iteration 40: (EM) log likelihood = -28547.293
Iteration 41: (EM) log likelihood = -28538.541
Iteration 42: (EM) log likelihood = -28530.816
Iteration 43: (EM) log likelihood = -28524.365
Iteration 44: (EM) log likelihood = -28518.522
Iteration 45: (EM) log likelihood = -28513.329
Iteration 46: (EM) log likelihood = -28508.713
Iteration 47: (EM) log likelihood = -28504.191
Iteration 48: (EM) log likelihood = -28499.969
Iteration 49: (EM) log likelihood = -28496.217
Iteration 50: (EM) log likelihood = -28492.506
Iteration 51: (EM) log likelihood = -28489.042
Iteration 52: (EM) log likelihood = -28485.832
Iteration 53: (EM) log likelihood = -28482.753
Iteration 54: (EM) log likelihood = -28479.969
Iteration 55: (EM) log likelihood = -28477.716
Iteration 56: (EM) log likelihood = -28474.746
Iteration 57: (EM) log likelihood = -28472.023
Iteration 58: (EM) log likelihood = -28468.836
Iteration 59: (EM) log likelihood = -28466.172
Iteration 60: (EM) log likelihood = -28462.268
Iteration 61: (EM) log likelihood = -28458.172
Iteration 62: (EM) log likelihood = -28453.999
Iteration 63: (EM) log likelihood = -28449.608
Iteration 64: (EM) log likelihood = -28445.924
Iteration 65: (EM) log likelihood = -28441.983
Iteration 66: (EM) log likelihood = -28438.317
Iteration 67: (EM) log likelihood = -28435.121
Iteration 68: (EM) log likelihood = -28432.147
Iteration 69: (EM) log likelihood = -28429.544
Iteration 70: (EM) log likelihood = -28427.008
Iteration 71: (EM) log likelihood = -28425.738
Iteration 72: (EM) log likelihood = -28423.587
Iteration 73: (EM) log likelihood = -28421.602
Iteration 74: (EM) log likelihood = -28419.747
Iteration 75: (EM) log likelihood = -28417.959
Iteration 76: (EM) log likelihood = -28416.261
Iteration 77: (EM) log likelihood = -28414.563
Iteration 78: (EM) log likelihood = -28413.185
Iteration 79: (EM) log likelihood = -28412.078
Iteration 80: (EM) log likelihood = -28410.766
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.637
Iteration 1: (class) log likelihood = -6096.637
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29125.318
Iteration 1: (outcome) log likelihood = -29125.318
Refining starting values:
Iteration 0: (EM) log likelihood = -35192.484
Iteration 1: (EM) log likelihood = -35078.658
Iteration 2: (EM) log likelihood = -34696.948
Iteration 3: (EM) log likelihood = -33790.254
Iteration 4: (EM) log likelihood = -32690.078
Iteration 5: (EM) log likelihood = -31934.745
Iteration 6: (EM) log likelihood = -31446.435
Iteration 7: (EM) log likelihood = -31079.106
Iteration 8: (EM) log likelihood = -30772.183
Iteration 9: (EM) log likelihood = -30512.441
Iteration 10: (EM) log likelihood = -30303.136
Iteration 11: (EM) log likelihood = -30137.748
Iteration 12: (EM) log likelihood = -30011.173
Iteration 13: (EM) log likelihood = -29915.949
Iteration 14: (EM) log likelihood = -29840.037
Iteration 15: (EM) log likelihood = -29777.412
Iteration 16: (EM) log likelihood = -29722.85
Iteration 17: (EM) log likelihood = -29674.725
Iteration 18: (EM) log likelihood = -29629.575
Iteration 19: (EM) log likelihood = -29585.028
Iteration 20: (EM) log likelihood = -29541.492
Iteration 21: (EM) log likelihood = -29501.857
Iteration 22: (EM) log likelihood = -29461.551
Iteration 23: (EM) log likelihood = -29424.027
Iteration 24: (EM) log likelihood = -29388.771
Iteration 25: (EM) log likelihood = -29355.461
Iteration 26: (EM) log likelihood = -29324.287
Iteration 27: (EM) log likelihood = -29294.884
Iteration 28: (EM) log likelihood = -29266.762
Iteration 29: (EM) log likelihood = -29240.689
Iteration 30: (EM) log likelihood = -29217.766
Iteration 31: (EM) log likelihood = -29192.927
Iteration 32: (EM) log likelihood = -29168.336
Iteration 33: (EM) log likelihood = -29146.219
Iteration 34: (EM) log likelihood = -29123.332
Iteration 35: (EM) log likelihood = -29102.721
Iteration 36: (EM) log likelihood = -29083.855
Iteration 37: (EM) log likelihood = -29063.107
Iteration 38: (EM) log likelihood = -29040.422
Iteration 39: (EM) log likelihood = -29019.592
Iteration 40: (EM) log likelihood = -29000.113
Iteration 41: (EM) log likelihood = -28981.735
Iteration 42: (EM) log likelihood = -28961.257
Iteration 43: (EM) log likelihood = -28941.151
Iteration 44: (EM) log likelihood = -28922.087
Iteration 45: (EM) log likelihood = -28903.174
Iteration 46: (EM) log likelihood = -28881.786
Iteration 47: (EM) log likelihood = -28859.157
Iteration 48: (EM) log likelihood = -28840.535
Iteration 49: (EM) log likelihood = -28820.963
Iteration 50: (EM) log likelihood = -28801.475
Iteration 51: (EM) log likelihood = -28782.763
Iteration 52: (EM) log likelihood = -28763.274
Iteration 53: (EM) log likelihood = -28742.982
Iteration 54: (EM) log likelihood = -28723.875
Iteration 55: (EM) log likelihood = -28704.768
Iteration 56: (EM) log likelihood = -28686.202
Iteration 57: (EM) log likelihood = -28669.231
Iteration 58: (EM) log likelihood = -28652.287
Iteration 59: (EM) log likelihood = -28634.584
Iteration 60: (EM) log likelihood = -28617.819
Iteration 61: (EM) log likelihood = -28602.7
Iteration 62: (EM) log likelihood = -28587.596
Iteration 63: (EM) log likelihood = -28573.228
Iteration 64: (EM) log likelihood = -28559.298
Iteration 65: (EM) log likelihood = -28545.716
Iteration 66: (EM) log likelihood = -28531.4
Iteration 67: (EM) log likelihood = -28517.837
Iteration 68: (EM) log likelihood = -28504.092
Iteration 69: (EM) log likelihood = -28491.477
Iteration 70: (EM) log likelihood = -28479.128
Iteration 71: (EM) log likelihood = -28467.126
Iteration 72: (EM) log likelihood = -28455.583
Iteration 73: (EM) log likelihood = -28444.612
Iteration 74: (EM) log likelihood = -28435.57
Iteration 75: (EM) log likelihood = -28425.742
Iteration 76: (EM) log likelihood = -28415.805
Iteration 77: (EM) log likelihood = -28406.994
Iteration 78: (EM) log likelihood = -28398.273
Iteration 79: (EM) log likelihood = -28389.876
Iteration 80: (EM) log likelihood = -28381.982
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6093.0287
Iteration 1: (class) log likelihood = -6093.0287
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29135.603
Iteration 1: (outcome) log likelihood = -29135.603
Refining starting values:
Iteration 0: (EM) log likelihood = -35213.702
Iteration 1: (EM) log likelihood = -35145.492
Iteration 2: (EM) log likelihood = -34887.799
Iteration 3: (EM) log likelihood = -34184.055
Iteration 4: (EM) log likelihood = -33189.779
Iteration 5: (EM) log likelihood = -32418.24
Iteration 6: (EM) log likelihood = -31905.004
Iteration 7: (EM) log likelihood = -31516.323
Iteration 8: (EM) log likelihood = -31170.229
Iteration 9: (EM) log likelihood = -30847.088
Iteration 10: (EM) log likelihood = -30563.583
Iteration 11: (EM) log likelihood = -30318.606
Iteration 12: (EM) log likelihood = -30103.657
Iteration 13: (EM) log likelihood = -29919.373
Iteration 14: (EM) log likelihood = -29770.813
Iteration 15: (EM) log likelihood = -29656.437
Iteration 16: (EM) log likelihood = -29564.437
Iteration 17: (EM) log likelihood = -29491.061
Iteration 18: (EM) log likelihood = -29429.671
Iteration 19: (EM) log likelihood = -29378.089
Iteration 20: (EM) log likelihood = -29334.004
Iteration 21: (EM) log likelihood = -29297.363
Iteration 22: (EM) log likelihood = -29266.232
Iteration 23: (EM) log likelihood = -29239.173
Iteration 24: (EM) log likelihood = -29215.465
Iteration 25: (EM) log likelihood = -29193.82
Iteration 26: (EM) log likelihood = -29173.333
Iteration 27: (EM) log likelihood = -29155.273
Iteration 28: (EM) log likelihood = -29136.789
Iteration 29: (EM) log likelihood = -29119.256
Iteration 30: (EM) log likelihood = -29102.242
Iteration 31: (EM) log likelihood = -29085.548
Iteration 32: (EM) log likelihood = -29068.778
Iteration 33: (EM) log likelihood = -29052.517
Iteration 34: (EM) log likelihood = -29036.857
Iteration 35: (EM) log likelihood = -29022.108
Iteration 36: (EM) log likelihood = -29008.255
Iteration 37: (EM) log likelihood = -28995.623
Iteration 38: (EM) log likelihood = -28985.254
Iteration 39: (EM) log likelihood = -28975.476
Iteration 40: (EM) log likelihood = -28965.861
Iteration 41: (EM) log likelihood = -28958.352
Iteration 42: (EM) log likelihood = -28951.387
Iteration 43: (EM) log likelihood = -28945.393
Iteration 44: (EM) log likelihood = -28939.486
Iteration 45: (EM) log likelihood = -28934.287
Iteration 46: (EM) log likelihood = -28928.965
Iteration 47: (EM) log likelihood = -28924.007
Iteration 48: (EM) log likelihood = -28918.256
Iteration 49: (EM) log likelihood = -28913.587
Iteration 50: (EM) log likelihood = -28908.972
Iteration 51: (EM) log likelihood = -28903.563
Iteration 52: (EM) log likelihood = -28899.449
Iteration 53: (EM) log likelihood = -28895.273
Iteration 54: (EM) log likelihood = -28891.204
Iteration 55: (EM) log likelihood = -28885.989
Iteration 56: (EM) log likelihood = -28881.813
Iteration 57: (EM) log likelihood = -28878.192
Iteration 58: (EM) log likelihood = -28874.952
Iteration 59: (EM) log likelihood = -28871.213
Iteration 60: (EM) log likelihood = -28866.643
Iteration 61: (EM) log likelihood = -28860.697
Iteration 62: (EM) log likelihood = -28858.029
Iteration 63: (EM) log likelihood = -28852.519
Iteration 64: (EM) log likelihood = -28849.172
Iteration 65: (EM) log likelihood = -28846.727
Iteration 66: (EM) log likelihood = -28844.568
Iteration 67: (EM) log likelihood = -28840.691
Iteration 68: (EM) log likelihood = -28837.473
Iteration 69: (EM) log likelihood = -28832.586
Iteration 70: (EM) log likelihood = -28830.03
Iteration 71: (EM) log likelihood = -28827.421
Iteration 72: (EM) log likelihood = -28827.31
Iteration 73: (EM) log likelihood = -28823.641
Iteration 74: (EM) log likelihood = -28820.372
Iteration 75: (EM) log likelihood = -28817.479
Iteration 76: (EM) log likelihood = -28814.807
Iteration 77: (EM) log likelihood = -28812.743
Iteration 78: (EM) log likelihood = -28810.399
Iteration 79: (EM) log likelihood = -28808.503
Iteration 80: (EM) log likelihood = -28806.246
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.3148
Iteration 1: (class) log likelihood = -6096.3148
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29629.369
Iteration 1: (outcome) log likelihood = -29229.181
Iteration 2: (outcome) log likelihood = -29146.726
Iteration 3: (outcome) log likelihood = -29128.356
Iteration 4: (outcome) log likelihood = -29125.064
Iteration 5: (outcome) log likelihood = -29124.339
Iteration 6: (outcome) log likelihood = -29124.161
Iteration 7: (outcome) log likelihood = -29124.124
Iteration 8: (outcome) log likelihood = -29124.116
Iteration 9: (outcome) log likelihood = -29124.115
Iteration 10: (outcome) log likelihood = -29124.114
Iteration 11: (outcome) log likelihood = -29124.114
Iteration 12: (outcome) log likelihood = -29124.114
Refining starting values:
Iteration 0: (EM) log likelihood = -35200.762
Iteration 1: (EM) log likelihood = -35125.89
Iteration 2: (EM) log likelihood = -34903.211
Iteration 3: (EM) log likelihood = -34399.206
Iteration 4: (EM) log likelihood = -33546.835
Iteration 5: (EM) log likelihood = -32441.02
Iteration 6: (EM) log likelihood = -31431.301
Iteration 7: (EM) log likelihood = -30779.756
Iteration 8: (EM) log likelihood = -30407.534
Iteration 9: (EM) log likelihood = -30161.58
Iteration 10: (EM) log likelihood = -29979.966
Iteration 11: (EM) log likelihood = -29843.415
Iteration 12: (EM) log likelihood = -29741.266
Iteration 13: (EM) log likelihood = -29661.482
Iteration 14: (EM) log likelihood = -29600.919
Iteration 15: (EM) log likelihood = -29552.275
Iteration 16: (EM) log likelihood = -29512.293
Iteration 17: (EM) log likelihood = -29476.984
Iteration 18: (EM) log likelihood = -29447.536
Iteration 19: (EM) log likelihood = -29421.21
Iteration 20: (EM) log likelihood = -29398.173
Iteration 21: (EM) log likelihood = -29377.259
Iteration 22: (EM) log likelihood = -29358.183
Iteration 23: (EM) log likelihood = -29340.531
Iteration 24: (EM) log likelihood = -29324.473
Iteration 25: (EM) log likelihood = -29309.441
Iteration 26: (EM) log likelihood = -29294.934
Iteration 27: (EM) log likelihood = -29281.112
Iteration 28: (EM) log likelihood = -29267.878
Iteration 29: (EM) log likelihood = -29255.008
Iteration 30: (EM) log likelihood = -29242.465
Iteration 31: (EM) log likelihood = -29229.966
Iteration 32: (EM) log likelihood = -29217.444
Iteration 33: (EM) log likelihood = -29204.935
Iteration 34: (EM) log likelihood = -29192.143
Iteration 35: (EM) log likelihood = -29179.137
Iteration 36: (EM) log likelihood = -29165.714
Iteration 37: (EM) log likelihood = -29151.672
Iteration 38: (EM) log likelihood = -29136.911
Iteration 39: (EM) log likelihood = -29121.768
Iteration 40: (EM) log likelihood = -29106.132
Iteration 41: (EM) log likelihood = -29089.633
Iteration 42: (EM) log likelihood = -29072.869
Iteration 43: (EM) log likelihood = -29055.635
Iteration 44: (EM) log likelihood = -29038.189
Iteration 45: (EM) log likelihood = -29020.912
Iteration 46: (EM) log likelihood = -29004.047
Iteration 47: (EM) log likelihood = -28988.201
Iteration 48: (EM) log likelihood = -28973.528
Iteration 49: (EM) log likelihood = -28960.312
Iteration 50: (EM) log likelihood = -28949.613
Iteration 51: (EM) log likelihood = -28940.201
Iteration 52: (EM) log likelihood = -28933.218
Iteration 53: (EM) log likelihood = -28928.836
Iteration 54: (EM) log likelihood = -28925.919
Iteration 55: (EM) log likelihood = -28924.591
Iteration 56: (EM) log likelihood = -28924.326
Iteration 57: (EM) log likelihood = -28925.146
Iteration 58: (EM) log likelihood = -28928.138
Iteration 59: (EM) log likelihood = -28929.813
Iteration 60: (EM) log likelihood = -28931.746
Iteration 61: (EM) log likelihood = -28934.346
Iteration 62: (EM) log likelihood = -28937.225
Iteration 63: (EM) log likelihood = -28940.526
Iteration 64: (EM) log likelihood = -28942.954
Iteration 65: (EM) log likelihood = -28944.823
Iteration 66: (EM) log likelihood = -28946.503
Iteration 67: (EM) log likelihood = -28947.766
Iteration 68: (EM) log likelihood = -28948.69
Iteration 69: (EM) log likelihood = -28949.173
Iteration 70: (EM) log likelihood = -28949.634
Iteration 71: (EM) log likelihood = -28949.252
Iteration 72: (EM) log likelihood = -28948.642
Iteration 73: (EM) log likelihood = -28945.465
Iteration 74: (EM) log likelihood = -28945.482
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.8859
Iteration 1: (class) log likelihood = -6097.8859
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29368.374
Iteration 1: (outcome) log likelihood = -29191.265
Iteration 2: (outcome) log likelihood = -29132.869
Iteration 3: (outcome) log likelihood = -29124.372
Iteration 4: (outcome) log likelihood = -29122.269
Iteration 5: (outcome) log likelihood = -29121.837
Iteration 6: (outcome) log likelihood = -29121.745
Iteration 7: (outcome) log likelihood = -29121.724
Iteration 8: (outcome) log likelihood = -29121.719
Iteration 9: (outcome) log likelihood = -29121.718
Iteration 10: (outcome) log likelihood = -29121.718
Iteration 11: (outcome) log likelihood = -29121.718
Iteration 12: (outcome) log likelihood = -29121.717
Refining starting values:
Iteration 0: (EM) log likelihood = -35200.214
Iteration 1: (EM) log likelihood = -35107.484
Iteration 2: (EM) log likelihood = -34760.131
Iteration 3: (EM) log likelihood = -33859.838
Iteration 4: (EM) log likelihood = -32734.555
Iteration 5: (EM) log likelihood = -31978.449
Iteration 6: (EM) log likelihood = -31514.231
Iteration 7: (EM) log likelihood = -31199.682
Iteration 8: (EM) log likelihood = -30961.651
Iteration 9: (EM) log likelihood = -30772.085
Iteration 10: (EM) log likelihood = -30611.379
Iteration 11: (EM) log likelihood = -30471.851
Iteration 12: (EM) log likelihood = -30349.124
Iteration 13: (EM) log likelihood = -30240.564
Iteration 14: (EM) log likelihood = -30148.374
Iteration 15: (EM) log likelihood = -30067.519
Iteration 16: (EM) log likelihood = -29997.568
Iteration 17: (EM) log likelihood = -29935.816
Iteration 18: (EM) log likelihood = -29883.328
Iteration 19: (EM) log likelihood = -29838.569
Iteration 20: (EM) log likelihood = -29800.785
Iteration 21: (EM) log likelihood = -29767.374
Iteration 22: (EM) log likelihood = -29737.614
Iteration 23: (EM) log likelihood = -29710.416
Iteration 24: (EM) log likelihood = -29685.074
Iteration 25: (EM) log likelihood = -29660.878
Iteration 26: (EM) log likelihood = -29637.656
Iteration 27: (EM) log likelihood = -29615.206
Iteration 28: (EM) log likelihood = -29593.336
Iteration 29: (EM) log likelihood = -29571.399
Iteration 30: (EM) log likelihood = -29551.18
Iteration 31: (EM) log likelihood = -29530.21
Iteration 32: (EM) log likelihood = -29507.848
Iteration 33: (EM) log likelihood = -29483.045
Iteration 34: (EM) log likelihood = -29455.055
Iteration 35: (EM) log likelihood = -29423.765
Iteration 36: (EM) log likelihood = -29387.409
Iteration 37: (EM) log likelihood = -29346.132
Iteration 38: (EM) log likelihood = -29301.171
Iteration 39: (EM) log likelihood = -29252.904
Iteration 40: (EM) log likelihood = -29204.832
Iteration 41: (EM) log likelihood = -29158.701
Iteration 42: (EM) log likelihood = -29116.527
Iteration 43: (EM) log likelihood = -29079.585
Iteration 44: (EM) log likelihood = -29047.71
Iteration 45: (EM) log likelihood = -29021.812
Iteration 46: (EM) log likelihood = -29001.484
Iteration 47: (EM) log likelihood = -28985.081
Iteration 48: (EM) log likelihood = -28972.966
Iteration 49: (EM) log likelihood = -28963.926
Iteration 50: (EM) log likelihood = -28956.935
Iteration 51: (EM) log likelihood = -28952.01
Iteration 52: (EM) log likelihood = -28949.06
Iteration 53: (EM) log likelihood = -28947.782
Iteration 54: (EM) log likelihood = -28947.324
Iteration 55: (EM) log likelihood = -28947.024
Iteration 56: (EM) log likelihood = -28947.194
Iteration 57: (EM) log likelihood = -28947.071
Iteration 58: (EM) log likelihood = -28947.097
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6095.5533
Iteration 1: (class) log likelihood = -6095.5533
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29340.832
Iteration 1: (outcome) log likelihood = -29178.609
Iteration 2: (outcome) log likelihood = -29131.515
Iteration 3: (outcome) log likelihood = -29122.688
Iteration 4: (outcome) log likelihood = -29121.018
Iteration 5: (outcome) log likelihood = -29120.657
Iteration 6: (outcome) log likelihood = -29120.572
Iteration 7: (outcome) log likelihood = -29120.553
Iteration 8: (outcome) log likelihood = -29120.548
Iteration 9: (outcome) log likelihood = -29120.548
Iteration 10: (outcome) log likelihood = -29120.548
Iteration 11: (outcome) log likelihood = -29120.548
Refining starting values:
Iteration 0: (EM) log likelihood = -35176.341
Iteration 1: (EM) log likelihood = -35031.91
Iteration 2: (EM) log likelihood = -34579.75
Iteration 3: (EM) log likelihood = -33625.865
Iteration 4: (EM) log likelihood = -32534.041
Iteration 5: (EM) log likelihood = -31670.628
Iteration 6: (EM) log likelihood = -31027.77
Iteration 7: (EM) log likelihood = -30566.566
Iteration 8: (EM) log likelihood = -30248.861
Iteration 9: (EM) log likelihood = -30025.918
Iteration 10: (EM) log likelihood = -29869.742
Iteration 11: (EM) log likelihood = -29755.335
Iteration 12: (EM) log likelihood = -29671.5
Iteration 13: (EM) log likelihood = -29608.206
Iteration 14: (EM) log likelihood = -29555.856
Iteration 15: (EM) log likelihood = -29511.897
Iteration 16: (EM) log likelihood = -29470.758
Iteration 17: (EM) log likelihood = -29432.487
Iteration 18: (EM) log likelihood = -29391.546
Iteration 19: (EM) log likelihood = -29351.623
Iteration 20: (EM) log likelihood = -29307.782
Iteration 21: (EM) log likelihood = -29262.31
Iteration 22: (EM) log likelihood = -29217.713
Iteration 23: (EM) log likelihood = -29171.663
Iteration 24: (EM) log likelihood = -29127.201
Iteration 25: (EM) log likelihood = -29082.339
Iteration 26: (EM) log likelihood = -29038
Iteration 27: (EM) log likelihood = -28995.752
Iteration 28: (EM) log likelihood = -28958.032
Iteration 29: (EM) log likelihood = -28922.205
Iteration 30: (EM) log likelihood = -28887.505
Iteration 31: (EM) log likelihood = -28857.139
Iteration 32: (EM) log likelihood = -28826.99
Iteration 33: (EM) log likelihood = -28799.521
Iteration 34: (EM) log likelihood = -28774.577
Iteration 35: (EM) log likelihood = -28752.398
Iteration 36: (EM) log likelihood = -28733.08
Iteration 37: (EM) log likelihood = -28714.136
Iteration 38: (EM) log likelihood = -28697.207
Iteration 39: (EM) log likelihood = -28683.84
Iteration 40: (EM) log likelihood = -28670.431
Iteration 41: (EM) log likelihood = -28658.142
Iteration 42: (EM) log likelihood = -28646.247
Iteration 43: (EM) log likelihood = -28636.158
Iteration 44: (EM) log likelihood = -28625.402
Iteration 45: (EM) log likelihood = -28615.871
Iteration 46: (EM) log likelihood = -28607.147
Iteration 47: (EM) log likelihood = -28599.907
Iteration 48: (EM) log likelihood = -28592.481
Iteration 49: (EM) log likelihood = -28586.814
Iteration 50: (EM) log likelihood = -28580.386
Iteration 51: (EM) log likelihood = -28573.377
Iteration 52: (EM) log likelihood = -28568.437
Iteration 53: (EM) log likelihood = -28561.305
Iteration 54: (EM) log likelihood = -28555.709
Iteration 55: (EM) log likelihood = -28551.084
Iteration 56: (EM) log likelihood = -28547.078
Iteration 57: (EM) log likelihood = -28541.525
Iteration 58: (EM) log likelihood = -28539.251
Iteration 59: (EM) log likelihood = -28535.665
Iteration 60: (EM) log likelihood = -28533.03
Iteration 61: (EM) log likelihood = -28530.331
Iteration 62: (EM) log likelihood = -28526.254
Iteration 63: (EM) log likelihood = -28522.359
Iteration 64: (EM) log likelihood = -28521.27
Iteration 65: (EM) log likelihood = -28517.924
Iteration 66: (EM) log likelihood = -28514.436
Iteration 67: (EM) log likelihood = -28511.1
Iteration 68: (EM) log likelihood = -28506.702
Iteration 69: (EM) log likelihood = -28503.032
Iteration 70: (EM) log likelihood = -28499.504
Iteration 71: (EM) log likelihood = -28495.601
Iteration 72: (EM) log likelihood = -28493.494
Iteration 73: (EM) log likelihood = -28491.269
Iteration 74: (EM) log likelihood = -28488.449
Iteration 75: (EM) log likelihood = -28486.29
Iteration 76: (EM) log likelihood = -28482.716
Iteration 77: (EM) log likelihood = -28479.085
Iteration 78: (EM) log likelihood = -28476.428
Iteration 79: (EM) log likelihood = -28472.768
Iteration 80: (EM) log likelihood = -28471.765
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6095.5922
Iteration 1: (class) log likelihood = -6095.5922
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29552.364
Iteration 1: (outcome) log likelihood = -29199.235
Iteration 2: (outcome) log likelihood = -29136.059
Iteration 3: (outcome) log likelihood = -29126.492
Iteration 4: (outcome) log likelihood = -29124.215
Iteration 5: (outcome) log likelihood = -29123.766
Iteration 6: (outcome) log likelihood = -29123.691
Iteration 7: (outcome) log likelihood = -29123.673
Iteration 8: (outcome) log likelihood = -29123.669
Iteration 9: (outcome) log likelihood = -29123.668
Iteration 10: (outcome) log likelihood = -29123.668
Iteration 11: (outcome) log likelihood = -29123.668
Refining starting values:
Iteration 0: (EM) log likelihood = -35174.856
Iteration 1: (EM) log likelihood = -35000.267
Iteration 2: (EM) log likelihood = -34492.196
Iteration 3: (EM) log likelihood = -33571.364
Iteration 4: (EM) log likelihood = -32609.502
Iteration 5: (EM) log likelihood = -31842.655
Iteration 6: (EM) log likelihood = -31249.685
Iteration 7: (EM) log likelihood = -30842.511
Iteration 8: (EM) log likelihood = -30558.958
Iteration 9: (EM) log likelihood = -30332.091
Iteration 10: (EM) log likelihood = -30127.797
Iteration 11: (EM) log likelihood = -29939.291
Iteration 12: (EM) log likelihood = -29774.634
Iteration 13: (EM) log likelihood = -29641.329
Iteration 14: (EM) log likelihood = -29535.033
Iteration 15: (EM) log likelihood = -29448.937
Iteration 16: (EM) log likelihood = -29374.092
Iteration 17: (EM) log likelihood = -29304.241
Iteration 18: (EM) log likelihood = -29235.192
Iteration 19: (EM) log likelihood = -29166.025
Iteration 20: (EM) log likelihood = -29094.946
Iteration 21: (EM) log likelihood = -29022.524
Iteration 22: (EM) log likelihood = -28949.363
Iteration 23: (EM) log likelihood = -28877.424
Iteration 24: (EM) log likelihood = -28808.587
Iteration 25: (EM) log likelihood = -28744.374
Iteration 26: (EM) log likelihood = -28686.045
Iteration 27: (EM) log likelihood = -28633.948
Iteration 28: (EM) log likelihood = -28588.326
Iteration 29: (EM) log likelihood = -28547.541
Iteration 30: (EM) log likelihood = -28512.473
Iteration 31: (EM) log likelihood = -28481.262
Iteration 32: (EM) log likelihood = -28453.642
Iteration 33: (EM) log likelihood = -28428.85
Iteration 34: (EM) log likelihood = -28407.031
Iteration 35: (EM) log likelihood = -28387.163
Iteration 36: (EM) log likelihood = -28369.654
Iteration 37: (EM) log likelihood = -28353.807
Iteration 38: (EM) log likelihood = -28339.383
Iteration 39: (EM) log likelihood = -28326.839
Iteration 40: (EM) log likelihood = -28316.344
Iteration 41: (EM) log likelihood = -28305.642
Iteration 42: (EM) log likelihood = -28296.136
Iteration 43: (EM) log likelihood = -28287.572
Iteration 44: (EM) log likelihood = -28278.821
Iteration 45: (EM) log likelihood = -28270.267
Iteration 46: (EM) log likelihood = -28263.122
Iteration 47: (EM) log likelihood = -28257.868
Iteration 48: (EM) log likelihood = -28252.471
Iteration 49: (EM) log likelihood = -28246.855
Iteration 50: (EM) log likelihood = -28241.603
Iteration 51: (EM) log likelihood = -28238.408
Iteration 52: (EM) log likelihood = -28234.482
Iteration 53: (EM) log likelihood = -28229.454
Iteration 54: (EM) log likelihood = -28225.991
Iteration 55: (EM) log likelihood = -28222.985
Iteration 56: (EM) log likelihood = -28220.145
Iteration 57: (EM) log likelihood = -28217.477
Iteration 58: (EM) log likelihood = -28214.021
Iteration 59: (EM) log likelihood = -28211.106
Iteration 60: (EM) log likelihood = -28208.044
Iteration 61: (EM) log likelihood = -28206.964
Iteration 62: (EM) log likelihood = -28204.934
Iteration 63: (EM) log likelihood = -28202.521
Iteration 64: (EM) log likelihood = -28199.984
Iteration 65: (EM) log likelihood = -28197.698
Iteration 66: (EM) log likelihood = -28195.857
Iteration 67: (EM) log likelihood = -28193.748
Iteration 68: (EM) log likelihood = -28192.108
Iteration 69: (EM) log likelihood = -28189.458
Iteration 70: (EM) log likelihood = -28187.013
Iteration 71: (EM) log likelihood = -28186.597
Iteration 72: (EM) log likelihood = -28184.806
Iteration 73: (EM) log likelihood = -28183.067
Iteration 74: (EM) log likelihood = -28181.336
Iteration 75: (EM) log likelihood = -28180.141
Iteration 76: (EM) log likelihood = -28178.598
Iteration 77: (EM) log likelihood = -28177.142
Iteration 78: (EM) log likelihood = -28176.197
Iteration 79: (EM) log likelihood = -28174.307
Iteration 80: (EM) log likelihood = -28172.556
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.4848
Iteration 1: (class) log likelihood = -6097.4848
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29805.866
Iteration 1: (outcome) log likelihood = -29269.751
Iteration 2: (outcome) log likelihood = -29142.525
Iteration 3: (outcome) log likelihood = -29124.918
Iteration 4: (outcome) log likelihood = -29121.325
Iteration 5: (outcome) log likelihood = -29120.555
Iteration 6: (outcome) log likelihood = -29120.383
Iteration 7: (outcome) log likelihood = -29120.341
Iteration 8: (outcome) log likelihood = -29120.332
Iteration 9: (outcome) log likelihood = -29120.33
Iteration 10: (outcome) log likelihood = -29120.33
Iteration 11: (outcome) log likelihood = -29120.33
Iteration 12: (outcome) log likelihood = -29120.33
Refining starting values:
Iteration 0: (EM) log likelihood = -35190.139
Iteration 1: (EM) log likelihood = -35076.678
Iteration 2: (EM) log likelihood = -34675.549
Iteration 3: (EM) log likelihood = -33671.822
Iteration 4: (EM) log likelihood = -32501.503
Iteration 5: (EM) log likelihood = -31733.856
Iteration 6: (EM) log likelihood = -31238.658
Iteration 7: (EM) log likelihood = -30896.471
Iteration 8: (EM) log likelihood = -30646.95
Iteration 9: (EM) log likelihood = -30470.13
Iteration 10: (EM) log likelihood = -30341.628
Iteration 11: (EM) log likelihood = -30244.851
Iteration 12: (EM) log likelihood = -30161.272
Iteration 13: (EM) log likelihood = -30083.27
Iteration 14: (EM) log likelihood = -30008.026
Iteration 15: (EM) log likelihood = -29935.734
Iteration 16: (EM) log likelihood = -29866.934
Iteration 17: (EM) log likelihood = -29802.138
Iteration 18: (EM) log likelihood = -29743.875
Iteration 19: (EM) log likelihood = -29691.225
Iteration 20: (EM) log likelihood = -29646.924
Iteration 21: (EM) log likelihood = -29608.433
Iteration 22: (EM) log likelihood = -29575.51
Iteration 23: (EM) log likelihood = -29548.191
Iteration 24: (EM) log likelihood = -29526.028
Iteration 25: (EM) log likelihood = -29506.923
Iteration 26: (EM) log likelihood = -29489.747
Iteration 27: (EM) log likelihood = -29473.767
Iteration 28: (EM) log likelihood = -29460.335
Iteration 29: (EM) log likelihood = -29447.458
Iteration 30: (EM) log likelihood = -29435.17
Iteration 31: (EM) log likelihood = -29422.359
Iteration 32: (EM) log likelihood = -29409.1
Iteration 33: (EM) log likelihood = -29395.845
Iteration 34: (EM) log likelihood = -29381.641
Iteration 35: (EM) log likelihood = -29367.13
Iteration 36: (EM) log likelihood = -29349.998
Iteration 37: (EM) log likelihood = -29333.548
Iteration 38: (EM) log likelihood = -29314.295
Iteration 39: (EM) log likelihood = -29294.11
Iteration 40: (EM) log likelihood = -29273.141
Iteration 41: (EM) log likelihood = -29250.517
Iteration 42: (EM) log likelihood = -29226.657
Iteration 43: (EM) log likelihood = -29201.442
Iteration 44: (EM) log likelihood = -29175.167
Iteration 45: (EM) log likelihood = -29147.715
Iteration 46: (EM) log likelihood = -29119.412
Iteration 47: (EM) log likelihood = -29091.075
Iteration 48: (EM) log likelihood = -29061.909
Iteration 49: (EM) log likelihood = -29031.577
Iteration 50: (EM) log likelihood = -28999.919
Iteration 51: (EM) log likelihood = -28968.077
Iteration 52: (EM) log likelihood = -28936.547
Iteration 53: (EM) log likelihood = -28906.252
Iteration 54: (EM) log likelihood = -28875.206
Iteration 55: (EM) log likelihood = -28843.327
Iteration 56: (EM) log likelihood = -28813.394
Iteration 57: (EM) log likelihood = -28782.327
Iteration 58: (EM) log likelihood = -28751.579
Iteration 59: (EM) log likelihood = -28721.594
Iteration 60: (EM) log likelihood = -28692.966
Iteration 61: (EM) log likelihood = -28665.888
Iteration 62: (EM) log likelihood = -28639.684
Iteration 63: (EM) log likelihood = -28613.056
Iteration 64: (EM) log likelihood = -28587.515
Iteration 65: (EM) log likelihood = -28562.264
Iteration 66: (EM) log likelihood = -28537.505
Iteration 67: (EM) log likelihood = -28514.603
Iteration 68: (EM) log likelihood = -28492.269
Iteration 69: (EM) log likelihood = -28470.943
Iteration 70: (EM) log likelihood = -28449.892
Iteration 71: (EM) log likelihood = -28431.004
Iteration 72: (EM) log likelihood = -28413.789
Iteration 73: (EM) log likelihood = -28396.961
Iteration 74: (EM) log likelihood = -28381.969
Iteration 75: (EM) log likelihood = -28366.414
Iteration 76: (EM) log likelihood = -28352.367
Iteration 77: (EM) log likelihood = -28338.413
Iteration 78: (EM) log likelihood = -28326.076
Iteration 79: (EM) log likelihood = -28314.483
Iteration 80: (EM) log likelihood = -28303.91
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6094.4627
Iteration 1: (class) log likelihood = -6094.4627
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29564.082
Iteration 1: (outcome) log likelihood = -29206.503
Iteration 2: (outcome) log likelihood = -29137.905
Iteration 3: (outcome) log likelihood = -29128.138
Iteration 4: (outcome) log likelihood = -29126.033
Iteration 5: (outcome) log likelihood = -29125.528
Iteration 6: (outcome) log likelihood = -29125.416
Iteration 7: (outcome) log likelihood = -29125.391
Iteration 8: (outcome) log likelihood = -29125.387
Iteration 9: (outcome) log likelihood = -29125.386
Iteration 10: (outcome) log likelihood = -29125.386
Iteration 11: (outcome) log likelihood = -29125.386
Refining starting values:
Iteration 0: (EM) log likelihood = -35181.884
Iteration 1: (EM) log likelihood = -35015.133
Iteration 2: (EM) log likelihood = -34481.582
Iteration 3: (EM) log likelihood = -33486.357
Iteration 4: (EM) log likelihood = -32512.574
Iteration 5: (EM) log likelihood = -31842.803
Iteration 6: (EM) log likelihood = -31392.668
Iteration 7: (EM) log likelihood = -31070.287
Iteration 8: (EM) log likelihood = -30808.701
Iteration 9: (EM) log likelihood = -30586.465
Iteration 10: (EM) log likelihood = -30402.366
Iteration 11: (EM) log likelihood = -30254.452
Iteration 12: (EM) log likelihood = -30137.88
Iteration 13: (EM) log likelihood = -30044.09
Iteration 14: (EM) log likelihood = -29963.728
Iteration 15: (EM) log likelihood = -29891.875
Iteration 16: (EM) log likelihood = -29825.129
Iteration 17: (EM) log likelihood = -29763.406
Iteration 18: (EM) log likelihood = -29707.5
Iteration 19: (EM) log likelihood = -29660.206
Iteration 20: (EM) log likelihood = -29618.681
Iteration 21: (EM) log likelihood = -29581.745
Iteration 22: (EM) log likelihood = -29547.334
Iteration 23: (EM) log likelihood = -29514.219
Iteration 24: (EM) log likelihood = -29480.342
Iteration 25: (EM) log likelihood = -29445.553
Iteration 26: (EM) log likelihood = -29408.768
Iteration 27: (EM) log likelihood = -29369.622
Iteration 28: (EM) log likelihood = -29328.485
Iteration 29: (EM) log likelihood = -29285.146
Iteration 30: (EM) log likelihood = -29240.141
Iteration 31: (EM) log likelihood = -29193.982
Iteration 32: (EM) log likelihood = -29146.788
Iteration 33: (EM) log likelihood = -29099.459
Iteration 34: (EM) log likelihood = -29052.81
Iteration 35: (EM) log likelihood = -29009.445
Iteration 36: (EM) log likelihood = -28969.104
Iteration 37: (EM) log likelihood = -28931.153
Iteration 38: (EM) log likelihood = -28895.403
Iteration 39: (EM) log likelihood = -28861.509
Iteration 40: (EM) log likelihood = -28829.291
Iteration 41: (EM) log likelihood = -28798.222
Iteration 42: (EM) log likelihood = -28768.75
Iteration 43: (EM) log likelihood = -28740.264
Iteration 44: (EM) log likelihood = -28713.149
Iteration 45: (EM) log likelihood = -28686.923
Iteration 46: (EM) log likelihood = -28661.625
Iteration 47: (EM) log likelihood = -28637.782
Iteration 48: (EM) log likelihood = -28614.323
Iteration 49: (EM) log likelihood = -28592.064
Iteration 50: (EM) log likelihood = -28571.072
Iteration 51: (EM) log likelihood = -28551.79
Iteration 52: (EM) log likelihood = -28533.273
Iteration 53: (EM) log likelihood = -28516.593
Iteration 54: (EM) log likelihood = -28501.109
Iteration 55: (EM) log likelihood = -28486.581
Iteration 56: (EM) log likelihood = -28473.344
Iteration 57: (EM) log likelihood = -28460.983
Iteration 58: (EM) log likelihood = -28449.306
Iteration 59: (EM) log likelihood = -28438.001
Iteration 60: (EM) log likelihood = -28426.938
Iteration 61: (EM) log likelihood = -28415.914
Iteration 62: (EM) log likelihood = -28405.05
Iteration 63: (EM) log likelihood = -28394.407
Iteration 64: (EM) log likelihood = -28383.394
Iteration 65: (EM) log likelihood = -28372.386
Iteration 66: (EM) log likelihood = -28360.96
Iteration 67: (EM) log likelihood = -28349.751
Iteration 68: (EM) log likelihood = -28337.682
Iteration 69: (EM) log likelihood = -28325.537
Iteration 70: (EM) log likelihood = -28313.459
Iteration 71: (EM) log likelihood = -28301.422
Iteration 72: (EM) log likelihood = -28289.621
Iteration 73: (EM) log likelihood = -28278.149
Iteration 74: (EM) log likelihood = -28267.28
Iteration 75: (EM) log likelihood = -28257.798
Iteration 76: (EM) log likelihood = -28248.58
Iteration 77: (EM) log likelihood = -28240.016
Iteration 78: (EM) log likelihood = -28232.05
Iteration 79: (EM) log likelihood = -28225.317
Iteration 80: (EM) log likelihood = -28219.265
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.1682
Iteration 1: (class) log likelihood = -6097.1682
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29865.203
Iteration 1: (outcome) log likelihood = -29254.714
Iteration 2: (outcome) log likelihood = -29150.572
Iteration 3: (outcome) log likelihood = -29127.978
Iteration 4: (outcome) log likelihood = -29123.168
Iteration 5: (outcome) log likelihood = -29122.113
Iteration 6: (outcome) log likelihood = -29121.94
Iteration 7: (outcome) log likelihood = -29121.898
Iteration 8: (outcome) log likelihood = -29121.889
Iteration 9: (outcome) log likelihood = -29121.887
Iteration 10: (outcome) log likelihood = -29121.887
Iteration 11: (outcome) log likelihood = -29121.887
Iteration 12: (outcome) log likelihood = -29121.887
Refining starting values:
Iteration 0: (EM) log likelihood = -35192.557
Iteration 1: (EM) log likelihood = -35108.154
Iteration 2: (EM) log likelihood = -34845.407
Iteration 3: (EM) log likelihood = -34156.653
Iteration 4: (EM) log likelihood = -33127.624
Iteration 5: (EM) log likelihood = -32291.147
Iteration 6: (EM) log likelihood = -31749.29
Iteration 7: (EM) log likelihood = -31392.171
Iteration 8: (EM) log likelihood = -31128.876
Iteration 9: (EM) log likelihood = -30900.794
Iteration 10: (EM) log likelihood = -30683.704
Iteration 11: (EM) log likelihood = -30479.425
Iteration 12: (EM) log likelihood = -30293.918
Iteration 13: (EM) log likelihood = -30131.584
Iteration 14: (EM) log likelihood = -29991.24
Iteration 15: (EM) log likelihood = -29871.441
Iteration 16: (EM) log likelihood = -29765.71
Iteration 17: (EM) log likelihood = -29671.047
Iteration 18: (EM) log likelihood = -29583.94
Iteration 19: (EM) log likelihood = -29502.282
Iteration 20: (EM) log likelihood = -29429.279
Iteration 21: (EM) log likelihood = -29361.33
Iteration 22: (EM) log likelihood = -29299.581
Iteration 23: (EM) log likelihood = -29245.196
Iteration 24: (EM) log likelihood = -29197.609
Iteration 25: (EM) log likelihood = -29158.607
Iteration 26: (EM) log likelihood = -29124.307
Iteration 27: (EM) log likelihood = -29097.392
Iteration 28: (EM) log likelihood = -29074.796
Iteration 29: (EM) log likelihood = -29056.706
Iteration 30: (EM) log likelihood = -29041.432
Iteration 31: (EM) log likelihood = -29029.871
Iteration 32: (EM) log likelihood = -29020.105
Iteration 33: (EM) log likelihood = -29011.669
Iteration 34: (EM) log likelihood = -29003.191
Iteration 35: (EM) log likelihood = -28994.579
Iteration 36: (EM) log likelihood = -28984.772
Iteration 37: (EM) log likelihood = -28973.906
Iteration 38: (EM) log likelihood = -28962.83
Iteration 39: (EM) log likelihood = -28952.167
Iteration 40: (EM) log likelihood = -28941.578
Iteration 41: (EM) log likelihood = -28931.006
Iteration 42: (EM) log likelihood = -28921.04
Iteration 43: (EM) log likelihood = -28910.577
Iteration 44: (EM) log likelihood = -28899.885
Iteration 45: (EM) log likelihood = -28890.495
Iteration 46: (EM) log likelihood = -28880.465
Iteration 47: (EM) log likelihood = -28871.422
Iteration 48: (EM) log likelihood = -28862.159
Iteration 49: (EM) log likelihood = -28852.944
Iteration 50: (EM) log likelihood = -28840.452
Iteration 51: (EM) log likelihood = -28833.199
Iteration 52: (EM) log likelihood = -28825.029
Iteration 53: (EM) log likelihood = -28817.014
Iteration 54: (EM) log likelihood = -28808.653
Iteration 55: (EM) log likelihood = -28801.002
Iteration 56: (EM) log likelihood = -28794.096
Iteration 57: (EM) log likelihood = -28788.928
Iteration 58: (EM) log likelihood = -28781.498
Iteration 59: (EM) log likelihood = -28775.281
Iteration 60: (EM) log likelihood = -28770.102
Iteration 61: (EM) log likelihood = -28765.939
Iteration 62: (EM) log likelihood = -28758.46
Iteration 63: (EM) log likelihood = -28751.125
Iteration 64: (EM) log likelihood = -28743.859
Iteration 65: (EM) log likelihood = -28738.162
Iteration 66: (EM) log likelihood = -28732.486
Iteration 67: (EM) log likelihood = -28726.151
Iteration 68: (EM) log likelihood = -28721.297
Iteration 69: (EM) log likelihood = -28715.881
Iteration 70: (EM) log likelihood = -28710.363
Iteration 71: (EM) log likelihood = -28706.023
Iteration 72: (EM) log likelihood = -28701.619
Iteration 73: (EM) log likelihood = -28695.531
Iteration 74: (EM) log likelihood = -28690.809
Iteration 75: (EM) log likelihood = -28686.108
Iteration 76: (EM) log likelihood = -28682.124
Iteration 77: (EM) log likelihood = -28678.118
Iteration 78: (EM) log likelihood = -28674.836
Iteration 79: (EM) log likelihood = -28670.881
Iteration 80: (EM) log likelihood = -28665.67
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6095.8408
Iteration 1: (class) log likelihood = -6095.8408
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29401.103
Iteration 1: (outcome) log likelihood = -29159.265
Iteration 2: (outcome) log likelihood = -29132.757
Iteration 3: (outcome) log likelihood = -29126.547
Iteration 4: (outcome) log likelihood = -29125.074
Iteration 5: (outcome) log likelihood = -29124.755
Iteration 6: (outcome) log likelihood = -29124.689
Iteration 7: (outcome) log likelihood = -29124.674
Iteration 8: (outcome) log likelihood = -29124.671
Iteration 9: (outcome) log likelihood = -29124.67
Iteration 10: (outcome) log likelihood = -29124.67
Iteration 11: (outcome) log likelihood = -29124.67
Iteration 12: (outcome) log likelihood = -29124.67
Refining starting values:
Iteration 0: (EM) log likelihood = -35206.09
Iteration 1: (EM) log likelihood = -35142.593
Iteration 2: (EM) log likelihood = -34900.595
Iteration 3: (EM) log likelihood = -34170.493
Iteration 4: (EM) log likelihood = -33080.402
Iteration 5: (EM) log likelihood = -32270.727
Iteration 6: (EM) log likelihood = -31762.089
Iteration 7: (EM) log likelihood = -31375.348
Iteration 8: (EM) log likelihood = -31037.084
Iteration 9: (EM) log likelihood = -30747.182
Iteration 10: (EM) log likelihood = -30516.328
Iteration 11: (EM) log likelihood = -30337.082
Iteration 12: (EM) log likelihood = -30191.751
Iteration 13: (EM) log likelihood = -30064.336
Iteration 14: (EM) log likelihood = -29941.994
Iteration 15: (EM) log likelihood = -29819.056
Iteration 16: (EM) log likelihood = -29698.948
Iteration 17: (EM) log likelihood = -29586.853
Iteration 18: (EM) log likelihood = -29487.84
Iteration 19: (EM) log likelihood = -29402.571
Iteration 20: (EM) log likelihood = -29329.351
Iteration 21: (EM) log likelihood = -29267.117
Iteration 22: (EM) log likelihood = -29212.741
Iteration 23: (EM) log likelihood = -29164.457
Iteration 24: (EM) log likelihood = -29121.597
Iteration 25: (EM) log likelihood = -29082.307
Iteration 26: (EM) log likelihood = -29045.823
Iteration 27: (EM) log likelihood = -29011.408
Iteration 28: (EM) log likelihood = -28979.102
Iteration 29: (EM) log likelihood = -28947.923
Iteration 30: (EM) log likelihood = -28918.508
Iteration 31: (EM) log likelihood = -28890.438
Iteration 32: (EM) log likelihood = -28863.945
Iteration 33: (EM) log likelihood = -28839.034
Iteration 34: (EM) log likelihood = -28815.337
Iteration 35: (EM) log likelihood = -28792.881
Iteration 36: (EM) log likelihood = -28771.465
Iteration 37: (EM) log likelihood = -28751.366
Iteration 38: (EM) log likelihood = -28732.201
Iteration 39: (EM) log likelihood = -28713.707
Iteration 40: (EM) log likelihood = -28695.838
Iteration 41: (EM) log likelihood = -28678.475
Iteration 42: (EM) log likelihood = -28660.704
Iteration 43: (EM) log likelihood = -28644.393
Iteration 44: (EM) log likelihood = -28627.319
Iteration 45: (EM) log likelihood = -28610.64
Iteration 46: (EM) log likelihood = -28593.617
Iteration 47: (EM) log likelihood = -28576.987
Iteration 48: (EM) log likelihood = -28559.434
Iteration 49: (EM) log likelihood = -28542.461
Iteration 50: (EM) log likelihood = -28524.275
Iteration 51: (EM) log likelihood = -28505.954
Iteration 52: (EM) log likelihood = -28487.545
Iteration 53: (EM) log likelihood = -28468.606
Iteration 54: (EM) log likelihood = -28448.02
Iteration 55: (EM) log likelihood = -28429.165
Iteration 56: (EM) log likelihood = -28409.551
Iteration 57: (EM) log likelihood = -28390.176
Iteration 58: (EM) log likelihood = -28370.939
Iteration 59: (EM) log likelihood = -28352.163
Iteration 60: (EM) log likelihood = -28333.298
Iteration 61: (EM) log likelihood = -28315.793
Iteration 62: (EM) log likelihood = -28298.938
Iteration 63: (EM) log likelihood = -28283.669
Iteration 64: (EM) log likelihood = -28269.606
Iteration 65: (EM) log likelihood = -28256.744
Iteration 66: (EM) log likelihood = -28245.132
Iteration 67: (EM) log likelihood = -28234.785
Iteration 68: (EM) log likelihood = -28225.354
Iteration 69: (EM) log likelihood = -28217.105
Iteration 70: (EM) log likelihood = -28210.395
Iteration 71: (EM) log likelihood = -28204.314
Iteration 72: (EM) log likelihood = -28198.704
Iteration 73: (EM) log likelihood = -28193.81
Iteration 74: (EM) log likelihood = -28189.281
Iteration 75: (EM) log likelihood = -28184.801
Iteration 76: (EM) log likelihood = -28180.736
Iteration 77: (EM) log likelihood = -28177.563
Iteration 78: (EM) log likelihood = -28174.654
Iteration 79: (EM) log likelihood = -28171.92
Iteration 80: (EM) log likelihood = -28168.961
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6095.5625
Iteration 1: (class) log likelihood = -6095.5625
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29136.101
Iteration 1: (outcome) log likelihood = -29136.101
Refining starting values:
Iteration 0: (EM) log likelihood = -35218.784
Iteration 1: (EM) log likelihood = -35158.651
Iteration 2: (EM) log likelihood = -34944.403
Iteration 3: (EM) log likelihood = -34383.606
Iteration 4: (EM) log likelihood = -33510.703
Iteration 5: (EM) log likelihood = -32666.183
Iteration 6: (EM) log likelihood = -31999.441
Iteration 7: (EM) log likelihood = -31454.24
Iteration 8: (EM) log likelihood = -30983.579
Iteration 9: (EM) log likelihood = -30612.972
Iteration 10: (EM) log likelihood = -30354.099
Iteration 11: (EM) log likelihood = -30172.242
Iteration 12: (EM) log likelihood = -30024.265
Iteration 13: (EM) log likelihood = -29885.05
Iteration 14: (EM) log likelihood = -29754.139
Iteration 15: (EM) log likelihood = -29639.817
Iteration 16: (EM) log likelihood = -29550.032
Iteration 17: (EM) log likelihood = -29483.579
Iteration 18: (EM) log likelihood = -29436.034
Iteration 19: (EM) log likelihood = -29398.909
Iteration 20: (EM) log likelihood = -29367.346
Iteration 21: (EM) log likelihood = -29337.634
Iteration 22: (EM) log likelihood = -29307.351
Iteration 23: (EM) log likelihood = -29276.464
Iteration 24: (EM) log likelihood = -29243.918
Iteration 25: (EM) log likelihood = -29210.969
Iteration 26: (EM) log likelihood = -29177.637
Iteration 27: (EM) log likelihood = -29141.58
Iteration 28: (EM) log likelihood = -29108.261
Iteration 29: (EM) log likelihood = -29074.638
Iteration 30: (EM) log likelihood = -29041.777
Iteration 31: (EM) log likelihood = -29009.466
Iteration 32: (EM) log likelihood = -28978.723
Iteration 33: (EM) log likelihood = -28948.87
Iteration 34: (EM) log likelihood = -28920.694
Iteration 35: (EM) log likelihood = -28893.593
Iteration 36: (EM) log likelihood = -28868.145
Iteration 37: (EM) log likelihood = -28843.868
Iteration 38: (EM) log likelihood = -28821.134
Iteration 39: (EM) log likelihood = -28800.26
Iteration 40: (EM) log likelihood = -28780.866
Iteration 41: (EM) log likelihood = -28763.706
Iteration 42: (EM) log likelihood = -28748.231
Iteration 43: (EM) log likelihood = -28734.493
Iteration 44: (EM) log likelihood = -28721.685
Iteration 45: (EM) log likelihood = -28710.683
Iteration 46: (EM) log likelihood = -28700.747
Iteration 47: (EM) log likelihood = -28691.783
Iteration 48: (EM) log likelihood = -28683.728
Iteration 49: (EM) log likelihood = -28676.402
Iteration 50: (EM) log likelihood = -28669.727
Iteration 51: (EM) log likelihood = -28663.671
Iteration 52: (EM) log likelihood = -28658.037
Iteration 53: (EM) log likelihood = -28652.761
Iteration 54: (EM) log likelihood = -28647.648
Iteration 55: (EM) log likelihood = -28642.997
Iteration 56: (EM) log likelihood = -28638.605
Iteration 57: (EM) log likelihood = -28634.499
Iteration 58: (EM) log likelihood = -28630.31
Iteration 59: (EM) log likelihood = -28626.436
Iteration 60: (EM) log likelihood = -28623.05
Iteration 61: (EM) log likelihood = -28620.277
Iteration 62: (EM) log likelihood = -28616.567
Iteration 63: (EM) log likelihood = -28612.978
Iteration 64: (EM) log likelihood = -28609.448
Iteration 65: (EM) log likelihood = -28606.082
Iteration 66: (EM) log likelihood = -28602.956
Iteration 67: (EM) log likelihood = -28599.963
Iteration 68: (EM) log likelihood = -28597.015
Iteration 69: (EM) log likelihood = -28593.881
Iteration 70: (EM) log likelihood = -28590.761
Iteration 71: (EM) log likelihood = -28587.782
Iteration 72: (EM) log likelihood = -28585
Iteration 73: (EM) log likelihood = -28581.83
Iteration 74: (EM) log likelihood = -28578.498
Iteration 75: (EM) log likelihood = -28575.647
Iteration 76: (EM) log likelihood = -28572.739
Iteration 77: (EM) log likelihood = -28569.886
Iteration 78: (EM) log likelihood = -28567.081
Iteration 79: (EM) log likelihood = -28564.312
Iteration 80: (EM) log likelihood = -28561.566
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.2953
Iteration 1: (class) log likelihood = -6096.2953
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29594.625
Iteration 1: (outcome) log likelihood = -29180.377
Iteration 2: (outcome) log likelihood = -29133.165
Iteration 3: (outcome) log likelihood = -29119.148
Iteration 4: (outcome) log likelihood = -29116.03
Iteration 5: (outcome) log likelihood = -29115.387
Iteration 6: (outcome) log likelihood = -29115.256
Iteration 7: (outcome) log likelihood = -29115.225
Iteration 8: (outcome) log likelihood = -29115.218
Iteration 9: (outcome) log likelihood = -29115.216
Iteration 10: (outcome) log likelihood = -29115.216
Iteration 11: (outcome) log likelihood = -29115.216
Refining starting values:
Iteration 0: (EM) log likelihood = -35175.209
Iteration 1: (EM) log likelihood = -35025.273
Iteration 2: (EM) log likelihood = -34562.976
Iteration 3: (EM) log likelihood = -33679.539
Iteration 4: (EM) log likelihood = -32747.155
Iteration 5: (EM) log likelihood = -32048.997
Iteration 6: (EM) log likelihood = -31532.813
Iteration 7: (EM) log likelihood = -31112.554
Iteration 8: (EM) log likelihood = -30751.703
Iteration 9: (EM) log likelihood = -30457.607
Iteration 10: (EM) log likelihood = -30238.997
Iteration 11: (EM) log likelihood = -30087.169
Iteration 12: (EM) log likelihood = -29972.44
Iteration 13: (EM) log likelihood = -29874.552
Iteration 14: (EM) log likelihood = -29790.652
Iteration 15: (EM) log likelihood = -29718.415
Iteration 16: (EM) log likelihood = -29659.723
Iteration 17: (EM) log likelihood = -29615.471
Iteration 18: (EM) log likelihood = -29582.545
Iteration 19: (EM) log likelihood = -29559.867
Iteration 20: (EM) log likelihood = -29545.135
Iteration 21: (EM) log likelihood = -29534.637
Iteration 22: (EM) log likelihood = -29527.183
Iteration 23: (EM) log likelihood = -29522.078
Iteration 24: (EM) log likelihood = -29517.907
Iteration 25: (EM) log likelihood = -29514.266
Iteration 26: (EM) log likelihood = -29511.388
Iteration 27: (EM) log likelihood = -29508.677
Iteration 28: (EM) log likelihood = -29505.631
Iteration 29: (EM) log likelihood = -29502.903
Iteration 30: (EM) log likelihood = -29499.784
Iteration 31: (EM) log likelihood = -29496.198
Iteration 32: (EM) log likelihood = -29492.438
Iteration 33: (EM) log likelihood = -29487.309
Iteration 34: (EM) log likelihood = -29481.453
Iteration 35: (EM) log likelihood = -29474.487
Iteration 36: (EM) log likelihood = -29466.686
Iteration 37: (EM) log likelihood = -29456.957
Iteration 38: (EM) log likelihood = -29445.744
Iteration 39: (EM) log likelihood = -29432.59
Iteration 40: (EM) log likelihood = -29416.991
Iteration 41: (EM) log likelihood = -29400.531
Iteration 42: (EM) log likelihood = -29381.339
Iteration 43: (EM) log likelihood = -29360.27
Iteration 44: (EM) log likelihood = -29337.047
Iteration 45: (EM) log likelihood = -29312.815
Iteration 46: (EM) log likelihood = -29286.568
Iteration 47: (EM) log likelihood = -29260.582
Iteration 48: (EM) log likelihood = -29234.608
Iteration 49: (EM) log likelihood = -29208.995
Iteration 50: (EM) log likelihood = -29183.909
Iteration 51: (EM) log likelihood = -29158.817
Iteration 52: (EM) log likelihood = -29135.505
Iteration 53: (EM) log likelihood = -29112.832
Iteration 54: (EM) log likelihood = -29090.856
Iteration 55: (EM) log likelihood = -29069.696
Iteration 56: (EM) log likelihood = -29049.172
Iteration 57: (EM) log likelihood = -29029.615
Iteration 58: (EM) log likelihood = -29010.206
Iteration 59: (EM) log likelihood = -28991.133
Iteration 60: (EM) log likelihood = -28972.481
Iteration 61: (EM) log likelihood = -28954.099
Iteration 62: (EM) log likelihood = -28935.125
Iteration 63: (EM) log likelihood = -28916.672
Iteration 64: (EM) log likelihood = -28897.713
Iteration 65: (EM) log likelihood = -28879.384
Iteration 66: (EM) log likelihood = -28857.688
Iteration 67: (EM) log likelihood = -28838.045
Iteration 68: (EM) log likelihood = -28819.229
Iteration 69: (EM) log likelihood = -28800.443
Iteration 70: (EM) log likelihood = -28781.412
Iteration 71: (EM) log likelihood = -28762.097
Iteration 72: (EM) log likelihood = -28749.707
Iteration 73: (EM) log likelihood = -28731.069
Iteration 74: (EM) log likelihood = -28713.949
Iteration 75: (EM) log likelihood = -28696.745
Iteration 76: (EM) log likelihood = -28678.272
Iteration 77: (EM) log likelihood = -28658.318
Iteration 78: (EM) log likelihood = -28636.817
Iteration 79: (EM) log likelihood = -28615.639
Iteration 80: (EM) log likelihood = -28595.804
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6092.1518
Iteration 1: (class) log likelihood = -6092.1518
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29924.196
Iteration 1: (outcome) log likelihood = -29254.134
Iteration 2: (outcome) log likelihood = -29145.331
Iteration 3: (outcome) log likelihood = -29121.287
Iteration 4: (outcome) log likelihood = -29116.245
Iteration 5: (outcome) log likelihood = -29115.122
Iteration 6: (outcome) log likelihood = -29114.938
Iteration 7: (outcome) log likelihood = -29114.894
Iteration 8: (outcome) log likelihood = -29114.885
Iteration 9: (outcome) log likelihood = -29114.883
Iteration 10: (outcome) log likelihood = -29114.882
Iteration 11: (outcome) log likelihood = -29114.882
Iteration 12: (outcome) log likelihood = -29114.882
Refining starting values:
Iteration 0: (EM) log likelihood = -35172.055
Iteration 1: (EM) log likelihood = -35054.004
Iteration 2: (EM) log likelihood = -34697.863
Iteration 3: (EM) log likelihood = -33905.963
Iteration 4: (EM) log likelihood = -32799.349
Iteration 5: (EM) log likelihood = -31774.377
Iteration 6: (EM) log likelihood = -31030.718
Iteration 7: (EM) log likelihood = -30547.138
Iteration 8: (EM) log likelihood = -30234.645
Iteration 9: (EM) log likelihood = -30017.379
Iteration 10: (EM) log likelihood = -29851.404
Iteration 11: (EM) log likelihood = -29721.044
Iteration 12: (EM) log likelihood = -29617.714
Iteration 13: (EM) log likelihood = -29535.259
Iteration 14: (EM) log likelihood = -29466.582
Iteration 15: (EM) log likelihood = -29407.745
Iteration 16: (EM) log likelihood = -29351.791
Iteration 17: (EM) log likelihood = -29297.213
Iteration 18: (EM) log likelihood = -29246.511
Iteration 19: (EM) log likelihood = -29194.778
Iteration 20: (EM) log likelihood = -29146.395
Iteration 21: (EM) log likelihood = -29098.634
Iteration 22: (EM) log likelihood = -29055.256
Iteration 23: (EM) log likelihood = -29014.451
Iteration 24: (EM) log likelihood = -28976.765
Iteration 25: (EM) log likelihood = -28943.326
Iteration 26: (EM) log likelihood = -28912.784
Iteration 27: (EM) log likelihood = -28886.089
Iteration 28: (EM) log likelihood = -28862.705
Iteration 29: (EM) log likelihood = -28841.853
Iteration 30: (EM) log likelihood = -28823.318
Iteration 31: (EM) log likelihood = -28807.508
Iteration 32: (EM) log likelihood = -28793.587
Iteration 33: (EM) log likelihood = -28781.637
Iteration 34: (EM) log likelihood = -28769.869
Iteration 35: (EM) log likelihood = -28759.798
Iteration 36: (EM) log likelihood = -28751.394
Iteration 37: (EM) log likelihood = -28743.051
Iteration 38: (EM) log likelihood = -28735.528
Iteration 39: (EM) log likelihood = -28728.816
Iteration 40: (EM) log likelihood = -28722.498
Iteration 41: (EM) log likelihood = -28716.59
Iteration 42: (EM) log likelihood = -28711.096
Iteration 43: (EM) log likelihood = -28706.213
Iteration 44: (EM) log likelihood = -28701.478
Iteration 45: (EM) log likelihood = -28697.067
Iteration 46: (EM) log likelihood = -28692.692
Iteration 47: (EM) log likelihood = -28688.426
Iteration 48: (EM) log likelihood = -28684.851
Iteration 49: (EM) log likelihood = -28680.957
Iteration 50: (EM) log likelihood = -28677.462
Iteration 51: (EM) log likelihood = -28673.594
Iteration 52: (EM) log likelihood = -28670.641
Iteration 53: (EM) log likelihood = -28667.156
Iteration 54: (EM) log likelihood = -28663.951
Iteration 55: (EM) log likelihood = -28660.253
Iteration 56: (EM) log likelihood = -28657.604
Iteration 57: (EM) log likelihood = -28654.978
Iteration 58: (EM) log likelihood = -28652.046
Iteration 59: (EM) log likelihood = -28649.294
Iteration 60: (EM) log likelihood = -28646.755
Iteration 61: (EM) log likelihood = -28644.745
Iteration 62: (EM) log likelihood = -28643.201
Iteration 63: (EM) log likelihood = -28641.707
Iteration 64: (EM) log likelihood = -28640.424
Iteration 65: (EM) log likelihood = -28638.672
Iteration 66: (EM) log likelihood = -28637.166
Iteration 67: (EM) log likelihood = -28636.284
Iteration 68: (EM) log likelihood = -28635.798
Iteration 69: (EM) log likelihood = -28635.209
Iteration 70: (EM) log likelihood = -28634.426
Iteration 71: (EM) log likelihood = -28633.14
Iteration 72: (EM) log likelihood = -28632.17
Iteration 73: (EM) log likelihood = -28631.631
Iteration 74: (EM) log likelihood = -28630.482
Iteration 75: (EM) log likelihood = -28629.778
Iteration 76: (EM) log likelihood = -28628.893
Iteration 77: (EM) log likelihood = -28629.055
Iteration 78: (EM) log likelihood = -28627.182
Iteration 79: (EM) log likelihood = -28625.609
Iteration 80: (EM) log likelihood = -28624.812
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.4224
Iteration 1: (class) log likelihood = -6097.4224
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29606.824
Iteration 1: (outcome) log likelihood = -29183.022
Iteration 2: (outcome) log likelihood = -29136.85
Iteration 3: (outcome) log likelihood = -29122.985
Iteration 4: (outcome) log likelihood = -29119.912
Iteration 5: (outcome) log likelihood = -29119.278
Iteration 6: (outcome) log likelihood = -29119.15
Iteration 7: (outcome) log likelihood = -29119.119
Iteration 8: (outcome) log likelihood = -29119.112
Iteration 9: (outcome) log likelihood = -29119.111
Iteration 10: (outcome) log likelihood = -29119.11
Iteration 11: (outcome) log likelihood = -29119.11
Refining starting values:
Iteration 0: (EM) log likelihood = -35200.226
Iteration 1: (EM) log likelihood = -35129.557
Iteration 2: (EM) log likelihood = -34893.942
Iteration 3: (EM) log likelihood = -34301.163
Iteration 4: (EM) log likelihood = -33348.771
Iteration 5: (EM) log likelihood = -32293.328
Iteration 6: (EM) log likelihood = -31351.407
Iteration 7: (EM) log likelihood = -30684.209
Iteration 8: (EM) log likelihood = -30278.91
Iteration 9: (EM) log likelihood = -30024.585
Iteration 10: (EM) log likelihood = -29852.641
Iteration 11: (EM) log likelihood = -29732.894
Iteration 12: (EM) log likelihood = -29645.095
Iteration 13: (EM) log likelihood = -29579.212
Iteration 14: (EM) log likelihood = -29529.12
Iteration 15: (EM) log likelihood = -29487.193
Iteration 16: (EM) log likelihood = -29447.489
Iteration 17: (EM) log likelihood = -29401.443
Iteration 18: (EM) log likelihood = -29347.05
Iteration 19: (EM) log likelihood = -29285.867
Iteration 20: (EM) log likelihood = -29220.537
Iteration 21: (EM) log likelihood = -29164.977
Iteration 22: (EM) log likelihood = -29116.905
Iteration 23: (EM) log likelihood = -29074.696
Iteration 24: (EM) log likelihood = -29040.131
Iteration 25: (EM) log likelihood = -29010.45
Iteration 26: (EM) log likelihood = -28983.067
Iteration 27: (EM) log likelihood = -28959.572
Iteration 28: (EM) log likelihood = -28936.972
Iteration 29: (EM) log likelihood = -28916.604
Iteration 30: (EM) log likelihood = -28897.23
Iteration 31: (EM) log likelihood = -28876.852
Iteration 32: (EM) log likelihood = -28858.749
Iteration 33: (EM) log likelihood = -28840.598
Iteration 34: (EM) log likelihood = -28824.587
Iteration 35: (EM) log likelihood = -28808.721
Iteration 36: (EM) log likelihood = -28793.425
Iteration 37: (EM) log likelihood = -28777.439
Iteration 38: (EM) log likelihood = -28763.087
Iteration 39: (EM) log likelihood = -28749.403
Iteration 40: (EM) log likelihood = -28735.82
Iteration 41: (EM) log likelihood = -28723.153
Iteration 42: (EM) log likelihood = -28711.141
Iteration 43: (EM) log likelihood = -28700.36
Iteration 44: (EM) log likelihood = -28687.631
Iteration 45: (EM) log likelihood = -28678.856
Iteration 46: (EM) log likelihood = -28669.969
Iteration 47: (EM) log likelihood = -28662.515
Iteration 48: (EM) log likelihood = -28652.698
Iteration 49: (EM) log likelihood = -28643.724
Iteration 50: (EM) log likelihood = -28635.126
Iteration 51: (EM) log likelihood = -28628.19
Iteration 52: (EM) log likelihood = -28621.429
Iteration 53: (EM) log likelihood = -28615.227
Iteration 54: (EM) log likelihood = -28608.612
Iteration 55: (EM) log likelihood = -28603.15
Iteration 56: (EM) log likelihood = -28600.084
Iteration 57: (EM) log likelihood = -28593.079
Iteration 58: (EM) log likelihood = -28585.855
Iteration 59: (EM) log likelihood = -28580.818
Iteration 60: (EM) log likelihood = -28574.376
Iteration 61: (EM) log likelihood = -28569.185
Iteration 62: (EM) log likelihood = -28564.289
Iteration 63: (EM) log likelihood = -28559.719
Iteration 64: (EM) log likelihood = -28555.146
Iteration 65: (EM) log likelihood = -28550.364
Iteration 66: (EM) log likelihood = -28545.775
Iteration 67: (EM) log likelihood = -28540.801
Iteration 68: (EM) log likelihood = -28535.978
Iteration 69: (EM) log likelihood = -28532.473
Iteration 70: (EM) log likelihood = -28529.726
Iteration 71: (EM) log likelihood = -28527.365
Iteration 72: (EM) log likelihood = -28522.822
Iteration 73: (EM) log likelihood = -28518.432
Iteration 74: (EM) log likelihood = -28514.015
Iteration 75: (EM) log likelihood = -28509.741
Iteration 76: (EM) log likelihood = -28504.509
Iteration 77: (EM) log likelihood = -28501.684
Iteration 78: (EM) log likelihood = -28495.336
Iteration 79: (EM) log likelihood = -28491.676
Iteration 80: (EM) log likelihood = -28488.852
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.7562
Iteration 1: (class) log likelihood = -6097.7562
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29120.917
Iteration 1: (outcome) log likelihood = -29120.917
Refining starting values:
Iteration 0: (EM) log likelihood = -35176.124
Iteration 1: (EM) log likelihood = -34990.449
Iteration 2: (EM) log likelihood = -34321.896
Iteration 3: (EM) log likelihood = -33121.708
Iteration 4: (EM) log likelihood = -32190.37
Iteration 5: (EM) log likelihood = -31645.878
Iteration 6: (EM) log likelihood = -31292.073
Iteration 7: (EM) log likelihood = -31042.249
Iteration 8: (EM) log likelihood = -30844.236
Iteration 9: (EM) log likelihood = -30662.501
Iteration 10: (EM) log likelihood = -30482.106
Iteration 11: (EM) log likelihood = -30304.682
Iteration 12: (EM) log likelihood = -30138.773
Iteration 13: (EM) log likelihood = -29991.355
Iteration 14: (EM) log likelihood = -29863.979
Iteration 15: (EM) log likelihood = -29758.792
Iteration 16: (EM) log likelihood = -29673.436
Iteration 17: (EM) log likelihood = -29604.811
Iteration 18: (EM) log likelihood = -29546.783
Iteration 19: (EM) log likelihood = -29500.585
Iteration 20: (EM) log likelihood = -29461.35
Iteration 21: (EM) log likelihood = -29427.931
Iteration 22: (EM) log likelihood = -29399.214
Iteration 23: (EM) log likelihood = -29373.23
Iteration 24: (EM) log likelihood = -29350.866
Iteration 25: (EM) log likelihood = -29329.702
Iteration 26: (EM) log likelihood = -29310.7
Iteration 27: (EM) log likelihood = -29293.661
Iteration 28: (EM) log likelihood = -29277.681
Iteration 29: (EM) log likelihood = -29262.379
Iteration 30: (EM) log likelihood = -29248.339
Iteration 31: (EM) log likelihood = -29235.588
Iteration 32: (EM) log likelihood = -29223.465
Iteration 33: (EM) log likelihood = -29212.821
Iteration 34: (EM) log likelihood = -29202.592
Iteration 35: (EM) log likelihood = -29193.724
Iteration 36: (EM) log likelihood = -29185.904
Iteration 37: (EM) log likelihood = -29178.866
Iteration 38: (EM) log likelihood = -29172.481
Iteration 39: (EM) log likelihood = -29166.938
Iteration 40: (EM) log likelihood = -29162.402
Iteration 41: (EM) log likelihood = -29158.12
Iteration 42: (EM) log likelihood = -29154.273
Iteration 43: (EM) log likelihood = -29150.385
Iteration 44: (EM) log likelihood = -29146.874
Iteration 45: (EM) log likelihood = -29142.697
Iteration 46: (EM) log likelihood = -29139.905
Iteration 47: (EM) log likelihood = -29137.496
Iteration 48: (EM) log likelihood = -29135.032
Iteration 49: (EM) log likelihood = -29132.318
Iteration 50: (EM) log likelihood = -29130.09
Iteration 51: (EM) log likelihood = -29128.247
Iteration 52: (EM) log likelihood = -29126.096
Iteration 53: (EM) log likelihood = -29124.34
Iteration 54: (EM) log likelihood = -29122.862
Iteration 55: (EM) log likelihood = -29121.628
Iteration 56: (EM) log likelihood = -29120.568
Iteration 57: (EM) log likelihood = -29119.674
Iteration 58: (EM) log likelihood = -29118.921
Iteration 59: (EM) log likelihood = -29118.327
Iteration 60: (EM) log likelihood = -29117.979
Iteration 61: (EM) log likelihood = -29117.714
Iteration 62: (EM) log likelihood = -29117.399
Iteration 63: (EM) log likelihood = -29117.135
Iteration 64: (EM) log likelihood = -29116.909
Iteration 65: (EM) log likelihood = -29116.713
Iteration 66: (EM) log likelihood = -29116.049
Iteration 67: (EM) log likelihood = -29114.994
Iteration 68: (EM) log likelihood = -29113.665
Iteration 69: (EM) log likelihood = -29111.575
Iteration 70: (EM) log likelihood = -29109.087
Iteration 71: (EM) log likelihood = -29105.723
Iteration 72: (EM) log likelihood = -29101.385
Iteration 73: (EM) log likelihood = -29096.567
Iteration 74: (EM) log likelihood = -29091.075
Iteration 75: (EM) log likelihood = -29084.763
Iteration 76: (EM) log likelihood = -29078.78
Iteration 77: (EM) log likelihood = -29071.734
Iteration 78: (EM) log likelihood = -29064.602
Iteration 79: (EM) log likelihood = -29056.72
Iteration 80: (EM) log likelihood = -29048.399
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.8715
Iteration 1: (class) log likelihood = -6096.8715
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29341.162
Iteration 1: (outcome) log likelihood = -29178.51
Iteration 2: (outcome) log likelihood = -29131.21
Iteration 3: (outcome) log likelihood = -29122.485
Iteration 4: (outcome) log likelihood = -29120.813
Iteration 5: (outcome) log likelihood = -29120.454
Iteration 6: (outcome) log likelihood = -29120.37
Iteration 7: (outcome) log likelihood = -29120.35
Iteration 8: (outcome) log likelihood = -29120.346
Iteration 9: (outcome) log likelihood = -29120.346
Iteration 10: (outcome) log likelihood = -29120.345
Iteration 11: (outcome) log likelihood = -29120.345
Refining starting values:
Iteration 0: (EM) log likelihood = -35203.602
Iteration 1: (EM) log likelihood = -35149.061
Iteration 2: (EM) log likelihood = -34968.173
Iteration 3: (EM) log likelihood = -34460.463
Iteration 4: (EM) log likelihood = -33504.683
Iteration 5: (EM) log likelihood = -32473.902
Iteration 6: (EM) log likelihood = -31739.132
Iteration 7: (EM) log likelihood = -31249.909
Iteration 8: (EM) log likelihood = -30894.247
Iteration 9: (EM) log likelihood = -30606.331
Iteration 10: (EM) log likelihood = -30361.185
Iteration 11: (EM) log likelihood = -30143.71
Iteration 12: (EM) log likelihood = -29936.183
Iteration 13: (EM) log likelihood = -29732.813
Iteration 14: (EM) log likelihood = -29549.022
Iteration 15: (EM) log likelihood = -29398.518
Iteration 16: (EM) log likelihood = -29283.864
Iteration 17: (EM) log likelihood = -29200.74
Iteration 18: (EM) log likelihood = -29133.952
Iteration 19: (EM) log likelihood = -29079.547
Iteration 20: (EM) log likelihood = -29037.49
Iteration 21: (EM) log likelihood = -29002.742
Iteration 22: (EM) log likelihood = -28976.189
Iteration 23: (EM) log likelihood = -28952.393
Iteration 24: (EM) log likelihood = -28934.628
Iteration 25: (EM) log likelihood = -28920.699
Iteration 26: (EM) log likelihood = -28905.569
Iteration 27: (EM) log likelihood = -28892.906
Iteration 28: (EM) log likelihood = -28880.16
Iteration 29: (EM) log likelihood = -28868.677
Iteration 30: (EM) log likelihood = -28858.72
Iteration 31: (EM) log likelihood = -28848.057
Iteration 32: (EM) log likelihood = -28838.4
Iteration 33: (EM) log likelihood = -28831.019
Iteration 34: (EM) log likelihood = -28823.065
Iteration 35: (EM) log likelihood = -28815.185
Iteration 36: (EM) log likelihood = -28806.9
Iteration 37: (EM) log likelihood = -28797.326
Iteration 38: (EM) log likelihood = -28791.382
Iteration 39: (EM) log likelihood = -28784.391
Iteration 40: (EM) log likelihood = -28778.242
Iteration 41: (EM) log likelihood = -28772.214
Iteration 42: (EM) log likelihood = -28766.667
Iteration 43: (EM) log likelihood = -28761.335
Iteration 44: (EM) log likelihood = -28756.376
Iteration 45: (EM) log likelihood = -28751.402
Iteration 46: (EM) log likelihood = -28746.126
Iteration 47: (EM) log likelihood = -28740.852
Iteration 48: (EM) log likelihood = -28736.068
Iteration 49: (EM) log likelihood = -28731.678
Iteration 50: (EM) log likelihood = -28727.8
Iteration 51: (EM) log likelihood = -28724.392
Iteration 52: (EM) log likelihood = -28720.741
Iteration 53: (EM) log likelihood = -28717.143
Iteration 54: (EM) log likelihood = -28713.896
Iteration 55: (EM) log likelihood = -28711.764
Iteration 56: (EM) log likelihood = -28707.096
Iteration 57: (EM) log likelihood = -28704.507
Iteration 58: (EM) log likelihood = -28702.024
Iteration 59: (EM) log likelihood = -28699.767
Iteration 60: (EM) log likelihood = -28696.598
Iteration 61: (EM) log likelihood = -28694.472
Iteration 62: (EM) log likelihood = -28692.886
Iteration 63: (EM) log likelihood = -28690.69
Iteration 64: (EM) log likelihood = -28688.606
Iteration 65: (EM) log likelihood = -28687.107
Iteration 66: (EM) log likelihood = -28685.232
Iteration 67: (EM) log likelihood = -28683.442
Iteration 68: (EM) log likelihood = -28682
Iteration 69: (EM) log likelihood = -28680.634
Iteration 70: (EM) log likelihood = -28679.159
Iteration 71: (EM) log likelihood = -28678.653
Iteration 72: (EM) log likelihood = -28677.298
Iteration 73: (EM) log likelihood = -28676.19
Iteration 74: (EM) log likelihood = -28675.027
Iteration 75: (EM) log likelihood = -28674.261
Iteration 76: (EM) log likelihood = -28673.551
Iteration 77: (EM) log likelihood = -28672.725
Iteration 78: (EM) log likelihood = -28671.935
Iteration 79: (EM) log likelihood = -28671.268
Iteration 80: (EM) log likelihood = -28670.324
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.645
Iteration 1: (class) log likelihood = -6097.645
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29125.314
Iteration 1: (outcome) log likelihood = -29125.314
Refining starting values:
Iteration 0: (EM) log likelihood = -35218.317
Iteration 1: (EM) log likelihood = -35183.884
Iteration 2: (EM) log likelihood = -35052.439
Iteration 3: (EM) log likelihood = -34630.009
Iteration 4: (EM) log likelihood = -33772.004
Iteration 5: (EM) log likelihood = -32870.298
Iteration 6: (EM) log likelihood = -32212.935
Iteration 7: (EM) log likelihood = -31688.032
Iteration 8: (EM) log likelihood = -31193.18
Iteration 9: (EM) log likelihood = -30754.587
Iteration 10: (EM) log likelihood = -30432.029
Iteration 11: (EM) log likelihood = -30225.489
Iteration 12: (EM) log likelihood = -30094.806
Iteration 13: (EM) log likelihood = -30002.04
Iteration 14: (EM) log likelihood = -29923.988
Iteration 15: (EM) log likelihood = -29850.942
Iteration 16: (EM) log likelihood = -29781.192
Iteration 17: (EM) log likelihood = -29716.493
Iteration 18: (EM) log likelihood = -29658.936
Iteration 19: (EM) log likelihood = -29609.084
Iteration 20: (EM) log likelihood = -29566.994
Iteration 21: (EM) log likelihood = -29530.621
Iteration 22: (EM) log likelihood = -29499.458
Iteration 23: (EM) log likelihood = -29471.844
Iteration 24: (EM) log likelihood = -29445.83
Iteration 25: (EM) log likelihood = -29420.911
Iteration 26: (EM) log likelihood = -29396.98
Iteration 27: (EM) log likelihood = -29374.182
Iteration 28: (EM) log likelihood = -29352.642
Iteration 29: (EM) log likelihood = -29332.394
Iteration 30: (EM) log likelihood = -29313.165
Iteration 31: (EM) log likelihood = -29296.557
Iteration 32: (EM) log likelihood = -29281.444
Iteration 33: (EM) log likelihood = -29267.641
Iteration 34: (EM) log likelihood = -29255.289
Iteration 35: (EM) log likelihood = -29244.293
Iteration 36: (EM) log likelihood = -29234.117
Iteration 37: (EM) log likelihood = -29224.456
Iteration 38: (EM) log likelihood = -29215.979
Iteration 39: (EM) log likelihood = -29208.389
Iteration 40: (EM) log likelihood = -29201.107
Iteration 41: (EM) log likelihood = -29194.308
Iteration 42: (EM) log likelihood = -29188.112
Iteration 43: (EM) log likelihood = -29182.278
Iteration 44: (EM) log likelihood = -29176.99
Iteration 45: (EM) log likelihood = -29171.907
Iteration 46: (EM) log likelihood = -29167.028
Iteration 47: (EM) log likelihood = -29162.517
Iteration 48: (EM) log likelihood = -29158.188
Iteration 49: (EM) log likelihood = -29154.042
Iteration 50: (EM) log likelihood = -29150.045
Iteration 51: (EM) log likelihood = -29146.173
Iteration 52: (EM) log likelihood = -29142.497
Iteration 53: (EM) log likelihood = -29138.711
Iteration 54: (EM) log likelihood = -29135.064
Iteration 55: (EM) log likelihood = -29131.561
Iteration 56: (EM) log likelihood = -29128.197
Iteration 57: (EM) log likelihood = -29124.564
Iteration 58: (EM) log likelihood = -29120.737
Iteration 59: (EM) log likelihood = -29117.258
Iteration 60: (EM) log likelihood = -29114.153
Iteration 61: (EM) log likelihood = -29110.254
Iteration 62: (EM) log likelihood = -29107.289
Iteration 63: (EM) log likelihood = -29103.877
Iteration 64: (EM) log likelihood = -29100.389
Iteration 65: (EM) log likelihood = -29096.534
Iteration 66: (EM) log likelihood = -29092.505
Iteration 67: (EM) log likelihood = -29088.127
Iteration 68: (EM) log likelihood = -29083.758
Iteration 69: (EM) log likelihood = -29078.698
Iteration 70: (EM) log likelihood = -29073.162
Iteration 71: (EM) log likelihood = -29067.014
Iteration 72: (EM) log likelihood = -29060.257
Iteration 73: (EM) log likelihood = -29052.383
Iteration 74: (EM) log likelihood = -29043.992
Iteration 75: (EM) log likelihood = -29033.115
Iteration 76: (EM) log likelihood = -29022.948
Iteration 77: (EM) log likelihood = -29011.006
Iteration 78: (EM) log likelihood = -28998.728
Iteration 79: (EM) log likelihood = -28985.683
Iteration 80: (EM) log likelihood = -28971.389
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.3394
Iteration 1: (class) log likelihood = -6096.3394
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29375.923
Iteration 1: (outcome) log likelihood = -29194.162
Iteration 2: (outcome) log likelihood = -29130.974
Iteration 3: (outcome) log likelihood = -29121.585
Iteration 4: (outcome) log likelihood = -29120.189
Iteration 5: (outcome) log likelihood = -29120.026
Iteration 6: (outcome) log likelihood = -29119.994
Iteration 7: (outcome) log likelihood = -29119.987
Iteration 8: (outcome) log likelihood = -29119.986
Iteration 9: (outcome) log likelihood = -29119.985
Iteration 10: (outcome) log likelihood = -29119.985
Iteration 11: (outcome) log likelihood = -29119.985
Refining starting values:
Iteration 0: (EM) log likelihood = -35188.332
Iteration 1: (EM) log likelihood = -35087.217
Iteration 2: (EM) log likelihood = -34793.871
Iteration 3: (EM) log likelihood = -34171.052
Iteration 4: (EM) log likelihood = -33251.988
Iteration 5: (EM) log likelihood = -32268.227
Iteration 6: (EM) log likelihood = -31490.594
Iteration 7: (EM) log likelihood = -30949.748
Iteration 8: (EM) log likelihood = -30564.471
Iteration 9: (EM) log likelihood = -30282.859
Iteration 10: (EM) log likelihood = -30075.368
Iteration 11: (EM) log likelihood = -29919.368
Iteration 12: (EM) log likelihood = -29801.826
Iteration 13: (EM) log likelihood = -29706.317
Iteration 14: (EM) log likelihood = -29626.12
Iteration 15: (EM) log likelihood = -29558.922
Iteration 16: (EM) log likelihood = -29498.21
Iteration 17: (EM) log likelihood = -29444.281
Iteration 18: (EM) log likelihood = -29393.214
Iteration 19: (EM) log likelihood = -29343.464
Iteration 20: (EM) log likelihood = -29299.098
Iteration 21: (EM) log likelihood = -29258.934
Iteration 22: (EM) log likelihood = -29216.61
Iteration 23: (EM) log likelihood = -29180.177
Iteration 24: (EM) log likelihood = -29145.213
Iteration 25: (EM) log likelihood = -29111.068
Iteration 26: (EM) log likelihood = -29079.456
Iteration 27: (EM) log likelihood = -29048.279
Iteration 28: (EM) log likelihood = -29016.612
Iteration 29: (EM) log likelihood = -28987.676
Iteration 30: (EM) log likelihood = -28960.217
Iteration 31: (EM) log likelihood = -28934.577
Iteration 32: (EM) log likelihood = -28909.369
Iteration 33: (EM) log likelihood = -28887.055
Iteration 34: (EM) log likelihood = -28864.945
Iteration 35: (EM) log likelihood = -28843.981
Iteration 36: (EM) log likelihood = -28824.411
Iteration 37: (EM) log likelihood = -28805.753
Iteration 38: (EM) log likelihood = -28787.985
Iteration 39: (EM) log likelihood = -28771.106
Iteration 40: (EM) log likelihood = -28754.878
Iteration 41: (EM) log likelihood = -28739.302
Iteration 42: (EM) log likelihood = -28724.174
Iteration 43: (EM) log likelihood = -28708.764
Iteration 44: (EM) log likelihood = -28695.279
Iteration 45: (EM) log likelihood = -28682.004
Iteration 46: (EM) log likelihood = -28669.149
Iteration 47: (EM) log likelihood = -28656.846
Iteration 48: (EM) log likelihood = -28644.791
Iteration 49: (EM) log likelihood = -28633.811
Iteration 50: (EM) log likelihood = -28623.373
Iteration 51: (EM) log likelihood = -28613.281
Iteration 52: (EM) log likelihood = -28603.005
Iteration 53: (EM) log likelihood = -28593.452
Iteration 54: (EM) log likelihood = -28584.236
Iteration 55: (EM) log likelihood = -28574.72
Iteration 56: (EM) log likelihood = -28567.393
Iteration 57: (EM) log likelihood = -28559.669
Iteration 58: (EM) log likelihood = -28551.659
Iteration 59: (EM) log likelihood = -28544.168
Iteration 60: (EM) log likelihood = -28536.885
Iteration 61: (EM) log likelihood = -28530.955
Iteration 62: (EM) log likelihood = -28525.029
Iteration 63: (EM) log likelihood = -28519.352
Iteration 64: (EM) log likelihood = -28514.225
Iteration 65: (EM) log likelihood = -28508.177
Iteration 66: (EM) log likelihood = -28503.606
Iteration 67: (EM) log likelihood = -28498.698
Iteration 68: (EM) log likelihood = -28493.922
Iteration 69: (EM) log likelihood = -28488.319
Iteration 70: (EM) log likelihood = -28482.894
Iteration 71: (EM) log likelihood = -28476.045
Iteration 72: (EM) log likelihood = -28472.297
Iteration 73: (EM) log likelihood = -28470.509
Iteration 74: (EM) log likelihood = -28467.393
Iteration 75: (EM) log likelihood = -28463.487
Iteration 76: (EM) log likelihood = -28459.237
Iteration 77: (EM) log likelihood = -28455.732
Iteration 78: (EM) log likelihood = -28451.293
Iteration 79: (EM) log likelihood = -28446.985
Iteration 80: (EM) log likelihood = -28442.089
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6093.3163
Iteration 1: (class) log likelihood = -6093.3163
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29769.505
Iteration 1: (outcome) log likelihood = -29268.611
Iteration 2: (outcome) log likelihood = -29155.8
Iteration 3: (outcome) log likelihood = -29137.087
Iteration 4: (outcome) log likelihood = -29133.606
Iteration 5: (outcome) log likelihood = -29132.832
Iteration 6: (outcome) log likelihood = -29132.652
Iteration 7: (outcome) log likelihood = -29132.611
Iteration 8: (outcome) log likelihood = -29132.602
Iteration 9: (outcome) log likelihood = -29132.6
Iteration 10: (outcome) log likelihood = -29132.6
Iteration 11: (outcome) log likelihood = -29132.6
Iteration 12: (outcome) log likelihood = -29132.6
Refining starting values:
Iteration 0: (EM) log likelihood = -35218.455
Iteration 1: (EM) log likelihood = -35180.811
Iteration 2: (EM) log likelihood = -35062.07
Iteration 3: (EM) log likelihood = -34761.058
Iteration 4: (EM) log likelihood = -34212.73
Iteration 5: (EM) log likelihood = -33499.424
Iteration 6: (EM) log likelihood = -32767.244
Iteration 7: (EM) log likelihood = -32062.673
Iteration 8: (EM) log likelihood = -31370.497
Iteration 9: (EM) log likelihood = -30753.438
Iteration 10: (EM) log likelihood = -30285.964
Iteration 11: (EM) log likelihood = -29949.623
Iteration 12: (EM) log likelihood = -29715.784
Iteration 13: (EM) log likelihood = -29545.317
Iteration 14: (EM) log likelihood = -29417.587
Iteration 15: (EM) log likelihood = -29322.751
Iteration 16: (EM) log likelihood = -29251.078
Iteration 17: (EM) log likelihood = -29192.866
Iteration 18: (EM) log likelihood = -29141.28
Iteration 19: (EM) log likelihood = -29089.692
Iteration 20: (EM) log likelihood = -29042.141
Iteration 21: (EM) log likelihood = -28997.747
Iteration 22: (EM) log likelihood = -28956.791
Iteration 23: (EM) log likelihood = -28920.16
Iteration 24: (EM) log likelihood = -28887.966
Iteration 25: (EM) log likelihood = -28860.539
Iteration 26: (EM) log likelihood = -28837.572
Iteration 27: (EM) log likelihood = -28816.547
Iteration 28: (EM) log likelihood = -28801.221
Iteration 29: (EM) log likelihood = -28788.019
Iteration 30: (EM) log likelihood = -28777.953
Iteration 31: (EM) log likelihood = -28769.499
Iteration 32: (EM) log likelihood = -28762.74
Iteration 33: (EM) log likelihood = -28756.712
Iteration 34: (EM) log likelihood = -28751.67
Iteration 35: (EM) log likelihood = -28747.604
Iteration 36: (EM) log likelihood = -28743.857
Iteration 37: (EM) log likelihood = -28740.155
Iteration 38: (EM) log likelihood = -28736.089
Iteration 39: (EM) log likelihood = -28731.936
Iteration 40: (EM) log likelihood = -28726.633
Iteration 41: (EM) log likelihood = -28721.514
Iteration 42: (EM) log likelihood = -28716.124
Iteration 43: (EM) log likelihood = -28710.447
Iteration 44: (EM) log likelihood = -28705.196
Iteration 45: (EM) log likelihood = -28699.646
Iteration 46: (EM) log likelihood = -28694.159
Iteration 47: (EM) log likelihood = -28689.54
Iteration 48: (EM) log likelihood = -28684.757
Iteration 49: (EM) log likelihood = -28680.098
Iteration 50: (EM) log likelihood = -28675.303
Iteration 51: (EM) log likelihood = -28670.888
Iteration 52: (EM) log likelihood = -28666.193
Iteration 53: (EM) log likelihood = -28661.92
Iteration 54: (EM) log likelihood = -28657.668
Iteration 55: (EM) log likelihood = -28653.428
Iteration 56: (EM) log likelihood = -28649.32
Iteration 57: (EM) log likelihood = -28645.254
Iteration 58: (EM) log likelihood = -28641.236
Iteration 59: (EM) log likelihood = -28637.053
Iteration 60: (EM) log likelihood = -28633.056
Iteration 61: (EM) log likelihood = -28629.174
Iteration 62: (EM) log likelihood = -28625.303
Iteration 63: (EM) log likelihood = -28621.407
Iteration 64: (EM) log likelihood = -28617.68
Iteration 65: (EM) log likelihood = -28613.793
Iteration 66: (EM) log likelihood = -28610.149
Iteration 67: (EM) log likelihood = -28606.408
Iteration 68: (EM) log likelihood = -28602.591
Iteration 69: (EM) log likelihood = -28598.981
Iteration 70: (EM) log likelihood = -28595.209
Iteration 71: (EM) log likelihood = -28591.628
Iteration 72: (EM) log likelihood = -28587.89
Iteration 73: (EM) log likelihood = -28584.362
Iteration 74: (EM) log likelihood = -28580.926
Iteration 75: (EM) log likelihood = -28577.485
Iteration 76: (EM) log likelihood = -28574.003
Iteration 77: (EM) log likelihood = -28570.477
Iteration 78: (EM) log likelihood = -28567.059
Iteration 79: (EM) log likelihood = -28563.678
Iteration 80: (EM) log likelihood = -28560.318
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.608
Iteration 1: (class) log likelihood = -6097.608
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29134.767
Iteration 1: (outcome) log likelihood = -29134.767
Refining starting values:
Iteration 0: (EM) log likelihood = -35206.091
Iteration 1: (EM) log likelihood = -35102.544
Iteration 2: (EM) log likelihood = -34768.368
Iteration 3: (EM) log likelihood = -34034.455
Iteration 4: (EM) log likelihood = -33097.42
Iteration 5: (EM) log likelihood = -32271.044
Iteration 6: (EM) log likelihood = -31578.936
Iteration 7: (EM) log likelihood = -30967.191
Iteration 8: (EM) log likelihood = -30450.41
Iteration 9: (EM) log likelihood = -30061.339
Iteration 10: (EM) log likelihood = -29794.994
Iteration 11: (EM) log likelihood = -29618.797
Iteration 12: (EM) log likelihood = -29503.186
Iteration 13: (EM) log likelihood = -29422.795
Iteration 14: (EM) log likelihood = -29367.397
Iteration 15: (EM) log likelihood = -29324.278
Iteration 16: (EM) log likelihood = -29291.995
Iteration 17: (EM) log likelihood = -29267.054
Iteration 18: (EM) log likelihood = -29246.174
Iteration 19: (EM) log likelihood = -29227.308
Iteration 20: (EM) log likelihood = -29210.821
Iteration 21: (EM) log likelihood = -29197.077
Iteration 22: (EM) log likelihood = -29183.5
Iteration 23: (EM) log likelihood = -29171.886
Iteration 24: (EM) log likelihood = -29161.808
Iteration 25: (EM) log likelihood = -29151.51
Iteration 26: (EM) log likelihood = -29141.603
Iteration 27: (EM) log likelihood = -29133.026
Iteration 28: (EM) log likelihood = -29124.6
Iteration 29: (EM) log likelihood = -29116.603
Iteration 30: (EM) log likelihood = -29109.08
Iteration 31: (EM) log likelihood = -29102.405
Iteration 32: (EM) log likelihood = -29095.961
Iteration 33: (EM) log likelihood = -29088.585
Iteration 34: (EM) log likelihood = -29082.275
Iteration 35: (EM) log likelihood = -29077.006
Iteration 36: (EM) log likelihood = -29070.277
Iteration 37: (EM) log likelihood = -29064.598
Iteration 38: (EM) log likelihood = -29058.988
Iteration 39: (EM) log likelihood = -29054.291
Iteration 40: (EM) log likelihood = -29048.499
Iteration 41: (EM) log likelihood = -29042.728
Iteration 42: (EM) log likelihood = -29037.657
Iteration 43: (EM) log likelihood = -29032.471
Iteration 44: (EM) log likelihood = -29026.702
Iteration 45: (EM) log likelihood = -29020.991
Iteration 46: (EM) log likelihood = -29016.034
Iteration 47: (EM) log likelihood = -29010.217
Iteration 48: (EM) log likelihood = -29005.301
Iteration 49: (EM) log likelihood = -28999.785
Iteration 50: (EM) log likelihood = -28994.9
Iteration 51: (EM) log likelihood = -28990.63
Iteration 52: (EM) log likelihood = -28985.233
Iteration 53: (EM) log likelihood = -28979.724
Iteration 54: (EM) log likelihood = -28974.519
Iteration 55: (EM) log likelihood = -28968.306
Iteration 56: (EM) log likelihood = -28964.091
Iteration 57: (EM) log likelihood = -28958.845
Iteration 58: (EM) log likelihood = -28954.15
Iteration 59: (EM) log likelihood = -28948.792
Iteration 60: (EM) log likelihood = -28943.43
Iteration 61: (EM) log likelihood = -28938.502
Iteration 62: (EM) log likelihood = -28934.062
Iteration 63: (EM) log likelihood = -28929.306
Iteration 64: (EM) log likelihood = -28924.171
Iteration 65: (EM) log likelihood = -28919.959
Iteration 66: (EM) log likelihood = -28914.897
Iteration 67: (EM) log likelihood = -28909.24
Iteration 68: (EM) log likelihood = -28904.043
Iteration 69: (EM) log likelihood = -28898.979
Iteration 70: (EM) log likelihood = -28894.012
Iteration 71: (EM) log likelihood = -28888.861
Iteration 72: (EM) log likelihood = -28883.092
Iteration 73: (EM) log likelihood = -28877.982
Iteration 74: (EM) log likelihood = -28872.095
Iteration 75: (EM) log likelihood = -28868.283
Iteration 76: (EM) log likelihood = -28863.985
Iteration 77: (EM) log likelihood = -28858.57
Iteration 78: (EM) log likelihood = -28854.322
Iteration 79: (EM) log likelihood = -28849.916
Iteration 80: (EM) log likelihood = -28845.552
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.2605
Iteration 1: (class) log likelihood = -6097.2605
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29544.365
Iteration 1: (outcome) log likelihood = -29203.45
Iteration 2: (outcome) log likelihood = -29134.335
Iteration 3: (outcome) log likelihood = -29124.38
Iteration 4: (outcome) log likelihood = -29122.094
Iteration 5: (outcome) log likelihood = -29121.587
Iteration 6: (outcome) log likelihood = -29121.474
Iteration 7: (outcome) log likelihood = -29121.457
Iteration 8: (outcome) log likelihood = -29121.454
Iteration 9: (outcome) log likelihood = -29121.454
Iteration 10: (outcome) log likelihood = -29121.454
Iteration 11: (outcome) log likelihood = -29121.454
Refining starting values:
Iteration 0: (EM) log likelihood = -35199.543
Iteration 1: (EM) log likelihood = -35134.67
Iteration 2: (EM) log likelihood = -34925.635
Iteration 3: (EM) log likelihood = -34304.043
Iteration 4: (EM) log likelihood = -33153.867
Iteration 5: (EM) log likelihood = -32085.31
Iteration 6: (EM) log likelihood = -31427.955
Iteration 7: (EM) log likelihood = -31023.525
Iteration 8: (EM) log likelihood = -30747.551
Iteration 9: (EM) log likelihood = -30522.058
Iteration 10: (EM) log likelihood = -30334.809
Iteration 11: (EM) log likelihood = -30175.595
Iteration 12: (EM) log likelihood = -30039.198
Iteration 13: (EM) log likelihood = -29922.52
Iteration 14: (EM) log likelihood = -29824.605
Iteration 15: (EM) log likelihood = -29738.839
Iteration 16: (EM) log likelihood = -29665.512
Iteration 17: (EM) log likelihood = -29604.665
Iteration 18: (EM) log likelihood = -29556.801
Iteration 19: (EM) log likelihood = -29518.072
Iteration 20: (EM) log likelihood = -29485.86
Iteration 21: (EM) log likelihood = -29457.963
Iteration 22: (EM) log likelihood = -29434
Iteration 23: (EM) log likelihood = -29412.426
Iteration 24: (EM) log likelihood = -29394.113
Iteration 25: (EM) log likelihood = -29377.041
Iteration 26: (EM) log likelihood = -29359.681
Iteration 27: (EM) log likelihood = -29342.404
Iteration 28: (EM) log likelihood = -29326.54
Iteration 29: (EM) log likelihood = -29310.832
Iteration 30: (EM) log likelihood = -29296.786
Iteration 31: (EM) log likelihood = -29281.648
Iteration 32: (EM) log likelihood = -29266.301
Iteration 33: (EM) log likelihood = -29251.565
Iteration 34: (EM) log likelihood = -29238.387
Iteration 35: (EM) log likelihood = -29224.965
Iteration 36: (EM) log likelihood = -29212.706
Iteration 37: (EM) log likelihood = -29200.406
Iteration 38: (EM) log likelihood = -29188.27
Iteration 39: (EM) log likelihood = -29176.327
Iteration 40: (EM) log likelihood = -29163.826
Iteration 41: (EM) log likelihood = -29153.156
Iteration 42: (EM) log likelihood = -29142.225
Iteration 43: (EM) log likelihood = -29129.226
Iteration 44: (EM) log likelihood = -29116.424
Iteration 45: (EM) log likelihood = -29104.039
Iteration 46: (EM) log likelihood = -29089.492
Iteration 47: (EM) log likelihood = -29074.281
Iteration 48: (EM) log likelihood = -29057.249
Iteration 49: (EM) log likelihood = -29037.779
Iteration 50: (EM) log likelihood = -29016.965
Iteration 51: (EM) log likelihood = -28994.56
Iteration 52: (EM) log likelihood = -28970.029
Iteration 53: (EM) log likelihood = -28942.287
Iteration 54: (EM) log likelihood = -28914.842
Iteration 55: (EM) log likelihood = -28884.306
Iteration 56: (EM) log likelihood = -28852.486
Iteration 57: (EM) log likelihood = -28818.32
Iteration 58: (EM) log likelihood = -28783.821
Iteration 59: (EM) log likelihood = -28749.689
Iteration 60: (EM) log likelihood = -28715.586
Iteration 61: (EM) log likelihood = -28681.388
Iteration 62: (EM) log likelihood = -28648.936
Iteration 63: (EM) log likelihood = -28618.796
Iteration 64: (EM) log likelihood = -28590.614
Iteration 65: (EM) log likelihood = -28564.469
Iteration 66: (EM) log likelihood = -28541.084
Iteration 67: (EM) log likelihood = -28520.191
Iteration 68: (EM) log likelihood = -28501.236
Iteration 69: (EM) log likelihood = -28484.781
Iteration 70: (EM) log likelihood = -28470.256
Iteration 71: (EM) log likelihood = -28457.669
Iteration 72: (EM) log likelihood = -28446.867
Iteration 73: (EM) log likelihood = -28437.862
Iteration 74: (EM) log likelihood = -28431.362
Iteration 75: (EM) log likelihood = -28424.768
Iteration 76: (EM) log likelihood = -28423.486
Iteration 77: (EM) log likelihood = -28418.211
Iteration 78: (EM) log likelihood = -28413.508
Iteration 79: (EM) log likelihood = -28409.474
Iteration 80: (EM) log likelihood = -28405.368
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.5423
Iteration 1: (class) log likelihood = -6096.5423
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29132.514
Iteration 1: (outcome) log likelihood = -29132.514
Refining starting values:
Iteration 0: (EM) log likelihood = -35217.071
Iteration 1: (EM) log likelihood = -35172.244
Iteration 2: (EM) log likelihood = -35033.065
Iteration 3: (EM) log likelihood = -34640.483
Iteration 4: (EM) log likelihood = -33853.332
Iteration 5: (EM) log likelihood = -32883.733
Iteration 6: (EM) log likelihood = -32043.398
Iteration 7: (EM) log likelihood = -31400.15
Iteration 8: (EM) log likelihood = -30881.567
Iteration 9: (EM) log likelihood = -30424.051
Iteration 10: (EM) log likelihood = -30036.439
Iteration 11: (EM) log likelihood = -29742.969
Iteration 12: (EM) log likelihood = -29534.696
Iteration 13: (EM) log likelihood = -29387.025
Iteration 14: (EM) log likelihood = -29279.799
Iteration 15: (EM) log likelihood = -29201.086
Iteration 16: (EM) log likelihood = -29140.114
Iteration 17: (EM) log likelihood = -29091.123
Iteration 18: (EM) log likelihood = -29051.264
Iteration 19: (EM) log likelihood = -29017.977
Iteration 20: (EM) log likelihood = -28989.021
Iteration 21: (EM) log likelihood = -28962.7
Iteration 22: (EM) log likelihood = -28938.878
Iteration 23: (EM) log likelihood = -28916.707
Iteration 24: (EM) log likelihood = -28896.64
Iteration 25: (EM) log likelihood = -28879.434
Iteration 26: (EM) log likelihood = -28863.981
Iteration 27: (EM) log likelihood = -28850.522
Iteration 28: (EM) log likelihood = -28839.18
Iteration 29: (EM) log likelihood = -28830.041
Iteration 30: (EM) log likelihood = -28822.208
Iteration 31: (EM) log likelihood = -28815.108
Iteration 32: (EM) log likelihood = -28808.947
Iteration 33: (EM) log likelihood = -28803.783
Iteration 34: (EM) log likelihood = -28799.119
Iteration 35: (EM) log likelihood = -28794.987
Iteration 36: (EM) log likelihood = -28791.094
Iteration 37: (EM) log likelihood = -28787.319
Iteration 38: (EM) log likelihood = -28783.536
Iteration 39: (EM) log likelihood = -28780.025
Iteration 40: (EM) log likelihood = -28776.36
Iteration 41: (EM) log likelihood = -28773.089
Iteration 42: (EM) log likelihood = -28769.716
Iteration 43: (EM) log likelihood = -28766.24
Iteration 44: (EM) log likelihood = -28762.89
Iteration 45: (EM) log likelihood = -28759.072
Iteration 46: (EM) log likelihood = -28755.689
Iteration 47: (EM) log likelihood = -28751.96
Iteration 48: (EM) log likelihood = -28748.526
Iteration 49: (EM) log likelihood = -28744.676
Iteration 50: (EM) log likelihood = -28741.06
Iteration 51: (EM) log likelihood = -28737.204
Iteration 52: (EM) log likelihood = -28733.224
Iteration 53: (EM) log likelihood = -28729.659
Iteration 54: (EM) log likelihood = -28725.779
Iteration 55: (EM) log likelihood = -28721.972
Iteration 56: (EM) log likelihood = -28718.195
Iteration 57: (EM) log likelihood = -28714.148
Iteration 58: (EM) log likelihood = -28710
Iteration 59: (EM) log likelihood = -28705.857
Iteration 60: (EM) log likelihood = -28701.281
Iteration 61: (EM) log likelihood = -28697.589
Iteration 62: (EM) log likelihood = -28693.281
Iteration 63: (EM) log likelihood = -28688.89
Iteration 64: (EM) log likelihood = -28684.408
Iteration 65: (EM) log likelihood = -28680.788
Iteration 66: (EM) log likelihood = -28676.701
Iteration 67: (EM) log likelihood = -28672.037
Iteration 68: (EM) log likelihood = -28668.123
Iteration 69: (EM) log likelihood = -28663.567
Iteration 70: (EM) log likelihood = -28659.144
Iteration 71: (EM) log likelihood = -28654.127
Iteration 72: (EM) log likelihood = -28649.575
Iteration 73: (EM) log likelihood = -28644.518
Iteration 74: (EM) log likelihood = -28639.366
Iteration 75: (EM) log likelihood = -28634.057
Iteration 76: (EM) log likelihood = -28628.128
Iteration 77: (EM) log likelihood = -28622.31
Iteration 78: (EM) log likelihood = -28615.409
Iteration 79: (EM) log likelihood = -28608.912
Iteration 80: (EM) log likelihood = -28602.913
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6095.965
Iteration 1: (class) log likelihood = -6095.965
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30053.488
Iteration 1: (outcome) log likelihood = -29339.698
Iteration 2: (outcome) log likelihood = -29154.144
Iteration 3: (outcome) log likelihood = -29126.001
Iteration 4: (outcome) log likelihood = -29119.363
Iteration 5: (outcome) log likelihood = -29118.047
Iteration 6: (outcome) log likelihood = -29117.818
Iteration 7: (outcome) log likelihood = -29117.766
Iteration 8: (outcome) log likelihood = -29117.753
Iteration 9: (outcome) log likelihood = -29117.75
Iteration 10: (outcome) log likelihood = -29117.75
Iteration 11: (outcome) log likelihood = -29117.75
Iteration 12: (outcome) log likelihood = -29117.75
Refining starting values:
Iteration 0: (EM) log likelihood = -35203.217
Iteration 1: (EM) log likelihood = -35173.523
Iteration 2: (EM) log likelihood = -35097.903
Iteration 3: (EM) log likelihood = -34886.305
Iteration 4: (EM) log likelihood = -34319.837
Iteration 5: (EM) log likelihood = -33309.449
Iteration 6: (EM) log likelihood = -32290.67
Iteration 7: (EM) log likelihood = -31544.157
Iteration 8: (EM) log likelihood = -31020.16
Iteration 9: (EM) log likelihood = -30634.015
Iteration 10: (EM) log likelihood = -30330.399
Iteration 11: (EM) log likelihood = -30086.355
Iteration 12: (EM) log likelihood = -29901.024
Iteration 13: (EM) log likelihood = -29763.228
Iteration 14: (EM) log likelihood = -29656.419
Iteration 15: (EM) log likelihood = -29567.143
Iteration 16: (EM) log likelihood = -29486.193
Iteration 17: (EM) log likelihood = -29410.282
Iteration 18: (EM) log likelihood = -29340.394
Iteration 19: (EM) log likelihood = -29275.649
Iteration 20: (EM) log likelihood = -29221.184
Iteration 21: (EM) log likelihood = -29173.057
Iteration 22: (EM) log likelihood = -29134.092
Iteration 23: (EM) log likelihood = -29102.744
Iteration 24: (EM) log likelihood = -29076.142
Iteration 25: (EM) log likelihood = -29053.57
Iteration 26: (EM) log likelihood = -29033.213
Iteration 27: (EM) log likelihood = -29014.582
Iteration 28: (EM) log likelihood = -28997.395
Iteration 29: (EM) log likelihood = -28981.246
Iteration 30: (EM) log likelihood = -28965.983
Iteration 31: (EM) log likelihood = -28950.552
Iteration 32: (EM) log likelihood = -28935.576
Iteration 33: (EM) log likelihood = -28921.203
Iteration 34: (EM) log likelihood = -28906.928
Iteration 35: (EM) log likelihood = -28892.02
Iteration 36: (EM) log likelihood = -28877.16
Iteration 37: (EM) log likelihood = -28862.832
Iteration 38: (EM) log likelihood = -28850.21
Iteration 39: (EM) log likelihood = -28836.033
Iteration 40: (EM) log likelihood = -28823.153
Iteration 41: (EM) log likelihood = -28808.984
Iteration 42: (EM) log likelihood = -28794.296
Iteration 43: (EM) log likelihood = -28782.509
Iteration 44: (EM) log likelihood = -28769.39
Iteration 45: (EM) log likelihood = -28757.628
Iteration 46: (EM) log likelihood = -28744.614
Iteration 47: (EM) log likelihood = -28731.62
Iteration 48: (EM) log likelihood = -28719.582
Iteration 49: (EM) log likelihood = -28707.798
Iteration 50: (EM) log likelihood = -28697.952
Iteration 51: (EM) log likelihood = -28689.305
Iteration 52: (EM) log likelihood = -28677.769
Iteration 53: (EM) log likelihood = -28666.37
Iteration 54: (EM) log likelihood = -28656.492
Iteration 55: (EM) log likelihood = -28645.41
Iteration 56: (EM) log likelihood = -28637.147
Iteration 57: (EM) log likelihood = -28626.922
Iteration 58: (EM) log likelihood = -28618.877
Iteration 59: (EM) log likelihood = -28610.594
Iteration 60: (EM) log likelihood = -28603.316
Iteration 61: (EM) log likelihood = -28595.651
Iteration 62: (EM) log likelihood = -28588.474
Iteration 63: (EM) log likelihood = -28579.715
Iteration 64: (EM) log likelihood = -28570.92
Iteration 65: (EM) log likelihood = -28560.701
Iteration 66: (EM) log likelihood = -28554.408
Iteration 67: (EM) log likelihood = -28547.122
Iteration 68: (EM) log likelihood = -28541.671
Iteration 69: (EM) log likelihood = -28537.455
Iteration 70: (EM) log likelihood = -28530.864
Iteration 71: (EM) log likelihood = -28525.989
Iteration 72: (EM) log likelihood = -28521.044
Iteration 73: (EM) log likelihood = -28518.173
Iteration 74: (EM) log likelihood = -28513.496
Iteration 75: (EM) log likelihood = -28509.389
Iteration 76: (EM) log likelihood = -28505.168
Iteration 77: (EM) log likelihood = -28500.77
Iteration 78: (EM) log likelihood = -28496.686
Iteration 79: (EM) log likelihood = -28492.774
Iteration 80: (EM) log likelihood = -28488.646
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.4854
Iteration 1: (class) log likelihood = -6096.4854
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29135.646
Iteration 1: (outcome) log likelihood = -29135.646
Refining starting values:
Iteration 0: (EM) log likelihood = -35219.707
Iteration 1: (EM) log likelihood = -35169.921
Iteration 2: (EM) log likelihood = -35014.472
Iteration 3: (EM) log likelihood = -34606.613
Iteration 4: (EM) log likelihood = -33778.023
Iteration 5: (EM) log likelihood = -32651.386
Iteration 6: (EM) log likelihood = -31717.092
Iteration 7: (EM) log likelihood = -31126.798
Iteration 8: (EM) log likelihood = -30769.847
Iteration 9: (EM) log likelihood = -30511.244
Iteration 10: (EM) log likelihood = -30277.423
Iteration 11: (EM) log likelihood = -30060.316
Iteration 12: (EM) log likelihood = -29880.696
Iteration 13: (EM) log likelihood = -29750.37
Iteration 14: (EM) log likelihood = -29657.448
Iteration 15: (EM) log likelihood = -29592.508
Iteration 16: (EM) log likelihood = -29546.095
Iteration 17: (EM) log likelihood = -29508.384
Iteration 18: (EM) log likelihood = -29476.271
Iteration 19: (EM) log likelihood = -29446.41
Iteration 20: (EM) log likelihood = -29414.577
Iteration 21: (EM) log likelihood = -29382.893
Iteration 22: (EM) log likelihood = -29350.455
Iteration 23: (EM) log likelihood = -29319.907
Iteration 24: (EM) log likelihood = -29288.289
Iteration 25: (EM) log likelihood = -29260.339
Iteration 26: (EM) log likelihood = -29230.694
Iteration 27: (EM) log likelihood = -29202.905
Iteration 28: (EM) log likelihood = -29177.669
Iteration 29: (EM) log likelihood = -29150.566
Iteration 30: (EM) log likelihood = -29125.836
Iteration 31: (EM) log likelihood = -29102.179
Iteration 32: (EM) log likelihood = -29077.742
Iteration 33: (EM) log likelihood = -29055.864
Iteration 34: (EM) log likelihood = -29033.835
Iteration 35: (EM) log likelihood = -29011.722
Iteration 36: (EM) log likelihood = -28990.076
Iteration 37: (EM) log likelihood = -28969.541
Iteration 38: (EM) log likelihood = -28949.282
Iteration 39: (EM) log likelihood = -28929.147
Iteration 40: (EM) log likelihood = -28910.091
Iteration 41: (EM) log likelihood = -28891.426
Iteration 42: (EM) log likelihood = -28873.414
Iteration 43: (EM) log likelihood = -28855.863
Iteration 44: (EM) log likelihood = -28847.047
Iteration 45: (EM) log likelihood = -28828.219
Iteration 46: (EM) log likelihood = -28810.438
Iteration 47: (EM) log likelihood = -28793.488
Iteration 48: (EM) log likelihood = -28776.988
Iteration 49: (EM) log likelihood = -28761.715
Iteration 50: (EM) log likelihood = -28746.854
Iteration 51: (EM) log likelihood = -28731.73
Iteration 52: (EM) log likelihood = -28718.374
Iteration 53: (EM) log likelihood = -28705.313
Iteration 54: (EM) log likelihood = -28693.397
Iteration 55: (EM) log likelihood = -28681.735
Iteration 56: (EM) log likelihood = -28670.101
Iteration 57: (EM) log likelihood = -28660.746
Iteration 58: (EM) log likelihood = -28650.763
Iteration 59: (EM) log likelihood = -28640.853
Iteration 60: (EM) log likelihood = -28631.914
Iteration 61: (EM) log likelihood = -28623.782
Iteration 62: (EM) log likelihood = -28616.392
Iteration 63: (EM) log likelihood = -28607.959
Iteration 64: (EM) log likelihood = -28601.233
Iteration 65: (EM) log likelihood = -28595.025
Iteration 66: (EM) log likelihood = -28587.47
Iteration 67: (EM) log likelihood = -28579.904
Iteration 68: (EM) log likelihood = -28573.933
Iteration 69: (EM) log likelihood = -28566.384
Iteration 70: (EM) log likelihood = -28561.035
Iteration 71: (EM) log likelihood = -28554.447
Iteration 72: (EM) log likelihood = -28548.748
Iteration 73: (EM) log likelihood = -28543.523
Iteration 74: (EM) log likelihood = -28538.374
Iteration 75: (EM) log likelihood = -28534.207
Iteration 76: (EM) log likelihood = -28528.482
Iteration 77: (EM) log likelihood = -28523.997
Iteration 78: (EM) log likelihood = -28519.703
Iteration 79: (EM) log likelihood = -28514.198
Iteration 80: (EM) log likelihood = -28508.957
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.1041
Iteration 1: (class) log likelihood = -6097.1041
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29830.413
Iteration 1: (outcome) log likelihood = -29225.209
Iteration 2: (outcome) log likelihood = -29130.025
Iteration 3: (outcome) log likelihood = -29109.927
Iteration 4: (outcome) log likelihood = -29105.979
Iteration 5: (outcome) log likelihood = -29105.106
Iteration 6: (outcome) log likelihood = -29104.913
Iteration 7: (outcome) log likelihood = -29104.865
Iteration 8: (outcome) log likelihood = -29104.855
Iteration 9: (outcome) log likelihood = -29104.853
Iteration 10: (outcome) log likelihood = -29104.852
Iteration 11: (outcome) log likelihood = -29104.852
Iteration 12: (outcome) log likelihood = -29104.852
Refining starting values:
Iteration 0: (EM) log likelihood = -35174.361
Iteration 1: (EM) log likelihood = -35077.437
Iteration 2: (EM) log likelihood = -34749.663
Iteration 3: (EM) log likelihood = -33904.775
Iteration 4: (EM) log likelihood = -32831.321
Iteration 5: (EM) log likelihood = -32048.275
Iteration 6: (EM) log likelihood = -31492.273
Iteration 7: (EM) log likelihood = -31048.577
Iteration 8: (EM) log likelihood = -30692.211
Iteration 9: (EM) log likelihood = -30419.223
Iteration 10: (EM) log likelihood = -30217.851
Iteration 11: (EM) log likelihood = -30071.86
Iteration 12: (EM) log likelihood = -29962.904
Iteration 13: (EM) log likelihood = -29877.781
Iteration 14: (EM) log likelihood = -29809.496
Iteration 15: (EM) log likelihood = -29751.037
Iteration 16: (EM) log likelihood = -29700.062
Iteration 17: (EM) log likelihood = -29654.571
Iteration 18: (EM) log likelihood = -29614.75
Iteration 19: (EM) log likelihood = -29578.079
Iteration 20: (EM) log likelihood = -29541.391
Iteration 21: (EM) log likelihood = -29506.984
Iteration 22: (EM) log likelihood = -29475.567
Iteration 23: (EM) log likelihood = -29442.712
Iteration 24: (EM) log likelihood = -29409.882
Iteration 25: (EM) log likelihood = -29376.343
Iteration 26: (EM) log likelihood = -29340.848
Iteration 27: (EM) log likelihood = -29303.056
Iteration 28: (EM) log likelihood = -29262.294
Iteration 29: (EM) log likelihood = -29221.73
Iteration 30: (EM) log likelihood = -29184.449
Iteration 31: (EM) log likelihood = -29149.785
Iteration 32: (EM) log likelihood = -29116.96
Iteration 33: (EM) log likelihood = -29084.816
Iteration 34: (EM) log likelihood = -29052.044
Iteration 35: (EM) log likelihood = -29023.136
Iteration 36: (EM) log likelihood = -28996.391
Iteration 37: (EM) log likelihood = -28973.67
Iteration 38: (EM) log likelihood = -28952.197
Iteration 39: (EM) log likelihood = -28930.594
Iteration 40: (EM) log likelihood = -28908.269
Iteration 41: (EM) log likelihood = -28888.023
Iteration 42: (EM) log likelihood = -28869.603
Iteration 43: (EM) log likelihood = -28856.631
Iteration 44: (EM) log likelihood = -28843.277
Iteration 45: (EM) log likelihood = -28832.242
Iteration 46: (EM) log likelihood = -28818.442
Iteration 47: (EM) log likelihood = -28806.449
Iteration 48: (EM) log likelihood = -28795.269
Iteration 49: (EM) log likelihood = -28784.289
Iteration 50: (EM) log likelihood = -28776.133
Iteration 51: (EM) log likelihood = -28766.522
Iteration 52: (EM) log likelihood = -28758.949
Iteration 53: (EM) log likelihood = -28748.66
Iteration 54: (EM) log likelihood = -28740.338
Iteration 55: (EM) log likelihood = -28734.013
Iteration 56: (EM) log likelihood = -28725.354
Iteration 57: (EM) log likelihood = -28718.384
Iteration 58: (EM) log likelihood = -28711.567
Iteration 59: (EM) log likelihood = -28704.86
Iteration 60: (EM) log likelihood = -28698.3
Iteration 61: (EM) log likelihood = -28692.025
Iteration 62: (EM) log likelihood = -28685.48
Iteration 63: (EM) log likelihood = -28678.342
Iteration 64: (EM) log likelihood = -28672.216
Iteration 65: (EM) log likelihood = -28665.682
Iteration 66: (EM) log likelihood = -28659.163
Iteration 67: (EM) log likelihood = -28651.828
Iteration 68: (EM) log likelihood = -28647.627
Iteration 69: (EM) log likelihood = -28641.802
Iteration 70: (EM) log likelihood = -28635.649
Iteration 71: (EM) log likelihood = -28630.841
Iteration 72: (EM) log likelihood = -28625.217
Iteration 73: (EM) log likelihood = -28620.92
Iteration 74: (EM) log likelihood = -28616.616
Iteration 75: (EM) log likelihood = -28612.036
Iteration 76: (EM) log likelihood = -28608.391
Iteration 77: (EM) log likelihood = -28604.871
Iteration 78: (EM) log likelihood = -28601.122
Iteration 79: (EM) log likelihood = -28597.541
Iteration 80: (EM) log likelihood = -28594.11
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.002
Iteration 1: (class) log likelihood = -6097.002
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29411.381
Iteration 1: (outcome) log likelihood = -29159.32
Iteration 2: (outcome) log likelihood = -29136.103
Iteration 3: (outcome) log likelihood = -29129.929
Iteration 4: (outcome) log likelihood = -29128.602
Iteration 5: (outcome) log likelihood = -29128.32
Iteration 6: (outcome) log likelihood = -29128.268
Iteration 7: (outcome) log likelihood = -29128.257
Iteration 8: (outcome) log likelihood = -29128.254
Iteration 9: (outcome) log likelihood = -29128.253
Iteration 10: (outcome) log likelihood = -29128.253
Iteration 11: (outcome) log likelihood = -29128.253
Refining starting values:
Iteration 0: (EM) log likelihood = -35216.553
Iteration 1: (EM) log likelihood = -35178.966
Iteration 2: (EM) log likelihood = -35058.149
Iteration 3: (EM) log likelihood = -34736.199
Iteration 4: (EM) log likelihood = -34095.557
Iteration 5: (EM) log likelihood = -33161.659
Iteration 6: (EM) log likelihood = -32206.117
Iteration 7: (EM) log likelihood = -31458.926
Iteration 8: (EM) log likelihood = -30929.893
Iteration 9: (EM) log likelihood = -30583.645
Iteration 10: (EM) log likelihood = -30338.694
Iteration 11: (EM) log likelihood = -30119.863
Iteration 12: (EM) log likelihood = -29908.096
Iteration 13: (EM) log likelihood = -29724.029
Iteration 14: (EM) log likelihood = -29580.698
Iteration 15: (EM) log likelihood = -29476.992
Iteration 16: (EM) log likelihood = -29401.541
Iteration 17: (EM) log likelihood = -29345.211
Iteration 18: (EM) log likelihood = -29302.865
Iteration 19: (EM) log likelihood = -29269.732
Iteration 20: (EM) log likelihood = -29241.987
Iteration 21: (EM) log likelihood = -29217.837
Iteration 22: (EM) log likelihood = -29195.817
Iteration 23: (EM) log likelihood = -29174.206
Iteration 24: (EM) log likelihood = -29154.398
Iteration 25: (EM) log likelihood = -29134.172
Iteration 26: (EM) log likelihood = -29114.368
Iteration 27: (EM) log likelihood = -29095.739
Iteration 28: (EM) log likelihood = -29076.725
Iteration 29: (EM) log likelihood = -29059.618
Iteration 30: (EM) log likelihood = -29043.603
Iteration 31: (EM) log likelihood = -29028.466
Iteration 32: (EM) log likelihood = -29015.549
Iteration 33: (EM) log likelihood = -29004.051
Iteration 34: (EM) log likelihood = -28990.363
Iteration 35: (EM) log likelihood = -28979.372
Iteration 36: (EM) log likelihood = -28973.586
Iteration 37: (EM) log likelihood = -28967.174
Iteration 38: (EM) log likelihood = -28960.275
Iteration 39: (EM) log likelihood = -28953.754
Iteration 40: (EM) log likelihood = -28947.948
Iteration 41: (EM) log likelihood = -28940.671
Iteration 42: (EM) log likelihood = -28933.726
Iteration 43: (EM) log likelihood = -28926.363
Iteration 44: (EM) log likelihood = -28920.485
Iteration 45: (EM) log likelihood = -28912.945
Iteration 46: (EM) log likelihood = -28905.617
Iteration 47: (EM) log likelihood = -28896.307
Iteration 48: (EM) log likelihood = -28888.27
Iteration 49: (EM) log likelihood = -28880.473
Iteration 50: (EM) log likelihood = -28873.57
Iteration 51: (EM) log likelihood = -28866.144
Iteration 52: (EM) log likelihood = -28856.474
Iteration 53: (EM) log likelihood = -28849.478
Iteration 54: (EM) log likelihood = -28842.231
Iteration 55: (EM) log likelihood = -28833.381
Iteration 56: (EM) log likelihood = -28825.406
Iteration 57: (EM) log likelihood = -28818.609
Iteration 58: (EM) log likelihood = -28812.392
Iteration 59: (EM) log likelihood = -28805.885
Iteration 60: (EM) log likelihood = -28799.879
Iteration 61: (EM) log likelihood = -28793.938
Iteration 62: (EM) log likelihood = -28788.265
Iteration 63: (EM) log likelihood = -28781.503
Iteration 64: (EM) log likelihood = -28775.095
Iteration 65: (EM) log likelihood = -28767.293
Iteration 66: (EM) log likelihood = -28763.183
Iteration 67: (EM) log likelihood = -28758.222
Iteration 68: (EM) log likelihood = -28748.987
Iteration 69: (EM) log likelihood = -28745.624
Iteration 70: (EM) log likelihood = -28741.801
Iteration 71: (EM) log likelihood = -28738.116
Iteration 72: (EM) log likelihood = -28733.995
Iteration 73: (EM) log likelihood = -28730.324
Iteration 74: (EM) log likelihood = -28727.311
Iteration 75: (EM) log likelihood = -28724.026
Iteration 76: (EM) log likelihood = -28720.74
Iteration 77: (EM) log likelihood = -28720.078
Iteration 78: (EM) log likelihood = -28716.384
Iteration 79: (EM) log likelihood = -28713.453
Iteration 80: (EM) log likelihood = -28710.69
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.5421
Iteration 1: (class) log likelihood = -6096.5421
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29134.878
Iteration 1: (outcome) log likelihood = -29134.878
Refining starting values:
Iteration 0: (EM) log likelihood = -35216.871
Iteration 1: (EM) log likelihood = -35156.261
Iteration 2: (EM) log likelihood = -34947.806
Iteration 3: (EM) log likelihood = -34370.605
Iteration 4: (EM) log likelihood = -33357.929
Iteration 5: (EM) log likelihood = -32283.099
Iteration 6: (EM) log likelihood = -31447.425
Iteration 7: (EM) log likelihood = -30866.925
Iteration 8: (EM) log likelihood = -30453.68
Iteration 9: (EM) log likelihood = -30154.543
Iteration 10: (EM) log likelihood = -29932.819
Iteration 11: (EM) log likelihood = -29764.552
Iteration 12: (EM) log likelihood = -29636.606
Iteration 13: (EM) log likelihood = -29540.045
Iteration 14: (EM) log likelihood = -29467.507
Iteration 15: (EM) log likelihood = -29412.52
Iteration 16: (EM) log likelihood = -29369.254
Iteration 17: (EM) log likelihood = -29330.978
Iteration 18: (EM) log likelihood = -29297.391
Iteration 19: (EM) log likelihood = -29267.342
Iteration 20: (EM) log likelihood = -29238.307
Iteration 21: (EM) log likelihood = -29213.141
Iteration 22: (EM) log likelihood = -29190.453
Iteration 23: (EM) log likelihood = -29169.205
Iteration 24: (EM) log likelihood = -29149.111
Iteration 25: (EM) log likelihood = -29131.141
Iteration 26: (EM) log likelihood = -29114.004
Iteration 27: (EM) log likelihood = -29097.581
Iteration 28: (EM) log likelihood = -29079.826
Iteration 29: (EM) log likelihood = -29064.063
Iteration 30: (EM) log likelihood = -29047.489
Iteration 31: (EM) log likelihood = -29032.464
Iteration 32: (EM) log likelihood = -29017.969
Iteration 33: (EM) log likelihood = -29001.832
Iteration 34: (EM) log likelihood = -28986.193
Iteration 35: (EM) log likelihood = -28970.289
Iteration 36: (EM) log likelihood = -28955.688
Iteration 37: (EM) log likelihood = -28940.103
Iteration 38: (EM) log likelihood = -28924.354
Iteration 39: (EM) log likelihood = -28910.136
Iteration 40: (EM) log likelihood = -28894.804
Iteration 41: (EM) log likelihood = -28880.081
Iteration 42: (EM) log likelihood = -28864.696
Iteration 43: (EM) log likelihood = -28847.184
Iteration 44: (EM) log likelihood = -28834.882
Iteration 45: (EM) log likelihood = -28820.033
Iteration 46: (EM) log likelihood = -28805.861
Iteration 47: (EM) log likelihood = -28791.625
Iteration 48: (EM) log likelihood = -28777.696
Iteration 49: (EM) log likelihood = -28762.959
Iteration 50: (EM) log likelihood = -28749.421
Iteration 51: (EM) log likelihood = -28736.173
Iteration 52: (EM) log likelihood = -28723.671
Iteration 53: (EM) log likelihood = -28710.86
Iteration 54: (EM) log likelihood = -28698.585
Iteration 55: (EM) log likelihood = -28685.947
Iteration 56: (EM) log likelihood = -28674.108
Iteration 57: (EM) log likelihood = -28664.059
Iteration 58: (EM) log likelihood = -28652.35
Iteration 59: (EM) log likelihood = -28640.891
Iteration 60: (EM) log likelihood = -28628.993
Iteration 61: (EM) log likelihood = -28618.036
Iteration 62: (EM) log likelihood = -28606.523
Iteration 63: (EM) log likelihood = -28595.369
Iteration 64: (EM) log likelihood = -28585.355
Iteration 65: (EM) log likelihood = -28575.604
Iteration 66: (EM) log likelihood = -28566.07
Iteration 67: (EM) log likelihood = -28556.19
Iteration 68: (EM) log likelihood = -28547.966
Iteration 69: (EM) log likelihood = -28537.907
Iteration 70: (EM) log likelihood = -28531.526
Iteration 71: (EM) log likelihood = -28522.429
Iteration 72: (EM) log likelihood = -28513.437
Iteration 73: (EM) log likelihood = -28506.202
Iteration 74: (EM) log likelihood = -28500.736
Iteration 75: (EM) log likelihood = -28492.978
Iteration 76: (EM) log likelihood = -28485.891
Iteration 77: (EM) log likelihood = -28480.066
Iteration 78: (EM) log likelihood = -28473.252
Iteration 79: (EM) log likelihood = -28468.797
Iteration 80: (EM) log likelihood = -28464.228
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6094.6445
Iteration 1: (class) log likelihood = -6094.6445
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29544.394
Iteration 1: (outcome) log likelihood = -29188.189
Iteration 2: (outcome) log likelihood = -29124.279
Iteration 3: (outcome) log likelihood = -29114.882
Iteration 4: (outcome) log likelihood = -29112.618
Iteration 5: (outcome) log likelihood = -29112.141
Iteration 6: (outcome) log likelihood = -29112.041
Iteration 7: (outcome) log likelihood = -29112.019
Iteration 8: (outcome) log likelihood = -29112.013
Iteration 9: (outcome) log likelihood = -29112.012
Iteration 10: (outcome) log likelihood = -29112.012
Iteration 11: (outcome) log likelihood = -29112.012
Iteration 12: (outcome) log likelihood = -29112.012
Refining starting values:
Iteration 0: (EM) log likelihood = -35191.218
Iteration 1: (EM) log likelihood = -35132.82
Iteration 2: (EM) log likelihood = -34948.816
Iteration 3: (EM) log likelihood = -34484.526
Iteration 4: (EM) log likelihood = -33690.638
Iteration 5: (EM) log likelihood = -32794.458
Iteration 6: (EM) log likelihood = -32019.017
Iteration 7: (EM) log likelihood = -31412.397
Iteration 8: (EM) log likelihood = -30984.282
Iteration 9: (EM) log likelihood = -30694.584
Iteration 10: (EM) log likelihood = -30475.593
Iteration 11: (EM) log likelihood = -30287.861
Iteration 12: (EM) log likelihood = -30120.197
Iteration 13: (EM) log likelihood = -29968.645
Iteration 14: (EM) log likelihood = -29836.418
Iteration 15: (EM) log likelihood = -29728.723
Iteration 16: (EM) log likelihood = -29642.525
Iteration 17: (EM) log likelihood = -29579.257
Iteration 18: (EM) log likelihood = -29536.124
Iteration 19: (EM) log likelihood = -29508.334
Iteration 20: (EM) log likelihood = -29488.36
Iteration 21: (EM) log likelihood = -29474.112
Iteration 22: (EM) log likelihood = -29463.861
Iteration 23: (EM) log likelihood = -29455.289
Iteration 24: (EM) log likelihood = -29445.7
Iteration 25: (EM) log likelihood = -29435.11
Iteration 26: (EM) log likelihood = -29422.577
Iteration 27: (EM) log likelihood = -29407.932
Iteration 28: (EM) log likelihood = -29393.159
Iteration 29: (EM) log likelihood = -29378.299
Iteration 30: (EM) log likelihood = -29362.67
Iteration 31: (EM) log likelihood = -29348.603
Iteration 32: (EM) log likelihood = -29332.856
Iteration 33: (EM) log likelihood = -29315.662
Iteration 34: (EM) log likelihood = -29298.033
Iteration 35: (EM) log likelihood = -29280.159
Iteration 36: (EM) log likelihood = -29261.289
Iteration 37: (EM) log likelihood = -29242.789
Iteration 38: (EM) log likelihood = -29224.84
Iteration 39: (EM) log likelihood = -29207.203
Iteration 40: (EM) log likelihood = -29188.5
Iteration 41: (EM) log likelihood = -29169.601
Iteration 42: (EM) log likelihood = -29151.249
Iteration 43: (EM) log likelihood = -29133.897
Iteration 44: (EM) log likelihood = -29117.239
Iteration 45: (EM) log likelihood = -29101.382
Iteration 46: (EM) log likelihood = -29084.99
Iteration 47: (EM) log likelihood = -29070.167
Iteration 48: (EM) log likelihood = -29056.767
Iteration 49: (EM) log likelihood = -29042.159
Iteration 50: (EM) log likelihood = -29028.321
Iteration 51: (EM) log likelihood = -29015.139
Iteration 52: (EM) log likelihood = -29001.846
Iteration 53: (EM) log likelihood = -28989.741
Iteration 54: (EM) log likelihood = -28978.128
Iteration 55: (EM) log likelihood = -28966.709
Iteration 56: (EM) log likelihood = -28956.489
Iteration 57: (EM) log likelihood = -28946.514
Iteration 58: (EM) log likelihood = -28934.97
Iteration 59: (EM) log likelihood = -28924.82
Iteration 60: (EM) log likelihood = -28914.15
Iteration 61: (EM) log likelihood = -28903.355
Iteration 62: (EM) log likelihood = -28893.244
Iteration 63: (EM) log likelihood = -28882.508
Iteration 64: (EM) log likelihood = -28872.41
Iteration 65: (EM) log likelihood = -28862.285
Iteration 66: (EM) log likelihood = -28852.48
Iteration 67: (EM) log likelihood = -28842.044
Iteration 68: (EM) log likelihood = -28832.347
Iteration 69: (EM) log likelihood = -28821.784
Iteration 70: (EM) log likelihood = -28812.359
Iteration 71: (EM) log likelihood = -28802.813
Iteration 72: (EM) log likelihood = -28793.125
Iteration 73: (EM) log likelihood = -28783.245
Iteration 74: (EM) log likelihood = -28774.647
Iteration 75: (EM) log likelihood = -28763.585
Iteration 76: (EM) log likelihood = -28753
Iteration 77: (EM) log likelihood = -28744.565
Iteration 78: (EM) log likelihood = -28734.992
Iteration 79: (EM) log likelihood = -28724.98
Iteration 80: (EM) log likelihood = -28714.9
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.5825
Iteration 1: (class) log likelihood = -6097.5825
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29349.553
Iteration 1: (outcome) log likelihood = -29167.644
Iteration 2: (outcome) log likelihood = -29111.302
Iteration 3: (outcome) log likelihood = -29102.782
Iteration 4: (outcome) log likelihood = -29100.623
Iteration 5: (outcome) log likelihood = -29100.22
Iteration 6: (outcome) log likelihood = -29100.154
Iteration 7: (outcome) log likelihood = -29100.138
Iteration 8: (outcome) log likelihood = -29100.134
Iteration 9: (outcome) log likelihood = -29100.134
Iteration 10: (outcome) log likelihood = -29100.133
Iteration 11: (outcome) log likelihood = -29100.133
Iteration 12: (outcome) log likelihood = -29100.133
Refining starting values:
Iteration 0: (EM) log likelihood = -35186.368
Iteration 1: (EM) log likelihood = -35142.891
Iteration 2: (EM) log likelihood = -35017.646
Iteration 3: (EM) log likelihood = -34685.62
Iteration 4: (EM) log likelihood = -33950.531
Iteration 5: (EM) log likelihood = -32824.02
Iteration 6: (EM) log likelihood = -31856.312
Iteration 7: (EM) log likelihood = -31263.048
Iteration 8: (EM) log likelihood = -30886.998
Iteration 9: (EM) log likelihood = -30612.476
Iteration 10: (EM) log likelihood = -30402.482
Iteration 11: (EM) log likelihood = -30245.206
Iteration 12: (EM) log likelihood = -30131.246
Iteration 13: (EM) log likelihood = -30042.033
Iteration 14: (EM) log likelihood = -29969.434
Iteration 15: (EM) log likelihood = -29904.54
Iteration 16: (EM) log likelihood = -29842.529
Iteration 17: (EM) log likelihood = -29780.217
Iteration 18: (EM) log likelihood = -29718.395
Iteration 19: (EM) log likelihood = -29653.894
Iteration 20: (EM) log likelihood = -29589.992
Iteration 21: (EM) log likelihood = -29529.451
Iteration 22: (EM) log likelihood = -29471.149
Iteration 23: (EM) log likelihood = -29414.983
Iteration 24: (EM) log likelihood = -29357.799
Iteration 25: (EM) log likelihood = -29303.996
Iteration 26: (EM) log likelihood = -29251.183
Iteration 27: (EM) log likelihood = -29200.484
Iteration 28: (EM) log likelihood = -29152.237
Iteration 29: (EM) log likelihood = -29110.022
Iteration 30: (EM) log likelihood = -29070.071
Iteration 31: (EM) log likelihood = -29034.465
Iteration 32: (EM) log likelihood = -29000.841
Iteration 33: (EM) log likelihood = -28970.675
Iteration 34: (EM) log likelihood = -28943.09
Iteration 35: (EM) log likelihood = -28915.626
Iteration 36: (EM) log likelihood = -28888.86
Iteration 37: (EM) log likelihood = -28865.304
Iteration 38: (EM) log likelihood = -28843.938
Iteration 39: (EM) log likelihood = -28822.57
Iteration 40: (EM) log likelihood = -28802.57
Iteration 41: (EM) log likelihood = -28784.963
Iteration 42: (EM) log likelihood = -28768.287
Iteration 43: (EM) log likelihood = -28751.254
Iteration 44: (EM) log likelihood = -28735.391
Iteration 45: (EM) log likelihood = -28721.304
Iteration 46: (EM) log likelihood = -28707.006
Iteration 47: (EM) log likelihood = -28693.813
Iteration 48: (EM) log likelihood = -28685.202
Iteration 49: (EM) log likelihood = -28673.091
Iteration 50: (EM) log likelihood = -28660.911
Iteration 51: (EM) log likelihood = -28650.08
Iteration 52: (EM) log likelihood = -28640.828
Iteration 53: (EM) log likelihood = -28632.275
Iteration 54: (EM) log likelihood = -28621.508
Iteration 55: (EM) log likelihood = -28613.261
Iteration 56: (EM) log likelihood = -28603.809
Iteration 57: (EM) log likelihood = -28597.271
Iteration 58: (EM) log likelihood = -28590.901
Iteration 59: (EM) log likelihood = -28584.85
Iteration 60: (EM) log likelihood = -28579.377
Iteration 61: (EM) log likelihood = -28573.49
Iteration 62: (EM) log likelihood = -28568.283
Iteration 63: (EM) log likelihood = -28563.672
Iteration 64: (EM) log likelihood = -28557.282
Iteration 65: (EM) log likelihood = -28553.905
Iteration 66: (EM) log likelihood = -28549.143
Iteration 67: (EM) log likelihood = -28544.945
Iteration 68: (EM) log likelihood = -28539.438
Iteration 69: (EM) log likelihood = -28535.127
Iteration 70: (EM) log likelihood = -28531.143
Iteration 71: (EM) log likelihood = -28525.814
Iteration 72: (EM) log likelihood = -28519.601
Iteration 73: (EM) log likelihood = -28516.619
Iteration 74: (EM) log likelihood = -28512.343
Iteration 75: (EM) log likelihood = -28509.625
Iteration 76: (EM) log likelihood = -28506.522
Iteration 77: (EM) log likelihood = -28503.032
Iteration 78: (EM) log likelihood = -28499.88
Iteration 79: (EM) log likelihood = -28496.915
Iteration 80: (EM) log likelihood = -28491.364
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6095.3757
Iteration 1: (class) log likelihood = -6095.3757
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29125.387
Iteration 1: (outcome) log likelihood = -29125.387
Refining starting values:
Iteration 0: (EM) log likelihood = -35209.457
Iteration 1: (EM) log likelihood = -35162.927
Iteration 2: (EM) log likelihood = -34994.405
Iteration 3: (EM) log likelihood = -34425.504
Iteration 4: (EM) log likelihood = -33258.199
Iteration 5: (EM) log likelihood = -32116.951
Iteration 6: (EM) log likelihood = -31348.081
Iteration 7: (EM) log likelihood = -30848.936
Iteration 8: (EM) log likelihood = -30536.55
Iteration 9: (EM) log likelihood = -30338.08
Iteration 10: (EM) log likelihood = -30207.091
Iteration 11: (EM) log likelihood = -30116.856
Iteration 12: (EM) log likelihood = -30049.141
Iteration 13: (EM) log likelihood = -29997.158
Iteration 14: (EM) log likelihood = -29952.483
Iteration 15: (EM) log likelihood = -29912.505
Iteration 16: (EM) log likelihood = -29876.571
Iteration 17: (EM) log likelihood = -29842.182
Iteration 18: (EM) log likelihood = -29808.765
Iteration 19: (EM) log likelihood = -29779.515
Iteration 20: (EM) log likelihood = -29749.61
Iteration 21: (EM) log likelihood = -29721.123
Iteration 22: (EM) log likelihood = -29694.069
Iteration 23: (EM) log likelihood = -29667.378
Iteration 24: (EM) log likelihood = -29641.755
Iteration 25: (EM) log likelihood = -29616.831
Iteration 26: (EM) log likelihood = -29591.476
Iteration 27: (EM) log likelihood = -29565.635
Iteration 28: (EM) log likelihood = -29539.025
Iteration 29: (EM) log likelihood = -29511.372
Iteration 30: (EM) log likelihood = -29483.068
Iteration 31: (EM) log likelihood = -29454.066
Iteration 32: (EM) log likelihood = -29425.175
Iteration 33: (EM) log likelihood = -29397.269
Iteration 34: (EM) log likelihood = -29370.761
Iteration 35: (EM) log likelihood = -29346.345
Iteration 36: (EM) log likelihood = -29324.152
Iteration 37: (EM) log likelihood = -29304.708
Iteration 38: (EM) log likelihood = -29287.62
Iteration 39: (EM) log likelihood = -29272.692
Iteration 40: (EM) log likelihood = -29259.402
Iteration 41: (EM) log likelihood = -29247.908
Iteration 42: (EM) log likelihood = -29237.389
Iteration 43: (EM) log likelihood = -29228.902
Iteration 44: (EM) log likelihood = -29220.612
Iteration 45: (EM) log likelihood = -29213.213
Iteration 46: (EM) log likelihood = -29206.441
Iteration 47: (EM) log likelihood = -29200.359
Iteration 48: (EM) log likelihood = -29194.578
Iteration 49: (EM) log likelihood = -29189.217
Iteration 50: (EM) log likelihood = -29184.291
Iteration 51: (EM) log likelihood = -29179.292
Iteration 52: (EM) log likelihood = -29174.458
Iteration 53: (EM) log likelihood = -29169.857
Iteration 54: (EM) log likelihood = -29165.192
Iteration 55: (EM) log likelihood = -29160.514
Iteration 56: (EM) log likelihood = -29155.944
Iteration 57: (EM) log likelihood = -29151.223
Iteration 58: (EM) log likelihood = -29146.514
Iteration 59: (EM) log likelihood = -29141.611
Iteration 60: (EM) log likelihood = -29136.716
Iteration 61: (EM) log likelihood = -29131.648
Iteration 62: (EM) log likelihood = -29126.411
Iteration 63: (EM) log likelihood = -29121.162
Iteration 64: (EM) log likelihood = -29115.707
Iteration 65: (EM) log likelihood = -29110.173
Iteration 66: (EM) log likelihood = -29104.508
Iteration 67: (EM) log likelihood = -29098.671
Iteration 68: (EM) log likelihood = -29092.778
Iteration 69: (EM) log likelihood = -29086.755
Iteration 70: (EM) log likelihood = -29080.389
Iteration 71: (EM) log likelihood = -29073.372
Iteration 72: (EM) log likelihood = -29065.263
Iteration 73: (EM) log likelihood = -29056.135
Iteration 74: (EM) log likelihood = -29045.815
Iteration 75: (EM) log likelihood = -29035.041
Iteration 76: (EM) log likelihood = -29023.464
Iteration 77: (EM) log likelihood = -29011.592
Iteration 78: (EM) log likelihood = -28999.515
Iteration 79: (EM) log likelihood = -28987.357
Iteration 80: (EM) log likelihood = -28974.769
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6095.1703
Iteration 1: (class) log likelihood = -6095.1703
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29377.31
Iteration 1: (outcome) log likelihood = -29193.201
Iteration 2: (outcome) log likelihood = -29136.554
Iteration 3: (outcome) log likelihood = -29127.536
Iteration 4: (outcome) log likelihood = -29125.505
Iteration 5: (outcome) log likelihood = -29125.068
Iteration 6: (outcome) log likelihood = -29124.997
Iteration 7: (outcome) log likelihood = -29124.989
Iteration 8: (outcome) log likelihood = -29124.988
Iteration 9: (outcome) log likelihood = -29124.987
Iteration 10: (outcome) log likelihood = -29124.987
Iteration 11: (outcome) log likelihood = -29124.987
Refining starting values:
Iteration 0: (EM) log likelihood = -35208.285
Iteration 1: (EM) log likelihood = -35140.145
Iteration 2: (EM) log likelihood = -34886.312
Iteration 3: (EM) log likelihood = -34209.992
Iteration 4: (EM) log likelihood = -33208.607
Iteration 5: (EM) log likelihood = -32332.689
Iteration 6: (EM) log likelihood = -31624.124
Iteration 7: (EM) log likelihood = -30988.848
Iteration 8: (EM) log likelihood = -30459.063
Iteration 9: (EM) log likelihood = -30067.597
Iteration 10: (EM) log likelihood = -29794.509
Iteration 11: (EM) log likelihood = -29605.858
Iteration 12: (EM) log likelihood = -29476.614
Iteration 13: (EM) log likelihood = -29383.766
Iteration 14: (EM) log likelihood = -29315.468
Iteration 15: (EM) log likelihood = -29261.965
Iteration 16: (EM) log likelihood = -29217.768
Iteration 17: (EM) log likelihood = -29180.749
Iteration 18: (EM) log likelihood = -29148.229
Iteration 19: (EM) log likelihood = -29121.399
Iteration 20: (EM) log likelihood = -29098.889
Iteration 21: (EM) log likelihood = -29080.634
Iteration 22: (EM) log likelihood = -29064.602
Iteration 23: (EM) log likelihood = -29050.154
Iteration 24: (EM) log likelihood = -29037.528
Iteration 25: (EM) log likelihood = -29024.546
Iteration 26: (EM) log likelihood = -29012.448
Iteration 27: (EM) log likelihood = -29000.748
Iteration 28: (EM) log likelihood = -28989.206
Iteration 29: (EM) log likelihood = -28976.619
Iteration 30: (EM) log likelihood = -28964.731
Iteration 31: (EM) log likelihood = -28952.796
Iteration 32: (EM) log likelihood = -28941.862
Iteration 33: (EM) log likelihood = -28930.545
Iteration 34: (EM) log likelihood = -28919.52
Iteration 35: (EM) log likelihood = -28909.517
Iteration 36: (EM) log likelihood = -28899.369
Iteration 37: (EM) log likelihood = -28888.489
Iteration 38: (EM) log likelihood = -28877.934
Iteration 39: (EM) log likelihood = -28867.355
Iteration 40: (EM) log likelihood = -28856.316
Iteration 41: (EM) log likelihood = -28845.806
Iteration 42: (EM) log likelihood = -28835.33
Iteration 43: (EM) log likelihood = -28824.464
Iteration 44: (EM) log likelihood = -28813.255
Iteration 45: (EM) log likelihood = -28803.557
Iteration 46: (EM) log likelihood = -28792.808
Iteration 47: (EM) log likelihood = -28782.622
Iteration 48: (EM) log likelihood = -28773.474
Iteration 49: (EM) log likelihood = -28763.569
Iteration 50: (EM) log likelihood = -28754.36
Iteration 51: (EM) log likelihood = -28745.219
Iteration 52: (EM) log likelihood = -28737.179
Iteration 53: (EM) log likelihood = -28729.669
Iteration 54: (EM) log likelihood = -28722.213
Iteration 55: (EM) log likelihood = -28715.21
Iteration 56: (EM) log likelihood = -28708.563
Iteration 57: (EM) log likelihood = -28700.219
Iteration 58: (EM) log likelihood = -28694.588
Iteration 59: (EM) log likelihood = -28687.924
Iteration 60: (EM) log likelihood = -28682.968
Iteration 61: (EM) log likelihood = -28678.12
Iteration 62: (EM) log likelihood = -28672.85
Iteration 63: (EM) log likelihood = -28668.089
Iteration 64: (EM) log likelihood = -28663.38
Iteration 65: (EM) log likelihood = -28660.04
Iteration 66: (EM) log likelihood = -28654.543
Iteration 67: (EM) log likelihood = -28649.373
Iteration 68: (EM) log likelihood = -28645.933
Iteration 69: (EM) log likelihood = -28641.821
Iteration 70: (EM) log likelihood = -28637.832
Iteration 71: (EM) log likelihood = -28633.62
Iteration 72: (EM) log likelihood = -28631.539
Iteration 73: (EM) log likelihood = -28629.324
Iteration 74: (EM) log likelihood = -28626.767
Iteration 75: (EM) log likelihood = -28624.817
Iteration 76: (EM) log likelihood = -28622.602
Iteration 77: (EM) log likelihood = -28620.561
Iteration 78: (EM) log likelihood = -28618.638
Iteration 79: (EM) log likelihood = -28616.54
Iteration 80: (EM) log likelihood = -28615.157
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.4668
Iteration 1: (class) log likelihood = -6097.4668
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29883.873
Iteration 1: (outcome) log likelihood = -29215.965
Iteration 2: (outcome) log likelihood = -29153.982
Iteration 3: (outcome) log likelihood = -29132.767
Iteration 4: (outcome) log likelihood = -29128.953
Iteration 5: (outcome) log likelihood = -29127.978
Iteration 6: (outcome) log likelihood = -29127.809
Iteration 7: (outcome) log likelihood = -29127.77
Iteration 8: (outcome) log likelihood = -29127.761
Iteration 9: (outcome) log likelihood = -29127.759
Iteration 10: (outcome) log likelihood = -29127.759
Iteration 11: (outcome) log likelihood = -29127.758
Iteration 12: (outcome) log likelihood = -29127.758
Refining starting values:
Iteration 0: (EM) log likelihood = -35208.294
Iteration 1: (EM) log likelihood = -35136.038
Iteration 2: (EM) log likelihood = -34877.236
Iteration 3: (EM) log likelihood = -34134.315
Iteration 4: (EM) log likelihood = -32975.399
Iteration 5: (EM) log likelihood = -32123.149
Iteration 6: (EM) log likelihood = -31644.877
Iteration 7: (EM) log likelihood = -31317.137
Iteration 8: (EM) log likelihood = -31020.265
Iteration 9: (EM) log likelihood = -30720.126
Iteration 10: (EM) log likelihood = -30433.868
Iteration 11: (EM) log likelihood = -30189.071
Iteration 12: (EM) log likelihood = -29994.092
Iteration 13: (EM) log likelihood = -29836.682
Iteration 14: (EM) log likelihood = -29706.4
Iteration 15: (EM) log likelihood = -29596.7
Iteration 16: (EM) log likelihood = -29501.143
Iteration 17: (EM) log likelihood = -29418.131
Iteration 18: (EM) log likelihood = -29343.038
Iteration 19: (EM) log likelihood = -29278.813
Iteration 20: (EM) log likelihood = -29222.43
Iteration 21: (EM) log likelihood = -29174.558
Iteration 22: (EM) log likelihood = -29135.611
Iteration 23: (EM) log likelihood = -29103.239
Iteration 24: (EM) log likelihood = -29077.388
Iteration 25: (EM) log likelihood = -29056.445
Iteration 26: (EM) log likelihood = -29039.299
Iteration 27: (EM) log likelihood = -29025.431
Iteration 28: (EM) log likelihood = -29014.096
Iteration 29: (EM) log likelihood = -29005.551
Iteration 30: (EM) log likelihood = -28997.344
Iteration 31: (EM) log likelihood = -28990.49
Iteration 32: (EM) log likelihood = -28984.23
Iteration 33: (EM) log likelihood = -28978.556
Iteration 34: (EM) log likelihood = -28972.919
Iteration 35: (EM) log likelihood = -28967.676
Iteration 36: (EM) log likelihood = -28962.639
Iteration 37: (EM) log likelihood = -28957.909
Iteration 38: (EM) log likelihood = -28953.097
Iteration 39: (EM) log likelihood = -28948.329
Iteration 40: (EM) log likelihood = -28942.706
Iteration 41: (EM) log likelihood = -28937.817
Iteration 42: (EM) log likelihood = -28932.699
Iteration 43: (EM) log likelihood = -28927.992
Iteration 44: (EM) log likelihood = -28923.184
Iteration 45: (EM) log likelihood = -28918.476
Iteration 46: (EM) log likelihood = -28913.874
Iteration 47: (EM) log likelihood = -28909.309
Iteration 48: (EM) log likelihood = -28904.919
Iteration 49: (EM) log likelihood = -28900.881
Iteration 50: (EM) log likelihood = -28896.673
Iteration 51: (EM) log likelihood = -28892.587
Iteration 52: (EM) log likelihood = -28888.076
Iteration 53: (EM) log likelihood = -28883.805
Iteration 54: (EM) log likelihood = -28880.358
Iteration 55: (EM) log likelihood = -28877.485
Iteration 56: (EM) log likelihood = -28874.017
Iteration 57: (EM) log likelihood = -28870.347
Iteration 58: (EM) log likelihood = -28866.981
Iteration 59: (EM) log likelihood = -28864.14
Iteration 60: (EM) log likelihood = -28861.155
Iteration 61: (EM) log likelihood = -28857.676
Iteration 62: (EM) log likelihood = -28854.928
Iteration 63: (EM) log likelihood = -28852.491
Iteration 64: (EM) log likelihood = -28850.266
Iteration 65: (EM) log likelihood = -28847.735
Iteration 66: (EM) log likelihood = -28845.746
Iteration 67: (EM) log likelihood = -28844.446
Iteration 68: (EM) log likelihood = -28842.381
Iteration 69: (EM) log likelihood = -28840.074
Iteration 70: (EM) log likelihood = -28838.122
Iteration 71: (EM) log likelihood = -28836.345
Iteration 72: (EM) log likelihood = -28834.176
Iteration 73: (EM) log likelihood = -28832.541
Iteration 74: (EM) log likelihood = -28830.119
Iteration 75: (EM) log likelihood = -28828.083
Iteration 76: (EM) log likelihood = -28825.971
Iteration 77: (EM) log likelihood = -28823.942
Iteration 78: (EM) log likelihood = -28821.958
Iteration 79: (EM) log likelihood = -28820.08
Iteration 80: (EM) log likelihood = -28818.076
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.3558
Iteration 1: (class) log likelihood = -6097.3558
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29127.648
Iteration 1: (outcome) log likelihood = -29127.648
Refining starting values:
Iteration 0: (EM) log likelihood = -35211.154
Iteration 1: (EM) log likelihood = -35165.061
Iteration 2: (EM) log likelihood = -35039.348
Iteration 3: (EM) log likelihood = -34712.201
Iteration 4: (EM) log likelihood = -34024.942
Iteration 5: (EM) log likelihood = -33040.371
Iteration 6: (EM) log likelihood = -32065.835
Iteration 7: (EM) log likelihood = -31296.829
Iteration 8: (EM) log likelihood = -30727.331
Iteration 9: (EM) log likelihood = -30316.606
Iteration 10: (EM) log likelihood = -30028.851
Iteration 11: (EM) log likelihood = -29828.1
Iteration 12: (EM) log likelihood = -29688.948
Iteration 13: (EM) log likelihood = -29593.496
Iteration 14: (EM) log likelihood = -29525.446
Iteration 15: (EM) log likelihood = -29475.048
Iteration 16: (EM) log likelihood = -29434.101
Iteration 17: (EM) log likelihood = -29398.539
Iteration 18: (EM) log likelihood = -29365.922
Iteration 19: (EM) log likelihood = -29335.575
Iteration 20: (EM) log likelihood = -29307.011
Iteration 21: (EM) log likelihood = -29280.921
Iteration 22: (EM) log likelihood = -29257.643
Iteration 23: (EM) log likelihood = -29236.904
Iteration 24: (EM) log likelihood = -29218.445
Iteration 25: (EM) log likelihood = -29202.095
Iteration 26: (EM) log likelihood = -29187.533
Iteration 27: (EM) log likelihood = -29174.318
Iteration 28: (EM) log likelihood = -29162.44
Iteration 29: (EM) log likelihood = -29151.232
Iteration 30: (EM) log likelihood = -29140.036
Iteration 31: (EM) log likelihood = -29129.974
Iteration 32: (EM) log likelihood = -29120.459
Iteration 33: (EM) log likelihood = -29110.277
Iteration 34: (EM) log likelihood = -29100.616
Iteration 35: (EM) log likelihood = -29089.963
Iteration 36: (EM) log likelihood = -29078.924
Iteration 37: (EM) log likelihood = -29067.346
Iteration 38: (EM) log likelihood = -29055.51
Iteration 39: (EM) log likelihood = -29042.956
Iteration 40: (EM) log likelihood = -29031.004
Iteration 41: (EM) log likelihood = -29019.622
Iteration 42: (EM) log likelihood = -29010.725
Iteration 43: (EM) log likelihood = -29001.468
Iteration 44: (EM) log likelihood = -28993.856
Iteration 45: (EM) log likelihood = -28985.989
Iteration 46: (EM) log likelihood = -28980.391
Iteration 47: (EM) log likelihood = -28974.909
Iteration 48: (EM) log likelihood = -28969.188
Iteration 49: (EM) log likelihood = -28965.066
Iteration 50: (EM) log likelihood = -28961.329
Iteration 51: (EM) log likelihood = -28956.132
Iteration 52: (EM) log likelihood = -28951.298
Iteration 53: (EM) log likelihood = -28946.621
Iteration 54: (EM) log likelihood = -28941.482
Iteration 55: (EM) log likelihood = -28939.719
Iteration 56: (EM) log likelihood = -28933.283
Iteration 57: (EM) log likelihood = -28929.839
Iteration 58: (EM) log likelihood = -28923.751
Iteration 59: (EM) log likelihood = -28916.668
Iteration 60: (EM) log likelihood = -28911.541
Iteration 61: (EM) log likelihood = -28906.751
Iteration 62: (EM) log likelihood = -28900.947
Iteration 63: (EM) log likelihood = -28896.198
Iteration 64: (EM) log likelihood = -28889.517
Iteration 65: (EM) log likelihood = -28884.823
Iteration 66: (EM) log likelihood = -28878.122
Iteration 67: (EM) log likelihood = -28873.544
Iteration 68: (EM) log likelihood = -28866.366
Iteration 69: (EM) log likelihood = -28862.635
Iteration 70: (EM) log likelihood = -28857.394
Iteration 71: (EM) log likelihood = -28853.272
Iteration 72: (EM) log likelihood = -28848.178
Iteration 73: (EM) log likelihood = -28845.533
Iteration 74: (EM) log likelihood = -28840.596
Iteration 75: (EM) log likelihood = -28834.792
Iteration 76: (EM) log likelihood = -28831.712
Iteration 77: (EM) log likelihood = -28826.81
Iteration 78: (EM) log likelihood = -28823.169
Iteration 79: (EM) log likelihood = -28819.577
Iteration 80: (EM) log likelihood = -28817.672
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6095.5861
Iteration 1: (class) log likelihood = -6095.5861
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29140.751
Iteration 1: (outcome) log likelihood = -29140.751
Refining starting values:
Iteration 0: (EM) log likelihood = -35225.155
Iteration 1: (EM) log likelihood = -35170.34
Iteration 2: (EM) log likelihood = -34958.836
Iteration 3: (EM) log likelihood = -34311.773
Iteration 4: (EM) log likelihood = -33209.157
Iteration 5: (EM) log likelihood = -32224.013
Iteration 6: (EM) log likelihood = -31519.496
Iteration 7: (EM) log likelihood = -30990.794
Iteration 8: (EM) log likelihood = -30599.444
Iteration 9: (EM) log likelihood = -30318.653
Iteration 10: (EM) log likelihood = -30119.628
Iteration 11: (EM) log likelihood = -29975.881
Iteration 12: (EM) log likelihood = -29862.693
Iteration 13: (EM) log likelihood = -29767.822
Iteration 14: (EM) log likelihood = -29680.763
Iteration 15: (EM) log likelihood = -29604.708
Iteration 16: (EM) log likelihood = -29536.505
Iteration 17: (EM) log likelihood = -29478.233
Iteration 18: (EM) log likelihood = -29430.144
Iteration 19: (EM) log likelihood = -29387.91
Iteration 20: (EM) log likelihood = -29348.205
Iteration 21: (EM) log likelihood = -29312.425
Iteration 22: (EM) log likelihood = -29278.22
Iteration 23: (EM) log likelihood = -29245.544
Iteration 24: (EM) log likelihood = -29215.773
Iteration 25: (EM) log likelihood = -29188.415
Iteration 26: (EM) log likelihood = -29161.695
Iteration 27: (EM) log likelihood = -29136.825
Iteration 28: (EM) log likelihood = -29113.176
Iteration 29: (EM) log likelihood = -29091.256
Iteration 30: (EM) log likelihood = -29070.638
Iteration 31: (EM) log likelihood = -29049.976
Iteration 32: (EM) log likelihood = -29029.039
Iteration 33: (EM) log likelihood = -29008.321
Iteration 34: (EM) log likelihood = -28988.979
Iteration 35: (EM) log likelihood = -28967.856
Iteration 36: (EM) log likelihood = -28946.78
Iteration 37: (EM) log likelihood = -28924.812
Iteration 38: (EM) log likelihood = -28902.835
Iteration 39: (EM) log likelihood = -28880.023
Iteration 40: (EM) log likelihood = -28858.257
Iteration 41: (EM) log likelihood = -28835.461
Iteration 42: (EM) log likelihood = -28813.26
Iteration 43: (EM) log likelihood = -28791.299
Iteration 44: (EM) log likelihood = -28770.013
Iteration 45: (EM) log likelihood = -28748.929
Iteration 46: (EM) log likelihood = -28729.485
Iteration 47: (EM) log likelihood = -28711.101
Iteration 48: (EM) log likelihood = -28694.055
Iteration 49: (EM) log likelihood = -28677.982
Iteration 50: (EM) log likelihood = -28663.636
Iteration 51: (EM) log likelihood = -28650.428
Iteration 52: (EM) log likelihood = -28638.322
Iteration 53: (EM) log likelihood = -28627.041
Iteration 54: (EM) log likelihood = -28616.613
Iteration 55: (EM) log likelihood = -28607.066
Iteration 56: (EM) log likelihood = -28598.008
Iteration 57: (EM) log likelihood = -28589.611
Iteration 58: (EM) log likelihood = -28581.822
Iteration 59: (EM) log likelihood = -28574.447
Iteration 60: (EM) log likelihood = -28567.291
Iteration 61: (EM) log likelihood = -28560.708
Iteration 62: (EM) log likelihood = -28554.361
Iteration 63: (EM) log likelihood = -28546.372
Iteration 64: (EM) log likelihood = -28540.258
Iteration 65: (EM) log likelihood = -28535.508
Iteration 66: (EM) log likelihood = -28530.165
Iteration 67: (EM) log likelihood = -28525.277
Iteration 68: (EM) log likelihood = -28520.185
Iteration 69: (EM) log likelihood = -28517.121
Iteration 70: (EM) log likelihood = -28512.448
Iteration 71: (EM) log likelihood = -28506.961
Iteration 72: (EM) log likelihood = -28502.447
Iteration 73: (EM) log likelihood = -28498.046
Iteration 74: (EM) log likelihood = -28494.211
Iteration 75: (EM) log likelihood = -28489.988
Iteration 76: (EM) log likelihood = -28484.417
Iteration 77: (EM) log likelihood = -28481.448
Iteration 78: (EM) log likelihood = -28477.475
Iteration 79: (EM) log likelihood = -28473.331
Iteration 80: (EM) log likelihood = -28469.798
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.1263
Iteration 1: (class) log likelihood = -6097.1263
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29863.312
Iteration 1: (outcome) log likelihood = -29284.655
Iteration 2: (outcome) log likelihood = -29147.656
Iteration 3: (outcome) log likelihood = -29121.571
Iteration 4: (outcome) log likelihood = -29116.351
Iteration 5: (outcome) log likelihood = -29115.249
Iteration 6: (outcome) log likelihood = -29114.995
Iteration 7: (outcome) log likelihood = -29114.934
Iteration 8: (outcome) log likelihood = -29114.922
Iteration 9: (outcome) log likelihood = -29114.92
Iteration 10: (outcome) log likelihood = -29114.919
Iteration 11: (outcome) log likelihood = -29114.919
Iteration 12: (outcome) log likelihood = -29114.919
Refining starting values:
Iteration 0: (EM) log likelihood = -35201.357
Iteration 1: (EM) log likelihood = -35147.163
Iteration 2: (EM) log likelihood = -34958.549
Iteration 3: (EM) log likelihood = -34424.038
Iteration 4: (EM) log likelihood = -33508.516
Iteration 5: (EM) log likelihood = -32631.543
Iteration 6: (EM) log likelihood = -31964.58
Iteration 7: (EM) log likelihood = -31439.405
Iteration 8: (EM) log likelihood = -31028.986
Iteration 9: (EM) log likelihood = -30719.318
Iteration 10: (EM) log likelihood = -30482.135
Iteration 11: (EM) log likelihood = -30291.267
Iteration 12: (EM) log likelihood = -30123.893
Iteration 13: (EM) log likelihood = -29966.588
Iteration 14: (EM) log likelihood = -29812.028
Iteration 15: (EM) log likelihood = -29667.809
Iteration 16: (EM) log likelihood = -29535.084
Iteration 17: (EM) log likelihood = -29420.063
Iteration 18: (EM) log likelihood = -29326.216
Iteration 19: (EM) log likelihood = -29250.555
Iteration 20: (EM) log likelihood = -29189.567
Iteration 21: (EM) log likelihood = -29138.548
Iteration 22: (EM) log likelihood = -29093.582
Iteration 23: (EM) log likelihood = -29053.99
Iteration 24: (EM) log likelihood = -29018.486
Iteration 25: (EM) log likelihood = -28986.836
Iteration 26: (EM) log likelihood = -28958.145
Iteration 27: (EM) log likelihood = -28932.751
Iteration 28: (EM) log likelihood = -28909.018
Iteration 29: (EM) log likelihood = -28886.762
Iteration 30: (EM) log likelihood = -28866.943
Iteration 31: (EM) log likelihood = -28848.95
Iteration 32: (EM) log likelihood = -28832.562
Iteration 33: (EM) log likelihood = -28818.078
Iteration 34: (EM) log likelihood = -28805.379
Iteration 35: (EM) log likelihood = -28792.821
Iteration 36: (EM) log likelihood = -28783.09
Iteration 37: (EM) log likelihood = -28774.039
Iteration 38: (EM) log likelihood = -28764.962
Iteration 39: (EM) log likelihood = -28756.944
Iteration 40: (EM) log likelihood = -28749.567
Iteration 41: (EM) log likelihood = -28742.036
Iteration 42: (EM) log likelihood = -28734.143
Iteration 43: (EM) log likelihood = -28726.206
Iteration 44: (EM) log likelihood = -28717.873
Iteration 45: (EM) log likelihood = -28709.322
Iteration 46: (EM) log likelihood = -28700.277
Iteration 47: (EM) log likelihood = -28690.199
Iteration 48: (EM) log likelihood = -28678.263
Iteration 49: (EM) log likelihood = -28664.07
Iteration 50: (EM) log likelihood = -28647.784
Iteration 51: (EM) log likelihood = -28630.977
Iteration 52: (EM) log likelihood = -28612.509
Iteration 53: (EM) log likelihood = -28594.588
Iteration 54: (EM) log likelihood = -28576.986
Iteration 55: (EM) log likelihood = -28559.921
Iteration 56: (EM) log likelihood = -28543.479
Iteration 57: (EM) log likelihood = -28527.87
Iteration 58: (EM) log likelihood = -28512.72
Iteration 59: (EM) log likelihood = -28498.227
Iteration 60: (EM) log likelihood = -28484.72
Iteration 61: (EM) log likelihood = -28471.775
Iteration 62: (EM) log likelihood = -28458.843
Iteration 63: (EM) log likelihood = -28446.489
Iteration 64: (EM) log likelihood = -28434.728
Iteration 65: (EM) log likelihood = -28422.782
Iteration 66: (EM) log likelihood = -28410.611
Iteration 67: (EM) log likelihood = -28400.225
Iteration 68: (EM) log likelihood = -28390.224
Iteration 69: (EM) log likelihood = -28380.706
Iteration 70: (EM) log likelihood = -28370.993
Iteration 71: (EM) log likelihood = -28362.403
Iteration 72: (EM) log likelihood = -28353.899
Iteration 73: (EM) log likelihood = -28346.559
Iteration 74: (EM) log likelihood = -28339.471
Iteration 75: (EM) log likelihood = -28333.085
Iteration 76: (EM) log likelihood = -28326.754
Iteration 77: (EM) log likelihood = -28320.795
Iteration 78: (EM) log likelihood = -28315.628
Iteration 79: (EM) log likelihood = -28310.312
Iteration 80: (EM) log likelihood = -28305.155
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.9465
Iteration 1: (class) log likelihood = -6096.9465
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29355.39
Iteration 1: (outcome) log likelihood = -29184.64
Iteration 2: (outcome) log likelihood = -29128.483
Iteration 3: (outcome) log likelihood = -29120.434
Iteration 4: (outcome) log likelihood = -29118.466
Iteration 5: (outcome) log likelihood = -29118.048
Iteration 6: (outcome) log likelihood = -29117.96
Iteration 7: (outcome) log likelihood = -29117.941
Iteration 8: (outcome) log likelihood = -29117.936
Iteration 9: (outcome) log likelihood = -29117.935
Iteration 10: (outcome) log likelihood = -29117.934
Iteration 11: (outcome) log likelihood = -29117.934
Iteration 12: (outcome) log likelihood = -29117.934
Refining starting values:
Iteration 0: (EM) log likelihood = -35183.961
Iteration 1: (EM) log likelihood = -35037.301
Iteration 2: (EM) log likelihood = -34493.975
Iteration 3: (EM) log likelihood = -33376.437
Iteration 4: (EM) log likelihood = -32366.202
Iteration 5: (EM) log likelihood = -31712.758
Iteration 6: (EM) log likelihood = -31237.132
Iteration 7: (EM) log likelihood = -30876.132
Iteration 8: (EM) log likelihood = -30606.853
Iteration 9: (EM) log likelihood = -30407.62
Iteration 10: (EM) log likelihood = -30253.461
Iteration 11: (EM) log likelihood = -30131.325
Iteration 12: (EM) log likelihood = -30027.594
Iteration 13: (EM) log likelihood = -29938.892
Iteration 14: (EM) log likelihood = -29865.853
Iteration 15: (EM) log likelihood = -29803.282
Iteration 16: (EM) log likelihood = -29746.71
Iteration 17: (EM) log likelihood = -29698.769
Iteration 18: (EM) log likelihood = -29655.893
Iteration 19: (EM) log likelihood = -29618.643
Iteration 20: (EM) log likelihood = -29586.785
Iteration 21: (EM) log likelihood = -29559.057
Iteration 22: (EM) log likelihood = -29534.784
Iteration 23: (EM) log likelihood = -29512.951
Iteration 24: (EM) log likelihood = -29492.448
Iteration 25: (EM) log likelihood = -29472.846
Iteration 26: (EM) log likelihood = -29452.499
Iteration 27: (EM) log likelihood = -29430.811
Iteration 28: (EM) log likelihood = -29406.556
Iteration 29: (EM) log likelihood = -29379.599
Iteration 30: (EM) log likelihood = -29349.81
Iteration 31: (EM) log likelihood = -29318.09
Iteration 32: (EM) log likelihood = -29283.687
Iteration 33: (EM) log likelihood = -29248.379
Iteration 34: (EM) log likelihood = -29211.866
Iteration 35: (EM) log likelihood = -29175.447
Iteration 36: (EM) log likelihood = -29137.534
Iteration 37: (EM) log likelihood = -29102.603
Iteration 38: (EM) log likelihood = -29064.964
Iteration 39: (EM) log likelihood = -29030.939
Iteration 40: (EM) log likelihood = -28996.33
Iteration 41: (EM) log likelihood = -28961.366
Iteration 42: (EM) log likelihood = -28927.175
Iteration 43: (EM) log likelihood = -28896.801
Iteration 44: (EM) log likelihood = -28867.255
Iteration 45: (EM) log likelihood = -28836.513
Iteration 46: (EM) log likelihood = -28809.741
Iteration 47: (EM) log likelihood = -28781.696
Iteration 48: (EM) log likelihood = -28756.709
Iteration 49: (EM) log likelihood = -28732.925
Iteration 50: (EM) log likelihood = -28707.531
Iteration 51: (EM) log likelihood = -28682.888
Iteration 52: (EM) log likelihood = -28659.22
Iteration 53: (EM) log likelihood = -28640.028
Iteration 54: (EM) log likelihood = -28621.668
Iteration 55: (EM) log likelihood = -28602.706
Iteration 56: (EM) log likelihood = -28587.784
Iteration 57: (EM) log likelihood = -28571.515
Iteration 58: (EM) log likelihood = -28559.732
Iteration 59: (EM) log likelihood = -28545.859
Iteration 60: (EM) log likelihood = -28532.961
Iteration 61: (EM) log likelihood = -28526.955
Iteration 62: (EM) log likelihood = -28515.643
Iteration 63: (EM) log likelihood = -28505.408
Iteration 64: (EM) log likelihood = -28494.379
Iteration 65: (EM) log likelihood = -28485.395
Iteration 66: (EM) log likelihood = -28477.65
Iteration 67: (EM) log likelihood = -28469.808
Iteration 68: (EM) log likelihood = -28462.725
Iteration 69: (EM) log likelihood = -28456.878
Iteration 70: (EM) log likelihood = -28451.254
Iteration 71: (EM) log likelihood = -28446.018
Iteration 72: (EM) log likelihood = -28441.903
Iteration 73: (EM) log likelihood = -28437.054
Iteration 74: (EM) log likelihood = -28432.458
Iteration 75: (EM) log likelihood = -28428.342
Iteration 76: (EM) log likelihood = -28422.294
Iteration 77: (EM) log likelihood = -28418.443
Iteration 78: (EM) log likelihood = -28411.4
Iteration 79: (EM) log likelihood = -28407.812
Iteration 80: (EM) log likelihood = -28400.958
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.8881
Iteration 1: (class) log likelihood = -6096.8881
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29555.972
Iteration 1: (outcome) log likelihood = -29202.702
Iteration 2: (outcome) log likelihood = -29141.185
Iteration 3: (outcome) log likelihood = -29131.391
Iteration 4: (outcome) log likelihood = -29129.234
Iteration 5: (outcome) log likelihood = -29128.771
Iteration 6: (outcome) log likelihood = -29128.697
Iteration 7: (outcome) log likelihood = -29128.679
Iteration 8: (outcome) log likelihood = -29128.675
Iteration 9: (outcome) log likelihood = -29128.674
Iteration 10: (outcome) log likelihood = -29128.674
Iteration 11: (outcome) log likelihood = -29128.674
Iteration 12: (outcome) log likelihood = -29128.674
Refining starting values:
Iteration 0: (EM) log likelihood = -35206.69
Iteration 1: (EM) log likelihood = -35131.244
Iteration 2: (EM) log likelihood = -34873.751
Iteration 3: (EM) log likelihood = -34178.094
Iteration 4: (EM) log likelihood = -33105.713
Iteration 5: (EM) log likelihood = -32165.293
Iteration 6: (EM) log likelihood = -31476.694
Iteration 7: (EM) log likelihood = -30963.184
Iteration 8: (EM) log likelihood = -30585.995
Iteration 9: (EM) log likelihood = -30311.273
Iteration 10: (EM) log likelihood = -30113.404
Iteration 11: (EM) log likelihood = -29966.024
Iteration 12: (EM) log likelihood = -29850.229
Iteration 13: (EM) log likelihood = -29755.583
Iteration 14: (EM) log likelihood = -29678.805
Iteration 15: (EM) log likelihood = -29617.135
Iteration 16: (EM) log likelihood = -29567.625
Iteration 17: (EM) log likelihood = -29528.324
Iteration 18: (EM) log likelihood = -29497.122
Iteration 19: (EM) log likelihood = -29472.436
Iteration 20: (EM) log likelihood = -29452.597
Iteration 21: (EM) log likelihood = -29436.162
Iteration 22: (EM) log likelihood = -29422.602
Iteration 23: (EM) log likelihood = -29410.722
Iteration 24: (EM) log likelihood = -29400.416
Iteration 25: (EM) log likelihood = -29391.109
Iteration 26: (EM) log likelihood = -29382.62
Iteration 27: (EM) log likelihood = -29374.442
Iteration 28: (EM) log likelihood = -29366.133
Iteration 29: (EM) log likelihood = -29357.556
Iteration 30: (EM) log likelihood = -29348.646
Iteration 31: (EM) log likelihood = -29338.72
Iteration 32: (EM) log likelihood = -29327.618
Iteration 33: (EM) log likelihood = -29315.532
Iteration 34: (EM) log likelihood = -29301.951
Iteration 35: (EM) log likelihood = -29286.817
Iteration 36: (EM) log likelihood = -29270.431
Iteration 37: (EM) log likelihood = -29253.084
Iteration 38: (EM) log likelihood = -29234.141
Iteration 39: (EM) log likelihood = -29214.294
Iteration 40: (EM) log likelihood = -29194.129
Iteration 41: (EM) log likelihood = -29173.087
Iteration 42: (EM) log likelihood = -29151.585
Iteration 43: (EM) log likelihood = -29129.754
Iteration 44: (EM) log likelihood = -29107.727
Iteration 45: (EM) log likelihood = -29086.045
Iteration 46: (EM) log likelihood = -29064.769
Iteration 47: (EM) log likelihood = -29044.406
Iteration 48: (EM) log likelihood = -29026.002
Iteration 49: (EM) log likelihood = -29008.031
Iteration 50: (EM) log likelihood = -28991.677
Iteration 51: (EM) log likelihood = -28977.096
Iteration 52: (EM) log likelihood = -28964.589
Iteration 53: (EM) log likelihood = -28954.211
Iteration 54: (EM) log likelihood = -28945.842
Iteration 55: (EM) log likelihood = -28939.464
Iteration 56: (EM) log likelihood = -28934.788
Iteration 57: (EM) log likelihood = -28931.317
Iteration 58: (EM) log likelihood = -28929.388
Iteration 59: (EM) log likelihood = -28928.398
Iteration 60: (EM) log likelihood = -28928.148
Iteration 61: (EM) log likelihood = -28928.62
Iteration 62: (EM) log likelihood = -28929.953
Iteration 63: (EM) log likelihood = -28931.479
Iteration 64: (EM) log likelihood = -28932.893
Iteration 65: (EM) log likelihood = -28934.31
Iteration 66: (EM) log likelihood = -28937.218
Iteration 67: (EM) log likelihood = -28939.812
Iteration 68: (EM) log likelihood = -28941.739
Iteration 69: (EM) log likelihood = -28943.982
Iteration 70: (EM) log likelihood = -28946.479
Iteration 71: (EM) log likelihood = -28948.852
Iteration 72: (EM) log likelihood = -28951.094
Iteration 73: (EM) log likelihood = -28951.854
Iteration 74: (EM) log likelihood = -28954.818
Iteration 75: (EM) log likelihood = -28957.509
Iteration 76: (EM) log likelihood = -28959.664
Iteration 77: (EM) log likelihood = -28961.997
Iteration 78: (EM) log likelihood = -28963.966
Iteration 79: (EM) log likelihood = -28965.806
Iteration 80: (EM) log likelihood = -28967.6
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.7964
Iteration 1: (class) log likelihood = -6097.7964
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29113.626
Iteration 1: (outcome) log likelihood = -29113.626
Refining starting values:
Iteration 0: (EM) log likelihood = -35194.243
Iteration 1: (EM) log likelihood = -35129.875
Iteration 2: (EM) log likelihood = -34935.38
Iteration 3: (EM) log likelihood = -34453.214
Iteration 4: (EM) log likelihood = -33621.327
Iteration 5: (EM) log likelihood = -32730.579
Iteration 6: (EM) log likelihood = -32062.884
Iteration 7: (EM) log likelihood = -31584.57
Iteration 8: (EM) log likelihood = -31198.021
Iteration 9: (EM) log likelihood = -30851.816
Iteration 10: (EM) log likelihood = -30527.945
Iteration 11: (EM) log likelihood = -30227.064
Iteration 12: (EM) log likelihood = -29963.64
Iteration 13: (EM) log likelihood = -29755.491
Iteration 14: (EM) log likelihood = -29605.18
Iteration 15: (EM) log likelihood = -29502.016
Iteration 16: (EM) log likelihood = -29424.861
Iteration 17: (EM) log likelihood = -29368.183
Iteration 18: (EM) log likelihood = -29321.017
Iteration 19: (EM) log likelihood = -29279.641
Iteration 20: (EM) log likelihood = -29243.726
Iteration 21: (EM) log likelihood = -29212.391
Iteration 22: (EM) log likelihood = -29185.924
Iteration 23: (EM) log likelihood = -29164.149
Iteration 24: (EM) log likelihood = -29146.603
Iteration 25: (EM) log likelihood = -29133.479
Iteration 26: (EM) log likelihood = -29122.463
Iteration 27: (EM) log likelihood = -29113.617
Iteration 28: (EM) log likelihood = -29106.996
Iteration 29: (EM) log likelihood = -29101.947
Iteration 30: (EM) log likelihood = -29096.925
Iteration 31: (EM) log likelihood = -29094.264
Iteration 32: (EM) log likelihood = -29091.575
Iteration 33: (EM) log likelihood = -29088.91
Iteration 34: (EM) log likelihood = -29087.083
Iteration 35: (EM) log likelihood = -29085.045
Iteration 36: (EM) log likelihood = -29083.124
Iteration 37: (EM) log likelihood = -29082.412
Iteration 38: (EM) log likelihood = -29080.298
Iteration 39: (EM) log likelihood = -29078.757
Iteration 40: (EM) log likelihood = -29078.191
Iteration 41: (EM) log likelihood = -29077.091
Iteration 42: (EM) log likelihood = -29076.211
Iteration 43: (EM) log likelihood = -29074.805
Iteration 44: (EM) log likelihood = -29074.078
Iteration 45: (EM) log likelihood = -29073.313
Iteration 46: (EM) log likelihood = -29071.463
Iteration 47: (EM) log likelihood = -29071.17
Iteration 48: (EM) log likelihood = -29070.593
Iteration 49: (EM) log likelihood = -29069.736
Iteration 50: (EM) log likelihood = -29069.362
Iteration 51: (EM) log likelihood = -29068.3
Iteration 52: (EM) log likelihood = -29067.039
Iteration 53: (EM) log likelihood = -29067.153
Iteration 54: (EM) log likelihood = -29066.092
Iteration 55: (EM) log likelihood = -29065.474
Iteration 56: (EM) log likelihood = -29064.776
Iteration 57: (EM) log likelihood = -29063.075
Iteration 58: (EM) log likelihood = -29062.854
Iteration 59: (EM) log likelihood = -29062.234
Iteration 60: (EM) log likelihood = -29061.595
Iteration 61: (EM) log likelihood = -29060.968
Iteration 62: (EM) log likelihood = -29060.345
Iteration 63: (EM) log likelihood = -29059.7
Iteration 64: (EM) log likelihood = -29059.055
Iteration 65: (EM) log likelihood = -29058.858
Iteration 66: (EM) log likelihood = -29058.257
Iteration 67: (EM) log likelihood = -29057.538
Iteration 68: (EM) log likelihood = -29057.391
Iteration 69: (EM) log likelihood = -29056.503
Iteration 70: (EM) log likelihood = -29055.745
Iteration 71: (EM) log likelihood = -29054.954
Iteration 72: (EM) log likelihood = -29054.369
Iteration 73: (EM) log likelihood = -29053.704
Iteration 74: (EM) log likelihood = -29053.049
Iteration 75: (EM) log likelihood = -29052.435
Iteration 76: (EM) log likelihood = -29051.808
Iteration 77: (EM) log likelihood = -29051.154
Iteration 78: (EM) log likelihood = -29050.266
Iteration 79: (EM) log likelihood = -29049.938
Iteration 80: (EM) log likelihood = -29048.924
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6094.0708
Iteration 1: (class) log likelihood = -6094.0708
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29135.212
Iteration 1: (outcome) log likelihood = -29135.212
Refining starting values:
Iteration 0: (EM) log likelihood = -35222.337
Iteration 1: (EM) log likelihood = -35187.705
Iteration 2: (EM) log likelihood = -35068.01
Iteration 3: (EM) log likelihood = -34674.576
Iteration 4: (EM) log likelihood = -33778.938
Iteration 5: (EM) log likelihood = -32781.633
Iteration 6: (EM) log likelihood = -32135.06
Iteration 7: (EM) log likelihood = -31745.676
Iteration 8: (EM) log likelihood = -31469.208
Iteration 9: (EM) log likelihood = -31198.205
Iteration 10: (EM) log likelihood = -30870.144
Iteration 11: (EM) log likelihood = -30504.002
Iteration 12: (EM) log likelihood = -30183.833
Iteration 13: (EM) log likelihood = -29948.027
Iteration 14: (EM) log likelihood = -29784.416
Iteration 15: (EM) log likelihood = -29667.536
Iteration 16: (EM) log likelihood = -29580.485
Iteration 17: (EM) log likelihood = -29516.195
Iteration 18: (EM) log likelihood = -29464.57
Iteration 19: (EM) log likelihood = -29420.705
Iteration 20: (EM) log likelihood = -29383.986
Iteration 21: (EM) log likelihood = -29352.199
Iteration 22: (EM) log likelihood = -29323.414
Iteration 23: (EM) log likelihood = -29296.329
Iteration 24: (EM) log likelihood = -29269.864
Iteration 25: (EM) log likelihood = -29245.294
Iteration 26: (EM) log likelihood = -29221.521
Iteration 27: (EM) log likelihood = -29199.529
Iteration 28: (EM) log likelihood = -29177.166
Iteration 29: (EM) log likelihood = -29154.757
Iteration 30: (EM) log likelihood = -29133.993
Iteration 31: (EM) log likelihood = -29114.035
Iteration 32: (EM) log likelihood = -29095.335
Iteration 33: (EM) log likelihood = -29077.994
Iteration 34: (EM) log likelihood = -29062.163
Iteration 35: (EM) log likelihood = -29047.049
Iteration 36: (EM) log likelihood = -29032.963
Iteration 37: (EM) log likelihood = -29020.15
Iteration 38: (EM) log likelihood = -29008.764
Iteration 39: (EM) log likelihood = -28997.703
Iteration 40: (EM) log likelihood = -28988.534
Iteration 41: (EM) log likelihood = -28979.063
Iteration 42: (EM) log likelihood = -28971.055
Iteration 43: (EM) log likelihood = -28964.121
Iteration 44: (EM) log likelihood = -28957.132
Iteration 45: (EM) log likelihood = -28950.879
Iteration 46: (EM) log likelihood = -28945.164
Iteration 47: (EM) log likelihood = -28939.616
Iteration 48: (EM) log likelihood = -28934.274
Iteration 49: (EM) log likelihood = -28929.524
Iteration 50: (EM) log likelihood = -28924.75
Iteration 51: (EM) log likelihood = -28920.073
Iteration 52: (EM) log likelihood = -28915.715
Iteration 53: (EM) log likelihood = -28911.424
Iteration 54: (EM) log likelihood = -28907.235
Iteration 55: (EM) log likelihood = -28902.104
Iteration 56: (EM) log likelihood = -28897.888
Iteration 57: (EM) log likelihood = -28893.593
Iteration 58: (EM) log likelihood = -28888.704
Iteration 59: (EM) log likelihood = -28884.493
Iteration 60: (EM) log likelihood = -28879.747
Iteration 61: (EM) log likelihood = -28874.577
Iteration 62: (EM) log likelihood = -28870.15
Iteration 63: (EM) log likelihood = -28865.597
Iteration 64: (EM) log likelihood = -28860.401
Iteration 65: (EM) log likelihood = -28854.944
Iteration 66: (EM) log likelihood = -28849.203
Iteration 67: (EM) log likelihood = -28844.061
Iteration 68: (EM) log likelihood = -28837.466
Iteration 69: (EM) log likelihood = -28831.199
Iteration 70: (EM) log likelihood = -28824.107
Iteration 71: (EM) log likelihood = -28817.74
Iteration 72: (EM) log likelihood = -28810.796
Iteration 73: (EM) log likelihood = -28804.304
Iteration 74: (EM) log likelihood = -28796.933
Iteration 75: (EM) log likelihood = -28789.572
Iteration 76: (EM) log likelihood = -28782.088
Iteration 77: (EM) log likelihood = -28774.125
Iteration 78: (EM) log likelihood = -28765.788
Iteration 79: (EM) log likelihood = -28757.572
Iteration 80: (EM) log likelihood = -28748.522
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.0637
Iteration 1: (class) log likelihood = -6097.0637
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29404.468
Iteration 1: (outcome) log likelihood = -29203.56
Iteration 2: (outcome) log likelihood = -29133.94
Iteration 3: (outcome) log likelihood = -29125.793
Iteration 4: (outcome) log likelihood = -29124.139
Iteration 5: (outcome) log likelihood = -29123.783
Iteration 6: (outcome) log likelihood = -29123.704
Iteration 7: (outcome) log likelihood = -29123.684
Iteration 8: (outcome) log likelihood = -29123.68
Iteration 9: (outcome) log likelihood = -29123.679
Iteration 10: (outcome) log likelihood = -29123.679
Iteration 11: (outcome) log likelihood = -29123.679
Iteration 12: (outcome) log likelihood = -29123.679
Refining starting values:
Iteration 0: (EM) log likelihood = -35209.814
Iteration 1: (EM) log likelihood = -35166.734
Iteration 2: (EM) log likelihood = -35029.194
Iteration 3: (EM) log likelihood = -34640.697
Iteration 4: (EM) log likelihood = -33853.68
Iteration 5: (EM) log likelihood = -32876.754
Iteration 6: (EM) log likelihood = -32100.296
Iteration 7: (EM) log likelihood = -31572.126
Iteration 8: (EM) log likelihood = -31175.049
Iteration 9: (EM) log likelihood = -30825.083
Iteration 10: (EM) log likelihood = -30440.43
Iteration 11: (EM) log likelihood = -30040.599
Iteration 12: (EM) log likelihood = -29717.507
Iteration 13: (EM) log likelihood = -29495.129
Iteration 14: (EM) log likelihood = -29347.475
Iteration 15: (EM) log likelihood = -29250.471
Iteration 16: (EM) log likelihood = -29180.36
Iteration 17: (EM) log likelihood = -29126.353
Iteration 18: (EM) log likelihood = -29083.221
Iteration 19: (EM) log likelihood = -29048.015
Iteration 20: (EM) log likelihood = -29018.017
Iteration 21: (EM) log likelihood = -28990.941
Iteration 22: (EM) log likelihood = -28968.347
Iteration 23: (EM) log likelihood = -28943.202
Iteration 24: (EM) log likelihood = -28920.596
Iteration 25: (EM) log likelihood = -28898.586
Iteration 26: (EM) log likelihood = -28879.88
Iteration 27: (EM) log likelihood = -28857.442
Iteration 28: (EM) log likelihood = -28841.446
Iteration 29: (EM) log likelihood = -28826.962
Iteration 30: (EM) log likelihood = -28813.999
Iteration 31: (EM) log likelihood = -28797.877
Iteration 32: (EM) log likelihood = -28785.721
Iteration 33: (EM) log likelihood = -28774.273
Iteration 34: (EM) log likelihood = -28761.608
Iteration 35: (EM) log likelihood = -28749.172
Iteration 36: (EM) log likelihood = -28737.9
Iteration 37: (EM) log likelihood = -28727.153
Iteration 38: (EM) log likelihood = -28717.882
Iteration 39: (EM) log likelihood = -28708.646
Iteration 40: (EM) log likelihood = -28698.405
Iteration 41: (EM) log likelihood = -28688.784
Iteration 42: (EM) log likelihood = -28681.469
Iteration 43: (EM) log likelihood = -28672.695
Iteration 44: (EM) log likelihood = -28665.517
Iteration 45: (EM) log likelihood = -28658.112
Iteration 46: (EM) log likelihood = -28649.734
Iteration 47: (EM) log likelihood = -28642.214
Iteration 48: (EM) log likelihood = -28633.982
Iteration 49: (EM) log likelihood = -28625.923
Iteration 50: (EM) log likelihood = -28619.271
Iteration 51: (EM) log likelihood = -28612.74
Iteration 52: (EM) log likelihood = -28606.203
Iteration 53: (EM) log likelihood = -28599.789
Iteration 54: (EM) log likelihood = -28592.648
Iteration 55: (EM) log likelihood = -28587.383
Iteration 56: (EM) log likelihood = -28580.336
Iteration 57: (EM) log likelihood = -28574.496
Iteration 58: (EM) log likelihood = -28568.035
Iteration 59: (EM) log likelihood = -28562.469
Iteration 60: (EM) log likelihood = -28557.184
Iteration 61: (EM) log likelihood = -28552.172
Iteration 62: (EM) log likelihood = -28546.659
Iteration 63: (EM) log likelihood = -28541.919
Iteration 64: (EM) log likelihood = -28536.772
Iteration 65: (EM) log likelihood = -28532.09
Iteration 66: (EM) log likelihood = -28529.643
Iteration 67: (EM) log likelihood = -28524.687
Iteration 68: (EM) log likelihood = -28521.023
Iteration 69: (EM) log likelihood = -28518.59
Iteration 70: (EM) log likelihood = -28516.727
Iteration 71: (EM) log likelihood = -28513.072
Iteration 72: (EM) log likelihood = -28509.031
Iteration 73: (EM) log likelihood = -28505.088
Iteration 74: (EM) log likelihood = -28501.283
Iteration 75: (EM) log likelihood = -28497.983
Iteration 76: (EM) log likelihood = -28494.453
Iteration 77: (EM) log likelihood = -28491.073
Iteration 78: (EM) log likelihood = -28488.934
Iteration 79: (EM) log likelihood = -28485.511
Iteration 80: (EM) log likelihood = -28483.26
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.2825
Iteration 1: (class) log likelihood = -6097.2825
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29818.979
Iteration 1: (outcome) log likelihood = -29260.349
Iteration 2: (outcome) log likelihood = -29153.866
Iteration 3: (outcome) log likelihood = -29131.461
Iteration 4: (outcome) log likelihood = -29126.276
Iteration 5: (outcome) log likelihood = -29125.238
Iteration 6: (outcome) log likelihood = -29125.061
Iteration 7: (outcome) log likelihood = -29125.02
Iteration 8: (outcome) log likelihood = -29125.01
Iteration 9: (outcome) log likelihood = -29125.008
Iteration 10: (outcome) log likelihood = -29125.008
Iteration 11: (outcome) log likelihood = -29125.008
Iteration 12: (outcome) log likelihood = -29125.008
Refining starting values:
Iteration 0: (EM) log likelihood = -35204.915
Iteration 1: (EM) log likelihood = -35140.414
Iteration 2: (EM) log likelihood = -34951.455
Iteration 3: (EM) log likelihood = -34531.279
Iteration 4: (EM) log likelihood = -33865.185
Iteration 5: (EM) log likelihood = -33060.736
Iteration 6: (EM) log likelihood = -32268.889
Iteration 7: (EM) log likelihood = -31516.224
Iteration 8: (EM) log likelihood = -30808.139
Iteration 9: (EM) log likelihood = -30263.782
Iteration 10: (EM) log likelihood = -29926.119
Iteration 11: (EM) log likelihood = -29733.405
Iteration 12: (EM) log likelihood = -29620.973
Iteration 13: (EM) log likelihood = -29557.074
Iteration 14: (EM) log likelihood = -29519.902
Iteration 15: (EM) log likelihood = -29496.008
Iteration 16: (EM) log likelihood = -29479.802
Iteration 17: (EM) log likelihood = -29469.65
Iteration 18: (EM) log likelihood = -29461.239
Iteration 19: (EM) log likelihood = -29452.981
Iteration 20: (EM) log likelihood = -29444.431
Iteration 21: (EM) log likelihood = -29434.094
Iteration 22: (EM) log likelihood = -29421.895
Iteration 23: (EM) log likelihood = -29407.425
Iteration 24: (EM) log likelihood = -29389.83
Iteration 25: (EM) log likelihood = -29369.514
Iteration 26: (EM) log likelihood = -29347.136
Iteration 27: (EM) log likelihood = -29322.979
Iteration 28: (EM) log likelihood = -29297.692
Iteration 29: (EM) log likelihood = -29271.688
Iteration 30: (EM) log likelihood = -29245.748
Iteration 31: (EM) log likelihood = -29220.761
Iteration 32: (EM) log likelihood = -29195.713
Iteration 33: (EM) log likelihood = -29170.841
Iteration 34: (EM) log likelihood = -29146.831
Iteration 35: (EM) log likelihood = -29123.203
Iteration 36: (EM) log likelihood = -29099.614
Iteration 37: (EM) log likelihood = -29076.496
Iteration 38: (EM) log likelihood = -29053.593
Iteration 39: (EM) log likelihood = -29031.735
Iteration 40: (EM) log likelihood = -29010.294
Iteration 41: (EM) log likelihood = -28990.432
Iteration 42: (EM) log likelihood = -28970.406
Iteration 43: (EM) log likelihood = -28950.435
Iteration 44: (EM) log likelihood = -28932.084
Iteration 45: (EM) log likelihood = -28914.773
Iteration 46: (EM) log likelihood = -28897.962
Iteration 47: (EM) log likelihood = -28882.433
Iteration 48: (EM) log likelihood = -28867.865
Iteration 49: (EM) log likelihood = -28854.326
Iteration 50: (EM) log likelihood = -28842.042
Iteration 51: (EM) log likelihood = -28830.999
Iteration 52: (EM) log likelihood = -28821.133
Iteration 53: (EM) log likelihood = -28812.252
Iteration 54: (EM) log likelihood = -28804.381
Iteration 55: (EM) log likelihood = -28797.724
Iteration 56: (EM) log likelihood = -28791.888
Iteration 57: (EM) log likelihood = -28785.604
Iteration 58: (EM) log likelihood = -28781.759
Iteration 59: (EM) log likelihood = -28778.253
Iteration 60: (EM) log likelihood = -28775.013
Iteration 61: (EM) log likelihood = -28772.551
Iteration 62: (EM) log likelihood = -28770.202
Iteration 63: (EM) log likelihood = -28768.057
Iteration 64: (EM) log likelihood = -28765.704
Iteration 65: (EM) log likelihood = -28764.385
Iteration 66: (EM) log likelihood = -28762.556
Iteration 67: (EM) log likelihood = -28760.613
Iteration 68: (EM) log likelihood = -28759.237
Iteration 69: (EM) log likelihood = -28756.937
Iteration 70: (EM) log likelihood = -28755.725
Iteration 71: (EM) log likelihood = -28754.52
Iteration 72: (EM) log likelihood = -28753.204
Iteration 73: (EM) log likelihood = -28752.02
Iteration 74: (EM) log likelihood = -28750.449
Iteration 75: (EM) log likelihood = -28749.057
Iteration 76: (EM) log likelihood = -28747.318
Iteration 77: (EM) log likelihood = -28745.799
Iteration 78: (EM) log likelihood = -28743.808
Iteration 79: (EM) log likelihood = -28742.133
Iteration 80: (EM) log likelihood = -28740.335
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.7453
Iteration 1: (class) log likelihood = -6097.7453
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29525.732
Iteration 1: (outcome) log likelihood = -29189.369
Iteration 2: (outcome) log likelihood = -29125.443
Iteration 3: (outcome) log likelihood = -29116.065
Iteration 4: (outcome) log likelihood = -29113.799
Iteration 5: (outcome) log likelihood = -29113.324
Iteration 6: (outcome) log likelihood = -29113.225
Iteration 7: (outcome) log likelihood = -29113.202
Iteration 8: (outcome) log likelihood = -29113.197
Iteration 9: (outcome) log likelihood = -29113.196
Iteration 10: (outcome) log likelihood = -29113.195
Iteration 11: (outcome) log likelihood = -29113.195
Iteration 12: (outcome) log likelihood = -29113.195
Refining starting values:
Iteration 0: (EM) log likelihood = -35171.41
Iteration 1: (EM) log likelihood = -35022.132
Iteration 2: (EM) log likelihood = -34522.585
Iteration 3: (EM) log likelihood = -33435.025
Iteration 4: (EM) log likelihood = -32305.184
Iteration 5: (EM) log likelihood = -31582.764
Iteration 6: (EM) log likelihood = -31097.148
Iteration 7: (EM) log likelihood = -30747.137
Iteration 8: (EM) log likelihood = -30490.326
Iteration 9: (EM) log likelihood = -30298.324
Iteration 10: (EM) log likelihood = -30151.422
Iteration 11: (EM) log likelihood = -30034.34
Iteration 12: (EM) log likelihood = -29935.903
Iteration 13: (EM) log likelihood = -29848.088
Iteration 14: (EM) log likelihood = -29766.727
Iteration 15: (EM) log likelihood = -29690.634
Iteration 16: (EM) log likelihood = -29619.564
Iteration 17: (EM) log likelihood = -29554.525
Iteration 18: (EM) log likelihood = -29495.293
Iteration 19: (EM) log likelihood = -29443.334
Iteration 20: (EM) log likelihood = -29398.967
Iteration 21: (EM) log likelihood = -29362.604
Iteration 22: (EM) log likelihood = -29331.343
Iteration 23: (EM) log likelihood = -29306.184
Iteration 24: (EM) log likelihood = -29285.747
Iteration 25: (EM) log likelihood = -29269.88
Iteration 26: (EM) log likelihood = -29256.897
Iteration 27: (EM) log likelihood = -29246.821
Iteration 28: (EM) log likelihood = -29238.002
Iteration 29: (EM) log likelihood = -29231.032
Iteration 30: (EM) log likelihood = -29224.736
Iteration 31: (EM) log likelihood = -29220.08
Iteration 32: (EM) log likelihood = -29215.218
Iteration 33: (EM) log likelihood = -29211.595
Iteration 34: (EM) log likelihood = -29208.598
Iteration 35: (EM) log likelihood = -29206.072
Iteration 36: (EM) log likelihood = -29203.591
Iteration 37: (EM) log likelihood = -29201.82
Iteration 38: (EM) log likelihood = -29200.538
Iteration 39: (EM) log likelihood = -29199.429
Iteration 40: (EM) log likelihood = -29198.537
Iteration 41: (EM) log likelihood = -29198.012
Iteration 42: (EM) log likelihood = -29197.688
Iteration 43: (EM) log likelihood = -29197.528
Iteration 44: (EM) log likelihood = -29197.432
Iteration 45: (EM) log likelihood = -29197.611
Iteration 46: (EM) log likelihood = -29197.795
Iteration 47: (EM) log likelihood = -29197.519
Iteration 48: (EM) log likelihood = -29197.849
Iteration 49: (EM) log likelihood = -29198.28
Iteration 50: (EM) log likelihood = -29198.592
Iteration 51: (EM) log likelihood = -29198.809
Iteration 52: (EM) log likelihood = -29199.124
Iteration 53: (EM) log likelihood = -29199.273
Iteration 54: (EM) log likelihood = -29199.298
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6092.2396
Iteration 1: (class) log likelihood = -6092.2396
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29120.589
Iteration 1: (outcome) log likelihood = -29120.589
Refining starting values:
Iteration 0: (EM) log likelihood = -35191.386
Iteration 1: (EM) log likelihood = -35122.49
Iteration 2: (EM) log likelihood = -34924.197
Iteration 3: (EM) log likelihood = -34429.429
Iteration 4: (EM) log likelihood = -33594.885
Iteration 5: (EM) log likelihood = -32692.782
Iteration 6: (EM) log likelihood = -31894.249
Iteration 7: (EM) log likelihood = -31185.593
Iteration 8: (EM) log likelihood = -30569.317
Iteration 9: (EM) log likelihood = -30088.441
Iteration 10: (EM) log likelihood = -29747.372
Iteration 11: (EM) log likelihood = -29493.207
Iteration 12: (EM) log likelihood = -29300.456
Iteration 13: (EM) log likelihood = -29168.806
Iteration 14: (EM) log likelihood = -29080.39
Iteration 15: (EM) log likelihood = -29014.658
Iteration 16: (EM) log likelihood = -28960.282
Iteration 17: (EM) log likelihood = -28912.591
Iteration 18: (EM) log likelihood = -28870.583
Iteration 19: (EM) log likelihood = -28834.616
Iteration 20: (EM) log likelihood = -28803.961
Iteration 21: (EM) log likelihood = -28778.441
Iteration 22: (EM) log likelihood = -28757.054
Iteration 23: (EM) log likelihood = -28738.929
Iteration 24: (EM) log likelihood = -28722.516
Iteration 25: (EM) log likelihood = -28708.315
Iteration 26: (EM) log likelihood = -28694.458
Iteration 27: (EM) log likelihood = -28681.714
Iteration 28: (EM) log likelihood = -28669.561
Iteration 29: (EM) log likelihood = -28657.484
Iteration 30: (EM) log likelihood = -28646.403
Iteration 31: (EM) log likelihood = -28635.627
Iteration 32: (EM) log likelihood = -28625.122
Iteration 33: (EM) log likelihood = -28614.852
Iteration 34: (EM) log likelihood = -28604.823
Iteration 35: (EM) log likelihood = -28595.009
Iteration 36: (EM) log likelihood = -28585.192
Iteration 37: (EM) log likelihood = -28575.705
Iteration 38: (EM) log likelihood = -28566.561
Iteration 39: (EM) log likelihood = -28557.2
Iteration 40: (EM) log likelihood = -28547.95
Iteration 41: (EM) log likelihood = -28539.055
Iteration 42: (EM) log likelihood = -28530.121
Iteration 43: (EM) log likelihood = -28521.515
Iteration 44: (EM) log likelihood = -28512.807
Iteration 45: (EM) log likelihood = -28504.492
Iteration 46: (EM) log likelihood = -28496.191
Iteration 47: (EM) log likelihood = -28488.108
Iteration 48: (EM) log likelihood = -28479.967
Iteration 49: (EM) log likelihood = -28471.914
Iteration 50: (EM) log likelihood = -28464.169
Iteration 51: (EM) log likelihood = -28456.246
Iteration 52: (EM) log likelihood = -28448.874
Iteration 53: (EM) log likelihood = -28441.645
Iteration 54: (EM) log likelihood = -28434.623
Iteration 55: (EM) log likelihood = -28427.767
Iteration 56: (EM) log likelihood = -28421.079
Iteration 57: (EM) log likelihood = -28414.606
Iteration 58: (EM) log likelihood = -28408.117
Iteration 59: (EM) log likelihood = -28401.705
Iteration 60: (EM) log likelihood = -28395.672
Iteration 61: (EM) log likelihood = -28389.746
Iteration 62: (EM) log likelihood = -28383.964
Iteration 63: (EM) log likelihood = -28378.358
Iteration 64: (EM) log likelihood = -28372.919
Iteration 65: (EM) log likelihood = -28367.615
Iteration 66: (EM) log likelihood = -28362.019
Iteration 67: (EM) log likelihood = -28356.756
Iteration 68: (EM) log likelihood = -28351.825
Iteration 69: (EM) log likelihood = -28347.139
Iteration 70: (EM) log likelihood = -28342.497
Iteration 71: (EM) log likelihood = -28337.928
Iteration 72: (EM) log likelihood = -28333.432
Iteration 73: (EM) log likelihood = -28329.012
Iteration 74: (EM) log likelihood = -28324.605
Iteration 75: (EM) log likelihood = -28320.688
Iteration 76: (EM) log likelihood = -28316.613
Iteration 77: (EM) log likelihood = -28311.989
Iteration 78: (EM) log likelihood = -28307.182
Iteration 79: (EM) log likelihood = -28303.701
Iteration 80: (EM) log likelihood = -28300.402
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6094.9146
Iteration 1: (class) log likelihood = -6094.9146
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29128.037
Iteration 1: (outcome) log likelihood = -29128.037
Refining starting values:
Iteration 0: (EM) log likelihood = -35213.258
Iteration 1: (EM) log likelihood = -35166.542
Iteration 2: (EM) log likelihood = -34995.96
Iteration 3: (EM) log likelihood = -34430.663
Iteration 4: (EM) log likelihood = -33280.923
Iteration 5: (EM) log likelihood = -32144.706
Iteration 6: (EM) log likelihood = -31389.513
Iteration 7: (EM) log likelihood = -30933.955
Iteration 8: (EM) log likelihood = -30668.155
Iteration 9: (EM) log likelihood = -30499.758
Iteration 10: (EM) log likelihood = -30376.845
Iteration 11: (EM) log likelihood = -30275.161
Iteration 12: (EM) log likelihood = -30183.876
Iteration 13: (EM) log likelihood = -30098.616
Iteration 14: (EM) log likelihood = -30016.448
Iteration 15: (EM) log likelihood = -29938.243
Iteration 16: (EM) log likelihood = -29863.514
Iteration 17: (EM) log likelihood = -29796.709
Iteration 18: (EM) log likelihood = -29735.108
Iteration 19: (EM) log likelihood = -29677.572
Iteration 20: (EM) log likelihood = -29624.143
Iteration 21: (EM) log likelihood = -29574.386
Iteration 22: (EM) log likelihood = -29529.033
Iteration 23: (EM) log likelihood = -29487.189
Iteration 24: (EM) log likelihood = -29449.76
Iteration 25: (EM) log likelihood = -29414.212
Iteration 26: (EM) log likelihood = -29382.636
Iteration 27: (EM) log likelihood = -29350.107
Iteration 28: (EM) log likelihood = -29317.025
Iteration 29: (EM) log likelihood = -29283.999
Iteration 30: (EM) log likelihood = -29249.259
Iteration 31: (EM) log likelihood = -29212.239
Iteration 32: (EM) log likelihood = -29173.997
Iteration 33: (EM) log likelihood = -29133.197
Iteration 34: (EM) log likelihood = -29090.103
Iteration 35: (EM) log likelihood = -29044.343
Iteration 36: (EM) log likelihood = -29000.203
Iteration 37: (EM) log likelihood = -28955.954
Iteration 38: (EM) log likelihood = -28912.214
Iteration 39: (EM) log likelihood = -28870.564
Iteration 40: (EM) log likelihood = -28831.545
Iteration 41: (EM) log likelihood = -28795.065
Iteration 42: (EM) log likelihood = -28762.012
Iteration 43: (EM) log likelihood = -28731.548
Iteration 44: (EM) log likelihood = -28704.719
Iteration 45: (EM) log likelihood = -28680.615
Iteration 46: (EM) log likelihood = -28659.287
Iteration 47: (EM) log likelihood = -28640.312
Iteration 48: (EM) log likelihood = -28623.938
Iteration 49: (EM) log likelihood = -28608.455
Iteration 50: (EM) log likelihood = -28596.108
Iteration 51: (EM) log likelihood = -28585.243
Iteration 52: (EM) log likelihood = -28575.812
Iteration 53: (EM) log likelihood = -28567.899
Iteration 54: (EM) log likelihood = -28561.247
Iteration 55: (EM) log likelihood = -28555.458
Iteration 56: (EM) log likelihood = -28550.853
Iteration 57: (EM) log likelihood = -28546.864
Iteration 58: (EM) log likelihood = -28543.469
Iteration 59: (EM) log likelihood = -28540.706
Iteration 60: (EM) log likelihood = -28539.056
Iteration 61: (EM) log likelihood = -28537.213
Iteration 62: (EM) log likelihood = -28535.621
Iteration 63: (EM) log likelihood = -28534.44
Iteration 64: (EM) log likelihood = -28533.515
Iteration 65: (EM) log likelihood = -28532.871
Iteration 66: (EM) log likelihood = -28532.486
Iteration 67: (EM) log likelihood = -28532.329
Iteration 68: (EM) log likelihood = -28532.405
Iteration 69: (EM) log likelihood = -28531.564
Iteration 70: (EM) log likelihood = -28531.679
Iteration 71: (EM) log likelihood = -28531.973
Iteration 72: (EM) log likelihood = -28532.502
Iteration 73: (EM) log likelihood = -28533.294
Iteration 74: (EM) log likelihood = -28534.224
Iteration 75: (EM) log likelihood = -28535.032
Iteration 76: (EM) log likelihood = -28534.195
Iteration 77: (EM) log likelihood = -28535.369
Iteration 78: (EM) log likelihood = -28536.616
Iteration 79: (EM) log likelihood = -28538.005
Iteration 80: (EM) log likelihood = -28539.436
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6095.8931
Iteration 1: (class) log likelihood = -6095.8931
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29526.988
Iteration 1: (outcome) log likelihood = -29207.256
Iteration 2: (outcome) log likelihood = -29150.165
Iteration 3: (outcome) log likelihood = -29140.841
Iteration 4: (outcome) log likelihood = -29138.856
Iteration 5: (outcome) log likelihood = -29138.412
Iteration 6: (outcome) log likelihood = -29138.333
Iteration 7: (outcome) log likelihood = -29138.325
Iteration 8: (outcome) log likelihood = -29138.323
Iteration 9: (outcome) log likelihood = -29138.323
Iteration 10: (outcome) log likelihood = -29138.323
Iteration 11: (outcome) log likelihood = -29138.323
Refining starting values:
Iteration 0: (EM) log likelihood = -35229.844
Iteration 1: (EM) log likelihood = -35207.276
Iteration 2: (EM) log likelihood = -35122.913
Iteration 3: (EM) log likelihood = -34809.478
Iteration 4: (EM) log likelihood = -33930.386
Iteration 5: (EM) log likelihood = -32764.326
Iteration 6: (EM) log likelihood = -32007.996
Iteration 7: (EM) log likelihood = -31551.417
Iteration 8: (EM) log likelihood = -31181.484
Iteration 9: (EM) log likelihood = -30819.537
Iteration 10: (EM) log likelihood = -30483.411
Iteration 11: (EM) log likelihood = -30207.464
Iteration 12: (EM) log likelihood = -29997.8
Iteration 13: (EM) log likelihood = -29841.811
Iteration 14: (EM) log likelihood = -29728.519
Iteration 15: (EM) log likelihood = -29644.825
Iteration 16: (EM) log likelihood = -29580.343
Iteration 17: (EM) log likelihood = -29529.253
Iteration 18: (EM) log likelihood = -29487.018
Iteration 19: (EM) log likelihood = -29449.708
Iteration 20: (EM) log likelihood = -29411.651
Iteration 21: (EM) log likelihood = -29374.498
Iteration 22: (EM) log likelihood = -29338.532
Iteration 23: (EM) log likelihood = -29302.393
Iteration 24: (EM) log likelihood = -29267.435
Iteration 25: (EM) log likelihood = -29232.796
Iteration 26: (EM) log likelihood = -29198.352
Iteration 27: (EM) log likelihood = -29165.246
Iteration 28: (EM) log likelihood = -29133.891
Iteration 29: (EM) log likelihood = -29100.37
Iteration 30: (EM) log likelihood = -29069.909
Iteration 31: (EM) log likelihood = -29040.907
Iteration 32: (EM) log likelihood = -29011.317
Iteration 33: (EM) log likelihood = -28982.302
Iteration 34: (EM) log likelihood = -28954.63
Iteration 35: (EM) log likelihood = -28927.634
Iteration 36: (EM) log likelihood = -28900.874
Iteration 37: (EM) log likelihood = -28874.924
Iteration 38: (EM) log likelihood = -28849.457
Iteration 39: (EM) log likelihood = -28824.906
Iteration 40: (EM) log likelihood = -28801.114
Iteration 41: (EM) log likelihood = -28778.196
Iteration 42: (EM) log likelihood = -28756.901
Iteration 43: (EM) log likelihood = -28736.388
Iteration 44: (EM) log likelihood = -28717.284
Iteration 45: (EM) log likelihood = -28699.979
Iteration 46: (EM) log likelihood = -28683.956
Iteration 47: (EM) log likelihood = -28668.504
Iteration 48: (EM) log likelihood = -28654.739
Iteration 49: (EM) log likelihood = -28641.552
Iteration 50: (EM) log likelihood = -28628.83
Iteration 51: (EM) log likelihood = -28617.528
Iteration 52: (EM) log likelihood = -28606.746
Iteration 53: (EM) log likelihood = -28599.055
Iteration 54: (EM) log likelihood = -28589.557
Iteration 55: (EM) log likelihood = -28580.096
Iteration 56: (EM) log likelihood = -28571.311
Iteration 57: (EM) log likelihood = -28563.974
Iteration 58: (EM) log likelihood = -28556.933
Iteration 59: (EM) log likelihood = -28549.033
Iteration 60: (EM) log likelihood = -28542.868
Iteration 61: (EM) log likelihood = -28536.074
Iteration 62: (EM) log likelihood = -28529.844
Iteration 63: (EM) log likelihood = -28524.501
Iteration 64: (EM) log likelihood = -28519.353
Iteration 65: (EM) log likelihood = -28514.167
Iteration 66: (EM) log likelihood = -28508.762
Iteration 67: (EM) log likelihood = -28502.821
Iteration 68: (EM) log likelihood = -28497.619
Iteration 69: (EM) log likelihood = -28492.434
Iteration 70: (EM) log likelihood = -28487.137
Iteration 71: (EM) log likelihood = -28481.192
Iteration 72: (EM) log likelihood = -28476.443
Iteration 73: (EM) log likelihood = -28470.275
Iteration 74: (EM) log likelihood = -28465.368
Iteration 75: (EM) log likelihood = -28461.055
Iteration 76: (EM) log likelihood = -28455.558
Iteration 77: (EM) log likelihood = -28450.473
Iteration 78: (EM) log likelihood = -28446.002
Iteration 79: (EM) log likelihood = -28441.543
Iteration 80: (EM) log likelihood = -28436.367
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6095.6647
Iteration 1: (class) log likelihood = -6095.6647
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29117.254
Iteration 1: (outcome) log likelihood = -29117.254
Refining starting values:
Iteration 0: (EM) log likelihood = -35186.469
Iteration 1: (EM) log likelihood = -35061.577
Iteration 2: (EM) log likelihood = -34590.693
Iteration 3: (EM) log likelihood = -33509.622
Iteration 4: (EM) log likelihood = -32446.059
Iteration 5: (EM) log likelihood = -31813.682
Iteration 6: (EM) log likelihood = -31408.044
Iteration 7: (EM) log likelihood = -31117.967
Iteration 8: (EM) log likelihood = -30899.481
Iteration 9: (EM) log likelihood = -30718.397
Iteration 10: (EM) log likelihood = -30552.231
Iteration 11: (EM) log likelihood = -30385.622
Iteration 12: (EM) log likelihood = -30222.486
Iteration 13: (EM) log likelihood = -30072.593
Iteration 14: (EM) log likelihood = -29943.312
Iteration 15: (EM) log likelihood = -29839.014
Iteration 16: (EM) log likelihood = -29754.254
Iteration 17: (EM) log likelihood = -29690.838
Iteration 18: (EM) log likelihood = -29641.456
Iteration 19: (EM) log likelihood = -29605.41
Iteration 20: (EM) log likelihood = -29580.141
Iteration 21: (EM) log likelihood = -29559.836
Iteration 22: (EM) log likelihood = -29544.525
Iteration 23: (EM) log likelihood = -29531.443
Iteration 24: (EM) log likelihood = -29521.9
Iteration 25: (EM) log likelihood = -29513.321
Iteration 26: (EM) log likelihood = -29505.472
Iteration 27: (EM) log likelihood = -29497.615
Iteration 28: (EM) log likelihood = -29489.336
Iteration 29: (EM) log likelihood = -29479.639
Iteration 30: (EM) log likelihood = -29469.401
Iteration 31: (EM) log likelihood = -29457.104
Iteration 32: (EM) log likelihood = -29442.561
Iteration 33: (EM) log likelihood = -29426.768
Iteration 34: (EM) log likelihood = -29406.924
Iteration 35: (EM) log likelihood = -29385.97
Iteration 36: (EM) log likelihood = -29361.355
Iteration 37: (EM) log likelihood = -29333.5
Iteration 38: (EM) log likelihood = -29305.064
Iteration 39: (EM) log likelihood = -29272.257
Iteration 40: (EM) log likelihood = -29239.306
Iteration 41: (EM) log likelihood = -29205.627
Iteration 42: (EM) log likelihood = -29169.684
Iteration 43: (EM) log likelihood = -29132.729
Iteration 44: (EM) log likelihood = -29099.86
Iteration 45: (EM) log likelihood = -29067.194
Iteration 46: (EM) log likelihood = -29035.865
Iteration 47: (EM) log likelihood = -29005.019
Iteration 48: (EM) log likelihood = -28975.31
Iteration 49: (EM) log likelihood = -28945.544
Iteration 50: (EM) log likelihood = -28919.916
Iteration 51: (EM) log likelihood = -28895.1
Iteration 52: (EM) log likelihood = -28868.12
Iteration 53: (EM) log likelihood = -28845.193
Iteration 54: (EM) log likelihood = -28825.071
Iteration 55: (EM) log likelihood = -28804.958
Iteration 56: (EM) log likelihood = -28783.964
Iteration 57: (EM) log likelihood = -28764.922
Iteration 58: (EM) log likelihood = -28749.05
Iteration 59: (EM) log likelihood = -28730.002
Iteration 60: (EM) log likelihood = -28714.213
Iteration 61: (EM) log likelihood = -28695.859
Iteration 62: (EM) log likelihood = -28676.055
Iteration 63: (EM) log likelihood = -28653.318
Iteration 64: (EM) log likelihood = -28632.08
Iteration 65: (EM) log likelihood = -28612.872
Iteration 66: (EM) log likelihood = -28592.635
Iteration 67: (EM) log likelihood = -28574.056
Iteration 68: (EM) log likelihood = -28561.227
Iteration 69: (EM) log likelihood = -28545.732
Iteration 70: (EM) log likelihood = -28540.817
Iteration 71: (EM) log likelihood = -28525.692
Iteration 72: (EM) log likelihood = -28512.357
Iteration 73: (EM) log likelihood = -28502.205
Iteration 74: (EM) log likelihood = -28490.201
Iteration 75: (EM) log likelihood = -28479.18
Iteration 76: (EM) log likelihood = -28472.308
Iteration 77: (EM) log likelihood = -28461.82
Iteration 78: (EM) log likelihood = -28453.443
Iteration 79: (EM) log likelihood = -28445.496
Iteration 80: (EM) log likelihood = -28437.737
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.975
Iteration 1: (class) log likelihood = -6096.975
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29125.972
Iteration 1: (outcome) log likelihood = -29125.972
Refining starting values:
Iteration 0: (EM) log likelihood = -35205.973
Iteration 1: (EM) log likelihood = -35157.407
Iteration 2: (EM) log likelihood = -35018.554
Iteration 3: (EM) log likelihood = -34612.55
Iteration 4: (EM) log likelihood = -33703.164
Iteration 5: (EM) log likelihood = -32507.07
Iteration 6: (EM) log likelihood = -31477.867
Iteration 7: (EM) log likelihood = -30779.617
Iteration 8: (EM) log likelihood = -30368.389
Iteration 9: (EM) log likelihood = -30125.224
Iteration 10: (EM) log likelihood = -29960.131
Iteration 11: (EM) log likelihood = -29835.1
Iteration 12: (EM) log likelihood = -29735.65
Iteration 13: (EM) log likelihood = -29656.039
Iteration 14: (EM) log likelihood = -29592.869
Iteration 15: (EM) log likelihood = -29543.409
Iteration 16: (EM) log likelihood = -29504.588
Iteration 17: (EM) log likelihood = -29474.046
Iteration 18: (EM) log likelihood = -29449.584
Iteration 19: (EM) log likelihood = -29429.937
Iteration 20: (EM) log likelihood = -29413.584
Iteration 21: (EM) log likelihood = -29399.935
Iteration 22: (EM) log likelihood = -29388.576
Iteration 23: (EM) log likelihood = -29378.796
Iteration 24: (EM) log likelihood = -29370.605
Iteration 25: (EM) log likelihood = -29363.513
Iteration 26: (EM) log likelihood = -29357.219
Iteration 27: (EM) log likelihood = -29351.893
Iteration 28: (EM) log likelihood = -29347.347
Iteration 29: (EM) log likelihood = -29343.107
Iteration 30: (EM) log likelihood = -29339.341
Iteration 31: (EM) log likelihood = -29335.775
Iteration 32: (EM) log likelihood = -29332.273
Iteration 33: (EM) log likelihood = -29328.899
Iteration 34: (EM) log likelihood = -29325.309
Iteration 35: (EM) log likelihood = -29321.031
Iteration 36: (EM) log likelihood = -29316.98
Iteration 37: (EM) log likelihood = -29312.076
Iteration 38: (EM) log likelihood = -29306.389
Iteration 39: (EM) log likelihood = -29299.657
Iteration 40: (EM) log likelihood = -29291.707
Iteration 41: (EM) log likelihood = -29282.203
Iteration 42: (EM) log likelihood = -29271.353
Iteration 43: (EM) log likelihood = -29258.758
Iteration 44: (EM) log likelihood = -29244.403
Iteration 45: (EM) log likelihood = -29228.448
Iteration 46: (EM) log likelihood = -29210.997
Iteration 47: (EM) log likelihood = -29192.639
Iteration 48: (EM) log likelihood = -29173.45
Iteration 49: (EM) log likelihood = -29153.476
Iteration 50: (EM) log likelihood = -29132.839
Iteration 51: (EM) log likelihood = -29111.519
Iteration 52: (EM) log likelihood = -29090.281
Iteration 53: (EM) log likelihood = -29068.592
Iteration 54: (EM) log likelihood = -29047.206
Iteration 55: (EM) log likelihood = -29025.635
Iteration 56: (EM) log likelihood = -29004.638
Iteration 57: (EM) log likelihood = -28984.337
Iteration 58: (EM) log likelihood = -28964.404
Iteration 59: (EM) log likelihood = -28947.1
Iteration 60: (EM) log likelihood = -28931.39
Iteration 61: (EM) log likelihood = -28918.33
Iteration 62: (EM) log likelihood = -28907.266
Iteration 63: (EM) log likelihood = -28897.87
Iteration 64: (EM) log likelihood = -28890.75
Iteration 65: (EM) log likelihood = -28885.101
Iteration 66: (EM) log likelihood = -28881.468
Iteration 67: (EM) log likelihood = -28878.606
Iteration 68: (EM) log likelihood = -28876.778
Iteration 69: (EM) log likelihood = -28876.017
Iteration 70: (EM) log likelihood = -28876.31
Iteration 71: (EM) log likelihood = -28877.607
Iteration 72: (EM) log likelihood = -28878.768
Iteration 73: (EM) log likelihood = -28880.184
Iteration 74: (EM) log likelihood = -28881.933
Iteration 75: (EM) log likelihood = -28884.197
Iteration 76: (EM) log likelihood = -28886.312
Iteration 77: (EM) log likelihood = -28888.369
Iteration 78: (EM) log likelihood = -28890.836
Iteration 79: (EM) log likelihood = -28893.338
Iteration 80: (EM) log likelihood = -28895.732
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.1898
Iteration 1: (class) log likelihood = -6097.1898
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29124.359
Iteration 1: (outcome) log likelihood = -29124.359
Refining starting values:
Iteration 0: (EM) log likelihood = -35183.973
Iteration 1: (EM) log likelihood = -35018.768
Iteration 2: (EM) log likelihood = -34433.148
Iteration 3: (EM) log likelihood = -33267.416
Iteration 4: (EM) log likelihood = -32254.06
Iteration 5: (EM) log likelihood = -31652.324
Iteration 6: (EM) log likelihood = -31246.984
Iteration 7: (EM) log likelihood = -30953.47
Iteration 8: (EM) log likelihood = -30742.256
Iteration 9: (EM) log likelihood = -30589.721
Iteration 10: (EM) log likelihood = -30476.037
Iteration 11: (EM) log likelihood = -30381.823
Iteration 12: (EM) log likelihood = -30294.656
Iteration 13: (EM) log likelihood = -30209.142
Iteration 14: (EM) log likelihood = -30125.03
Iteration 15: (EM) log likelihood = -30039.032
Iteration 16: (EM) log likelihood = -29956.88
Iteration 17: (EM) log likelihood = -29876.814
Iteration 18: (EM) log likelihood = -29797.726
Iteration 19: (EM) log likelihood = -29724.311
Iteration 20: (EM) log likelihood = -29654.401
Iteration 21: (EM) log likelihood = -29591.724
Iteration 22: (EM) log likelihood = -29532.564
Iteration 23: (EM) log likelihood = -29478.87
Iteration 24: (EM) log likelihood = -29428.741
Iteration 25: (EM) log likelihood = -29381.268
Iteration 26: (EM) log likelihood = -29336.504
Iteration 27: (EM) log likelihood = -29294.985
Iteration 28: (EM) log likelihood = -29254.444
Iteration 29: (EM) log likelihood = -29215.74
Iteration 30: (EM) log likelihood = -29180.057
Iteration 31: (EM) log likelihood = -29147.148
Iteration 32: (EM) log likelihood = -29115.552
Iteration 33: (EM) log likelihood = -29084.141
Iteration 34: (EM) log likelihood = -29055.597
Iteration 35: (EM) log likelihood = -29029.338
Iteration 36: (EM) log likelihood = -29002.262
Iteration 37: (EM) log likelihood = -28977.339
Iteration 38: (EM) log likelihood = -28952.126
Iteration 39: (EM) log likelihood = -28929.858
Iteration 40: (EM) log likelihood = -28908.52
Iteration 41: (EM) log likelihood = -28888.166
Iteration 42: (EM) log likelihood = -28868.114
Iteration 43: (EM) log likelihood = -28846.675
Iteration 44: (EM) log likelihood = -28829.053
Iteration 45: (EM) log likelihood = -28808.926
Iteration 46: (EM) log likelihood = -28792.564
Iteration 47: (EM) log likelihood = -28776.014
Iteration 48: (EM) log likelihood = -28759.072
Iteration 49: (EM) log likelihood = -28743.509
Iteration 50: (EM) log likelihood = -28729.798
Iteration 51: (EM) log likelihood = -28714.979
Iteration 52: (EM) log likelihood = -28703.202
Iteration 53: (EM) log likelihood = -28688.22
Iteration 54: (EM) log likelihood = -28674.542
Iteration 55: (EM) log likelihood = -28660.635
Iteration 56: (EM) log likelihood = -28648.704
Iteration 57: (EM) log likelihood = -28636.069
Iteration 58: (EM) log likelihood = -28624.113
Iteration 59: (EM) log likelihood = -28612.18
Iteration 60: (EM) log likelihood = -28600.962
Iteration 61: (EM) log likelihood = -28591.373
Iteration 62: (EM) log likelihood = -28580.469
Iteration 63: (EM) log likelihood = -28569.413
Iteration 64: (EM) log likelihood = -28559.179
Iteration 65: (EM) log likelihood = -28547.241
Iteration 66: (EM) log likelihood = -28534.253
Iteration 67: (EM) log likelihood = -28522.352
Iteration 68: (EM) log likelihood = -28510.423
Iteration 69: (EM) log likelihood = -28497.596
Iteration 70: (EM) log likelihood = -28485.464
Iteration 71: (EM) log likelihood = -28474.812
Iteration 72: (EM) log likelihood = -28463.991
Iteration 73: (EM) log likelihood = -28453.877
Iteration 74: (EM) log likelihood = -28439.534
Iteration 75: (EM) log likelihood = -28430.263
Iteration 76: (EM) log likelihood = -28421.166
Iteration 77: (EM) log likelihood = -28411.234
Iteration 78: (EM) log likelihood = -28402.53
Iteration 79: (EM) log likelihood = -28390.159
Iteration 80: (EM) log likelihood = -28378.227
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.6273
Iteration 1: (class) log likelihood = -6096.6273
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29352.061
Iteration 1: (outcome) log likelihood = -29180.097
Iteration 2: (outcome) log likelihood = -29124.971
Iteration 3: (outcome) log likelihood = -29116.43
Iteration 4: (outcome) log likelihood = -29114.442
Iteration 5: (outcome) log likelihood = -29114.03
Iteration 6: (outcome) log likelihood = -29113.961
Iteration 7: (outcome) log likelihood = -29113.953
Iteration 8: (outcome) log likelihood = -29113.952
Iteration 9: (outcome) log likelihood = -29113.951
Iteration 10: (outcome) log likelihood = -29113.951
Iteration 11: (outcome) log likelihood = -29113.951
Refining starting values:
Iteration 0: (EM) log likelihood = -35176.942
Iteration 1: (EM) log likelihood = -35050.022
Iteration 2: (EM) log likelihood = -34653.043
Iteration 3: (EM) log likelihood = -33781.178
Iteration 4: (EM) log likelihood = -32715.491
Iteration 5: (EM) log likelihood = -31897.4
Iteration 6: (EM) log likelihood = -31296.389
Iteration 7: (EM) log likelihood = -30806.641
Iteration 8: (EM) log likelihood = -30426.157
Iteration 9: (EM) log likelihood = -30154.123
Iteration 10: (EM) log likelihood = -29973.566
Iteration 11: (EM) log likelihood = -29846.864
Iteration 12: (EM) log likelihood = -29756.78
Iteration 13: (EM) log likelihood = -29689.279
Iteration 14: (EM) log likelihood = -29634.337
Iteration 15: (EM) log likelihood = -29587.511
Iteration 16: (EM) log likelihood = -29545.159
Iteration 17: (EM) log likelihood = -29505.765
Iteration 18: (EM) log likelihood = -29470.084
Iteration 19: (EM) log likelihood = -29435.326
Iteration 20: (EM) log likelihood = -29402.025
Iteration 21: (EM) log likelihood = -29372.277
Iteration 22: (EM) log likelihood = -29345.158
Iteration 23: (EM) log likelihood = -29320.68
Iteration 24: (EM) log likelihood = -29298.255
Iteration 25: (EM) log likelihood = -29278.149
Iteration 26: (EM) log likelihood = -29258.427
Iteration 27: (EM) log likelihood = -29239.883
Iteration 28: (EM) log likelihood = -29223.167
Iteration 29: (EM) log likelihood = -29207.474
Iteration 30: (EM) log likelihood = -29192.566
Iteration 31: (EM) log likelihood = -29178.421
Iteration 32: (EM) log likelihood = -29164.909
Iteration 33: (EM) log likelihood = -29151.943
Iteration 34: (EM) log likelihood = -29139.709
Iteration 35: (EM) log likelihood = -29128.102
Iteration 36: (EM) log likelihood = -29116.962
Iteration 37: (EM) log likelihood = -29106.366
Iteration 38: (EM) log likelihood = -29097.363
Iteration 39: (EM) log likelihood = -29088.328
Iteration 40: (EM) log likelihood = -29079.889
Iteration 41: (EM) log likelihood = -29072.344
Iteration 42: (EM) log likelihood = -29065.183
Iteration 43: (EM) log likelihood = -29059.004
Iteration 44: (EM) log likelihood = -29052.669
Iteration 45: (EM) log likelihood = -29046.839
Iteration 46: (EM) log likelihood = -29041.212
Iteration 47: (EM) log likelihood = -29034.928
Iteration 48: (EM) log likelihood = -29027.752
Iteration 49: (EM) log likelihood = -29019.577
Iteration 50: (EM) log likelihood = -29009.981
Iteration 51: (EM) log likelihood = -28998.289
Iteration 52: (EM) log likelihood = -28983.788
Iteration 53: (EM) log likelihood = -28965.785
Iteration 54: (EM) log likelihood = -28944.365
Iteration 55: (EM) log likelihood = -28920.156
Iteration 56: (EM) log likelihood = -28893.365
Iteration 57: (EM) log likelihood = -28865.801
Iteration 58: (EM) log likelihood = -28838.248
Iteration 59: (EM) log likelihood = -28812.292
Iteration 60: (EM) log likelihood = -28788.39
Iteration 61: (EM) log likelihood = -28766.662
Iteration 62: (EM) log likelihood = -28746.043
Iteration 63: (EM) log likelihood = -28727.206
Iteration 64: (EM) log likelihood = -28709.333
Iteration 65: (EM) log likelihood = -28692.985
Iteration 66: (EM) log likelihood = -28677.718
Iteration 67: (EM) log likelihood = -28663.095
Iteration 68: (EM) log likelihood = -28649.46
Iteration 69: (EM) log likelihood = -28633.689
Iteration 70: (EM) log likelihood = -28615.984
Iteration 71: (EM) log likelihood = -28600.483
Iteration 72: (EM) log likelihood = -28585.517
Iteration 73: (EM) log likelihood = -28572.257
Iteration 74: (EM) log likelihood = -28560.542
Iteration 75: (EM) log likelihood = -28550.036
Iteration 76: (EM) log likelihood = -28540.699
Iteration 77: (EM) log likelihood = -28532.749
Iteration 78: (EM) log likelihood = -28525.254
Iteration 79: (EM) log likelihood = -28518.852
Iteration 80: (EM) log likelihood = -28512.995
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.1051
Iteration 1: (class) log likelihood = -6097.1051
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29821.767
Iteration 1: (outcome) log likelihood = -29253.195
Iteration 2: (outcome) log likelihood = -29151.362
Iteration 3: (outcome) log likelihood = -29126.973
Iteration 4: (outcome) log likelihood = -29122.304
Iteration 5: (outcome) log likelihood = -29121.237
Iteration 6: (outcome) log likelihood = -29121.005
Iteration 7: (outcome) log likelihood = -29120.947
Iteration 8: (outcome) log likelihood = -29120.936
Iteration 9: (outcome) log likelihood = -29120.933
Iteration 10: (outcome) log likelihood = -29120.933
Iteration 11: (outcome) log likelihood = -29120.932
Iteration 12: (outcome) log likelihood = -29120.932
Refining starting values:
Iteration 0: (EM) log likelihood = -35196.176
Iteration 1: (EM) log likelihood = -35098.432
Iteration 2: (EM) log likelihood = -34747.143
Iteration 3: (EM) log likelihood = -33881.734
Iteration 4: (EM) log likelihood = -32807.698
Iteration 5: (EM) log likelihood = -32050.49
Iteration 6: (EM) log likelihood = -31548.112
Iteration 7: (EM) log likelihood = -31144.852
Iteration 8: (EM) log likelihood = -30780.867
Iteration 9: (EM) log likelihood = -30478.182
Iteration 10: (EM) log likelihood = -30266.961
Iteration 11: (EM) log likelihood = -30130.879
Iteration 12: (EM) log likelihood = -30045.606
Iteration 13: (EM) log likelihood = -29984.026
Iteration 14: (EM) log likelihood = -29932.865
Iteration 15: (EM) log likelihood = -29884.534
Iteration 16: (EM) log likelihood = -29835.223
Iteration 17: (EM) log likelihood = -29783.787
Iteration 18: (EM) log likelihood = -29731.973
Iteration 19: (EM) log likelihood = -29682.702
Iteration 20: (EM) log likelihood = -29637.752
Iteration 21: (EM) log likelihood = -29599.133
Iteration 22: (EM) log likelihood = -29567.705
Iteration 23: (EM) log likelihood = -29542.607
Iteration 24: (EM) log likelihood = -29523.192
Iteration 25: (EM) log likelihood = -29507.68
Iteration 26: (EM) log likelihood = -29495.5
Iteration 27: (EM) log likelihood = -29485.596
Iteration 28: (EM) log likelihood = -29477.199
Iteration 29: (EM) log likelihood = -29469.808
Iteration 30: (EM) log likelihood = -29462.359
Iteration 31: (EM) log likelihood = -29454.226
Iteration 32: (EM) log likelihood = -29444.645
Iteration 33: (EM) log likelihood = -29432.991
Iteration 34: (EM) log likelihood = -29418.897
Iteration 35: (EM) log likelihood = -29401.653
Iteration 36: (EM) log likelihood = -29382.801
Iteration 37: (EM) log likelihood = -29361.418
Iteration 38: (EM) log likelihood = -29336.971
Iteration 39: (EM) log likelihood = -29311.054
Iteration 40: (EM) log likelihood = -29282.196
Iteration 41: (EM) log likelihood = -29250.384
Iteration 42: (EM) log likelihood = -29218.503
Iteration 43: (EM) log likelihood = -29185.701
Iteration 44: (EM) log likelihood = -29153.488
Iteration 45: (EM) log likelihood = -29123.538
Iteration 46: (EM) log likelihood = -29094.564
Iteration 47: (EM) log likelihood = -29068.521
Iteration 48: (EM) log likelihood = -29045.361
Iteration 49: (EM) log likelihood = -29025.763
Iteration 50: (EM) log likelihood = -29010.01
Iteration 51: (EM) log likelihood = -28997.859
Iteration 52: (EM) log likelihood = -28988.07
Iteration 53: (EM) log likelihood = -28980.869
Iteration 54: (EM) log likelihood = -28976.193
Iteration 55: (EM) log likelihood = -28972.522
Iteration 56: (EM) log likelihood = -28969.869
Iteration 57: (EM) log likelihood = -28967.041
Iteration 58: (EM) log likelihood = -28965.717
Iteration 59: (EM) log likelihood = -28964.206
Iteration 60: (EM) log likelihood = -28963.165
Iteration 61: (EM) log likelihood = -28962.669
Iteration 62: (EM) log likelihood = -28962.212
Iteration 63: (EM) log likelihood = -28962.373
Iteration 64: (EM) log likelihood = -28961.9
Iteration 65: (EM) log likelihood = -28960.256
Iteration 66: (EM) log likelihood = -28958.754
Iteration 67: (EM) log likelihood = -28959.118
Iteration 68: (EM) log likelihood = -28957.263
Iteration 69: (EM) log likelihood = -28955.667
Iteration 70: (EM) log likelihood = -28953.418
Iteration 71: (EM) log likelihood = -28950.764
Iteration 72: (EM) log likelihood = -28948.594
Iteration 73: (EM) log likelihood = -28946.721
Iteration 74: (EM) log likelihood = -28942.4
Iteration 75: (EM) log likelihood = -28937.994
Iteration 76: (EM) log likelihood = -28935.068
Iteration 77: (EM) log likelihood = -28929.611
Iteration 78: (EM) log likelihood = -28924.292
Iteration 79: (EM) log likelihood = -28919.391
Iteration 80: (EM) log likelihood = -28915.235
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.0449
Iteration 1: (class) log likelihood = -6096.0449
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29126.566
Iteration 1: (outcome) log likelihood = -29126.566
Refining starting values:
Iteration 0: (EM) log likelihood = -35197.17
Iteration 1: (EM) log likelihood = -35101.21
Iteration 2: (EM) log likelihood = -34760.824
Iteration 3: (EM) log likelihood = -33902.887
Iteration 4: (EM) log likelihood = -32836.713
Iteration 5: (EM) log likelihood = -32084.452
Iteration 6: (EM) log likelihood = -31571.319
Iteration 7: (EM) log likelihood = -31151.396
Iteration 8: (EM) log likelihood = -30784.56
Iteration 9: (EM) log likelihood = -30471.145
Iteration 10: (EM) log likelihood = -30207.453
Iteration 11: (EM) log likelihood = -29978.62
Iteration 12: (EM) log likelihood = -29774.369
Iteration 13: (EM) log likelihood = -29597.781
Iteration 14: (EM) log likelihood = -29453.129
Iteration 15: (EM) log likelihood = -29338.536
Iteration 16: (EM) log likelihood = -29252.558
Iteration 17: (EM) log likelihood = -29184.376
Iteration 18: (EM) log likelihood = -29132.511
Iteration 19: (EM) log likelihood = -29088.931
Iteration 20: (EM) log likelihood = -29056.423
Iteration 21: (EM) log likelihood = -29031.376
Iteration 22: (EM) log likelihood = -29018.347
Iteration 23: (EM) log likelihood = -29002.394
Iteration 24: (EM) log likelihood = -28988.737
Iteration 25: (EM) log likelihood = -28977.503
Iteration 26: (EM) log likelihood = -28968.12
Iteration 27: (EM) log likelihood = -28958.681
Iteration 28: (EM) log likelihood = -28954.091
Iteration 29: (EM) log likelihood = -28942.364
Iteration 30: (EM) log likelihood = -28931.859
Iteration 31: (EM) log likelihood = -28920.031
Iteration 32: (EM) log likelihood = -28912.649
Iteration 33: (EM) log likelihood = -28906.274
Iteration 34: (EM) log likelihood = -28898.104
Iteration 35: (EM) log likelihood = -28888.749
Iteration 36: (EM) log likelihood = -28880.551
Iteration 37: (EM) log likelihood = -28872.1
Iteration 38: (EM) log likelihood = -28862.869
Iteration 39: (EM) log likelihood = -28851.829
Iteration 40: (EM) log likelihood = -28841.989
Iteration 41: (EM) log likelihood = -28831.294
Iteration 42: (EM) log likelihood = -28818.585
Iteration 43: (EM) log likelihood = -28810.083
Iteration 44: (EM) log likelihood = -28799.487
Iteration 45: (EM) log likelihood = -28788.713
Iteration 46: (EM) log likelihood = -28778.778
Iteration 47: (EM) log likelihood = -28767.623
Iteration 48: (EM) log likelihood = -28758.562
Iteration 49: (EM) log likelihood = -28745.085
Iteration 50: (EM) log likelihood = -28733.378
Iteration 51: (EM) log likelihood = -28726.982
Iteration 52: (EM) log likelihood = -28719.571
Iteration 53: (EM) log likelihood = -28712.078
Iteration 54: (EM) log likelihood = -28705.015
Iteration 55: (EM) log likelihood = -28698.363
Iteration 56: (EM) log likelihood = -28692.429
Iteration 57: (EM) log likelihood = -28686.403
Iteration 58: (EM) log likelihood = -28678.723
Iteration 59: (EM) log likelihood = -28673.248
Iteration 60: (EM) log likelihood = -28668.173
Iteration 61: (EM) log likelihood = -28662.401
Iteration 62: (EM) log likelihood = -28656.886
Iteration 63: (EM) log likelihood = -28652.027
Iteration 64: (EM) log likelihood = -28647.384
Iteration 65: (EM) log likelihood = -28644.535
Iteration 66: (EM) log likelihood = -28640.498
Iteration 67: (EM) log likelihood = -28636.832
Iteration 68: (EM) log likelihood = -28633.47
Iteration 69: (EM) log likelihood = -28630.209
Iteration 70: (EM) log likelihood = -28627.124
Iteration 71: (EM) log likelihood = -28624.336
Iteration 72: (EM) log likelihood = -28621.466
Iteration 73: (EM) log likelihood = -28618.798
Iteration 74: (EM) log likelihood = -28616.668
Iteration 75: (EM) log likelihood = -28615.773
Iteration 76: (EM) log likelihood = -28613.287
Iteration 77: (EM) log likelihood = -28610.717
Iteration 78: (EM) log likelihood = -28609.857
Iteration 79: (EM) log likelihood = -28606.321
Iteration 80: (EM) log likelihood = -28605.332
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6095.2929
Iteration 1: (class) log likelihood = -6095.2929
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29119.744
Iteration 1: (outcome) log likelihood = -29119.744
Refining starting values:
Iteration 0: (EM) log likelihood = -35176.195
Iteration 1: (EM) log likelihood = -35031.028
Iteration 2: (EM) log likelihood = -34601.251
Iteration 3: (EM) log likelihood = -33733.233
Iteration 4: (EM) log likelihood = -32699.732
Iteration 5: (EM) log likelihood = -31894.326
Iteration 6: (EM) log likelihood = -31344.932
Iteration 7: (EM) log likelihood = -30958.956
Iteration 8: (EM) log likelihood = -30657.7
Iteration 9: (EM) log likelihood = -30416.215
Iteration 10: (EM) log likelihood = -30230.657
Iteration 11: (EM) log likelihood = -30089.056
Iteration 12: (EM) log likelihood = -29979.11
Iteration 13: (EM) log likelihood = -29895.663
Iteration 14: (EM) log likelihood = -29826.111
Iteration 15: (EM) log likelihood = -29765.524
Iteration 16: (EM) log likelihood = -29711.593
Iteration 17: (EM) log likelihood = -29662.453
Iteration 18: (EM) log likelihood = -29617.242
Iteration 19: (EM) log likelihood = -29575.61
Iteration 20: (EM) log likelihood = -29536.972
Iteration 21: (EM) log likelihood = -29498.809
Iteration 22: (EM) log likelihood = -29460.953
Iteration 23: (EM) log likelihood = -29422.593
Iteration 24: (EM) log likelihood = -29383.42
Iteration 25: (EM) log likelihood = -29343.659
Iteration 26: (EM) log likelihood = -29303.775
Iteration 27: (EM) log likelihood = -29264.06
Iteration 28: (EM) log likelihood = -29224.316
Iteration 29: (EM) log likelihood = -29185.189
Iteration 30: (EM) log likelihood = -29146.151
Iteration 31: (EM) log likelihood = -29108.886
Iteration 32: (EM) log likelihood = -29072.383
Iteration 33: (EM) log likelihood = -29038.029
Iteration 34: (EM) log likelihood = -29005.092
Iteration 35: (EM) log likelihood = -28974.308
Iteration 36: (EM) log likelihood = -28944.737
Iteration 37: (EM) log likelihood = -28917.225
Iteration 38: (EM) log likelihood = -28891.293
Iteration 39: (EM) log likelihood = -28866.159
Iteration 40: (EM) log likelihood = -28842.38
Iteration 41: (EM) log likelihood = -28819.168
Iteration 42: (EM) log likelihood = -28796.426
Iteration 43: (EM) log likelihood = -28773.582
Iteration 44: (EM) log likelihood = -28751.138
Iteration 45: (EM) log likelihood = -28728.723
Iteration 46: (EM) log likelihood = -28705.694
Iteration 47: (EM) log likelihood = -28681.56
Iteration 48: (EM) log likelihood = -28655.041
Iteration 49: (EM) log likelihood = -28629.097
Iteration 50: (EM) log likelihood = -28602.112
Iteration 51: (EM) log likelihood = -28574.959
Iteration 52: (EM) log likelihood = -28547.97
Iteration 53: (EM) log likelihood = -28521.094
Iteration 54: (EM) log likelihood = -28495.916
Iteration 55: (EM) log likelihood = -28472.187
Iteration 56: (EM) log likelihood = -28449.9
Iteration 57: (EM) log likelihood = -28429.682
Iteration 58: (EM) log likelihood = -28411.874
Iteration 59: (EM) log likelihood = -28395.067
Iteration 60: (EM) log likelihood = -28379.503
Iteration 61: (EM) log likelihood = -28365.11
Iteration 62: (EM) log likelihood = -28351.042
Iteration 63: (EM) log likelihood = -28337.942
Iteration 64: (EM) log likelihood = -28324.877
Iteration 65: (EM) log likelihood = -28313.005
Iteration 66: (EM) log likelihood = -28301.512
Iteration 67: (EM) log likelihood = -28288.541
Iteration 68: (EM) log likelihood = -28277.032
Iteration 69: (EM) log likelihood = -28264.823
Iteration 70: (EM) log likelihood = -28253.095
Iteration 71: (EM) log likelihood = -28241.846
Iteration 72: (EM) log likelihood = -28231.188
Iteration 73: (EM) log likelihood = -28221.21
Iteration 74: (EM) log likelihood = -28212.369
Iteration 75: (EM) log likelihood = -28203.692
Iteration 76: (EM) log likelihood = -28195.807
Iteration 77: (EM) log likelihood = -28188.815
Iteration 78: (EM) log likelihood = -28181.843
Iteration 79: (EM) log likelihood = -28176.013
Iteration 80: (EM) log likelihood = -28170.646
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.0974
Iteration 1: (class) log likelihood = -6096.0974
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29380.607
Iteration 1: (outcome) log likelihood = -29197.146
Iteration 2: (outcome) log likelihood = -29138.265
Iteration 3: (outcome) log likelihood = -29129.148
Iteration 4: (outcome) log likelihood = -29127.663
Iteration 5: (outcome) log likelihood = -29127.502
Iteration 6: (outcome) log likelihood = -29127.468
Iteration 7: (outcome) log likelihood = -29127.461
Iteration 8: (outcome) log likelihood = -29127.459
Iteration 9: (outcome) log likelihood = -29127.459
Iteration 10: (outcome) log likelihood = -29127.459
Iteration 11: (outcome) log likelihood = -29127.459
Refining starting values:
Iteration 0: (EM) log likelihood = -35215.263
Iteration 1: (EM) log likelihood = -35183.461
Iteration 2: (EM) log likelihood = -35083.148
Iteration 3: (EM) log likelihood = -34771.117
Iteration 4: (EM) log likelihood = -34002.062
Iteration 5: (EM) log likelihood = -32859.096
Iteration 6: (EM) log likelihood = -31892.336
Iteration 7: (EM) log likelihood = -31256.862
Iteration 8: (EM) log likelihood = -30826.224
Iteration 9: (EM) log likelihood = -30527.071
Iteration 10: (EM) log likelihood = -30313.21
Iteration 11: (EM) log likelihood = -30153.913
Iteration 12: (EM) log likelihood = -30025.21
Iteration 13: (EM) log likelihood = -29911.237
Iteration 14: (EM) log likelihood = -29805.979
Iteration 15: (EM) log likelihood = -29708.937
Iteration 16: (EM) log likelihood = -29620.989
Iteration 17: (EM) log likelihood = -29542.52
Iteration 18: (EM) log likelihood = -29472.485
Iteration 19: (EM) log likelihood = -29408.701
Iteration 20: (EM) log likelihood = -29351.966
Iteration 21: (EM) log likelihood = -29300.531
Iteration 22: (EM) log likelihood = -29253.449
Iteration 23: (EM) log likelihood = -29210.19
Iteration 24: (EM) log likelihood = -29170.199
Iteration 25: (EM) log likelihood = -29129.254
Iteration 26: (EM) log likelihood = -29094.184
Iteration 27: (EM) log likelihood = -29060.825
Iteration 28: (EM) log likelihood = -29028.78
Iteration 29: (EM) log likelihood = -28997.916
Iteration 30: (EM) log likelihood = -28967.581
Iteration 31: (EM) log likelihood = -28937.345
Iteration 32: (EM) log likelihood = -28908.225
Iteration 33: (EM) log likelihood = -28879.191
Iteration 34: (EM) log likelihood = -28851.375
Iteration 35: (EM) log likelihood = -28824.19
Iteration 36: (EM) log likelihood = -28797.808
Iteration 37: (EM) log likelihood = -28771.845
Iteration 38: (EM) log likelihood = -28746.83
Iteration 39: (EM) log likelihood = -28722.185
Iteration 40: (EM) log likelihood = -28697.28
Iteration 41: (EM) log likelihood = -28672.923
Iteration 42: (EM) log likelihood = -28650.688
Iteration 43: (EM) log likelihood = -28627.583
Iteration 44: (EM) log likelihood = -28604.251
Iteration 45: (EM) log likelihood = -28580.63
Iteration 46: (EM) log likelihood = -28556.22
Iteration 47: (EM) log likelihood = -28531.317
Iteration 48: (EM) log likelihood = -28506.641
Iteration 49: (EM) log likelihood = -28482.771
Iteration 50: (EM) log likelihood = -28460.284
Iteration 51: (EM) log likelihood = -28440.353
Iteration 52: (EM) log likelihood = -28421.337
Iteration 53: (EM) log likelihood = -28403.306
Iteration 54: (EM) log likelihood = -28388.362
Iteration 55: (EM) log likelihood = -28373.973
Iteration 56: (EM) log likelihood = -28360.288
Iteration 57: (EM) log likelihood = -28348.942
Iteration 58: (EM) log likelihood = -28337.39
Iteration 59: (EM) log likelihood = -28327.089
Iteration 60: (EM) log likelihood = -28317.414
Iteration 61: (EM) log likelihood = -28307.709
Iteration 62: (EM) log likelihood = -28299.617
Iteration 63: (EM) log likelihood = -28291.93
Iteration 64: (EM) log likelihood = -28283.566
Iteration 65: (EM) log likelihood = -28276.984
Iteration 66: (EM) log likelihood = -28269.991
Iteration 67: (EM) log likelihood = -28263.793
Iteration 68: (EM) log likelihood = -28257.675
Iteration 69: (EM) log likelihood = -28252.466
Iteration 70: (EM) log likelihood = -28247.458
Iteration 71: (EM) log likelihood = -28242.173
Iteration 72: (EM) log likelihood = -28237.576
Iteration 73: (EM) log likelihood = -28233.266
Iteration 74: (EM) log likelihood = -28228.458
Iteration 75: (EM) log likelihood = -28224.504
Iteration 76: (EM) log likelihood = -28220.662
Iteration 77: (EM) log likelihood = -28217.018
Iteration 78: (EM) log likelihood = -28212.836
Iteration 79: (EM) log likelihood = -28209.202
Iteration 80: (EM) log likelihood = -28205.512
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.4718
Iteration 1: (class) log likelihood = -6097.4718
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30079.037
Iteration 1: (outcome) log likelihood = -29319.05
Iteration 2: (outcome) log likelihood = -29171.079
Iteration 3: (outcome) log likelihood = -29139.516
Iteration 4: (outcome) log likelihood = -29133.388
Iteration 5: (outcome) log likelihood = -29132.032
Iteration 6: (outcome) log likelihood = -29131.73
Iteration 7: (outcome) log likelihood = -29131.654
Iteration 8: (outcome) log likelihood = -29131.639
Iteration 9: (outcome) log likelihood = -29131.637
Iteration 10: (outcome) log likelihood = -29131.636
Iteration 11: (outcome) log likelihood = -29131.636
Iteration 12: (outcome) log likelihood = -29131.636
Refining starting values:
Iteration 0: (EM) log likelihood = -35219.778
Iteration 1: (EM) log likelihood = -35193.817
Iteration 2: (EM) log likelihood = -35129.257
Iteration 3: (EM) log likelihood = -34953.566
Iteration 4: (EM) log likelihood = -34478.711
Iteration 5: (EM) log likelihood = -33554.468
Iteration 6: (EM) log likelihood = -32498.894
Iteration 7: (EM) log likelihood = -31595.087
Iteration 8: (EM) log likelihood = -30879.591
Iteration 9: (EM) log likelihood = -30431.317
Iteration 10: (EM) log likelihood = -30155.58
Iteration 11: (EM) log likelihood = -29954.582
Iteration 12: (EM) log likelihood = -29794.427
Iteration 13: (EM) log likelihood = -29664.13
Iteration 14: (EM) log likelihood = -29556.157
Iteration 15: (EM) log likelihood = -29469.809
Iteration 16: (EM) log likelihood = -29398.379
Iteration 17: (EM) log likelihood = -29339.772
Iteration 18: (EM) log likelihood = -29290.207
Iteration 19: (EM) log likelihood = -29246.123
Iteration 20: (EM) log likelihood = -29207.896
Iteration 21: (EM) log likelihood = -29175.695
Iteration 22: (EM) log likelihood = -29145.487
Iteration 23: (EM) log likelihood = -29116.831
Iteration 24: (EM) log likelihood = -29090.323
Iteration 25: (EM) log likelihood = -29064.397
Iteration 26: (EM) log likelihood = -29040.017
Iteration 27: (EM) log likelihood = -29016.229
Iteration 28: (EM) log likelihood = -28993.927
Iteration 29: (EM) log likelihood = -28971.104
Iteration 30: (EM) log likelihood = -28950.531
Iteration 31: (EM) log likelihood = -28931.152
Iteration 32: (EM) log likelihood = -28913.547
Iteration 33: (EM) log likelihood = -28897.159
Iteration 34: (EM) log likelihood = -28881.325
Iteration 35: (EM) log likelihood = -28866.566
Iteration 36: (EM) log likelihood = -28852.824
Iteration 37: (EM) log likelihood = -28840.172
Iteration 38: (EM) log likelihood = -28828.449
Iteration 39: (EM) log likelihood = -28817.915
Iteration 40: (EM) log likelihood = -28807.624
Iteration 41: (EM) log likelihood = -28798.543
Iteration 42: (EM) log likelihood = -28790.433
Iteration 43: (EM) log likelihood = -28783.737
Iteration 44: (EM) log likelihood = -28775.405
Iteration 45: (EM) log likelihood = -28767.905
Iteration 46: (EM) log likelihood = -28762.871
Iteration 47: (EM) log likelihood = -28757.376
Iteration 48: (EM) log likelihood = -28754.753
Iteration 49: (EM) log likelihood = -28749.397
Iteration 50: (EM) log likelihood = -28744.923
Iteration 51: (EM) log likelihood = -28739.985
Iteration 52: (EM) log likelihood = -28736.37
Iteration 53: (EM) log likelihood = -28733.604
Iteration 54: (EM) log likelihood = -28732.139
Iteration 55: (EM) log likelihood = -28728.409
Iteration 56: (EM) log likelihood = -28721.955
Iteration 57: (EM) log likelihood = -28721.507
Iteration 58: (EM) log likelihood = -28716.877
Iteration 59: (EM) log likelihood = -28715.57
Iteration 60: (EM) log likelihood = -28714.189
Iteration 61: (EM) log likelihood = -28711.375
Iteration 62: (EM) log likelihood = -28708.47
Iteration 63: (EM) log likelihood = -28704.861
Iteration 64: (EM) log likelihood = -28704.626
Iteration 65: (EM) log likelihood = -28702.862
Iteration 66: (EM) log likelihood = -28700.429
Iteration 67: (EM) log likelihood = -28698.841
Iteration 68: (EM) log likelihood = -28696.487
Iteration 69: (EM) log likelihood = -28695.981
Iteration 70: (EM) log likelihood = -28694.454
Iteration 71: (EM) log likelihood = -28693.211
Iteration 72: (EM) log likelihood = -28690.748
Iteration 73: (EM) log likelihood = -28689.986
Iteration 74: (EM) log likelihood = -28688.88
Iteration 75: (EM) log likelihood = -28687.715
Iteration 76: (EM) log likelihood = -28686.494
Iteration 77: (EM) log likelihood = -28685.775
Iteration 78: (EM) log likelihood = -28684.812
Iteration 79: (EM) log likelihood = -28685.205
Iteration 80: (EM) log likelihood = -28684.712
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.1804
Iteration 1: (class) log likelihood = -6097.1804
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29801.973
Iteration 1: (outcome) log likelihood = -29271.27
Iteration 2: (outcome) log likelihood = -29155.257
Iteration 3: (outcome) log likelihood = -29135.811
Iteration 4: (outcome) log likelihood = -29131.875
Iteration 5: (outcome) log likelihood = -29130.951
Iteration 6: (outcome) log likelihood = -29130.786
Iteration 7: (outcome) log likelihood = -29130.768
Iteration 8: (outcome) log likelihood = -29130.765
Iteration 9: (outcome) log likelihood = -29130.764
Iteration 10: (outcome) log likelihood = -29130.764
Iteration 11: (outcome) log likelihood = -29130.764
Iteration 12: (outcome) log likelihood = -29130.764
Refining starting values:
Iteration 0: (EM) log likelihood = -35209.565
Iteration 1: (EM) log likelihood = -35145.144
Iteration 2: (EM) log likelihood = -34942.307
Iteration 3: (EM) log likelihood = -34406.635
Iteration 4: (EM) log likelihood = -33531.894
Iteration 5: (EM) log likelihood = -32687.168
Iteration 6: (EM) log likelihood = -32012.064
Iteration 7: (EM) log likelihood = -31444.202
Iteration 8: (EM) log likelihood = -30969.193
Iteration 9: (EM) log likelihood = -30598.078
Iteration 10: (EM) log likelihood = -30310.199
Iteration 11: (EM) log likelihood = -30082.353
Iteration 12: (EM) log likelihood = -29901.53
Iteration 13: (EM) log likelihood = -29746.828
Iteration 14: (EM) log likelihood = -29612.897
Iteration 15: (EM) log likelihood = -29497.963
Iteration 16: (EM) log likelihood = -29407.259
Iteration 17: (EM) log likelihood = -29336.538
Iteration 18: (EM) log likelihood = -29279.983
Iteration 19: (EM) log likelihood = -29232.654
Iteration 20: (EM) log likelihood = -29192.641
Iteration 21: (EM) log likelihood = -29158.589
Iteration 22: (EM) log likelihood = -29128.944
Iteration 23: (EM) log likelihood = -29102.878
Iteration 24: (EM) log likelihood = -29079.979
Iteration 25: (EM) log likelihood = -29059.369
Iteration 26: (EM) log likelihood = -29039.636
Iteration 27: (EM) log likelihood = -29023.383
Iteration 28: (EM) log likelihood = -29008.491
Iteration 29: (EM) log likelihood = -28993.738
Iteration 30: (EM) log likelihood = -28981.901
Iteration 31: (EM) log likelihood = -28967.846
Iteration 32: (EM) log likelihood = -28954.657
Iteration 33: (EM) log likelihood = -28942.331
Iteration 34: (EM) log likelihood = -28930.903
Iteration 35: (EM) log likelihood = -28919.538
Iteration 36: (EM) log likelihood = -28909.657
Iteration 37: (EM) log likelihood = -28898.825
Iteration 38: (EM) log likelihood = -28887.253
Iteration 39: (EM) log likelihood = -28878.562
Iteration 40: (EM) log likelihood = -28871.941
Iteration 41: (EM) log likelihood = -28862.323
Iteration 42: (EM) log likelihood = -28854.107
Iteration 43: (EM) log likelihood = -28846.227
Iteration 44: (EM) log likelihood = -28836.982
Iteration 45: (EM) log likelihood = -28829.986
Iteration 46: (EM) log likelihood = -28822.526
Iteration 47: (EM) log likelihood = -28815.24
Iteration 48: (EM) log likelihood = -28810.469
Iteration 49: (EM) log likelihood = -28802.55
Iteration 50: (EM) log likelihood = -28796.234
Iteration 51: (EM) log likelihood = -28790.788
Iteration 52: (EM) log likelihood = -28783.641
Iteration 53: (EM) log likelihood = -28779.002
Iteration 54: (EM) log likelihood = -28775.555
Iteration 55: (EM) log likelihood = -28770.397
Iteration 56: (EM) log likelihood = -28765.439
Iteration 57: (EM) log likelihood = -28760.632
Iteration 58: (EM) log likelihood = -28755.856
Iteration 59: (EM) log likelihood = -28751.264
Iteration 60: (EM) log likelihood = -28747.418
Iteration 61: (EM) log likelihood = -28743.289
Iteration 62: (EM) log likelihood = -28739.867
Iteration 63: (EM) log likelihood = -28734.553
Iteration 64: (EM) log likelihood = -28732.887
Iteration 65: (EM) log likelihood = -28729.898
Iteration 66: (EM) log likelihood = -28727.745
Iteration 67: (EM) log likelihood = -28724.55
Iteration 68: (EM) log likelihood = -28721.812
Iteration 69: (EM) log likelihood = -28719.967
Iteration 70: (EM) log likelihood = -28717.781
Iteration 71: (EM) log likelihood = -28715.909
Iteration 72: (EM) log likelihood = -28714.097
Iteration 73: (EM) log likelihood = -28712.543
Iteration 74: (EM) log likelihood = -28711.748
Iteration 75: (EM) log likelihood = -28710.324
Iteration 76: (EM) log likelihood = -28708.898
Iteration 77: (EM) log likelihood = -28708.569
Iteration 78: (EM) log likelihood = -28707.302
Iteration 79: (EM) log likelihood = -28706.04
Iteration 80: (EM) log likelihood = -28705.315
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.9516
Iteration 1: (class) log likelihood = -6096.9516
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29774.752
Iteration 1: (outcome) log likelihood = -29247.852
Iteration 2: (outcome) log likelihood = -29132.214
Iteration 3: (outcome) log likelihood = -29113.227
Iteration 4: (outcome) log likelihood = -29109.555
Iteration 5: (outcome) log likelihood = -29108.744
Iteration 6: (outcome) log likelihood = -29108.561
Iteration 7: (outcome) log likelihood = -29108.516
Iteration 8: (outcome) log likelihood = -29108.507
Iteration 9: (outcome) log likelihood = -29108.506
Iteration 10: (outcome) log likelihood = -29108.505
Iteration 11: (outcome) log likelihood = -29108.505
Iteration 12: (outcome) log likelihood = -29108.505
Refining starting values:
Iteration 0: (EM) log likelihood = -35157.264
Iteration 1: (EM) log likelihood = -34987.747
Iteration 2: (EM) log likelihood = -34517.927
Iteration 3: (EM) log likelihood = -33668.988
Iteration 4: (EM) log likelihood = -32683.713
Iteration 5: (EM) log likelihood = -31830.004
Iteration 6: (EM) log likelihood = -31199.892
Iteration 7: (EM) log likelihood = -30764.734
Iteration 8: (EM) log likelihood = -30466.498
Iteration 9: (EM) log likelihood = -30255.093
Iteration 10: (EM) log likelihood = -30099.062
Iteration 11: (EM) log likelihood = -29972.861
Iteration 12: (EM) log likelihood = -29864.162
Iteration 13: (EM) log likelihood = -29765.398
Iteration 14: (EM) log likelihood = -29675.55
Iteration 15: (EM) log likelihood = -29595.419
Iteration 16: (EM) log likelihood = -29524.867
Iteration 17: (EM) log likelihood = -29460.286
Iteration 18: (EM) log likelihood = -29399.234
Iteration 19: (EM) log likelihood = -29341.473
Iteration 20: (EM) log likelihood = -29284.267
Iteration 21: (EM) log likelihood = -29227.092
Iteration 22: (EM) log likelihood = -29172.748
Iteration 23: (EM) log likelihood = -29120.952
Iteration 24: (EM) log likelihood = -29072.055
Iteration 25: (EM) log likelihood = -29023.691
Iteration 26: (EM) log likelihood = -28976.092
Iteration 27: (EM) log likelihood = -28932.493
Iteration 28: (EM) log likelihood = -28888.812
Iteration 29: (EM) log likelihood = -28846.24
Iteration 30: (EM) log likelihood = -28805.557
Iteration 31: (EM) log likelihood = -28766.878
Iteration 32: (EM) log likelihood = -28733.27
Iteration 33: (EM) log likelihood = -28704.022
Iteration 34: (EM) log likelihood = -28679.322
Iteration 35: (EM) log likelihood = -28658.83
Iteration 36: (EM) log likelihood = -28641.18
Iteration 37: (EM) log likelihood = -28626.11
Iteration 38: (EM) log likelihood = -28613.791
Iteration 39: (EM) log likelihood = -28603.425
Iteration 40: (EM) log likelihood = -28593.307
Iteration 41: (EM) log likelihood = -28584.559
Iteration 42: (EM) log likelihood = -28576.836
Iteration 43: (EM) log likelihood = -28569.993
Iteration 44: (EM) log likelihood = -28563.227
Iteration 45: (EM) log likelihood = -28556.269
Iteration 46: (EM) log likelihood = -28550.151
Iteration 47: (EM) log likelihood = -28544.895
Iteration 48: (EM) log likelihood = -28539.648
Iteration 49: (EM) log likelihood = -28534.758
Iteration 50: (EM) log likelihood = -28529.965
Iteration 51: (EM) log likelihood = -28525.858
Iteration 52: (EM) log likelihood = -28521.266
Iteration 53: (EM) log likelihood = -28517.124
Iteration 54: (EM) log likelihood = -28511.678
Iteration 55: (EM) log likelihood = -28508.125
Iteration 56: (EM) log likelihood = -28504.31
Iteration 57: (EM) log likelihood = -28500.746
Iteration 58: (EM) log likelihood = -28497.637
Iteration 59: (EM) log likelihood = -28494.039
Iteration 60: (EM) log likelihood = -28490.622
Iteration 61: (EM) log likelihood = -28487.592
Iteration 62: (EM) log likelihood = -28484.348
Iteration 63: (EM) log likelihood = -28481.119
Iteration 64: (EM) log likelihood = -28478.065
Iteration 65: (EM) log likelihood = -28475.317
Iteration 66: (EM) log likelihood = -28472.077
Iteration 67: (EM) log likelihood = -28469.199
Iteration 68: (EM) log likelihood = -28466.878
Iteration 69: (EM) log likelihood = -28464.226
Iteration 70: (EM) log likelihood = -28461.032
Iteration 71: (EM) log likelihood = -28458.367
Iteration 72: (EM) log likelihood = -28455.857
Iteration 73: (EM) log likelihood = -28453.655
Iteration 74: (EM) log likelihood = -28451.339
Iteration 75: (EM) log likelihood = -28449.34
Iteration 76: (EM) log likelihood = -28447.052
Iteration 77: (EM) log likelihood = -28444.691
Iteration 78: (EM) log likelihood = -28442.486
Iteration 79: (EM) log likelihood = -28440.577
Iteration 80: (EM) log likelihood = -28438.343
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6093.0421
Iteration 1: (class) log likelihood = -6093.0421
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29585.687
Iteration 1: (outcome) log likelihood = -29179.133
Iteration 2: (outcome) log likelihood = -29137.523
Iteration 3: (outcome) log likelihood = -29124.845
Iteration 4: (outcome) log likelihood = -29122.037
Iteration 5: (outcome) log likelihood = -29121.463
Iteration 6: (outcome) log likelihood = -29121.346
Iteration 7: (outcome) log likelihood = -29121.318
Iteration 8: (outcome) log likelihood = -29121.312
Iteration 9: (outcome) log likelihood = -29121.311
Iteration 10: (outcome) log likelihood = -29121.31
Iteration 11: (outcome) log likelihood = -29121.31
Refining starting values:
Iteration 0: (EM) log likelihood = -35184.381
Iteration 1: (EM) log likelihood = -35073.355
Iteration 2: (EM) log likelihood = -34737.054
Iteration 3: (EM) log likelihood = -33992.29
Iteration 4: (EM) log likelihood = -32975.921
Iteration 5: (EM) log likelihood = -32105.354
Iteration 6: (EM) log likelihood = -31478.631
Iteration 7: (EM) log likelihood = -31025.628
Iteration 8: (EM) log likelihood = -30695.092
Iteration 9: (EM) log likelihood = -30448.999
Iteration 10: (EM) log likelihood = -30257.685
Iteration 11: (EM) log likelihood = -30105.993
Iteration 12: (EM) log likelihood = -29975.194
Iteration 13: (EM) log likelihood = -29858.713
Iteration 14: (EM) log likelihood = -29758.987
Iteration 15: (EM) log likelihood = -29670.628
Iteration 16: (EM) log likelihood = -29591.104
Iteration 17: (EM) log likelihood = -29522.862
Iteration 18: (EM) log likelihood = -29464.169
Iteration 19: (EM) log likelihood = -29414.955
Iteration 20: (EM) log likelihood = -29373.313
Iteration 21: (EM) log likelihood = -29337.977
Iteration 22: (EM) log likelihood = -29306.122
Iteration 23: (EM) log likelihood = -29277.257
Iteration 24: (EM) log likelihood = -29251.795
Iteration 25: (EM) log likelihood = -29229.366
Iteration 26: (EM) log likelihood = -29208.343
Iteration 27: (EM) log likelihood = -29189.992
Iteration 28: (EM) log likelihood = -29172.396
Iteration 29: (EM) log likelihood = -29157.3
Iteration 30: (EM) log likelihood = -29142.544
Iteration 31: (EM) log likelihood = -29128.426
Iteration 32: (EM) log likelihood = -29115.074
Iteration 33: (EM) log likelihood = -29102.095
Iteration 34: (EM) log likelihood = -29091.033
Iteration 35: (EM) log likelihood = -29078.05
Iteration 36: (EM) log likelihood = -29065.647
Iteration 37: (EM) log likelihood = -29053.566
Iteration 38: (EM) log likelihood = -29042.216
Iteration 39: (EM) log likelihood = -29030.574
Iteration 40: (EM) log likelihood = -29019.374
Iteration 41: (EM) log likelihood = -29008.401
Iteration 42: (EM) log likelihood = -28997.325
Iteration 43: (EM) log likelihood = -28986.234
Iteration 44: (EM) log likelihood = -28975.815
Iteration 45: (EM) log likelihood = -28966.904
Iteration 46: (EM) log likelihood = -28957.211
Iteration 47: (EM) log likelihood = -28948.699
Iteration 48: (EM) log likelihood = -28940.709
Iteration 49: (EM) log likelihood = -28934.951
Iteration 50: (EM) log likelihood = -28928.208
Iteration 51: (EM) log likelihood = -28922.75
Iteration 52: (EM) log likelihood = -28917.524
Iteration 53: (EM) log likelihood = -28913.052
Iteration 54: (EM) log likelihood = -28908.47
Iteration 55: (EM) log likelihood = -28904.517
Iteration 56: (EM) log likelihood = -28901.21
Iteration 57: (EM) log likelihood = -28898.405
Iteration 58: (EM) log likelihood = -28895.35
Iteration 59: (EM) log likelihood = -28892.445
Iteration 60: (EM) log likelihood = -28889.685
Iteration 61: (EM) log likelihood = -28887.074
Iteration 62: (EM) log likelihood = -28884.333
Iteration 63: (EM) log likelihood = -28882.067
Iteration 64: (EM) log likelihood = -28878.464
Iteration 65: (EM) log likelihood = -28876.378
Iteration 66: (EM) log likelihood = -28873.86
Iteration 67: (EM) log likelihood = -28870.747
Iteration 68: (EM) log likelihood = -28868.846
Iteration 69: (EM) log likelihood = -28865.716
Iteration 70: (EM) log likelihood = -28862.203
Iteration 71: (EM) log likelihood = -28859.66
Iteration 72: (EM) log likelihood = -28856.909
Iteration 73: (EM) log likelihood = -28853.545
Iteration 74: (EM) log likelihood = -28850.452
Iteration 75: (EM) log likelihood = -28848.256
Iteration 76: (EM) log likelihood = -28844.495
Iteration 77: (EM) log likelihood = -28840.836
Iteration 78: (EM) log likelihood = -28837.082
Iteration 79: (EM) log likelihood = -28833.262
Iteration 80: (EM) log likelihood = -28828.431
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6093.6483
Iteration 1: (class) log likelihood = -6093.6483
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29131.612
Iteration 1: (outcome) log likelihood = -29131.612
Refining starting values:
Iteration 0: (EM) log likelihood = -35202.865
Iteration 1: (EM) log likelihood = -35128.407
Iteration 2: (EM) log likelihood = -34907.309
Iteration 3: (EM) log likelihood = -34341.281
Iteration 4: (EM) log likelihood = -33302.426
Iteration 5: (EM) log likelihood = -32125.451
Iteration 6: (EM) log likelihood = -31216.111
Iteration 7: (EM) log likelihood = -30627.721
Iteration 8: (EM) log likelihood = -30283.836
Iteration 9: (EM) log likelihood = -30084.119
Iteration 10: (EM) log likelihood = -29950.75
Iteration 11: (EM) log likelihood = -29848.025
Iteration 12: (EM) log likelihood = -29764.861
Iteration 13: (EM) log likelihood = -29696.021
Iteration 14: (EM) log likelihood = -29638.426
Iteration 15: (EM) log likelihood = -29591.004
Iteration 16: (EM) log likelihood = -29552.6
Iteration 17: (EM) log likelihood = -29519.984
Iteration 18: (EM) log likelihood = -29494.67
Iteration 19: (EM) log likelihood = -29474.117
Iteration 20: (EM) log likelihood = -29457.307
Iteration 21: (EM) log likelihood = -29443.615
Iteration 22: (EM) log likelihood = -29431.761
Iteration 23: (EM) log likelihood = -29422.185
Iteration 24: (EM) log likelihood = -29412.777
Iteration 25: (EM) log likelihood = -29405.482
Iteration 26: (EM) log likelihood = -29398.859
Iteration 27: (EM) log likelihood = -29392.801
Iteration 28: (EM) log likelihood = -29385.852
Iteration 29: (EM) log likelihood = -29380.364
Iteration 30: (EM) log likelihood = -29374.398
Iteration 31: (EM) log likelihood = -29369.23
Iteration 32: (EM) log likelihood = -29363.717
Iteration 33: (EM) log likelihood = -29357.006
Iteration 34: (EM) log likelihood = -29350.104
Iteration 35: (EM) log likelihood = -29343.061
Iteration 36: (EM) log likelihood = -29335.11
Iteration 37: (EM) log likelihood = -29326.572
Iteration 38: (EM) log likelihood = -29317.205
Iteration 39: (EM) log likelihood = -29306.029
Iteration 40: (EM) log likelihood = -29293.907
Iteration 41: (EM) log likelihood = -29280.953
Iteration 42: (EM) log likelihood = -29266.842
Iteration 43: (EM) log likelihood = -29251.244
Iteration 44: (EM) log likelihood = -29233.93
Iteration 45: (EM) log likelihood = -29214.891
Iteration 46: (EM) log likelihood = -29194.086
Iteration 47: (EM) log likelihood = -29172.266
Iteration 48: (EM) log likelihood = -29149.186
Iteration 49: (EM) log likelihood = -29125.525
Iteration 50: (EM) log likelihood = -29102.115
Iteration 51: (EM) log likelihood = -29078.858
Iteration 52: (EM) log likelihood = -29055.874
Iteration 53: (EM) log likelihood = -29034.47
Iteration 54: (EM) log likelihood = -29013.432
Iteration 55: (EM) log likelihood = -28993.973
Iteration 56: (EM) log likelihood = -28975.649
Iteration 57: (EM) log likelihood = -28958.175
Iteration 58: (EM) log likelihood = -28941.892
Iteration 59: (EM) log likelihood = -28928.775
Iteration 60: (EM) log likelihood = -28914.31
Iteration 61: (EM) log likelihood = -28901.209
Iteration 62: (EM) log likelihood = -28888.201
Iteration 63: (EM) log likelihood = -28876.038
Iteration 64: (EM) log likelihood = -28864.067
Iteration 65: (EM) log likelihood = -28853.902
Iteration 66: (EM) log likelihood = -28844.04
Iteration 67: (EM) log likelihood = -28832.387
Iteration 68: (EM) log likelihood = -28822.563
Iteration 69: (EM) log likelihood = -28813.231
Iteration 70: (EM) log likelihood = -28804.222
Iteration 71: (EM) log likelihood = -28795.252
Iteration 72: (EM) log likelihood = -28786.024
Iteration 73: (EM) log likelihood = -28775.821
Iteration 74: (EM) log likelihood = -28768.19
Iteration 75: (EM) log likelihood = -28759.346
Iteration 76: (EM) log likelihood = -28749.371
Iteration 77: (EM) log likelihood = -28741.544
Iteration 78: (EM) log likelihood = -28730.652
Iteration 79: (EM) log likelihood = -28720.222
Iteration 80: (EM) log likelihood = -28709.692
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.5268
Iteration 1: (class) log likelihood = -6096.5268
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30083.784
Iteration 1: (outcome) log likelihood = -29319.578
Iteration 2: (outcome) log likelihood = -29165.67
Iteration 3: (outcome) log likelihood = -29134.236
Iteration 4: (outcome) log likelihood = -29127.686
Iteration 5: (outcome) log likelihood = -29126.211
Iteration 6: (outcome) log likelihood = -29125.973
Iteration 7: (outcome) log likelihood = -29125.915
Iteration 8: (outcome) log likelihood = -29125.902
Iteration 9: (outcome) log likelihood = -29125.9
Iteration 10: (outcome) log likelihood = -29125.899
Iteration 11: (outcome) log likelihood = -29125.899
Iteration 12: (outcome) log likelihood = -29125.899
Refining starting values:
Iteration 0: (EM) log likelihood = -35206.947
Iteration 1: (EM) log likelihood = -35155.639
Iteration 2: (EM) log likelihood = -34985.674
Iteration 3: (EM) log likelihood = -34429.229
Iteration 4: (EM) log likelihood = -33287.366
Iteration 5: (EM) log likelihood = -32254.73
Iteration 6: (EM) log likelihood = -31619.433
Iteration 7: (EM) log likelihood = -31177.604
Iteration 8: (EM) log likelihood = -30797.011
Iteration 9: (EM) log likelihood = -30460.304
Iteration 10: (EM) log likelihood = -30196.831
Iteration 11: (EM) log likelihood = -30011.517
Iteration 12: (EM) log likelihood = -29880.673
Iteration 13: (EM) log likelihood = -29788.781
Iteration 14: (EM) log likelihood = -29715.488
Iteration 15: (EM) log likelihood = -29656.484
Iteration 16: (EM) log likelihood = -29608.297
Iteration 17: (EM) log likelihood = -29567.212
Iteration 18: (EM) log likelihood = -29532.144
Iteration 19: (EM) log likelihood = -29501.479
Iteration 20: (EM) log likelihood = -29476.093
Iteration 21: (EM) log likelihood = -29454.462
Iteration 22: (EM) log likelihood = -29436.432
Iteration 23: (EM) log likelihood = -29420.21
Iteration 24: (EM) log likelihood = -29406.552
Iteration 25: (EM) log likelihood = -29394.607
Iteration 26: (EM) log likelihood = -29384.03
Iteration 27: (EM) log likelihood = -29372.876
Iteration 28: (EM) log likelihood = -29362.552
Iteration 29: (EM) log likelihood = -29353.683
Iteration 30: (EM) log likelihood = -29344.265
Iteration 31: (EM) log likelihood = -29333.874
Iteration 32: (EM) log likelihood = -29324.769
Iteration 33: (EM) log likelihood = -29314.954
Iteration 34: (EM) log likelihood = -29303.974
Iteration 35: (EM) log likelihood = -29293.088
Iteration 36: (EM) log likelihood = -29281.746
Iteration 37: (EM) log likelihood = -29269.18
Iteration 38: (EM) log likelihood = -29257.368
Iteration 39: (EM) log likelihood = -29244.541
Iteration 40: (EM) log likelihood = -29231.371
Iteration 41: (EM) log likelihood = -29218.188
Iteration 42: (EM) log likelihood = -29204.627
Iteration 43: (EM) log likelihood = -29190.515
Iteration 44: (EM) log likelihood = -29175.77
Iteration 45: (EM) log likelihood = -29160.294
Iteration 46: (EM) log likelihood = -29146.77
Iteration 47: (EM) log likelihood = -29131.402
Iteration 48: (EM) log likelihood = -29117.856
Iteration 49: (EM) log likelihood = -29102.563
Iteration 50: (EM) log likelihood = -29087.097
Iteration 51: (EM) log likelihood = -29072.193
Iteration 52: (EM) log likelihood = -29058.381
Iteration 53: (EM) log likelihood = -29043.96
Iteration 54: (EM) log likelihood = -29029.896
Iteration 55: (EM) log likelihood = -29015.812
Iteration 56: (EM) log likelihood = -29003.697
Iteration 57: (EM) log likelihood = -28988.336
Iteration 58: (EM) log likelihood = -28977.49
Iteration 59: (EM) log likelihood = -28965.959
Iteration 60: (EM) log likelihood = -28954.83
Iteration 61: (EM) log likelihood = -28946.3
Iteration 62: (EM) log likelihood = -28935.602
Iteration 63: (EM) log likelihood = -28925.612
Iteration 64: (EM) log likelihood = -28915.992
Iteration 65: (EM) log likelihood = -28908.248
Iteration 66: (EM) log likelihood = -28898.029
Iteration 67: (EM) log likelihood = -28890.719
Iteration 68: (EM) log likelihood = -28884.488
Iteration 69: (EM) log likelihood = -28878.231
Iteration 70: (EM) log likelihood = -28872.602
Iteration 71: (EM) log likelihood = -28866.273
Iteration 72: (EM) log likelihood = -28860.676
Iteration 73: (EM) log likelihood = -28855.913
Iteration 74: (EM) log likelihood = -28850.201
Iteration 75: (EM) log likelihood = -28846.169
Iteration 76: (EM) log likelihood = -28841.669
Iteration 77: (EM) log likelihood = -28837.861
Iteration 78: (EM) log likelihood = -28834.899
Iteration 79: (EM) log likelihood = -28831.463
Iteration 80: (EM) log likelihood = -28829.348
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6095.3687
Iteration 1: (class) log likelihood = -6095.3687
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29127.837
Iteration 1: (outcome) log likelihood = -29127.837
Refining starting values:
Iteration 0: (EM) log likelihood = -35207.658
Iteration 1: (EM) log likelihood = -35152.867
Iteration 2: (EM) log likelihood = -34979.764
Iteration 3: (EM) log likelihood = -34496.871
Iteration 4: (EM) log likelihood = -33620.616
Iteration 5: (EM) log likelihood = -32756.956
Iteration 6: (EM) log likelihood = -32147.469
Iteration 7: (EM) log likelihood = -31725.834
Iteration 8: (EM) log likelihood = -31425.315
Iteration 9: (EM) log likelihood = -31176.19
Iteration 10: (EM) log likelihood = -30943.257
Iteration 11: (EM) log likelihood = -30721.949
Iteration 12: (EM) log likelihood = -30516.876
Iteration 13: (EM) log likelihood = -30334.123
Iteration 14: (EM) log likelihood = -30178.445
Iteration 15: (EM) log likelihood = -30048.222
Iteration 16: (EM) log likelihood = -29938.23
Iteration 17: (EM) log likelihood = -29843.884
Iteration 18: (EM) log likelihood = -29761.711
Iteration 19: (EM) log likelihood = -29692.902
Iteration 20: (EM) log likelihood = -29635.506
Iteration 21: (EM) log likelihood = -29587.436
Iteration 22: (EM) log likelihood = -29547.79
Iteration 23: (EM) log likelihood = -29514.008
Iteration 24: (EM) log likelihood = -29483.761
Iteration 25: (EM) log likelihood = -29456.353
Iteration 26: (EM) log likelihood = -29429.769
Iteration 27: (EM) log likelihood = -29402.192
Iteration 28: (EM) log likelihood = -29372.533
Iteration 29: (EM) log likelihood = -29340.698
Iteration 30: (EM) log likelihood = -29305.769
Iteration 31: (EM) log likelihood = -29267.904
Iteration 32: (EM) log likelihood = -29227.354
Iteration 33: (EM) log likelihood = -29186.081
Iteration 34: (EM) log likelihood = -29144.095
Iteration 35: (EM) log likelihood = -29102.608
Iteration 36: (EM) log likelihood = -29062.017
Iteration 37: (EM) log likelihood = -29022.707
Iteration 38: (EM) log likelihood = -28984.564
Iteration 39: (EM) log likelihood = -28948.616
Iteration 40: (EM) log likelihood = -28915.298
Iteration 41: (EM) log likelihood = -28883.985
Iteration 42: (EM) log likelihood = -28854.614
Iteration 43: (EM) log likelihood = -28827.19
Iteration 44: (EM) log likelihood = -28801.54
Iteration 45: (EM) log likelihood = -28776.355
Iteration 46: (EM) log likelihood = -28753.671
Iteration 47: (EM) log likelihood = -28732.534
Iteration 48: (EM) log likelihood = -28712.301
Iteration 49: (EM) log likelihood = -28692.612
Iteration 50: (EM) log likelihood = -28673.267
Iteration 51: (EM) log likelihood = -28653.337
Iteration 52: (EM) log likelihood = -28632.148
Iteration 53: (EM) log likelihood = -28611.25
Iteration 54: (EM) log likelihood = -28590.233
Iteration 55: (EM) log likelihood = -28569.552
Iteration 56: (EM) log likelihood = -28549.257
Iteration 57: (EM) log likelihood = -28529.79
Iteration 58: (EM) log likelihood = -28511.832
Iteration 59: (EM) log likelihood = -28495.568
Iteration 60: (EM) log likelihood = -28480.382
Iteration 61: (EM) log likelihood = -28466.846
Iteration 62: (EM) log likelihood = -28454.001
Iteration 63: (EM) log likelihood = -28442.979
Iteration 64: (EM) log likelihood = -28432.552
Iteration 65: (EM) log likelihood = -28422.26
Iteration 66: (EM) log likelihood = -28413.066
Iteration 67: (EM) log likelihood = -28404.508
Iteration 68: (EM) log likelihood = -28397.591
Iteration 69: (EM) log likelihood = -28389.82
Iteration 70: (EM) log likelihood = -28382.513
Iteration 71: (EM) log likelihood = -28375.654
Iteration 72: (EM) log likelihood = -28370.258
Iteration 73: (EM) log likelihood = -28365.026
Iteration 74: (EM) log likelihood = -28359.008
Iteration 75: (EM) log likelihood = -28354.361
Iteration 76: (EM) log likelihood = -28350.474
Iteration 77: (EM) log likelihood = -28346.321
Iteration 78: (EM) log likelihood = -28342.083
Iteration 79: (EM) log likelihood = -28336.15
Iteration 80: (EM) log likelihood = -28328.434
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.5356
Iteration 1: (class) log likelihood = -6097.5356
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29128.392
Iteration 1: (outcome) log likelihood = -29128.392
Refining starting values:
Iteration 0: (EM) log likelihood = -35219.643
Iteration 1: (EM) log likelihood = -35185.413
Iteration 2: (EM) log likelihood = -35068.798
Iteration 3: (EM) log likelihood = -34707.128
Iteration 4: (EM) log likelihood = -33890.344
Iteration 5: (EM) log likelihood = -32797.372
Iteration 6: (EM) log likelihood = -31817.065
Iteration 7: (EM) log likelihood = -31071.669
Iteration 8: (EM) log likelihood = -30549.69
Iteration 9: (EM) log likelihood = -30211.658
Iteration 10: (EM) log likelihood = -30001.149
Iteration 11: (EM) log likelihood = -29858.833
Iteration 12: (EM) log likelihood = -29751.006
Iteration 13: (EM) log likelihood = -29662.802
Iteration 14: (EM) log likelihood = -29588.136
Iteration 15: (EM) log likelihood = -29521.655
Iteration 16: (EM) log likelihood = -29465.25
Iteration 17: (EM) log likelihood = -29416.268
Iteration 18: (EM) log likelihood = -29373.147
Iteration 19: (EM) log likelihood = -29336.436
Iteration 20: (EM) log likelihood = -29306.343
Iteration 21: (EM) log likelihood = -29280.716
Iteration 22: (EM) log likelihood = -29259.91
Iteration 23: (EM) log likelihood = -29243.124
Iteration 24: (EM) log likelihood = -29230.607
Iteration 25: (EM) log likelihood = -29220.238
Iteration 26: (EM) log likelihood = -29212.164
Iteration 27: (EM) log likelihood = -29205.485
Iteration 28: (EM) log likelihood = -29201.196
Iteration 29: (EM) log likelihood = -29197.736
Iteration 30: (EM) log likelihood = -29195.047
Iteration 31: (EM) log likelihood = -29192.793
Iteration 32: (EM) log likelihood = -29190.998
Iteration 33: (EM) log likelihood = -29189.414
Iteration 34: (EM) log likelihood = -29187.875
Iteration 35: (EM) log likelihood = -29186.582
Iteration 36: (EM) log likelihood = -29185.382
Iteration 37: (EM) log likelihood = -29183.929
Iteration 38: (EM) log likelihood = -29182.538
Iteration 39: (EM) log likelihood = -29180.955
Iteration 40: (EM) log likelihood = -29179.373
Iteration 41: (EM) log likelihood = -29177.527
Iteration 42: (EM) log likelihood = -29175.275
Iteration 43: (EM) log likelihood = -29173.034
Iteration 44: (EM) log likelihood = -29170.091
Iteration 45: (EM) log likelihood = -29166.864
Iteration 46: (EM) log likelihood = -29163.128
Iteration 47: (EM) log likelihood = -29158.927
Iteration 48: (EM) log likelihood = -29153.809
Iteration 49: (EM) log likelihood = -29147.717
Iteration 50: (EM) log likelihood = -29140.6
Iteration 51: (EM) log likelihood = -29132.638
Iteration 52: (EM) log likelihood = -29123.64
Iteration 53: (EM) log likelihood = -29113.877
Iteration 54: (EM) log likelihood = -29103.459
Iteration 55: (EM) log likelihood = -29092.004
Iteration 56: (EM) log likelihood = -29079.838
Iteration 57: (EM) log likelihood = -29067.04
Iteration 58: (EM) log likelihood = -29053.239
Iteration 59: (EM) log likelihood = -29038.52
Iteration 60: (EM) log likelihood = -29022.896
Iteration 61: (EM) log likelihood = -29006.143
Iteration 62: (EM) log likelihood = -28988.579
Iteration 63: (EM) log likelihood = -28969.489
Iteration 64: (EM) log likelihood = -28949.466
Iteration 65: (EM) log likelihood = -28928.229
Iteration 66: (EM) log likelihood = -28906.034
Iteration 67: (EM) log likelihood = -28882.734
Iteration 68: (EM) log likelihood = -28858.559
Iteration 69: (EM) log likelihood = -28834.399
Iteration 70: (EM) log likelihood = -28808.731
Iteration 71: (EM) log likelihood = -28781.58
Iteration 72: (EM) log likelihood = -28751.524
Iteration 73: (EM) log likelihood = -28718.901
Iteration 74: (EM) log likelihood = -28683.824
Iteration 75: (EM) log likelihood = -28647.394
Iteration 76: (EM) log likelihood = -28610.34
Iteration 77: (EM) log likelihood = -28574.372
Iteration 78: (EM) log likelihood = -28541.28
Iteration 79: (EM) log likelihood = -28508.865
Iteration 80: (EM) log likelihood = -28479.259
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.4115
Iteration 1: (class) log likelihood = -6096.4115
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29395.658
Iteration 1: (outcome) log likelihood = -29201.776
Iteration 2: (outcome) log likelihood = -29135.676
Iteration 3: (outcome) log likelihood = -29126.611
Iteration 4: (outcome) log likelihood = -29125.149
Iteration 5: (outcome) log likelihood = -29124.8
Iteration 6: (outcome) log likelihood = -29124.723
Iteration 7: (outcome) log likelihood = -29124.706
Iteration 8: (outcome) log likelihood = -29124.703
Iteration 9: (outcome) log likelihood = -29124.703
Iteration 10: (outcome) log likelihood = -29124.703
Iteration 11: (outcome) log likelihood = -29124.703
Refining starting values:
Iteration 0: (EM) log likelihood = -35196.68
Iteration 1: (EM) log likelihood = -35082.334
Iteration 2: (EM) log likelihood = -34659.08
Iteration 3: (EM) log likelihood = -33654.029
Iteration 4: (EM) log likelihood = -32534.136
Iteration 5: (EM) log likelihood = -31779.594
Iteration 6: (EM) log likelihood = -31259.527
Iteration 7: (EM) log likelihood = -30872.895
Iteration 8: (EM) log likelihood = -30592.24
Iteration 9: (EM) log likelihood = -30398.549
Iteration 10: (EM) log likelihood = -30262.349
Iteration 11: (EM) log likelihood = -30156.432
Iteration 12: (EM) log likelihood = -30063.655
Iteration 13: (EM) log likelihood = -29973.418
Iteration 14: (EM) log likelihood = -29882.947
Iteration 15: (EM) log likelihood = -29798.392
Iteration 16: (EM) log likelihood = -29719.854
Iteration 17: (EM) log likelihood = -29649.88
Iteration 18: (EM) log likelihood = -29590
Iteration 19: (EM) log likelihood = -29538.543
Iteration 20: (EM) log likelihood = -29496.731
Iteration 21: (EM) log likelihood = -29462.163
Iteration 22: (EM) log likelihood = -29434.276
Iteration 23: (EM) log likelihood = -29409.44
Iteration 24: (EM) log likelihood = -29387.071
Iteration 25: (EM) log likelihood = -29366.615
Iteration 26: (EM) log likelihood = -29348.084
Iteration 27: (EM) log likelihood = -29329.417
Iteration 28: (EM) log likelihood = -29311.248
Iteration 29: (EM) log likelihood = -29292.59
Iteration 30: (EM) log likelihood = -29273.856
Iteration 31: (EM) log likelihood = -29255.24
Iteration 32: (EM) log likelihood = -29233.778
Iteration 33: (EM) log likelihood = -29211.562
Iteration 34: (EM) log likelihood = -29188.435
Iteration 35: (EM) log likelihood = -29163.867
Iteration 36: (EM) log likelihood = -29137.894
Iteration 37: (EM) log likelihood = -29109.816
Iteration 38: (EM) log likelihood = -29080.065
Iteration 39: (EM) log likelihood = -29049.278
Iteration 40: (EM) log likelihood = -29017.131
Iteration 41: (EM) log likelihood = -28983.696
Iteration 42: (EM) log likelihood = -28949.212
Iteration 43: (EM) log likelihood = -28914.149
Iteration 44: (EM) log likelihood = -28879.318
Iteration 45: (EM) log likelihood = -28844.169
Iteration 46: (EM) log likelihood = -28807.261
Iteration 47: (EM) log likelihood = -28771.14
Iteration 48: (EM) log likelihood = -28737.76
Iteration 49: (EM) log likelihood = -28703.481
Iteration 50: (EM) log likelihood = -28672.942
Iteration 51: (EM) log likelihood = -28642.478
Iteration 52: (EM) log likelihood = -28613.192
Iteration 53: (EM) log likelihood = -28585.918
Iteration 54: (EM) log likelihood = -28560.387
Iteration 55: (EM) log likelihood = -28540.675
Iteration 56: (EM) log likelihood = -28513.4
Iteration 57: (EM) log likelihood = -28488.718
Iteration 58: (EM) log likelihood = -28476.197
Iteration 59: (EM) log likelihood = -28456.682
Iteration 60: (EM) log likelihood = -28438.971
Iteration 61: (EM) log likelihood = -28423.709
Iteration 62: (EM) log likelihood = -28409.724
Iteration 63: (EM) log likelihood = -28398.692
Iteration 64: (EM) log likelihood = -28386.207
Iteration 65: (EM) log likelihood = -28377.413
Iteration 66: (EM) log likelihood = -28368.739
Iteration 67: (EM) log likelihood = -28360.777
Iteration 68: (EM) log likelihood = -28363.21
Iteration 69: (EM) log likelihood = -28353.103
Iteration 70: (EM) log likelihood = -28344.176
Iteration 71: (EM) log likelihood = -28337.489
Iteration 72: (EM) log likelihood = -28330.846
Iteration 73: (EM) log likelihood = -28325.126
Iteration 74: (EM) log likelihood = -28320.272
Iteration 75: (EM) log likelihood = -28315.358
Iteration 76: (EM) log likelihood = -28310.622
Iteration 77: (EM) log likelihood = -28306.412
Iteration 78: (EM) log likelihood = -28302.857
Iteration 79: (EM) log likelihood = -28300.409
Iteration 80: (EM) log likelihood = -28296.681
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.1216
Iteration 1: (class) log likelihood = -6097.1216
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29388.005
Iteration 1: (outcome) log likelihood = -29138.069
Iteration 2: (outcome) log likelihood = -29117.681
Iteration 3: (outcome) log likelihood = -29111.723
Iteration 4: (outcome) log likelihood = -29110.479
Iteration 5: (outcome) log likelihood = -29110.21
Iteration 6: (outcome) log likelihood = -29110.159
Iteration 7: (outcome) log likelihood = -29110.148
Iteration 8: (outcome) log likelihood = -29110.145
Iteration 9: (outcome) log likelihood = -29110.144
Iteration 10: (outcome) log likelihood = -29110.144
Iteration 11: (outcome) log likelihood = -29110.144
Refining starting values:
Iteration 0: (EM) log likelihood = -35169.478
Iteration 1: (EM) log likelihood = -35040.304
Iteration 2: (EM) log likelihood = -34679.637
Iteration 3: (EM) log likelihood = -33970.973
Iteration 4: (EM) log likelihood = -33080.076
Iteration 5: (EM) log likelihood = -32226.283
Iteration 6: (EM) log likelihood = -31478.444
Iteration 7: (EM) log likelihood = -30919.866
Iteration 8: (EM) log likelihood = -30560.494
Iteration 9: (EM) log likelihood = -30315.961
Iteration 10: (EM) log likelihood = -30133.92
Iteration 11: (EM) log likelihood = -29990.413
Iteration 12: (EM) log likelihood = -29869.662
Iteration 13: (EM) log likelihood = -29761.046
Iteration 14: (EM) log likelihood = -29663.007
Iteration 15: (EM) log likelihood = -29574.972
Iteration 16: (EM) log likelihood = -29495.892
Iteration 17: (EM) log likelihood = -29425.824
Iteration 18: (EM) log likelihood = -29362.233
Iteration 19: (EM) log likelihood = -29302.758
Iteration 20: (EM) log likelihood = -29248.113
Iteration 21: (EM) log likelihood = -29198.09
Iteration 22: (EM) log likelihood = -29152.324
Iteration 23: (EM) log likelihood = -29110.226
Iteration 24: (EM) log likelihood = -29072.765
Iteration 25: (EM) log likelihood = -29039.246
Iteration 26: (EM) log likelihood = -29009.827
Iteration 27: (EM) log likelihood = -28983.734
Iteration 28: (EM) log likelihood = -28961.593
Iteration 29: (EM) log likelihood = -28942.671
Iteration 30: (EM) log likelihood = -28926.13
Iteration 31: (EM) log likelihood = -28912.099
Iteration 32: (EM) log likelihood = -28899.709
Iteration 33: (EM) log likelihood = -28889.448
Iteration 34: (EM) log likelihood = -28880.36
Iteration 35: (EM) log likelihood = -28872.625
Iteration 36: (EM) log likelihood = -28865.782
Iteration 37: (EM) log likelihood = -28859.844
Iteration 38: (EM) log likelihood = -28854.57
Iteration 39: (EM) log likelihood = -28849.783
Iteration 40: (EM) log likelihood = -28845.292
Iteration 41: (EM) log likelihood = -28840.342
Iteration 42: (EM) log likelihood = -28836.13
Iteration 43: (EM) log likelihood = -28831.584
Iteration 44: (EM) log likelihood = -28827.133
Iteration 45: (EM) log likelihood = -28822.716
Iteration 46: (EM) log likelihood = -28817.123
Iteration 47: (EM) log likelihood = -28810.117
Iteration 48: (EM) log likelihood = -28803.75
Iteration 49: (EM) log likelihood = -28797.33
Iteration 50: (EM) log likelihood = -28790.613
Iteration 51: (EM) log likelihood = -28784.46
Iteration 52: (EM) log likelihood = -28778.636
Iteration 53: (EM) log likelihood = -28773.678
Iteration 54: (EM) log likelihood = -28769.684
Iteration 55: (EM) log likelihood = -28766.093
Iteration 56: (EM) log likelihood = -28763.384
Iteration 57: (EM) log likelihood = -28761.101
Iteration 58: (EM) log likelihood = -28758.759
Iteration 59: (EM) log likelihood = -28757.313
Iteration 60: (EM) log likelihood = -28755.288
Iteration 61: (EM) log likelihood = -28754.151
Iteration 62: (EM) log likelihood = -28752.832
Iteration 63: (EM) log likelihood = -28751.814
Iteration 64: (EM) log likelihood = -28751.166
Iteration 65: (EM) log likelihood = -28751.034
Iteration 66: (EM) log likelihood = -28750.191
Iteration 67: (EM) log likelihood = -28749.688
Iteration 68: (EM) log likelihood = -28748.967
Iteration 69: (EM) log likelihood = -28748.445
Iteration 70: (EM) log likelihood = -28747.924
Iteration 71: (EM) log likelihood = -28747.682
Iteration 72: (EM) log likelihood = -28746.926
Iteration 73: (EM) log likelihood = -28746.193
Iteration 74: (EM) log likelihood = -28745.43
Iteration 75: (EM) log likelihood = -28744.406
Iteration 76: (EM) log likelihood = -28743.293
Iteration 77: (EM) log likelihood = -28741.509
Iteration 78: (EM) log likelihood = -28739.866
Iteration 79: (EM) log likelihood = -28738.039
Iteration 80: (EM) log likelihood = -28735.703
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.2032
Iteration 1: (class) log likelihood = -6096.2032
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29123.758
Iteration 1: (outcome) log likelihood = -29123.758
Refining starting values:
Iteration 0: (EM) log likelihood = -35195.145
Iteration 1: (EM) log likelihood = -35125.113
Iteration 2: (EM) log likelihood = -34927.382
Iteration 3: (EM) log likelihood = -34403.033
Iteration 4: (EM) log likelihood = -33466.189
Iteration 5: (EM) log likelihood = -32493.067
Iteration 6: (EM) log likelihood = -31691.254
Iteration 7: (EM) log likelihood = -31029.447
Iteration 8: (EM) log likelihood = -30521.941
Iteration 9: (EM) log likelihood = -30170.249
Iteration 10: (EM) log likelihood = -29950.002
Iteration 11: (EM) log likelihood = -29809.915
Iteration 12: (EM) log likelihood = -29712.049
Iteration 13: (EM) log likelihood = -29639.341
Iteration 14: (EM) log likelihood = -29583.924
Iteration 15: (EM) log likelihood = -29539.594
Iteration 16: (EM) log likelihood = -29503.744
Iteration 17: (EM) log likelihood = -29473.44
Iteration 18: (EM) log likelihood = -29446.67
Iteration 19: (EM) log likelihood = -29420.522
Iteration 20: (EM) log likelihood = -29394.693
Iteration 21: (EM) log likelihood = -29368.284
Iteration 22: (EM) log likelihood = -29338.361
Iteration 23: (EM) log likelihood = -29304.473
Iteration 24: (EM) log likelihood = -29267.275
Iteration 25: (EM) log likelihood = -29229.805
Iteration 26: (EM) log likelihood = -29195.018
Iteration 27: (EM) log likelihood = -29163.851
Iteration 28: (EM) log likelihood = -29134.019
Iteration 29: (EM) log likelihood = -29106.421
Iteration 30: (EM) log likelihood = -29081.003
Iteration 31: (EM) log likelihood = -29056.54
Iteration 32: (EM) log likelihood = -29032.614
Iteration 33: (EM) log likelihood = -29009.51
Iteration 34: (EM) log likelihood = -28988.181
Iteration 35: (EM) log likelihood = -28968.747
Iteration 36: (EM) log likelihood = -28951.82
Iteration 37: (EM) log likelihood = -28937.888
Iteration 38: (EM) log likelihood = -28924.487
Iteration 39: (EM) log likelihood = -28912.532
Iteration 40: (EM) log likelihood = -28901.829
Iteration 41: (EM) log likelihood = -28892.231
Iteration 42: (EM) log likelihood = -28883.3
Iteration 43: (EM) log likelihood = -28876.669
Iteration 44: (EM) log likelihood = -28869.044
Iteration 45: (EM) log likelihood = -28862.564
Iteration 46: (EM) log likelihood = -28857.12
Iteration 47: (EM) log likelihood = -28851.606
Iteration 48: (EM) log likelihood = -28847.444
Iteration 49: (EM) log likelihood = -28843.97
Iteration 50: (EM) log likelihood = -28838.568
Iteration 51: (EM) log likelihood = -28834.362
Iteration 52: (EM) log likelihood = -28829.408
Iteration 53: (EM) log likelihood = -28824.639
Iteration 54: (EM) log likelihood = -28820.61
Iteration 55: (EM) log likelihood = -28815.957
Iteration 56: (EM) log likelihood = -28810.893
Iteration 57: (EM) log likelihood = -28806.294
Iteration 58: (EM) log likelihood = -28801.972
Iteration 59: (EM) log likelihood = -28796.231
Iteration 60: (EM) log likelihood = -28792.169
Iteration 61: (EM) log likelihood = -28788.625
Iteration 62: (EM) log likelihood = -28783.658
Iteration 63: (EM) log likelihood = -28778.808
Iteration 64: (EM) log likelihood = -28775.347
Iteration 65: (EM) log likelihood = -28771.359
Iteration 66: (EM) log likelihood = -28766.089
Iteration 67: (EM) log likelihood = -28762.048
Iteration 68: (EM) log likelihood = -28757.383
Iteration 69: (EM) log likelihood = -28752.715
Iteration 70: (EM) log likelihood = -28748.472
Iteration 71: (EM) log likelihood = -28743.572
Iteration 72: (EM) log likelihood = -28739.295
Iteration 73: (EM) log likelihood = -28735.205
Iteration 74: (EM) log likelihood = -28730.915
Iteration 75: (EM) log likelihood = -28725.875
Iteration 76: (EM) log likelihood = -28720.785
Iteration 77: (EM) log likelihood = -28717.329
Iteration 78: (EM) log likelihood = -28713.181
Iteration 79: (EM) log likelihood = -28708.546
Iteration 80: (EM) log likelihood = -28704.265
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6094.1641
Iteration 1: (class) log likelihood = -6094.1641
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29357.959
Iteration 1: (outcome) log likelihood = -29192.628
Iteration 2: (outcome) log likelihood = -29140.714
Iteration 3: (outcome) log likelihood = -29131.934
Iteration 4: (outcome) log likelihood = -29130.118
Iteration 5: (outcome) log likelihood = -29129.74
Iteration 6: (outcome) log likelihood = -29129.655
Iteration 7: (outcome) log likelihood = -29129.633
Iteration 8: (outcome) log likelihood = -29129.629
Iteration 9: (outcome) log likelihood = -29129.628
Iteration 10: (outcome) log likelihood = -29129.628
Iteration 11: (outcome) log likelihood = -29129.628
Iteration 12: (outcome) log likelihood = -29129.628
Refining starting values:
Iteration 0: (EM) log likelihood = -35205.62
Iteration 1: (EM) log likelihood = -35137.795
Iteration 2: (EM) log likelihood = -34923.506
Iteration 3: (EM) log likelihood = -34392.995
Iteration 4: (EM) log likelihood = -33500.72
Iteration 5: (EM) log likelihood = -32499.49
Iteration 6: (EM) log likelihood = -31646.635
Iteration 7: (EM) log likelihood = -30993.554
Iteration 8: (EM) log likelihood = -30530.191
Iteration 9: (EM) log likelihood = -30220.406
Iteration 10: (EM) log likelihood = -30004.23
Iteration 11: (EM) log likelihood = -29847.747
Iteration 12: (EM) log likelihood = -29735.764
Iteration 13: (EM) log likelihood = -29657.26
Iteration 14: (EM) log likelihood = -29604.054
Iteration 15: (EM) log likelihood = -29568.081
Iteration 16: (EM) log likelihood = -29543.988
Iteration 17: (EM) log likelihood = -29526.334
Iteration 18: (EM) log likelihood = -29512.428
Iteration 19: (EM) log likelihood = -29499.226
Iteration 20: (EM) log likelihood = -29486.037
Iteration 21: (EM) log likelihood = -29472.394
Iteration 22: (EM) log likelihood = -29456.782
Iteration 23: (EM) log likelihood = -29439.616
Iteration 24: (EM) log likelihood = -29420.979
Iteration 25: (EM) log likelihood = -29399.363
Iteration 26: (EM) log likelihood = -29374.909
Iteration 27: (EM) log likelihood = -29347.321
Iteration 28: (EM) log likelihood = -29316.451
Iteration 29: (EM) log likelihood = -29284.105
Iteration 30: (EM) log likelihood = -29249.702
Iteration 31: (EM) log likelihood = -29216.199
Iteration 32: (EM) log likelihood = -29183.62
Iteration 33: (EM) log likelihood = -29148.911
Iteration 34: (EM) log likelihood = -29115.977
Iteration 35: (EM) log likelihood = -29082.773
Iteration 36: (EM) log likelihood = -29052.408
Iteration 37: (EM) log likelihood = -29024.154
Iteration 38: (EM) log likelihood = -28995.929
Iteration 39: (EM) log likelihood = -28969.255
Iteration 40: (EM) log likelihood = -28943.847
Iteration 41: (EM) log likelihood = -28920.722
Iteration 42: (EM) log likelihood = -28898.698
Iteration 43: (EM) log likelihood = -28877.556
Iteration 44: (EM) log likelihood = -28858.346
Iteration 45: (EM) log likelihood = -28840.563
Iteration 46: (EM) log likelihood = -28823.96
Iteration 47: (EM) log likelihood = -28809.175
Iteration 48: (EM) log likelihood = -28794.981
Iteration 49: (EM) log likelihood = -28781.448
Iteration 50: (EM) log likelihood = -28768.594
Iteration 51: (EM) log likelihood = -28756.653
Iteration 52: (EM) log likelihood = -28745.361
Iteration 53: (EM) log likelihood = -28733.676
Iteration 54: (EM) log likelihood = -28722.701
Iteration 55: (EM) log likelihood = -28711.203
Iteration 56: (EM) log likelihood = -28699.976
Iteration 57: (EM) log likelihood = -28689.153
Iteration 58: (EM) log likelihood = -28677.969
Iteration 59: (EM) log likelihood = -28667.86
Iteration 60: (EM) log likelihood = -28658.422
Iteration 61: (EM) log likelihood = -28649.293
Iteration 62: (EM) log likelihood = -28639.743
Iteration 63: (EM) log likelihood = -28630.9
Iteration 64: (EM) log likelihood = -28621.792
Iteration 65: (EM) log likelihood = -28614.152
Iteration 66: (EM) log likelihood = -28606.885
Iteration 67: (EM) log likelihood = -28600.128
Iteration 68: (EM) log likelihood = -28592.82
Iteration 69: (EM) log likelihood = -28586.91
Iteration 70: (EM) log likelihood = -28580.398
Iteration 71: (EM) log likelihood = -28573.985
Iteration 72: (EM) log likelihood = -28568.47
Iteration 73: (EM) log likelihood = -28563.967
Iteration 74: (EM) log likelihood = -28560.796
Iteration 75: (EM) log likelihood = -28556.074
Iteration 76: (EM) log likelihood = -28551.585
Iteration 77: (EM) log likelihood = -28546.984
Iteration 78: (EM) log likelihood = -28541.029
Iteration 79: (EM) log likelihood = -28537.083
Iteration 80: (EM) log likelihood = -28533.039
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6094.9033
Iteration 1: (class) log likelihood = -6094.9033
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29126.509
Iteration 1: (outcome) log likelihood = -29126.509
Refining starting values:
Iteration 0: (EM) log likelihood = -35201.802
Iteration 1: (EM) log likelihood = -35127.879
Iteration 2: (EM) log likelihood = -34894.986
Iteration 3: (EM) log likelihood = -34319.087
Iteration 4: (EM) log likelihood = -33373.312
Iteration 5: (EM) log likelihood = -32325.419
Iteration 6: (EM) log likelihood = -31418.603
Iteration 7: (EM) log likelihood = -30758.675
Iteration 8: (EM) log likelihood = -30349.639
Iteration 9: (EM) log likelihood = -30104.967
Iteration 10: (EM) log likelihood = -29940.691
Iteration 11: (EM) log likelihood = -29813.236
Iteration 12: (EM) log likelihood = -29699.879
Iteration 13: (EM) log likelihood = -29591.316
Iteration 14: (EM) log likelihood = -29495.149
Iteration 15: (EM) log likelihood = -29422.953
Iteration 16: (EM) log likelihood = -29368.729
Iteration 17: (EM) log likelihood = -29326.197
Iteration 18: (EM) log likelihood = -29288.771
Iteration 19: (EM) log likelihood = -29254.641
Iteration 20: (EM) log likelihood = -29223.39
Iteration 21: (EM) log likelihood = -29191.606
Iteration 22: (EM) log likelihood = -29161.681
Iteration 23: (EM) log likelihood = -29135.159
Iteration 24: (EM) log likelihood = -29110.412
Iteration 25: (EM) log likelihood = -29087.101
Iteration 26: (EM) log likelihood = -29066.441
Iteration 27: (EM) log likelihood = -29048.608
Iteration 28: (EM) log likelihood = -29031.77
Iteration 29: (EM) log likelihood = -29018.021
Iteration 30: (EM) log likelihood = -29006.916
Iteration 31: (EM) log likelihood = -28997.055
Iteration 32: (EM) log likelihood = -28988.526
Iteration 33: (EM) log likelihood = -28980.193
Iteration 34: (EM) log likelihood = -28972.606
Iteration 35: (EM) log likelihood = -28965.697
Iteration 36: (EM) log likelihood = -28960.029
Iteration 37: (EM) log likelihood = -28954.438
Iteration 38: (EM) log likelihood = -28948.696
Iteration 39: (EM) log likelihood = -28944.073
Iteration 40: (EM) log likelihood = -28939.82
Iteration 41: (EM) log likelihood = -28935.326
Iteration 42: (EM) log likelihood = -28929.827
Iteration 43: (EM) log likelihood = -28925.061
Iteration 44: (EM) log likelihood = -28920.051
Iteration 45: (EM) log likelihood = -28915.176
Iteration 46: (EM) log likelihood = -28910.31
Iteration 47: (EM) log likelihood = -28904.947
Iteration 48: (EM) log likelihood = -28899.247
Iteration 49: (EM) log likelihood = -28894.143
Iteration 50: (EM) log likelihood = -28888.484
Iteration 51: (EM) log likelihood = -28881.758
Iteration 52: (EM) log likelihood = -28875.802
Iteration 53: (EM) log likelihood = -28869.314
Iteration 54: (EM) log likelihood = -28863.188
Iteration 55: (EM) log likelihood = -28856.017
Iteration 56: (EM) log likelihood = -28849.022
Iteration 57: (EM) log likelihood = -28840.177
Iteration 58: (EM) log likelihood = -28832.647
Iteration 59: (EM) log likelihood = -28826.296
Iteration 60: (EM) log likelihood = -28817.88
Iteration 61: (EM) log likelihood = -28810.438
Iteration 62: (EM) log likelihood = -28803.101
Iteration 63: (EM) log likelihood = -28796.415
Iteration 64: (EM) log likelihood = -28788.737
Iteration 65: (EM) log likelihood = -28781.63
Iteration 66: (EM) log likelihood = -28774.416
Iteration 67: (EM) log likelihood = -28767.96
Iteration 68: (EM) log likelihood = -28761.69
Iteration 69: (EM) log likelihood = -28755.163
Iteration 70: (EM) log likelihood = -28749.332
Iteration 71: (EM) log likelihood = -28743.772
Iteration 72: (EM) log likelihood = -28737.266
Iteration 73: (EM) log likelihood = -28732.72
Iteration 74: (EM) log likelihood = -28727.283
Iteration 75: (EM) log likelihood = -28722.25
Iteration 76: (EM) log likelihood = -28717.493
Iteration 77: (EM) log likelihood = -28713.128
Iteration 78: (EM) log likelihood = -28709.846
Iteration 79: (EM) log likelihood = -28705.971
Iteration 80: (EM) log likelihood = -28702.379
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.4152
Iteration 1: (class) log likelihood = -6097.4152
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29650.893
Iteration 1: (outcome) log likelihood = -29228.477
Iteration 2: (outcome) log likelihood = -29135.651
Iteration 3: (outcome) log likelihood = -29117.525
Iteration 4: (outcome) log likelihood = -29113.583
Iteration 5: (outcome) log likelihood = -29112.705
Iteration 6: (outcome) log likelihood = -29112.563
Iteration 7: (outcome) log likelihood = -29112.547
Iteration 8: (outcome) log likelihood = -29112.543
Iteration 9: (outcome) log likelihood = -29112.543
Iteration 10: (outcome) log likelihood = -29112.542
Iteration 11: (outcome) log likelihood = -29112.542
Refining starting values:
Iteration 0: (EM) log likelihood = -35155.658
Iteration 1: (EM) log likelihood = -34972.947
Iteration 2: (EM) log likelihood = -34522.853
Iteration 3: (EM) log likelihood = -33708.24
Iteration 4: (EM) log likelihood = -32630.486
Iteration 5: (EM) log likelihood = -31653.179
Iteration 6: (EM) log likelihood = -30991.915
Iteration 7: (EM) log likelihood = -30584.358
Iteration 8: (EM) log likelihood = -30284.318
Iteration 9: (EM) log likelihood = -29998.866
Iteration 10: (EM) log likelihood = -29739.276
Iteration 11: (EM) log likelihood = -29539.108
Iteration 12: (EM) log likelihood = -29403.545
Iteration 13: (EM) log likelihood = -29315.16
Iteration 14: (EM) log likelihood = -29258.665
Iteration 15: (EM) log likelihood = -29218.46
Iteration 16: (EM) log likelihood = -29187.638
Iteration 17: (EM) log likelihood = -29163.234
Iteration 18: (EM) log likelihood = -29140.426
Iteration 19: (EM) log likelihood = -29119.437
Iteration 20: (EM) log likelihood = -29098.552
Iteration 21: (EM) log likelihood = -29077.994
Iteration 22: (EM) log likelihood = -29055.346
Iteration 23: (EM) log likelihood = -29032.869
Iteration 24: (EM) log likelihood = -29010.97
Iteration 25: (EM) log likelihood = -28990.411
Iteration 26: (EM) log likelihood = -28970.547
Iteration 27: (EM) log likelihood = -28953.207
Iteration 28: (EM) log likelihood = -28928.493
Iteration 29: (EM) log likelihood = -28912.843
Iteration 30: (EM) log likelihood = -28895.577
Iteration 31: (EM) log likelihood = -28879.657
Iteration 32: (EM) log likelihood = -28863.64
Iteration 33: (EM) log likelihood = -28850.603
Iteration 34: (EM) log likelihood = -28835.792
Iteration 35: (EM) log likelihood = -28820.674
Iteration 36: (EM) log likelihood = -28804.762
Iteration 37: (EM) log likelihood = -28791.015
Iteration 38: (EM) log likelihood = -28780.232
Iteration 39: (EM) log likelihood = -28765.799
Iteration 40: (EM) log likelihood = -28753.997
Iteration 41: (EM) log likelihood = -28740.959
Iteration 42: (EM) log likelihood = -28728.234
Iteration 43: (EM) log likelihood = -28716.009
Iteration 44: (EM) log likelihood = -28704.355
Iteration 45: (EM) log likelihood = -28693.072
Iteration 46: (EM) log likelihood = -28683.224
Iteration 47: (EM) log likelihood = -28672.093
Iteration 48: (EM) log likelihood = -28662.775
Iteration 49: (EM) log likelihood = -28652.851
Iteration 50: (EM) log likelihood = -28643.904
Iteration 51: (EM) log likelihood = -28633.455
Iteration 52: (EM) log likelihood = -28623.554
Iteration 53: (EM) log likelihood = -28615.613
Iteration 54: (EM) log likelihood = -28607.634
Iteration 55: (EM) log likelihood = -28599.558
Iteration 56: (EM) log likelihood = -28591.771
Iteration 57: (EM) log likelihood = -28583.446
Iteration 58: (EM) log likelihood = -28576.372
Iteration 59: (EM) log likelihood = -28569.465
Iteration 60: (EM) log likelihood = -28562.592
Iteration 61: (EM) log likelihood = -28556.123
Iteration 62: (EM) log likelihood = -28549.776
Iteration 63: (EM) log likelihood = -28542.95
Iteration 64: (EM) log likelihood = -28537.172
Iteration 65: (EM) log likelihood = -28532.457
Iteration 66: (EM) log likelihood = -28527.098
Iteration 67: (EM) log likelihood = -28521.816
Iteration 68: (EM) log likelihood = -28515.782
Iteration 69: (EM) log likelihood = -28509.861
Iteration 70: (EM) log likelihood = -28504.343
Iteration 71: (EM) log likelihood = -28499.99
Iteration 72: (EM) log likelihood = -28494.731
Iteration 73: (EM) log likelihood = -28489.998
Iteration 74: (EM) log likelihood = -28485.774
Iteration 75: (EM) log likelihood = -28480.438
Iteration 76: (EM) log likelihood = -28476.062
Iteration 77: (EM) log likelihood = -28471.931
Iteration 78: (EM) log likelihood = -28468.252
Iteration 79: (EM) log likelihood = -28464.568
Iteration 80: (EM) log likelihood = -28460.749
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.2188
Iteration 1: (class) log likelihood = -6096.2188
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29367.391
Iteration 1: (outcome) log likelihood = -29193.825
Iteration 2: (outcome) log likelihood = -29139.965
Iteration 3: (outcome) log likelihood = -29131.611
Iteration 4: (outcome) log likelihood = -29129.642
Iteration 5: (outcome) log likelihood = -29129.242
Iteration 6: (outcome) log likelihood = -29129.171
Iteration 7: (outcome) log likelihood = -29129.163
Iteration 8: (outcome) log likelihood = -29129.162
Iteration 9: (outcome) log likelihood = -29129.162
Iteration 10: (outcome) log likelihood = -29129.162
Iteration 11: (outcome) log likelihood = -29129.162
Refining starting values:
Iteration 0: (EM) log likelihood = -35217.134
Iteration 1: (EM) log likelihood = -35177.674
Iteration 2: (EM) log likelihood = -35031.944
Iteration 3: (EM) log likelihood = -34568.665
Iteration 4: (EM) log likelihood = -33629.663
Iteration 5: (EM) log likelihood = -32601.292
Iteration 6: (EM) log likelihood = -31856.055
Iteration 7: (EM) log likelihood = -31380.367
Iteration 8: (EM) log likelihood = -31078.215
Iteration 9: (EM) log likelihood = -30861.109
Iteration 10: (EM) log likelihood = -30683.968
Iteration 11: (EM) log likelihood = -30532.822
Iteration 12: (EM) log likelihood = -30403.068
Iteration 13: (EM) log likelihood = -30286.025
Iteration 14: (EM) log likelihood = -30181.325
Iteration 15: (EM) log likelihood = -30080.924
Iteration 16: (EM) log likelihood = -29985.569
Iteration 17: (EM) log likelihood = -29892.375
Iteration 18: (EM) log likelihood = -29804.406
Iteration 19: (EM) log likelihood = -29722.709
Iteration 20: (EM) log likelihood = -29648.459
Iteration 21: (EM) log likelihood = -29583.728
Iteration 22: (EM) log likelihood = -29528.504
Iteration 23: (EM) log likelihood = -29482.052
Iteration 24: (EM) log likelihood = -29443.333
Iteration 25: (EM) log likelihood = -29409.311
Iteration 26: (EM) log likelihood = -29378.569
Iteration 27: (EM) log likelihood = -29350.221
Iteration 28: (EM) log likelihood = -29323.208
Iteration 29: (EM) log likelihood = -29296.861
Iteration 30: (EM) log likelihood = -29271.174
Iteration 31: (EM) log likelihood = -29245.964
Iteration 32: (EM) log likelihood = -29220.758
Iteration 33: (EM) log likelihood = -29196.132
Iteration 34: (EM) log likelihood = -29171.782
Iteration 35: (EM) log likelihood = -29147.752
Iteration 36: (EM) log likelihood = -29124.292
Iteration 37: (EM) log likelihood = -29100.859
Iteration 38: (EM) log likelihood = -29078.672
Iteration 39: (EM) log likelihood = -29055.358
Iteration 40: (EM) log likelihood = -29032.839
Iteration 41: (EM) log likelihood = -29010.801
Iteration 42: (EM) log likelihood = -28989.115
Iteration 43: (EM) log likelihood = -28968.405
Iteration 44: (EM) log likelihood = -28948.703
Iteration 45: (EM) log likelihood = -28930.137
Iteration 46: (EM) log likelihood = -28913.144
Iteration 47: (EM) log likelihood = -28897.925
Iteration 48: (EM) log likelihood = -28884.426
Iteration 49: (EM) log likelihood = -28873.132
Iteration 50: (EM) log likelihood = -28863.984
Iteration 51: (EM) log likelihood = -28856.678
Iteration 52: (EM) log likelihood = -28850.744
Iteration 53: (EM) log likelihood = -28846.441
Iteration 54: (EM) log likelihood = -28843.192
Iteration 55: (EM) log likelihood = -28841.147
Iteration 56: (EM) log likelihood = -28840.267
Iteration 57: (EM) log likelihood = -28839.537
Iteration 58: (EM) log likelihood = -28839.237
Iteration 59: (EM) log likelihood = -28839.674
Iteration 60: (EM) log likelihood = -28840.757
Iteration 61: (EM) log likelihood = -28842.225
Iteration 62: (EM) log likelihood = -28844.25
Iteration 63: (EM) log likelihood = -28846.2
Iteration 64: (EM) log likelihood = -28848.783
Iteration 65: (EM) log likelihood = -28851.012
Iteration 66: (EM) log likelihood = -28854.43
Iteration 67: (EM) log likelihood = -28857.722
Iteration 68: (EM) log likelihood = -28860.396
Iteration 69: (EM) log likelihood = -28862.854
Iteration 70: (EM) log likelihood = -28865.922
Iteration 71: (EM) log likelihood = -28869.23
Iteration 72: (EM) log likelihood = -28872.547
Iteration 73: (EM) log likelihood = -28875.98
Iteration 74: (EM) log likelihood = -28879.452
Iteration 75: (EM) log likelihood = -28882.888
Iteration 76: (EM) log likelihood = -28886.351
Iteration 77: (EM) log likelihood = -28889.762
Iteration 78: (EM) log likelihood = -28892.813
Iteration 79: (EM) log likelihood = -28895.968
Iteration 80: (EM) log likelihood = -28899.007
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.214
Iteration 1: (class) log likelihood = -6096.214
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29822.561
Iteration 1: (outcome) log likelihood = -29244.737
Iteration 2: (outcome) log likelihood = -29146.785
Iteration 3: (outcome) log likelihood = -29125.061
Iteration 4: (outcome) log likelihood = -29120.557
Iteration 5: (outcome) log likelihood = -29119.543
Iteration 6: (outcome) log likelihood = -29119.377
Iteration 7: (outcome) log likelihood = -29119.337
Iteration 8: (outcome) log likelihood = -29119.328
Iteration 9: (outcome) log likelihood = -29119.326
Iteration 10: (outcome) log likelihood = -29119.326
Iteration 11: (outcome) log likelihood = -29119.326
Iteration 12: (outcome) log likelihood = -29119.326
Refining starting values:
Iteration 0: (EM) log likelihood = -35187.223
Iteration 1: (EM) log likelihood = -35067.186
Iteration 2: (EM) log likelihood = -34671.385
Iteration 3: (EM) log likelihood = -33820.826
Iteration 4: (EM) log likelihood = -32823.581
Iteration 5: (EM) log likelihood = -32095.639
Iteration 6: (EM) log likelihood = -31628.37
Iteration 7: (EM) log likelihood = -31317.669
Iteration 8: (EM) log likelihood = -31068.678
Iteration 9: (EM) log likelihood = -30835.244
Iteration 10: (EM) log likelihood = -30601.529
Iteration 11: (EM) log likelihood = -30377.242
Iteration 12: (EM) log likelihood = -30175.535
Iteration 13: (EM) log likelihood = -30002.143
Iteration 14: (EM) log likelihood = -29858.589
Iteration 15: (EM) log likelihood = -29740.547
Iteration 16: (EM) log likelihood = -29638.264
Iteration 17: (EM) log likelihood = -29553.886
Iteration 18: (EM) log likelihood = -29482.984
Iteration 19: (EM) log likelihood = -29420.97
Iteration 20: (EM) log likelihood = -29367.157
Iteration 21: (EM) log likelihood = -29318.356
Iteration 22: (EM) log likelihood = -29276.423
Iteration 23: (EM) log likelihood = -29238.921
Iteration 24: (EM) log likelihood = -29204.899
Iteration 25: (EM) log likelihood = -29173.809
Iteration 26: (EM) log likelihood = -29144.17
Iteration 27: (EM) log likelihood = -29118.313
Iteration 28: (EM) log likelihood = -29094.363
Iteration 29: (EM) log likelihood = -29071.687
Iteration 30: (EM) log likelihood = -29050.766
Iteration 31: (EM) log likelihood = -29031.058
Iteration 32: (EM) log likelihood = -29012.553
Iteration 33: (EM) log likelihood = -28995.659
Iteration 34: (EM) log likelihood = -28979.172
Iteration 35: (EM) log likelihood = -28963.141
Iteration 36: (EM) log likelihood = -28948.726
Iteration 37: (EM) log likelihood = -28935.075
Iteration 38: (EM) log likelihood = -28921.919
Iteration 39: (EM) log likelihood = -28909.697
Iteration 40: (EM) log likelihood = -28898.286
Iteration 41: (EM) log likelihood = -28887.426
Iteration 42: (EM) log likelihood = -28877.246
Iteration 43: (EM) log likelihood = -28867.18
Iteration 44: (EM) log likelihood = -28858.145
Iteration 45: (EM) log likelihood = -28849.885
Iteration 46: (EM) log likelihood = -28841.912
Iteration 47: (EM) log likelihood = -28834.886
Iteration 48: (EM) log likelihood = -28827.708
Iteration 49: (EM) log likelihood = -28821.766
Iteration 50: (EM) log likelihood = -28816.194
Iteration 51: (EM) log likelihood = -28811.115
Iteration 52: (EM) log likelihood = -28806.808
Iteration 53: (EM) log likelihood = -28802.036
Iteration 54: (EM) log likelihood = -28798.25
Iteration 55: (EM) log likelihood = -28794.651
Iteration 56: (EM) log likelihood = -28791.5
Iteration 57: (EM) log likelihood = -28788.401
Iteration 58: (EM) log likelihood = -28785.6
Iteration 59: (EM) log likelihood = -28783.055
Iteration 60: (EM) log likelihood = -28780.656
Iteration 61: (EM) log likelihood = -28777.953
Iteration 62: (EM) log likelihood = -28774.39
Iteration 63: (EM) log likelihood = -28771.741
Iteration 64: (EM) log likelihood = -28770.224
Iteration 65: (EM) log likelihood = -28768.075
Iteration 66: (EM) log likelihood = -28769.662
Iteration 67: (EM) log likelihood = -28766.801
Iteration 68: (EM) log likelihood = -28763.849
Iteration 69: (EM) log likelihood = -28761.566
Iteration 70: (EM) log likelihood = -28760.028
Iteration 71: (EM) log likelihood = -28759.985
Iteration 72: (EM) log likelihood = -28757.502
Iteration 73: (EM) log likelihood = -28755.061
Iteration 74: (EM) log likelihood = -28751.993
Iteration 75: (EM) log likelihood = -28748.632
Iteration 76: (EM) log likelihood = -28747.925
Iteration 77: (EM) log likelihood = -28746.228
Iteration 78: (EM) log likelihood = -28744.709
Iteration 79: (EM) log likelihood = -28743.261
Iteration 80: (EM) log likelihood = -28741.893
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6095.2605
Iteration 1: (class) log likelihood = -6095.2605
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29357.998
Iteration 1: (outcome) log likelihood = -29192.191
Iteration 2: (outcome) log likelihood = -29139.846
Iteration 3: (outcome) log likelihood = -29131.623
Iteration 4: (outcome) log likelihood = -29129.729
Iteration 5: (outcome) log likelihood = -29129.333
Iteration 6: (outcome) log likelihood = -29129.266
Iteration 7: (outcome) log likelihood = -29129.259
Iteration 8: (outcome) log likelihood = -29129.257
Iteration 9: (outcome) log likelihood = -29129.257
Iteration 10: (outcome) log likelihood = -29129.257
Iteration 11: (outcome) log likelihood = -29129.257
Refining starting values:
Iteration 0: (EM) log likelihood = -35213.591
Iteration 1: (EM) log likelihood = -35177.208
Iteration 2: (EM) log likelihood = -35071.495
Iteration 3: (EM) log likelihood = -34762.387
Iteration 4: (EM) log likelihood = -34019.906
Iteration 5: (EM) log likelihood = -32939.977
Iteration 6: (EM) log likelihood = -31958.638
Iteration 7: (EM) log likelihood = -31195.301
Iteration 8: (EM) log likelihood = -30689.133
Iteration 9: (EM) log likelihood = -30378.192
Iteration 10: (EM) log likelihood = -30182.423
Iteration 11: (EM) log likelihood = -30052.225
Iteration 12: (EM) log likelihood = -29960.108
Iteration 13: (EM) log likelihood = -29890.813
Iteration 14: (EM) log likelihood = -29835.853
Iteration 15: (EM) log likelihood = -29789.311
Iteration 16: (EM) log likelihood = -29747.899
Iteration 17: (EM) log likelihood = -29709.885
Iteration 18: (EM) log likelihood = -29673.254
Iteration 19: (EM) log likelihood = -29638.579
Iteration 20: (EM) log likelihood = -29606.329
Iteration 21: (EM) log likelihood = -29575.754
Iteration 22: (EM) log likelihood = -29547.18
Iteration 23: (EM) log likelihood = -29521.7
Iteration 24: (EM) log likelihood = -29499.624
Iteration 25: (EM) log likelihood = -29480.784
Iteration 26: (EM) log likelihood = -29464.538
Iteration 27: (EM) log likelihood = -29450.581
Iteration 28: (EM) log likelihood = -29438.323
Iteration 29: (EM) log likelihood = -29427.303
Iteration 30: (EM) log likelihood = -29416.79
Iteration 31: (EM) log likelihood = -29406.781
Iteration 32: (EM) log likelihood = -29396.479
Iteration 33: (EM) log likelihood = -29385.793
Iteration 34: (EM) log likelihood = -29375.186
Iteration 35: (EM) log likelihood = -29363.872
Iteration 36: (EM) log likelihood = -29352.304
Iteration 37: (EM) log likelihood = -29340.036
Iteration 38: (EM) log likelihood = -29327.259
Iteration 39: (EM) log likelihood = -29314.083
Iteration 40: (EM) log likelihood = -29300.667
Iteration 41: (EM) log likelihood = -29287.11
Iteration 42: (EM) log likelihood = -29273.397
Iteration 43: (EM) log likelihood = -29260.051
Iteration 44: (EM) log likelihood = -29246.535
Iteration 45: (EM) log likelihood = -29233.166
Iteration 46: (EM) log likelihood = -29219.688
Iteration 47: (EM) log likelihood = -29206.048
Iteration 48: (EM) log likelihood = -29192.309
Iteration 49: (EM) log likelihood = -29178.197
Iteration 50: (EM) log likelihood = -29163.924
Iteration 51: (EM) log likelihood = -29149.173
Iteration 52: (EM) log likelihood = -29134.011
Iteration 53: (EM) log likelihood = -29118.382
Iteration 54: (EM) log likelihood = -29102.478
Iteration 55: (EM) log likelihood = -29086.349
Iteration 56: (EM) log likelihood = -29070.026
Iteration 57: (EM) log likelihood = -29053.59
Iteration 58: (EM) log likelihood = -29037.696
Iteration 59: (EM) log likelihood = -29022.155
Iteration 60: (EM) log likelihood = -29007.642
Iteration 61: (EM) log likelihood = -28994.475
Iteration 62: (EM) log likelihood = -28982.995
Iteration 63: (EM) log likelihood = -28973.129
Iteration 64: (EM) log likelihood = -28965.366
Iteration 65: (EM) log likelihood = -28959.737
Iteration 66: (EM) log likelihood = -28955.149
Iteration 67: (EM) log likelihood = -28952.174
Iteration 68: (EM) log likelihood = -28950.389
Iteration 69: (EM) log likelihood = -28949.062
Iteration 70: (EM) log likelihood = -28948.161
Iteration 71: (EM) log likelihood = -28947.594
Iteration 72: (EM) log likelihood = -28948.654
Iteration 73: (EM) log likelihood = -28949.326
Iteration 74: (EM) log likelihood = -28950.891
Iteration 75: (EM) log likelihood = -28951.834
Iteration 76: (EM) log likelihood = -28952.44
Iteration 77: (EM) log likelihood = -28953.076
Iteration 78: (EM) log likelihood = -28953.737
Iteration 79: (EM) log likelihood = -28954.768
Iteration 80: (EM) log likelihood = -28952.96
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.9252
Iteration 1: (class) log likelihood = -6096.9252
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29130.011
Iteration 1: (outcome) log likelihood = -29130.011
Refining starting values:
Iteration 0: (EM) log likelihood = -35210.055
Iteration 1: (EM) log likelihood = -35132.981
Iteration 2: (EM) log likelihood = -34843.397
Iteration 3: (EM) log likelihood = -34022.514
Iteration 4: (EM) log likelihood = -32805.257
Iteration 5: (EM) log likelihood = -31890.005
Iteration 6: (EM) log likelihood = -31331.2
Iteration 7: (EM) log likelihood = -30975.236
Iteration 8: (EM) log likelihood = -30731.964
Iteration 9: (EM) log likelihood = -30537.64
Iteration 10: (EM) log likelihood = -30358.638
Iteration 11: (EM) log likelihood = -30193.051
Iteration 12: (EM) log likelihood = -30048.544
Iteration 13: (EM) log likelihood = -29935.533
Iteration 14: (EM) log likelihood = -29850.562
Iteration 15: (EM) log likelihood = -29787.381
Iteration 16: (EM) log likelihood = -29739.974
Iteration 17: (EM) log likelihood = -29702.939
Iteration 18: (EM) log likelihood = -29673.691
Iteration 19: (EM) log likelihood = -29647.115
Iteration 20: (EM) log likelihood = -29624.21
Iteration 21: (EM) log likelihood = -29602.112
Iteration 22: (EM) log likelihood = -29581.267
Iteration 23: (EM) log likelihood = -29560.467
Iteration 24: (EM) log likelihood = -29540.359
Iteration 25: (EM) log likelihood = -29521.873
Iteration 26: (EM) log likelihood = -29505.585
Iteration 27: (EM) log likelihood = -29490.054
Iteration 28: (EM) log likelihood = -29476.064
Iteration 29: (EM) log likelihood = -29463.745
Iteration 30: (EM) log likelihood = -29452.493
Iteration 31: (EM) log likelihood = -29440.579
Iteration 32: (EM) log likelihood = -29429.108
Iteration 33: (EM) log likelihood = -29417.732
Iteration 34: (EM) log likelihood = -29406.23
Iteration 35: (EM) log likelihood = -29394.169
Iteration 36: (EM) log likelihood = -29382.27
Iteration 37: (EM) log likelihood = -29371.526
Iteration 38: (EM) log likelihood = -29358.613
Iteration 39: (EM) log likelihood = -29345.675
Iteration 40: (EM) log likelihood = -29331.417
Iteration 41: (EM) log likelihood = -29316.524
Iteration 42: (EM) log likelihood = -29300.85
Iteration 43: (EM) log likelihood = -29286.24
Iteration 44: (EM) log likelihood = -29268.883
Iteration 45: (EM) log likelihood = -29252.365
Iteration 46: (EM) log likelihood = -29233.282
Iteration 47: (EM) log likelihood = -29214.646
Iteration 48: (EM) log likelihood = -29192.767
Iteration 49: (EM) log likelihood = -29172.535
Iteration 50: (EM) log likelihood = -29151.456
Iteration 51: (EM) log likelihood = -29127.816
Iteration 52: (EM) log likelihood = -29103.579
Iteration 53: (EM) log likelihood = -29077.332
Iteration 54: (EM) log likelihood = -29049.14
Iteration 55: (EM) log likelihood = -29017.982
Iteration 56: (EM) log likelihood = -28987.438
Iteration 57: (EM) log likelihood = -28955.853
Iteration 58: (EM) log likelihood = -28923.79
Iteration 59: (EM) log likelihood = -28889.129
Iteration 60: (EM) log likelihood = -28854.838
Iteration 61: (EM) log likelihood = -28820.778
Iteration 62: (EM) log likelihood = -28787.53
Iteration 63: (EM) log likelihood = -28755.048
Iteration 64: (EM) log likelihood = -28721.807
Iteration 65: (EM) log likelihood = -28691.875
Iteration 66: (EM) log likelihood = -28661.993
Iteration 67: (EM) log likelihood = -28633.882
Iteration 68: (EM) log likelihood = -28607.19
Iteration 69: (EM) log likelihood = -28582.458
Iteration 70: (EM) log likelihood = -28561.009
Iteration 71: (EM) log likelihood = -28539.957
Iteration 72: (EM) log likelihood = -28520.005
Iteration 73: (EM) log likelihood = -28501.682
Iteration 74: (EM) log likelihood = -28486.189
Iteration 75: (EM) log likelihood = -28470.649
Iteration 76: (EM) log likelihood = -28457.522
Iteration 77: (EM) log likelihood = -28443.907
Iteration 78: (EM) log likelihood = -28431.772
Iteration 79: (EM) log likelihood = -28420.805
Iteration 80: (EM) log likelihood = -28410.751
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6096.0674
Iteration 1: (class) log likelihood = -6096.0674
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29805.693
Iteration 1: (outcome) log likelihood = -29253.975
Iteration 2: (outcome) log likelihood = -29149.984
Iteration 3: (outcome) log likelihood = -29126.157
Iteration 4: (outcome) log likelihood = -29121.329
Iteration 5: (outcome) log likelihood = -29120.22
Iteration 6: (outcome) log likelihood = -29120.038
Iteration 7: (outcome) log likelihood = -29119.994
Iteration 8: (outcome) log likelihood = -29119.985
Iteration 9: (outcome) log likelihood = -29119.983
Iteration 10: (outcome) log likelihood = -29119.982
Iteration 11: (outcome) log likelihood = -29119.982
Iteration 12: (outcome) log likelihood = -29119.982
Refining starting values:
Iteration 0: (EM) log likelihood = -35197.205
Iteration 1: (EM) log likelihood = -35133.855
Iteration 2: (EM) log likelihood = -34947.387
Iteration 3: (EM) log likelihood = -34465.692
Iteration 4: (EM) log likelihood = -33631.073
Iteration 5: (EM) log likelihood = -32735.082
Iteration 6: (EM) log likelihood = -31963.144
Iteration 7: (EM) log likelihood = -31310.284
Iteration 8: (EM) log likelihood = -30794.523
Iteration 9: (EM) log likelihood = -30447.187
Iteration 10: (EM) log likelihood = -30229.057
Iteration 11: (EM) log likelihood = -30066.833
Iteration 12: (EM) log likelihood = -29931.796
Iteration 13: (EM) log likelihood = -29818.554
Iteration 14: (EM) log likelihood = -29724.318
Iteration 15: (EM) log likelihood = -29644.925
Iteration 16: (EM) log likelihood = -29577.227
Iteration 17: (EM) log likelihood = -29512.746
Iteration 18: (EM) log likelihood = -29449.995
Iteration 19: (EM) log likelihood = -29389.107
Iteration 20: (EM) log likelihood = -29332.561
Iteration 21: (EM) log likelihood = -29279.954
Iteration 22: (EM) log likelihood = -29234.594
Iteration 23: (EM) log likelihood = -29195.554
Iteration 24: (EM) log likelihood = -29163.061
Iteration 25: (EM) log likelihood = -29135.333
Iteration 26: (EM) log likelihood = -29113.045
Iteration 27: (EM) log likelihood = -29093.806
Iteration 28: (EM) log likelihood = -29077.648
Iteration 29: (EM) log likelihood = -29064.016
Iteration 30: (EM) log likelihood = -29052.279
Iteration 31: (EM) log likelihood = -29042.534
Iteration 32: (EM) log likelihood = -29034.058
Iteration 33: (EM) log likelihood = -29026.566
Iteration 34: (EM) log likelihood = -29020.303
Iteration 35: (EM) log likelihood = -29015.226
Iteration 36: (EM) log likelihood = -29010.406
Iteration 37: (EM) log likelihood = -29006.565
Iteration 38: (EM) log likelihood = -29003.918
Iteration 39: (EM) log likelihood = -29000.996
Iteration 40: (EM) log likelihood = -28998.058
Iteration 41: (EM) log likelihood = -28995.974
Iteration 42: (EM) log likelihood = -28993.948
Iteration 43: (EM) log likelihood = -28992.302
Iteration 44: (EM) log likelihood = -28990.45
Iteration 45: (EM) log likelihood = -28988.672
Iteration 46: (EM) log likelihood = -28986.965
Iteration 47: (EM) log likelihood = -28984.72
Iteration 48: (EM) log likelihood = -28981.939
Iteration 49: (EM) log likelihood = -28979.986
Iteration 50: (EM) log likelihood = -28977.354
Iteration 51: (EM) log likelihood = -28974.407
Iteration 52: (EM) log likelihood = -28971.425
Iteration 53: (EM) log likelihood = -28967.495
Iteration 54: (EM) log likelihood = -28963.136
Iteration 55: (EM) log likelihood = -28959.633
Iteration 56: (EM) log likelihood = -28954.674
Iteration 57: (EM) log likelihood = -28946.278
Iteration 58: (EM) log likelihood = -28939.607
Iteration 59: (EM) log likelihood = -28933.976
Iteration 60: (EM) log likelihood = -28928.656
Iteration 61: (EM) log likelihood = -28922.143
Iteration 62: (EM) log likelihood = -28916.459
Iteration 63: (EM) log likelihood = -28906.767
Iteration 64: (EM) log likelihood = -28900.483
Iteration 65: (EM) log likelihood = -28893.589
Iteration 66: (EM) log likelihood = -28885.622
Iteration 67: (EM) log likelihood = -28878.201
Iteration 68: (EM) log likelihood = -28870.715
Iteration 69: (EM) log likelihood = -28863.358
Iteration 70: (EM) log likelihood = -28858.089
Iteration 71: (EM) log likelihood = -28847.554
Iteration 72: (EM) log likelihood = -28839.373
Iteration 73: (EM) log likelihood = -28830.136
Iteration 74: (EM) log likelihood = -28823.523
Iteration 75: (EM) log likelihood = -28814.571
Iteration 76: (EM) log likelihood = -28808.039
Iteration 77: (EM) log likelihood = -28798.864
Iteration 78: (EM) log likelihood = -28792.507
Iteration 79: (EM) log likelihood = -28784.902
Iteration 80: (EM) log likelihood = -28777.083
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.2067
Iteration 1: (class) log likelihood = -6097.2067
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29379.4
Iteration 1: (outcome) log likelihood = -29189.495
Iteration 2: (outcome) log likelihood = -29122.076
Iteration 3: (outcome) log likelihood = -29113.673
Iteration 4: (outcome) log likelihood = -29112.186
Iteration 5: (outcome) log likelihood = -29111.853
Iteration 6: (outcome) log likelihood = -29111.772
Iteration 7: (outcome) log likelihood = -29111.755
Iteration 8: (outcome) log likelihood = -29111.752
Iteration 9: (outcome) log likelihood = -29111.751
Iteration 10: (outcome) log likelihood = -29111.75
Iteration 11: (outcome) log likelihood = -29111.75
Refining starting values:
Iteration 0: (EM) log likelihood = -35195.989
Iteration 1: (EM) log likelihood = -35155.564
Iteration 2: (EM) log likelihood = -35044.037
Iteration 3: (EM) log likelihood = -34729.492
Iteration 4: (EM) log likelihood = -33989.565
Iteration 5: (EM) log likelihood = -32920.801
Iteration 6: (EM) log likelihood = -31930.714
Iteration 7: (EM) log likelihood = -31187.856
Iteration 8: (EM) log likelihood = -30690.313
Iteration 9: (EM) log likelihood = -30362.122
Iteration 10: (EM) log likelihood = -30156.469
Iteration 11: (EM) log likelihood = -30015.406
Iteration 12: (EM) log likelihood = -29901.048
Iteration 13: (EM) log likelihood = -29797.999
Iteration 14: (EM) log likelihood = -29703.146
Iteration 15: (EM) log likelihood = -29617.693
Iteration 16: (EM) log likelihood = -29541.112
Iteration 17: (EM) log likelihood = -29473.074
Iteration 18: (EM) log likelihood = -29414.328
Iteration 19: (EM) log likelihood = -29363.31
Iteration 20: (EM) log likelihood = -29318.907
Iteration 21: (EM) log likelihood = -29281.444
Iteration 22: (EM) log likelihood = -29249.731
Iteration 23: (EM) log likelihood = -29221.06
Iteration 24: (EM) log likelihood = -29196.712
Iteration 25: (EM) log likelihood = -29176.361
Iteration 26: (EM) log likelihood = -29158.684
Iteration 27: (EM) log likelihood = -29144.186
Iteration 28: (EM) log likelihood = -29131.547
Iteration 29: (EM) log likelihood = -29120.319
Iteration 30: (EM) log likelihood = -29110.174
Iteration 31: (EM) log likelihood = -29100.851
Iteration 32: (EM) log likelihood = -29091.953
Iteration 33: (EM) log likelihood = -29082.624
Iteration 34: (EM) log likelihood = -29073.704
Iteration 35: (EM) log likelihood = -29064.732
Iteration 36: (EM) log likelihood = -29055.583
Iteration 37: (EM) log likelihood = -29046.036
Iteration 38: (EM) log likelihood = -29035.246
Iteration 39: (EM) log likelihood = -29024.82
Iteration 40: (EM) log likelihood = -29014.104
Iteration 41: (EM) log likelihood = -29002.718
Iteration 42: (EM) log likelihood = -28990.575
Iteration 43: (EM) log likelihood = -28977.397
Iteration 44: (EM) log likelihood = -28963.969
Iteration 45: (EM) log likelihood = -28949.066
Iteration 46: (EM) log likelihood = -28932.666
Iteration 47: (EM) log likelihood = -28915.419
Iteration 48: (EM) log likelihood = -28896.761
Iteration 49: (EM) log likelihood = -28876.914
Iteration 50: (EM) log likelihood = -28856.253
Iteration 51: (EM) log likelihood = -28835.113
Iteration 52: (EM) log likelihood = -28813.679
Iteration 53: (EM) log likelihood = -28792.437
Iteration 54: (EM) log likelihood = -28771.498
Iteration 55: (EM) log likelihood = -28750.889
Iteration 56: (EM) log likelihood = -28729.01
Iteration 57: (EM) log likelihood = -28710.735
Iteration 58: (EM) log likelihood = -28693.051
Iteration 59: (EM) log likelihood = -28676.951
Iteration 60: (EM) log likelihood = -28661.578
Iteration 61: (EM) log likelihood = -28647.694
Iteration 62: (EM) log likelihood = -28634.912
Iteration 63: (EM) log likelihood = -28622.902
Iteration 64: (EM) log likelihood = -28612.21
Iteration 65: (EM) log likelihood = -28602.299
Iteration 66: (EM) log likelihood = -28592.45
Iteration 67: (EM) log likelihood = -28584.01
Iteration 68: (EM) log likelihood = -28576.519
Iteration 69: (EM) log likelihood = -28569.55
Iteration 70: (EM) log likelihood = -28563.2
Iteration 71: (EM) log likelihood = -28557.265
Iteration 72: (EM) log likelihood = -28551.63
Iteration 73: (EM) log likelihood = -28546.375
Iteration 74: (EM) log likelihood = -28541.565
Iteration 75: (EM) log likelihood = -28536.848
Iteration 76: (EM) log likelihood = -28532.62
Iteration 77: (EM) log likelihood = -28528.498
Iteration 78: (EM) log likelihood = -28524.653
Iteration 79: (EM) log likelihood = -28520.849
Iteration 80: (EM) log likelihood = -28517.142
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.576
Iteration 1: (class) log likelihood = -6097.576
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29116.889
Iteration 1: (outcome) log likelihood = -29116.889
Refining starting values:
Iteration 0: (EM) log likelihood = -35191.804
Iteration 1: (EM) log likelihood = -35102.386
Iteration 2: (EM) log likelihood = -34761.234
Iteration 3: (EM) log likelihood = -33788.85
Iteration 4: (EM) log likelihood = -32542.734
Iteration 5: (EM) log likelihood = -31747.027
Iteration 6: (EM) log likelihood = -31240.877
Iteration 7: (EM) log likelihood = -30869.968
Iteration 8: (EM) log likelihood = -30583.574
Iteration 9: (EM) log likelihood = -30356.563
Iteration 10: (EM) log likelihood = -30176.617
Iteration 11: (EM) log likelihood = -30037.217
Iteration 12: (EM) log likelihood = -29935.009
Iteration 13: (EM) log likelihood = -29863.927
Iteration 14: (EM) log likelihood = -29815.391
Iteration 15: (EM) log likelihood = -29781.436
Iteration 16: (EM) log likelihood = -29755.923
Iteration 17: (EM) log likelihood = -29736.163
Iteration 18: (EM) log likelihood = -29718.464
Iteration 19: (EM) log likelihood = -29702.84
Iteration 20: (EM) log likelihood = -29687.46
Iteration 21: (EM) log likelihood = -29669.577
Iteration 22: (EM) log likelihood = -29650.222
Iteration 23: (EM) log likelihood = -29627.75
Iteration 24: (EM) log likelihood = -29602.846
Iteration 25: (EM) log likelihood = -29576.147
Iteration 26: (EM) log likelihood = -29547.797
Iteration 27: (EM) log likelihood = -29516.867
Iteration 28: (EM) log likelihood = -29484.073
Iteration 29: (EM) log likelihood = -29452.379
Iteration 30: (EM) log likelihood = -29417.958
Iteration 31: (EM) log likelihood = -29385.983
Iteration 32: (EM) log likelihood = -29354.252
Iteration 33: (EM) log likelihood = -29322.164
Iteration 34: (EM) log likelihood = -29290.947
Iteration 35: (EM) log likelihood = -29261.773
Iteration 36: (EM) log likelihood = -29233.936
Iteration 37: (EM) log likelihood = -29206.057
Iteration 38: (EM) log likelihood = -29178.184
Iteration 39: (EM) log likelihood = -29150.584
Iteration 40: (EM) log likelihood = -29123.245
Iteration 41: (EM) log likelihood = -29095.028
Iteration 42: (EM) log likelihood = -29066.462
Iteration 43: (EM) log likelihood = -29037.206
Iteration 44: (EM) log likelihood = -29008.062
Iteration 45: (EM) log likelihood = -28979.535
Iteration 46: (EM) log likelihood = -28951.621
Iteration 47: (EM) log likelihood = -28925.288
Iteration 48: (EM) log likelihood = -28900.546
Iteration 49: (EM) log likelihood = -28878.024
Iteration 50: (EM) log likelihood = -28857.476
Iteration 51: (EM) log likelihood = -28838.939
Iteration 52: (EM) log likelihood = -28822.57
Iteration 53: (EM) log likelihood = -28807.446
Iteration 54: (EM) log likelihood = -28794.593
Iteration 55: (EM) log likelihood = -28783.302
Iteration 56: (EM) log likelihood = -28773.696
Iteration 57: (EM) log likelihood = -28765.96
Iteration 58: (EM) log likelihood = -28758.035
Iteration 59: (EM) log likelihood = -28751.533
Iteration 60: (EM) log likelihood = -28745.623
Iteration 61: (EM) log likelihood = -28740.282
Iteration 62: (EM) log likelihood = -28735.023
Iteration 63: (EM) log likelihood = -28730.45
Iteration 64: (EM) log likelihood = -28726.375
Iteration 65: (EM) log likelihood = -28722.667
Iteration 66: (EM) log likelihood = -28719.133
Iteration 67: (EM) log likelihood = -28714.903
Iteration 68: (EM) log likelihood = -28711.107
Iteration 69: (EM) log likelihood = -28708.51
Iteration 70: (EM) log likelihood = -28704.995
Iteration 71: (EM) log likelihood = -28702.73
Iteration 72: (EM) log likelihood = -28700.307
Iteration 73: (EM) log likelihood = -28697.697
Iteration 74: (EM) log likelihood = -28693.223
Iteration 75: (EM) log likelihood = -28690.58
Iteration 76: (EM) log likelihood = -28685.957
Iteration 77: (EM) log likelihood = -28683.173
Iteration 78: (EM) log likelihood = -28680.391
Iteration 79: (EM) log likelihood = -28677.775
Iteration 80: (EM) log likelihood = -28675.633
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6098.057
Iteration 1: (class) log likelihood = -6098.057
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29374.694
Iteration 1: (outcome) log likelihood = -29193.788
Iteration 2: (outcome) log likelihood = -29133.076
Iteration 3: (outcome) log likelihood = -29123.663
Iteration 4: (outcome) log likelihood = -29122.372
Iteration 5: (outcome) log likelihood = -29122.21
Iteration 6: (outcome) log likelihood = -29122.179
Iteration 7: (outcome) log likelihood = -29122.172
Iteration 8: (outcome) log likelihood = -29122.17
Iteration 9: (outcome) log likelihood = -29122.17
Iteration 10: (outcome) log likelihood = -29122.17
Iteration 11: (outcome) log likelihood = -29122.17
Refining starting values:
Iteration 0: (EM) log likelihood = -35201.568
Iteration 1: (EM) log likelihood = -35122.652
Iteration 2: (EM) log likelihood = -34814.364
Iteration 3: (EM) log likelihood = -33887
Iteration 4: (EM) log likelihood = -32603.75
Iteration 5: (EM) log likelihood = -31742.664
Iteration 6: (EM) log likelihood = -31217.758
Iteration 7: (EM) log likelihood = -30898.446
Iteration 8: (EM) log likelihood = -30683.195
Iteration 9: (EM) log likelihood = -30516.281
Iteration 10: (EM) log likelihood = -30368.973
Iteration 11: (EM) log likelihood = -30226.68
Iteration 12: (EM) log likelihood = -30086.957
Iteration 13: (EM) log likelihood = -29955.193
Iteration 14: (EM) log likelihood = -29842.11
Iteration 15: (EM) log likelihood = -29748.413
Iteration 16: (EM) log likelihood = -29677.761
Iteration 17: (EM) log likelihood = -29621.186
Iteration 18: (EM) log likelihood = -29575.834
Iteration 19: (EM) log likelihood = -29536.906
Iteration 20: (EM) log likelihood = -29501.13
Iteration 21: (EM) log likelihood = -29466.168
Iteration 22: (EM) log likelihood = -29429.884
Iteration 23: (EM) log likelihood = -29389.919
Iteration 24: (EM) log likelihood = -29347.646
Iteration 25: (EM) log likelihood = -29303.684
Iteration 26: (EM) log likelihood = -29257.471
Iteration 27: (EM) log likelihood = -29211.479
Iteration 28: (EM) log likelihood = -29165.378
Iteration 29: (EM) log likelihood = -29121.343
Iteration 30: (EM) log likelihood = -29080.555
Iteration 31: (EM) log likelihood = -29042.315
Iteration 32: (EM) log likelihood = -29006.771
Iteration 33: (EM) log likelihood = -28974.75
Iteration 34: (EM) log likelihood = -28945.815
Iteration 35: (EM) log likelihood = -28919.759
Iteration 36: (EM) log likelihood = -28895.475
Iteration 37: (EM) log likelihood = -28874.64
Iteration 38: (EM) log likelihood = -28855.9
Iteration 39: (EM) log likelihood = -28839.092
Iteration 40: (EM) log likelihood = -28823.928
Iteration 41: (EM) log likelihood = -28810.838
Iteration 42: (EM) log likelihood = -28799.151
Iteration 43: (EM) log likelihood = -28788.462
Iteration 44: (EM) log likelihood = -28778.987
Iteration 45: (EM) log likelihood = -28770.83
Iteration 46: (EM) log likelihood = -28763.195
Iteration 47: (EM) log likelihood = -28756.55
Iteration 48: (EM) log likelihood = -28750.836
Iteration 49: (EM) log likelihood = -28745.199
Iteration 50: (EM) log likelihood = -28740.302
Iteration 51: (EM) log likelihood = -28735.842
Iteration 52: (EM) log likelihood = -28731.803
Iteration 53: (EM) log likelihood = -28728.253
Iteration 54: (EM) log likelihood = -28724.859
Iteration 55: (EM) log likelihood = -28721.937
Iteration 56: (EM) log likelihood = -28718.946
Iteration 57: (EM) log likelihood = -28716.506
Iteration 58: (EM) log likelihood = -28714.567
Iteration 59: (EM) log likelihood = -28712.908
Iteration 60: (EM) log likelihood = -28711.488
Iteration 61: (EM) log likelihood = -28710.235
Iteration 62: (EM) log likelihood = -28708.993
Iteration 63: (EM) log likelihood = -28708.268
Iteration 64: (EM) log likelihood = -28707.129
Iteration 65: (EM) log likelihood = -28706.262
Iteration 66: (EM) log likelihood = -28705.612
Iteration 67: (EM) log likelihood = -28705.133
Iteration 68: (EM) log likelihood = -28704.9
Iteration 69: (EM) log likelihood = -28704.47
Iteration 70: (EM) log likelihood = -28704.118
Iteration 71: (EM) log likelihood = -28703.893
Iteration 72: (EM) log likelihood = -28703.685
Iteration 73: (EM) log likelihood = -28703.932
Iteration 74: (EM) log likelihood = -28703.877
Iteration 75: (EM) log likelihood = -28703.883
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6090.2515
Iteration 1: (class) log likelihood = -6090.2515
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29599.568
Iteration 1: (outcome) log likelihood = -29221.211
Iteration 2: (outcome) log likelihood = -29148.799
Iteration 3: (outcome) log likelihood = -29133.162
Iteration 4: (outcome) log likelihood = -29129.532
Iteration 5: (outcome) log likelihood = -29128.693
Iteration 6: (outcome) log likelihood = -29128.499
Iteration 7: (outcome) log likelihood = -29128.458
Iteration 8: (outcome) log likelihood = -29128.451
Iteration 9: (outcome) log likelihood = -29128.45
Iteration 10: (outcome) log likelihood = -29128.45
Iteration 11: (outcome) log likelihood = -29128.45
Iteration 12: (outcome) log likelihood = -29128.45
Refining starting values:
Iteration 0: (EM) log likelihood = -35183.069
Iteration 1: (EM) log likelihood = -35046.432
Iteration 2: (EM) log likelihood = -34599.596
Iteration 3: (EM) log likelihood = -33609.711
Iteration 4: (EM) log likelihood = -32457.93
Iteration 5: (EM) log likelihood = -31637.632
Iteration 6: (EM) log likelihood = -31128.796
Iteration 7: (EM) log likelihood = -30801.087
Iteration 8: (EM) log likelihood = -30560.277
Iteration 9: (EM) log likelihood = -30366.91
Iteration 10: (EM) log likelihood = -30194.77
Iteration 11: (EM) log likelihood = -30040.929
Iteration 12: (EM) log likelihood = -29908.858
Iteration 13: (EM) log likelihood = -29802.494
Iteration 14: (EM) log likelihood = -29716.945
Iteration 15: (EM) log likelihood = -29645.629
Iteration 16: (EM) log likelihood = -29586.805
Iteration 17: (EM) log likelihood = -29534.842
Iteration 18: (EM) log likelihood = -29488.308
Iteration 19: (EM) log likelihood = -29444.519
Iteration 20: (EM) log likelihood = -29402.322
Iteration 21: (EM) log likelihood = -29361.367
Iteration 22: (EM) log likelihood = -29321.399
Iteration 23: (EM) log likelihood = -29282.757
Iteration 24: (EM) log likelihood = -29245.176
Iteration 25: (EM) log likelihood = -29210.223
Iteration 26: (EM) log likelihood = -29178.926
Iteration 27: (EM) log likelihood = -29151.106
Iteration 28: (EM) log likelihood = -29126.684
Iteration 29: (EM) log likelihood = -29105.113
Iteration 30: (EM) log likelihood = -29087.152
Iteration 31: (EM) log likelihood = -29071.834
Iteration 32: (EM) log likelihood = -29058.781
Iteration 33: (EM) log likelihood = -29047.45
Iteration 34: (EM) log likelihood = -29038.046
Iteration 35: (EM) log likelihood = -29029.331
Iteration 36: (EM) log likelihood = -29021.573
Iteration 37: (EM) log likelihood = -29015.179
Iteration 38: (EM) log likelihood = -29009.671
Iteration 39: (EM) log likelihood = -29004.47
Iteration 40: (EM) log likelihood = -28998.731
Iteration 41: (EM) log likelihood = -28993.819
Iteration 42: (EM) log likelihood = -28989.253
Iteration 43: (EM) log likelihood = -28984.467
Iteration 44: (EM) log likelihood = -28979.224
Iteration 45: (EM) log likelihood = -28974.858
Iteration 46: (EM) log likelihood = -28969.393
Iteration 47: (EM) log likelihood = -28963.741
Iteration 48: (EM) log likelihood = -28958.116
Iteration 49: (EM) log likelihood = -28951.577
Iteration 50: (EM) log likelihood = -28944.003
Iteration 51: (EM) log likelihood = -28935.379
Iteration 52: (EM) log likelihood = -28925.201
Iteration 53: (EM) log likelihood = -28914.285
Iteration 54: (EM) log likelihood = -28903.392
Iteration 55: (EM) log likelihood = -28891.985
Iteration 56: (EM) log likelihood = -28881.23
Iteration 57: (EM) log likelihood = -28870.784
Iteration 58: (EM) log likelihood = -28859.8
Iteration 59: (EM) log likelihood = -28848.436
Iteration 60: (EM) log likelihood = -28839.438
Iteration 61: (EM) log likelihood = -28831.611
Iteration 62: (EM) log likelihood = -28824.333
Iteration 63: (EM) log likelihood = -28818.158
Iteration 64: (EM) log likelihood = -28813.298
Iteration 65: (EM) log likelihood = -28809.387
Iteration 66: (EM) log likelihood = -28803.878
Iteration 67: (EM) log likelihood = -28791.852
Iteration 68: (EM) log likelihood = -28782.968
Iteration 69: (EM) log likelihood = -28772.433
Iteration 70: (EM) log likelihood = -28762.287
Iteration 71: (EM) log likelihood = -28755.024
Iteration 72: (EM) log likelihood = -28749.067
Iteration 73: (EM) log likelihood = -28743.836
Iteration 74: (EM) log likelihood = -28741.098
Iteration 75: (EM) log likelihood = -28735.197
Iteration 76: (EM) log likelihood = -28731.29
Iteration 77: (EM) log likelihood = -28728.391
Iteration 78: (EM) log likelihood = -28726.86
Iteration 79: (EM) log likelihood = -28724.551
Iteration 80: (EM) log likelihood = -28722.974
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.1014
Iteration 1: (class) log likelihood = -6097.1014
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29375.068
Iteration 1: (outcome) log likelihood = -29194.797
Iteration 2: (outcome) log likelihood = -29135.773
Iteration 3: (outcome) log likelihood = -29127.371
Iteration 4: (outcome) log likelihood = -29125.331
Iteration 5: (outcome) log likelihood = -29124.89
Iteration 6: (outcome) log likelihood = -29124.79
Iteration 7: (outcome) log likelihood = -29124.773
Iteration 8: (outcome) log likelihood = -29124.772
Iteration 9: (outcome) log likelihood = -29124.771
Iteration 10: (outcome) log likelihood = -29124.771
Iteration 11: (outcome) log likelihood = -29124.771
Refining starting values:
Iteration 0: (EM) log likelihood = -35213.905
Iteration 1: (EM) log likelihood = -35182.128
Iteration 2: (EM) log likelihood = -35092.66
Iteration 3: (EM) log likelihood = -34860.847
Iteration 4: (EM) log likelihood = -34359.12
Iteration 5: (EM) log likelihood = -33544.171
Iteration 6: (EM) log likelihood = -32569.691
Iteration 7: (EM) log likelihood = -31639.629
Iteration 8: (EM) log likelihood = -30902.645
Iteration 9: (EM) log likelihood = -30430.439
Iteration 10: (EM) log likelihood = -30165.066
Iteration 11: (EM) log likelihood = -30012.05
Iteration 12: (EM) log likelihood = -29914.182
Iteration 13: (EM) log likelihood = -29841.162
Iteration 14: (EM) log likelihood = -29780.803
Iteration 15: (EM) log likelihood = -29725.345
Iteration 16: (EM) log likelihood = -29671.77
Iteration 17: (EM) log likelihood = -29620.567
Iteration 18: (EM) log likelihood = -29572.535
Iteration 19: (EM) log likelihood = -29529.732
Iteration 20: (EM) log likelihood = -29491.433
Iteration 21: (EM) log likelihood = -29457.721
Iteration 22: (EM) log likelihood = -29428.695
Iteration 23: (EM) log likelihood = -29402.517
Iteration 24: (EM) log likelihood = -29378.114
Iteration 25: (EM) log likelihood = -29354.899
Iteration 26: (EM) log likelihood = -29332.378
Iteration 27: (EM) log likelihood = -29309.926
Iteration 28: (EM) log likelihood = -29287.414
Iteration 29: (EM) log likelihood = -29265.279
Iteration 30: (EM) log likelihood = -29243.053
Iteration 31: (EM) log likelihood = -29220.8
Iteration 32: (EM) log likelihood = -29198.286
Iteration 33: (EM) log likelihood = -29175.705
Iteration 34: (EM) log likelihood = -29153.377
Iteration 35: (EM) log likelihood = -29131.21
Iteration 36: (EM) log likelihood = -29108.662
Iteration 37: (EM) log likelihood = -29087.549
Iteration 38: (EM) log likelihood = -29067.43
Iteration 39: (EM) log likelihood = -29049.625
Iteration 40: (EM) log likelihood = -29033.306
Iteration 41: (EM) log likelihood = -29020.384
Iteration 42: (EM) log likelihood = -29010.207
Iteration 43: (EM) log likelihood = -29002.505
Iteration 44: (EM) log likelihood = -28996.527
Iteration 45: (EM) log likelihood = -28992.84
Iteration 46: (EM) log likelihood = -28989.708
Iteration 47: (EM) log likelihood = -28987.196
Iteration 48: (EM) log likelihood = -28985.798
Iteration 49: (EM) log likelihood = -28985.142
Iteration 50: (EM) log likelihood = -28984.094
Iteration 51: (EM) log likelihood = -28982.996
Iteration 52: (EM) log likelihood = -28982.425
Iteration 53: (EM) log likelihood = -28980.431
Iteration 54: (EM) log likelihood = -28978.301
Iteration 55: (EM) log likelihood = -28975.443
Iteration 56: (EM) log likelihood = -28972.272
Iteration 57: (EM) log likelihood = -28969.348
Iteration 58: (EM) log likelihood = -28967.498
Iteration 59: (EM) log likelihood = -28963.029
Iteration 60: (EM) log likelihood = -28959.218
Iteration 61: (EM) log likelihood = -28954.427
Iteration 62: (EM) log likelihood = -28949.662
Iteration 63: (EM) log likelihood = -28945.49
Iteration 64: (EM) log likelihood = -28941.013
Iteration 65: (EM) log likelihood = -28934.94
Iteration 66: (EM) log likelihood = -28931.19
Iteration 67: (EM) log likelihood = -28926.321
Iteration 68: (EM) log likelihood = -28921.367
Iteration 69: (EM) log likelihood = -28916.018
Iteration 70: (EM) log likelihood = -28910.677
Iteration 71: (EM) log likelihood = -28905.792
Iteration 72: (EM) log likelihood = -28900.282
Iteration 73: (EM) log likelihood = -28896.4
Iteration 74: (EM) log likelihood = -28891.464
Iteration 75: (EM) log likelihood = -28887.368
Iteration 76: (EM) log likelihood = -28881.967
Iteration 77: (EM) log likelihood = -28877.461
Iteration 78: (EM) log likelihood = -28874.42
Iteration 79: (EM) log likelihood = -28869.548
Iteration 80: (EM) log likelihood = -28864.192
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6092.498
Iteration 1: (class) log likelihood = -6092.498
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29123.773
Iteration 1: (outcome) log likelihood = -29123.773
Refining starting values:
Iteration 0: (EM) log likelihood = -35199.234
Iteration 1: (EM) log likelihood = -35112.512
Iteration 2: (EM) log likelihood = -34792.832
Iteration 3: (EM) log likelihood = -34017.793
Iteration 4: (EM) log likelihood = -33039.117
Iteration 5: (EM) log likelihood = -32267.979
Iteration 6: (EM) log likelihood = -31692.29
Iteration 7: (EM) log likelihood = -31214.299
Iteration 8: (EM) log likelihood = -30813.849
Iteration 9: (EM) log likelihood = -30488.624
Iteration 10: (EM) log likelihood = -30232.944
Iteration 11: (EM) log likelihood = -30039.075
Iteration 12: (EM) log likelihood = -29890.754
Iteration 13: (EM) log likelihood = -29774.975
Iteration 14: (EM) log likelihood = -29684.976
Iteration 15: (EM) log likelihood = -29612.27
Iteration 16: (EM) log likelihood = -29553.494
Iteration 17: (EM) log likelihood = -29505.754
Iteration 18: (EM) log likelihood = -29464.317
Iteration 19: (EM) log likelihood = -29427.791
Iteration 20: (EM) log likelihood = -29394.993
Iteration 21: (EM) log likelihood = -29365.414
Iteration 22: (EM) log likelihood = -29338.835
Iteration 23: (EM) log likelihood = -29315.738
Iteration 24: (EM) log likelihood = -29295.628
Iteration 25: (EM) log likelihood = -29279.043
Iteration 26: (EM) log likelihood = -29265.324
Iteration 27: (EM) log likelihood = -29254.142
Iteration 28: (EM) log likelihood = -29245.56
Iteration 29: (EM) log likelihood = -29239.248
Iteration 30: (EM) log likelihood = -29234.962
Iteration 31: (EM) log likelihood = -29232.16
Iteration 32: (EM) log likelihood = -29229.814
Iteration 33: (EM) log likelihood = -29227.994
Iteration 34: (EM) log likelihood = -29225.707
Iteration 35: (EM) log likelihood = -29222.587
Iteration 36: (EM) log likelihood = -29218.811
Iteration 37: (EM) log likelihood = -29213.525
Iteration 38: (EM) log likelihood = -29206.663
Iteration 39: (EM) log likelihood = -29198.347
Iteration 40: (EM) log likelihood = -29189.288
Iteration 41: (EM) log likelihood = -29179.485
Iteration 42: (EM) log likelihood = -29168.779
Iteration 43: (EM) log likelihood = -29158.836
Iteration 44: (EM) log likelihood = -29147.955
Iteration 45: (EM) log likelihood = -29137.843
Iteration 46: (EM) log likelihood = -29127.481
Iteration 47: (EM) log likelihood = -29117.096
Iteration 48: (EM) log likelihood = -29108.266
Iteration 49: (EM) log likelihood = -29099.139
Iteration 50: (EM) log likelihood = -29090.183
Iteration 51: (EM) log likelihood = -29081.752
Iteration 52: (EM) log likelihood = -29073.813
Iteration 53: (EM) log likelihood = -29065.993
Iteration 54: (EM) log likelihood = -29058.863
Iteration 55: (EM) log likelihood = -29050.67
Iteration 56: (EM) log likelihood = -29044.371
Iteration 57: (EM) log likelihood = -29038.325
Iteration 58: (EM) log likelihood = -29032.661
Iteration 59: (EM) log likelihood = -29027.303
Iteration 60: (EM) log likelihood = -29021.512
Iteration 61: (EM) log likelihood = -29016.033
Iteration 62: (EM) log likelihood = -29010.783
Iteration 63: (EM) log likelihood = -29006.303
Iteration 64: (EM) log likelihood = -29000.413
Iteration 65: (EM) log likelihood = -28995.387
Iteration 66: (EM) log likelihood = -28990.522
Iteration 67: (EM) log likelihood = -28985.792
Iteration 68: (EM) log likelihood = -28980.689
Iteration 69: (EM) log likelihood = -28974.943
Iteration 70: (EM) log likelihood = -28968.414
Iteration 71: (EM) log likelihood = -28962.094
Iteration 72: (EM) log likelihood = -28954.781
Iteration 73: (EM) log likelihood = -28947.384
Iteration 74: (EM) log likelihood = -28939.749
Iteration 75: (EM) log likelihood = -28931.404
Iteration 76: (EM) log likelihood = -28923.329
Iteration 77: (EM) log likelihood = -28913.471
Iteration 78: (EM) log likelihood = -28904.704
Iteration 79: (EM) log likelihood = -28896.73
Iteration 80: (EM) log likelihood = -28887.615
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6097.5086
Iteration 1: (class) log likelihood = -6097.5086
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29125.844
Iteration 1: (outcome) log likelihood = -29125.844
Refining starting values:
Iteration 0: (EM) log likelihood = -35213.207
Iteration 1: (EM) log likelihood = -35161.433
Iteration 2: (EM) log likelihood = -34970.453
Iteration 3: (EM) log likelihood = -34358.864
Iteration 4: (EM) log likelihood = -33207.308
Iteration 5: (EM) log likelihood = -32165.259
Iteration 6: (EM) log likelihood = -31488.243
Iteration 7: (EM) log likelihood = -31023.778
Iteration 8: (EM) log likelihood = -30681.963
Iteration 9: (EM) log likelihood = -30433.993
Iteration 10: (EM) log likelihood = -30258.424
Iteration 11: (EM) log likelihood = -30128.374
Iteration 12: (EM) log likelihood = -30020.996
Iteration 13: (EM) log likelihood = -29924.005
Iteration 14: (EM) log likelihood = -29830.661
Iteration 15: (EM) log likelihood = -29742.463
Iteration 16: (EM) log likelihood = -29661.087
Iteration 17: (EM) log likelihood = -29589.342
Iteration 18: (EM) log likelihood = -29524.894
Iteration 19: (EM) log likelihood = -29468.536
Iteration 20: (EM) log likelihood = -29417.902
Iteration 21: (EM) log likelihood = -29371.139
Iteration 22: (EM) log likelihood = -29328.037
Iteration 23: (EM) log likelihood = -29287.233
Iteration 24: (EM) log likelihood = -29248.332
Iteration 25: (EM) log likelihood = -29210.396
Iteration 26: (EM) log likelihood = -29174.362
Iteration 27: (EM) log likelihood = -29140.419
Iteration 28: (EM) log likelihood = -29109.097
Iteration 29: (EM) log likelihood = -29080.373
Iteration 30: (EM) log likelihood = -29054.163
Iteration 31: (EM) log likelihood = -29030.756
Iteration 32: (EM) log likelihood = -29011.1
Iteration 33: (EM) log likelihood = -28992.931
Iteration 34: (EM) log likelihood = -28978.083
Iteration 35: (EM) log likelihood = -28964.691
Iteration 36: (EM) log likelihood = -28951.09
Iteration 37: (EM) log likelihood = -28939.265
Iteration 38: (EM) log likelihood = -28928.642
Iteration 39: (EM) log likelihood = -28917.259
Iteration 40: (EM) log likelihood = -28906.355
Iteration 41: (EM) log likelihood = -28896.7
Iteration 42: (EM) log likelihood = -28887.143
Iteration 43: (EM) log likelihood = -28877.159
Iteration 44: (EM) log likelihood = -28868.115
Iteration 45: (EM) log likelihood = -28858.205
Iteration 46: (EM) log likelihood = -28847.661
Iteration 47: (EM) log likelihood = -28839.37
Iteration 48: (EM) log likelihood = -28830.562
Iteration 49: (EM) log likelihood = -28821.803
Iteration 50: (EM) log likelihood = -28810.373
Iteration 51: (EM) log likelihood = -28799.052
Iteration 52: (EM) log likelihood = -28791.678
Iteration 53: (EM) log likelihood = -28783.139
Iteration 54: (EM) log likelihood = -28776.509
Iteration 55: (EM) log likelihood = -28768.224
Iteration 56: (EM) log likelihood = -28761.378
Iteration 57: (EM) log likelihood = -28754.168
Iteration 58: (EM) log likelihood = -28748.221
Iteration 59: (EM) log likelihood = -28742.031
Iteration 60: (EM) log likelihood = -28736.223
Iteration 61: (EM) log likelihood = -28730.248
Iteration 62: (EM) log likelihood = -28723.949
Iteration 63: (EM) log likelihood = -28719.059
Iteration 64: (EM) log likelihood = -28713.47
Iteration 65: (EM) log likelihood = -28708.482
Iteration 66: (EM) log likelihood = -28703.579
Iteration 67: (EM) log likelihood = -28699.173
Iteration 68: (EM) log likelihood = -28695.06
Iteration 69: (EM) log likelihood = -28691.191
Iteration 70: (EM) log likelihood = -28687.696
Iteration 71: (EM) log likelihood = -28683.958
Iteration 72: (EM) log likelihood = -28680.47
Iteration 73: (EM) log likelihood = -28677.394
Iteration 74: (EM) log likelihood = -28674.667
Iteration 75: (EM) log likelihood = -28671.049
Iteration 76: (EM) log likelihood = -28669.538
Iteration 77: (EM) log likelihood = -28667.304
Iteration 78: (EM) log likelihood = -28663.583
Iteration 79: (EM) log likelihood = -28660.886
Iteration 80: (EM) log likelihood = -28658.694
Note: EM algorithm reached maximum iterations.
Fitting full model:
Iteration 0: log likelihood = -27111.605 (not concave)
Iteration 1: log likelihood = -27111.375 (not concave)
Iteration 2: log likelihood = -27111.334 (not concave)
Iteration 3: log likelihood = -27111.19 (not concave)
Iteration 4: log likelihood = -27111.167 (not concave)
Iteration 5: log likelihood = -27111.151 (not concave)
Iteration 6: log likelihood = -27111.143 (not concave)
Iteration 7: log likelihood = -27111.135 (not concave)
Iteration 8: log likelihood = -27111.123 (not concave)
Iteration 9: log likelihood = -27111.119 (not concave)
Iteration 10: log likelihood = -27111.114 (not concave)
Iteration 11: log likelihood = -27111.11 (not concave)
Iteration 12: log likelihood = -27111.102 (not concave)
Iteration 13: log likelihood = -27111.095 (not concave)
Iteration 14: log likelihood = -27111.09 (not concave)
Iteration 15: log likelihood = -27111.087 (not concave)
Iteration 16: log likelihood = -27111.084 (not concave)
Iteration 17: log likelihood = -27111.081 (not concave)
Iteration 18: log likelihood = -27111.07 (not concave)
Iteration 19: log likelihood = -27111.063 (not concave)
Iteration 20: log likelihood = -27111.061 (not concave)
Generalized structural equation model Number of obs = 3,789
Log likelihood = -27111.061
------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
1.C | (base outcome)
-------------+----------------------------------------------------------------
2.C |
_cons | -1.199588 .1461383 -8.21 0.000 -1.486013 -.9131619
-------------+----------------------------------------------------------------
3.C |
_cons | -.6704687 .1192237 -5.62 0.000 -.9041428 -.4367945
-------------+----------------------------------------------------------------
4.C |
_cons | .4943728 .1239381 3.99 0.000 .2514587 .7372869
-------------+----------------------------------------------------------------
5.C |
_cons | -.1767548 .086334 -2.05 0.041 -.3459663 -.0075433
------------------------------------------------------------------------------
Class : 1
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -3.01205 .4731386 -6.37 0.000 -3.939384 -2.084715
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -89.81214 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 7.136224 12.02394 0.59 0.553 -16.43026 30.70271
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 9.985169 12.01876 0.83 0.406 -13.57117 33.54151
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 10.44656 12.01856 0.87 0.385 -13.10939 34.00251
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 10.1292 12.01876 0.84 0.399 -13.42713 33.68554
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 8.035684 12.02076 0.67 0.504 -15.52457 31.59594
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 2.320242 .2044641 11.35 0.000 1.9195 2.720985
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -.6023261 .2693822 -2.24 0.025 -1.130306 -.0743467
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 12.61039 . . . . .
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 11.36531 .0898879 126.44 0.000 11.18913 11.54148
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | .9736104 .1703362 5.72 0.000 .6397575 1.307463
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.378119 .1877498 7.34 0.000 1.010136 1.746102
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.048835 .160801 12.74 0.000 1.733671 2.363999
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | -2.18012 2.37774 -0.92 0.359 -6.840404 2.480165
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | -27.58893 510196.8 -0.00 1.000 -999995 999939.8
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 14.59281 105.4414 0.14 0.890 -192.0686 221.2542
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 13.52947 105.4415 0.13 0.898 -193.1321 220.191
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 13.53872 105.4415 0.13 0.898 -193.1228 220.2002
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 13.34862 105.4414 0.13 0.899 -193.3128 220.0101
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 13.477 105.4415 0.13 0.898 -193.1845 220.1385
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 9.592256 . . . . .
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 11.56833 .1842466 62.79 0.000 11.20721 11.92945
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 11.06554 .1822745 60.71 0.000 10.70828 11.42279
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 8.562403 .2834232 30.21 0.000 8.006904 9.117902
--------------------------------------------------------------------------------------------
Class : 2
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -.7937049 .2350441 -3.38 0.001 -1.254383 -.3330269
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -150.8483 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | -.7928682 .5682636 -1.40 0.163 -1.906644 .3209081
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 1.557544 .3189233 4.88 0.000 .9324656 2.182622
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 1.639463 .3224386 5.08 0.000 1.007495 2.271431
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 1.504141 .3299645 4.56 0.000 .8574227 2.15086
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | -.2607991 .5088004 -0.51 0.608 -1.258029 .7364313
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | -1.280853 .3407288 -3.76 0.000 -1.948669 -.6130367
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -30.35388 552757.5 -0.00 1.000 -1083415 1083354
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 2.496563 .2783296 8.97 0.000 1.951047 3.042079
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | .517336 .3722124 1.39 0.165 -.2121868 1.246859
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | -2.368374 5.785067 -0.41 0.682 -13.7069 8.97015
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | .9688237 .5082472 1.91 0.057 -.0273224 1.96497
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.70191 .4353063 3.91 0.000 .8487255 2.555095
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.936696 .4138475 4.68 0.000 1.125569 2.747822
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.9133 .4106611 4.66 0.000 1.108419 2.718181
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 2.0313 .4581337 4.43 0.000 1.133375 2.929226
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 2.633981 .4153725 6.34 0.000 1.819866 3.448097
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 1.842848 .4501402 4.09 0.000 .9605895 2.725107
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 1.245969 .4669196 2.67 0.008 .3308233 2.161115
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 1.886381 .44935 4.20 0.000 1.005671 2.767091
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | .3012341 .5453752 0.55 0.581 -.7676816 1.37015
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 3.058339 .3854361 7.93 0.000 2.302898 3.81378
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 2.139519 .4125984 5.19 0.000 1.330841 2.948197
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | .3470041 .5563103 0.62 0.533 -.7433441 1.437352
--------------------------------------------------------------------------------------------
Class : 3
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | 2.589352 .3593064 7.21 0.000 1.885125 3.29358
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -141.3357 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 14.44119 1.188865 12.15 0.000 12.11106 16.77133
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 17.9263 .2682959 66.82 0.000 17.40045 18.45215
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 19.148 .2188616 87.49 0.000 18.71904 19.57696
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 19.77235 .2075428 95.27 0.000 19.36558 20.17913
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 17.77241 . . . . .
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.861588 .1546625 12.04 0.000 1.558455 2.164721
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -115.8629 . . . . .
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 10.52401 10.68446 0.98 0.325 -10.41715 31.46517
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 7.998499 10.68641 0.75 0.454 -12.94648 28.94347
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | -.7545601 1.421983 -0.53 0.596 -3.541595 2.032475
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.295424 .6683216 6.43 0.000 2.985538 5.60531
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 3.46256 .6710427 5.16 0.000 2.14734 4.777779
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.482983 .684504 3.63 0.000 1.14138 3.824587
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | .8738108 .7687749 1.14 0.256 -.6329603 2.380582
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 15.41698 126.3094 0.12 0.903 -232.1448 262.9788
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 13.55117 126.3095 0.11 0.915 -234.0109 261.1132
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 13.07616 126.3095 0.10 0.918 -234.486 260.6383
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 13.011 126.3095 0.10 0.918 -234.5511 260.5731
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 13.20746 126.3095 0.10 0.917 -234.3547 260.7696
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 13.29233 . . . . .
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | -11.98455 83070.89 -0.00 1.000 -162827.9 162804
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 11.80809 .3535409 33.40 0.000 11.11517 12.50102
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | -27.33025 9.54e+07 -0.00 1.000 -1.87e+08 1.87e+08
--------------------------------------------------------------------------------------------
Class : 4
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | 2.536945 .595396 4.26 0.000 1.369991 3.7039
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -122.0523 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 4.169515 2.467168 1.69 0.091 -.6660455 9.005076
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 6.198358 2.462643 2.52 0.012 1.371666 11.02505
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 6.329978 2.461317 2.57 0.010 1.505885 11.15407
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 6.214913 2.462178 2.52 0.012 1.389133 11.04069
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 4.781037 2.463322 1.94 0.052 -.0469859 9.60906
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.889692 .1099143 17.19 0.000 1.674264 2.10512
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -.7751114 .158607 -4.89 0.000 -1.085975 -.4642475
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 11.71435 17.48979 0.67 0.503 -22.565 45.99371
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 10.17466 17.48996 0.58 0.561 -24.10503 44.45435
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | -49.81399 . . . . .
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.420803 .7114753 6.21 0.000 3.026337 5.815269
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.458741 .7096322 6.28 0.000 3.067887 5.849594
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.092755 .7169489 5.71 0.000 2.687561 5.497949
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.994005 .7214415 4.15 0.000 1.580006 4.408004
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 13.5683 .0963544 140.82 0.000 13.37945 13.75716
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 12.65109 .1151791 109.84 0.000 12.42534 12.87684
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 12.82567 .1062445 120.72 0.000 12.61744 13.03391
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 12.40277 . . . . .
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 12.75419 .107735 118.38 0.000 12.54303 12.96535
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | -24.45151 5061877 -0.00 1.000 -9921121 9921072
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 10.62847 .0812949 130.74 0.000 10.46914 10.78781
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 10.00309 . . . . .
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 6.557429 .307809 21.30 0.000 5.954134 7.160724
--------------------------------------------------------------------------------------------
Class : 5
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -75.3277 . . . . .
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | 4.359409 .6823369 6.39 0.000 3.022053 5.696765
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 5.518181 1.016909 5.43 0.000 3.525076 7.511286
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 5.466051 1.017041 5.37 0.000 3.472687 7.459415
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 5.113369 1.017963 5.02 0.000 3.118197 7.10854
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 4.506345 1.020619 4.42 0.000 2.505969 6.506721
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 2.805878 1.045211 2.68 0.007 .7573024 4.854455
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.700141 .1045976 16.25 0.000 1.495133 1.905148
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -1.22202 .201278 -6.07 0.000 -1.616518 -.8275225
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 22.63721 .0890453 254.22 0.000 22.46269 22.81174
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 21.37643 . . . . .
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.269667 .35599 11.99 0.000 3.57194 4.967395
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.92887 .3628259 8.07 0.000 2.217745 3.639996
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | -210.7159 . . . . .
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | -103.3655 . . . . .
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | -101.7801 . . . . .
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 4.359575 .5041367 8.65 0.000 3.371485 5.347665
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 3.359546 .5095816 6.59 0.000 2.360784 4.358308
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 3.080237 .512391 6.01 0.000 2.075969 4.084505
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 3.196436 .5111989 6.25 0.000 2.194505 4.198367
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 3.450871 .5089789 6.78 0.000 2.453291 4.448451
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 1.954838 .455703 4.29 0.000 1.061676 2.847999
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 4.450053 .4304792 10.34 0.000 3.606329 5.293776
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 3.194361 .4364216 7.32 0.000 2.338991 4.049732
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 2.091384 .452351 4.62 0.000 1.204792 2.977976
--------------------------------------------------------------------------------------------
----------------------------------------------------------------------------
Fit statistic | Value Description
---------------------+------------------------------------------------------
Likelihood ratio |
chi2_ms(29047) | 4293.712 model vs. saturated
p > chi2 | 1.000
---------------------+------------------------------------------------------
Information criteria |
AIC | 54446.121 Akaike's information criterion
BIC | 55144.985 Bayesian information criterion
----------------------------------------------------------------------------
Entropy:
.83291802
(results lca_prueba_c4 are active now)
(results lca_prueba_c5 are active now)
LMR LT test statistic:
366.08397
P value Lo-Mendel:
0.00000000000000000
__00000B = 366.08397
__00000A = 380.89345
__00000D = 11
__00000C = 14
__000009 = 5
__000005 = 112
__000003 = -27111.061
__000008 = 4
__000004 = 94
__000002 = -27301.507
__000001 = 3789
scalars:
r(lmrt_p) = 1.04726665602e-66
r(lmrt) = 366.083971594411
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6783.1201
Iteration 1: (class) log likelihood = -6783.1201
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29719.871
Iteration 1: (outcome) log likelihood = -29242.013
Iteration 2: (outcome) log likelihood = -29131.822
Iteration 3: (outcome) log likelihood = -29115.465
Iteration 4: (outcome) log likelihood = -29111.531
Iteration 5: (outcome) log likelihood = -29110.71
Iteration 6: (outcome) log likelihood = -29110.539
Iteration 7: (outcome) log likelihood = -29110.5
Iteration 8: (outcome) log likelihood = -29110.49
Iteration 9: (outcome) log likelihood = -29110.488
Iteration 10: (outcome) log likelihood = -29110.488
Iteration 11: (outcome) log likelihood = -29110.488
Iteration 12: (outcome) log likelihood = -29110.488
Refining starting values:
Iteration 0: (EM) log likelihood = -35869.746
Iteration 1: (EM) log likelihood = -35777.946
Iteration 2: (EM) log likelihood = -35528.794
Iteration 3: (EM) log likelihood = -34980.603
Iteration 4: (EM) log likelihood = -34034.504
Iteration 5: (EM) log likelihood = -32983.376
Iteration 6: (EM) log likelihood = -32181.652
Iteration 7: (EM) log likelihood = -31577.337
Iteration 8: (EM) log likelihood = -31101.047
Iteration 9: (EM) log likelihood = -30745.871
Iteration 10: (EM) log likelihood = -30483.82
Iteration 11: (EM) log likelihood = -30288.614
Iteration 12: (EM) log likelihood = -30139.356
Iteration 13: (EM) log likelihood = -30020.158
Iteration 14: (EM) log likelihood = -29923.101
Iteration 15: (EM) log likelihood = -29840.417
Iteration 16: (EM) log likelihood = -29767.208
Iteration 17: (EM) log likelihood = -29698.724
Iteration 18: (EM) log likelihood = -29633.68
Iteration 19: (EM) log likelihood = -29570.788
Iteration 20: (EM) log likelihood = -29510.11
Iteration 21: (EM) log likelihood = -29452.845
Iteration 22: (EM) log likelihood = -29399.665
Iteration 23: (EM) log likelihood = -29351.757
Iteration 24: (EM) log likelihood = -29308.535
Iteration 25: (EM) log likelihood = -29269.396
Iteration 26: (EM) log likelihood = -29233.947
Iteration 27: (EM) log likelihood = -29201.89
Iteration 28: (EM) log likelihood = -29172.664
Iteration 29: (EM) log likelihood = -29145.635
Iteration 30: (EM) log likelihood = -29120.623
Iteration 31: (EM) log likelihood = -29097.644
Iteration 32: (EM) log likelihood = -29076.989
Iteration 33: (EM) log likelihood = -29058.175
Iteration 34: (EM) log likelihood = -29041.477
Iteration 35: (EM) log likelihood = -29026.786
Iteration 36: (EM) log likelihood = -29013.944
Iteration 37: (EM) log likelihood = -29002.626
Iteration 38: (EM) log likelihood = -28992.785
Iteration 39: (EM) log likelihood = -28985.15
Iteration 40: (EM) log likelihood = -28977.464
Iteration 41: (EM) log likelihood = -28970.584
Iteration 42: (EM) log likelihood = -28964.232
Iteration 43: (EM) log likelihood = -28958.603
Iteration 44: (EM) log likelihood = -28953.066
Iteration 45: (EM) log likelihood = -28948.232
Iteration 46: (EM) log likelihood = -28942.839
Iteration 47: (EM) log likelihood = -28936.065
Iteration 48: (EM) log likelihood = -28928.243
Iteration 49: (EM) log likelihood = -28921.864
Iteration 50: (EM) log likelihood = -28914.913
Iteration 51: (EM) log likelihood = -28908.117
Iteration 52: (EM) log likelihood = -28901.343
Iteration 53: (EM) log likelihood = -28895.33
Iteration 54: (EM) log likelihood = -28888.905
Iteration 55: (EM) log likelihood = -28884.026
Iteration 56: (EM) log likelihood = -28878.911
Iteration 57: (EM) log likelihood = -28874.424
Iteration 58: (EM) log likelihood = -28870.086
Iteration 59: (EM) log likelihood = -28865.618
Iteration 60: (EM) log likelihood = -28862.311
Iteration 61: (EM) log likelihood = -28858.334
Iteration 62: (EM) log likelihood = -28854.593
Iteration 63: (EM) log likelihood = -28850.707
Iteration 64: (EM) log likelihood = -28847.217
Iteration 65: (EM) log likelihood = -28844.561
Iteration 66: (EM) log likelihood = -28841.272
Iteration 67: (EM) log likelihood = -28838.983
Iteration 68: (EM) log likelihood = -28836.565
Iteration 69: (EM) log likelihood = -28833.903
Iteration 70: (EM) log likelihood = -28831.794
Iteration 71: (EM) log likelihood = -28829.76
Iteration 72: (EM) log likelihood = -28827.73
Iteration 73: (EM) log likelihood = -28825.427
Iteration 74: (EM) log likelihood = -28823.603
Iteration 75: (EM) log likelihood = -28821.65
Iteration 76: (EM) log likelihood = -28818.772
Iteration 77: (EM) log likelihood = -28815.367
Iteration 78: (EM) log likelihood = -28812.427
Iteration 79: (EM) log likelihood = -28807.71
Iteration 80: (EM) log likelihood = -28805.243
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6788.9027
Iteration 1: (class) log likelihood = -6788.9027
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29098.962
Iteration 1: (outcome) log likelihood = -29098.962
Refining starting values:
Iteration 0: (EM) log likelihood = -35876.044
Iteration 1: (EM) log likelihood = -35820.606
Iteration 2: (EM) log likelihood = -35638.245
Iteration 3: (EM) log likelihood = -35140.147
Iteration 4: (EM) log likelihood = -34251.775
Iteration 5: (EM) log likelihood = -33291.15
Iteration 6: (EM) log likelihood = -32480.785
Iteration 7: (EM) log likelihood = -31799.151
Iteration 8: (EM) log likelihood = -31212.751
Iteration 9: (EM) log likelihood = -30766.693
Iteration 10: (EM) log likelihood = -30457.979
Iteration 11: (EM) log likelihood = -30244.958
Iteration 12: (EM) log likelihood = -30089.481
Iteration 13: (EM) log likelihood = -29967.992
Iteration 14: (EM) log likelihood = -29866.017
Iteration 15: (EM) log likelihood = -29775.853
Iteration 16: (EM) log likelihood = -29692.293
Iteration 17: (EM) log likelihood = -29617.869
Iteration 18: (EM) log likelihood = -29550.709
Iteration 19: (EM) log likelihood = -29488.939
Iteration 20: (EM) log likelihood = -29433.058
Iteration 21: (EM) log likelihood = -29381.059
Iteration 22: (EM) log likelihood = -29330.194
Iteration 23: (EM) log likelihood = -29282.6
Iteration 24: (EM) log likelihood = -29234.541
Iteration 25: (EM) log likelihood = -29188.259
Iteration 26: (EM) log likelihood = -29142.329
Iteration 27: (EM) log likelihood = -29097.53
Iteration 28: (EM) log likelihood = -29053.302
Iteration 29: (EM) log likelihood = -29012.283
Iteration 30: (EM) log likelihood = -28974.474
Iteration 31: (EM) log likelihood = -28939.521
Iteration 32: (EM) log likelihood = -28908.11
Iteration 33: (EM) log likelihood = -28875.5
Iteration 34: (EM) log likelihood = -28846.208
Iteration 35: (EM) log likelihood = -28819.922
Iteration 36: (EM) log likelihood = -28794.231
Iteration 37: (EM) log likelihood = -28770.442
Iteration 38: (EM) log likelihood = -28747.672
Iteration 39: (EM) log likelihood = -28727.463
Iteration 40: (EM) log likelihood = -28709.494
Iteration 41: (EM) log likelihood = -28693.379
Iteration 42: (EM) log likelihood = -28678.456
Iteration 43: (EM) log likelihood = -28663.546
Iteration 44: (EM) log likelihood = -28652.087
Iteration 45: (EM) log likelihood = -28640.295
Iteration 46: (EM) log likelihood = -28629.279
Iteration 47: (EM) log likelihood = -28618.152
Iteration 48: (EM) log likelihood = -28608.565
Iteration 49: (EM) log likelihood = -28598.509
Iteration 50: (EM) log likelihood = -28590.383
Iteration 51: (EM) log likelihood = -28582.503
Iteration 52: (EM) log likelihood = -28572.754
Iteration 53: (EM) log likelihood = -28565.384
Iteration 54: (EM) log likelihood = -28558.892
Iteration 55: (EM) log likelihood = -28551.775
Iteration 56: (EM) log likelihood = -28545.785
Iteration 57: (EM) log likelihood = -28539.881
Iteration 58: (EM) log likelihood = -28534.212
Iteration 59: (EM) log likelihood = -28529.629
Iteration 60: (EM) log likelihood = -28517.719
Iteration 61: (EM) log likelihood = -28514.358
Iteration 62: (EM) log likelihood = -28508.148
Iteration 63: (EM) log likelihood = -28503.824
Iteration 64: (EM) log likelihood = -28497.745
Iteration 65: (EM) log likelihood = -28487.157
Iteration 66: (EM) log likelihood = -28482.436
Iteration 67: (EM) log likelihood = -28473.96
Iteration 68: (EM) log likelihood = -28467.19
Iteration 69: (EM) log likelihood = -28462.982
Iteration 70: (EM) log likelihood = -28457.837
Iteration 71: (EM) log likelihood = -28455.505
Iteration 72: (EM) log likelihood = -28450.851
Iteration 73: (EM) log likelihood = -28446.257
Iteration 74: (EM) log likelihood = -28442.892
Iteration 75: (EM) log likelihood = -28440.41
Iteration 76: (EM) log likelihood = -28437.266
Iteration 77: (EM) log likelihood = -28433.719
Iteration 78: (EM) log likelihood = -28431.379
Iteration 79: (EM) log likelihood = -28427.887
Iteration 80: (EM) log likelihood = -28425.609
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.3268
Iteration 1: (class) log likelihood = -6787.3268
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30119.902
Iteration 1: (outcome) log likelihood = -29280.424
Iteration 2: (outcome) log likelihood = -29161.573
Iteration 3: (outcome) log likelihood = -29130.046
Iteration 4: (outcome) log likelihood = -29124.221
Iteration 5: (outcome) log likelihood = -29122.86
Iteration 6: (outcome) log likelihood = -29122.563
Iteration 7: (outcome) log likelihood = -29122.489
Iteration 8: (outcome) log likelihood = -29122.474
Iteration 9: (outcome) log likelihood = -29122.471
Iteration 10: (outcome) log likelihood = -29122.47
Iteration 11: (outcome) log likelihood = -29122.47
Iteration 12: (outcome) log likelihood = -29122.47
Iteration 13: (outcome) log likelihood = -29122.47
Refining starting values:
Iteration 0: (EM) log likelihood = -35896.602
Iteration 1: (EM) log likelihood = -35835.794
Iteration 2: (EM) log likelihood = -35607.631
Iteration 3: (EM) log likelihood = -34907.242
Iteration 4: (EM) log likelihood = -33762.101
Iteration 5: (EM) log likelihood = -32799.711
Iteration 6: (EM) log likelihood = -32118.459
Iteration 7: (EM) log likelihood = -31641.118
Iteration 8: (EM) log likelihood = -31317.126
Iteration 9: (EM) log likelihood = -31085.51
Iteration 10: (EM) log likelihood = -30896.166
Iteration 11: (EM) log likelihood = -30730.321
Iteration 12: (EM) log likelihood = -30573.749
Iteration 13: (EM) log likelihood = -30425.304
Iteration 14: (EM) log likelihood = -30285.738
Iteration 15: (EM) log likelihood = -30157.279
Iteration 16: (EM) log likelihood = -30040.057
Iteration 17: (EM) log likelihood = -29933.867
Iteration 18: (EM) log likelihood = -29837.918
Iteration 19: (EM) log likelihood = -29751.151
Iteration 20: (EM) log likelihood = -29676.654
Iteration 21: (EM) log likelihood = -29615.142
Iteration 22: (EM) log likelihood = -29561.998
Iteration 23: (EM) log likelihood = -29516.616
Iteration 24: (EM) log likelihood = -29475.814
Iteration 25: (EM) log likelihood = -29435.87
Iteration 26: (EM) log likelihood = -29394.849
Iteration 27: (EM) log likelihood = -29352.052
Iteration 28: (EM) log likelihood = -29307.535
Iteration 29: (EM) log likelihood = -29261.896
Iteration 30: (EM) log likelihood = -29215.876
Iteration 31: (EM) log likelihood = -29171.218
Iteration 32: (EM) log likelihood = -29124.658
Iteration 33: (EM) log likelihood = -29082.182
Iteration 34: (EM) log likelihood = -29042.597
Iteration 35: (EM) log likelihood = -29004.724
Iteration 36: (EM) log likelihood = -28968.213
Iteration 37: (EM) log likelihood = -28936.79
Iteration 38: (EM) log likelihood = -28908.17
Iteration 39: (EM) log likelihood = -28879.964
Iteration 40: (EM) log likelihood = -28856.201
Iteration 41: (EM) log likelihood = -28832.453
Iteration 42: (EM) log likelihood = -28811.608
Iteration 43: (EM) log likelihood = -28791.246
Iteration 44: (EM) log likelihood = -28773.031
Iteration 45: (EM) log likelihood = -28757.065
Iteration 46: (EM) log likelihood = -28741.101
Iteration 47: (EM) log likelihood = -28726.559
Iteration 48: (EM) log likelihood = -28712.928
Iteration 49: (EM) log likelihood = -28699.226
Iteration 50: (EM) log likelihood = -28686.5
Iteration 51: (EM) log likelihood = -28675.414
Iteration 52: (EM) log likelihood = -28664.244
Iteration 53: (EM) log likelihood = -28654.075
Iteration 54: (EM) log likelihood = -28643.504
Iteration 55: (EM) log likelihood = -28635.725
Iteration 56: (EM) log likelihood = -28625.755
Iteration 57: (EM) log likelihood = -28615.647
Iteration 58: (EM) log likelihood = -28607.712
Iteration 59: (EM) log likelihood = -28598.643
Iteration 60: (EM) log likelihood = -28591.268
Iteration 61: (EM) log likelihood = -28583.002
Iteration 62: (EM) log likelihood = -28575.282
Iteration 63: (EM) log likelihood = -28567.417
Iteration 64: (EM) log likelihood = -28560.314
Iteration 65: (EM) log likelihood = -28553.128
Iteration 66: (EM) log likelihood = -28546.646
Iteration 67: (EM) log likelihood = -28539.422
Iteration 68: (EM) log likelihood = -28533.024
Iteration 69: (EM) log likelihood = -28526.702
Iteration 70: (EM) log likelihood = -28520.181
Iteration 71: (EM) log likelihood = -28514.083
Iteration 72: (EM) log likelihood = -28507.714
Iteration 73: (EM) log likelihood = -28502.019
Iteration 74: (EM) log likelihood = -28495.716
Iteration 75: (EM) log likelihood = -28489.7
Iteration 76: (EM) log likelihood = -28483.204
Iteration 77: (EM) log likelihood = -28477.071
Iteration 78: (EM) log likelihood = -28469.442
Iteration 79: (EM) log likelihood = -28462.134
Iteration 80: (EM) log likelihood = -28454.476
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6782.0377
Iteration 1: (class) log likelihood = -6782.0377
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29292.241
Iteration 1: (outcome) log likelihood = -29157.615
Iteration 2: (outcome) log likelihood = -29115.474
Iteration 3: (outcome) log likelihood = -29108.033
Iteration 4: (outcome) log likelihood = -29106.57
Iteration 5: (outcome) log likelihood = -29106.26
Iteration 6: (outcome) log likelihood = -29106.188
Iteration 7: (outcome) log likelihood = -29106.171
Iteration 8: (outcome) log likelihood = -29106.168
Iteration 9: (outcome) log likelihood = -29106.167
Iteration 10: (outcome) log likelihood = -29106.167
Iteration 11: (outcome) log likelihood = -29106.167
Refining starting values:
Iteration 0: (EM) log likelihood = -35869.434
Iteration 1: (EM) log likelihood = -35790.147
Iteration 2: (EM) log likelihood = -35504.014
Iteration 3: (EM) log likelihood = -34696.846
Iteration 4: (EM) log likelihood = -33509.082
Iteration 5: (EM) log likelihood = -32587.985
Iteration 6: (EM) log likelihood = -31963.321
Iteration 7: (EM) log likelihood = -31487.412
Iteration 8: (EM) log likelihood = -31084.007
Iteration 9: (EM) log likelihood = -30719.619
Iteration 10: (EM) log likelihood = -30400.908
Iteration 11: (EM) log likelihood = -30152.463
Iteration 12: (EM) log likelihood = -29975.58
Iteration 13: (EM) log likelihood = -29852.594
Iteration 14: (EM) log likelihood = -29766.106
Iteration 15: (EM) log likelihood = -29698.91
Iteration 16: (EM) log likelihood = -29646.586
Iteration 17: (EM) log likelihood = -29602.19
Iteration 18: (EM) log likelihood = -29564.511
Iteration 19: (EM) log likelihood = -29530.069
Iteration 20: (EM) log likelihood = -29502.61
Iteration 21: (EM) log likelihood = -29476.71
Iteration 22: (EM) log likelihood = -29454.945
Iteration 23: (EM) log likelihood = -29435.793
Iteration 24: (EM) log likelihood = -29416.683
Iteration 25: (EM) log likelihood = -29400.623
Iteration 26: (EM) log likelihood = -29385.812
Iteration 27: (EM) log likelihood = -29372.171
Iteration 28: (EM) log likelihood = -29360.303
Iteration 29: (EM) log likelihood = -29348.114
Iteration 30: (EM) log likelihood = -29337.377
Iteration 31: (EM) log likelihood = -29329.158
Iteration 32: (EM) log likelihood = -29319.947
Iteration 33: (EM) log likelihood = -29310.244
Iteration 34: (EM) log likelihood = -29301.451
Iteration 35: (EM) log likelihood = -29293.79
Iteration 36: (EM) log likelihood = -29287.283
Iteration 37: (EM) log likelihood = -29279.61
Iteration 38: (EM) log likelihood = -29273.01
Iteration 39: (EM) log likelihood = -29264.716
Iteration 40: (EM) log likelihood = -29259.744
Iteration 41: (EM) log likelihood = -29254.21
Iteration 42: (EM) log likelihood = -29248.159
Iteration 43: (EM) log likelihood = -29241.377
Iteration 44: (EM) log likelihood = -29234.205
Iteration 45: (EM) log likelihood = -29223.043
Iteration 46: (EM) log likelihood = -29211.015
Iteration 47: (EM) log likelihood = -29198.207
Iteration 48: (EM) log likelihood = -29185.363
Iteration 49: (EM) log likelihood = -29170.446
Iteration 50: (EM) log likelihood = -29154.047
Iteration 51: (EM) log likelihood = -29135.788
Iteration 52: (EM) log likelihood = -29117.233
Iteration 53: (EM) log likelihood = -29098.609
Iteration 54: (EM) log likelihood = -29077.27
Iteration 55: (EM) log likelihood = -29055.376
Iteration 56: (EM) log likelihood = -29033.992
Iteration 57: (EM) log likelihood = -29008.616
Iteration 58: (EM) log likelihood = -28981.897
Iteration 59: (EM) log likelihood = -28956.144
Iteration 60: (EM) log likelihood = -28928.549
Iteration 61: (EM) log likelihood = -28899.324
Iteration 62: (EM) log likelihood = -28867.939
Iteration 63: (EM) log likelihood = -28836.276
Iteration 64: (EM) log likelihood = -28803.681
Iteration 65: (EM) log likelihood = -28771.718
Iteration 66: (EM) log likelihood = -28742.249
Iteration 67: (EM) log likelihood = -28712.553
Iteration 68: (EM) log likelihood = -28683.543
Iteration 69: (EM) log likelihood = -28658.458
Iteration 70: (EM) log likelihood = -28634.116
Iteration 71: (EM) log likelihood = -28610.475
Iteration 72: (EM) log likelihood = -28589.009
Iteration 73: (EM) log likelihood = -28568.966
Iteration 74: (EM) log likelihood = -28548.455
Iteration 75: (EM) log likelihood = -28528.249
Iteration 76: (EM) log likelihood = -28511.893
Iteration 77: (EM) log likelihood = -28496.445
Iteration 78: (EM) log likelihood = -28480.75
Iteration 79: (EM) log likelihood = -28466.107
Iteration 80: (EM) log likelihood = -28452.614
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.8877
Iteration 1: (class) log likelihood = -6787.8877
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29686.342
Iteration 1: (outcome) log likelihood = -29239.85
Iteration 2: (outcome) log likelihood = -29136.694
Iteration 3: (outcome) log likelihood = -29120.407
Iteration 4: (outcome) log likelihood = -29117.218
Iteration 5: (outcome) log likelihood = -29116.514
Iteration 6: (outcome) log likelihood = -29116.357
Iteration 7: (outcome) log likelihood = -29116.318
Iteration 8: (outcome) log likelihood = -29116.31
Iteration 9: (outcome) log likelihood = -29116.309
Iteration 10: (outcome) log likelihood = -29116.309
Iteration 11: (outcome) log likelihood = -29116.309
Iteration 12: (outcome) log likelihood = -29116.309
Refining starting values:
Iteration 0: (EM) log likelihood = -35875.664
Iteration 1: (EM) log likelihood = -35757.854
Iteration 2: (EM) log likelihood = -35344.208
Iteration 3: (EM) log likelihood = -34382.794
Iteration 4: (EM) log likelihood = -33283.087
Iteration 5: (EM) log likelihood = -32495.339
Iteration 6: (EM) log likelihood = -31948.186
Iteration 7: (EM) log likelihood = -31552.348
Iteration 8: (EM) log likelihood = -31249.798
Iteration 9: (EM) log likelihood = -30995.825
Iteration 10: (EM) log likelihood = -30772.608
Iteration 11: (EM) log likelihood = -30579.017
Iteration 12: (EM) log likelihood = -30409.637
Iteration 13: (EM) log likelihood = -30263.015
Iteration 14: (EM) log likelihood = -30130.412
Iteration 15: (EM) log likelihood = -30007.023
Iteration 16: (EM) log likelihood = -29891.365
Iteration 17: (EM) log likelihood = -29789.111
Iteration 18: (EM) log likelihood = -29705.141
Iteration 19: (EM) log likelihood = -29636.039
Iteration 20: (EM) log likelihood = -29579.85
Iteration 21: (EM) log likelihood = -29534.553
Iteration 22: (EM) log likelihood = -29495.867
Iteration 23: (EM) log likelihood = -29464.372
Iteration 24: (EM) log likelihood = -29432.88
Iteration 25: (EM) log likelihood = -29406.463
Iteration 26: (EM) log likelihood = -29382.238
Iteration 27: (EM) log likelihood = -29359.772
Iteration 28: (EM) log likelihood = -29339.815
Iteration 29: (EM) log likelihood = -29320.309
Iteration 30: (EM) log likelihood = -29304.456
Iteration 31: (EM) log likelihood = -29288.556
Iteration 32: (EM) log likelihood = -29273.35
Iteration 33: (EM) log likelihood = -29258.807
Iteration 34: (EM) log likelihood = -29247.478
Iteration 35: (EM) log likelihood = -29234.787
Iteration 36: (EM) log likelihood = -29223.933
Iteration 37: (EM) log likelihood = -29212.411
Iteration 38: (EM) log likelihood = -29201.709
Iteration 39: (EM) log likelihood = -29191.87
Iteration 40: (EM) log likelihood = -29182.148
Iteration 41: (EM) log likelihood = -29172.576
Iteration 42: (EM) log likelihood = -29163.868
Iteration 43: (EM) log likelihood = -29155.558
Iteration 44: (EM) log likelihood = -29148.215
Iteration 45: (EM) log likelihood = -29140.382
Iteration 46: (EM) log likelihood = -29132.809
Iteration 47: (EM) log likelihood = -29126.708
Iteration 48: (EM) log likelihood = -29120.705
Iteration 49: (EM) log likelihood = -29115.091
Iteration 50: (EM) log likelihood = -29109.271
Iteration 51: (EM) log likelihood = -29103.309
Iteration 52: (EM) log likelihood = -29097.293
Iteration 53: (EM) log likelihood = -29091.131
Iteration 54: (EM) log likelihood = -29087.144
Iteration 55: (EM) log likelihood = -29081.827
Iteration 56: (EM) log likelihood = -29077.697
Iteration 57: (EM) log likelihood = -29073.261
Iteration 58: (EM) log likelihood = -29070.054
Iteration 59: (EM) log likelihood = -29066.904
Iteration 60: (EM) log likelihood = -29064.144
Iteration 61: (EM) log likelihood = -29061.923
Iteration 62: (EM) log likelihood = -29059.171
Iteration 63: (EM) log likelihood = -29057.435
Iteration 64: (EM) log likelihood = -29055.226
Iteration 65: (EM) log likelihood = -29052.972
Iteration 66: (EM) log likelihood = -29051.494
Iteration 67: (EM) log likelihood = -29049.626
Iteration 68: (EM) log likelihood = -29048.283
Iteration 69: (EM) log likelihood = -29046.539
Iteration 70: (EM) log likelihood = -29045.05
Iteration 71: (EM) log likelihood = -29044.229
Iteration 72: (EM) log likelihood = -29043.018
Iteration 73: (EM) log likelihood = -29042.426
Iteration 74: (EM) log likelihood = -29041.683
Iteration 75: (EM) log likelihood = -29041.131
Iteration 76: (EM) log likelihood = -29040.689
Iteration 77: (EM) log likelihood = -29040.16
Iteration 78: (EM) log likelihood = -29039.472
Iteration 79: (EM) log likelihood = -29038.542
Iteration 80: (EM) log likelihood = -29037.368
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6788.516
Iteration 1: (class) log likelihood = -6788.516
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29484.014
Iteration 1: (outcome) log likelihood = -29164.04
Iteration 2: (outcome) log likelihood = -29124.791
Iteration 3: (outcome) log likelihood = -29113.368
Iteration 4: (outcome) log likelihood = -29110.802
Iteration 5: (outcome) log likelihood = -29110.274
Iteration 6: (outcome) log likelihood = -29110.166
Iteration 7: (outcome) log likelihood = -29110.14
Iteration 8: (outcome) log likelihood = -29110.135
Iteration 9: (outcome) log likelihood = -29110.133
Iteration 10: (outcome) log likelihood = -29110.133
Iteration 11: (outcome) log likelihood = -29110.133
Refining starting values:
Iteration 0: (EM) log likelihood = -35863.106
Iteration 1: (EM) log likelihood = -35732.651
Iteration 2: (EM) log likelihood = -35364.591
Iteration 3: (EM) log likelihood = -34597.715
Iteration 4: (EM) log likelihood = -33488.021
Iteration 5: (EM) log likelihood = -32396.917
Iteration 6: (EM) log likelihood = -31586.412
Iteration 7: (EM) log likelihood = -31050.322
Iteration 8: (EM) log likelihood = -30691.772
Iteration 9: (EM) log likelihood = -30434.651
Iteration 10: (EM) log likelihood = -30234.63
Iteration 11: (EM) log likelihood = -30071.388
Iteration 12: (EM) log likelihood = -29934.927
Iteration 13: (EM) log likelihood = -29822.794
Iteration 14: (EM) log likelihood = -29729.791
Iteration 15: (EM) log likelihood = -29652.828
Iteration 16: (EM) log likelihood = -29590.134
Iteration 17: (EM) log likelihood = -29534.565
Iteration 18: (EM) log likelihood = -29488.393
Iteration 19: (EM) log likelihood = -29446.301
Iteration 20: (EM) log likelihood = -29405.249
Iteration 21: (EM) log likelihood = -29364.508
Iteration 22: (EM) log likelihood = -29323.427
Iteration 23: (EM) log likelihood = -29281.793
Iteration 24: (EM) log likelihood = -29239.347
Iteration 25: (EM) log likelihood = -29197.246
Iteration 26: (EM) log likelihood = -29156.471
Iteration 27: (EM) log likelihood = -29117.901
Iteration 28: (EM) log likelihood = -29081.311
Iteration 29: (EM) log likelihood = -29047.921
Iteration 30: (EM) log likelihood = -29015.58
Iteration 31: (EM) log likelihood = -28986.75
Iteration 32: (EM) log likelihood = -28960.632
Iteration 33: (EM) log likelihood = -28935.405
Iteration 34: (EM) log likelihood = -28910.537
Iteration 35: (EM) log likelihood = -28888.084
Iteration 36: (EM) log likelihood = -28866.564
Iteration 37: (EM) log likelihood = -28846.926
Iteration 38: (EM) log likelihood = -28827.757
Iteration 39: (EM) log likelihood = -28809.296
Iteration 40: (EM) log likelihood = -28794.759
Iteration 41: (EM) log likelihood = -28776.841
Iteration 42: (EM) log likelihood = -28759.744
Iteration 43: (EM) log likelihood = -28742.856
Iteration 44: (EM) log likelihood = -28727.514
Iteration 45: (EM) log likelihood = -28710.805
Iteration 46: (EM) log likelihood = -28695.915
Iteration 47: (EM) log likelihood = -28681.875
Iteration 48: (EM) log likelihood = -28668.632
Iteration 49: (EM) log likelihood = -28654.466
Iteration 50: (EM) log likelihood = -28641.78
Iteration 51: (EM) log likelihood = -28629.14
Iteration 52: (EM) log likelihood = -28616.514
Iteration 53: (EM) log likelihood = -28604.236
Iteration 54: (EM) log likelihood = -28592.224
Iteration 55: (EM) log likelihood = -28580.463
Iteration 56: (EM) log likelihood = -28568.951
Iteration 57: (EM) log likelihood = -28557.697
Iteration 58: (EM) log likelihood = -28546.608
Iteration 59: (EM) log likelihood = -28535.915
Iteration 60: (EM) log likelihood = -28525.432
Iteration 61: (EM) log likelihood = -28515.359
Iteration 62: (EM) log likelihood = -28505.757
Iteration 63: (EM) log likelihood = -28496.364
Iteration 64: (EM) log likelihood = -28487.298
Iteration 65: (EM) log likelihood = -28478.717
Iteration 66: (EM) log likelihood = -28469.661
Iteration 67: (EM) log likelihood = -28457.858
Iteration 68: (EM) log likelihood = -28448.029
Iteration 69: (EM) log likelihood = -28439.138
Iteration 70: (EM) log likelihood = -28432.218
Iteration 71: (EM) log likelihood = -28425.43
Iteration 72: (EM) log likelihood = -28418.894
Iteration 73: (EM) log likelihood = -28415.127
Iteration 74: (EM) log likelihood = -28409.873
Iteration 75: (EM) log likelihood = -28404.982
Iteration 76: (EM) log likelihood = -28399.833
Iteration 77: (EM) log likelihood = -28396.299
Iteration 78: (EM) log likelihood = -28392.821
Iteration 79: (EM) log likelihood = -28387.338
Iteration 80: (EM) log likelihood = -28380.696
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6785.8323
Iteration 1: (class) log likelihood = -6785.8323
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29305.944
Iteration 1: (outcome) log likelihood = -29163.675
Iteration 2: (outcome) log likelihood = -29118.778
Iteration 3: (outcome) log likelihood = -29111.934
Iteration 4: (outcome) log likelihood = -29110.274
Iteration 5: (outcome) log likelihood = -29109.949
Iteration 6: (outcome) log likelihood = -29109.897
Iteration 7: (outcome) log likelihood = -29109.884
Iteration 8: (outcome) log likelihood = -29109.882
Iteration 9: (outcome) log likelihood = -29109.881
Iteration 10: (outcome) log likelihood = -29109.881
Iteration 11: (outcome) log likelihood = -29109.881
Refining starting values:
Iteration 0: (EM) log likelihood = -35871.95
Iteration 1: (EM) log likelihood = -35781.983
Iteration 2: (EM) log likelihood = -35501.947
Iteration 3: (EM) log likelihood = -34795.44
Iteration 4: (EM) log likelihood = -33761.109
Iteration 5: (EM) log likelihood = -32864.991
Iteration 6: (EM) log likelihood = -32175.311
Iteration 7: (EM) log likelihood = -31670.74
Iteration 8: (EM) log likelihood = -31316.822
Iteration 9: (EM) log likelihood = -31040.151
Iteration 10: (EM) log likelihood = -30788.08
Iteration 11: (EM) log likelihood = -30539.339
Iteration 12: (EM) log likelihood = -30311.905
Iteration 13: (EM) log likelihood = -30133.837
Iteration 14: (EM) log likelihood = -30003.677
Iteration 15: (EM) log likelihood = -29909.241
Iteration 16: (EM) log likelihood = -29839.827
Iteration 17: (EM) log likelihood = -29782.582
Iteration 18: (EM) log likelihood = -29730.174
Iteration 19: (EM) log likelihood = -29679.297
Iteration 20: (EM) log likelihood = -29628.311
Iteration 21: (EM) log likelihood = -29577.107
Iteration 22: (EM) log likelihood = -29527.58
Iteration 23: (EM) log likelihood = -29479.265
Iteration 24: (EM) log likelihood = -29433.072
Iteration 25: (EM) log likelihood = -29387.769
Iteration 26: (EM) log likelihood = -29346.449
Iteration 27: (EM) log likelihood = -29306.552
Iteration 28: (EM) log likelihood = -29266.642
Iteration 29: (EM) log likelihood = -29229.172
Iteration 30: (EM) log likelihood = -29191.61
Iteration 31: (EM) log likelihood = -29156.307
Iteration 32: (EM) log likelihood = -29121.991
Iteration 33: (EM) log likelihood = -29089.27
Iteration 34: (EM) log likelihood = -29057.506
Iteration 35: (EM) log likelihood = -29025.413
Iteration 36: (EM) log likelihood = -28993.099
Iteration 37: (EM) log likelihood = -28961.998
Iteration 38: (EM) log likelihood = -28931.488
Iteration 39: (EM) log likelihood = -28902.315
Iteration 40: (EM) log likelihood = -28875.044
Iteration 41: (EM) log likelihood = -28848.178
Iteration 42: (EM) log likelihood = -28823.165
Iteration 43: (EM) log likelihood = -28800.027
Iteration 44: (EM) log likelihood = -28777.841
Iteration 45: (EM) log likelihood = -28755.404
Iteration 46: (EM) log likelihood = -28734.392
Iteration 47: (EM) log likelihood = -28713.525
Iteration 48: (EM) log likelihood = -28694.811
Iteration 49: (EM) log likelihood = -28674.869
Iteration 50: (EM) log likelihood = -28655.716
Iteration 51: (EM) log likelihood = -28638.224
Iteration 52: (EM) log likelihood = -28619.521
Iteration 53: (EM) log likelihood = -28602.452
Iteration 54: (EM) log likelihood = -28585.786
Iteration 55: (EM) log likelihood = -28568.952
Iteration 56: (EM) log likelihood = -28550.997
Iteration 57: (EM) log likelihood = -28536.3
Iteration 58: (EM) log likelihood = -28521.751
Iteration 59: (EM) log likelihood = -28506.683
Iteration 60: (EM) log likelihood = -28493.519
Iteration 61: (EM) log likelihood = -28480.285
Iteration 62: (EM) log likelihood = -28467.241
Iteration 63: (EM) log likelihood = -28456.394
Iteration 64: (EM) log likelihood = -28446.471
Iteration 65: (EM) log likelihood = -28436.762
Iteration 66: (EM) log likelihood = -28428.065
Iteration 67: (EM) log likelihood = -28418.586
Iteration 68: (EM) log likelihood = -28410.791
Iteration 69: (EM) log likelihood = -28403.567
Iteration 70: (EM) log likelihood = -28396.922
Iteration 71: (EM) log likelihood = -28390.472
Iteration 72: (EM) log likelihood = -28384.656
Iteration 73: (EM) log likelihood = -28376.354
Iteration 74: (EM) log likelihood = -28369.567
Iteration 75: (EM) log likelihood = -28365.124
Iteration 76: (EM) log likelihood = -28360.189
Iteration 77: (EM) log likelihood = -28354.536
Iteration 78: (EM) log likelihood = -28348.624
Iteration 79: (EM) log likelihood = -28344.131
Iteration 80: (EM) log likelihood = -28340.004
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.5473
Iteration 1: (class) log likelihood = -6787.5473
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29550.993
Iteration 1: (outcome) log likelihood = -29203.098
Iteration 2: (outcome) log likelihood = -29133.969
Iteration 3: (outcome) log likelihood = -29118.626
Iteration 4: (outcome) log likelihood = -29115.924
Iteration 5: (outcome) log likelihood = -29115.325
Iteration 6: (outcome) log likelihood = -29115.177
Iteration 7: (outcome) log likelihood = -29115.147
Iteration 8: (outcome) log likelihood = -29115.14
Iteration 9: (outcome) log likelihood = -29115.139
Iteration 10: (outcome) log likelihood = -29115.138
Iteration 11: (outcome) log likelihood = -29115.138
Iteration 12: (outcome) log likelihood = -29115.138
Refining starting values:
Iteration 0: (EM) log likelihood = -35877.275
Iteration 1: (EM) log likelihood = -35767.25
Iteration 2: (EM) log likelihood = -35405.457
Iteration 3: (EM) log likelihood = -34547.808
Iteration 4: (EM) log likelihood = -33435.799
Iteration 5: (EM) log likelihood = -32589.423
Iteration 6: (EM) log likelihood = -32033.383
Iteration 7: (EM) log likelihood = -31651.91
Iteration 8: (EM) log likelihood = -31359.062
Iteration 9: (EM) log likelihood = -31112.434
Iteration 10: (EM) log likelihood = -30892.762
Iteration 11: (EM) log likelihood = -30696.006
Iteration 12: (EM) log likelihood = -30520.599
Iteration 13: (EM) log likelihood = -30367.387
Iteration 14: (EM) log likelihood = -30226.584
Iteration 15: (EM) log likelihood = -30089.761
Iteration 16: (EM) log likelihood = -29959.117
Iteration 17: (EM) log likelihood = -29842.827
Iteration 18: (EM) log likelihood = -29746.699
Iteration 19: (EM) log likelihood = -29667.019
Iteration 20: (EM) log likelihood = -29603.367
Iteration 21: (EM) log likelihood = -29549.68
Iteration 22: (EM) log likelihood = -29502.413
Iteration 23: (EM) log likelihood = -29463.454
Iteration 24: (EM) log likelihood = -29430.055
Iteration 25: (EM) log likelihood = -29400.829
Iteration 26: (EM) log likelihood = -29375.987
Iteration 27: (EM) log likelihood = -29353.4
Iteration 28: (EM) log likelihood = -29332.876
Iteration 29: (EM) log likelihood = -29314.531
Iteration 30: (EM) log likelihood = -29296.933
Iteration 31: (EM) log likelihood = -29279.917
Iteration 32: (EM) log likelihood = -29262.424
Iteration 33: (EM) log likelihood = -29245.73
Iteration 34: (EM) log likelihood = -29228.738
Iteration 35: (EM) log likelihood = -29211.861
Iteration 36: (EM) log likelihood = -29192.68
Iteration 37: (EM) log likelihood = -29173.954
Iteration 38: (EM) log likelihood = -29153.741
Iteration 39: (EM) log likelihood = -29132.038
Iteration 40: (EM) log likelihood = -29109.647
Iteration 41: (EM) log likelihood = -29085.494
Iteration 42: (EM) log likelihood = -29059.006
Iteration 43: (EM) log likelihood = -29031.894
Iteration 44: (EM) log likelihood = -29004.356
Iteration 45: (EM) log likelihood = -28976.91
Iteration 46: (EM) log likelihood = -28949.792
Iteration 47: (EM) log likelihood = -28923.7
Iteration 48: (EM) log likelihood = -28901.088
Iteration 49: (EM) log likelihood = -28879.593
Iteration 50: (EM) log likelihood = -28859.821
Iteration 51: (EM) log likelihood = -28841.506
Iteration 52: (EM) log likelihood = -28826.048
Iteration 53: (EM) log likelihood = -28812.219
Iteration 54: (EM) log likelihood = -28799.469
Iteration 55: (EM) log likelihood = -28787.309
Iteration 56: (EM) log likelihood = -28774.864
Iteration 57: (EM) log likelihood = -28763.646
Iteration 58: (EM) log likelihood = -28752.321
Iteration 59: (EM) log likelihood = -28740.082
Iteration 60: (EM) log likelihood = -28727.187
Iteration 61: (EM) log likelihood = -28714.714
Iteration 62: (EM) log likelihood = -28700.856
Iteration 63: (EM) log likelihood = -28687.126
Iteration 64: (EM) log likelihood = -28671.811
Iteration 65: (EM) log likelihood = -28655.584
Iteration 66: (EM) log likelihood = -28639.198
Iteration 67: (EM) log likelihood = -28621.3
Iteration 68: (EM) log likelihood = -28603.543
Iteration 69: (EM) log likelihood = -28585.452
Iteration 70: (EM) log likelihood = -28567.909
Iteration 71: (EM) log likelihood = -28548.867
Iteration 72: (EM) log likelihood = -28531.529
Iteration 73: (EM) log likelihood = -28514.426
Iteration 74: (EM) log likelihood = -28496.78
Iteration 75: (EM) log likelihood = -28481.97
Iteration 76: (EM) log likelihood = -28465.952
Iteration 77: (EM) log likelihood = -28450.768
Iteration 78: (EM) log likelihood = -28438.54
Iteration 79: (EM) log likelihood = -28423.269
Iteration 80: (EM) log likelihood = -28411.589
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6786.269
Iteration 1: (class) log likelihood = -6786.269
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29118.688
Iteration 1: (outcome) log likelihood = -29118.688
Refining starting values:
Iteration 0: (EM) log likelihood = -35884.821
Iteration 1: (EM) log likelihood = -35809.636
Iteration 2: (EM) log likelihood = -35597.811
Iteration 3: (EM) log likelihood = -35132.568
Iteration 4: (EM) log likelihood = -34364.372
Iteration 5: (EM) log likelihood = -33424.418
Iteration 6: (EM) log likelihood = -32542.265
Iteration 7: (EM) log likelihood = -31809.409
Iteration 8: (EM) log likelihood = -31198.979
Iteration 9: (EM) log likelihood = -30728.847
Iteration 10: (EM) log likelihood = -30416.819
Iteration 11: (EM) log likelihood = -30213.934
Iteration 12: (EM) log likelihood = -30071.748
Iteration 13: (EM) log likelihood = -29962.721
Iteration 14: (EM) log likelihood = -29875.473
Iteration 15: (EM) log likelihood = -29804.291
Iteration 16: (EM) log likelihood = -29746.528
Iteration 17: (EM) log likelihood = -29698.733
Iteration 18: (EM) log likelihood = -29658.603
Iteration 19: (EM) log likelihood = -29624.046
Iteration 20: (EM) log likelihood = -29593.395
Iteration 21: (EM) log likelihood = -29565.711
Iteration 22: (EM) log likelihood = -29540.293
Iteration 23: (EM) log likelihood = -29516.013
Iteration 24: (EM) log likelihood = -29492.913
Iteration 25: (EM) log likelihood = -29470.538
Iteration 26: (EM) log likelihood = -29449.56
Iteration 27: (EM) log likelihood = -29427.983
Iteration 28: (EM) log likelihood = -29407.524
Iteration 29: (EM) log likelihood = -29387.606
Iteration 30: (EM) log likelihood = -29368.562
Iteration 31: (EM) log likelihood = -29350.453
Iteration 32: (EM) log likelihood = -29333.233
Iteration 33: (EM) log likelihood = -29316.992
Iteration 34: (EM) log likelihood = -29301.636
Iteration 35: (EM) log likelihood = -29286.656
Iteration 36: (EM) log likelihood = -29272.886
Iteration 37: (EM) log likelihood = -29259.797
Iteration 38: (EM) log likelihood = -29248.188
Iteration 39: (EM) log likelihood = -29237.723
Iteration 40: (EM) log likelihood = -29227.797
Iteration 41: (EM) log likelihood = -29219.366
Iteration 42: (EM) log likelihood = -29211.265
Iteration 43: (EM) log likelihood = -29203.698
Iteration 44: (EM) log likelihood = -29196.449
Iteration 45: (EM) log likelihood = -29189.7
Iteration 46: (EM) log likelihood = -29184.056
Iteration 47: (EM) log likelihood = -29178.474
Iteration 48: (EM) log likelihood = -29173.407
Iteration 49: (EM) log likelihood = -29168.814
Iteration 50: (EM) log likelihood = -29164.606
Iteration 51: (EM) log likelihood = -29160.654
Iteration 52: (EM) log likelihood = -29157.001
Iteration 53: (EM) log likelihood = -29153.621
Iteration 54: (EM) log likelihood = -29150.264
Iteration 55: (EM) log likelihood = -29146.943
Iteration 56: (EM) log likelihood = -29143.795
Iteration 57: (EM) log likelihood = -29140.949
Iteration 58: (EM) log likelihood = -29138.349
Iteration 59: (EM) log likelihood = -29135.844
Iteration 60: (EM) log likelihood = -29133.518
Iteration 61: (EM) log likelihood = -29131.191
Iteration 62: (EM) log likelihood = -29128.794
Iteration 63: (EM) log likelihood = -29125.063
Iteration 64: (EM) log likelihood = -29122.886
Iteration 65: (EM) log likelihood = -29120.257
Iteration 66: (EM) log likelihood = -29117.543
Iteration 67: (EM) log likelihood = -29114.685
Iteration 68: (EM) log likelihood = -29111.315
Iteration 69: (EM) log likelihood = -29107.747
Iteration 70: (EM) log likelihood = -29104.484
Iteration 71: (EM) log likelihood = -29100.186
Iteration 72: (EM) log likelihood = -29095.65
Iteration 73: (EM) log likelihood = -29091.313
Iteration 74: (EM) log likelihood = -29086.411
Iteration 75: (EM) log likelihood = -29081.972
Iteration 76: (EM) log likelihood = -29076.489
Iteration 77: (EM) log likelihood = -29071.81
Iteration 78: (EM) log likelihood = -29067.412
Iteration 79: (EM) log likelihood = -29062.031
Iteration 80: (EM) log likelihood = -29055.868
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.3928
Iteration 1: (class) log likelihood = -6787.3928
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29863.631
Iteration 1: (outcome) log likelihood = -29237.717
Iteration 2: (outcome) log likelihood = -29145.23
Iteration 3: (outcome) log likelihood = -29123.394
Iteration 4: (outcome) log likelihood = -29119.181
Iteration 5: (outcome) log likelihood = -29118.239
Iteration 6: (outcome) log likelihood = -29118.031
Iteration 7: (outcome) log likelihood = -29117.979
Iteration 8: (outcome) log likelihood = -29117.969
Iteration 9: (outcome) log likelihood = -29117.967
Iteration 10: (outcome) log likelihood = -29117.966
Iteration 11: (outcome) log likelihood = -29117.966
Iteration 12: (outcome) log likelihood = -29117.966
Refining starting values:
Iteration 0: (EM) log likelihood = -35883.144
Iteration 1: (EM) log likelihood = -35807.465
Iteration 2: (EM) log likelihood = -35570.108
Iteration 3: (EM) log likelihood = -34982.396
Iteration 4: (EM) log likelihood = -34090.636
Iteration 5: (EM) log likelihood = -33206.538
Iteration 6: (EM) log likelihood = -32434.523
Iteration 7: (EM) log likelihood = -31758.203
Iteration 8: (EM) log likelihood = -31206.199
Iteration 9: (EM) log likelihood = -30789.089
Iteration 10: (EM) log likelihood = -30486.187
Iteration 11: (EM) log likelihood = -30265.483
Iteration 12: (EM) log likelihood = -30098.643
Iteration 13: (EM) log likelihood = -29965.491
Iteration 14: (EM) log likelihood = -29853.256
Iteration 15: (EM) log likelihood = -29752.041
Iteration 16: (EM) log likelihood = -29659.855
Iteration 17: (EM) log likelihood = -29580.527
Iteration 18: (EM) log likelihood = -29516.957
Iteration 19: (EM) log likelihood = -29470.031
Iteration 20: (EM) log likelihood = -29434.682
Iteration 21: (EM) log likelihood = -29407.439
Iteration 22: (EM) log likelihood = -29386.877
Iteration 23: (EM) log likelihood = -29369.535
Iteration 24: (EM) log likelihood = -29355.01
Iteration 25: (EM) log likelihood = -29342.079
Iteration 26: (EM) log likelihood = -29330.171
Iteration 27: (EM) log likelihood = -29319.05
Iteration 28: (EM) log likelihood = -29307.73
Iteration 29: (EM) log likelihood = -29296.698
Iteration 30: (EM) log likelihood = -29285.17
Iteration 31: (EM) log likelihood = -29272.392
Iteration 32: (EM) log likelihood = -29259.029
Iteration 33: (EM) log likelihood = -29244.644
Iteration 34: (EM) log likelihood = -29230.731
Iteration 35: (EM) log likelihood = -29214.893
Iteration 36: (EM) log likelihood = -29198.423
Iteration 37: (EM) log likelihood = -29180.937
Iteration 38: (EM) log likelihood = -29162.547
Iteration 39: (EM) log likelihood = -29143.71
Iteration 40: (EM) log likelihood = -29124.457
Iteration 41: (EM) log likelihood = -29104.267
Iteration 42: (EM) log likelihood = -29083.171
Iteration 43: (EM) log likelihood = -29062.484
Iteration 44: (EM) log likelihood = -29041.85
Iteration 45: (EM) log likelihood = -29020.824
Iteration 46: (EM) log likelihood = -28999.468
Iteration 47: (EM) log likelihood = -28980.362
Iteration 48: (EM) log likelihood = -28960.044
Iteration 49: (EM) log likelihood = -28940.974
Iteration 50: (EM) log likelihood = -28923.071
Iteration 51: (EM) log likelihood = -28906.541
Iteration 52: (EM) log likelihood = -28891.114
Iteration 53: (EM) log likelihood = -28877.232
Iteration 54: (EM) log likelihood = -28864.446
Iteration 55: (EM) log likelihood = -28853.056
Iteration 56: (EM) log likelihood = -28842.506
Iteration 57: (EM) log likelihood = -28833.716
Iteration 58: (EM) log likelihood = -28825.35
Iteration 59: (EM) log likelihood = -28816.271
Iteration 60: (EM) log likelihood = -28805.823
Iteration 61: (EM) log likelihood = -28797.402
Iteration 62: (EM) log likelihood = -28789.186
Iteration 63: (EM) log likelihood = -28781.969
Iteration 64: (EM) log likelihood = -28776.036
Iteration 65: (EM) log likelihood = -28770.588
Iteration 66: (EM) log likelihood = -28765.689
Iteration 67: (EM) log likelihood = -28761.153
Iteration 68: (EM) log likelihood = -28757.174
Iteration 69: (EM) log likelihood = -28753.258
Iteration 70: (EM) log likelihood = -28749.656
Iteration 71: (EM) log likelihood = -28746.271
Iteration 72: (EM) log likelihood = -28743.085
Iteration 73: (EM) log likelihood = -28739.983
Iteration 74: (EM) log likelihood = -28736.919
Iteration 75: (EM) log likelihood = -28733.774
Iteration 76: (EM) log likelihood = -28730.758
Iteration 77: (EM) log likelihood = -28727.076
Iteration 78: (EM) log likelihood = -28723.079
Iteration 79: (EM) log likelihood = -28718.413
Iteration 80: (EM) log likelihood = -28713.652
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6784.671
Iteration 1: (class) log likelihood = -6784.671
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29118.689
Iteration 1: (outcome) log likelihood = -29118.689
Refining starting values:
Iteration 0: (EM) log likelihood = -35877.875
Iteration 1: (EM) log likelihood = -35775.305
Iteration 2: (EM) log likelihood = -35414.321
Iteration 3: (EM) log likelihood = -34462.712
Iteration 4: (EM) log likelihood = -33156.41
Iteration 5: (EM) log likelihood = -32144.162
Iteration 6: (EM) log likelihood = -31467.651
Iteration 7: (EM) log likelihood = -31016.002
Iteration 8: (EM) log likelihood = -30701.063
Iteration 9: (EM) log likelihood = -30463.47
Iteration 10: (EM) log likelihood = -30270.002
Iteration 11: (EM) log likelihood = -30100.073
Iteration 12: (EM) log likelihood = -29951.417
Iteration 13: (EM) log likelihood = -29825.029
Iteration 14: (EM) log likelihood = -29720.996
Iteration 15: (EM) log likelihood = -29636.406
Iteration 16: (EM) log likelihood = -29566.894
Iteration 17: (EM) log likelihood = -29510.899
Iteration 18: (EM) log likelihood = -29465.157
Iteration 19: (EM) log likelihood = -29427.475
Iteration 20: (EM) log likelihood = -29397.439
Iteration 21: (EM) log likelihood = -29371.603
Iteration 22: (EM) log likelihood = -29350.306
Iteration 23: (EM) log likelihood = -29331.624
Iteration 24: (EM) log likelihood = -29315.795
Iteration 25: (EM) log likelihood = -29302.072
Iteration 26: (EM) log likelihood = -29290.226
Iteration 27: (EM) log likelihood = -29278.563
Iteration 28: (EM) log likelihood = -29268.336
Iteration 29: (EM) log likelihood = -29259.085
Iteration 30: (EM) log likelihood = -29250.341
Iteration 31: (EM) log likelihood = -29242.2
Iteration 32: (EM) log likelihood = -29235.043
Iteration 33: (EM) log likelihood = -29228.195
Iteration 34: (EM) log likelihood = -29221.409
Iteration 35: (EM) log likelihood = -29214.916
Iteration 36: (EM) log likelihood = -29208.74
Iteration 37: (EM) log likelihood = -29203.216
Iteration 38: (EM) log likelihood = -29198.093
Iteration 39: (EM) log likelihood = -29192.298
Iteration 40: (EM) log likelihood = -29186.659
Iteration 41: (EM) log likelihood = -29181.341
Iteration 42: (EM) log likelihood = -29176.322
Iteration 43: (EM) log likelihood = -29170.959
Iteration 44: (EM) log likelihood = -29165.866
Iteration 45: (EM) log likelihood = -29160.728
Iteration 46: (EM) log likelihood = -29155.891
Iteration 47: (EM) log likelihood = -29151.044
Iteration 48: (EM) log likelihood = -29146.616
Iteration 49: (EM) log likelihood = -29141.233
Iteration 50: (EM) log likelihood = -29136.103
Iteration 51: (EM) log likelihood = -29131.08
Iteration 52: (EM) log likelihood = -29126.095
Iteration 53: (EM) log likelihood = -29121.33
Iteration 54: (EM) log likelihood = -29116.782
Iteration 55: (EM) log likelihood = -29111.089
Iteration 56: (EM) log likelihood = -29106.51
Iteration 57: (EM) log likelihood = -29101.921
Iteration 58: (EM) log likelihood = -29097.258
Iteration 59: (EM) log likelihood = -29092.519
Iteration 60: (EM) log likelihood = -29087.194
Iteration 61: (EM) log likelihood = -29082.928
Iteration 62: (EM) log likelihood = -29078.646
Iteration 63: (EM) log likelihood = -29074.262
Iteration 64: (EM) log likelihood = -29070.164
Iteration 65: (EM) log likelihood = -29066.078
Iteration 66: (EM) log likelihood = -29061.992
Iteration 67: (EM) log likelihood = -29057.962
Iteration 68: (EM) log likelihood = -29053.988
Iteration 69: (EM) log likelihood = -29050.517
Iteration 70: (EM) log likelihood = -29046.78
Iteration 71: (EM) log likelihood = -29042.957
Iteration 72: (EM) log likelihood = -29039.33
Iteration 73: (EM) log likelihood = -29035.496
Iteration 74: (EM) log likelihood = -29032.185
Iteration 75: (EM) log likelihood = -29028.697
Iteration 76: (EM) log likelihood = -29025.315
Iteration 77: (EM) log likelihood = -29022.06
Iteration 78: (EM) log likelihood = -29018.799
Iteration 79: (EM) log likelihood = -29015.692
Iteration 80: (EM) log likelihood = -29013.147
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6788.0575
Iteration 1: (class) log likelihood = -6788.0575
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29473.465
Iteration 1: (outcome) log likelihood = -29187.241
Iteration 2: (outcome) log likelihood = -29132.869
Iteration 3: (outcome) log likelihood = -29124.762
Iteration 4: (outcome) log likelihood = -29122.796
Iteration 5: (outcome) log likelihood = -29122.389
Iteration 6: (outcome) log likelihood = -29122.303
Iteration 7: (outcome) log likelihood = -29122.283
Iteration 8: (outcome) log likelihood = -29122.279
Iteration 9: (outcome) log likelihood = -29122.278
Iteration 10: (outcome) log likelihood = -29122.277
Iteration 11: (outcome) log likelihood = -29122.277
Iteration 12: (outcome) log likelihood = -29122.277
Refining starting values:
Iteration 0: (EM) log likelihood = -35900.401
Iteration 1: (EM) log likelihood = -35850.212
Iteration 2: (EM) log likelihood = -35690.466
Iteration 3: (EM) log likelihood = -35280.957
Iteration 4: (EM) log likelihood = -34510.239
Iteration 5: (EM) log likelihood = -33577.408
Iteration 6: (EM) log likelihood = -32816.312
Iteration 7: (EM) log likelihood = -32232.904
Iteration 8: (EM) log likelihood = -31736.429
Iteration 9: (EM) log likelihood = -31313.229
Iteration 10: (EM) log likelihood = -30972.076
Iteration 11: (EM) log likelihood = -30711.524
Iteration 12: (EM) log likelihood = -30514.673
Iteration 13: (EM) log likelihood = -30369.006
Iteration 14: (EM) log likelihood = -30258.646
Iteration 15: (EM) log likelihood = -30171.645
Iteration 16: (EM) log likelihood = -30099.064
Iteration 17: (EM) log likelihood = -30029.729
Iteration 18: (EM) log likelihood = -29963.373
Iteration 19: (EM) log likelihood = -29899.979
Iteration 20: (EM) log likelihood = -29840.096
Iteration 21: (EM) log likelihood = -29783.848
Iteration 22: (EM) log likelihood = -29732.445
Iteration 23: (EM) log likelihood = -29686.825
Iteration 24: (EM) log likelihood = -29643.859
Iteration 25: (EM) log likelihood = -29603.288
Iteration 26: (EM) log likelihood = -29562.351
Iteration 27: (EM) log likelihood = -29520.551
Iteration 28: (EM) log likelihood = -29477.729
Iteration 29: (EM) log likelihood = -29433.512
Iteration 30: (EM) log likelihood = -29386.691
Iteration 31: (EM) log likelihood = -29340.441
Iteration 32: (EM) log likelihood = -29292.701
Iteration 33: (EM) log likelihood = -29245.811
Iteration 34: (EM) log likelihood = -29202.286
Iteration 35: (EM) log likelihood = -29160.78
Iteration 36: (EM) log likelihood = -29122.762
Iteration 37: (EM) log likelihood = -29089.111
Iteration 38: (EM) log likelihood = -29057.579
Iteration 39: (EM) log likelihood = -29029.102
Iteration 40: (EM) log likelihood = -29003.035
Iteration 41: (EM) log likelihood = -28980.074
Iteration 42: (EM) log likelihood = -28957.278
Iteration 43: (EM) log likelihood = -28932.184
Iteration 44: (EM) log likelihood = -28909.623
Iteration 45: (EM) log likelihood = -28886.28
Iteration 46: (EM) log likelihood = -28866.126
Iteration 47: (EM) log likelihood = -28845.89
Iteration 48: (EM) log likelihood = -28827.786
Iteration 49: (EM) log likelihood = -28810.947
Iteration 50: (EM) log likelihood = -28796.534
Iteration 51: (EM) log likelihood = -28785.028
Iteration 52: (EM) log likelihood = -28774.408
Iteration 53: (EM) log likelihood = -28764.032
Iteration 54: (EM) log likelihood = -28754.106
Iteration 55: (EM) log likelihood = -28744.747
Iteration 56: (EM) log likelihood = -28738.412
Iteration 57: (EM) log likelihood = -28730.995
Iteration 58: (EM) log likelihood = -28723.727
Iteration 59: (EM) log likelihood = -28716.649
Iteration 60: (EM) log likelihood = -28710.589
Iteration 61: (EM) log likelihood = -28704.99
Iteration 62: (EM) log likelihood = -28700.306
Iteration 63: (EM) log likelihood = -28695.67
Iteration 64: (EM) log likelihood = -28687.2
Iteration 65: (EM) log likelihood = -28684.258
Iteration 66: (EM) log likelihood = -28680.907
Iteration 67: (EM) log likelihood = -28676.6
Iteration 68: (EM) log likelihood = -28672.982
Iteration 69: (EM) log likelihood = -28669.132
Iteration 70: (EM) log likelihood = -28665.985
Iteration 71: (EM) log likelihood = -28662.503
Iteration 72: (EM) log likelihood = -28660.395
Iteration 73: (EM) log likelihood = -28658.122
Iteration 74: (EM) log likelihood = -28654.975
Iteration 75: (EM) log likelihood = -28651.829
Iteration 76: (EM) log likelihood = -28650.074
Iteration 77: (EM) log likelihood = -28647.427
Iteration 78: (EM) log likelihood = -28645.707
Iteration 79: (EM) log likelihood = -28643.661
Iteration 80: (EM) log likelihood = -28641.806
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.6083
Iteration 1: (class) log likelihood = -6787.6083
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29290.414
Iteration 1: (outcome) log likelihood = -29150.268
Iteration 2: (outcome) log likelihood = -29106.56
Iteration 3: (outcome) log likelihood = -29099.656
Iteration 4: (outcome) log likelihood = -29098.088
Iteration 5: (outcome) log likelihood = -29097.754
Iteration 6: (outcome) log likelihood = -29097.699
Iteration 7: (outcome) log likelihood = -29097.693
Iteration 8: (outcome) log likelihood = -29097.692
Iteration 9: (outcome) log likelihood = -29097.692
Iteration 10: (outcome) log likelihood = -29097.692
Iteration 11: (outcome) log likelihood = -29097.692
Refining starting values:
Iteration 0: (EM) log likelihood = -35862.367
Iteration 1: (EM) log likelihood = -35772.432
Iteration 2: (EM) log likelihood = -35495.931
Iteration 3: (EM) log likelihood = -34841.882
Iteration 4: (EM) log likelihood = -33863.613
Iteration 5: (EM) log likelihood = -32978.046
Iteration 6: (EM) log likelihood = -32353.757
Iteration 7: (EM) log likelihood = -31902.036
Iteration 8: (EM) log likelihood = -31556.64
Iteration 9: (EM) log likelihood = -31276.919
Iteration 10: (EM) log likelihood = -31042.757
Iteration 11: (EM) log likelihood = -30840.07
Iteration 12: (EM) log likelihood = -30661.404
Iteration 13: (EM) log likelihood = -30504.018
Iteration 14: (EM) log likelihood = -30368
Iteration 15: (EM) log likelihood = -30248.188
Iteration 16: (EM) log likelihood = -30145.772
Iteration 17: (EM) log likelihood = -30051.287
Iteration 18: (EM) log likelihood = -29967.387
Iteration 19: (EM) log likelihood = -29898.465
Iteration 20: (EM) log likelihood = -29839.905
Iteration 21: (EM) log likelihood = -29790.597
Iteration 22: (EM) log likelihood = -29745.464
Iteration 23: (EM) log likelihood = -29703.862
Iteration 24: (EM) log likelihood = -29664.083
Iteration 25: (EM) log likelihood = -29626.571
Iteration 26: (EM) log likelihood = -29591.149
Iteration 27: (EM) log likelihood = -29555.864
Iteration 28: (EM) log likelihood = -29524.276
Iteration 29: (EM) log likelihood = -29494.558
Iteration 30: (EM) log likelihood = -29466.794
Iteration 31: (EM) log likelihood = -29439.636
Iteration 32: (EM) log likelihood = -29413.194
Iteration 33: (EM) log likelihood = -29387.399
Iteration 34: (EM) log likelihood = -29362.335
Iteration 35: (EM) log likelihood = -29338.831
Iteration 36: (EM) log likelihood = -29316.522
Iteration 37: (EM) log likelihood = -29294.233
Iteration 38: (EM) log likelihood = -29274.681
Iteration 39: (EM) log likelihood = -29254.7
Iteration 40: (EM) log likelihood = -29236.926
Iteration 41: (EM) log likelihood = -29220.168
Iteration 42: (EM) log likelihood = -29202.714
Iteration 43: (EM) log likelihood = -29187.382
Iteration 44: (EM) log likelihood = -29170.927
Iteration 45: (EM) log likelihood = -29155.771
Iteration 46: (EM) log likelihood = -29140.513
Iteration 47: (EM) log likelihood = -29126.645
Iteration 48: (EM) log likelihood = -29114.517
Iteration 49: (EM) log likelihood = -29102.145
Iteration 50: (EM) log likelihood = -29090.636
Iteration 51: (EM) log likelihood = -29080.124
Iteration 52: (EM) log likelihood = -29069.483
Iteration 53: (EM) log likelihood = -29059.81
Iteration 54: (EM) log likelihood = -29049.538
Iteration 55: (EM) log likelihood = -29041.033
Iteration 56: (EM) log likelihood = -29033.419
Iteration 57: (EM) log likelihood = -29024.533
Iteration 58: (EM) log likelihood = -29017.109
Iteration 59: (EM) log likelihood = -29010.789
Iteration 60: (EM) log likelihood = -29004.028
Iteration 61: (EM) log likelihood = -28998.164
Iteration 62: (EM) log likelihood = -28992.5
Iteration 63: (EM) log likelihood = -28986.315
Iteration 64: (EM) log likelihood = -28981.201
Iteration 65: (EM) log likelihood = -28976.331
Iteration 66: (EM) log likelihood = -28970.142
Iteration 67: (EM) log likelihood = -28965.936
Iteration 68: (EM) log likelihood = -28960.685
Iteration 69: (EM) log likelihood = -28953.708
Iteration 70: (EM) log likelihood = -28949.544
Iteration 71: (EM) log likelihood = -28944.525
Iteration 72: (EM) log likelihood = -28941.101
Iteration 73: (EM) log likelihood = -28938.616
Iteration 74: (EM) log likelihood = -28933.378
Iteration 75: (EM) log likelihood = -28929.619
Iteration 76: (EM) log likelihood = -28926.819
Iteration 77: (EM) log likelihood = -28923.37
Iteration 78: (EM) log likelihood = -28920.124
Iteration 79: (EM) log likelihood = -28914.683
Iteration 80: (EM) log likelihood = -28909.491
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6785.9178
Iteration 1: (class) log likelihood = -6785.9178
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29328.547
Iteration 1: (outcome) log likelihood = -29180.08
Iteration 2: (outcome) log likelihood = -29130.329
Iteration 3: (outcome) log likelihood = -29123.331
Iteration 4: (outcome) log likelihood = -29122.206
Iteration 5: (outcome) log likelihood = -29121.936
Iteration 6: (outcome) log likelihood = -29121.878
Iteration 7: (outcome) log likelihood = -29121.864
Iteration 8: (outcome) log likelihood = -29121.862
Iteration 9: (outcome) log likelihood = -29121.862
Iteration 10: (outcome) log likelihood = -29121.862
Iteration 11: (outcome) log likelihood = -29121.862
Refining starting values:
Iteration 0: (EM) log likelihood = -35892.607
Iteration 1: (EM) log likelihood = -35819.596
Iteration 2: (EM) log likelihood = -35534.274
Iteration 3: (EM) log likelihood = -34682.634
Iteration 4: (EM) log likelihood = -33418.122
Iteration 5: (EM) log likelihood = -32503.718
Iteration 6: (EM) log likelihood = -31959.722
Iteration 7: (EM) log likelihood = -31601.242
Iteration 8: (EM) log likelihood = -31328.416
Iteration 9: (EM) log likelihood = -31095.109
Iteration 10: (EM) log likelihood = -30881.743
Iteration 11: (EM) log likelihood = -30694.351
Iteration 12: (EM) log likelihood = -30539.664
Iteration 13: (EM) log likelihood = -30414.151
Iteration 14: (EM) log likelihood = -30315.777
Iteration 15: (EM) log likelihood = -30235.727
Iteration 16: (EM) log likelihood = -30165.65
Iteration 17: (EM) log likelihood = -30103.808
Iteration 18: (EM) log likelihood = -30045.243
Iteration 19: (EM) log likelihood = -29990.735
Iteration 20: (EM) log likelihood = -29935.012
Iteration 21: (EM) log likelihood = -29879.973
Iteration 22: (EM) log likelihood = -29824.237
Iteration 23: (EM) log likelihood = -29766.903
Iteration 24: (EM) log likelihood = -29705.773
Iteration 25: (EM) log likelihood = -29640.545
Iteration 26: (EM) log likelihood = -29572.212
Iteration 27: (EM) log likelihood = -29502.74
Iteration 28: (EM) log likelihood = -29432.293
Iteration 29: (EM) log likelihood = -29365.162
Iteration 30: (EM) log likelihood = -29304.07
Iteration 31: (EM) log likelihood = -29250.984
Iteration 32: (EM) log likelihood = -29206.727
Iteration 33: (EM) log likelihood = -29170.906
Iteration 34: (EM) log likelihood = -29142.31
Iteration 35: (EM) log likelihood = -29118.25
Iteration 36: (EM) log likelihood = -29097.785
Iteration 37: (EM) log likelihood = -29080.62
Iteration 38: (EM) log likelihood = -29064.724
Iteration 39: (EM) log likelihood = -29049.968
Iteration 40: (EM) log likelihood = -29035.991
Iteration 41: (EM) log likelihood = -29022.149
Iteration 42: (EM) log likelihood = -29006.73
Iteration 43: (EM) log likelihood = -28990.991
Iteration 44: (EM) log likelihood = -28973.24
Iteration 45: (EM) log likelihood = -28953.813
Iteration 46: (EM) log likelihood = -28932.178
Iteration 47: (EM) log likelihood = -28909.576
Iteration 48: (EM) log likelihood = -28883.458
Iteration 49: (EM) log likelihood = -28855.195
Iteration 50: (EM) log likelihood = -28824.525
Iteration 51: (EM) log likelihood = -28791.005
Iteration 52: (EM) log likelihood = -28755.984
Iteration 53: (EM) log likelihood = -28719.809
Iteration 54: (EM) log likelihood = -28682.342
Iteration 55: (EM) log likelihood = -28643.893
Iteration 56: (EM) log likelihood = -28605.388
Iteration 57: (EM) log likelihood = -28568.226
Iteration 58: (EM) log likelihood = -28531.741
Iteration 59: (EM) log likelihood = -28497.385
Iteration 60: (EM) log likelihood = -28465.835
Iteration 61: (EM) log likelihood = -28437.867
Iteration 62: (EM) log likelihood = -28412.101
Iteration 63: (EM) log likelihood = -28388.29
Iteration 64: (EM) log likelihood = -28367.199
Iteration 65: (EM) log likelihood = -28349.011
Iteration 66: (EM) log likelihood = -28332.884
Iteration 67: (EM) log likelihood = -28319.142
Iteration 68: (EM) log likelihood = -28307.48
Iteration 69: (EM) log likelihood = -28296.934
Iteration 70: (EM) log likelihood = -28287.554
Iteration 71: (EM) log likelihood = -28279.862
Iteration 72: (EM) log likelihood = -28272.278
Iteration 73: (EM) log likelihood = -28266.204
Iteration 74: (EM) log likelihood = -28260.536
Iteration 75: (EM) log likelihood = -28255.373
Iteration 76: (EM) log likelihood = -28250.771
Iteration 77: (EM) log likelihood = -28248.573
Iteration 78: (EM) log likelihood = -28245
Iteration 79: (EM) log likelihood = -28241.888
Iteration 80: (EM) log likelihood = -28239.339
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6784.9735
Iteration 1: (class) log likelihood = -6784.9735
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29521.708
Iteration 1: (outcome) log likelihood = -29205.773
Iteration 2: (outcome) log likelihood = -29135.864
Iteration 3: (outcome) log likelihood = -29121.503
Iteration 4: (outcome) log likelihood = -29118.752
Iteration 5: (outcome) log likelihood = -29118.16
Iteration 6: (outcome) log likelihood = -29118.021
Iteration 7: (outcome) log likelihood = -29117.989
Iteration 8: (outcome) log likelihood = -29117.982
Iteration 9: (outcome) log likelihood = -29117.981
Iteration 10: (outcome) log likelihood = -29117.981
Iteration 11: (outcome) log likelihood = -29117.981
Refining starting values:
Iteration 0: (EM) log likelihood = -35886.126
Iteration 1: (EM) log likelihood = -35811.403
Iteration 2: (EM) log likelihood = -35547.436
Iteration 3: (EM) log likelihood = -34825.289
Iteration 4: (EM) log likelihood = -33745.531
Iteration 5: (EM) log likelihood = -32885.536
Iteration 6: (EM) log likelihood = -32294.905
Iteration 7: (EM) log likelihood = -31834.316
Iteration 8: (EM) log likelihood = -31438.559
Iteration 9: (EM) log likelihood = -31102.999
Iteration 10: (EM) log likelihood = -30828.044
Iteration 11: (EM) log likelihood = -30606.297
Iteration 12: (EM) log likelihood = -30415.416
Iteration 13: (EM) log likelihood = -30242.093
Iteration 14: (EM) log likelihood = -30081.915
Iteration 15: (EM) log likelihood = -29941.688
Iteration 16: (EM) log likelihood = -29817.376
Iteration 17: (EM) log likelihood = -29721.119
Iteration 18: (EM) log likelihood = -29644.575
Iteration 19: (EM) log likelihood = -29578.51
Iteration 20: (EM) log likelihood = -29523.378
Iteration 21: (EM) log likelihood = -29476.524
Iteration 22: (EM) log likelihood = -29438.595
Iteration 23: (EM) log likelihood = -29406.629
Iteration 24: (EM) log likelihood = -29378.913
Iteration 25: (EM) log likelihood = -29356.148
Iteration 26: (EM) log likelihood = -29337.211
Iteration 27: (EM) log likelihood = -29321.442
Iteration 28: (EM) log likelihood = -29306.274
Iteration 29: (EM) log likelihood = -29293.357
Iteration 30: (EM) log likelihood = -29281.849
Iteration 31: (EM) log likelihood = -29271.072
Iteration 32: (EM) log likelihood = -29260.333
Iteration 33: (EM) log likelihood = -29250.283
Iteration 34: (EM) log likelihood = -29240.614
Iteration 35: (EM) log likelihood = -29231.324
Iteration 36: (EM) log likelihood = -29221.653
Iteration 37: (EM) log likelihood = -29213.13
Iteration 38: (EM) log likelihood = -29203.368
Iteration 39: (EM) log likelihood = -29193.711
Iteration 40: (EM) log likelihood = -29183.367
Iteration 41: (EM) log likelihood = -29173.039
Iteration 42: (EM) log likelihood = -29163.344
Iteration 43: (EM) log likelihood = -29153.619
Iteration 44: (EM) log likelihood = -29143.626
Iteration 45: (EM) log likelihood = -29133.307
Iteration 46: (EM) log likelihood = -29122.687
Iteration 47: (EM) log likelihood = -29112.519
Iteration 48: (EM) log likelihood = -29100.794
Iteration 49: (EM) log likelihood = -29088.201
Iteration 50: (EM) log likelihood = -29074.91
Iteration 51: (EM) log likelihood = -29061.237
Iteration 52: (EM) log likelihood = -29046.27
Iteration 53: (EM) log likelihood = -29031.229
Iteration 54: (EM) log likelihood = -29013.958
Iteration 55: (EM) log likelihood = -28995.427
Iteration 56: (EM) log likelihood = -28975.379
Iteration 57: (EM) log likelihood = -28954.586
Iteration 58: (EM) log likelihood = -28931.52
Iteration 59: (EM) log likelihood = -28906.404
Iteration 60: (EM) log likelihood = -28879.691
Iteration 61: (EM) log likelihood = -28850.359
Iteration 62: (EM) log likelihood = -28816.815
Iteration 63: (EM) log likelihood = -28779.504
Iteration 64: (EM) log likelihood = -28739.98
Iteration 65: (EM) log likelihood = -28699.525
Iteration 66: (EM) log likelihood = -28654.775
Iteration 67: (EM) log likelihood = -28610.363
Iteration 68: (EM) log likelihood = -28564.33
Iteration 69: (EM) log likelihood = -28518.329
Iteration 70: (EM) log likelihood = -28473.955
Iteration 71: (EM) log likelihood = -28433.556
Iteration 72: (EM) log likelihood = -28394.309
Iteration 73: (EM) log likelihood = -28358.582
Iteration 74: (EM) log likelihood = -28328.219
Iteration 75: (EM) log likelihood = -28300.037
Iteration 76: (EM) log likelihood = -28275.474
Iteration 77: (EM) log likelihood = -28255.364
Iteration 78: (EM) log likelihood = -28237.219
Iteration 79: (EM) log likelihood = -28220.606
Iteration 80: (EM) log likelihood = -28207.311
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6783.4593
Iteration 1: (class) log likelihood = -6783.4593
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29582.562
Iteration 1: (outcome) log likelihood = -29188.164
Iteration 2: (outcome) log likelihood = -29109.151
Iteration 3: (outcome) log likelihood = -29093.299
Iteration 4: (outcome) log likelihood = -29090.486
Iteration 5: (outcome) log likelihood = -29089.852
Iteration 6: (outcome) log likelihood = -29089.7
Iteration 7: (outcome) log likelihood = -29089.667
Iteration 8: (outcome) log likelihood = -29089.66
Iteration 9: (outcome) log likelihood = -29089.659
Iteration 10: (outcome) log likelihood = -29089.659
Iteration 11: (outcome) log likelihood = -29089.658
Iteration 12: (outcome) log likelihood = -29089.658
Refining starting values:
Iteration 0: (EM) log likelihood = -35808.101
Iteration 1: (EM) log likelihood = -35587.843
Iteration 2: (EM) log likelihood = -35040.112
Iteration 3: (EM) log likelihood = -34120.267
Iteration 4: (EM) log likelihood = -33114.813
Iteration 5: (EM) log likelihood = -32335.973
Iteration 6: (EM) log likelihood = -31781.493
Iteration 7: (EM) log likelihood = -31367.616
Iteration 8: (EM) log likelihood = -31042.196
Iteration 9: (EM) log likelihood = -30773.088
Iteration 10: (EM) log likelihood = -30551.536
Iteration 11: (EM) log likelihood = -30376.693
Iteration 12: (EM) log likelihood = -30242.218
Iteration 13: (EM) log likelihood = -30138.474
Iteration 14: (EM) log likelihood = -30058.135
Iteration 15: (EM) log likelihood = -29994.344
Iteration 16: (EM) log likelihood = -29942.213
Iteration 17: (EM) log likelihood = -29899.166
Iteration 18: (EM) log likelihood = -29864.81
Iteration 19: (EM) log likelihood = -29836.617
Iteration 20: (EM) log likelihood = -29811.157
Iteration 21: (EM) log likelihood = -29787.971
Iteration 22: (EM) log likelihood = -29767.302
Iteration 23: (EM) log likelihood = -29749.901
Iteration 24: (EM) log likelihood = -29731.742
Iteration 25: (EM) log likelihood = -29717.589
Iteration 26: (EM) log likelihood = -29702.768
Iteration 27: (EM) log likelihood = -29689.452
Iteration 28: (EM) log likelihood = -29676.366
Iteration 29: (EM) log likelihood = -29664.213
Iteration 30: (EM) log likelihood = -29652.778
Iteration 31: (EM) log likelihood = -29641.043
Iteration 32: (EM) log likelihood = -29631.58
Iteration 33: (EM) log likelihood = -29621.007
Iteration 34: (EM) log likelihood = -29611.604
Iteration 35: (EM) log likelihood = -29603.088
Iteration 36: (EM) log likelihood = -29595.208
Iteration 37: (EM) log likelihood = -29586.498
Iteration 38: (EM) log likelihood = -29578.425
Iteration 39: (EM) log likelihood = -29569.765
Iteration 40: (EM) log likelihood = -29561.024
Iteration 41: (EM) log likelihood = -29552.03
Iteration 42: (EM) log likelihood = -29542.89
Iteration 43: (EM) log likelihood = -29532.991
Iteration 44: (EM) log likelihood = -29522.459
Iteration 45: (EM) log likelihood = -29509.941
Iteration 46: (EM) log likelihood = -29495.79
Iteration 47: (EM) log likelihood = -29481.655
Iteration 48: (EM) log likelihood = -29465.527
Iteration 49: (EM) log likelihood = -29448.148
Iteration 50: (EM) log likelihood = -29428.901
Iteration 51: (EM) log likelihood = -29409.557
Iteration 52: (EM) log likelihood = -29389.251
Iteration 53: (EM) log likelihood = -29368.733
Iteration 54: (EM) log likelihood = -29347.304
Iteration 55: (EM) log likelihood = -29327.327
Iteration 56: (EM) log likelihood = -29307.52
Iteration 57: (EM) log likelihood = -29289.381
Iteration 58: (EM) log likelihood = -29273.162
Iteration 59: (EM) log likelihood = -29257.74
Iteration 60: (EM) log likelihood = -29242.045
Iteration 61: (EM) log likelihood = -29228.024
Iteration 62: (EM) log likelihood = -29215.966
Iteration 63: (EM) log likelihood = -29204.438
Iteration 64: (EM) log likelihood = -29192.425
Iteration 65: (EM) log likelihood = -29181.594
Iteration 66: (EM) log likelihood = -29170.334
Iteration 67: (EM) log likelihood = -29159.363
Iteration 68: (EM) log likelihood = -29150.214
Iteration 69: (EM) log likelihood = -29136.724
Iteration 70: (EM) log likelihood = -29123.131
Iteration 71: (EM) log likelihood = -29109.431
Iteration 72: (EM) log likelihood = -29092.988
Iteration 73: (EM) log likelihood = -29074.314
Iteration 74: (EM) log likelihood = -29054.41
Iteration 75: (EM) log likelihood = -29034.372
Iteration 76: (EM) log likelihood = -29013.037
Iteration 77: (EM) log likelihood = -28989.469
Iteration 78: (EM) log likelihood = -28964.435
Iteration 79: (EM) log likelihood = -28937.444
Iteration 80: (EM) log likelihood = -28909.78
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6786.3628
Iteration 1: (class) log likelihood = -6786.3628
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29362.713
Iteration 1: (outcome) log likelihood = -29194.576
Iteration 2: (outcome) log likelihood = -29133.754
Iteration 3: (outcome) log likelihood = -29126.641
Iteration 4: (outcome) log likelihood = -29125.283
Iteration 5: (outcome) log likelihood = -29124.987
Iteration 6: (outcome) log likelihood = -29124.918
Iteration 7: (outcome) log likelihood = -29124.902
Iteration 8: (outcome) log likelihood = -29124.899
Iteration 9: (outcome) log likelihood = -29124.898
Iteration 10: (outcome) log likelihood = -29124.898
Iteration 11: (outcome) log likelihood = -29124.898
Refining starting values:
Iteration 0: (EM) log likelihood = -35902.743
Iteration 1: (EM) log likelihood = -35870.65
Iteration 2: (EM) log likelihood = -35777.793
Iteration 3: (EM) log likelihood = -35491.828
Iteration 4: (EM) log likelihood = -34703.717
Iteration 5: (EM) log likelihood = -33411.575
Iteration 6: (EM) log likelihood = -32327.325
Iteration 7: (EM) log likelihood = -31681.374
Iteration 8: (EM) log likelihood = -31292.004
Iteration 9: (EM) log likelihood = -31023.936
Iteration 10: (EM) log likelihood = -30817.962
Iteration 11: (EM) log likelihood = -30637.354
Iteration 12: (EM) log likelihood = -30465.209
Iteration 13: (EM) log likelihood = -30300.861
Iteration 14: (EM) log likelihood = -30145.719
Iteration 15: (EM) log likelihood = -30009.179
Iteration 16: (EM) log likelihood = -29892.067
Iteration 17: (EM) log likelihood = -29794.354
Iteration 18: (EM) log likelihood = -29713.22
Iteration 19: (EM) log likelihood = -29644.945
Iteration 20: (EM) log likelihood = -29586.819
Iteration 21: (EM) log likelihood = -29536.494
Iteration 22: (EM) log likelihood = -29491.246
Iteration 23: (EM) log likelihood = -29448.047
Iteration 24: (EM) log likelihood = -29412.094
Iteration 25: (EM) log likelihood = -29379.626
Iteration 26: (EM) log likelihood = -29350.956
Iteration 27: (EM) log likelihood = -29324.717
Iteration 28: (EM) log likelihood = -29302.166
Iteration 29: (EM) log likelihood = -29281.185
Iteration 30: (EM) log likelihood = -29262.375
Iteration 31: (EM) log likelihood = -29244.675
Iteration 32: (EM) log likelihood = -29228.158
Iteration 33: (EM) log likelihood = -29211.981
Iteration 34: (EM) log likelihood = -29194.951
Iteration 35: (EM) log likelihood = -29177.789
Iteration 36: (EM) log likelihood = -29160.399
Iteration 37: (EM) log likelihood = -29142.085
Iteration 38: (EM) log likelihood = -29124.096
Iteration 39: (EM) log likelihood = -29104.715
Iteration 40: (EM) log likelihood = -29084.388
Iteration 41: (EM) log likelihood = -29061.854
Iteration 42: (EM) log likelihood = -29039.485
Iteration 43: (EM) log likelihood = -29014.718
Iteration 44: (EM) log likelihood = -28988.614
Iteration 45: (EM) log likelihood = -28962.725
Iteration 46: (EM) log likelihood = -28934.333
Iteration 47: (EM) log likelihood = -28908.201
Iteration 48: (EM) log likelihood = -28880.775
Iteration 49: (EM) log likelihood = -28853.96
Iteration 50: (EM) log likelihood = -28830.375
Iteration 51: (EM) log likelihood = -28806.008
Iteration 52: (EM) log likelihood = -28785.117
Iteration 53: (EM) log likelihood = -28763.104
Iteration 54: (EM) log likelihood = -28741.362
Iteration 55: (EM) log likelihood = -28722.393
Iteration 56: (EM) log likelihood = -28704.233
Iteration 57: (EM) log likelihood = -28686.762
Iteration 58: (EM) log likelihood = -28673.704
Iteration 59: (EM) log likelihood = -28658.761
Iteration 60: (EM) log likelihood = -28644.955
Iteration 61: (EM) log likelihood = -28631.763
Iteration 62: (EM) log likelihood = -28618.634
Iteration 63: (EM) log likelihood = -28606.746
Iteration 64: (EM) log likelihood = -28595.092
Iteration 65: (EM) log likelihood = -28582.002
Iteration 66: (EM) log likelihood = -28570.701
Iteration 67: (EM) log likelihood = -28558.371
Iteration 68: (EM) log likelihood = -28541.054
Iteration 69: (EM) log likelihood = -28525.482
Iteration 70: (EM) log likelihood = -28507.401
Iteration 71: (EM) log likelihood = -28486.538
Iteration 72: (EM) log likelihood = -28465.164
Iteration 73: (EM) log likelihood = -28443.665
Iteration 74: (EM) log likelihood = -28422.11
Iteration 75: (EM) log likelihood = -28403.443
Iteration 76: (EM) log likelihood = -28383.464
Iteration 77: (EM) log likelihood = -28367.691
Iteration 78: (EM) log likelihood = -28350.632
Iteration 79: (EM) log likelihood = -28336.529
Iteration 80: (EM) log likelihood = -28324.201
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6788.4797
Iteration 1: (class) log likelihood = -6788.4797
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29506.508
Iteration 1: (outcome) log likelihood = -29182.145
Iteration 2: (outcome) log likelihood = -29117.775
Iteration 3: (outcome) log likelihood = -29104.082
Iteration 4: (outcome) log likelihood = -29100.852
Iteration 5: (outcome) log likelihood = -29100.1
Iteration 6: (outcome) log likelihood = -29099.93
Iteration 7: (outcome) log likelihood = -29099.893
Iteration 8: (outcome) log likelihood = -29099.887
Iteration 9: (outcome) log likelihood = -29099.886
Iteration 10: (outcome) log likelihood = -29099.886
Iteration 11: (outcome) log likelihood = -29099.886
Refining starting values:
Iteration 0: (EM) log likelihood = -35879.603
Iteration 1: (EM) log likelihood = -35836.989
Iteration 2: (EM) log likelihood = -35707.476
Iteration 3: (EM) log likelihood = -35349.044
Iteration 4: (EM) log likelihood = -34607.268
Iteration 5: (EM) log likelihood = -33666.156
Iteration 6: (EM) log likelihood = -32829.094
Iteration 7: (EM) log likelihood = -32148.039
Iteration 8: (EM) log likelihood = -31626.944
Iteration 9: (EM) log likelihood = -31249.957
Iteration 10: (EM) log likelihood = -30980.366
Iteration 11: (EM) log likelihood = -30782.958
Iteration 12: (EM) log likelihood = -30621.144
Iteration 13: (EM) log likelihood = -30482.505
Iteration 14: (EM) log likelihood = -30363.549
Iteration 15: (EM) log likelihood = -30261.143
Iteration 16: (EM) log likelihood = -30170.936
Iteration 17: (EM) log likelihood = -30086.976
Iteration 18: (EM) log likelihood = -30008.585
Iteration 19: (EM) log likelihood = -29935.451
Iteration 20: (EM) log likelihood = -29861.97
Iteration 21: (EM) log likelihood = -29791.418
Iteration 22: (EM) log likelihood = -29722.476
Iteration 23: (EM) log likelihood = -29658.016
Iteration 24: (EM) log likelihood = -29598.007
Iteration 25: (EM) log likelihood = -29542.598
Iteration 26: (EM) log likelihood = -29492.645
Iteration 27: (EM) log likelihood = -29447.816
Iteration 28: (EM) log likelihood = -29408.928
Iteration 29: (EM) log likelihood = -29373.833
Iteration 30: (EM) log likelihood = -29344.727
Iteration 31: (EM) log likelihood = -29320.337
Iteration 32: (EM) log likelihood = -29297.436
Iteration 33: (EM) log likelihood = -29279.291
Iteration 34: (EM) log likelihood = -29263.177
Iteration 35: (EM) log likelihood = -29247.838
Iteration 36: (EM) log likelihood = -29234.16
Iteration 37: (EM) log likelihood = -29222.023
Iteration 38: (EM) log likelihood = -29210.904
Iteration 39: (EM) log likelihood = -29200.787
Iteration 40: (EM) log likelihood = -29192.533
Iteration 41: (EM) log likelihood = -29184.218
Iteration 42: (EM) log likelihood = -29174.844
Iteration 43: (EM) log likelihood = -29159.452
Iteration 44: (EM) log likelihood = -29153.331
Iteration 45: (EM) log likelihood = -29145.622
Iteration 46: (EM) log likelihood = -29137.751
Iteration 47: (EM) log likelihood = -29128.091
Iteration 48: (EM) log likelihood = -29118.419
Iteration 49: (EM) log likelihood = -29109.028
Iteration 50: (EM) log likelihood = -29097.464
Iteration 51: (EM) log likelihood = -29086.009
Iteration 52: (EM) log likelihood = -29074.249
Iteration 53: (EM) log likelihood = -29061.283
Iteration 54: (EM) log likelihood = -29045.315
Iteration 55: (EM) log likelihood = -29029.228
Iteration 56: (EM) log likelihood = -29013.027
Iteration 57: (EM) log likelihood = -28993.119
Iteration 58: (EM) log likelihood = -28970.66
Iteration 59: (EM) log likelihood = -28947.855
Iteration 60: (EM) log likelihood = -28921.911
Iteration 61: (EM) log likelihood = -28893.452
Iteration 62: (EM) log likelihood = -28862.66
Iteration 63: (EM) log likelihood = -28831.284
Iteration 64: (EM) log likelihood = -28796.769
Iteration 65: (EM) log likelihood = -28762.055
Iteration 66: (EM) log likelihood = -28725.049
Iteration 67: (EM) log likelihood = -28689.258
Iteration 68: (EM) log likelihood = -28653.312
Iteration 69: (EM) log likelihood = -28617.289
Iteration 70: (EM) log likelihood = -28582.198
Iteration 71: (EM) log likelihood = -28550.486
Iteration 72: (EM) log likelihood = -28519.14
Iteration 73: (EM) log likelihood = -28490.037
Iteration 74: (EM) log likelihood = -28464.696
Iteration 75: (EM) log likelihood = -28440.566
Iteration 76: (EM) log likelihood = -28415.553
Iteration 77: (EM) log likelihood = -28395.315
Iteration 78: (EM) log likelihood = -28377.392
Iteration 79: (EM) log likelihood = -28360.852
Iteration 80: (EM) log likelihood = -28346.12
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6786.9124
Iteration 1: (class) log likelihood = -6786.9124
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29461.235
Iteration 1: (outcome) log likelihood = -29185.242
Iteration 2: (outcome) log likelihood = -29131.127
Iteration 3: (outcome) log likelihood = -29123.392
Iteration 4: (outcome) log likelihood = -29121.636
Iteration 5: (outcome) log likelihood = -29121.232
Iteration 6: (outcome) log likelihood = -29121.146
Iteration 7: (outcome) log likelihood = -29121.132
Iteration 8: (outcome) log likelihood = -29121.13
Iteration 9: (outcome) log likelihood = -29121.13
Iteration 10: (outcome) log likelihood = -29121.13
Iteration 11: (outcome) log likelihood = -29121.13
Refining starting values:
Iteration 0: (EM) log likelihood = -35883.673
Iteration 1: (EM) log likelihood = -35788.041
Iteration 2: (EM) log likelihood = -35459.067
Iteration 3: (EM) log likelihood = -34627.394
Iteration 4: (EM) log likelihood = -33533.086
Iteration 5: (EM) log likelihood = -32665.096
Iteration 6: (EM) log likelihood = -32010.855
Iteration 7: (EM) log likelihood = -31495.758
Iteration 8: (EM) log likelihood = -31075.993
Iteration 9: (EM) log likelihood = -30722.165
Iteration 10: (EM) log likelihood = -30433.211
Iteration 11: (EM) log likelihood = -30216.796
Iteration 12: (EM) log likelihood = -30059.836
Iteration 13: (EM) log likelihood = -29949.685
Iteration 14: (EM) log likelihood = -29867.692
Iteration 15: (EM) log likelihood = -29801.86
Iteration 16: (EM) log likelihood = -29747.265
Iteration 17: (EM) log likelihood = -29700.345
Iteration 18: (EM) log likelihood = -29656.954
Iteration 19: (EM) log likelihood = -29617.485
Iteration 20: (EM) log likelihood = -29582.305
Iteration 21: (EM) log likelihood = -29549.723
Iteration 22: (EM) log likelihood = -29520.272
Iteration 23: (EM) log likelihood = -29493.869
Iteration 24: (EM) log likelihood = -29469.251
Iteration 25: (EM) log likelihood = -29444.886
Iteration 26: (EM) log likelihood = -29419.362
Iteration 27: (EM) log likelihood = -29391.566
Iteration 28: (EM) log likelihood = -29361.003
Iteration 29: (EM) log likelihood = -29328.219
Iteration 30: (EM) log likelihood = -29295.566
Iteration 31: (EM) log likelihood = -29263.952
Iteration 32: (EM) log likelihood = -29233.729
Iteration 33: (EM) log likelihood = -29205.348
Iteration 34: (EM) log likelihood = -29177.365
Iteration 35: (EM) log likelihood = -29152.875
Iteration 36: (EM) log likelihood = -29129.434
Iteration 37: (EM) log likelihood = -29108.387
Iteration 38: (EM) log likelihood = -29087.65
Iteration 39: (EM) log likelihood = -29067.358
Iteration 40: (EM) log likelihood = -29047.942
Iteration 41: (EM) log likelihood = -29030.593
Iteration 42: (EM) log likelihood = -29015.123
Iteration 43: (EM) log likelihood = -28999.991
Iteration 44: (EM) log likelihood = -28984.64
Iteration 45: (EM) log likelihood = -28971.203
Iteration 46: (EM) log likelihood = -28955.861
Iteration 47: (EM) log likelihood = -28942.25
Iteration 48: (EM) log likelihood = -28930.626
Iteration 49: (EM) log likelihood = -28918.773
Iteration 50: (EM) log likelihood = -28906.398
Iteration 51: (EM) log likelihood = -28895.989
Iteration 52: (EM) log likelihood = -28883.264
Iteration 53: (EM) log likelihood = -28878.228
Iteration 54: (EM) log likelihood = -28865.914
Iteration 55: (EM) log likelihood = -28854.542
Iteration 56: (EM) log likelihood = -28841.443
Iteration 57: (EM) log likelihood = -28830.499
Iteration 58: (EM) log likelihood = -28818.928
Iteration 59: (EM) log likelihood = -28808.956
Iteration 60: (EM) log likelihood = -28797.923
Iteration 61: (EM) log likelihood = -28786.725
Iteration 62: (EM) log likelihood = -28777.503
Iteration 63: (EM) log likelihood = -28768.343
Iteration 64: (EM) log likelihood = -28759.278
Iteration 65: (EM) log likelihood = -28749.598
Iteration 66: (EM) log likelihood = -28739.344
Iteration 67: (EM) log likelihood = -28729.98
Iteration 68: (EM) log likelihood = -28732.071
Iteration 69: (EM) log likelihood = -28717.566
Iteration 70: (EM) log likelihood = -28702.244
Iteration 71: (EM) log likelihood = -28687.641
Iteration 72: (EM) log likelihood = -28675.408
Iteration 73: (EM) log likelihood = -28662.421
Iteration 74: (EM) log likelihood = -28648.419
Iteration 75: (EM) log likelihood = -28632.629
Iteration 76: (EM) log likelihood = -28616.802
Iteration 77: (EM) log likelihood = -28600.088
Iteration 78: (EM) log likelihood = -28585.243
Iteration 79: (EM) log likelihood = -28570.381
Iteration 80: (EM) log likelihood = -28554.659
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.571
Iteration 1: (class) log likelihood = -6787.571
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29437.866
Iteration 1: (outcome) log likelihood = -29175.328
Iteration 2: (outcome) log likelihood = -29127.386
Iteration 3: (outcome) log likelihood = -29119.821
Iteration 4: (outcome) log likelihood = -29118.06
Iteration 5: (outcome) log likelihood = -29117.704
Iteration 6: (outcome) log likelihood = -29117.645
Iteration 7: (outcome) log likelihood = -29117.631
Iteration 8: (outcome) log likelihood = -29117.628
Iteration 9: (outcome) log likelihood = -29117.628
Iteration 10: (outcome) log likelihood = -29117.627
Iteration 11: (outcome) log likelihood = -29117.627
Refining starting values:
Iteration 0: (EM) log likelihood = -35883.789
Iteration 1: (EM) log likelihood = -35802.27
Iteration 2: (EM) log likelihood = -35533.418
Iteration 3: (EM) log likelihood = -34817.888
Iteration 4: (EM) log likelihood = -33708.841
Iteration 5: (EM) log likelihood = -32786.1
Iteration 6: (EM) log likelihood = -32162.093
Iteration 7: (EM) log likelihood = -31676.668
Iteration 8: (EM) log likelihood = -31253.676
Iteration 9: (EM) log likelihood = -30893.573
Iteration 10: (EM) log likelihood = -30612.293
Iteration 11: (EM) log likelihood = -30400.86
Iteration 12: (EM) log likelihood = -30227.872
Iteration 13: (EM) log likelihood = -30077.883
Iteration 14: (EM) log likelihood = -29942.322
Iteration 15: (EM) log likelihood = -29822.492
Iteration 16: (EM) log likelihood = -29725.326
Iteration 17: (EM) log likelihood = -29649.917
Iteration 18: (EM) log likelihood = -29595.842
Iteration 19: (EM) log likelihood = -29555.383
Iteration 20: (EM) log likelihood = -29523.079
Iteration 21: (EM) log likelihood = -29496.843
Iteration 22: (EM) log likelihood = -29473.178
Iteration 23: (EM) log likelihood = -29450.754
Iteration 24: (EM) log likelihood = -29428.095
Iteration 25: (EM) log likelihood = -29404.363
Iteration 26: (EM) log likelihood = -29379.063
Iteration 27: (EM) log likelihood = -29352.461
Iteration 28: (EM) log likelihood = -29325.245
Iteration 29: (EM) log likelihood = -29297.229
Iteration 30: (EM) log likelihood = -29270.059
Iteration 31: (EM) log likelihood = -29243.82
Iteration 32: (EM) log likelihood = -29219.171
Iteration 33: (EM) log likelihood = -29196.892
Iteration 34: (EM) log likelihood = -29175.554
Iteration 35: (EM) log likelihood = -29155.426
Iteration 36: (EM) log likelihood = -29136.456
Iteration 37: (EM) log likelihood = -29118.619
Iteration 38: (EM) log likelihood = -29102.856
Iteration 39: (EM) log likelihood = -29088.708
Iteration 40: (EM) log likelihood = -29076.229
Iteration 41: (EM) log likelihood = -29064.911
Iteration 42: (EM) log likelihood = -29054.938
Iteration 43: (EM) log likelihood = -29046.363
Iteration 44: (EM) log likelihood = -29039.249
Iteration 45: (EM) log likelihood = -29031.424
Iteration 46: (EM) log likelihood = -29025.71
Iteration 47: (EM) log likelihood = -29020.226
Iteration 48: (EM) log likelihood = -29015.323
Iteration 49: (EM) log likelihood = -29010.795
Iteration 50: (EM) log likelihood = -29006.747
Iteration 51: (EM) log likelihood = -29002.717
Iteration 52: (EM) log likelihood = -28998.865
Iteration 53: (EM) log likelihood = -28995.381
Iteration 54: (EM) log likelihood = -28991.504
Iteration 55: (EM) log likelihood = -28987.511
Iteration 56: (EM) log likelihood = -28983.45
Iteration 57: (EM) log likelihood = -28978.993
Iteration 58: (EM) log likelihood = -28974.652
Iteration 59: (EM) log likelihood = -28969.906
Iteration 60: (EM) log likelihood = -28964.622
Iteration 61: (EM) log likelihood = -28958.998
Iteration 62: (EM) log likelihood = -28952.197
Iteration 63: (EM) log likelihood = -28945.094
Iteration 64: (EM) log likelihood = -28937.941
Iteration 65: (EM) log likelihood = -28930.732
Iteration 66: (EM) log likelihood = -28922.201
Iteration 67: (EM) log likelihood = -28913.842
Iteration 68: (EM) log likelihood = -28906.009
Iteration 69: (EM) log likelihood = -28898.109
Iteration 70: (EM) log likelihood = -28888.414
Iteration 71: (EM) log likelihood = -28880.492
Iteration 72: (EM) log likelihood = -28871.944
Iteration 73: (EM) log likelihood = -28863.467
Iteration 74: (EM) log likelihood = -28855.406
Iteration 75: (EM) log likelihood = -28847.294
Iteration 76: (EM) log likelihood = -28840.085
Iteration 77: (EM) log likelihood = -28832.044
Iteration 78: (EM) log likelihood = -28825.051
Iteration 79: (EM) log likelihood = -28818.444
Iteration 80: (EM) log likelihood = -28811.789
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6786.6795
Iteration 1: (class) log likelihood = -6786.6795
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29338.24
Iteration 1: (outcome) log likelihood = -29182.004
Iteration 2: (outcome) log likelihood = -29128.552
Iteration 3: (outcome) log likelihood = -29121.71
Iteration 4: (outcome) log likelihood = -29120.501
Iteration 5: (outcome) log likelihood = -29120.23
Iteration 6: (outcome) log likelihood = -29120.164
Iteration 7: (outcome) log likelihood = -29120.15
Iteration 8: (outcome) log likelihood = -29120.147
Iteration 9: (outcome) log likelihood = -29120.147
Iteration 10: (outcome) log likelihood = -29120.146
Iteration 11: (outcome) log likelihood = -29120.146
Refining starting values:
Iteration 0: (EM) log likelihood = -35878.358
Iteration 1: (EM) log likelihood = -35753.898
Iteration 2: (EM) log likelihood = -35319.447
Iteration 3: (EM) log likelihood = -34314.67
Iteration 4: (EM) log likelihood = -33200.995
Iteration 5: (EM) log likelihood = -32454.101
Iteration 6: (EM) log likelihood = -31925.55
Iteration 7: (EM) log likelihood = -31504.863
Iteration 8: (EM) log likelihood = -31168.553
Iteration 9: (EM) log likelihood = -30906.064
Iteration 10: (EM) log likelihood = -30703.612
Iteration 11: (EM) log likelihood = -30538.886
Iteration 12: (EM) log likelihood = -30393.203
Iteration 13: (EM) log likelihood = -30260.909
Iteration 14: (EM) log likelihood = -30140.988
Iteration 15: (EM) log likelihood = -30032.558
Iteration 16: (EM) log likelihood = -29933.072
Iteration 17: (EM) log likelihood = -29842.801
Iteration 18: (EM) log likelihood = -29760.926
Iteration 19: (EM) log likelihood = -29686.801
Iteration 20: (EM) log likelihood = -29617.265
Iteration 21: (EM) log likelihood = -29552.218
Iteration 22: (EM) log likelihood = -29490.966
Iteration 23: (EM) log likelihood = -29431.551
Iteration 24: (EM) log likelihood = -29377.115
Iteration 25: (EM) log likelihood = -29327.759
Iteration 26: (EM) log likelihood = -29281.564
Iteration 27: (EM) log likelihood = -29238.051
Iteration 28: (EM) log likelihood = -29197.397
Iteration 29: (EM) log likelihood = -29160.705
Iteration 30: (EM) log likelihood = -29125.599
Iteration 31: (EM) log likelihood = -29092.151
Iteration 32: (EM) log likelihood = -29060.979
Iteration 33: (EM) log likelihood = -29030.774
Iteration 34: (EM) log likelihood = -29001.227
Iteration 35: (EM) log likelihood = -28972.693
Iteration 36: (EM) log likelihood = -28945.789
Iteration 37: (EM) log likelihood = -28918.593
Iteration 38: (EM) log likelihood = -28892.074
Iteration 39: (EM) log likelihood = -28865.033
Iteration 40: (EM) log likelihood = -28839.612
Iteration 41: (EM) log likelihood = -28812.38
Iteration 42: (EM) log likelihood = -28788.521
Iteration 43: (EM) log likelihood = -28765.032
Iteration 44: (EM) log likelihood = -28743.032
Iteration 45: (EM) log likelihood = -28719.458
Iteration 46: (EM) log likelihood = -28697.931
Iteration 47: (EM) log likelihood = -28677.147
Iteration 48: (EM) log likelihood = -28657.174
Iteration 49: (EM) log likelihood = -28638.382
Iteration 50: (EM) log likelihood = -28620.246
Iteration 51: (EM) log likelihood = -28602.607
Iteration 52: (EM) log likelihood = -28586.291
Iteration 53: (EM) log likelihood = -28571.684
Iteration 54: (EM) log likelihood = -28560.062
Iteration 55: (EM) log likelihood = -28549.273
Iteration 56: (EM) log likelihood = -28537.435
Iteration 57: (EM) log likelihood = -28526.214
Iteration 58: (EM) log likelihood = -28515.57
Iteration 59: (EM) log likelihood = -28502.808
Iteration 60: (EM) log likelihood = -28487.98
Iteration 61: (EM) log likelihood = -28472.746
Iteration 62: (EM) log likelihood = -28455.594
Iteration 63: (EM) log likelihood = -28439.325
Iteration 64: (EM) log likelihood = -28422.214
Iteration 65: (EM) log likelihood = -28407.925
Iteration 66: (EM) log likelihood = -28394.797
Iteration 67: (EM) log likelihood = -28381.448
Iteration 68: (EM) log likelihood = -28370.886
Iteration 69: (EM) log likelihood = -28359.941
Iteration 70: (EM) log likelihood = -28353.602
Iteration 71: (EM) log likelihood = -28349.467
Iteration 72: (EM) log likelihood = -28341.831
Iteration 73: (EM) log likelihood = -28336.207
Iteration 74: (EM) log likelihood = -28330.493
Iteration 75: (EM) log likelihood = -28325.567
Iteration 76: (EM) log likelihood = -28322.931
Iteration 77: (EM) log likelihood = -28320.607
Iteration 78: (EM) log likelihood = -28319.381
Iteration 79: (EM) log likelihood = -28316.358
Iteration 80: (EM) log likelihood = -28313.64
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6788.0953
Iteration 1: (class) log likelihood = -6788.0953
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29852.57
Iteration 1: (outcome) log likelihood = -29218.177
Iteration 2: (outcome) log likelihood = -29133.655
Iteration 3: (outcome) log likelihood = -29114.374
Iteration 4: (outcome) log likelihood = -29109.948
Iteration 5: (outcome) log likelihood = -29108.939
Iteration 6: (outcome) log likelihood = -29108.72
Iteration 7: (outcome) log likelihood = -29108.686
Iteration 8: (outcome) log likelihood = -29108.682
Iteration 9: (outcome) log likelihood = -29108.682
Iteration 10: (outcome) log likelihood = -29108.681
Iteration 11: (outcome) log likelihood = -29108.681
Iteration 12: (outcome) log likelihood = -29108.681
Refining starting values:
Iteration 0: (EM) log likelihood = -35864.826
Iteration 1: (EM) log likelihood = -35730.245
Iteration 2: (EM) log likelihood = -35271.86
Iteration 3: (EM) log likelihood = -34273.888
Iteration 4: (EM) log likelihood = -33145.934
Iteration 5: (EM) log likelihood = -32280.972
Iteration 6: (EM) log likelihood = -31660.548
Iteration 7: (EM) log likelihood = -31214.321
Iteration 8: (EM) log likelihood = -30872.265
Iteration 9: (EM) log likelihood = -30589.003
Iteration 10: (EM) log likelihood = -30341.533
Iteration 11: (EM) log likelihood = -30127.982
Iteration 12: (EM) log likelihood = -29947.643
Iteration 13: (EM) log likelihood = -29802.494
Iteration 14: (EM) log likelihood = -29688.447
Iteration 15: (EM) log likelihood = -29595.915
Iteration 16: (EM) log likelihood = -29520.71
Iteration 17: (EM) log likelihood = -29455.852
Iteration 18: (EM) log likelihood = -29399.82
Iteration 19: (EM) log likelihood = -29347.925
Iteration 20: (EM) log likelihood = -29301.565
Iteration 21: (EM) log likelihood = -29256.846
Iteration 22: (EM) log likelihood = -29213.566
Iteration 23: (EM) log likelihood = -29171.871
Iteration 24: (EM) log likelihood = -29131.49
Iteration 25: (EM) log likelihood = -29092.262
Iteration 26: (EM) log likelihood = -29053.671
Iteration 27: (EM) log likelihood = -29016.384
Iteration 28: (EM) log likelihood = -28981.127
Iteration 29: (EM) log likelihood = -28946.784
Iteration 30: (EM) log likelihood = -28915.648
Iteration 31: (EM) log likelihood = -28887.368
Iteration 32: (EM) log likelihood = -28861.039
Iteration 33: (EM) log likelihood = -28836.903
Iteration 34: (EM) log likelihood = -28815.073
Iteration 35: (EM) log likelihood = -28795.748
Iteration 36: (EM) log likelihood = -28778.18
Iteration 37: (EM) log likelihood = -28760.704
Iteration 38: (EM) log likelihood = -28745.829
Iteration 39: (EM) log likelihood = -28732.559
Iteration 40: (EM) log likelihood = -28721.338
Iteration 41: (EM) log likelihood = -28711.735
Iteration 42: (EM) log likelihood = -28703.631
Iteration 43: (EM) log likelihood = -28696.424
Iteration 44: (EM) log likelihood = -28690.046
Iteration 45: (EM) log likelihood = -28684.717
Iteration 46: (EM) log likelihood = -28679.965
Iteration 47: (EM) log likelihood = -28676.03
Iteration 48: (EM) log likelihood = -28672.701
Iteration 49: (EM) log likelihood = -28669.455
Iteration 50: (EM) log likelihood = -28666.588
Iteration 51: (EM) log likelihood = -28663.701
Iteration 52: (EM) log likelihood = -28661.193
Iteration 53: (EM) log likelihood = -28659.081
Iteration 54: (EM) log likelihood = -28657.074
Iteration 55: (EM) log likelihood = -28655.22
Iteration 56: (EM) log likelihood = -28653.674
Iteration 57: (EM) log likelihood = -28652.238
Iteration 58: (EM) log likelihood = -28650.66
Iteration 59: (EM) log likelihood = -28649.674
Iteration 60: (EM) log likelihood = -28648.883
Iteration 61: (EM) log likelihood = -28648.183
Iteration 62: (EM) log likelihood = -28647.514
Iteration 63: (EM) log likelihood = -28646.955
Iteration 64: (EM) log likelihood = -28646.433
Iteration 65: (EM) log likelihood = -28645.432
Iteration 66: (EM) log likelihood = -28645.268
Iteration 67: (EM) log likelihood = -28645.071
Iteration 68: (EM) log likelihood = -28644.235
Iteration 69: (EM) log likelihood = -28644.315
Iteration 70: (EM) log likelihood = -28644.315
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6786.098
Iteration 1: (class) log likelihood = -6786.098
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30440.016
Iteration 1: (outcome) log likelihood = -29361.894
Iteration 2: (outcome) log likelihood = -29154.829
Iteration 3: (outcome) log likelihood = -29117.366
Iteration 4: (outcome) log likelihood = -29108.446
Iteration 5: (outcome) log likelihood = -29106.598
Iteration 6: (outcome) log likelihood = -29106.213
Iteration 7: (outcome) log likelihood = -29106.124
Iteration 8: (outcome) log likelihood = -29106.103
Iteration 9: (outcome) log likelihood = -29106.098
Iteration 10: (outcome) log likelihood = -29106.098
Iteration 11: (outcome) log likelihood = -29106.098
Iteration 12: (outcome) log likelihood = -29106.098
Iteration 13: (outcome) log likelihood = -29106.098
Refining starting values:
Iteration 0: (EM) log likelihood = -35878.392
Iteration 1: (EM) log likelihood = -35822.175
Iteration 2: (EM) log likelihood = -35634.503
Iteration 3: (EM) log likelihood = -35079.033
Iteration 4: (EM) log likelihood = -34030.872
Iteration 5: (EM) log likelihood = -32981.653
Iteration 6: (EM) log likelihood = -32272.77
Iteration 7: (EM) log likelihood = -31800.448
Iteration 8: (EM) log likelihood = -31437.66
Iteration 9: (EM) log likelihood = -31104.822
Iteration 10: (EM) log likelihood = -30779.523
Iteration 11: (EM) log likelihood = -30480.836
Iteration 12: (EM) log likelihood = -30228.068
Iteration 13: (EM) log likelihood = -30029.463
Iteration 14: (EM) log likelihood = -29880.843
Iteration 15: (EM) log likelihood = -29771.868
Iteration 16: (EM) log likelihood = -29689.057
Iteration 17: (EM) log likelihood = -29625.564
Iteration 18: (EM) log likelihood = -29573.745
Iteration 19: (EM) log likelihood = -29529.696
Iteration 20: (EM) log likelihood = -29490.487
Iteration 21: (EM) log likelihood = -29454.608
Iteration 22: (EM) log likelihood = -29421.874
Iteration 23: (EM) log likelihood = -29391.071
Iteration 24: (EM) log likelihood = -29363.317
Iteration 25: (EM) log likelihood = -29336.998
Iteration 26: (EM) log likelihood = -29312.43
Iteration 27: (EM) log likelihood = -29288.736
Iteration 28: (EM) log likelihood = -29264.867
Iteration 29: (EM) log likelihood = -29241.616
Iteration 30: (EM) log likelihood = -29215.434
Iteration 31: (EM) log likelihood = -29188.583
Iteration 32: (EM) log likelihood = -29159.193
Iteration 33: (EM) log likelihood = -29128.255
Iteration 34: (EM) log likelihood = -29095.441
Iteration 35: (EM) log likelihood = -29060.35
Iteration 36: (EM) log likelihood = -29021.705
Iteration 37: (EM) log likelihood = -28981.126
Iteration 38: (EM) log likelihood = -28940.704
Iteration 39: (EM) log likelihood = -28902.268
Iteration 40: (EM) log likelihood = -28866.254
Iteration 41: (EM) log likelihood = -28832.203
Iteration 42: (EM) log likelihood = -28801.291
Iteration 43: (EM) log likelihood = -28773.358
Iteration 44: (EM) log likelihood = -28747.865
Iteration 45: (EM) log likelihood = -28724.838
Iteration 46: (EM) log likelihood = -28704.141
Iteration 47: (EM) log likelihood = -28685.417
Iteration 48: (EM) log likelihood = -28668.009
Iteration 49: (EM) log likelihood = -28648.928
Iteration 50: (EM) log likelihood = -28628.005
Iteration 51: (EM) log likelihood = -28606.503
Iteration 52: (EM) log likelihood = -28585.748
Iteration 53: (EM) log likelihood = -28565.398
Iteration 54: (EM) log likelihood = -28545.204
Iteration 55: (EM) log likelihood = -28526.079
Iteration 56: (EM) log likelihood = -28507.056
Iteration 57: (EM) log likelihood = -28487.984
Iteration 58: (EM) log likelihood = -28469.281
Iteration 59: (EM) log likelihood = -28451.274
Iteration 60: (EM) log likelihood = -28432.444
Iteration 61: (EM) log likelihood = -28414.721
Iteration 62: (EM) log likelihood = -28397.948
Iteration 63: (EM) log likelihood = -28381.655
Iteration 64: (EM) log likelihood = -28366.001
Iteration 65: (EM) log likelihood = -28351.496
Iteration 66: (EM) log likelihood = -28337.899
Iteration 67: (EM) log likelihood = -28324.495
Iteration 68: (EM) log likelihood = -28312.121
Iteration 69: (EM) log likelihood = -28300.918
Iteration 70: (EM) log likelihood = -28290.295
Iteration 71: (EM) log likelihood = -28279.874
Iteration 72: (EM) log likelihood = -28269.976
Iteration 73: (EM) log likelihood = -28260.75
Iteration 74: (EM) log likelihood = -28251.888
Iteration 75: (EM) log likelihood = -28243.685
Iteration 76: (EM) log likelihood = -28236.553
Iteration 77: (EM) log likelihood = -28229.762
Iteration 78: (EM) log likelihood = -28223.335
Iteration 79: (EM) log likelihood = -28217.291
Iteration 80: (EM) log likelihood = -28211.64
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6784.3071
Iteration 1: (class) log likelihood = -6784.3071
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29332.399
Iteration 1: (outcome) log likelihood = -29166.932
Iteration 2: (outcome) log likelihood = -29115.362
Iteration 3: (outcome) log likelihood = -29107.847
Iteration 4: (outcome) log likelihood = -29106.018
Iteration 5: (outcome) log likelihood = -29105.628
Iteration 6: (outcome) log likelihood = -29105.546
Iteration 7: (outcome) log likelihood = -29105.528
Iteration 8: (outcome) log likelihood = -29105.524
Iteration 9: (outcome) log likelihood = -29105.523
Iteration 10: (outcome) log likelihood = -29105.523
Iteration 11: (outcome) log likelihood = -29105.523
Iteration 12: (outcome) log likelihood = -29105.523
Refining starting values:
Iteration 0: (EM) log likelihood = -35861.275
Iteration 1: (EM) log likelihood = -35744.422
Iteration 2: (EM) log likelihood = -35351.406
Iteration 3: (EM) log likelihood = -34457.944
Iteration 4: (EM) log likelihood = -33392.276
Iteration 5: (EM) log likelihood = -32558.752
Iteration 6: (EM) log likelihood = -31933.779
Iteration 7: (EM) log likelihood = -31448.656
Iteration 8: (EM) log likelihood = -31078.183
Iteration 9: (EM) log likelihood = -30804.23
Iteration 10: (EM) log likelihood = -30592.883
Iteration 11: (EM) log likelihood = -30418.419
Iteration 12: (EM) log likelihood = -30259.844
Iteration 13: (EM) log likelihood = -30116.018
Iteration 14: (EM) log likelihood = -29981.958
Iteration 15: (EM) log likelihood = -29862.699
Iteration 16: (EM) log likelihood = -29761.425
Iteration 17: (EM) log likelihood = -29672.189
Iteration 18: (EM) log likelihood = -29594.824
Iteration 19: (EM) log likelihood = -29527.576
Iteration 20: (EM) log likelihood = -29469.08
Iteration 21: (EM) log likelihood = -29420.601
Iteration 22: (EM) log likelihood = -29377.329
Iteration 23: (EM) log likelihood = -29342.398
Iteration 24: (EM) log likelihood = -29309.226
Iteration 25: (EM) log likelihood = -29279.208
Iteration 26: (EM) log likelihood = -29253.363
Iteration 27: (EM) log likelihood = -29228.381
Iteration 28: (EM) log likelihood = -29204.689
Iteration 29: (EM) log likelihood = -29181.706
Iteration 30: (EM) log likelihood = -29160.905
Iteration 31: (EM) log likelihood = -29141.081
Iteration 32: (EM) log likelihood = -29122.535
Iteration 33: (EM) log likelihood = -29103.321
Iteration 34: (EM) log likelihood = -29086.354
Iteration 35: (EM) log likelihood = -29067.948
Iteration 36: (EM) log likelihood = -29051.306
Iteration 37: (EM) log likelihood = -29034.606
Iteration 38: (EM) log likelihood = -29018.868
Iteration 39: (EM) log likelihood = -29003.324
Iteration 40: (EM) log likelihood = -28988.764
Iteration 41: (EM) log likelihood = -28976.529
Iteration 42: (EM) log likelihood = -28963.323
Iteration 43: (EM) log likelihood = -28952.408
Iteration 44: (EM) log likelihood = -28941.373
Iteration 45: (EM) log likelihood = -28932.451
Iteration 46: (EM) log likelihood = -28923.568
Iteration 47: (EM) log likelihood = -28914.6
Iteration 48: (EM) log likelihood = -28907.112
Iteration 49: (EM) log likelihood = -28899.14
Iteration 50: (EM) log likelihood = -28893.276
Iteration 51: (EM) log likelihood = -28887.664
Iteration 52: (EM) log likelihood = -28883.493
Iteration 53: (EM) log likelihood = -28878.727
Iteration 54: (EM) log likelihood = -28875.226
Iteration 55: (EM) log likelihood = -28872.021
Iteration 56: (EM) log likelihood = -28869.047
Iteration 57: (EM) log likelihood = -28865.428
Iteration 58: (EM) log likelihood = -28861.725
Iteration 59: (EM) log likelihood = -28857.465
Iteration 60: (EM) log likelihood = -28855.375
Iteration 61: (EM) log likelihood = -28852.2
Iteration 62: (EM) log likelihood = -28849.376
Iteration 63: (EM) log likelihood = -28846.922
Iteration 64: (EM) log likelihood = -28844.898
Iteration 65: (EM) log likelihood = -28843.771
Iteration 66: (EM) log likelihood = -28842.568
Iteration 67: (EM) log likelihood = -28841.439
Iteration 68: (EM) log likelihood = -28839.624
Iteration 69: (EM) log likelihood = -28835.336
Iteration 70: (EM) log likelihood = -28834.817
Iteration 71: (EM) log likelihood = -28833.315
Iteration 72: (EM) log likelihood = -28832.386
Iteration 73: (EM) log likelihood = -28832.575
Iteration 74: (EM) log likelihood = -28831.568
Iteration 75: (EM) log likelihood = -28831.552
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.3462
Iteration 1: (class) log likelihood = -6787.3462
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29111.361
Iteration 1: (outcome) log likelihood = -29111.361
Refining starting values:
Iteration 0: (EM) log likelihood = -35849.902
Iteration 1: (EM) log likelihood = -35648.558
Iteration 2: (EM) log likelihood = -34998.661
Iteration 3: (EM) log likelihood = -33798.634
Iteration 4: (EM) log likelihood = -32743.962
Iteration 5: (EM) log likelihood = -32081.171
Iteration 6: (EM) log likelihood = -31639.232
Iteration 7: (EM) log likelihood = -31296.243
Iteration 8: (EM) log likelihood = -30994.776
Iteration 9: (EM) log likelihood = -30711.151
Iteration 10: (EM) log likelihood = -30442.918
Iteration 11: (EM) log likelihood = -30205.477
Iteration 12: (EM) log likelihood = -30004.382
Iteration 13: (EM) log likelihood = -29838.944
Iteration 14: (EM) log likelihood = -29703.21
Iteration 15: (EM) log likelihood = -29591.83
Iteration 16: (EM) log likelihood = -29496.796
Iteration 17: (EM) log likelihood = -29415.245
Iteration 18: (EM) log likelihood = -29345.606
Iteration 19: (EM) log likelihood = -29282.618
Iteration 20: (EM) log likelihood = -29224.177
Iteration 21: (EM) log likelihood = -29175.707
Iteration 22: (EM) log likelihood = -29130.936
Iteration 23: (EM) log likelihood = -29090.056
Iteration 24: (EM) log likelihood = -29052.986
Iteration 25: (EM) log likelihood = -29018.773
Iteration 26: (EM) log likelihood = -28989.378
Iteration 27: (EM) log likelihood = -28960.18
Iteration 28: (EM) log likelihood = -28933.295
Iteration 29: (EM) log likelihood = -28908.353
Iteration 30: (EM) log likelihood = -28885.553
Iteration 31: (EM) log likelihood = -28862.554
Iteration 32: (EM) log likelihood = -28840.765
Iteration 33: (EM) log likelihood = -28820.198
Iteration 34: (EM) log likelihood = -28800.525
Iteration 35: (EM) log likelihood = -28781.912
Iteration 36: (EM) log likelihood = -28763.873
Iteration 37: (EM) log likelihood = -28747.135
Iteration 38: (EM) log likelihood = -28730.619
Iteration 39: (EM) log likelihood = -28713.814
Iteration 40: (EM) log likelihood = -28697.452
Iteration 41: (EM) log likelihood = -28681.17
Iteration 42: (EM) log likelihood = -28664.9
Iteration 43: (EM) log likelihood = -28648.73
Iteration 44: (EM) log likelihood = -28633.362
Iteration 45: (EM) log likelihood = -28618.336
Iteration 46: (EM) log likelihood = -28603.263
Iteration 47: (EM) log likelihood = -28588.591
Iteration 48: (EM) log likelihood = -28574.633
Iteration 49: (EM) log likelihood = -28559.965
Iteration 50: (EM) log likelihood = -28547.117
Iteration 51: (EM) log likelihood = -28534.82
Iteration 52: (EM) log likelihood = -28523.34
Iteration 53: (EM) log likelihood = -28511.796
Iteration 54: (EM) log likelihood = -28500.523
Iteration 55: (EM) log likelihood = -28488.317
Iteration 56: (EM) log likelihood = -28476.753
Iteration 57: (EM) log likelihood = -28466.584
Iteration 58: (EM) log likelihood = -28457.263
Iteration 59: (EM) log likelihood = -28449.747
Iteration 60: (EM) log likelihood = -28443.47
Iteration 61: (EM) log likelihood = -28438.396
Iteration 62: (EM) log likelihood = -28434.846
Iteration 63: (EM) log likelihood = -28432.126
Iteration 64: (EM) log likelihood = -28429.414
Iteration 65: (EM) log likelihood = -28427.041
Iteration 66: (EM) log likelihood = -28425.468
Iteration 67: (EM) log likelihood = -28425.884
Iteration 68: (EM) log likelihood = -28425.281
Iteration 69: (EM) log likelihood = -28424.293
Iteration 70: (EM) log likelihood = -28421.865
Iteration 71: (EM) log likelihood = -28417.453
Iteration 72: (EM) log likelihood = -28413.095
Iteration 73: (EM) log likelihood = -28405.979
Iteration 74: (EM) log likelihood = -28398.892
Iteration 75: (EM) log likelihood = -28389.321
Iteration 76: (EM) log likelihood = -28378.458
Iteration 77: (EM) log likelihood = -28369.609
Iteration 78: (EM) log likelihood = -28358.114
Iteration 79: (EM) log likelihood = -28348.794
Iteration 80: (EM) log likelihood = -28337.424
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.6233
Iteration 1: (class) log likelihood = -6787.6233
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29723.213
Iteration 1: (outcome) log likelihood = -29254.392
Iteration 2: (outcome) log likelihood = -29141.042
Iteration 3: (outcome) log likelihood = -29118.19
Iteration 4: (outcome) log likelihood = -29113.831
Iteration 5: (outcome) log likelihood = -29112.893
Iteration 6: (outcome) log likelihood = -29112.672
Iteration 7: (outcome) log likelihood = -29112.622
Iteration 8: (outcome) log likelihood = -29112.611
Iteration 9: (outcome) log likelihood = -29112.609
Iteration 10: (outcome) log likelihood = -29112.609
Iteration 11: (outcome) log likelihood = -29112.609
Iteration 12: (outcome) log likelihood = -29112.609
Refining starting values:
Iteration 0: (EM) log likelihood = -35885.89
Iteration 1: (EM) log likelihood = -35837.23
Iteration 2: (EM) log likelihood = -35695.941
Iteration 3: (EM) log likelihood = -35324.495
Iteration 4: (EM) log likelihood = -34600.517
Iteration 5: (EM) log likelihood = -33667.19
Iteration 6: (EM) log likelihood = -32736.995
Iteration 7: (EM) log likelihood = -31878.394
Iteration 8: (EM) log likelihood = -31164.96
Iteration 9: (EM) log likelihood = -30647.365
Iteration 10: (EM) log likelihood = -30291.457
Iteration 11: (EM) log likelihood = -30012.209
Iteration 12: (EM) log likelihood = -29777.101
Iteration 13: (EM) log likelihood = -29592.311
Iteration 14: (EM) log likelihood = -29460.025
Iteration 15: (EM) log likelihood = -29366.787
Iteration 16: (EM) log likelihood = -29298.496
Iteration 17: (EM) log likelihood = -29245.486
Iteration 18: (EM) log likelihood = -29201.82
Iteration 19: (EM) log likelihood = -29166.428
Iteration 20: (EM) log likelihood = -29135.69
Iteration 21: (EM) log likelihood = -29109.551
Iteration 22: (EM) log likelihood = -29083.938
Iteration 23: (EM) log likelihood = -29063.079
Iteration 24: (EM) log likelihood = -29046.92
Iteration 25: (EM) log likelihood = -29029.314
Iteration 26: (EM) log likelihood = -29013.447
Iteration 27: (EM) log likelihood = -28998.318
Iteration 28: (EM) log likelihood = -28983.053
Iteration 29: (EM) log likelihood = -28968.046
Iteration 30: (EM) log likelihood = -28957.2
Iteration 31: (EM) log likelihood = -28941.8
Iteration 32: (EM) log likelihood = -28929.024
Iteration 33: (EM) log likelihood = -28916.37
Iteration 34: (EM) log likelihood = -28901.896
Iteration 35: (EM) log likelihood = -28886.526
Iteration 36: (EM) log likelihood = -28872.892
Iteration 37: (EM) log likelihood = -28860.67
Iteration 38: (EM) log likelihood = -28847.232
Iteration 39: (EM) log likelihood = -28835.256
Iteration 40: (EM) log likelihood = -28821.737
Iteration 41: (EM) log likelihood = -28809.209
Iteration 42: (EM) log likelihood = -28801.769
Iteration 43: (EM) log likelihood = -28790.659
Iteration 44: (EM) log likelihood = -28781.428
Iteration 45: (EM) log likelihood = -28769.508
Iteration 46: (EM) log likelihood = -28757.602
Iteration 47: (EM) log likelihood = -28746.123
Iteration 48: (EM) log likelihood = -28735.439
Iteration 49: (EM) log likelihood = -28724.078
Iteration 50: (EM) log likelihood = -28713.164
Iteration 51: (EM) log likelihood = -28703.491
Iteration 52: (EM) log likelihood = -28691.378
Iteration 53: (EM) log likelihood = -28680.415
Iteration 54: (EM) log likelihood = -28669.505
Iteration 55: (EM) log likelihood = -28658.154
Iteration 56: (EM) log likelihood = -28645.183
Iteration 57: (EM) log likelihood = -28634.082
Iteration 58: (EM) log likelihood = -28621.541
Iteration 59: (EM) log likelihood = -28608.301
Iteration 60: (EM) log likelihood = -28595.76
Iteration 61: (EM) log likelihood = -28582.854
Iteration 62: (EM) log likelihood = -28571.098
Iteration 63: (EM) log likelihood = -28559.048
Iteration 64: (EM) log likelihood = -28547.473
Iteration 65: (EM) log likelihood = -28535.503
Iteration 66: (EM) log likelihood = -28524.16
Iteration 67: (EM) log likelihood = -28513.734
Iteration 68: (EM) log likelihood = -28504.077
Iteration 69: (EM) log likelihood = -28494.676
Iteration 70: (EM) log likelihood = -28485.46
Iteration 71: (EM) log likelihood = -28477.365
Iteration 72: (EM) log likelihood = -28470.829
Iteration 73: (EM) log likelihood = -28464.798
Iteration 74: (EM) log likelihood = -28457.898
Iteration 75: (EM) log likelihood = -28451.289
Iteration 76: (EM) log likelihood = -28446.154
Iteration 77: (EM) log likelihood = -28441.521
Iteration 78: (EM) log likelihood = -28435.831
Iteration 79: (EM) log likelihood = -28431.081
Iteration 80: (EM) log likelihood = -28427.049
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.903
Iteration 1: (class) log likelihood = -6787.903
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29946.643
Iteration 1: (outcome) log likelihood = -29276.13
Iteration 2: (outcome) log likelihood = -29138.526
Iteration 3: (outcome) log likelihood = -29114.417
Iteration 4: (outcome) log likelihood = -29109.638
Iteration 5: (outcome) log likelihood = -29108.506
Iteration 6: (outcome) log likelihood = -29108.324
Iteration 7: (outcome) log likelihood = -29108.279
Iteration 8: (outcome) log likelihood = -29108.27
Iteration 9: (outcome) log likelihood = -29108.268
Iteration 10: (outcome) log likelihood = -29108.267
Iteration 11: (outcome) log likelihood = -29108.267
Iteration 12: (outcome) log likelihood = -29108.267
Refining starting values:
Iteration 0: (EM) log likelihood = -35874.974
Iteration 1: (EM) log likelihood = -35802.745
Iteration 2: (EM) log likelihood = -35590.864
Iteration 3: (EM) log likelihood = -35069.051
Iteration 4: (EM) log likelihood = -34181.519
Iteration 5: (EM) log likelihood = -33151.011
Iteration 6: (EM) log likelihood = -32213.85
Iteration 7: (EM) log likelihood = -31489.576
Iteration 8: (EM) log likelihood = -30969.744
Iteration 9: (EM) log likelihood = -30580.152
Iteration 10: (EM) log likelihood = -30267.572
Iteration 11: (EM) log likelihood = -30034.068
Iteration 12: (EM) log likelihood = -29873.249
Iteration 13: (EM) log likelihood = -29766.564
Iteration 14: (EM) log likelihood = -29693.336
Iteration 15: (EM) log likelihood = -29638.261
Iteration 16: (EM) log likelihood = -29593.089
Iteration 17: (EM) log likelihood = -29557.85
Iteration 18: (EM) log likelihood = -29524.177
Iteration 19: (EM) log likelihood = -29498.479
Iteration 20: (EM) log likelihood = -29473.902
Iteration 21: (EM) log likelihood = -29450.956
Iteration 22: (EM) log likelihood = -29430.307
Iteration 23: (EM) log likelihood = -29408.399
Iteration 24: (EM) log likelihood = -29387.747
Iteration 25: (EM) log likelihood = -29366.564
Iteration 26: (EM) log likelihood = -29347.775
Iteration 27: (EM) log likelihood = -29325.655
Iteration 28: (EM) log likelihood = -29305.548
Iteration 29: (EM) log likelihood = -29285.575
Iteration 30: (EM) log likelihood = -29264.46
Iteration 31: (EM) log likelihood = -29246.775
Iteration 32: (EM) log likelihood = -29228.666
Iteration 33: (EM) log likelihood = -29210.945
Iteration 34: (EM) log likelihood = -29193.826
Iteration 35: (EM) log likelihood = -29179.623
Iteration 36: (EM) log likelihood = -29163.942
Iteration 37: (EM) log likelihood = -29150.95
Iteration 38: (EM) log likelihood = -29138.022
Iteration 39: (EM) log likelihood = -29125.492
Iteration 40: (EM) log likelihood = -29112.484
Iteration 41: (EM) log likelihood = -29101.896
Iteration 42: (EM) log likelihood = -29090.266
Iteration 43: (EM) log likelihood = -29080.216
Iteration 44: (EM) log likelihood = -29070.5
Iteration 45: (EM) log likelihood = -29061.528
Iteration 46: (EM) log likelihood = -29051.966
Iteration 47: (EM) log likelihood = -29045.289
Iteration 48: (EM) log likelihood = -29038.684
Iteration 49: (EM) log likelihood = -29031.28
Iteration 50: (EM) log likelihood = -29023.111
Iteration 51: (EM) log likelihood = -29015.699
Iteration 52: (EM) log likelihood = -29009.597
Iteration 53: (EM) log likelihood = -29002.064
Iteration 54: (EM) log likelihood = -28998.788
Iteration 55: (EM) log likelihood = -28993.01
Iteration 56: (EM) log likelihood = -28987.981
Iteration 57: (EM) log likelihood = -28982.553
Iteration 58: (EM) log likelihood = -28977.824
Iteration 59: (EM) log likelihood = -28973.398
Iteration 60: (EM) log likelihood = -28969.104
Iteration 61: (EM) log likelihood = -28966.929
Iteration 62: (EM) log likelihood = -28962.39
Iteration 63: (EM) log likelihood = -28958.055
Iteration 64: (EM) log likelihood = -28954.61
Iteration 65: (EM) log likelihood = -28951.168
Iteration 66: (EM) log likelihood = -28947.521
Iteration 67: (EM) log likelihood = -28944.23
Iteration 68: (EM) log likelihood = -28940.875
Iteration 69: (EM) log likelihood = -28937.249
Iteration 70: (EM) log likelihood = -28933.857
Iteration 71: (EM) log likelihood = -28931.011
Iteration 72: (EM) log likelihood = -28927.645
Iteration 73: (EM) log likelihood = -28923.968
Iteration 74: (EM) log likelihood = -28920.446
Iteration 75: (EM) log likelihood = -28917.045
Iteration 76: (EM) log likelihood = -28913.646
Iteration 77: (EM) log likelihood = -28910.027
Iteration 78: (EM) log likelihood = -28906.251
Iteration 79: (EM) log likelihood = -28902.798
Iteration 80: (EM) log likelihood = -28899.469
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6784.3127
Iteration 1: (class) log likelihood = -6784.3127
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29306.979
Iteration 1: (outcome) log likelihood = -29166.958
Iteration 2: (outcome) log likelihood = -29121.882
Iteration 3: (outcome) log likelihood = -29114.487
Iteration 4: (outcome) log likelihood = -29112.909
Iteration 5: (outcome) log likelihood = -29112.585
Iteration 6: (outcome) log likelihood = -29112.512
Iteration 7: (outcome) log likelihood = -29112.494
Iteration 8: (outcome) log likelihood = -29112.491
Iteration 9: (outcome) log likelihood = -29112.49
Iteration 10: (outcome) log likelihood = -29112.49
Iteration 11: (outcome) log likelihood = -29112.49
Iteration 12: (outcome) log likelihood = -29112.49
Refining starting values:
Iteration 0: (EM) log likelihood = -35858.661
Iteration 1: (EM) log likelihood = -35701.746
Iteration 2: (EM) log likelihood = -35215.97
Iteration 3: (EM) log likelihood = -34300.767
Iteration 4: (EM) log likelihood = -33360.013
Iteration 5: (EM) log likelihood = -32692.357
Iteration 6: (EM) log likelihood = -32247.342
Iteration 7: (EM) log likelihood = -31916.871
Iteration 8: (EM) log likelihood = -31603.265
Iteration 9: (EM) log likelihood = -31275.874
Iteration 10: (EM) log likelihood = -30952.684
Iteration 11: (EM) log likelihood = -30657.593
Iteration 12: (EM) log likelihood = -30397.956
Iteration 13: (EM) log likelihood = -30174.594
Iteration 14: (EM) log likelihood = -29992.992
Iteration 15: (EM) log likelihood = -29845.277
Iteration 16: (EM) log likelihood = -29723.37
Iteration 17: (EM) log likelihood = -29621.416
Iteration 18: (EM) log likelihood = -29534.861
Iteration 19: (EM) log likelihood = -29463.132
Iteration 20: (EM) log likelihood = -29400.701
Iteration 21: (EM) log likelihood = -29346.334
Iteration 22: (EM) log likelihood = -29298.928
Iteration 23: (EM) log likelihood = -29256.862
Iteration 24: (EM) log likelihood = -29219.419
Iteration 25: (EM) log likelihood = -29185.654
Iteration 26: (EM) log likelihood = -29154.847
Iteration 27: (EM) log likelihood = -29126.143
Iteration 28: (EM) log likelihood = -29099.256
Iteration 29: (EM) log likelihood = -29073.432
Iteration 30: (EM) log likelihood = -29048.537
Iteration 31: (EM) log likelihood = -29024.876
Iteration 32: (EM) log likelihood = -29002.192
Iteration 33: (EM) log likelihood = -28980.763
Iteration 34: (EM) log likelihood = -28960.811
Iteration 35: (EM) log likelihood = -28941.554
Iteration 36: (EM) log likelihood = -28923.102
Iteration 37: (EM) log likelihood = -28905.628
Iteration 38: (EM) log likelihood = -28889.741
Iteration 39: (EM) log likelihood = -28874.276
Iteration 40: (EM) log likelihood = -28859.344
Iteration 41: (EM) log likelihood = -28845.539
Iteration 42: (EM) log likelihood = -28833.016
Iteration 43: (EM) log likelihood = -28820.777
Iteration 44: (EM) log likelihood = -28808.915
Iteration 45: (EM) log likelihood = -28798.089
Iteration 46: (EM) log likelihood = -28787.947
Iteration 47: (EM) log likelihood = -28778.552
Iteration 48: (EM) log likelihood = -28769.541
Iteration 49: (EM) log likelihood = -28761.453
Iteration 50: (EM) log likelihood = -28753.544
Iteration 51: (EM) log likelihood = -28746.34
Iteration 52: (EM) log likelihood = -28738.203
Iteration 53: (EM) log likelihood = -28731.124
Iteration 54: (EM) log likelihood = -28724.508
Iteration 55: (EM) log likelihood = -28717.857
Iteration 56: (EM) log likelihood = -28712.021
Iteration 57: (EM) log likelihood = -28706.255
Iteration 58: (EM) log likelihood = -28700.504
Iteration 59: (EM) log likelihood = -28695.008
Iteration 60: (EM) log likelihood = -28689.973
Iteration 61: (EM) log likelihood = -28684.8
Iteration 62: (EM) log likelihood = -28680.1
Iteration 63: (EM) log likelihood = -28675.193
Iteration 64: (EM) log likelihood = -28670.514
Iteration 65: (EM) log likelihood = -28665.895
Iteration 66: (EM) log likelihood = -28661.631
Iteration 67: (EM) log likelihood = -28657.425
Iteration 68: (EM) log likelihood = -28652.984
Iteration 69: (EM) log likelihood = -28649.174
Iteration 70: (EM) log likelihood = -28644.684
Iteration 71: (EM) log likelihood = -28640.896
Iteration 72: (EM) log likelihood = -28636.935
Iteration 73: (EM) log likelihood = -28632.869
Iteration 74: (EM) log likelihood = -28628.927
Iteration 75: (EM) log likelihood = -28625.195
Iteration 76: (EM) log likelihood = -28621.098
Iteration 77: (EM) log likelihood = -28617.578
Iteration 78: (EM) log likelihood = -28613.928
Iteration 79: (EM) log likelihood = -28610.271
Iteration 80: (EM) log likelihood = -28606.725
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6786.5361
Iteration 1: (class) log likelihood = -6786.5361
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29674.976
Iteration 1: (outcome) log likelihood = -29237.152
Iteration 2: (outcome) log likelihood = -29139.943
Iteration 3: (outcome) log likelihood = -29124.094
Iteration 4: (outcome) log likelihood = -29120.696
Iteration 5: (outcome) log likelihood = -29119.95
Iteration 6: (outcome) log likelihood = -29119.828
Iteration 7: (outcome) log likelihood = -29119.798
Iteration 8: (outcome) log likelihood = -29119.792
Iteration 9: (outcome) log likelihood = -29119.791
Iteration 10: (outcome) log likelihood = -29119.79
Iteration 11: (outcome) log likelihood = -29119.79
Iteration 12: (outcome) log likelihood = -29119.79
Refining starting values:
Iteration 0: (EM) log likelihood = -35893.026
Iteration 1: (EM) log likelihood = -35826.617
Iteration 2: (EM) log likelihood = -35571.46
Iteration 3: (EM) log likelihood = -34834.648
Iteration 4: (EM) log likelihood = -33729.059
Iteration 5: (EM) log likelihood = -32859.971
Iteration 6: (EM) log likelihood = -32266.795
Iteration 7: (EM) log likelihood = -31780.452
Iteration 8: (EM) log likelihood = -31335.576
Iteration 9: (EM) log likelihood = -30930.567
Iteration 10: (EM) log likelihood = -30588.764
Iteration 11: (EM) log likelihood = -30321.441
Iteration 12: (EM) log likelihood = -30123.089
Iteration 13: (EM) log likelihood = -29969.521
Iteration 14: (EM) log likelihood = -29847.836
Iteration 15: (EM) log likelihood = -29747.695
Iteration 16: (EM) log likelihood = -29664.6
Iteration 17: (EM) log likelihood = -29594.299
Iteration 18: (EM) log likelihood = -29537.835
Iteration 19: (EM) log likelihood = -29491.774
Iteration 20: (EM) log likelihood = -29454.205
Iteration 21: (EM) log likelihood = -29422.504
Iteration 22: (EM) log likelihood = -29397.071
Iteration 23: (EM) log likelihood = -29374.851
Iteration 24: (EM) log likelihood = -29357.105
Iteration 25: (EM) log likelihood = -29342.476
Iteration 26: (EM) log likelihood = -29328.933
Iteration 27: (EM) log likelihood = -29317.472
Iteration 28: (EM) log likelihood = -29307.284
Iteration 29: (EM) log likelihood = -29298.57
Iteration 30: (EM) log likelihood = -29290.659
Iteration 31: (EM) log likelihood = -29283.367
Iteration 32: (EM) log likelihood = -29276.46
Iteration 33: (EM) log likelihood = -29269.004
Iteration 34: (EM) log likelihood = -29262.697
Iteration 35: (EM) log likelihood = -29256.559
Iteration 36: (EM) log likelihood = -29249.924
Iteration 37: (EM) log likelihood = -29243.624
Iteration 38: (EM) log likelihood = -29236.111
Iteration 39: (EM) log likelihood = -29228.63
Iteration 40: (EM) log likelihood = -29222.006
Iteration 41: (EM) log likelihood = -29215.13
Iteration 42: (EM) log likelihood = -29208.585
Iteration 43: (EM) log likelihood = -29202.052
Iteration 44: (EM) log likelihood = -29194.525
Iteration 45: (EM) log likelihood = -29186.695
Iteration 46: (EM) log likelihood = -29179.019
Iteration 47: (EM) log likelihood = -29171.824
Iteration 48: (EM) log likelihood = -29165.806
Iteration 49: (EM) log likelihood = -29157.682
Iteration 50: (EM) log likelihood = -29147.557
Iteration 51: (EM) log likelihood = -29141.303
Iteration 52: (EM) log likelihood = -29134.728
Iteration 53: (EM) log likelihood = -29126.005
Iteration 54: (EM) log likelihood = -29118.224
Iteration 55: (EM) log likelihood = -29111.964
Iteration 56: (EM) log likelihood = -29105.454
Iteration 57: (EM) log likelihood = -29098.857
Iteration 58: (EM) log likelihood = -29092.247
Iteration 59: (EM) log likelihood = -29084.944
Iteration 60: (EM) log likelihood = -29077.642
Iteration 61: (EM) log likelihood = -29070.876
Iteration 62: (EM) log likelihood = -29064.039
Iteration 63: (EM) log likelihood = -29056.613
Iteration 64: (EM) log likelihood = -29049.865
Iteration 65: (EM) log likelihood = -29042.276
Iteration 66: (EM) log likelihood = -29034.051
Iteration 67: (EM) log likelihood = -29027.147
Iteration 68: (EM) log likelihood = -29019.853
Iteration 69: (EM) log likelihood = -29013.148
Iteration 70: (EM) log likelihood = -29006.457
Iteration 71: (EM) log likelihood = -29000.021
Iteration 72: (EM) log likelihood = -28993.114
Iteration 73: (EM) log likelihood = -28986.294
Iteration 74: (EM) log likelihood = -28979.564
Iteration 75: (EM) log likelihood = -28973.441
Iteration 76: (EM) log likelihood = -28966.744
Iteration 77: (EM) log likelihood = -28960.235
Iteration 78: (EM) log likelihood = -28953.852
Iteration 79: (EM) log likelihood = -28947.387
Iteration 80: (EM) log likelihood = -28940.938
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6788.2559
Iteration 1: (class) log likelihood = -6788.2559
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29772.693
Iteration 1: (outcome) log likelihood = -29254.807
Iteration 2: (outcome) log likelihood = -29132.87
Iteration 3: (outcome) log likelihood = -29110.954
Iteration 4: (outcome) log likelihood = -29106.134
Iteration 5: (outcome) log likelihood = -29105.068
Iteration 6: (outcome) log likelihood = -29104.899
Iteration 7: (outcome) log likelihood = -29104.88
Iteration 8: (outcome) log likelihood = -29104.876
Iteration 9: (outcome) log likelihood = -29104.875
Iteration 10: (outcome) log likelihood = -29104.875
Iteration 11: (outcome) log likelihood = -29104.875
Iteration 12: (outcome) log likelihood = -29104.875
Refining starting values:
Iteration 0: (EM) log likelihood = -35870.727
Iteration 1: (EM) log likelihood = -35771.101
Iteration 2: (EM) log likelihood = -35414.912
Iteration 3: (EM) log likelihood = -34498.314
Iteration 4: (EM) log likelihood = -33318.704
Iteration 5: (EM) log likelihood = -32412.867
Iteration 6: (EM) log likelihood = -31781.909
Iteration 7: (EM) log likelihood = -31315.281
Iteration 8: (EM) log likelihood = -30947.785
Iteration 9: (EM) log likelihood = -30656.664
Iteration 10: (EM) log likelihood = -30439.15
Iteration 11: (EM) log likelihood = -30272.958
Iteration 12: (EM) log likelihood = -30138.209
Iteration 13: (EM) log likelihood = -30021.185
Iteration 14: (EM) log likelihood = -29915.598
Iteration 15: (EM) log likelihood = -29819.152
Iteration 16: (EM) log likelihood = -29732.813
Iteration 17: (EM) log likelihood = -29654.946
Iteration 18: (EM) log likelihood = -29582.843
Iteration 19: (EM) log likelihood = -29519.893
Iteration 20: (EM) log likelihood = -29463.422
Iteration 21: (EM) log likelihood = -29411.677
Iteration 22: (EM) log likelihood = -29363.568
Iteration 23: (EM) log likelihood = -29320.951
Iteration 24: (EM) log likelihood = -29279.815
Iteration 25: (EM) log likelihood = -29243.589
Iteration 26: (EM) log likelihood = -29206.595
Iteration 27: (EM) log likelihood = -29170.162
Iteration 28: (EM) log likelihood = -29135.311
Iteration 29: (EM) log likelihood = -29099.053
Iteration 30: (EM) log likelihood = -29064.809
Iteration 31: (EM) log likelihood = -29031.115
Iteration 32: (EM) log likelihood = -28997.355
Iteration 33: (EM) log likelihood = -28964.454
Iteration 34: (EM) log likelihood = -28930.491
Iteration 35: (EM) log likelihood = -28897.318
Iteration 36: (EM) log likelihood = -28863.611
Iteration 37: (EM) log likelihood = -28828.772
Iteration 38: (EM) log likelihood = -28795.652
Iteration 39: (EM) log likelihood = -28762.652
Iteration 40: (EM) log likelihood = -28730.934
Iteration 41: (EM) log likelihood = -28700.322
Iteration 42: (EM) log likelihood = -28670.237
Iteration 43: (EM) log likelihood = -28642.312
Iteration 44: (EM) log likelihood = -28614.297
Iteration 45: (EM) log likelihood = -28586.692
Iteration 46: (EM) log likelihood = -28560.603
Iteration 47: (EM) log likelihood = -28536.868
Iteration 48: (EM) log likelihood = -28512.685
Iteration 49: (EM) log likelihood = -28488.999
Iteration 50: (EM) log likelihood = -28466.747
Iteration 51: (EM) log likelihood = -28445.942
Iteration 52: (EM) log likelihood = -28425.21
Iteration 53: (EM) log likelihood = -28405.951
Iteration 54: (EM) log likelihood = -28388.004
Iteration 55: (EM) log likelihood = -28371.478
Iteration 56: (EM) log likelihood = -28358.006
Iteration 57: (EM) log likelihood = -28344.792
Iteration 58: (EM) log likelihood = -28333.185
Iteration 59: (EM) log likelihood = -28323.273
Iteration 60: (EM) log likelihood = -28315.295
Iteration 61: (EM) log likelihood = -28308.068
Iteration 62: (EM) log likelihood = -28297.398
Iteration 63: (EM) log likelihood = -28294.107
Iteration 64: (EM) log likelihood = -28290.994
Iteration 65: (EM) log likelihood = -28289.386
Iteration 66: (EM) log likelihood = -28286.322
Iteration 67: (EM) log likelihood = -28283.69
Iteration 68: (EM) log likelihood = -28281.689
Iteration 69: (EM) log likelihood = -28280.02
Iteration 70: (EM) log likelihood = -28278.738
Iteration 71: (EM) log likelihood = -28279.376
Iteration 72: (EM) log likelihood = -28279.734
Iteration 73: (EM) log likelihood = -28280.074
Iteration 74: (EM) log likelihood = -28280.523
Iteration 75: (EM) log likelihood = -28281.35
Iteration 76: (EM) log likelihood = -28282.303
Iteration 77: (EM) log likelihood = -28283.305
Iteration 78: (EM) log likelihood = -28286.218
Iteration 79: (EM) log likelihood = -28287.129
Iteration 80: (EM) log likelihood = -28288.584
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.3326
Iteration 1: (class) log likelihood = -6787.3326
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30087.344
Iteration 1: (outcome) log likelihood = -29287.001
Iteration 2: (outcome) log likelihood = -29142.879
Iteration 3: (outcome) log likelihood = -29114.439
Iteration 4: (outcome) log likelihood = -29108.571
Iteration 5: (outcome) log likelihood = -29107.241
Iteration 6: (outcome) log likelihood = -29107.023
Iteration 7: (outcome) log likelihood = -29106.971
Iteration 8: (outcome) log likelihood = -29106.959
Iteration 9: (outcome) log likelihood = -29106.957
Iteration 10: (outcome) log likelihood = -29106.956
Iteration 11: (outcome) log likelihood = -29106.956
Iteration 12: (outcome) log likelihood = -29106.956
Refining starting values:
Iteration 0: (EM) log likelihood = -35870.232
Iteration 1: (EM) log likelihood = -35776.719
Iteration 2: (EM) log likelihood = -35493.907
Iteration 3: (EM) log likelihood = -34830.279
Iteration 4: (EM) log likelihood = -33803.773
Iteration 5: (EM) log likelihood = -32830.993
Iteration 6: (EM) log likelihood = -32105.469
Iteration 7: (EM) log likelihood = -31563.072
Iteration 8: (EM) log likelihood = -31155.418
Iteration 9: (EM) log likelihood = -30845.729
Iteration 10: (EM) log likelihood = -30607.795
Iteration 11: (EM) log likelihood = -30420.642
Iteration 12: (EM) log likelihood = -30272.212
Iteration 13: (EM) log likelihood = -30155.037
Iteration 14: (EM) log likelihood = -30065.5
Iteration 15: (EM) log likelihood = -29996.967
Iteration 16: (EM) log likelihood = -29940.938
Iteration 17: (EM) log likelihood = -29894.67
Iteration 18: (EM) log likelihood = -29852.688
Iteration 19: (EM) log likelihood = -29813.858
Iteration 20: (EM) log likelihood = -29777.91
Iteration 21: (EM) log likelihood = -29745.025
Iteration 22: (EM) log likelihood = -29714.324
Iteration 23: (EM) log likelihood = -29687.152
Iteration 24: (EM) log likelihood = -29661.898
Iteration 25: (EM) log likelihood = -29639.949
Iteration 26: (EM) log likelihood = -29620.371
Iteration 27: (EM) log likelihood = -29602.593
Iteration 28: (EM) log likelihood = -29587.294
Iteration 29: (EM) log likelihood = -29573.078
Iteration 30: (EM) log likelihood = -29561.21
Iteration 31: (EM) log likelihood = -29548.952
Iteration 32: (EM) log likelihood = -29537.471
Iteration 33: (EM) log likelihood = -29525.787
Iteration 34: (EM) log likelihood = -29514.036
Iteration 35: (EM) log likelihood = -29499.522
Iteration 36: (EM) log likelihood = -29482.949
Iteration 37: (EM) log likelihood = -29463.247
Iteration 38: (EM) log likelihood = -29440.133
Iteration 39: (EM) log likelihood = -29412.66
Iteration 40: (EM) log likelihood = -29382.341
Iteration 41: (EM) log likelihood = -29352.886
Iteration 42: (EM) log likelihood = -29325.735
Iteration 43: (EM) log likelihood = -29300.13
Iteration 44: (EM) log likelihood = -29278.426
Iteration 45: (EM) log likelihood = -29261.251
Iteration 46: (EM) log likelihood = -29246.018
Iteration 47: (EM) log likelihood = -29232.804
Iteration 48: (EM) log likelihood = -29220.927
Iteration 49: (EM) log likelihood = -29210.787
Iteration 50: (EM) log likelihood = -29201.156
Iteration 51: (EM) log likelihood = -29192.847
Iteration 52: (EM) log likelihood = -29184.989
Iteration 53: (EM) log likelihood = -29177.379
Iteration 54: (EM) log likelihood = -29170.038
Iteration 55: (EM) log likelihood = -29163.255
Iteration 56: (EM) log likelihood = -29156.098
Iteration 57: (EM) log likelihood = -29149.344
Iteration 58: (EM) log likelihood = -29142.636
Iteration 59: (EM) log likelihood = -29135.895
Iteration 60: (EM) log likelihood = -29129.667
Iteration 61: (EM) log likelihood = -29123.123
Iteration 62: (EM) log likelihood = -29116.972
Iteration 63: (EM) log likelihood = -29110.799
Iteration 64: (EM) log likelihood = -29104.696
Iteration 65: (EM) log likelihood = -29097.127
Iteration 66: (EM) log likelihood = -29091.017
Iteration 67: (EM) log likelihood = -29085.558
Iteration 68: (EM) log likelihood = -29080.122
Iteration 69: (EM) log likelihood = -29074.836
Iteration 70: (EM) log likelihood = -29068.872
Iteration 71: (EM) log likelihood = -29063.51
Iteration 72: (EM) log likelihood = -29058.531
Iteration 73: (EM) log likelihood = -29053.466
Iteration 74: (EM) log likelihood = -29048.475
Iteration 75: (EM) log likelihood = -29043.698
Iteration 76: (EM) log likelihood = -29038.762
Iteration 77: (EM) log likelihood = -29033.786
Iteration 78: (EM) log likelihood = -29031.625
Iteration 79: (EM) log likelihood = -29026.205
Iteration 80: (EM) log likelihood = -29021.038
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.2442
Iteration 1: (class) log likelihood = -6787.2442
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29501.438
Iteration 1: (outcome) log likelihood = -29180.042
Iteration 2: (outcome) log likelihood = -29142.19
Iteration 3: (outcome) log likelihood = -29131.049
Iteration 4: (outcome) log likelihood = -29128.562
Iteration 5: (outcome) log likelihood = -29128.049
Iteration 6: (outcome) log likelihood = -29127.944
Iteration 7: (outcome) log likelihood = -29127.919
Iteration 8: (outcome) log likelihood = -29127.914
Iteration 9: (outcome) log likelihood = -29127.913
Iteration 10: (outcome) log likelihood = -29127.912
Iteration 11: (outcome) log likelihood = -29127.912
Refining starting values:
Iteration 0: (EM) log likelihood = -35904.579
Iteration 1: (EM) log likelihood = -35866.081
Iteration 2: (EM) log likelihood = -35746.402
Iteration 3: (EM) log likelihood = -35367.234
Iteration 4: (EM) log likelihood = -34449.698
Iteration 5: (EM) log likelihood = -33276.058
Iteration 6: (EM) log likelihood = -32388.567
Iteration 7: (EM) log likelihood = -31744.411
Iteration 8: (EM) log likelihood = -31238.613
Iteration 9: (EM) log likelihood = -30837.934
Iteration 10: (EM) log likelihood = -30524.368
Iteration 11: (EM) log likelihood = -30277.257
Iteration 12: (EM) log likelihood = -30085.43
Iteration 13: (EM) log likelihood = -29935.693
Iteration 14: (EM) log likelihood = -29815.194
Iteration 15: (EM) log likelihood = -29716.94
Iteration 16: (EM) log likelihood = -29638.637
Iteration 17: (EM) log likelihood = -29571.481
Iteration 18: (EM) log likelihood = -29515.045
Iteration 19: (EM) log likelihood = -29466.248
Iteration 20: (EM) log likelihood = -29423.792
Iteration 21: (EM) log likelihood = -29384.713
Iteration 22: (EM) log likelihood = -29347.074
Iteration 23: (EM) log likelihood = -29310.546
Iteration 24: (EM) log likelihood = -29274.244
Iteration 25: (EM) log likelihood = -29237.856
Iteration 26: (EM) log likelihood = -29202.705
Iteration 27: (EM) log likelihood = -29166.514
Iteration 28: (EM) log likelihood = -29129.769
Iteration 29: (EM) log likelihood = -29093.06
Iteration 30: (EM) log likelihood = -29054.078
Iteration 31: (EM) log likelihood = -29010.639
Iteration 32: (EM) log likelihood = -28967.2
Iteration 33: (EM) log likelihood = -28921.646
Iteration 34: (EM) log likelihood = -28875.427
Iteration 35: (EM) log likelihood = -28826.837
Iteration 36: (EM) log likelihood = -28777.139
Iteration 37: (EM) log likelihood = -28728.242
Iteration 38: (EM) log likelihood = -28682.937
Iteration 39: (EM) log likelihood = -28639.933
Iteration 40: (EM) log likelihood = -28600.56
Iteration 41: (EM) log likelihood = -28567.508
Iteration 42: (EM) log likelihood = -28538.21
Iteration 43: (EM) log likelihood = -28511.076
Iteration 44: (EM) log likelihood = -28489.923
Iteration 45: (EM) log likelihood = -28468.225
Iteration 46: (EM) log likelihood = -28451.902
Iteration 47: (EM) log likelihood = -28439.424
Iteration 48: (EM) log likelihood = -28427.054
Iteration 49: (EM) log likelihood = -28417.311
Iteration 50: (EM) log likelihood = -28410.692
Iteration 51: (EM) log likelihood = -28401.991
Iteration 52: (EM) log likelihood = -28396.793
Iteration 53: (EM) log likelihood = -28390.311
Iteration 54: (EM) log likelihood = -28385.824
Iteration 55: (EM) log likelihood = -28381.463
Iteration 56: (EM) log likelihood = -28377.376
Iteration 57: (EM) log likelihood = -28373.761
Iteration 58: (EM) log likelihood = -28370.82
Iteration 59: (EM) log likelihood = -28365.286
Iteration 60: (EM) log likelihood = -28360.438
Iteration 61: (EM) log likelihood = -28357.237
Iteration 62: (EM) log likelihood = -28353.972
Iteration 63: (EM) log likelihood = -28350.897
Iteration 64: (EM) log likelihood = -28346.89
Iteration 65: (EM) log likelihood = -28345.11
Iteration 66: (EM) log likelihood = -28335.821
Iteration 67: (EM) log likelihood = -28333.777
Iteration 68: (EM) log likelihood = -28327.435
Iteration 69: (EM) log likelihood = -28325.043
Iteration 70: (EM) log likelihood = -28320.525
Iteration 71: (EM) log likelihood = -28317.65
Iteration 72: (EM) log likelihood = -28315.131
Iteration 73: (EM) log likelihood = -28310.76
Iteration 74: (EM) log likelihood = -28306.77
Iteration 75: (EM) log likelihood = -28301.876
Iteration 76: (EM) log likelihood = -28295.392
Iteration 77: (EM) log likelihood = -28291.295
Iteration 78: (EM) log likelihood = -28287.192
Iteration 79: (EM) log likelihood = -28284.082
Iteration 80: (EM) log likelihood = -28279.821
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.4705
Iteration 1: (class) log likelihood = -6787.4705
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29881.576
Iteration 1: (outcome) log likelihood = -29254.117
Iteration 2: (outcome) log likelihood = -29138.149
Iteration 3: (outcome) log likelihood = -29115.894
Iteration 4: (outcome) log likelihood = -29110.835
Iteration 5: (outcome) log likelihood = -29109.781
Iteration 6: (outcome) log likelihood = -29109.611
Iteration 7: (outcome) log likelihood = -29109.569
Iteration 8: (outcome) log likelihood = -29109.56
Iteration 9: (outcome) log likelihood = -29109.559
Iteration 10: (outcome) log likelihood = -29109.558
Iteration 11: (outcome) log likelihood = -29109.558
Iteration 12: (outcome) log likelihood = -29109.558
Refining starting values:
Iteration 0: (EM) log likelihood = -35877.446
Iteration 1: (EM) log likelihood = -35784.373
Iteration 2: (EM) log likelihood = -35441.145
Iteration 3: (EM) log likelihood = -34594.956
Iteration 4: (EM) log likelihood = -33562.081
Iteration 5: (EM) log likelihood = -32768.389
Iteration 6: (EM) log likelihood = -32113.436
Iteration 7: (EM) log likelihood = -31507.346
Iteration 8: (EM) log likelihood = -31009.885
Iteration 9: (EM) log likelihood = -30653.345
Iteration 10: (EM) log likelihood = -30416.672
Iteration 11: (EM) log likelihood = -30257.418
Iteration 12: (EM) log likelihood = -30149.848
Iteration 13: (EM) log likelihood = -30072.87
Iteration 14: (EM) log likelihood = -30014.947
Iteration 15: (EM) log likelihood = -29970.086
Iteration 16: (EM) log likelihood = -29931.211
Iteration 17: (EM) log likelihood = -29895.008
Iteration 18: (EM) log likelihood = -29863.304
Iteration 19: (EM) log likelihood = -29833.879
Iteration 20: (EM) log likelihood = -29808.109
Iteration 21: (EM) log likelihood = -29784.367
Iteration 22: (EM) log likelihood = -29762.975
Iteration 23: (EM) log likelihood = -29743.824
Iteration 24: (EM) log likelihood = -29727.605
Iteration 25: (EM) log likelihood = -29713.323
Iteration 26: (EM) log likelihood = -29699.769
Iteration 27: (EM) log likelihood = -29687.377
Iteration 28: (EM) log likelihood = -29676.35
Iteration 29: (EM) log likelihood = -29666.815
Iteration 30: (EM) log likelihood = -29657.769
Iteration 31: (EM) log likelihood = -29649.035
Iteration 32: (EM) log likelihood = -29641.372
Iteration 33: (EM) log likelihood = -29634.464
Iteration 34: (EM) log likelihood = -29626.721
Iteration 35: (EM) log likelihood = -29620.569
Iteration 36: (EM) log likelihood = -29614.14
Iteration 37: (EM) log likelihood = -29607.479
Iteration 38: (EM) log likelihood = -29601.28
Iteration 39: (EM) log likelihood = -29592.076
Iteration 40: (EM) log likelihood = -29585.816
Iteration 41: (EM) log likelihood = -29579.503
Iteration 42: (EM) log likelihood = -29573.268
Iteration 43: (EM) log likelihood = -29566.093
Iteration 44: (EM) log likelihood = -29559.567
Iteration 45: (EM) log likelihood = -29552.763
Iteration 46: (EM) log likelihood = -29545.627
Iteration 47: (EM) log likelihood = -29539.824
Iteration 48: (EM) log likelihood = -29533.845
Iteration 49: (EM) log likelihood = -29525.882
Iteration 50: (EM) log likelihood = -29520.257
Iteration 51: (EM) log likelihood = -29514.488
Iteration 52: (EM) log likelihood = -29508.025
Iteration 53: (EM) log likelihood = -29501.943
Iteration 54: (EM) log likelihood = -29496.16
Iteration 55: (EM) log likelihood = -29490.516
Iteration 56: (EM) log likelihood = -29484.679
Iteration 57: (EM) log likelihood = -29478.678
Iteration 58: (EM) log likelihood = -29473.484
Iteration 59: (EM) log likelihood = -29467.978
Iteration 60: (EM) log likelihood = -29462.421
Iteration 61: (EM) log likelihood = -29455.604
Iteration 62: (EM) log likelihood = -29447.404
Iteration 63: (EM) log likelihood = -29437.836
Iteration 64: (EM) log likelihood = -29425.88
Iteration 65: (EM) log likelihood = -29410.553
Iteration 66: (EM) log likelihood = -29393.026
Iteration 67: (EM) log likelihood = -29372.147
Iteration 68: (EM) log likelihood = -29348.511
Iteration 69: (EM) log likelihood = -29321.326
Iteration 70: (EM) log likelihood = -29290.159
Iteration 71: (EM) log likelihood = -29258.498
Iteration 72: (EM) log likelihood = -29224.576
Iteration 73: (EM) log likelihood = -29188.53
Iteration 74: (EM) log likelihood = -29150.909
Iteration 75: (EM) log likelihood = -29113.93
Iteration 76: (EM) log likelihood = -29076.729
Iteration 77: (EM) log likelihood = -29038.959
Iteration 78: (EM) log likelihood = -29003.325
Iteration 79: (EM) log likelihood = -28969.162
Iteration 80: (EM) log likelihood = -28937.908
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6784.1287
Iteration 1: (class) log likelihood = -6784.1287
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29723.84
Iteration 1: (outcome) log likelihood = -29206.206
Iteration 2: (outcome) log likelihood = -29121.077
Iteration 3: (outcome) log likelihood = -29102.4
Iteration 4: (outcome) log likelihood = -29098.501
Iteration 5: (outcome) log likelihood = -29097.627
Iteration 6: (outcome) log likelihood = -29097.485
Iteration 7: (outcome) log likelihood = -29097.45
Iteration 8: (outcome) log likelihood = -29097.443
Iteration 9: (outcome) log likelihood = -29097.442
Iteration 10: (outcome) log likelihood = -29097.441
Iteration 11: (outcome) log likelihood = -29097.441
Iteration 12: (outcome) log likelihood = -29097.441
Refining starting values:
Iteration 0: (EM) log likelihood = -35844.881
Iteration 1: (EM) log likelihood = -35713.932
Iteration 2: (EM) log likelihood = -35341.393
Iteration 3: (EM) log likelihood = -34566.582
Iteration 4: (EM) log likelihood = -33455.938
Iteration 5: (EM) log likelihood = -32359.565
Iteration 6: (EM) log likelihood = -31583.792
Iteration 7: (EM) log likelihood = -31103.328
Iteration 8: (EM) log likelihood = -30769.941
Iteration 9: (EM) log likelihood = -30487.265
Iteration 10: (EM) log likelihood = -30239.219
Iteration 11: (EM) log likelihood = -30038.344
Iteration 12: (EM) log likelihood = -29894.209
Iteration 13: (EM) log likelihood = -29790.101
Iteration 14: (EM) log likelihood = -29711.781
Iteration 15: (EM) log likelihood = -29647.826
Iteration 16: (EM) log likelihood = -29592.988
Iteration 17: (EM) log likelihood = -29546.996
Iteration 18: (EM) log likelihood = -29506.973
Iteration 19: (EM) log likelihood = -29474.032
Iteration 20: (EM) log likelihood = -29443.279
Iteration 21: (EM) log likelihood = -29413.218
Iteration 22: (EM) log likelihood = -29384.84
Iteration 23: (EM) log likelihood = -29357.55
Iteration 24: (EM) log likelihood = -29334.477
Iteration 25: (EM) log likelihood = -29312.971
Iteration 26: (EM) log likelihood = -29291.469
Iteration 27: (EM) log likelihood = -29273.054
Iteration 28: (EM) log likelihood = -29255.631
Iteration 29: (EM) log likelihood = -29239.086
Iteration 30: (EM) log likelihood = -29223.243
Iteration 31: (EM) log likelihood = -29206.22
Iteration 32: (EM) log likelihood = -29191.525
Iteration 33: (EM) log likelihood = -29177.746
Iteration 34: (EM) log likelihood = -29166.286
Iteration 35: (EM) log likelihood = -29155.614
Iteration 36: (EM) log likelihood = -29146.768
Iteration 37: (EM) log likelihood = -29136.652
Iteration 38: (EM) log likelihood = -29125.932
Iteration 39: (EM) log likelihood = -29117.316
Iteration 40: (EM) log likelihood = -29108.309
Iteration 41: (EM) log likelihood = -29101.696
Iteration 42: (EM) log likelihood = -29095.05
Iteration 43: (EM) log likelihood = -29089.822
Iteration 44: (EM) log likelihood = -29085.4
Iteration 45: (EM) log likelihood = -29080.974
Iteration 46: (EM) log likelihood = -29075.475
Iteration 47: (EM) log likelihood = -29070.305
Iteration 48: (EM) log likelihood = -29066.289
Iteration 49: (EM) log likelihood = -29062.696
Iteration 50: (EM) log likelihood = -29058.476
Iteration 51: (EM) log likelihood = -29055.068
Iteration 52: (EM) log likelihood = -29051.458
Iteration 53: (EM) log likelihood = -29048.341
Iteration 54: (EM) log likelihood = -29045.305
Iteration 55: (EM) log likelihood = -29041.502
Iteration 56: (EM) log likelihood = -29035.312
Iteration 57: (EM) log likelihood = -29029.751
Iteration 58: (EM) log likelihood = -29023.39
Iteration 59: (EM) log likelihood = -29014.211
Iteration 60: (EM) log likelihood = -29005.535
Iteration 61: (EM) log likelihood = -28995.522
Iteration 62: (EM) log likelihood = -28981.588
Iteration 63: (EM) log likelihood = -28965.334
Iteration 64: (EM) log likelihood = -28946.671
Iteration 65: (EM) log likelihood = -28926.619
Iteration 66: (EM) log likelihood = -28902.34
Iteration 67: (EM) log likelihood = -28876.206
Iteration 68: (EM) log likelihood = -28849.161
Iteration 69: (EM) log likelihood = -28819.907
Iteration 70: (EM) log likelihood = -28788.417
Iteration 71: (EM) log likelihood = -28755.937
Iteration 72: (EM) log likelihood = -28724.403
Iteration 73: (EM) log likelihood = -28692.42
Iteration 74: (EM) log likelihood = -28660.498
Iteration 75: (EM) log likelihood = -28629.456
Iteration 76: (EM) log likelihood = -28602.345
Iteration 77: (EM) log likelihood = -28577.416
Iteration 78: (EM) log likelihood = -28554.238
Iteration 79: (EM) log likelihood = -28533.918
Iteration 80: (EM) log likelihood = -28514.396
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6788.0758
Iteration 1: (class) log likelihood = -6788.0758
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29502.023
Iteration 1: (outcome) log likelihood = -29213.468
Iteration 2: (outcome) log likelihood = -29121.264
Iteration 3: (outcome) log likelihood = -29107.056
Iteration 4: (outcome) log likelihood = -29103.728
Iteration 5: (outcome) log likelihood = -29103.044
Iteration 6: (outcome) log likelihood = -29102.927
Iteration 7: (outcome) log likelihood = -29102.914
Iteration 8: (outcome) log likelihood = -29102.912
Iteration 9: (outcome) log likelihood = -29102.911
Iteration 10: (outcome) log likelihood = -29102.911
Iteration 11: (outcome) log likelihood = -29102.911
Refining starting values:
Iteration 0: (EM) log likelihood = -35853.945
Iteration 1: (EM) log likelihood = -35723.553
Iteration 2: (EM) log likelihood = -35326.232
Iteration 3: (EM) log likelihood = -34472.476
Iteration 4: (EM) log likelihood = -33366.67
Iteration 5: (EM) log likelihood = -32453.878
Iteration 6: (EM) log likelihood = -31861.52
Iteration 7: (EM) log likelihood = -31499.413
Iteration 8: (EM) log likelihood = -31254.57
Iteration 9: (EM) log likelihood = -31071.814
Iteration 10: (EM) log likelihood = -30921.727
Iteration 11: (EM) log likelihood = -30782.115
Iteration 12: (EM) log likelihood = -30629.497
Iteration 13: (EM) log likelihood = -30460.66
Iteration 14: (EM) log likelihood = -30279.487
Iteration 15: (EM) log likelihood = -30102.769
Iteration 16: (EM) log likelihood = -29938.548
Iteration 17: (EM) log likelihood = -29788.818
Iteration 18: (EM) log likelihood = -29653.16
Iteration 19: (EM) log likelihood = -29531.875
Iteration 20: (EM) log likelihood = -29427.174
Iteration 21: (EM) log likelihood = -29339.698
Iteration 22: (EM) log likelihood = -29266.896
Iteration 23: (EM) log likelihood = -29205.486
Iteration 24: (EM) log likelihood = -29153.916
Iteration 25: (EM) log likelihood = -29111.162
Iteration 26: (EM) log likelihood = -29073.617
Iteration 27: (EM) log likelihood = -29041.209
Iteration 28: (EM) log likelihood = -29012.69
Iteration 29: (EM) log likelihood = -28986.935
Iteration 30: (EM) log likelihood = -28964.311
Iteration 31: (EM) log likelihood = -28942.921
Iteration 32: (EM) log likelihood = -28923.273
Iteration 33: (EM) log likelihood = -28905.646
Iteration 34: (EM) log likelihood = -28888.602
Iteration 35: (EM) log likelihood = -28873.754
Iteration 36: (EM) log likelihood = -28859.523
Iteration 37: (EM) log likelihood = -28844.948
Iteration 38: (EM) log likelihood = -28832.106
Iteration 39: (EM) log likelihood = -28819.84
Iteration 40: (EM) log likelihood = -28808.797
Iteration 41: (EM) log likelihood = -28798.159
Iteration 42: (EM) log likelihood = -28788.369
Iteration 43: (EM) log likelihood = -28779.014
Iteration 44: (EM) log likelihood = -28770.081
Iteration 45: (EM) log likelihood = -28761.025
Iteration 46: (EM) log likelihood = -28752.683
Iteration 47: (EM) log likelihood = -28744.747
Iteration 48: (EM) log likelihood = -28736.227
Iteration 49: (EM) log likelihood = -28729.234
Iteration 50: (EM) log likelihood = -28720.529
Iteration 51: (EM) log likelihood = -28712.425
Iteration 52: (EM) log likelihood = -28704.266
Iteration 53: (EM) log likelihood = -28696.622
Iteration 54: (EM) log likelihood = -28689.198
Iteration 55: (EM) log likelihood = -28681.944
Iteration 56: (EM) log likelihood = -28674.769
Iteration 57: (EM) log likelihood = -28667.371
Iteration 58: (EM) log likelihood = -28660.952
Iteration 59: (EM) log likelihood = -28655.198
Iteration 60: (EM) log likelihood = -28648.752
Iteration 61: (EM) log likelihood = -28642.703
Iteration 62: (EM) log likelihood = -28636.919
Iteration 63: (EM) log likelihood = -28632.235
Iteration 64: (EM) log likelihood = -28627.389
Iteration 65: (EM) log likelihood = -28622.687
Iteration 66: (EM) log likelihood = -28617.408
Iteration 67: (EM) log likelihood = -28613.178
Iteration 68: (EM) log likelihood = -28608.783
Iteration 69: (EM) log likelihood = -28604.718
Iteration 70: (EM) log likelihood = -28601.038
Iteration 71: (EM) log likelihood = -28596.559
Iteration 72: (EM) log likelihood = -28592.546
Iteration 73: (EM) log likelihood = -28589.387
Iteration 74: (EM) log likelihood = -28585.347
Iteration 75: (EM) log likelihood = -28581.893
Iteration 76: (EM) log likelihood = -28578.28
Iteration 77: (EM) log likelihood = -28575.126
Iteration 78: (EM) log likelihood = -28572.876
Iteration 79: (EM) log likelihood = -28569.314
Iteration 80: (EM) log likelihood = -28565.714
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6788.2365
Iteration 1: (class) log likelihood = -6788.2365
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30324.119
Iteration 1: (outcome) log likelihood = -29309.535
Iteration 2: (outcome) log likelihood = -29157.812
Iteration 3: (outcome) log likelihood = -29119.699
Iteration 4: (outcome) log likelihood = -29112.39
Iteration 5: (outcome) log likelihood = -29110.729
Iteration 6: (outcome) log likelihood = -29110.366
Iteration 7: (outcome) log likelihood = -29110.276
Iteration 8: (outcome) log likelihood = -29110.258
Iteration 9: (outcome) log likelihood = -29110.254
Iteration 10: (outcome) log likelihood = -29110.253
Iteration 11: (outcome) log likelihood = -29110.253
Iteration 12: (outcome) log likelihood = -29110.253
Iteration 13: (outcome) log likelihood = -29110.253
Refining starting values:
Iteration 0: (EM) log likelihood = -35857.611
Iteration 1: (EM) log likelihood = -35698.023
Iteration 2: (EM) log likelihood = -35197.609
Iteration 3: (EM) log likelihood = -34258.261
Iteration 4: (EM) log likelihood = -33369.224
Iteration 5: (EM) log likelihood = -32746.121
Iteration 6: (EM) log likelihood = -32204.599
Iteration 7: (EM) log likelihood = -31653.863
Iteration 8: (EM) log likelihood = -31148.342
Iteration 9: (EM) log likelihood = -30754.19
Iteration 10: (EM) log likelihood = -30465.965
Iteration 11: (EM) log likelihood = -30247.937
Iteration 12: (EM) log likelihood = -30076.365
Iteration 13: (EM) log likelihood = -29938.85
Iteration 14: (EM) log likelihood = -29822.693
Iteration 15: (EM) log likelihood = -29718.109
Iteration 16: (EM) log likelihood = -29633.647
Iteration 17: (EM) log likelihood = -29558.757
Iteration 18: (EM) log likelihood = -29494.873
Iteration 19: (EM) log likelihood = -29438.669
Iteration 20: (EM) log likelihood = -29388.496
Iteration 21: (EM) log likelihood = -29344.456
Iteration 22: (EM) log likelihood = -29304.547
Iteration 23: (EM) log likelihood = -29268.041
Iteration 24: (EM) log likelihood = -29233.814
Iteration 25: (EM) log likelihood = -29203.772
Iteration 26: (EM) log likelihood = -29174.195
Iteration 27: (EM) log likelihood = -29146.392
Iteration 28: (EM) log likelihood = -29120.43
Iteration 29: (EM) log likelihood = -29096.636
Iteration 30: (EM) log likelihood = -29074.168
Iteration 31: (EM) log likelihood = -29053.196
Iteration 32: (EM) log likelihood = -29034.134
Iteration 33: (EM) log likelihood = -29017.1
Iteration 34: (EM) log likelihood = -29000.295
Iteration 35: (EM) log likelihood = -28984.711
Iteration 36: (EM) log likelihood = -28970.414
Iteration 37: (EM) log likelihood = -28955.483
Iteration 38: (EM) log likelihood = -28942.716
Iteration 39: (EM) log likelihood = -28929.946
Iteration 40: (EM) log likelihood = -28918.377
Iteration 41: (EM) log likelihood = -28906.993
Iteration 42: (EM) log likelihood = -28895.762
Iteration 43: (EM) log likelihood = -28885.474
Iteration 44: (EM) log likelihood = -28874.387
Iteration 45: (EM) log likelihood = -28862.615
Iteration 46: (EM) log likelihood = -28851.27
Iteration 47: (EM) log likelihood = -28836.986
Iteration 48: (EM) log likelihood = -28824.584
Iteration 49: (EM) log likelihood = -28812.465
Iteration 50: (EM) log likelihood = -28799.559
Iteration 51: (EM) log likelihood = -28787.082
Iteration 52: (EM) log likelihood = -28774.202
Iteration 53: (EM) log likelihood = -28760.55
Iteration 54: (EM) log likelihood = -28746.905
Iteration 55: (EM) log likelihood = -28735.102
Iteration 56: (EM) log likelihood = -28722.35
Iteration 57: (EM) log likelihood = -28709.722
Iteration 58: (EM) log likelihood = -28697.506
Iteration 59: (EM) log likelihood = -28686.28
Iteration 60: (EM) log likelihood = -28675.044
Iteration 61: (EM) log likelihood = -28665.514
Iteration 62: (EM) log likelihood = -28655.566
Iteration 63: (EM) log likelihood = -28646.416
Iteration 64: (EM) log likelihood = -28638.852
Iteration 65: (EM) log likelihood = -28632.121
Iteration 66: (EM) log likelihood = -28625.514
Iteration 67: (EM) log likelihood = -28619.911
Iteration 68: (EM) log likelihood = -28614.296
Iteration 69: (EM) log likelihood = -28609.878
Iteration 70: (EM) log likelihood = -28605.924
Iteration 71: (EM) log likelihood = -28600.046
Iteration 72: (EM) log likelihood = -28596.766
Iteration 73: (EM) log likelihood = -28593.082
Iteration 74: (EM) log likelihood = -28589.829
Iteration 75: (EM) log likelihood = -28587.735
Iteration 76: (EM) log likelihood = -28585.317
Iteration 77: (EM) log likelihood = -28583.098
Iteration 78: (EM) log likelihood = -28581.291
Iteration 79: (EM) log likelihood = -28578.928
Iteration 80: (EM) log likelihood = -28577.292
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6786.296
Iteration 1: (class) log likelihood = -6786.296
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29678.813
Iteration 1: (outcome) log likelihood = -29236.77
Iteration 2: (outcome) log likelihood = -29127.825
Iteration 3: (outcome) log likelihood = -29111.734
Iteration 4: (outcome) log likelihood = -29108.536
Iteration 5: (outcome) log likelihood = -29107.843
Iteration 6: (outcome) log likelihood = -29107.687
Iteration 7: (outcome) log likelihood = -29107.648
Iteration 8: (outcome) log likelihood = -29107.64
Iteration 9: (outcome) log likelihood = -29107.639
Iteration 10: (outcome) log likelihood = -29107.639
Iteration 11: (outcome) log likelihood = -29107.639
Iteration 12: (outcome) log likelihood = -29107.639
Refining starting values:
Iteration 0: (EM) log likelihood = -35869.155
Iteration 1: (EM) log likelihood = -35774.898
Iteration 2: (EM) log likelihood = -35487.201
Iteration 3: (EM) log likelihood = -34790.926
Iteration 4: (EM) log likelihood = -33692.076
Iteration 5: (EM) log likelihood = -32678.377
Iteration 6: (EM) log likelihood = -31958.461
Iteration 7: (EM) log likelihood = -31434.388
Iteration 8: (EM) log likelihood = -31028.603
Iteration 9: (EM) log likelihood = -30685.584
Iteration 10: (EM) log likelihood = -30398.966
Iteration 11: (EM) log likelihood = -30173.728
Iteration 12: (EM) log likelihood = -30000.725
Iteration 13: (EM) log likelihood = -29862.153
Iteration 14: (EM) log likelihood = -29746.874
Iteration 15: (EM) log likelihood = -29652.404
Iteration 16: (EM) log likelihood = -29574.766
Iteration 17: (EM) log likelihood = -29512.803
Iteration 18: (EM) log likelihood = -29463.472
Iteration 19: (EM) log likelihood = -29422.826
Iteration 20: (EM) log likelihood = -29389.503
Iteration 21: (EM) log likelihood = -29361.798
Iteration 22: (EM) log likelihood = -29336.56
Iteration 23: (EM) log likelihood = -29315.01
Iteration 24: (EM) log likelihood = -29295.149
Iteration 25: (EM) log likelihood = -29277.772
Iteration 26: (EM) log likelihood = -29263.236
Iteration 27: (EM) log likelihood = -29247.635
Iteration 28: (EM) log likelihood = -29235.237
Iteration 29: (EM) log likelihood = -29222.708
Iteration 30: (EM) log likelihood = -29211.942
Iteration 31: (EM) log likelihood = -29201.525
Iteration 32: (EM) log likelihood = -29189.967
Iteration 33: (EM) log likelihood = -29176.691
Iteration 34: (EM) log likelihood = -29167.396
Iteration 35: (EM) log likelihood = -29157.152
Iteration 36: (EM) log likelihood = -29147.256
Iteration 37: (EM) log likelihood = -29137.632
Iteration 38: (EM) log likelihood = -29128.251
Iteration 39: (EM) log likelihood = -29119.058
Iteration 40: (EM) log likelihood = -29110.68
Iteration 41: (EM) log likelihood = -29102.675
Iteration 42: (EM) log likelihood = -29095.163
Iteration 43: (EM) log likelihood = -29088.552
Iteration 44: (EM) log likelihood = -29079.529
Iteration 45: (EM) log likelihood = -29072.184
Iteration 46: (EM) log likelihood = -29065.102
Iteration 47: (EM) log likelihood = -29057.729
Iteration 48: (EM) log likelihood = -29051.076
Iteration 49: (EM) log likelihood = -29044.207
Iteration 50: (EM) log likelihood = -29038.357
Iteration 51: (EM) log likelihood = -29032.149
Iteration 52: (EM) log likelihood = -29025.657
Iteration 53: (EM) log likelihood = -29020.495
Iteration 54: (EM) log likelihood = -29015.354
Iteration 55: (EM) log likelihood = -29010.567
Iteration 56: (EM) log likelihood = -29006.145
Iteration 57: (EM) log likelihood = -29002.052
Iteration 58: (EM) log likelihood = -28997.691
Iteration 59: (EM) log likelihood = -28994.407
Iteration 60: (EM) log likelihood = -28991.382
Iteration 61: (EM) log likelihood = -28988.514
Iteration 62: (EM) log likelihood = -28985.792
Iteration 63: (EM) log likelihood = -28983.456
Iteration 64: (EM) log likelihood = -28981.365
Iteration 65: (EM) log likelihood = -28979.499
Iteration 66: (EM) log likelihood = -28977.658
Iteration 67: (EM) log likelihood = -28976.473
Iteration 68: (EM) log likelihood = -28975.795
Iteration 69: (EM) log likelihood = -28975.281
Iteration 70: (EM) log likelihood = -28974.828
Iteration 71: (EM) log likelihood = -28974.613
Iteration 72: (EM) log likelihood = -28974.562
Iteration 73: (EM) log likelihood = -28974.649
Iteration 74: (EM) log likelihood = -28974.966
Iteration 75: (EM) log likelihood = -28975.396
Iteration 76: (EM) log likelihood = -28975.738
Iteration 77: (EM) log likelihood = -28976.2
Iteration 78: (EM) log likelihood = -28976.505
Iteration 79: (EM) log likelihood = -28976.775
Iteration 80: (EM) log likelihood = -28976.82
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6785.1217
Iteration 1: (class) log likelihood = -6785.1217
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29118.333
Iteration 1: (outcome) log likelihood = -29118.333
Refining starting values:
Iteration 0: (EM) log likelihood = -35894.919
Iteration 1: (EM) log likelihood = -35852.198
Iteration 2: (EM) log likelihood = -35702.164
Iteration 3: (EM) log likelihood = -35226.939
Iteration 4: (EM) log likelihood = -34250.443
Iteration 5: (EM) log likelihood = -33211.252
Iteration 6: (EM) log likelihood = -32434.553
Iteration 7: (EM) log likelihood = -31810.09
Iteration 8: (EM) log likelihood = -31298.876
Iteration 9: (EM) log likelihood = -30914.041
Iteration 10: (EM) log likelihood = -30642.029
Iteration 11: (EM) log likelihood = -30457.911
Iteration 12: (EM) log likelihood = -30334.359
Iteration 13: (EM) log likelihood = -30249.011
Iteration 14: (EM) log likelihood = -30183.643
Iteration 15: (EM) log likelihood = -30126.905
Iteration 16: (EM) log likelihood = -30072.557
Iteration 17: (EM) log likelihood = -30016.87
Iteration 18: (EM) log likelihood = -29960.287
Iteration 19: (EM) log likelihood = -29901.162
Iteration 20: (EM) log likelihood = -29840.421
Iteration 21: (EM) log likelihood = -29778.514
Iteration 22: (EM) log likelihood = -29714.344
Iteration 23: (EM) log likelihood = -29647.895
Iteration 24: (EM) log likelihood = -29578.049
Iteration 25: (EM) log likelihood = -29507.93
Iteration 26: (EM) log likelihood = -29436.567
Iteration 27: (EM) log likelihood = -29363.701
Iteration 28: (EM) log likelihood = -29292.127
Iteration 29: (EM) log likelihood = -29222.418
Iteration 30: (EM) log likelihood = -29155.129
Iteration 31: (EM) log likelihood = -29091.837
Iteration 32: (EM) log likelihood = -29032.425
Iteration 33: (EM) log likelihood = -28977.791
Iteration 34: (EM) log likelihood = -28926.218
Iteration 35: (EM) log likelihood = -28879.126
Iteration 36: (EM) log likelihood = -28834.314
Iteration 37: (EM) log likelihood = -28793.38
Iteration 38: (EM) log likelihood = -28755.98
Iteration 39: (EM) log likelihood = -28720.571
Iteration 40: (EM) log likelihood = -28687.425
Iteration 41: (EM) log likelihood = -28657.01
Iteration 42: (EM) log likelihood = -28629.402
Iteration 43: (EM) log likelihood = -28602.66
Iteration 44: (EM) log likelihood = -28577.907
Iteration 45: (EM) log likelihood = -28556.769
Iteration 46: (EM) log likelihood = -28534.849
Iteration 47: (EM) log likelihood = -28514.09
Iteration 48: (EM) log likelihood = -28495.017
Iteration 49: (EM) log likelihood = -28476.296
Iteration 50: (EM) log likelihood = -28458.582
Iteration 51: (EM) log likelihood = -28441.946
Iteration 52: (EM) log likelihood = -28424.755
Iteration 53: (EM) log likelihood = -28408.307
Iteration 54: (EM) log likelihood = -28392.65
Iteration 55: (EM) log likelihood = -28376.582
Iteration 56: (EM) log likelihood = -28361.766
Iteration 57: (EM) log likelihood = -28347.946
Iteration 58: (EM) log likelihood = -28332.672
Iteration 59: (EM) log likelihood = -28317.625
Iteration 60: (EM) log likelihood = -28302.818
Iteration 61: (EM) log likelihood = -28288.317
Iteration 62: (EM) log likelihood = -28274.056
Iteration 63: (EM) log likelihood = -28260.225
Iteration 64: (EM) log likelihood = -28246.763
Iteration 65: (EM) log likelihood = -28233.595
Iteration 66: (EM) log likelihood = -28221.183
Iteration 67: (EM) log likelihood = -28209.645
Iteration 68: (EM) log likelihood = -28198.829
Iteration 69: (EM) log likelihood = -28188.705
Iteration 70: (EM) log likelihood = -28180.079
Iteration 71: (EM) log likelihood = -28172.18
Iteration 72: (EM) log likelihood = -28165.245
Iteration 73: (EM) log likelihood = -28159.127
Iteration 74: (EM) log likelihood = -28153.953
Iteration 75: (EM) log likelihood = -28149.364
Iteration 76: (EM) log likelihood = -28145.505
Iteration 77: (EM) log likelihood = -28141.971
Iteration 78: (EM) log likelihood = -28138.907
Iteration 79: (EM) log likelihood = -28136.26
Iteration 80: (EM) log likelihood = -28133.825
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6786.7786
Iteration 1: (class) log likelihood = -6786.7786
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29712.576
Iteration 1: (outcome) log likelihood = -29248.424
Iteration 2: (outcome) log likelihood = -29138.294
Iteration 3: (outcome) log likelihood = -29123.09
Iteration 4: (outcome) log likelihood = -29119.377
Iteration 5: (outcome) log likelihood = -29118.666
Iteration 6: (outcome) log likelihood = -29118.543
Iteration 7: (outcome) log likelihood = -29118.515
Iteration 8: (outcome) log likelihood = -29118.508
Iteration 9: (outcome) log likelihood = -29118.507
Iteration 10: (outcome) log likelihood = -29118.506
Iteration 11: (outcome) log likelihood = -29118.506
Iteration 12: (outcome) log likelihood = -29118.506
Refining starting values:
Iteration 0: (EM) log likelihood = -35890.708
Iteration 1: (EM) log likelihood = -35822.83
Iteration 2: (EM) log likelihood = -35595.632
Iteration 3: (EM) log likelihood = -35010.918
Iteration 4: (EM) log likelihood = -34078.154
Iteration 5: (EM) log likelihood = -33168.454
Iteration 6: (EM) log likelihood = -32443.009
Iteration 7: (EM) log likelihood = -31876.713
Iteration 8: (EM) log likelihood = -31440.122
Iteration 9: (EM) log likelihood = -31099.752
Iteration 10: (EM) log likelihood = -30824.859
Iteration 11: (EM) log likelihood = -30590.259
Iteration 12: (EM) log likelihood = -30384.023
Iteration 13: (EM) log likelihood = -30214.928
Iteration 14: (EM) log likelihood = -30080.157
Iteration 15: (EM) log likelihood = -29980.844
Iteration 16: (EM) log likelihood = -29902.752
Iteration 17: (EM) log likelihood = -29840.762
Iteration 18: (EM) log likelihood = -29788.571
Iteration 19: (EM) log likelihood = -29742.62
Iteration 20: (EM) log likelihood = -29701.828
Iteration 21: (EM) log likelihood = -29664.239
Iteration 22: (EM) log likelihood = -29628.881
Iteration 23: (EM) log likelihood = -29595.362
Iteration 24: (EM) log likelihood = -29559.874
Iteration 25: (EM) log likelihood = -29526.471
Iteration 26: (EM) log likelihood = -29494.72
Iteration 27: (EM) log likelihood = -29465.526
Iteration 28: (EM) log likelihood = -29440.468
Iteration 29: (EM) log likelihood = -29419.079
Iteration 30: (EM) log likelihood = -29400.811
Iteration 31: (EM) log likelihood = -29384.851
Iteration 32: (EM) log likelihood = -29371.384
Iteration 33: (EM) log likelihood = -29359.376
Iteration 34: (EM) log likelihood = -29347.35
Iteration 35: (EM) log likelihood = -29336.859
Iteration 36: (EM) log likelihood = -29326.979
Iteration 37: (EM) log likelihood = -29316.793
Iteration 38: (EM) log likelihood = -29307.872
Iteration 39: (EM) log likelihood = -29298.926
Iteration 40: (EM) log likelihood = -29290.892
Iteration 41: (EM) log likelihood = -29281.739
Iteration 42: (EM) log likelihood = -29273.108
Iteration 43: (EM) log likelihood = -29264.837
Iteration 44: (EM) log likelihood = -29256.288
Iteration 45: (EM) log likelihood = -29246.644
Iteration 46: (EM) log likelihood = -29237.327
Iteration 47: (EM) log likelihood = -29226.976
Iteration 48: (EM) log likelihood = -29216.795
Iteration 49: (EM) log likelihood = -29204.342
Iteration 50: (EM) log likelihood = -29192.681
Iteration 51: (EM) log likelihood = -29179.004
Iteration 52: (EM) log likelihood = -29166.973
Iteration 53: (EM) log likelihood = -29156.574
Iteration 54: (EM) log likelihood = -29146.207
Iteration 55: (EM) log likelihood = -29135.637
Iteration 56: (EM) log likelihood = -29123.674
Iteration 57: (EM) log likelihood = -29110.8
Iteration 58: (EM) log likelihood = -29100.263
Iteration 59: (EM) log likelihood = -29090.074
Iteration 60: (EM) log likelihood = -29078.383
Iteration 61: (EM) log likelihood = -29067.48
Iteration 62: (EM) log likelihood = -29054.485
Iteration 63: (EM) log likelihood = -29042.144
Iteration 64: (EM) log likelihood = -29029.174
Iteration 65: (EM) log likelihood = -29015.497
Iteration 66: (EM) log likelihood = -29000.027
Iteration 67: (EM) log likelihood = -28984.083
Iteration 68: (EM) log likelihood = -28967.079
Iteration 69: (EM) log likelihood = -28949.626
Iteration 70: (EM) log likelihood = -28930.758
Iteration 71: (EM) log likelihood = -28911.402
Iteration 72: (EM) log likelihood = -28889.965
Iteration 73: (EM) log likelihood = -28867.958
Iteration 74: (EM) log likelihood = -28845.236
Iteration 75: (EM) log likelihood = -28820.952
Iteration 76: (EM) log likelihood = -28796.493
Iteration 77: (EM) log likelihood = -28771.347
Iteration 78: (EM) log likelihood = -28745.522
Iteration 79: (EM) log likelihood = -28720.874
Iteration 80: (EM) log likelihood = -28693.484
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6784.5418
Iteration 1: (class) log likelihood = -6784.5418
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29303.176
Iteration 1: (outcome) log likelihood = -29163.454
Iteration 2: (outcome) log likelihood = -29119.15
Iteration 3: (outcome) log likelihood = -29112.659
Iteration 4: (outcome) log likelihood = -29111.074
Iteration 5: (outcome) log likelihood = -29110.739
Iteration 6: (outcome) log likelihood = -29110.669
Iteration 7: (outcome) log likelihood = -29110.653
Iteration 8: (outcome) log likelihood = -29110.649
Iteration 9: (outcome) log likelihood = -29110.648
Iteration 10: (outcome) log likelihood = -29110.648
Iteration 11: (outcome) log likelihood = -29110.648
Iteration 12: (outcome) log likelihood = -29110.648
Refining starting values:
Iteration 0: (EM) log likelihood = -35845.778
Iteration 1: (EM) log likelihood = -35613.394
Iteration 2: (EM) log likelihood = -34839.823
Iteration 3: (EM) log likelihood = -33641.193
Iteration 4: (EM) log likelihood = -32764.032
Iteration 5: (EM) log likelihood = -32203.353
Iteration 6: (EM) log likelihood = -31792.187
Iteration 7: (EM) log likelihood = -31470.006
Iteration 8: (EM) log likelihood = -31205.779
Iteration 9: (EM) log likelihood = -30986.842
Iteration 10: (EM) log likelihood = -30803.96
Iteration 11: (EM) log likelihood = -30648.678
Iteration 12: (EM) log likelihood = -30514.978
Iteration 13: (EM) log likelihood = -30400.763
Iteration 14: (EM) log likelihood = -30301.872
Iteration 15: (EM) log likelihood = -30212.737
Iteration 16: (EM) log likelihood = -30134.141
Iteration 17: (EM) log likelihood = -30058.347
Iteration 18: (EM) log likelihood = -29980.404
Iteration 19: (EM) log likelihood = -29904.064
Iteration 20: (EM) log likelihood = -29829.375
Iteration 21: (EM) log likelihood = -29753.401
Iteration 22: (EM) log likelihood = -29679.703
Iteration 23: (EM) log likelihood = -29607.545
Iteration 24: (EM) log likelihood = -29539.556
Iteration 25: (EM) log likelihood = -29474.696
Iteration 26: (EM) log likelihood = -29416.476
Iteration 27: (EM) log likelihood = -29361.074
Iteration 28: (EM) log likelihood = -29308.531
Iteration 29: (EM) log likelihood = -29255.749
Iteration 30: (EM) log likelihood = -29206.163
Iteration 31: (EM) log likelihood = -29154.881
Iteration 32: (EM) log likelihood = -29101.076
Iteration 33: (EM) log likelihood = -29044.976
Iteration 34: (EM) log likelihood = -28986.546
Iteration 35: (EM) log likelihood = -28926.961
Iteration 36: (EM) log likelihood = -28870.043
Iteration 37: (EM) log likelihood = -28816.403
Iteration 38: (EM) log likelihood = -28766.291
Iteration 39: (EM) log likelihood = -28722.768
Iteration 40: (EM) log likelihood = -28681.189
Iteration 41: (EM) log likelihood = -28644.645
Iteration 42: (EM) log likelihood = -28612.827
Iteration 43: (EM) log likelihood = -28587.351
Iteration 44: (EM) log likelihood = -28561.843
Iteration 45: (EM) log likelihood = -28539.655
Iteration 46: (EM) log likelihood = -28516.623
Iteration 47: (EM) log likelihood = -28494.685
Iteration 48: (EM) log likelihood = -28472.882
Iteration 49: (EM) log likelihood = -28452.958
Iteration 50: (EM) log likelihood = -28434.567
Iteration 51: (EM) log likelihood = -28417.764
Iteration 52: (EM) log likelihood = -28403.401
Iteration 53: (EM) log likelihood = -28391.101
Iteration 54: (EM) log likelihood = -28380.413
Iteration 55: (EM) log likelihood = -28370.282
Iteration 56: (EM) log likelihood = -28361.325
Iteration 57: (EM) log likelihood = -28356.352
Iteration 58: (EM) log likelihood = -28349.781
Iteration 59: (EM) log likelihood = -28343.231
Iteration 60: (EM) log likelihood = -28339.076
Iteration 61: (EM) log likelihood = -28334.518
Iteration 62: (EM) log likelihood = -28330.229
Iteration 63: (EM) log likelihood = -28325.143
Iteration 64: (EM) log likelihood = -28322.625
Iteration 65: (EM) log likelihood = -28317.923
Iteration 66: (EM) log likelihood = -28312.948
Iteration 67: (EM) log likelihood = -28308.148
Iteration 68: (EM) log likelihood = -28302.816
Iteration 69: (EM) log likelihood = -28297.763
Iteration 70: (EM) log likelihood = -28294.307
Iteration 71: (EM) log likelihood = -28289.326
Iteration 72: (EM) log likelihood = -28283.28
Iteration 73: (EM) log likelihood = -28279.201
Iteration 74: (EM) log likelihood = -28274.612
Iteration 75: (EM) log likelihood = -28270.693
Iteration 76: (EM) log likelihood = -28270.37
Iteration 77: (EM) log likelihood = -28267.504
Iteration 78: (EM) log likelihood = -28263.766
Iteration 79: (EM) log likelihood = -28260.198
Iteration 80: (EM) log likelihood = -28257.738
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6786.1591
Iteration 1: (class) log likelihood = -6786.1591
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29559.274
Iteration 1: (outcome) log likelihood = -29211.446
Iteration 2: (outcome) log likelihood = -29139.184
Iteration 3: (outcome) log likelihood = -29124.335
Iteration 4: (outcome) log likelihood = -29121.497
Iteration 5: (outcome) log likelihood = -29120.886
Iteration 6: (outcome) log likelihood = -29120.741
Iteration 7: (outcome) log likelihood = -29120.709
Iteration 8: (outcome) log likelihood = -29120.702
Iteration 9: (outcome) log likelihood = -29120.7
Iteration 10: (outcome) log likelihood = -29120.7
Iteration 11: (outcome) log likelihood = -29120.7
Refining starting values:
Iteration 0: (EM) log likelihood = -35899.042
Iteration 1: (EM) log likelihood = -35856.586
Iteration 2: (EM) log likelihood = -35703.781
Iteration 3: (EM) log likelihood = -35214.001
Iteration 4: (EM) log likelihood = -34179.317
Iteration 5: (EM) log likelihood = -33081.024
Iteration 6: (EM) log likelihood = -32322.019
Iteration 7: (EM) log likelihood = -31796.527
Iteration 8: (EM) log likelihood = -31379.238
Iteration 9: (EM) log likelihood = -31004.069
Iteration 10: (EM) log likelihood = -30674.57
Iteration 11: (EM) log likelihood = -30410.728
Iteration 12: (EM) log likelihood = -30214.456
Iteration 13: (EM) log likelihood = -30072.609
Iteration 14: (EM) log likelihood = -29967.61
Iteration 15: (EM) log likelihood = -29888.185
Iteration 16: (EM) log likelihood = -29826.748
Iteration 17: (EM) log likelihood = -29777.429
Iteration 18: (EM) log likelihood = -29736.52
Iteration 19: (EM) log likelihood = -29699.198
Iteration 20: (EM) log likelihood = -29664.414
Iteration 21: (EM) log likelihood = -29629.988
Iteration 22: (EM) log likelihood = -29594.501
Iteration 23: (EM) log likelihood = -29559.482
Iteration 24: (EM) log likelihood = -29525.439
Iteration 25: (EM) log likelihood = -29492.328
Iteration 26: (EM) log likelihood = -29462.538
Iteration 27: (EM) log likelihood = -29435.469
Iteration 28: (EM) log likelihood = -29411.589
Iteration 29: (EM) log likelihood = -29390.785
Iteration 30: (EM) log likelihood = -29372.681
Iteration 31: (EM) log likelihood = -29356.845
Iteration 32: (EM) log likelihood = -29343.475
Iteration 33: (EM) log likelihood = -29331.427
Iteration 34: (EM) log likelihood = -29319.886
Iteration 35: (EM) log likelihood = -29308.755
Iteration 36: (EM) log likelihood = -29298.459
Iteration 37: (EM) log likelihood = -29287.192
Iteration 38: (EM) log likelihood = -29274.778
Iteration 39: (EM) log likelihood = -29261.685
Iteration 40: (EM) log likelihood = -29245.816
Iteration 41: (EM) log likelihood = -29227.108
Iteration 42: (EM) log likelihood = -29207.305
Iteration 43: (EM) log likelihood = -29184.234
Iteration 44: (EM) log likelihood = -29158.877
Iteration 45: (EM) log likelihood = -29131.01
Iteration 46: (EM) log likelihood = -29102.243
Iteration 47: (EM) log likelihood = -29069.689
Iteration 48: (EM) log likelihood = -29034.241
Iteration 49: (EM) log likelihood = -28993.447
Iteration 50: (EM) log likelihood = -28949.762
Iteration 51: (EM) log likelihood = -28907.952
Iteration 52: (EM) log likelihood = -28870.511
Iteration 53: (EM) log likelihood = -28839.132
Iteration 54: (EM) log likelihood = -28813.476
Iteration 55: (EM) log likelihood = -28791.61
Iteration 56: (EM) log likelihood = -28775.054
Iteration 57: (EM) log likelihood = -28761.933
Iteration 58: (EM) log likelihood = -28748.695
Iteration 59: (EM) log likelihood = -28741.777
Iteration 60: (EM) log likelihood = -28737.77
Iteration 61: (EM) log likelihood = -28734.066
Iteration 62: (EM) log likelihood = -28734.032
Iteration 63: (EM) log likelihood = -28734.402
Iteration 64: (EM) log likelihood = -28733.382
Iteration 65: (EM) log likelihood = -28731.521
Iteration 66: (EM) log likelihood = -28727.984
Iteration 67: (EM) log likelihood = -28723.853
Iteration 68: (EM) log likelihood = -28720.387
Iteration 69: (EM) log likelihood = -28716.316
Iteration 70: (EM) log likelihood = -28712.318
Iteration 71: (EM) log likelihood = -28709.452
Iteration 72: (EM) log likelihood = -28704.943
Iteration 73: (EM) log likelihood = -28699.062
Iteration 74: (EM) log likelihood = -28692.937
Iteration 75: (EM) log likelihood = -28685.784
Iteration 76: (EM) log likelihood = -28677.518
Iteration 77: (EM) log likelihood = -28667.192
Iteration 78: (EM) log likelihood = -28658.964
Iteration 79: (EM) log likelihood = -28646.256
Iteration 80: (EM) log likelihood = -28634.076
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6788.1173
Iteration 1: (class) log likelihood = -6788.1173
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29878.035
Iteration 1: (outcome) log likelihood = -29294.842
Iteration 2: (outcome) log likelihood = -29149.425
Iteration 3: (outcome) log likelihood = -29125.64
Iteration 4: (outcome) log likelihood = -29121.124
Iteration 5: (outcome) log likelihood = -29120.119
Iteration 6: (outcome) log likelihood = -29119.89
Iteration 7: (outcome) log likelihood = -29119.835
Iteration 8: (outcome) log likelihood = -29119.824
Iteration 9: (outcome) log likelihood = -29119.821
Iteration 10: (outcome) log likelihood = -29119.821
Iteration 11: (outcome) log likelihood = -29119.821
Iteration 12: (outcome) log likelihood = -29119.821
Refining starting values:
Iteration 0: (EM) log likelihood = -35875.755
Iteration 1: (EM) log likelihood = -35756.793
Iteration 2: (EM) log likelihood = -35368.7
Iteration 3: (EM) log likelihood = -34448.83
Iteration 4: (EM) log likelihood = -33268.505
Iteration 5: (EM) log likelihood = -32397.716
Iteration 6: (EM) log likelihood = -31862.848
Iteration 7: (EM) log likelihood = -31525.609
Iteration 8: (EM) log likelihood = -31277.748
Iteration 9: (EM) log likelihood = -31064.546
Iteration 10: (EM) log likelihood = -30865.874
Iteration 11: (EM) log likelihood = -30678.242
Iteration 12: (EM) log likelihood = -30494.876
Iteration 13: (EM) log likelihood = -30310.196
Iteration 14: (EM) log likelihood = -30139.992
Iteration 15: (EM) log likelihood = -29995.387
Iteration 16: (EM) log likelihood = -29879.21
Iteration 17: (EM) log likelihood = -29789.841
Iteration 18: (EM) log likelihood = -29720.544
Iteration 19: (EM) log likelihood = -29664.579
Iteration 20: (EM) log likelihood = -29618.162
Iteration 21: (EM) log likelihood = -29577.793
Iteration 22: (EM) log likelihood = -29540.668
Iteration 23: (EM) log likelihood = -29505.239
Iteration 24: (EM) log likelihood = -29469.492
Iteration 25: (EM) log likelihood = -29433.583
Iteration 26: (EM) log likelihood = -29397.004
Iteration 27: (EM) log likelihood = -29359.321
Iteration 28: (EM) log likelihood = -29320.39
Iteration 29: (EM) log likelihood = -29280.597
Iteration 30: (EM) log likelihood = -29240.044
Iteration 31: (EM) log likelihood = -29199.267
Iteration 32: (EM) log likelihood = -29158.273
Iteration 33: (EM) log likelihood = -29117.166
Iteration 34: (EM) log likelihood = -29076.833
Iteration 35: (EM) log likelihood = -29037.227
Iteration 36: (EM) log likelihood = -28998.39
Iteration 37: (EM) log likelihood = -28959.848
Iteration 38: (EM) log likelihood = -28923.096
Iteration 39: (EM) log likelihood = -28888.22
Iteration 40: (EM) log likelihood = -28855.376
Iteration 41: (EM) log likelihood = -28824.309
Iteration 42: (EM) log likelihood = -28795.699
Iteration 43: (EM) log likelihood = -28769.546
Iteration 44: (EM) log likelihood = -28743.321
Iteration 45: (EM) log likelihood = -28719.774
Iteration 46: (EM) log likelihood = -28699.892
Iteration 47: (EM) log likelihood = -28683.041
Iteration 48: (EM) log likelihood = -28666.831
Iteration 49: (EM) log likelihood = -28652.348
Iteration 50: (EM) log likelihood = -28638.436
Iteration 51: (EM) log likelihood = -28626.887
Iteration 52: (EM) log likelihood = -28617.088
Iteration 53: (EM) log likelihood = -28607.639
Iteration 54: (EM) log likelihood = -28599.574
Iteration 55: (EM) log likelihood = -28591.968
Iteration 56: (EM) log likelihood = -28584.398
Iteration 57: (EM) log likelihood = -28577.079
Iteration 58: (EM) log likelihood = -28569.956
Iteration 59: (EM) log likelihood = -28563.265
Iteration 60: (EM) log likelihood = -28556.825
Iteration 61: (EM) log likelihood = -28550.484
Iteration 62: (EM) log likelihood = -28544.719
Iteration 63: (EM) log likelihood = -28538.709
Iteration 64: (EM) log likelihood = -28532.617
Iteration 65: (EM) log likelihood = -28527.009
Iteration 66: (EM) log likelihood = -28520.369
Iteration 67: (EM) log likelihood = -28513.551
Iteration 68: (EM) log likelihood = -28505.982
Iteration 69: (EM) log likelihood = -28497.209
Iteration 70: (EM) log likelihood = -28486.371
Iteration 71: (EM) log likelihood = -28473.473
Iteration 72: (EM) log likelihood = -28458.821
Iteration 73: (EM) log likelihood = -28442.887
Iteration 74: (EM) log likelihood = -28426.432
Iteration 75: (EM) log likelihood = -28410.448
Iteration 76: (EM) log likelihood = -28396.292
Iteration 77: (EM) log likelihood = -28384.247
Iteration 78: (EM) log likelihood = -28374.808
Iteration 79: (EM) log likelihood = -28367.399
Iteration 80: (EM) log likelihood = -28361.545
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6788.5218
Iteration 1: (class) log likelihood = -6788.5218 (backed up)
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29892.108
Iteration 1: (outcome) log likelihood = -29288.165
Iteration 2: (outcome) log likelihood = -29147.097
Iteration 3: (outcome) log likelihood = -29124.204
Iteration 4: (outcome) log likelihood = -29118.834
Iteration 5: (outcome) log likelihood = -29117.589
Iteration 6: (outcome) log likelihood = -29117.328
Iteration 7: (outcome) log likelihood = -29117.283
Iteration 8: (outcome) log likelihood = -29117.278
Iteration 9: (outcome) log likelihood = -29117.277
Iteration 10: (outcome) log likelihood = -29117.277
Iteration 11: (outcome) log likelihood = -29117.277
Iteration 12: (outcome) log likelihood = -29117.277
Refining starting values:
Iteration 0: (EM) log likelihood = -35893.755
Iteration 1: (EM) log likelihood = -35851.307
Iteration 2: (EM) log likelihood = -35738.833
Iteration 3: (EM) log likelihood = -35483.404
Iteration 4: (EM) log likelihood = -35022.685
Iteration 5: (EM) log likelihood = -34310.002
Iteration 6: (EM) log likelihood = -33333.986
Iteration 7: (EM) log likelihood = -32289.025
Iteration 8: (EM) log likelihood = -31445.839
Iteration 9: (EM) log likelihood = -30846.731
Iteration 10: (EM) log likelihood = -30419.438
Iteration 11: (EM) log likelihood = -30122.306
Iteration 12: (EM) log likelihood = -29909.747
Iteration 13: (EM) log likelihood = -29745.426
Iteration 14: (EM) log likelihood = -29615.139
Iteration 15: (EM) log likelihood = -29508.076
Iteration 16: (EM) log likelihood = -29418.961
Iteration 17: (EM) log likelihood = -29344.377
Iteration 18: (EM) log likelihood = -29279.79
Iteration 19: (EM) log likelihood = -29226.708
Iteration 20: (EM) log likelihood = -29184.037
Iteration 21: (EM) log likelihood = -29151.587
Iteration 22: (EM) log likelihood = -29126.41
Iteration 23: (EM) log likelihood = -29104.155
Iteration 24: (EM) log likelihood = -29084.146
Iteration 25: (EM) log likelihood = -29065.434
Iteration 26: (EM) log likelihood = -29050.081
Iteration 27: (EM) log likelihood = -29036.918
Iteration 28: (EM) log likelihood = -29025.731
Iteration 29: (EM) log likelihood = -29016.763
Iteration 30: (EM) log likelihood = -29009.064
Iteration 31: (EM) log likelihood = -29002.511
Iteration 32: (EM) log likelihood = -28995.926
Iteration 33: (EM) log likelihood = -28990.424
Iteration 34: (EM) log likelihood = -28983.385
Iteration 35: (EM) log likelihood = -28976.372
Iteration 36: (EM) log likelihood = -28970.484
Iteration 37: (EM) log likelihood = -28963.44
Iteration 38: (EM) log likelihood = -28956.48
Iteration 39: (EM) log likelihood = -28948.897
Iteration 40: (EM) log likelihood = -28940.215
Iteration 41: (EM) log likelihood = -28930.356
Iteration 42: (EM) log likelihood = -28920.736
Iteration 43: (EM) log likelihood = -28909.799
Iteration 44: (EM) log likelihood = -28897.734
Iteration 45: (EM) log likelihood = -28886.254
Iteration 46: (EM) log likelihood = -28874.122
Iteration 47: (EM) log likelihood = -28862.039
Iteration 48: (EM) log likelihood = -28848.581
Iteration 49: (EM) log likelihood = -28835.019
Iteration 50: (EM) log likelihood = -28821.98
Iteration 51: (EM) log likelihood = -28808.58
Iteration 52: (EM) log likelihood = -28795.44
Iteration 53: (EM) log likelihood = -28783.99
Iteration 54: (EM) log likelihood = -28770.385
Iteration 55: (EM) log likelihood = -28758.239
Iteration 56: (EM) log likelihood = -28747.372
Iteration 57: (EM) log likelihood = -28737.832
Iteration 58: (EM) log likelihood = -28726.528
Iteration 59: (EM) log likelihood = -28717.837
Iteration 60: (EM) log likelihood = -28709.53
Iteration 61: (EM) log likelihood = -28702.183
Iteration 62: (EM) log likelihood = -28695.892
Iteration 63: (EM) log likelihood = -28690.292
Iteration 64: (EM) log likelihood = -28684.912
Iteration 65: (EM) log likelihood = -28679.633
Iteration 66: (EM) log likelihood = -28674.932
Iteration 67: (EM) log likelihood = -28670.374
Iteration 68: (EM) log likelihood = -28666.104
Iteration 69: (EM) log likelihood = -28662.512
Iteration 70: (EM) log likelihood = -28659.068
Iteration 71: (EM) log likelihood = -28655.568
Iteration 72: (EM) log likelihood = -28652.157
Iteration 73: (EM) log likelihood = -28648.83
Iteration 74: (EM) log likelihood = -28646.005
Iteration 75: (EM) log likelihood = -28643.299
Iteration 76: (EM) log likelihood = -28640.453
Iteration 77: (EM) log likelihood = -28637.902
Iteration 78: (EM) log likelihood = -28635.423
Iteration 79: (EM) log likelihood = -28633.121
Iteration 80: (EM) log likelihood = -28630.851
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6785.4039
Iteration 1: (class) log likelihood = -6785.4039
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29653.089
Iteration 1: (outcome) log likelihood = -29223.766
Iteration 2: (outcome) log likelihood = -29125.875
Iteration 3: (outcome) log likelihood = -29110.796
Iteration 4: (outcome) log likelihood = -29108.039
Iteration 5: (outcome) log likelihood = -29107.426
Iteration 6: (outcome) log likelihood = -29107.281
Iteration 7: (outcome) log likelihood = -29107.249
Iteration 8: (outcome) log likelihood = -29107.241
Iteration 9: (outcome) log likelihood = -29107.24
Iteration 10: (outcome) log likelihood = -29107.24
Iteration 11: (outcome) log likelihood = -29107.24
Refining starting values:
Iteration 0: (EM) log likelihood = -35854.385
Iteration 1: (EM) log likelihood = -35698.072
Iteration 2: (EM) log likelihood = -35180.042
Iteration 3: (EM) log likelihood = -34135.536
Iteration 4: (EM) log likelihood = -33124.869
Iteration 5: (EM) log likelihood = -32498.244
Iteration 6: (EM) log likelihood = -32105.671
Iteration 7: (EM) log likelihood = -31799.465
Iteration 8: (EM) log likelihood = -31513.541
Iteration 9: (EM) log likelihood = -31238.636
Iteration 10: (EM) log likelihood = -30974.076
Iteration 11: (EM) log likelihood = -30727.423
Iteration 12: (EM) log likelihood = -30506.187
Iteration 13: (EM) log likelihood = -30310.632
Iteration 14: (EM) log likelihood = -30152.727
Iteration 15: (EM) log likelihood = -30023.074
Iteration 16: (EM) log likelihood = -29916.981
Iteration 17: (EM) log likelihood = -29827.158
Iteration 18: (EM) log likelihood = -29748.849
Iteration 19: (EM) log likelihood = -29680.503
Iteration 20: (EM) log likelihood = -29618.866
Iteration 21: (EM) log likelihood = -29563.7
Iteration 22: (EM) log likelihood = -29513.415
Iteration 23: (EM) log likelihood = -29467.481
Iteration 24: (EM) log likelihood = -29424.475
Iteration 25: (EM) log likelihood = -29384.742
Iteration 26: (EM) log likelihood = -29347.005
Iteration 27: (EM) log likelihood = -29310.687
Iteration 28: (EM) log likelihood = -29276.418
Iteration 29: (EM) log likelihood = -29243.093
Iteration 30: (EM) log likelihood = -29210.583
Iteration 31: (EM) log likelihood = -29178.481
Iteration 32: (EM) log likelihood = -29148.872
Iteration 33: (EM) log likelihood = -29121.651
Iteration 34: (EM) log likelihood = -29096.855
Iteration 35: (EM) log likelihood = -29073.771
Iteration 36: (EM) log likelihood = -29053.096
Iteration 37: (EM) log likelihood = -29033.317
Iteration 38: (EM) log likelihood = -29014.881
Iteration 39: (EM) log likelihood = -28997.304
Iteration 40: (EM) log likelihood = -28981.956
Iteration 41: (EM) log likelihood = -28966.077
Iteration 42: (EM) log likelihood = -28951.055
Iteration 43: (EM) log likelihood = -28936.854
Iteration 44: (EM) log likelihood = -28923.198
Iteration 45: (EM) log likelihood = -28910.436
Iteration 46: (EM) log likelihood = -28897.783
Iteration 47: (EM) log likelihood = -28885.654
Iteration 48: (EM) log likelihood = -28874.166
Iteration 49: (EM) log likelihood = -28862.73
Iteration 50: (EM) log likelihood = -28851.803
Iteration 51: (EM) log likelihood = -28842.176
Iteration 52: (EM) log likelihood = -28832.246
Iteration 53: (EM) log likelihood = -28822.188
Iteration 54: (EM) log likelihood = -28812.872
Iteration 55: (EM) log likelihood = -28803.693
Iteration 56: (EM) log likelihood = -28794.773
Iteration 57: (EM) log likelihood = -28786.376
Iteration 58: (EM) log likelihood = -28777.91
Iteration 59: (EM) log likelihood = -28769.922
Iteration 60: (EM) log likelihood = -28762.258
Iteration 61: (EM) log likelihood = -28754.95
Iteration 62: (EM) log likelihood = -28747.822
Iteration 63: (EM) log likelihood = -28740.919
Iteration 64: (EM) log likelihood = -28735.011
Iteration 65: (EM) log likelihood = -28728.67
Iteration 66: (EM) log likelihood = -28723.339
Iteration 67: (EM) log likelihood = -28717.536
Iteration 68: (EM) log likelihood = -28713.592
Iteration 69: (EM) log likelihood = -28708.119
Iteration 70: (EM) log likelihood = -28702.959
Iteration 71: (EM) log likelihood = -28697.926
Iteration 72: (EM) log likelihood = -28693.032
Iteration 73: (EM) log likelihood = -28687.921
Iteration 74: (EM) log likelihood = -28683.339
Iteration 75: (EM) log likelihood = -28678.793
Iteration 76: (EM) log likelihood = -28675.032
Iteration 77: (EM) log likelihood = -28670.672
Iteration 78: (EM) log likelihood = -28666.7
Iteration 79: (EM) log likelihood = -28662.727
Iteration 80: (EM) log likelihood = -28659.235
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6785.3002
Iteration 1: (class) log likelihood = -6785.3002
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29115.389
Iteration 1: (outcome) log likelihood = -29115.389
Refining starting values:
Iteration 0: (EM) log likelihood = -35884.799
Iteration 1: (EM) log likelihood = -35814.568
Iteration 2: (EM) log likelihood = -35573.015
Iteration 3: (EM) log likelihood = -34928.204
Iteration 4: (EM) log likelihood = -33919.162
Iteration 5: (EM) log likelihood = -32988.812
Iteration 6: (EM) log likelihood = -32312.035
Iteration 7: (EM) log likelihood = -31820.903
Iteration 8: (EM) log likelihood = -31438.586
Iteration 9: (EM) log likelihood = -31110.007
Iteration 10: (EM) log likelihood = -30813.399
Iteration 11: (EM) log likelihood = -30551.24
Iteration 12: (EM) log likelihood = -30332.935
Iteration 13: (EM) log likelihood = -30160.153
Iteration 14: (EM) log likelihood = -30030.245
Iteration 15: (EM) log likelihood = -29930.32
Iteration 16: (EM) log likelihood = -29852.124
Iteration 17: (EM) log likelihood = -29790.381
Iteration 18: (EM) log likelihood = -29735.666
Iteration 19: (EM) log likelihood = -29687.699
Iteration 20: (EM) log likelihood = -29642.533
Iteration 21: (EM) log likelihood = -29600.681
Iteration 22: (EM) log likelihood = -29562.367
Iteration 23: (EM) log likelihood = -29525.93
Iteration 24: (EM) log likelihood = -29489.629
Iteration 25: (EM) log likelihood = -29456.143
Iteration 26: (EM) log likelihood = -29422.967
Iteration 27: (EM) log likelihood = -29391.216
Iteration 28: (EM) log likelihood = -29361.299
Iteration 29: (EM) log likelihood = -29333.254
Iteration 30: (EM) log likelihood = -29306.868
Iteration 31: (EM) log likelihood = -29281.14
Iteration 32: (EM) log likelihood = -29257.319
Iteration 33: (EM) log likelihood = -29234.838
Iteration 34: (EM) log likelihood = -29211.197
Iteration 35: (EM) log likelihood = -29189.885
Iteration 36: (EM) log likelihood = -29169.238
Iteration 37: (EM) log likelihood = -29149.612
Iteration 38: (EM) log likelihood = -29130.312
Iteration 39: (EM) log likelihood = -29111.394
Iteration 40: (EM) log likelihood = -29094.059
Iteration 41: (EM) log likelihood = -29076.439
Iteration 42: (EM) log likelihood = -29060.112
Iteration 43: (EM) log likelihood = -29044.293
Iteration 44: (EM) log likelihood = -29030.056
Iteration 45: (EM) log likelihood = -29015.943
Iteration 46: (EM) log likelihood = -29002.054
Iteration 47: (EM) log likelihood = -28989.483
Iteration 48: (EM) log likelihood = -28977.403
Iteration 49: (EM) log likelihood = -28967.292
Iteration 50: (EM) log likelihood = -28956.347
Iteration 51: (EM) log likelihood = -28946.587
Iteration 52: (EM) log likelihood = -28936.723
Iteration 53: (EM) log likelihood = -28926.535
Iteration 54: (EM) log likelihood = -28915.13
Iteration 55: (EM) log likelihood = -28905.221
Iteration 56: (EM) log likelihood = -28894.505
Iteration 57: (EM) log likelihood = -28883.772
Iteration 58: (EM) log likelihood = -28873.668
Iteration 59: (EM) log likelihood = -28863.571
Iteration 60: (EM) log likelihood = -28853.605
Iteration 61: (EM) log likelihood = -28845.191
Iteration 62: (EM) log likelihood = -28835.934
Iteration 63: (EM) log likelihood = -28827.736
Iteration 64: (EM) log likelihood = -28819.692
Iteration 65: (EM) log likelihood = -28811.563
Iteration 66: (EM) log likelihood = -28803.958
Iteration 67: (EM) log likelihood = -28796.285
Iteration 68: (EM) log likelihood = -28788.943
Iteration 69: (EM) log likelihood = -28781.993
Iteration 70: (EM) log likelihood = -28775.193
Iteration 71: (EM) log likelihood = -28768.611
Iteration 72: (EM) log likelihood = -28761.926
Iteration 73: (EM) log likelihood = -28753.861
Iteration 74: (EM) log likelihood = -28745.142
Iteration 75: (EM) log likelihood = -28737.201
Iteration 76: (EM) log likelihood = -28730.03
Iteration 77: (EM) log likelihood = -28722.855
Iteration 78: (EM) log likelihood = -28716.526
Iteration 79: (EM) log likelihood = -28709.912
Iteration 80: (EM) log likelihood = -28702.017
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.2753
Iteration 1: (class) log likelihood = -6787.2753
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29112.696
Iteration 1: (outcome) log likelihood = -29112.696
Refining starting values:
Iteration 0: (EM) log likelihood = -35861.617
Iteration 1: (EM) log likelihood = -35692.892
Iteration 2: (EM) log likelihood = -35120.826
Iteration 3: (EM) log likelihood = -33983.743
Iteration 4: (EM) log likelihood = -32871.196
Iteration 5: (EM) log likelihood = -32116.4
Iteration 6: (EM) log likelihood = -31597.134
Iteration 7: (EM) log likelihood = -31197.005
Iteration 8: (EM) log likelihood = -30862.729
Iteration 9: (EM) log likelihood = -30577.085
Iteration 10: (EM) log likelihood = -30333.476
Iteration 11: (EM) log likelihood = -30119.952
Iteration 12: (EM) log likelihood = -29933.123
Iteration 13: (EM) log likelihood = -29772.512
Iteration 14: (EM) log likelihood = -29635.471
Iteration 15: (EM) log likelihood = -29522.458
Iteration 16: (EM) log likelihood = -29426.71
Iteration 17: (EM) log likelihood = -29342.587
Iteration 18: (EM) log likelihood = -29268.116
Iteration 19: (EM) log likelihood = -29198.832
Iteration 20: (EM) log likelihood = -29133.774
Iteration 21: (EM) log likelihood = -29071.011
Iteration 22: (EM) log likelihood = -29011.364
Iteration 23: (EM) log likelihood = -28955.356
Iteration 24: (EM) log likelihood = -28900.405
Iteration 25: (EM) log likelihood = -28849.711
Iteration 26: (EM) log likelihood = -28801.173
Iteration 27: (EM) log likelihood = -28755.502
Iteration 28: (EM) log likelihood = -28712.767
Iteration 29: (EM) log likelihood = -28674.414
Iteration 30: (EM) log likelihood = -28637.645
Iteration 31: (EM) log likelihood = -28605.194
Iteration 32: (EM) log likelihood = -28573.727
Iteration 33: (EM) log likelihood = -28546.711
Iteration 34: (EM) log likelihood = -28521.19
Iteration 35: (EM) log likelihood = -28496.462
Iteration 36: (EM) log likelihood = -28474.226
Iteration 37: (EM) log likelihood = -28454.181
Iteration 38: (EM) log likelihood = -28434.998
Iteration 39: (EM) log likelihood = -28419.112
Iteration 40: (EM) log likelihood = -28403.985
Iteration 41: (EM) log likelihood = -28386.788
Iteration 42: (EM) log likelihood = -28372.568
Iteration 43: (EM) log likelihood = -28362.304
Iteration 44: (EM) log likelihood = -28352.02
Iteration 45: (EM) log likelihood = -28341.654
Iteration 46: (EM) log likelihood = -28332.525
Iteration 47: (EM) log likelihood = -28324.047
Iteration 48: (EM) log likelihood = -28315.826
Iteration 49: (EM) log likelihood = -28308.782
Iteration 50: (EM) log likelihood = -28301.568
Iteration 51: (EM) log likelihood = -28295.693
Iteration 52: (EM) log likelihood = -28290.49
Iteration 53: (EM) log likelihood = -28285.633
Iteration 54: (EM) log likelihood = -28281.199
Iteration 55: (EM) log likelihood = -28276.132
Iteration 56: (EM) log likelihood = -28273.2
Iteration 57: (EM) log likelihood = -28269.151
Iteration 58: (EM) log likelihood = -28265.265
Iteration 59: (EM) log likelihood = -28260.001
Iteration 60: (EM) log likelihood = -28256.652
Iteration 61: (EM) log likelihood = -28252.29
Iteration 62: (EM) log likelihood = -28247.111
Iteration 63: (EM) log likelihood = -28244.235
Iteration 64: (EM) log likelihood = -28242.42
Iteration 65: (EM) log likelihood = -28239.647
Iteration 66: (EM) log likelihood = -28236.401
Iteration 67: (EM) log likelihood = -28234.972
Iteration 68: (EM) log likelihood = -28231.513
Iteration 69: (EM) log likelihood = -28228.562
Iteration 70: (EM) log likelihood = -28226.514
Iteration 71: (EM) log likelihood = -28224.012
Iteration 72: (EM) log likelihood = -28221.631
Iteration 73: (EM) log likelihood = -28219.386
Iteration 74: (EM) log likelihood = -28216.128
Iteration 75: (EM) log likelihood = -28212.169
Iteration 76: (EM) log likelihood = -28210.232
Iteration 77: (EM) log likelihood = -28207.242
Iteration 78: (EM) log likelihood = -28205.128
Iteration 79: (EM) log likelihood = -28201.874
Iteration 80: (EM) log likelihood = -28202.465
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.9951
Iteration 1: (class) log likelihood = -6787.9951
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29571.744
Iteration 1: (outcome) log likelihood = -29216.379
Iteration 2: (outcome) log likelihood = -29141.875
Iteration 3: (outcome) log likelihood = -29127.03
Iteration 4: (outcome) log likelihood = -29124.062
Iteration 5: (outcome) log likelihood = -29123.435
Iteration 6: (outcome) log likelihood = -29123.29
Iteration 7: (outcome) log likelihood = -29123.256
Iteration 8: (outcome) log likelihood = -29123.249
Iteration 9: (outcome) log likelihood = -29123.247
Iteration 10: (outcome) log likelihood = -29123.247
Iteration 11: (outcome) log likelihood = -29123.247
Iteration 12: (outcome) log likelihood = -29123.247
Refining starting values:
Iteration 0: (EM) log likelihood = -35892.469
Iteration 1: (EM) log likelihood = -35820.126
Iteration 2: (EM) log likelihood = -35577.84
Iteration 3: (EM) log likelihood = -34934.575
Iteration 4: (EM) log likelihood = -33931.286
Iteration 5: (EM) log likelihood = -32995.66
Iteration 6: (EM) log likelihood = -32218.463
Iteration 7: (EM) log likelihood = -31559.489
Iteration 8: (EM) log likelihood = -31061.877
Iteration 9: (EM) log likelihood = -30717.785
Iteration 10: (EM) log likelihood = -30473.375
Iteration 11: (EM) log likelihood = -30283.082
Iteration 12: (EM) log likelihood = -30125.331
Iteration 13: (EM) log likelihood = -29991.114
Iteration 14: (EM) log likelihood = -29879.061
Iteration 15: (EM) log likelihood = -29783.42
Iteration 16: (EM) log likelihood = -29701.437
Iteration 17: (EM) log likelihood = -29625.898
Iteration 18: (EM) log likelihood = -29559.057
Iteration 19: (EM) log likelihood = -29497.562
Iteration 20: (EM) log likelihood = -29441.117
Iteration 21: (EM) log likelihood = -29387.665
Iteration 22: (EM) log likelihood = -29339.403
Iteration 23: (EM) log likelihood = -29294.764
Iteration 24: (EM) log likelihood = -29256.376
Iteration 25: (EM) log likelihood = -29221.84
Iteration 26: (EM) log likelihood = -29193.255
Iteration 27: (EM) log likelihood = -29168.125
Iteration 28: (EM) log likelihood = -29147.998
Iteration 29: (EM) log likelihood = -29130.563
Iteration 30: (EM) log likelihood = -29116.53
Iteration 31: (EM) log likelihood = -29103.896
Iteration 32: (EM) log likelihood = -29091.219
Iteration 33: (EM) log likelihood = -29080.191
Iteration 34: (EM) log likelihood = -29069.78
Iteration 35: (EM) log likelihood = -29059.789
Iteration 36: (EM) log likelihood = -29051.221
Iteration 37: (EM) log likelihood = -29041.446
Iteration 38: (EM) log likelihood = -29030.918
Iteration 39: (EM) log likelihood = -29025.188
Iteration 40: (EM) log likelihood = -29013.454
Iteration 41: (EM) log likelihood = -29000.839
Iteration 42: (EM) log likelihood = -28988.804
Iteration 43: (EM) log likelihood = -28976.065
Iteration 44: (EM) log likelihood = -28963.89
Iteration 45: (EM) log likelihood = -28950.325
Iteration 46: (EM) log likelihood = -28933.527
Iteration 47: (EM) log likelihood = -28918.173
Iteration 48: (EM) log likelihood = -28902.318
Iteration 49: (EM) log likelihood = -28886.823
Iteration 50: (EM) log likelihood = -28869.786
Iteration 51: (EM) log likelihood = -28852.559
Iteration 52: (EM) log likelihood = -28835.914
Iteration 53: (EM) log likelihood = -28816.632
Iteration 54: (EM) log likelihood = -28799.375
Iteration 55: (EM) log likelihood = -28782.687
Iteration 56: (EM) log likelihood = -28766.441
Iteration 57: (EM) log likelihood = -28750.66
Iteration 58: (EM) log likelihood = -28736.423
Iteration 59: (EM) log likelihood = -28722.055
Iteration 60: (EM) log likelihood = -28709
Iteration 61: (EM) log likelihood = -28696.096
Iteration 62: (EM) log likelihood = -28684.312
Iteration 63: (EM) log likelihood = -28674.554
Iteration 64: (EM) log likelihood = -28665.662
Iteration 65: (EM) log likelihood = -28657.672
Iteration 66: (EM) log likelihood = -28650.71
Iteration 67: (EM) log likelihood = -28643.633
Iteration 68: (EM) log likelihood = -28637.514
Iteration 69: (EM) log likelihood = -28632.133
Iteration 70: (EM) log likelihood = -28626.371
Iteration 71: (EM) log likelihood = -28621.215
Iteration 72: (EM) log likelihood = -28617.78
Iteration 73: (EM) log likelihood = -28613.818
Iteration 74: (EM) log likelihood = -28609.388
Iteration 75: (EM) log likelihood = -28605.408
Iteration 76: (EM) log likelihood = -28601.955
Iteration 77: (EM) log likelihood = -28598.061
Iteration 78: (EM) log likelihood = -28594.455
Iteration 79: (EM) log likelihood = -28591.138
Iteration 80: (EM) log likelihood = -28587.979
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6782.7791
Iteration 1: (class) log likelihood = -6782.7791
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29563.452
Iteration 1: (outcome) log likelihood = -29200.434
Iteration 2: (outcome) log likelihood = -29115.555
Iteration 3: (outcome) log likelihood = -29100.325
Iteration 4: (outcome) log likelihood = -29096.654
Iteration 5: (outcome) log likelihood = -29095.847
Iteration 6: (outcome) log likelihood = -29095.667
Iteration 7: (outcome) log likelihood = -29095.637
Iteration 8: (outcome) log likelihood = -29095.634
Iteration 9: (outcome) log likelihood = -29095.633
Iteration 10: (outcome) log likelihood = -29095.633
Iteration 11: (outcome) log likelihood = -29095.633
Iteration 12: (outcome) log likelihood = -29095.633
Refining starting values:
Iteration 0: (EM) log likelihood = -35847.968
Iteration 1: (EM) log likelihood = -35732.087
Iteration 2: (EM) log likelihood = -35369.942
Iteration 3: (EM) log likelihood = -34581.2
Iteration 4: (EM) log likelihood = -33633.854
Iteration 5: (EM) log likelihood = -32866.789
Iteration 6: (EM) log likelihood = -32289.897
Iteration 7: (EM) log likelihood = -31826.013
Iteration 8: (EM) log likelihood = -31448.213
Iteration 9: (EM) log likelihood = -31154.409
Iteration 10: (EM) log likelihood = -30920.176
Iteration 11: (EM) log likelihood = -30728.522
Iteration 12: (EM) log likelihood = -30566.013
Iteration 13: (EM) log likelihood = -30423.732
Iteration 14: (EM) log likelihood = -30298.946
Iteration 15: (EM) log likelihood = -30192.334
Iteration 16: (EM) log likelihood = -30104.015
Iteration 17: (EM) log likelihood = -30027.735
Iteration 18: (EM) log likelihood = -29961.383
Iteration 19: (EM) log likelihood = -29900.327
Iteration 20: (EM) log likelihood = -29842.562
Iteration 21: (EM) log likelihood = -29785.284
Iteration 22: (EM) log likelihood = -29726.702
Iteration 23: (EM) log likelihood = -29669.117
Iteration 24: (EM) log likelihood = -29611.072
Iteration 25: (EM) log likelihood = -29551.597
Iteration 26: (EM) log likelihood = -29493.807
Iteration 27: (EM) log likelihood = -29438.972
Iteration 28: (EM) log likelihood = -29384.301
Iteration 29: (EM) log likelihood = -29334.982
Iteration 30: (EM) log likelihood = -29289.491
Iteration 31: (EM) log likelihood = -29249.831
Iteration 32: (EM) log likelihood = -29216.431
Iteration 33: (EM) log likelihood = -29184.844
Iteration 34: (EM) log likelihood = -29155.981
Iteration 35: (EM) log likelihood = -29127.776
Iteration 36: (EM) log likelihood = -29101.077
Iteration 37: (EM) log likelihood = -29073.529
Iteration 38: (EM) log likelihood = -29045.724
Iteration 39: (EM) log likelihood = -29015.649
Iteration 40: (EM) log likelihood = -28984.73
Iteration 41: (EM) log likelihood = -28953.267
Iteration 42: (EM) log likelihood = -28922.286
Iteration 43: (EM) log likelihood = -28888.71
Iteration 44: (EM) log likelihood = -28856.657
Iteration 45: (EM) log likelihood = -28824.913
Iteration 46: (EM) log likelihood = -28792.169
Iteration 47: (EM) log likelihood = -28760.645
Iteration 48: (EM) log likelihood = -28732.942
Iteration 49: (EM) log likelihood = -28706.69
Iteration 50: (EM) log likelihood = -28682.859
Iteration 51: (EM) log likelihood = -28658.385
Iteration 52: (EM) log likelihood = -28635.927
Iteration 53: (EM) log likelihood = -28615.12
Iteration 54: (EM) log likelihood = -28594.726
Iteration 55: (EM) log likelihood = -28576.775
Iteration 56: (EM) log likelihood = -28563.133
Iteration 57: (EM) log likelihood = -28547.499
Iteration 58: (EM) log likelihood = -28528.109
Iteration 59: (EM) log likelihood = -28500.842
Iteration 60: (EM) log likelihood = -28470.225
Iteration 61: (EM) log likelihood = -28452.22
Iteration 62: (EM) log likelihood = -28438.62
Iteration 63: (EM) log likelihood = -28427.508
Iteration 64: (EM) log likelihood = -28414.822
Iteration 65: (EM) log likelihood = -28404.426
Iteration 66: (EM) log likelihood = -28405.472
Iteration 67: (EM) log likelihood = -28394.659
Iteration 68: (EM) log likelihood = -28381.392
Iteration 69: (EM) log likelihood = -28372.096
Iteration 70: (EM) log likelihood = -28366.614
Iteration 71: (EM) log likelihood = -28358.138
Iteration 72: (EM) log likelihood = -28349.613
Iteration 73: (EM) log likelihood = -28346.367
Iteration 74: (EM) log likelihood = -28338.251
Iteration 75: (EM) log likelihood = -28328.954
Iteration 76: (EM) log likelihood = -28321.797
Iteration 77: (EM) log likelihood = -28314.257
Iteration 78: (EM) log likelihood = -28305.77
Iteration 79: (EM) log likelihood = -28296.087
Iteration 80: (EM) log likelihood = -28290.327
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.7211
Iteration 1: (class) log likelihood = -6787.7211
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29453.354
Iteration 1: (outcome) log likelihood = -29179.873
Iteration 2: (outcome) log likelihood = -29128.759
Iteration 3: (outcome) log likelihood = -29121.028
Iteration 4: (outcome) log likelihood = -29119.145
Iteration 5: (outcome) log likelihood = -29118.783
Iteration 6: (outcome) log likelihood = -29118.722
Iteration 7: (outcome) log likelihood = -29118.707
Iteration 8: (outcome) log likelihood = -29118.704
Iteration 9: (outcome) log likelihood = -29118.703
Iteration 10: (outcome) log likelihood = -29118.703
Iteration 11: (outcome) log likelihood = -29118.703
Refining starting values:
Iteration 0: (EM) log likelihood = -35899.606
Iteration 1: (EM) log likelihood = -35864.558
Iteration 2: (EM) log likelihood = -35743.182
Iteration 3: (EM) log likelihood = -35385.517
Iteration 4: (EM) log likelihood = -34664.779
Iteration 5: (EM) log likelihood = -33786.572
Iteration 6: (EM) log likelihood = -32994.123
Iteration 7: (EM) log likelihood = -32279.212
Iteration 8: (EM) log likelihood = -31612.568
Iteration 9: (EM) log likelihood = -31016.664
Iteration 10: (EM) log likelihood = -30566.733
Iteration 11: (EM) log likelihood = -30268.793
Iteration 12: (EM) log likelihood = -30081.365
Iteration 13: (EM) log likelihood = -29963.841
Iteration 14: (EM) log likelihood = -29886.781
Iteration 15: (EM) log likelihood = -29833.681
Iteration 16: (EM) log likelihood = -29795.97
Iteration 17: (EM) log likelihood = -29766.646
Iteration 18: (EM) log likelihood = -29743.473
Iteration 19: (EM) log likelihood = -29723.249
Iteration 20: (EM) log likelihood = -29704.684
Iteration 21: (EM) log likelihood = -29686.064
Iteration 22: (EM) log likelihood = -29667.518
Iteration 23: (EM) log likelihood = -29648.923
Iteration 24: (EM) log likelihood = -29630.848
Iteration 25: (EM) log likelihood = -29613.024
Iteration 26: (EM) log likelihood = -29595.331
Iteration 27: (EM) log likelihood = -29579.355
Iteration 28: (EM) log likelihood = -29562.445
Iteration 29: (EM) log likelihood = -29546.321
Iteration 30: (EM) log likelihood = -29530.888
Iteration 31: (EM) log likelihood = -29515.244
Iteration 32: (EM) log likelihood = -29499.285
Iteration 33: (EM) log likelihood = -29482.56
Iteration 34: (EM) log likelihood = -29464.869
Iteration 35: (EM) log likelihood = -29445.902
Iteration 36: (EM) log likelihood = -29425.652
Iteration 37: (EM) log likelihood = -29405.142
Iteration 38: (EM) log likelihood = -29383.096
Iteration 39: (EM) log likelihood = -29360.144
Iteration 40: (EM) log likelihood = -29336.731
Iteration 41: (EM) log likelihood = -29312.779
Iteration 42: (EM) log likelihood = -29288.703
Iteration 43: (EM) log likelihood = -29264.991
Iteration 44: (EM) log likelihood = -29241.256
Iteration 45: (EM) log likelihood = -29218.188
Iteration 46: (EM) log likelihood = -29196.065
Iteration 47: (EM) log likelihood = -29175.029
Iteration 48: (EM) log likelihood = -29155.275
Iteration 49: (EM) log likelihood = -29136.447
Iteration 50: (EM) log likelihood = -29117.115
Iteration 51: (EM) log likelihood = -29097.789
Iteration 52: (EM) log likelihood = -29078.043
Iteration 53: (EM) log likelihood = -29057.775
Iteration 54: (EM) log likelihood = -29039.505
Iteration 55: (EM) log likelihood = -29021.001
Iteration 56: (EM) log likelihood = -29004.925
Iteration 57: (EM) log likelihood = -28990.783
Iteration 58: (EM) log likelihood = -28976.752
Iteration 59: (EM) log likelihood = -28965.187
Iteration 60: (EM) log likelihood = -28953.816
Iteration 61: (EM) log likelihood = -28943.638
Iteration 62: (EM) log likelihood = -28934.658
Iteration 63: (EM) log likelihood = -28926.601
Iteration 64: (EM) log likelihood = -28920.072
Iteration 65: (EM) log likelihood = -28914.006
Iteration 66: (EM) log likelihood = -28909.745
Iteration 67: (EM) log likelihood = -28905.369
Iteration 68: (EM) log likelihood = -28900.557
Iteration 69: (EM) log likelihood = -28896.761
Iteration 70: (EM) log likelihood = -28891.957
Iteration 71: (EM) log likelihood = -28889.037
Iteration 72: (EM) log likelihood = -28885.572
Iteration 73: (EM) log likelihood = -28884.512
Iteration 74: (EM) log likelihood = -28879.522
Iteration 75: (EM) log likelihood = -28875.286
Iteration 76: (EM) log likelihood = -28871.687
Iteration 77: (EM) log likelihood = -28867.411
Iteration 78: (EM) log likelihood = -28863.825
Iteration 79: (EM) log likelihood = -28859.365
Iteration 80: (EM) log likelihood = -28856.283
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.4856
Iteration 1: (class) log likelihood = -6787.4856
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29345.74
Iteration 1: (outcome) log likelihood = -29183.442
Iteration 2: (outcome) log likelihood = -29130.942
Iteration 3: (outcome) log likelihood = -29122.547
Iteration 4: (outcome) log likelihood = -29121.351
Iteration 5: (outcome) log likelihood = -29121.205
Iteration 6: (outcome) log likelihood = -29121.176
Iteration 7: (outcome) log likelihood = -29121.17
Iteration 8: (outcome) log likelihood = -29121.169
Iteration 9: (outcome) log likelihood = -29121.168
Iteration 10: (outcome) log likelihood = -29121.168
Iteration 11: (outcome) log likelihood = -29121.168
Refining starting values:
Iteration 0: (EM) log likelihood = -35882.692
Iteration 1: (EM) log likelihood = -35773.837
Iteration 2: (EM) log likelihood = -35376.095
Iteration 3: (EM) log likelihood = -34364.386
Iteration 4: (EM) log likelihood = -33147.464
Iteration 5: (EM) log likelihood = -32321.993
Iteration 6: (EM) log likelihood = -31766.15
Iteration 7: (EM) log likelihood = -31345.4
Iteration 8: (EM) log likelihood = -31015.497
Iteration 9: (EM) log likelihood = -30768.724
Iteration 10: (EM) log likelihood = -30589.728
Iteration 11: (EM) log likelihood = -30463.389
Iteration 12: (EM) log likelihood = -30369.365
Iteration 13: (EM) log likelihood = -30305.236
Iteration 14: (EM) log likelihood = -30255.443
Iteration 15: (EM) log likelihood = -30216.924
Iteration 16: (EM) log likelihood = -30183.448
Iteration 17: (EM) log likelihood = -30154.103
Iteration 18: (EM) log likelihood = -30125.989
Iteration 19: (EM) log likelihood = -30101.478
Iteration 20: (EM) log likelihood = -30078.154
Iteration 21: (EM) log likelihood = -30055.309
Iteration 22: (EM) log likelihood = -30032.52
Iteration 23: (EM) log likelihood = -30009.877
Iteration 24: (EM) log likelihood = -29987.33
Iteration 25: (EM) log likelihood = -29963.835
Iteration 26: (EM) log likelihood = -29939.558
Iteration 27: (EM) log likelihood = -29914.155
Iteration 28: (EM) log likelihood = -29886.396
Iteration 29: (EM) log likelihood = -29856.655
Iteration 30: (EM) log likelihood = -29823.814
Iteration 31: (EM) log likelihood = -29788.004
Iteration 32: (EM) log likelihood = -29748.872
Iteration 33: (EM) log likelihood = -29706.026
Iteration 34: (EM) log likelihood = -29662.93
Iteration 35: (EM) log likelihood = -29618.644
Iteration 36: (EM) log likelihood = -29574.802
Iteration 37: (EM) log likelihood = -29530.569
Iteration 38: (EM) log likelihood = -29487.89
Iteration 39: (EM) log likelihood = -29446.533
Iteration 40: (EM) log likelihood = -29407.527
Iteration 41: (EM) log likelihood = -29370.846
Iteration 42: (EM) log likelihood = -29336.82
Iteration 43: (EM) log likelihood = -29305.457
Iteration 44: (EM) log likelihood = -29277.152
Iteration 45: (EM) log likelihood = -29250.701
Iteration 46: (EM) log likelihood = -29225.433
Iteration 47: (EM) log likelihood = -29201.121
Iteration 48: (EM) log likelihood = -29176.689
Iteration 49: (EM) log likelihood = -29152.226
Iteration 50: (EM) log likelihood = -29127.172
Iteration 51: (EM) log likelihood = -29101.278
Iteration 52: (EM) log likelihood = -29074.739
Iteration 53: (EM) log likelihood = -29046.647
Iteration 54: (EM) log likelihood = -29016.337
Iteration 55: (EM) log likelihood = -28982.595
Iteration 56: (EM) log likelihood = -28948.168
Iteration 57: (EM) log likelihood = -28913.108
Iteration 58: (EM) log likelihood = -28874.711
Iteration 59: (EM) log likelihood = -28833.076
Iteration 60: (EM) log likelihood = -28791.468
Iteration 61: (EM) log likelihood = -28750.263
Iteration 62: (EM) log likelihood = -28709.25
Iteration 63: (EM) log likelihood = -28668.822
Iteration 64: (EM) log likelihood = -28629.415
Iteration 65: (EM) log likelihood = -28592.543
Iteration 66: (EM) log likelihood = -28557.763
Iteration 67: (EM) log likelihood = -28524.99
Iteration 68: (EM) log likelihood = -28494.444
Iteration 69: (EM) log likelihood = -28465.021
Iteration 70: (EM) log likelihood = -28437.925
Iteration 71: (EM) log likelihood = -28413.196
Iteration 72: (EM) log likelihood = -28391.406
Iteration 73: (EM) log likelihood = -28370.018
Iteration 74: (EM) log likelihood = -28350.874
Iteration 75: (EM) log likelihood = -28333.533
Iteration 76: (EM) log likelihood = -28319.815
Iteration 77: (EM) log likelihood = -28306.608
Iteration 78: (EM) log likelihood = -28293.506
Iteration 79: (EM) log likelihood = -28283.616
Iteration 80: (EM) log likelihood = -28273.38
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6784.0284
Iteration 1: (class) log likelihood = -6784.0284
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29501.907
Iteration 1: (outcome) log likelihood = -29182.64
Iteration 2: (outcome) log likelihood = -29118.746
Iteration 3: (outcome) log likelihood = -29105.027
Iteration 4: (outcome) log likelihood = -29101.804
Iteration 5: (outcome) log likelihood = -29101.058
Iteration 6: (outcome) log likelihood = -29100.886
Iteration 7: (outcome) log likelihood = -29100.85
Iteration 8: (outcome) log likelihood = -29100.844
Iteration 9: (outcome) log likelihood = -29100.843
Iteration 10: (outcome) log likelihood = -29100.843
Iteration 11: (outcome) log likelihood = -29100.843
Refining starting values:
Iteration 0: (EM) log likelihood = -35855.374
Iteration 1: (EM) log likelihood = -35752.497
Iteration 2: (EM) log likelihood = -35453.488
Iteration 3: (EM) log likelihood = -34783.609
Iteration 4: (EM) log likelihood = -33807.574
Iteration 5: (EM) log likelihood = -32808.9
Iteration 6: (EM) log likelihood = -31968.825
Iteration 7: (EM) log likelihood = -31356.013
Iteration 8: (EM) log likelihood = -30967.058
Iteration 9: (EM) log likelihood = -30719.332
Iteration 10: (EM) log likelihood = -30549.125
Iteration 11: (EM) log likelihood = -30424.73
Iteration 12: (EM) log likelihood = -30322.642
Iteration 13: (EM) log likelihood = -30224.994
Iteration 14: (EM) log likelihood = -30127.19
Iteration 15: (EM) log likelihood = -30031.212
Iteration 16: (EM) log likelihood = -29939.645
Iteration 17: (EM) log likelihood = -29853.646
Iteration 18: (EM) log likelihood = -29773.398
Iteration 19: (EM) log likelihood = -29699.029
Iteration 20: (EM) log likelihood = -29629.075
Iteration 21: (EM) log likelihood = -29563.461
Iteration 22: (EM) log likelihood = -29501.157
Iteration 23: (EM) log likelihood = -29443.107
Iteration 24: (EM) log likelihood = -29386.83
Iteration 25: (EM) log likelihood = -29336.209
Iteration 26: (EM) log likelihood = -29289.049
Iteration 27: (EM) log likelihood = -29244.65
Iteration 28: (EM) log likelihood = -29203.355
Iteration 29: (EM) log likelihood = -29165.509
Iteration 30: (EM) log likelihood = -29130.071
Iteration 31: (EM) log likelihood = -29094.726
Iteration 32: (EM) log likelihood = -29060.411
Iteration 33: (EM) log likelihood = -29026.33
Iteration 34: (EM) log likelihood = -28992.378
Iteration 35: (EM) log likelihood = -28959.347
Iteration 36: (EM) log likelihood = -28926.233
Iteration 37: (EM) log likelihood = -28895.153
Iteration 38: (EM) log likelihood = -28865.095
Iteration 39: (EM) log likelihood = -28836.585
Iteration 40: (EM) log likelihood = -28811.306
Iteration 41: (EM) log likelihood = -28787.607
Iteration 42: (EM) log likelihood = -28766.228
Iteration 43: (EM) log likelihood = -28746.092
Iteration 44: (EM) log likelihood = -28727.867
Iteration 45: (EM) log likelihood = -28710.586
Iteration 46: (EM) log likelihood = -28694.45
Iteration 47: (EM) log likelihood = -28679.083
Iteration 48: (EM) log likelihood = -28664.337
Iteration 49: (EM) log likelihood = -28650.34
Iteration 50: (EM) log likelihood = -28636.801
Iteration 51: (EM) log likelihood = -28624.054
Iteration 52: (EM) log likelihood = -28611.977
Iteration 53: (EM) log likelihood = -28599.76
Iteration 54: (EM) log likelihood = -28588.51
Iteration 55: (EM) log likelihood = -28578.424
Iteration 56: (EM) log likelihood = -28568.864
Iteration 57: (EM) log likelihood = -28560.174
Iteration 58: (EM) log likelihood = -28551.894
Iteration 59: (EM) log likelihood = -28545.284
Iteration 60: (EM) log likelihood = -28539.233
Iteration 61: (EM) log likelihood = -28533.957
Iteration 62: (EM) log likelihood = -28529.372
Iteration 63: (EM) log likelihood = -28525.145
Iteration 64: (EM) log likelihood = -28521.349
Iteration 65: (EM) log likelihood = -28517.983
Iteration 66: (EM) log likelihood = -28514.878
Iteration 67: (EM) log likelihood = -28512.184
Iteration 68: (EM) log likelihood = -28509.663
Iteration 69: (EM) log likelihood = -28507.378
Iteration 70: (EM) log likelihood = -28505.1
Iteration 71: (EM) log likelihood = -28503.461
Iteration 72: (EM) log likelihood = -28501.623
Iteration 73: (EM) log likelihood = -28499.409
Iteration 74: (EM) log likelihood = -28498.093
Iteration 75: (EM) log likelihood = -28496.707
Iteration 76: (EM) log likelihood = -28495.43
Iteration 77: (EM) log likelihood = -28494.216
Iteration 78: (EM) log likelihood = -28493.027
Iteration 79: (EM) log likelihood = -28491.311
Iteration 80: (EM) log likelihood = -28490.274
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6786.2865
Iteration 1: (class) log likelihood = -6786.2865
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29856.701
Iteration 1: (outcome) log likelihood = -29263.206
Iteration 2: (outcome) log likelihood = -29139.841
Iteration 3: (outcome) log likelihood = -29116.832
Iteration 4: (outcome) log likelihood = -29111.373
Iteration 5: (outcome) log likelihood = -29110.164
Iteration 6: (outcome) log likelihood = -29109.894
Iteration 7: (outcome) log likelihood = -29109.852
Iteration 8: (outcome) log likelihood = -29109.847
Iteration 9: (outcome) log likelihood = -29109.846
Iteration 10: (outcome) log likelihood = -29109.845
Iteration 11: (outcome) log likelihood = -29109.845
Iteration 12: (outcome) log likelihood = -29109.845
Refining starting values:
Iteration 0: (EM) log likelihood = -35871.815
Iteration 1: (EM) log likelihood = -35765.328
Iteration 2: (EM) log likelihood = -35372.531
Iteration 3: (EM) log likelihood = -34393.423
Iteration 4: (EM) log likelihood = -33274.748
Iteration 5: (EM) log likelihood = -32534.264
Iteration 6: (EM) log likelihood = -32024.058
Iteration 7: (EM) log likelihood = -31606.04
Iteration 8: (EM) log likelihood = -31243.812
Iteration 9: (EM) log likelihood = -30951.947
Iteration 10: (EM) log likelihood = -30728.159
Iteration 11: (EM) log likelihood = -30555.741
Iteration 12: (EM) log likelihood = -30419.045
Iteration 13: (EM) log likelihood = -30302.981
Iteration 14: (EM) log likelihood = -30204.725
Iteration 15: (EM) log likelihood = -30122.148
Iteration 16: (EM) log likelihood = -30055.366
Iteration 17: (EM) log likelihood = -30002.897
Iteration 18: (EM) log likelihood = -29955.769
Iteration 19: (EM) log likelihood = -29915.977
Iteration 20: (EM) log likelihood = -29876.692
Iteration 21: (EM) log likelihood = -29832.05
Iteration 22: (EM) log likelihood = -29781.028
Iteration 23: (EM) log likelihood = -29722.36
Iteration 24: (EM) log likelihood = -29658.325
Iteration 25: (EM) log likelihood = -29593.841
Iteration 26: (EM) log likelihood = -29533.38
Iteration 27: (EM) log likelihood = -29480.138
Iteration 28: (EM) log likelihood = -29432.804
Iteration 29: (EM) log likelihood = -29394.03
Iteration 30: (EM) log likelihood = -29361.863
Iteration 31: (EM) log likelihood = -29335.372
Iteration 32: (EM) log likelihood = -29314.097
Iteration 33: (EM) log likelihood = -29296.603
Iteration 34: (EM) log likelihood = -29280.445
Iteration 35: (EM) log likelihood = -29267.082
Iteration 36: (EM) log likelihood = -29255.521
Iteration 37: (EM) log likelihood = -29244.425
Iteration 38: (EM) log likelihood = -29233.66
Iteration 39: (EM) log likelihood = -29224.085
Iteration 40: (EM) log likelihood = -29214.757
Iteration 41: (EM) log likelihood = -29206.45
Iteration 42: (EM) log likelihood = -29198.327
Iteration 43: (EM) log likelihood = -29189.54
Iteration 44: (EM) log likelihood = -29181.154
Iteration 45: (EM) log likelihood = -29173.311
Iteration 46: (EM) log likelihood = -29166.285
Iteration 47: (EM) log likelihood = -29159.165
Iteration 48: (EM) log likelihood = -29152.388
Iteration 49: (EM) log likelihood = -29144.797
Iteration 50: (EM) log likelihood = -29137.761
Iteration 51: (EM) log likelihood = -29132.965
Iteration 52: (EM) log likelihood = -29126.498
Iteration 53: (EM) log likelihood = -29119.63
Iteration 54: (EM) log likelihood = -29113.727
Iteration 55: (EM) log likelihood = -29107.873
Iteration 56: (EM) log likelihood = -29103.186
Iteration 57: (EM) log likelihood = -29097.735
Iteration 58: (EM) log likelihood = -29092.015
Iteration 59: (EM) log likelihood = -29086.615
Iteration 60: (EM) log likelihood = -29083.226
Iteration 61: (EM) log likelihood = -29075.393
Iteration 62: (EM) log likelihood = -29070.504
Iteration 63: (EM) log likelihood = -29064.84
Iteration 64: (EM) log likelihood = -29058.137
Iteration 65: (EM) log likelihood = -29053.865
Iteration 66: (EM) log likelihood = -29050.433
Iteration 67: (EM) log likelihood = -29045.883
Iteration 68: (EM) log likelihood = -29040.752
Iteration 69: (EM) log likelihood = -29037.359
Iteration 70: (EM) log likelihood = -29033.955
Iteration 71: (EM) log likelihood = -29029.517
Iteration 72: (EM) log likelihood = -29025.735
Iteration 73: (EM) log likelihood = -29022.091
Iteration 74: (EM) log likelihood = -29017.848
Iteration 75: (EM) log likelihood = -29014.581
Iteration 76: (EM) log likelihood = -29011.724
Iteration 77: (EM) log likelihood = -29008.425
Iteration 78: (EM) log likelihood = -29005.442
Iteration 79: (EM) log likelihood = -29002.516
Iteration 80: (EM) log likelihood = -29000.094
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6785.5315
Iteration 1: (class) log likelihood = -6785.5315
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29976.205
Iteration 1: (outcome) log likelihood = -29238.535
Iteration 2: (outcome) log likelihood = -29116.643
Iteration 3: (outcome) log likelihood = -29089.993
Iteration 4: (outcome) log likelihood = -29083.794
Iteration 5: (outcome) log likelihood = -29082.556
Iteration 6: (outcome) log likelihood = -29082.344
Iteration 7: (outcome) log likelihood = -29082.295
Iteration 8: (outcome) log likelihood = -29082.283
Iteration 9: (outcome) log likelihood = -29082.28
Iteration 10: (outcome) log likelihood = -29082.28
Iteration 11: (outcome) log likelihood = -29082.28
Iteration 12: (outcome) log likelihood = -29082.28
Refining starting values:
Iteration 0: (EM) log likelihood = -35795.154
Iteration 1: (EM) log likelihood = -35491.377
Iteration 2: (EM) log likelihood = -34651.24
Iteration 3: (EM) log likelihood = -33548.687
Iteration 4: (EM) log likelihood = -32798.701
Iteration 5: (EM) log likelihood = -32329.041
Iteration 6: (EM) log likelihood = -31953.032
Iteration 7: (EM) log likelihood = -31592.381
Iteration 8: (EM) log likelihood = -31249.909
Iteration 9: (EM) log likelihood = -30951.909
Iteration 10: (EM) log likelihood = -30697.71
Iteration 11: (EM) log likelihood = -30480.374
Iteration 12: (EM) log likelihood = -30294.954
Iteration 13: (EM) log likelihood = -30140.794
Iteration 14: (EM) log likelihood = -30009.393
Iteration 15: (EM) log likelihood = -29896.438
Iteration 16: (EM) log likelihood = -29800.312
Iteration 17: (EM) log likelihood = -29718.263
Iteration 18: (EM) log likelihood = -29648.382
Iteration 19: (EM) log likelihood = -29589.794
Iteration 20: (EM) log likelihood = -29540.59
Iteration 21: (EM) log likelihood = -29498.42
Iteration 22: (EM) log likelihood = -29462.373
Iteration 23: (EM) log likelihood = -29430.394
Iteration 24: (EM) log likelihood = -29401.477
Iteration 25: (EM) log likelihood = -29374.16
Iteration 26: (EM) log likelihood = -29349.083
Iteration 27: (EM) log likelihood = -29324.829
Iteration 28: (EM) log likelihood = -29300.952
Iteration 29: (EM) log likelihood = -29276.319
Iteration 30: (EM) log likelihood = -29251.27
Iteration 31: (EM) log likelihood = -29227.025
Iteration 32: (EM) log likelihood = -29200.003
Iteration 33: (EM) log likelihood = -29170.557
Iteration 34: (EM) log likelihood = -29140.914
Iteration 35: (EM) log likelihood = -29110.332
Iteration 36: (EM) log likelihood = -29073.895
Iteration 37: (EM) log likelihood = -29036.491
Iteration 38: (EM) log likelihood = -28996.181
Iteration 39: (EM) log likelihood = -28952.57
Iteration 40: (EM) log likelihood = -28902.417
Iteration 41: (EM) log likelihood = -28852.642
Iteration 42: (EM) log likelihood = -28799.936
Iteration 43: (EM) log likelihood = -28746.056
Iteration 44: (EM) log likelihood = -28693.067
Iteration 45: (EM) log likelihood = -28641.493
Iteration 46: (EM) log likelihood = -28593.428
Iteration 47: (EM) log likelihood = -28548.702
Iteration 48: (EM) log likelihood = -28508.375
Iteration 49: (EM) log likelihood = -28472.256
Iteration 50: (EM) log likelihood = -28438.862
Iteration 51: (EM) log likelihood = -28411.498
Iteration 52: (EM) log likelihood = -28385.58
Iteration 53: (EM) log likelihood = -28363.458
Iteration 54: (EM) log likelihood = -28345.393
Iteration 55: (EM) log likelihood = -28328.118
Iteration 56: (EM) log likelihood = -28314.216
Iteration 57: (EM) log likelihood = -28302.449
Iteration 58: (EM) log likelihood = -28291.115
Iteration 59: (EM) log likelihood = -28281.049
Iteration 60: (EM) log likelihood = -28272.33
Iteration 61: (EM) log likelihood = -28265.913
Iteration 62: (EM) log likelihood = -28258.617
Iteration 63: (EM) log likelihood = -28252.565
Iteration 64: (EM) log likelihood = -28247.977
Iteration 65: (EM) log likelihood = -28243.307
Iteration 66: (EM) log likelihood = -28240.063
Iteration 67: (EM) log likelihood = -28237.474
Iteration 68: (EM) log likelihood = -28234.389
Iteration 69: (EM) log likelihood = -28230.789
Iteration 70: (EM) log likelihood = -28228.605
Iteration 71: (EM) log likelihood = -28225.704
Iteration 72: (EM) log likelihood = -28221.652
Iteration 73: (EM) log likelihood = -28220.365
Iteration 74: (EM) log likelihood = -28218.917
Iteration 75: (EM) log likelihood = -28219.032
Iteration 76: (EM) log likelihood = -28217.95
Iteration 77: (EM) log likelihood = -28217.668
Iteration 78: (EM) log likelihood = -28218.235
Iteration 79: (EM) log likelihood = -28216.514
Iteration 80: (EM) log likelihood = -28214.542
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.4594
Iteration 1: (class) log likelihood = -6787.4594
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29291.266
Iteration 1: (outcome) log likelihood = -29162.135
Iteration 2: (outcome) log likelihood = -29123.56
Iteration 3: (outcome) log likelihood = -29116.039
Iteration 4: (outcome) log likelihood = -29114.688
Iteration 5: (outcome) log likelihood = -29114.392
Iteration 6: (outcome) log likelihood = -29114.319
Iteration 7: (outcome) log likelihood = -29114.304
Iteration 8: (outcome) log likelihood = -29114.301
Iteration 9: (outcome) log likelihood = -29114.3
Iteration 10: (outcome) log likelihood = -29114.3
Iteration 11: (outcome) log likelihood = -29114.3
Refining starting values:
Iteration 0: (EM) log likelihood = -35879.086
Iteration 1: (EM) log likelihood = -35762.131
Iteration 2: (EM) log likelihood = -35279.66
Iteration 3: (EM) log likelihood = -34071.276
Iteration 4: (EM) log likelihood = -32930.234
Iteration 5: (EM) log likelihood = -32257.225
Iteration 6: (EM) log likelihood = -31773.77
Iteration 7: (EM) log likelihood = -31368.355
Iteration 8: (EM) log likelihood = -31029.501
Iteration 9: (EM) log likelihood = -30761.301
Iteration 10: (EM) log likelihood = -30553.659
Iteration 11: (EM) log likelihood = -30399.037
Iteration 12: (EM) log likelihood = -30281.52
Iteration 13: (EM) log likelihood = -30193.033
Iteration 14: (EM) log likelihood = -30120.834
Iteration 15: (EM) log likelihood = -30056.901
Iteration 16: (EM) log likelihood = -29997.334
Iteration 17: (EM) log likelihood = -29940.323
Iteration 18: (EM) log likelihood = -29885.732
Iteration 19: (EM) log likelihood = -29829.611
Iteration 20: (EM) log likelihood = -29774.143
Iteration 21: (EM) log likelihood = -29720.939
Iteration 22: (EM) log likelihood = -29671.595
Iteration 23: (EM) log likelihood = -29622.488
Iteration 24: (EM) log likelihood = -29577.252
Iteration 25: (EM) log likelihood = -29535.312
Iteration 26: (EM) log likelihood = -29495.626
Iteration 27: (EM) log likelihood = -29460
Iteration 28: (EM) log likelihood = -29426.303
Iteration 29: (EM) log likelihood = -29395.178
Iteration 30: (EM) log likelihood = -29367.689
Iteration 31: (EM) log likelihood = -29342.917
Iteration 32: (EM) log likelihood = -29320.339
Iteration 33: (EM) log likelihood = -29300.389
Iteration 34: (EM) log likelihood = -29283.207
Iteration 35: (EM) log likelihood = -29267.051
Iteration 36: (EM) log likelihood = -29252.797
Iteration 37: (EM) log likelihood = -29238.375
Iteration 38: (EM) log likelihood = -29225.103
Iteration 39: (EM) log likelihood = -29213.494
Iteration 40: (EM) log likelihood = -29201.366
Iteration 41: (EM) log likelihood = -29189.881
Iteration 42: (EM) log likelihood = -29179.196
Iteration 43: (EM) log likelihood = -29169.742
Iteration 44: (EM) log likelihood = -29159.943
Iteration 45: (EM) log likelihood = -29150.423
Iteration 46: (EM) log likelihood = -29140.787
Iteration 47: (EM) log likelihood = -29131.414
Iteration 48: (EM) log likelihood = -29120.462
Iteration 49: (EM) log likelihood = -29110.202
Iteration 50: (EM) log likelihood = -29101.26
Iteration 51: (EM) log likelihood = -29092.283
Iteration 52: (EM) log likelihood = -29083.288
Iteration 53: (EM) log likelihood = -29073.815
Iteration 54: (EM) log likelihood = -29063.575
Iteration 55: (EM) log likelihood = -29056.38
Iteration 56: (EM) log likelihood = -29046.029
Iteration 57: (EM) log likelihood = -29035.878
Iteration 58: (EM) log likelihood = -29025.907
Iteration 59: (EM) log likelihood = -29016.761
Iteration 60: (EM) log likelihood = -29007.068
Iteration 61: (EM) log likelihood = -28998.521
Iteration 62: (EM) log likelihood = -28988.779
Iteration 63: (EM) log likelihood = -28979.774
Iteration 64: (EM) log likelihood = -28964.352
Iteration 65: (EM) log likelihood = -28955.701
Iteration 66: (EM) log likelihood = -28946.749
Iteration 67: (EM) log likelihood = -28937.455
Iteration 68: (EM) log likelihood = -28927.751
Iteration 69: (EM) log likelihood = -28918.564
Iteration 70: (EM) log likelihood = -28907.493
Iteration 71: (EM) log likelihood = -28895.811
Iteration 72: (EM) log likelihood = -28887.776
Iteration 73: (EM) log likelihood = -28878.589
Iteration 74: (EM) log likelihood = -28869.218
Iteration 75: (EM) log likelihood = -28860.168
Iteration 76: (EM) log likelihood = -28852.052
Iteration 77: (EM) log likelihood = -28842.939
Iteration 78: (EM) log likelihood = -28834.734
Iteration 79: (EM) log likelihood = -28825.181
Iteration 80: (EM) log likelihood = -28816.418
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6783.7688
Iteration 1: (class) log likelihood = -6783.7688
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29293.913
Iteration 1: (outcome) log likelihood = -29159.33
Iteration 2: (outcome) log likelihood = -29116.95
Iteration 3: (outcome) log likelihood = -29110.019
Iteration 4: (outcome) log likelihood = -29108.521
Iteration 5: (outcome) log likelihood = -29108.213
Iteration 6: (outcome) log likelihood = -29108.145
Iteration 7: (outcome) log likelihood = -29108.128
Iteration 8: (outcome) log likelihood = -29108.124
Iteration 9: (outcome) log likelihood = -29108.124
Iteration 10: (outcome) log likelihood = -29108.124
Iteration 11: (outcome) log likelihood = -29108.123
Iteration 12: (outcome) log likelihood = -29108.123
Refining starting values:
Iteration 0: (EM) log likelihood = -35857.134
Iteration 1: (EM) log likelihood = -35716.447
Iteration 2: (EM) log likelihood = -35255.687
Iteration 3: (EM) log likelihood = -34301.367
Iteration 4: (EM) log likelihood = -33272.767
Iteration 5: (EM) log likelihood = -32521.873
Iteration 6: (EM) log likelihood = -31985.219
Iteration 7: (EM) log likelihood = -31578.642
Iteration 8: (EM) log likelihood = -31247.466
Iteration 9: (EM) log likelihood = -30962.722
Iteration 10: (EM) log likelihood = -30694.647
Iteration 11: (EM) log likelihood = -30434.808
Iteration 12: (EM) log likelihood = -30205.012
Iteration 13: (EM) log likelihood = -30023.904
Iteration 14: (EM) log likelihood = -29885.569
Iteration 15: (EM) log likelihood = -29778.179
Iteration 16: (EM) log likelihood = -29691.343
Iteration 17: (EM) log likelihood = -29618.517
Iteration 18: (EM) log likelihood = -29555.552
Iteration 19: (EM) log likelihood = -29500.234
Iteration 20: (EM) log likelihood = -29449.198
Iteration 21: (EM) log likelihood = -29404.691
Iteration 22: (EM) log likelihood = -29365.115
Iteration 23: (EM) log likelihood = -29327.622
Iteration 24: (EM) log likelihood = -29293.713
Iteration 25: (EM) log likelihood = -29261.22
Iteration 26: (EM) log likelihood = -29229.393
Iteration 27: (EM) log likelihood = -29198.825
Iteration 28: (EM) log likelihood = -29169.064
Iteration 29: (EM) log likelihood = -29139.197
Iteration 30: (EM) log likelihood = -29109.682
Iteration 31: (EM) log likelihood = -29080.994
Iteration 32: (EM) log likelihood = -29052.626
Iteration 33: (EM) log likelihood = -29023.777
Iteration 34: (EM) log likelihood = -28996.484
Iteration 35: (EM) log likelihood = -28969.985
Iteration 36: (EM) log likelihood = -28943.982
Iteration 37: (EM) log likelihood = -28919.762
Iteration 38: (EM) log likelihood = -28894.699
Iteration 39: (EM) log likelihood = -28871.03
Iteration 40: (EM) log likelihood = -28847.158
Iteration 41: (EM) log likelihood = -28822.755
Iteration 42: (EM) log likelihood = -28799.636
Iteration 43: (EM) log likelihood = -28774.736
Iteration 44: (EM) log likelihood = -28752.753
Iteration 45: (EM) log likelihood = -28729.065
Iteration 46: (EM) log likelihood = -28707.451
Iteration 47: (EM) log likelihood = -28687.109
Iteration 48: (EM) log likelihood = -28666.862
Iteration 49: (EM) log likelihood = -28648.036
Iteration 50: (EM) log likelihood = -28628.299
Iteration 51: (EM) log likelihood = -28610.11
Iteration 52: (EM) log likelihood = -28593.58
Iteration 53: (EM) log likelihood = -28576.52
Iteration 54: (EM) log likelihood = -28559.906
Iteration 55: (EM) log likelihood = -28543.604
Iteration 56: (EM) log likelihood = -28528.557
Iteration 57: (EM) log likelihood = -28514.065
Iteration 58: (EM) log likelihood = -28498.545
Iteration 59: (EM) log likelihood = -28484.932
Iteration 60: (EM) log likelihood = -28471.219
Iteration 61: (EM) log likelihood = -28457.153
Iteration 62: (EM) log likelihood = -28443.594
Iteration 63: (EM) log likelihood = -28432.402
Iteration 64: (EM) log likelihood = -28420.333
Iteration 65: (EM) log likelihood = -28410.36
Iteration 66: (EM) log likelihood = -28403.305
Iteration 67: (EM) log likelihood = -28393.218
Iteration 68: (EM) log likelihood = -28385.578
Iteration 69: (EM) log likelihood = -28376.586
Iteration 70: (EM) log likelihood = -28368.37
Iteration 71: (EM) log likelihood = -28359.73
Iteration 72: (EM) log likelihood = -28353.515
Iteration 73: (EM) log likelihood = -28347.086
Iteration 74: (EM) log likelihood = -28337.985
Iteration 75: (EM) log likelihood = -28330.545
Iteration 76: (EM) log likelihood = -28326.183
Iteration 77: (EM) log likelihood = -28320.148
Iteration 78: (EM) log likelihood = -28315.463
Iteration 79: (EM) log likelihood = -28311.966
Iteration 80: (EM) log likelihood = -28308.409
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6784.1715
Iteration 1: (class) log likelihood = -6784.1715
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29460.31
Iteration 1: (outcome) log likelihood = -29178.954
Iteration 2: (outcome) log likelihood = -29128.805
Iteration 3: (outcome) log likelihood = -29121.484
Iteration 4: (outcome) log likelihood = -29119.735
Iteration 5: (outcome) log likelihood = -29119.36
Iteration 6: (outcome) log likelihood = -29119.282
Iteration 7: (outcome) log likelihood = -29119.264
Iteration 8: (outcome) log likelihood = -29119.26
Iteration 9: (outcome) log likelihood = -29119.259
Iteration 10: (outcome) log likelihood = -29119.259
Iteration 11: (outcome) log likelihood = -29119.259
Iteration 12: (outcome) log likelihood = -29119.259
Refining starting values:
Iteration 0: (EM) log likelihood = -35881.012
Iteration 1: (EM) log likelihood = -35796.529
Iteration 2: (EM) log likelihood = -35530.012
Iteration 3: (EM) log likelihood = -34869.031
Iteration 4: (EM) log likelihood = -33821.152
Iteration 5: (EM) log likelihood = -32803.305
Iteration 6: (EM) log likelihood = -32016.121
Iteration 7: (EM) log likelihood = -31462.83
Iteration 8: (EM) log likelihood = -31103.257
Iteration 9: (EM) log likelihood = -30877.111
Iteration 10: (EM) log likelihood = -30733.411
Iteration 11: (EM) log likelihood = -30636.023
Iteration 12: (EM) log likelihood = -30562.439
Iteration 13: (EM) log likelihood = -30499.721
Iteration 14: (EM) log likelihood = -30439.497
Iteration 15: (EM) log likelihood = -30377.583
Iteration 16: (EM) log likelihood = -30308.636
Iteration 17: (EM) log likelihood = -30232.361
Iteration 18: (EM) log likelihood = -30149.098
Iteration 19: (EM) log likelihood = -30060.784
Iteration 20: (EM) log likelihood = -29970.902
Iteration 21: (EM) log likelihood = -29882.481
Iteration 22: (EM) log likelihood = -29798.545
Iteration 23: (EM) log likelihood = -29718.634
Iteration 24: (EM) log likelihood = -29645.358
Iteration 25: (EM) log likelihood = -29577.239
Iteration 26: (EM) log likelihood = -29512.533
Iteration 27: (EM) log likelihood = -29451.623
Iteration 28: (EM) log likelihood = -29395.522
Iteration 29: (EM) log likelihood = -29342.656
Iteration 30: (EM) log likelihood = -29293.201
Iteration 31: (EM) log likelihood = -29246.729
Iteration 32: (EM) log likelihood = -29203.029
Iteration 33: (EM) log likelihood = -29162.249
Iteration 34: (EM) log likelihood = -29124.551
Iteration 35: (EM) log likelihood = -29088.991
Iteration 36: (EM) log likelihood = -29055.605
Iteration 37: (EM) log likelihood = -29024.804
Iteration 38: (EM) log likelihood = -28996.895
Iteration 39: (EM) log likelihood = -28971.733
Iteration 40: (EM) log likelihood = -28949.261
Iteration 41: (EM) log likelihood = -28929.851
Iteration 42: (EM) log likelihood = -28912.843
Iteration 43: (EM) log likelihood = -28897.849
Iteration 44: (EM) log likelihood = -28884.797
Iteration 45: (EM) log likelihood = -28874.415
Iteration 46: (EM) log likelihood = -28865.117
Iteration 47: (EM) log likelihood = -28857.801
Iteration 48: (EM) log likelihood = -28851.553
Iteration 49: (EM) log likelihood = -28846.57
Iteration 50: (EM) log likelihood = -28842.828
Iteration 51: (EM) log likelihood = -28839.795
Iteration 52: (EM) log likelihood = -28838.871
Iteration 53: (EM) log likelihood = -28837.777
Iteration 54: (EM) log likelihood = -28837.591
Iteration 55: (EM) log likelihood = -28838.14
Iteration 56: (EM) log likelihood = -28839.366
Iteration 57: (EM) log likelihood = -28841.419
Iteration 58: (EM) log likelihood = -28843.811
Iteration 59: (EM) log likelihood = -28846.461
Iteration 60: (EM) log likelihood = -28849.785
Iteration 61: (EM) log likelihood = -28853.499
Iteration 62: (EM) log likelihood = -28857.507
Iteration 63: (EM) log likelihood = -28861.763
Iteration 64: (EM) log likelihood = -28865.9
Iteration 65: (EM) log likelihood = -28869.91
Iteration 66: (EM) log likelihood = -28873.882
Iteration 67: (EM) log likelihood = -28877.452
Iteration 68: (EM) log likelihood = -28880.101
Iteration 69: (EM) log likelihood = -28882.214
Iteration 70: (EM) log likelihood = -28883.818
Iteration 71: (EM) log likelihood = -28884.315
Iteration 72: (EM) log likelihood = -28884.312
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6785.5588
Iteration 1: (class) log likelihood = -6785.5588
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29680.217
Iteration 1: (outcome) log likelihood = -29219.604
Iteration 2: (outcome) log likelihood = -29116.835
Iteration 3: (outcome) log likelihood = -29100.846
Iteration 4: (outcome) log likelihood = -29097.901
Iteration 5: (outcome) log likelihood = -29097.24
Iteration 6: (outcome) log likelihood = -29097.087
Iteration 7: (outcome) log likelihood = -29097.052
Iteration 8: (outcome) log likelihood = -29097.044
Iteration 9: (outcome) log likelihood = -29097.043
Iteration 10: (outcome) log likelihood = -29097.043
Iteration 11: (outcome) log likelihood = -29097.043
Refining starting values:
Iteration 0: (EM) log likelihood = -35828.947
Iteration 1: (EM) log likelihood = -35576.044
Iteration 2: (EM) log likelihood = -34760.89
Iteration 3: (EM) log likelihood = -33619.324
Iteration 4: (EM) log likelihood = -32876.796
Iteration 5: (EM) log likelihood = -32457.19
Iteration 6: (EM) log likelihood = -32146.292
Iteration 7: (EM) log likelihood = -31843.93
Iteration 8: (EM) log likelihood = -31554.519
Iteration 9: (EM) log likelihood = -31297.113
Iteration 10: (EM) log likelihood = -31084.639
Iteration 11: (EM) log likelihood = -30909.743
Iteration 12: (EM) log likelihood = -30761.023
Iteration 13: (EM) log likelihood = -30633.787
Iteration 14: (EM) log likelihood = -30525.321
Iteration 15: (EM) log likelihood = -30424.63
Iteration 16: (EM) log likelihood = -30333.411
Iteration 17: (EM) log likelihood = -30247.17
Iteration 18: (EM) log likelihood = -30164.16
Iteration 19: (EM) log likelihood = -30086.106
Iteration 20: (EM) log likelihood = -30012.892
Iteration 21: (EM) log likelihood = -29944.262
Iteration 22: (EM) log likelihood = -29881.046
Iteration 23: (EM) log likelihood = -29822.887
Iteration 24: (EM) log likelihood = -29768.701
Iteration 25: (EM) log likelihood = -29717.707
Iteration 26: (EM) log likelihood = -29671.254
Iteration 27: (EM) log likelihood = -29627.904
Iteration 28: (EM) log likelihood = -29589.708
Iteration 29: (EM) log likelihood = -29555.416
Iteration 30: (EM) log likelihood = -29524.825
Iteration 31: (EM) log likelihood = -29498.01
Iteration 32: (EM) log likelihood = -29474.409
Iteration 33: (EM) log likelihood = -29453.349
Iteration 34: (EM) log likelihood = -29435.259
Iteration 35: (EM) log likelihood = -29419.637
Iteration 36: (EM) log likelihood = -29405.081
Iteration 37: (EM) log likelihood = -29392.981
Iteration 38: (EM) log likelihood = -29381.179
Iteration 39: (EM) log likelihood = -29370.428
Iteration 40: (EM) log likelihood = -29360.762
Iteration 41: (EM) log likelihood = -29352.843
Iteration 42: (EM) log likelihood = -29344.958
Iteration 43: (EM) log likelihood = -29336.572
Iteration 44: (EM) log likelihood = -29327.659
Iteration 45: (EM) log likelihood = -29318.667
Iteration 46: (EM) log likelihood = -29308.25
Iteration 47: (EM) log likelihood = -29295.495
Iteration 48: (EM) log likelihood = -29279.671
Iteration 49: (EM) log likelihood = -29259.809
Iteration 50: (EM) log likelihood = -29235.25
Iteration 51: (EM) log likelihood = -29204.676
Iteration 52: (EM) log likelihood = -29172.187
Iteration 53: (EM) log likelihood = -29137.732
Iteration 54: (EM) log likelihood = -29102.132
Iteration 55: (EM) log likelihood = -29066.859
Iteration 56: (EM) log likelihood = -29032.321
Iteration 57: (EM) log likelihood = -28999.34
Iteration 58: (EM) log likelihood = -28968.319
Iteration 59: (EM) log likelihood = -28939.784
Iteration 60: (EM) log likelihood = -28914.533
Iteration 61: (EM) log likelihood = -28890.985
Iteration 62: (EM) log likelihood = -28870.448
Iteration 63: (EM) log likelihood = -28850.379
Iteration 64: (EM) log likelihood = -28832.582
Iteration 65: (EM) log likelihood = -28815.014
Iteration 66: (EM) log likelihood = -28797.913
Iteration 67: (EM) log likelihood = -28783.007
Iteration 68: (EM) log likelihood = -28767.1
Iteration 69: (EM) log likelihood = -28752.45
Iteration 70: (EM) log likelihood = -28738.481
Iteration 71: (EM) log likelihood = -28724.104
Iteration 72: (EM) log likelihood = -28710.791
Iteration 73: (EM) log likelihood = -28696.192
Iteration 74: (EM) log likelihood = -28682.899
Iteration 75: (EM) log likelihood = -28670.534
Iteration 76: (EM) log likelihood = -28654.377
Iteration 77: (EM) log likelihood = -28634.396
Iteration 78: (EM) log likelihood = -28612.039
Iteration 79: (EM) log likelihood = -28588.921
Iteration 80: (EM) log likelihood = -28567.739
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6783.5435
Iteration 1: (class) log likelihood = -6783.5435
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30036.745
Iteration 1: (outcome) log likelihood = -29281.112
Iteration 2: (outcome) log likelihood = -29125.235
Iteration 3: (outcome) log likelihood = -29102.7
Iteration 4: (outcome) log likelihood = -29097.534
Iteration 5: (outcome) log likelihood = -29096.347
Iteration 6: (outcome) log likelihood = -29096.091
Iteration 7: (outcome) log likelihood = -29096.051
Iteration 8: (outcome) log likelihood = -29096.046
Iteration 9: (outcome) log likelihood = -29096.045
Iteration 10: (outcome) log likelihood = -29096.045
Iteration 11: (outcome) log likelihood = -29096.045
Iteration 12: (outcome) log likelihood = -29096.045
Refining starting values:
Iteration 0: (EM) log likelihood = -35826.939
Iteration 1: (EM) log likelihood = -35623.109
Iteration 2: (EM) log likelihood = -35040.482
Iteration 3: (EM) log likelihood = -34055.588
Iteration 4: (EM) log likelihood = -33065.249
Iteration 5: (EM) log likelihood = -32265.518
Iteration 6: (EM) log likelihood = -31647.286
Iteration 7: (EM) log likelihood = -31176.756
Iteration 8: (EM) log likelihood = -30807.606
Iteration 9: (EM) log likelihood = -30529.733
Iteration 10: (EM) log likelihood = -30335.932
Iteration 11: (EM) log likelihood = -30205.318
Iteration 12: (EM) log likelihood = -30114.082
Iteration 13: (EM) log likelihood = -30042.474
Iteration 14: (EM) log likelihood = -29981.34
Iteration 15: (EM) log likelihood = -29924.892
Iteration 16: (EM) log likelihood = -29870.9
Iteration 17: (EM) log likelihood = -29818.054
Iteration 18: (EM) log likelihood = -29765.715
Iteration 19: (EM) log likelihood = -29714.065
Iteration 20: (EM) log likelihood = -29661.245
Iteration 21: (EM) log likelihood = -29610.401
Iteration 22: (EM) log likelihood = -29561.456
Iteration 23: (EM) log likelihood = -29516.324
Iteration 24: (EM) log likelihood = -29471.566
Iteration 25: (EM) log likelihood = -29430.533
Iteration 26: (EM) log likelihood = -29395.193
Iteration 27: (EM) log likelihood = -29361.885
Iteration 28: (EM) log likelihood = -29329.015
Iteration 29: (EM) log likelihood = -29297.305
Iteration 30: (EM) log likelihood = -29265.176
Iteration 31: (EM) log likelihood = -29232.497
Iteration 32: (EM) log likelihood = -29200.344
Iteration 33: (EM) log likelihood = -29166.977
Iteration 34: (EM) log likelihood = -29134.345
Iteration 35: (EM) log likelihood = -29101.374
Iteration 36: (EM) log likelihood = -29067.346
Iteration 37: (EM) log likelihood = -29036.324
Iteration 38: (EM) log likelihood = -29005.4
Iteration 39: (EM) log likelihood = -28973.582
Iteration 40: (EM) log likelihood = -28942.451
Iteration 41: (EM) log likelihood = -28911.48
Iteration 42: (EM) log likelihood = -28881.8
Iteration 43: (EM) log likelihood = -28853.775
Iteration 44: (EM) log likelihood = -28826.767
Iteration 45: (EM) log likelihood = -28801.964
Iteration 46: (EM) log likelihood = -28780.13
Iteration 47: (EM) log likelihood = -28759.203
Iteration 48: (EM) log likelihood = -28740.49
Iteration 49: (EM) log likelihood = -28723.212
Iteration 50: (EM) log likelihood = -28705.888
Iteration 51: (EM) log likelihood = -28688.24
Iteration 52: (EM) log likelihood = -28670.528
Iteration 53: (EM) log likelihood = -28651.511
Iteration 54: (EM) log likelihood = -28633.08
Iteration 55: (EM) log likelihood = -28616.071
Iteration 56: (EM) log likelihood = -28600.655
Iteration 57: (EM) log likelihood = -28582.161
Iteration 58: (EM) log likelihood = -28570.453
Iteration 59: (EM) log likelihood = -28560.392
Iteration 60: (EM) log likelihood = -28550.421
Iteration 61: (EM) log likelihood = -28543.019
Iteration 62: (EM) log likelihood = -28536.441
Iteration 63: (EM) log likelihood = -28530.969
Iteration 64: (EM) log likelihood = -28523.765
Iteration 65: (EM) log likelihood = -28518.346
Iteration 66: (EM) log likelihood = -28512.729
Iteration 67: (EM) log likelihood = -28505.978
Iteration 68: (EM) log likelihood = -28500.756
Iteration 69: (EM) log likelihood = -28494.909
Iteration 70: (EM) log likelihood = -28490.664
Iteration 71: (EM) log likelihood = -28487.065
Iteration 72: (EM) log likelihood = -28481.887
Iteration 73: (EM) log likelihood = -28477.257
Iteration 74: (EM) log likelihood = -28473.472
Iteration 75: (EM) log likelihood = -28469.794
Iteration 76: (EM) log likelihood = -28466.356
Iteration 77: (EM) log likelihood = -28461.096
Iteration 78: (EM) log likelihood = -28457.566
Iteration 79: (EM) log likelihood = -28453.232
Iteration 80: (EM) log likelihood = -28448.987
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.6877
Iteration 1: (class) log likelihood = -6787.6877
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29460.419
Iteration 1: (outcome) log likelihood = -29167.407
Iteration 2: (outcome) log likelihood = -29115.246
Iteration 3: (outcome) log likelihood = -29107.118
Iteration 4: (outcome) log likelihood = -29105.257
Iteration 5: (outcome) log likelihood = -29104.829
Iteration 6: (outcome) log likelihood = -29104.737
Iteration 7: (outcome) log likelihood = -29104.723
Iteration 8: (outcome) log likelihood = -29104.721
Iteration 9: (outcome) log likelihood = -29104.721
Iteration 10: (outcome) log likelihood = -29104.72
Iteration 11: (outcome) log likelihood = -29104.72
Refining starting values:
Iteration 0: (EM) log likelihood = -35855.062
Iteration 1: (EM) log likelihood = -35716.613
Iteration 2: (EM) log likelihood = -35297.241
Iteration 3: (EM) log likelihood = -34378.574
Iteration 4: (EM) log likelihood = -33198.292
Iteration 5: (EM) log likelihood = -32260.565
Iteration 6: (EM) log likelihood = -31661.371
Iteration 7: (EM) log likelihood = -31278.955
Iteration 8: (EM) log likelihood = -30994.846
Iteration 9: (EM) log likelihood = -30748.481
Iteration 10: (EM) log likelihood = -30519.654
Iteration 11: (EM) log likelihood = -30306.927
Iteration 12: (EM) log likelihood = -30112.212
Iteration 13: (EM) log likelihood = -29947.456
Iteration 14: (EM) log likelihood = -29816.427
Iteration 15: (EM) log likelihood = -29714.341
Iteration 16: (EM) log likelihood = -29635.738
Iteration 17: (EM) log likelihood = -29576.167
Iteration 18: (EM) log likelihood = -29528.598
Iteration 19: (EM) log likelihood = -29490.145
Iteration 20: (EM) log likelihood = -29460.724
Iteration 21: (EM) log likelihood = -29436.913
Iteration 22: (EM) log likelihood = -29417.354
Iteration 23: (EM) log likelihood = -29401.261
Iteration 24: (EM) log likelihood = -29387.715
Iteration 25: (EM) log likelihood = -29376.091
Iteration 26: (EM) log likelihood = -29366.299
Iteration 27: (EM) log likelihood = -29354.927
Iteration 28: (EM) log likelihood = -29341.944
Iteration 29: (EM) log likelihood = -29327.98
Iteration 30: (EM) log likelihood = -29313.363
Iteration 31: (EM) log likelihood = -29298.422
Iteration 32: (EM) log likelihood = -29282.867
Iteration 33: (EM) log likelihood = -29267.145
Iteration 34: (EM) log likelihood = -29250.081
Iteration 35: (EM) log likelihood = -29232.948
Iteration 36: (EM) log likelihood = -29214.351
Iteration 37: (EM) log likelihood = -29190.596
Iteration 38: (EM) log likelihood = -29165.284
Iteration 39: (EM) log likelihood = -29138.527
Iteration 40: (EM) log likelihood = -29110.084
Iteration 41: (EM) log likelihood = -29078.474
Iteration 42: (EM) log likelihood = -29043.415
Iteration 43: (EM) log likelihood = -29006.199
Iteration 44: (EM) log likelihood = -28965.355
Iteration 45: (EM) log likelihood = -28925.27
Iteration 46: (EM) log likelihood = -28883.685
Iteration 47: (EM) log likelihood = -28844.421
Iteration 48: (EM) log likelihood = -28803.942
Iteration 49: (EM) log likelihood = -28766.886
Iteration 50: (EM) log likelihood = -28733.836
Iteration 51: (EM) log likelihood = -28703.54
Iteration 52: (EM) log likelihood = -28676.333
Iteration 53: (EM) log likelihood = -28648.629
Iteration 54: (EM) log likelihood = -28625.351
Iteration 55: (EM) log likelihood = -28606.44
Iteration 56: (EM) log likelihood = -28587.363
Iteration 57: (EM) log likelihood = -28568.425
Iteration 58: (EM) log likelihood = -28553.684
Iteration 59: (EM) log likelihood = -28540.536
Iteration 60: (EM) log likelihood = -28528.422
Iteration 61: (EM) log likelihood = -28517.08
Iteration 62: (EM) log likelihood = -28506.659
Iteration 63: (EM) log likelihood = -28496.701
Iteration 64: (EM) log likelihood = -28487.629
Iteration 65: (EM) log likelihood = -28478.947
Iteration 66: (EM) log likelihood = -28470.791
Iteration 67: (EM) log likelihood = -28461.81
Iteration 68: (EM) log likelihood = -28453.091
Iteration 69: (EM) log likelihood = -28443.338
Iteration 70: (EM) log likelihood = -28435.365
Iteration 71: (EM) log likelihood = -28427.872
Iteration 72: (EM) log likelihood = -28419.292
Iteration 73: (EM) log likelihood = -28410.636
Iteration 74: (EM) log likelihood = -28401.755
Iteration 75: (EM) log likelihood = -28393.175
Iteration 76: (EM) log likelihood = -28384.793
Iteration 77: (EM) log likelihood = -28376.718
Iteration 78: (EM) log likelihood = -28368.101
Iteration 79: (EM) log likelihood = -28360.322
Iteration 80: (EM) log likelihood = -28351.355
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6785.8844
Iteration 1: (class) log likelihood = -6785.8844
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29742.783
Iteration 1: (outcome) log likelihood = -29221.567
Iteration 2: (outcome) log likelihood = -29134.793
Iteration 3: (outcome) log likelihood = -29115.681
Iteration 4: (outcome) log likelihood = -29111.711
Iteration 5: (outcome) log likelihood = -29110.817
Iteration 6: (outcome) log likelihood = -29110.672
Iteration 7: (outcome) log likelihood = -29110.637
Iteration 8: (outcome) log likelihood = -29110.629
Iteration 9: (outcome) log likelihood = -29110.627
Iteration 10: (outcome) log likelihood = -29110.627
Iteration 11: (outcome) log likelihood = -29110.627
Iteration 12: (outcome) log likelihood = -29110.627
Refining starting values:
Iteration 0: (EM) log likelihood = -35856.678
Iteration 1: (EM) log likelihood = -35664.563
Iteration 2: (EM) log likelihood = -35018.614
Iteration 3: (EM) log likelihood = -33913.927
Iteration 4: (EM) log likelihood = -33041.766
Iteration 5: (EM) log likelihood = -32538.66
Iteration 6: (EM) log likelihood = -32209.632
Iteration 7: (EM) log likelihood = -31926.295
Iteration 8: (EM) log likelihood = -31640.179
Iteration 9: (EM) log likelihood = -31345.263
Iteration 10: (EM) log likelihood = -31057.907
Iteration 11: (EM) log likelihood = -30799.374
Iteration 12: (EM) log likelihood = -30583.138
Iteration 13: (EM) log likelihood = -30408.868
Iteration 14: (EM) log likelihood = -30261.679
Iteration 15: (EM) log likelihood = -30133.225
Iteration 16: (EM) log likelihood = -30013.477
Iteration 17: (EM) log likelihood = -29905.356
Iteration 18: (EM) log likelihood = -29804.397
Iteration 19: (EM) log likelihood = -29706.806
Iteration 20: (EM) log likelihood = -29613.398
Iteration 21: (EM) log likelihood = -29528.58
Iteration 22: (EM) log likelihood = -29450.418
Iteration 23: (EM) log likelihood = -29379.883
Iteration 24: (EM) log likelihood = -29316.564
Iteration 25: (EM) log likelihood = -29259.716
Iteration 26: (EM) log likelihood = -29205.93
Iteration 27: (EM) log likelihood = -29152.432
Iteration 28: (EM) log likelihood = -29105.086
Iteration 29: (EM) log likelihood = -29059.503
Iteration 30: (EM) log likelihood = -29018.138
Iteration 31: (EM) log likelihood = -28979.802
Iteration 32: (EM) log likelihood = -28944.287
Iteration 33: (EM) log likelihood = -28911.346
Iteration 34: (EM) log likelihood = -28881.157
Iteration 35: (EM) log likelihood = -28855.522
Iteration 36: (EM) log likelihood = -28833.879
Iteration 37: (EM) log likelihood = -28816.85
Iteration 38: (EM) log likelihood = -28803.271
Iteration 39: (EM) log likelihood = -28792.714
Iteration 40: (EM) log likelihood = -28784.379
Iteration 41: (EM) log likelihood = -28777.216
Iteration 42: (EM) log likelihood = -28771.399
Iteration 43: (EM) log likelihood = -28765.948
Iteration 44: (EM) log likelihood = -28760.558
Iteration 45: (EM) log likelihood = -28755.477
Iteration 46: (EM) log likelihood = -28750.701
Iteration 47: (EM) log likelihood = -28745.661
Iteration 48: (EM) log likelihood = -28739.514
Iteration 49: (EM) log likelihood = -28732.476
Iteration 50: (EM) log likelihood = -28725.482
Iteration 51: (EM) log likelihood = -28717.435
Iteration 52: (EM) log likelihood = -28708.448
Iteration 53: (EM) log likelihood = -28698.472
Iteration 54: (EM) log likelihood = -28687.344
Iteration 55: (EM) log likelihood = -28675.67
Iteration 56: (EM) log likelihood = -28663.517
Iteration 57: (EM) log likelihood = -28650.038
Iteration 58: (EM) log likelihood = -28633.858
Iteration 59: (EM) log likelihood = -28616.952
Iteration 60: (EM) log likelihood = -28601.393
Iteration 61: (EM) log likelihood = -28586.86
Iteration 62: (EM) log likelihood = -28571.795
Iteration 63: (EM) log likelihood = -28556.595
Iteration 64: (EM) log likelihood = -28542.052
Iteration 65: (EM) log likelihood = -28528.082
Iteration 66: (EM) log likelihood = -28514.881
Iteration 67: (EM) log likelihood = -28501.352
Iteration 68: (EM) log likelihood = -28487.741
Iteration 69: (EM) log likelihood = -28475.259
Iteration 70: (EM) log likelihood = -28462.743
Iteration 71: (EM) log likelihood = -28451.429
Iteration 72: (EM) log likelihood = -28441.871
Iteration 73: (EM) log likelihood = -28431.573
Iteration 74: (EM) log likelihood = -28423.175
Iteration 75: (EM) log likelihood = -28414.438
Iteration 76: (EM) log likelihood = -28406.449
Iteration 77: (EM) log likelihood = -28399.238
Iteration 78: (EM) log likelihood = -28392.098
Iteration 79: (EM) log likelihood = -28384.418
Iteration 80: (EM) log likelihood = -28378.344
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.4157
Iteration 1: (class) log likelihood = -6787.4157
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29275.655
Iteration 1: (outcome) log likelihood = -29154.268
Iteration 2: (outcome) log likelihood = -29120.029
Iteration 3: (outcome) log likelihood = -29113.116
Iteration 4: (outcome) log likelihood = -29111.499
Iteration 5: (outcome) log likelihood = -29111.131
Iteration 6: (outcome) log likelihood = -29111.043
Iteration 7: (outcome) log likelihood = -29111.025
Iteration 8: (outcome) log likelihood = -29111.022
Iteration 9: (outcome) log likelihood = -29111.022
Iteration 10: (outcome) log likelihood = -29111.022
Iteration 11: (outcome) log likelihood = -29111.022
Refining starting values:
Iteration 0: (EM) log likelihood = -35877.087
Iteration 1: (EM) log likelihood = -35808.759
Iteration 2: (EM) log likelihood = -35591.237
Iteration 3: (EM) log likelihood = -34932.752
Iteration 4: (EM) log likelihood = -33742.456
Iteration 5: (EM) log likelihood = -32684.642
Iteration 6: (EM) log likelihood = -31979.826
Iteration 7: (EM) log likelihood = -31472.049
Iteration 8: (EM) log likelihood = -31086.731
Iteration 9: (EM) log likelihood = -30798.545
Iteration 10: (EM) log likelihood = -30593.374
Iteration 11: (EM) log likelihood = -30445.183
Iteration 12: (EM) log likelihood = -30326.739
Iteration 13: (EM) log likelihood = -30222.937
Iteration 14: (EM) log likelihood = -30122.415
Iteration 15: (EM) log likelihood = -30016.681
Iteration 16: (EM) log likelihood = -29912.579
Iteration 17: (EM) log likelihood = -29809.754
Iteration 18: (EM) log likelihood = -29710.698
Iteration 19: (EM) log likelihood = -29618.993
Iteration 20: (EM) log likelihood = -29536.047
Iteration 21: (EM) log likelihood = -29460.726
Iteration 22: (EM) log likelihood = -29395.775
Iteration 23: (EM) log likelihood = -29335.719
Iteration 24: (EM) log likelihood = -29280.221
Iteration 25: (EM) log likelihood = -29227.88
Iteration 26: (EM) log likelihood = -29175.634
Iteration 27: (EM) log likelihood = -29123.942
Iteration 28: (EM) log likelihood = -29073.504
Iteration 29: (EM) log likelihood = -29021.468
Iteration 30: (EM) log likelihood = -28971.677
Iteration 31: (EM) log likelihood = -28923.618
Iteration 32: (EM) log likelihood = -28877.268
Iteration 33: (EM) log likelihood = -28834.986
Iteration 34: (EM) log likelihood = -28795.275
Iteration 35: (EM) log likelihood = -28759.892
Iteration 36: (EM) log likelihood = -28727.058
Iteration 37: (EM) log likelihood = -28697.723
Iteration 38: (EM) log likelihood = -28668.719
Iteration 39: (EM) log likelihood = -28644.692
Iteration 40: (EM) log likelihood = -28619.127
Iteration 41: (EM) log likelihood = -28599.267
Iteration 42: (EM) log likelihood = -28580.844
Iteration 43: (EM) log likelihood = -28563.927
Iteration 44: (EM) log likelihood = -28547.959
Iteration 45: (EM) log likelihood = -28533.699
Iteration 46: (EM) log likelihood = -28520.391
Iteration 47: (EM) log likelihood = -28506.731
Iteration 48: (EM) log likelihood = -28494.534
Iteration 49: (EM) log likelihood = -28482.433
Iteration 50: (EM) log likelihood = -28472.641
Iteration 51: (EM) log likelihood = -28462.255
Iteration 52: (EM) log likelihood = -28451.753
Iteration 53: (EM) log likelihood = -28441.911
Iteration 54: (EM) log likelihood = -28433.383
Iteration 55: (EM) log likelihood = -28425.367
Iteration 56: (EM) log likelihood = -28418.386
Iteration 57: (EM) log likelihood = -28411.216
Iteration 58: (EM) log likelihood = -28402.86
Iteration 59: (EM) log likelihood = -28395.861
Iteration 60: (EM) log likelihood = -28390.104
Iteration 61: (EM) log likelihood = -28384.602
Iteration 62: (EM) log likelihood = -28378.683
Iteration 63: (EM) log likelihood = -28373.725
Iteration 64: (EM) log likelihood = -28368.445
Iteration 65: (EM) log likelihood = -28363.359
Iteration 66: (EM) log likelihood = -28359.143
Iteration 67: (EM) log likelihood = -28355.109
Iteration 68: (EM) log likelihood = -28351.027
Iteration 69: (EM) log likelihood = -28347.375
Iteration 70: (EM) log likelihood = -28343.898
Iteration 71: (EM) log likelihood = -28340.926
Iteration 72: (EM) log likelihood = -28337.538
Iteration 73: (EM) log likelihood = -28334.208
Iteration 74: (EM) log likelihood = -28331.697
Iteration 75: (EM) log likelihood = -28329.139
Iteration 76: (EM) log likelihood = -28325.436
Iteration 77: (EM) log likelihood = -28323.636
Iteration 78: (EM) log likelihood = -28321.914
Iteration 79: (EM) log likelihood = -28320.032
Iteration 80: (EM) log likelihood = -28318.055
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6785.9746
Iteration 1: (class) log likelihood = -6785.9746
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29532.191
Iteration 1: (outcome) log likelihood = -29237.086
Iteration 2: (outcome) log likelihood = -29141.252
Iteration 3: (outcome) log likelihood = -29127.256
Iteration 4: (outcome) log likelihood = -29123.843
Iteration 5: (outcome) log likelihood = -29123.114
Iteration 6: (outcome) log likelihood = -29122.961
Iteration 7: (outcome) log likelihood = -29122.927
Iteration 8: (outcome) log likelihood = -29122.918
Iteration 9: (outcome) log likelihood = -29122.917
Iteration 10: (outcome) log likelihood = -29122.916
Iteration 11: (outcome) log likelihood = -29122.916
Iteration 12: (outcome) log likelihood = -29122.916
Refining starting values:
Iteration 0: (EM) log likelihood = -35905.819
Iteration 1: (EM) log likelihood = -35871.243
Iteration 2: (EM) log likelihood = -35715.474
Iteration 3: (EM) log likelihood = -35114.822
Iteration 4: (EM) log likelihood = -33899.996
Iteration 5: (EM) log likelihood = -32909.291
Iteration 6: (EM) log likelihood = -32340.718
Iteration 7: (EM) log likelihood = -31948.362
Iteration 8: (EM) log likelihood = -31624.072
Iteration 9: (EM) log likelihood = -31330.711
Iteration 10: (EM) log likelihood = -31072.583
Iteration 11: (EM) log likelihood = -30851.841
Iteration 12: (EM) log likelihood = -30662.153
Iteration 13: (EM) log likelihood = -30500.232
Iteration 14: (EM) log likelihood = -30353.22
Iteration 15: (EM) log likelihood = -30215.9
Iteration 16: (EM) log likelihood = -30081.399
Iteration 17: (EM) log likelihood = -29949.051
Iteration 18: (EM) log likelihood = -29815.086
Iteration 19: (EM) log likelihood = -29687.217
Iteration 20: (EM) log likelihood = -29565.559
Iteration 21: (EM) log likelihood = -29454.608
Iteration 22: (EM) log likelihood = -29356.906
Iteration 23: (EM) log likelihood = -29268.774
Iteration 24: (EM) log likelihood = -29192.317
Iteration 25: (EM) log likelihood = -29122.514
Iteration 26: (EM) log likelihood = -29062.831
Iteration 27: (EM) log likelihood = -29010.857
Iteration 28: (EM) log likelihood = -28965.862
Iteration 29: (EM) log likelihood = -28925.287
Iteration 30: (EM) log likelihood = -28888.556
Iteration 31: (EM) log likelihood = -28854.171
Iteration 32: (EM) log likelihood = -28822.863
Iteration 33: (EM) log likelihood = -28792.731
Iteration 34: (EM) log likelihood = -28765.764
Iteration 35: (EM) log likelihood = -28744.666
Iteration 36: (EM) log likelihood = -28719.717
Iteration 37: (EM) log likelihood = -28696.138
Iteration 38: (EM) log likelihood = -28674.905
Iteration 39: (EM) log likelihood = -28654.812
Iteration 40: (EM) log likelihood = -28635.598
Iteration 41: (EM) log likelihood = -28615.886
Iteration 42: (EM) log likelihood = -28597.537
Iteration 43: (EM) log likelihood = -28579.879
Iteration 44: (EM) log likelihood = -28562.789
Iteration 45: (EM) log likelihood = -28546.704
Iteration 46: (EM) log likelihood = -28531.142
Iteration 47: (EM) log likelihood = -28515.42
Iteration 48: (EM) log likelihood = -28502.172
Iteration 49: (EM) log likelihood = -28488.22
Iteration 50: (EM) log likelihood = -28475.49
Iteration 51: (EM) log likelihood = -28461.218
Iteration 52: (EM) log likelihood = -28448.994
Iteration 53: (EM) log likelihood = -28437.155
Iteration 54: (EM) log likelihood = -28425.463
Iteration 55: (EM) log likelihood = -28415.862
Iteration 56: (EM) log likelihood = -28404.992
Iteration 57: (EM) log likelihood = -28396.448
Iteration 58: (EM) log likelihood = -28387.4
Iteration 59: (EM) log likelihood = -28378.31
Iteration 60: (EM) log likelihood = -28369.455
Iteration 61: (EM) log likelihood = -28362.097
Iteration 62: (EM) log likelihood = -28355.78
Iteration 63: (EM) log likelihood = -28349.874
Iteration 64: (EM) log likelihood = -28342.661
Iteration 65: (EM) log likelihood = -28335.235
Iteration 66: (EM) log likelihood = -28329.336
Iteration 67: (EM) log likelihood = -28321.56
Iteration 68: (EM) log likelihood = -28315.636
Iteration 69: (EM) log likelihood = -28308.226
Iteration 70: (EM) log likelihood = -28301.321
Iteration 71: (EM) log likelihood = -28294.962
Iteration 72: (EM) log likelihood = -28286.554
Iteration 73: (EM) log likelihood = -28280.095
Iteration 74: (EM) log likelihood = -28273.422
Iteration 75: (EM) log likelihood = -28268.539
Iteration 76: (EM) log likelihood = -28263.63
Iteration 77: (EM) log likelihood = -28259.3
Iteration 78: (EM) log likelihood = -28255.707
Iteration 79: (EM) log likelihood = -28251.377
Iteration 80: (EM) log likelihood = -28248.093
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6786.3397
Iteration 1: (class) log likelihood = -6786.3397
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29927.885
Iteration 1: (outcome) log likelihood = -29262.452
Iteration 2: (outcome) log likelihood = -29139.298
Iteration 3: (outcome) log likelihood = -29114.656
Iteration 4: (outcome) log likelihood = -29109.338
Iteration 5: (outcome) log likelihood = -29108.183
Iteration 6: (outcome) log likelihood = -29107.989
Iteration 7: (outcome) log likelihood = -29107.943
Iteration 8: (outcome) log likelihood = -29107.932
Iteration 9: (outcome) log likelihood = -29107.93
Iteration 10: (outcome) log likelihood = -29107.93
Iteration 11: (outcome) log likelihood = -29107.93
Iteration 12: (outcome) log likelihood = -29107.93
Refining starting values:
Iteration 0: (EM) log likelihood = -35865.287
Iteration 1: (EM) log likelihood = -35777.746
Iteration 2: (EM) log likelihood = -35533.748
Iteration 3: (EM) log likelihood = -34950.534
Iteration 4: (EM) log likelihood = -33918.341
Iteration 5: (EM) log likelihood = -32756.987
Iteration 6: (EM) log likelihood = -31835.354
Iteration 7: (EM) log likelihood = -31224.589
Iteration 8: (EM) log likelihood = -30847.382
Iteration 9: (EM) log likelihood = -30601.86
Iteration 10: (EM) log likelihood = -30428.528
Iteration 11: (EM) log likelihood = -30295.769
Iteration 12: (EM) log likelihood = -30187.462
Iteration 13: (EM) log likelihood = -30091.821
Iteration 14: (EM) log likelihood = -30005.321
Iteration 15: (EM) log likelihood = -29925.442
Iteration 16: (EM) log likelihood = -29852.164
Iteration 17: (EM) log likelihood = -29785.631
Iteration 18: (EM) log likelihood = -29724.783
Iteration 19: (EM) log likelihood = -29667.172
Iteration 20: (EM) log likelihood = -29611.803
Iteration 21: (EM) log likelihood = -29557.117
Iteration 22: (EM) log likelihood = -29503.539
Iteration 23: (EM) log likelihood = -29450.75
Iteration 24: (EM) log likelihood = -29398.904
Iteration 25: (EM) log likelihood = -29348.31
Iteration 26: (EM) log likelihood = -29299.437
Iteration 27: (EM) log likelihood = -29252.421
Iteration 28: (EM) log likelihood = -29208.698
Iteration 29: (EM) log likelihood = -29166.655
Iteration 30: (EM) log likelihood = -29127.688
Iteration 31: (EM) log likelihood = -29090.919
Iteration 32: (EM) log likelihood = -29056.085
Iteration 33: (EM) log likelihood = -29023.966
Iteration 34: (EM) log likelihood = -28994.726
Iteration 35: (EM) log likelihood = -28967.908
Iteration 36: (EM) log likelihood = -28943.596
Iteration 37: (EM) log likelihood = -28921.65
Iteration 38: (EM) log likelihood = -28901.157
Iteration 39: (EM) log likelihood = -28881.791
Iteration 40: (EM) log likelihood = -28863.336
Iteration 41: (EM) log likelihood = -28845.449
Iteration 42: (EM) log likelihood = -28828.767
Iteration 43: (EM) log likelihood = -28812.381
Iteration 44: (EM) log likelihood = -28796.288
Iteration 45: (EM) log likelihood = -28781.139
Iteration 46: (EM) log likelihood = -28766.877
Iteration 47: (EM) log likelihood = -28753.397
Iteration 48: (EM) log likelihood = -28741.391
Iteration 49: (EM) log likelihood = -28729.885
Iteration 50: (EM) log likelihood = -28717.801
Iteration 51: (EM) log likelihood = -28708.019
Iteration 52: (EM) log likelihood = -28699.454
Iteration 53: (EM) log likelihood = -28691.085
Iteration 54: (EM) log likelihood = -28683.492
Iteration 55: (EM) log likelihood = -28676.832
Iteration 56: (EM) log likelihood = -28669.67
Iteration 57: (EM) log likelihood = -28663.904
Iteration 58: (EM) log likelihood = -28658.539
Iteration 59: (EM) log likelihood = -28653.233
Iteration 60: (EM) log likelihood = -28648.076
Iteration 61: (EM) log likelihood = -28642.254
Iteration 62: (EM) log likelihood = -28638.336
Iteration 63: (EM) log likelihood = -28635.736
Iteration 64: (EM) log likelihood = -28632.217
Iteration 65: (EM) log likelihood = -28627.988
Iteration 66: (EM) log likelihood = -28625.125
Iteration 67: (EM) log likelihood = -28622.344
Iteration 68: (EM) log likelihood = -28618.336
Iteration 69: (EM) log likelihood = -28615.845
Iteration 70: (EM) log likelihood = -28613.193
Iteration 71: (EM) log likelihood = -28611.158
Iteration 72: (EM) log likelihood = -28609.258
Iteration 73: (EM) log likelihood = -28607.1
Iteration 74: (EM) log likelihood = -28605.032
Iteration 75: (EM) log likelihood = -28603.352
Iteration 76: (EM) log likelihood = -28600.305
Iteration 77: (EM) log likelihood = -28598.79
Iteration 78: (EM) log likelihood = -28596.507
Iteration 79: (EM) log likelihood = -28596.005
Iteration 80: (EM) log likelihood = -28594.071
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.9209
Iteration 1: (class) log likelihood = -6787.9209
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29116.947
Iteration 1: (outcome) log likelihood = -29116.947
Refining starting values:
Iteration 0: (EM) log likelihood = -35858.889
Iteration 1: (EM) log likelihood = -35676.185
Iteration 2: (EM) log likelihood = -35120.235
Iteration 3: (EM) log likelihood = -34091.656
Iteration 4: (EM) log likelihood = -33101.409
Iteration 5: (EM) log likelihood = -32450.921
Iteration 6: (EM) log likelihood = -32026.244
Iteration 7: (EM) log likelihood = -31713.684
Iteration 8: (EM) log likelihood = -31446.691
Iteration 9: (EM) log likelihood = -31199.787
Iteration 10: (EM) log likelihood = -30960.412
Iteration 11: (EM) log likelihood = -30725.582
Iteration 12: (EM) log likelihood = -30505.856
Iteration 13: (EM) log likelihood = -30316.347
Iteration 14: (EM) log likelihood = -30159.052
Iteration 15: (EM) log likelihood = -30030.421
Iteration 16: (EM) log likelihood = -29925.202
Iteration 17: (EM) log likelihood = -29836.488
Iteration 18: (EM) log likelihood = -29758.962
Iteration 19: (EM) log likelihood = -29690.651
Iteration 20: (EM) log likelihood = -29632.085
Iteration 21: (EM) log likelihood = -29581.521
Iteration 22: (EM) log likelihood = -29539.228
Iteration 23: (EM) log likelihood = -29504.443
Iteration 24: (EM) log likelihood = -29475.589
Iteration 25: (EM) log likelihood = -29450.903
Iteration 26: (EM) log likelihood = -29428.874
Iteration 27: (EM) log likelihood = -29408.03
Iteration 28: (EM) log likelihood = -29387.509
Iteration 29: (EM) log likelihood = -29366.711
Iteration 30: (EM) log likelihood = -29345.626
Iteration 31: (EM) log likelihood = -29323.72
Iteration 32: (EM) log likelihood = -29301.531
Iteration 33: (EM) log likelihood = -29278.357
Iteration 34: (EM) log likelihood = -29255.073
Iteration 35: (EM) log likelihood = -29232.593
Iteration 36: (EM) log likelihood = -29211.134
Iteration 37: (EM) log likelihood = -29190.867
Iteration 38: (EM) log likelihood = -29171.875
Iteration 39: (EM) log likelihood = -29153.841
Iteration 40: (EM) log likelihood = -29137.096
Iteration 41: (EM) log likelihood = -29121.804
Iteration 42: (EM) log likelihood = -29107.111
Iteration 43: (EM) log likelihood = -29093.475
Iteration 44: (EM) log likelihood = -29081.323
Iteration 45: (EM) log likelihood = -29069.276
Iteration 46: (EM) log likelihood = -29055.713
Iteration 47: (EM) log likelihood = -29046.519
Iteration 48: (EM) log likelihood = -29037.593
Iteration 49: (EM) log likelihood = -29029.384
Iteration 50: (EM) log likelihood = -29022.534
Iteration 51: (EM) log likelihood = -29016.03
Iteration 52: (EM) log likelihood = -29009.943
Iteration 53: (EM) log likelihood = -29003.734
Iteration 54: (EM) log likelihood = -28997.3
Iteration 55: (EM) log likelihood = -28989.408
Iteration 56: (EM) log likelihood = -28982.342
Iteration 57: (EM) log likelihood = -28975.31
Iteration 58: (EM) log likelihood = -28968.559
Iteration 59: (EM) log likelihood = -28962.968
Iteration 60: (EM) log likelihood = -28958.217
Iteration 61: (EM) log likelihood = -28954.065
Iteration 62: (EM) log likelihood = -28950.723
Iteration 63: (EM) log likelihood = -28947.733
Iteration 64: (EM) log likelihood = -28945.029
Iteration 65: (EM) log likelihood = -28942.695
Iteration 66: (EM) log likelihood = -28940.527
Iteration 67: (EM) log likelihood = -28939.11
Iteration 68: (EM) log likelihood = -28937.395
Iteration 69: (EM) log likelihood = -28936.446
Iteration 70: (EM) log likelihood = -28935.684
Iteration 71: (EM) log likelihood = -28934.739
Iteration 72: (EM) log likelihood = -28934.503
Iteration 73: (EM) log likelihood = -28934.015
Iteration 74: (EM) log likelihood = -28933.604
Iteration 75: (EM) log likelihood = -28933.195
Iteration 76: (EM) log likelihood = -28932.562
Iteration 77: (EM) log likelihood = -28931.78
Iteration 78: (EM) log likelihood = -28930.685
Iteration 79: (EM) log likelihood = -28929.204
Iteration 80: (EM) log likelihood = -28927.18
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.9974
Iteration 1: (class) log likelihood = -6787.9974
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29316.308
Iteration 1: (outcome) log likelihood = -29166.285
Iteration 2: (outcome) log likelihood = -29118.043
Iteration 3: (outcome) log likelihood = -29111.068
Iteration 4: (outcome) log likelihood = -29109.359
Iteration 5: (outcome) log likelihood = -29109
Iteration 6: (outcome) log likelihood = -29108.923
Iteration 7: (outcome) log likelihood = -29108.906
Iteration 8: (outcome) log likelihood = -29108.902
Iteration 9: (outcome) log likelihood = -29108.901
Iteration 10: (outcome) log likelihood = -29108.901
Iteration 11: (outcome) log likelihood = -29108.901
Iteration 12: (outcome) log likelihood = -29108.901
Refining starting values:
Iteration 0: (EM) log likelihood = -35870.299
Iteration 1: (EM) log likelihood = -35749.523
Iteration 2: (EM) log likelihood = -35305.644
Iteration 3: (EM) log likelihood = -34234.226
Iteration 4: (EM) log likelihood = -33110.356
Iteration 5: (EM) log likelihood = -32419.811
Iteration 6: (EM) log likelihood = -31945.6
Iteration 7: (EM) log likelihood = -31542.344
Iteration 8: (EM) log likelihood = -31184.02
Iteration 9: (EM) log likelihood = -30880.763
Iteration 10: (EM) log likelihood = -30631.351
Iteration 11: (EM) log likelihood = -30433.887
Iteration 12: (EM) log likelihood = -30280.695
Iteration 13: (EM) log likelihood = -30155.824
Iteration 14: (EM) log likelihood = -30053.264
Iteration 15: (EM) log likelihood = -29967.113
Iteration 16: (EM) log likelihood = -29892.049
Iteration 17: (EM) log likelihood = -29823.194
Iteration 18: (EM) log likelihood = -29759.726
Iteration 19: (EM) log likelihood = -29700.413
Iteration 20: (EM) log likelihood = -29642.124
Iteration 21: (EM) log likelihood = -29583.637
Iteration 22: (EM) log likelihood = -29525.035
Iteration 23: (EM) log likelihood = -29466.959
Iteration 24: (EM) log likelihood = -29411.546
Iteration 25: (EM) log likelihood = -29357.905
Iteration 26: (EM) log likelihood = -29308.277
Iteration 27: (EM) log likelihood = -29262.307
Iteration 28: (EM) log likelihood = -29218.763
Iteration 29: (EM) log likelihood = -29178.545
Iteration 30: (EM) log likelihood = -29139.871
Iteration 31: (EM) log likelihood = -29101.619
Iteration 32: (EM) log likelihood = -29063.504
Iteration 33: (EM) log likelihood = -29025.506
Iteration 34: (EM) log likelihood = -28988.397
Iteration 35: (EM) log likelihood = -28952.477
Iteration 36: (EM) log likelihood = -28919.471
Iteration 37: (EM) log likelihood = -28888.63
Iteration 38: (EM) log likelihood = -28857.998
Iteration 39: (EM) log likelihood = -28828.933
Iteration 40: (EM) log likelihood = -28801.592
Iteration 41: (EM) log likelihood = -28775.97
Iteration 42: (EM) log likelihood = -28752.181
Iteration 43: (EM) log likelihood = -28727.914
Iteration 44: (EM) log likelihood = -28703.836
Iteration 45: (EM) log likelihood = -28680.204
Iteration 46: (EM) log likelihood = -28658.629
Iteration 47: (EM) log likelihood = -28635.725
Iteration 48: (EM) log likelihood = -28614.152
Iteration 49: (EM) log likelihood = -28593.359
Iteration 50: (EM) log likelihood = -28573.458
Iteration 51: (EM) log likelihood = -28553.786
Iteration 52: (EM) log likelihood = -28535.528
Iteration 53: (EM) log likelihood = -28517.139
Iteration 54: (EM) log likelihood = -28499.754
Iteration 55: (EM) log likelihood = -28483.876
Iteration 56: (EM) log likelihood = -28466.975
Iteration 57: (EM) log likelihood = -28452.827
Iteration 58: (EM) log likelihood = -28440.174
Iteration 59: (EM) log likelihood = -28429.159
Iteration 60: (EM) log likelihood = -28417.379
Iteration 61: (EM) log likelihood = -28407.708
Iteration 62: (EM) log likelihood = -28397.156
Iteration 63: (EM) log likelihood = -28390.337
Iteration 64: (EM) log likelihood = -28381.96
Iteration 65: (EM) log likelihood = -28373.52
Iteration 66: (EM) log likelihood = -28368.165
Iteration 67: (EM) log likelihood = -28363.297
Iteration 68: (EM) log likelihood = -28357.897
Iteration 69: (EM) log likelihood = -28353.099
Iteration 70: (EM) log likelihood = -28348.083
Iteration 71: (EM) log likelihood = -28344.049
Iteration 72: (EM) log likelihood = -28339.888
Iteration 73: (EM) log likelihood = -28336.765
Iteration 74: (EM) log likelihood = -28334.298
Iteration 75: (EM) log likelihood = -28334.257
Iteration 76: (EM) log likelihood = -28328.688
Iteration 77: (EM) log likelihood = -28326.907
Iteration 78: (EM) log likelihood = -28323.183
Iteration 79: (EM) log likelihood = -28315.96
Iteration 80: (EM) log likelihood = -28311.901
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.5226
Iteration 1: (class) log likelihood = -6787.5226
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29654.923
Iteration 1: (outcome) log likelihood = -29226.506
Iteration 2: (outcome) log likelihood = -29132.988
Iteration 3: (outcome) log likelihood = -29117.459
Iteration 4: (outcome) log likelihood = -29114.811
Iteration 5: (outcome) log likelihood = -29114.208
Iteration 6: (outcome) log likelihood = -29114.057
Iteration 7: (outcome) log likelihood = -29114.028
Iteration 8: (outcome) log likelihood = -29114.023
Iteration 9: (outcome) log likelihood = -29114.022
Iteration 10: (outcome) log likelihood = -29114.022
Iteration 11: (outcome) log likelihood = -29114.022
Iteration 12: (outcome) log likelihood = -29114.022
Refining starting values:
Iteration 0: (EM) log likelihood = -35879.542
Iteration 1: (EM) log likelihood = -35778.945
Iteration 2: (EM) log likelihood = -35395.347
Iteration 3: (EM) log likelihood = -34432.114
Iteration 4: (EM) log likelihood = -33384.589
Iteration 5: (EM) log likelihood = -32731.364
Iteration 6: (EM) log likelihood = -32336.454
Iteration 7: (EM) log likelihood = -32041.462
Iteration 8: (EM) log likelihood = -31778.434
Iteration 9: (EM) log likelihood = -31535.443
Iteration 10: (EM) log likelihood = -31320.608
Iteration 11: (EM) log likelihood = -31139.379
Iteration 12: (EM) log likelihood = -30979.838
Iteration 13: (EM) log likelihood = -30833.422
Iteration 14: (EM) log likelihood = -30694.434
Iteration 15: (EM) log likelihood = -30559.493
Iteration 16: (EM) log likelihood = -30428.061
Iteration 17: (EM) log likelihood = -30302.688
Iteration 18: (EM) log likelihood = -30187.475
Iteration 19: (EM) log likelihood = -30083.293
Iteration 20: (EM) log likelihood = -29992.687
Iteration 21: (EM) log likelihood = -29913.274
Iteration 22: (EM) log likelihood = -29846.351
Iteration 23: (EM) log likelihood = -29787.991
Iteration 24: (EM) log likelihood = -29737.658
Iteration 25: (EM) log likelihood = -29692.968
Iteration 26: (EM) log likelihood = -29653.218
Iteration 27: (EM) log likelihood = -29616.343
Iteration 28: (EM) log likelihood = -29582.956
Iteration 29: (EM) log likelihood = -29552.958
Iteration 30: (EM) log likelihood = -29525.566
Iteration 31: (EM) log likelihood = -29500.736
Iteration 32: (EM) log likelihood = -29478.765
Iteration 33: (EM) log likelihood = -29458.825
Iteration 34: (EM) log likelihood = -29440.415
Iteration 35: (EM) log likelihood = -29423.651
Iteration 36: (EM) log likelihood = -29407.175
Iteration 37: (EM) log likelihood = -29392.036
Iteration 38: (EM) log likelihood = -29377.481
Iteration 39: (EM) log likelihood = -29362.589
Iteration 40: (EM) log likelihood = -29348.131
Iteration 41: (EM) log likelihood = -29334.06
Iteration 42: (EM) log likelihood = -29320.403
Iteration 43: (EM) log likelihood = -29307.577
Iteration 44: (EM) log likelihood = -29295.001
Iteration 45: (EM) log likelihood = -29282.879
Iteration 46: (EM) log likelihood = -29271.294
Iteration 47: (EM) log likelihood = -29260.276
Iteration 48: (EM) log likelihood = -29248.773
Iteration 49: (EM) log likelihood = -29238.938
Iteration 50: (EM) log likelihood = -29229.849
Iteration 51: (EM) log likelihood = -29223.196
Iteration 52: (EM) log likelihood = -29214.774
Iteration 53: (EM) log likelihood = -29208.251
Iteration 54: (EM) log likelihood = -29201.975
Iteration 55: (EM) log likelihood = -29194.851
Iteration 56: (EM) log likelihood = -29188.259
Iteration 57: (EM) log likelihood = -29182.209
Iteration 58: (EM) log likelihood = -29176.991
Iteration 59: (EM) log likelihood = -29171.648
Iteration 60: (EM) log likelihood = -29166.307
Iteration 61: (EM) log likelihood = -29159.568
Iteration 62: (EM) log likelihood = -29155.644
Iteration 63: (EM) log likelihood = -29150.744
Iteration 64: (EM) log likelihood = -29146.926
Iteration 65: (EM) log likelihood = -29142.906
Iteration 66: (EM) log likelihood = -29139.2
Iteration 67: (EM) log likelihood = -29136.693
Iteration 68: (EM) log likelihood = -29133.29
Iteration 69: (EM) log likelihood = -29129.837
Iteration 70: (EM) log likelihood = -29129.723
Iteration 71: (EM) log likelihood = -29128.144
Iteration 72: (EM) log likelihood = -29124.716
Iteration 73: (EM) log likelihood = -29120.26
Iteration 74: (EM) log likelihood = -29114.467
Iteration 75: (EM) log likelihood = -29108.028
Iteration 76: (EM) log likelihood = -29103.313
Iteration 77: (EM) log likelihood = -29098.261
Iteration 78: (EM) log likelihood = -29093.562
Iteration 79: (EM) log likelihood = -29088.932
Iteration 80: (EM) log likelihood = -29084.123
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.5569
Iteration 1: (class) log likelihood = -6787.5569
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29647.042
Iteration 1: (outcome) log likelihood = -29214.665
Iteration 2: (outcome) log likelihood = -29121.339
Iteration 3: (outcome) log likelihood = -29104.841
Iteration 4: (outcome) log likelihood = -29100.954
Iteration 5: (outcome) log likelihood = -29100.143
Iteration 6: (outcome) log likelihood = -29099.975
Iteration 7: (outcome) log likelihood = -29099.936
Iteration 8: (outcome) log likelihood = -29099.927
Iteration 9: (outcome) log likelihood = -29099.925
Iteration 10: (outcome) log likelihood = -29099.925
Iteration 11: (outcome) log likelihood = -29099.925
Iteration 12: (outcome) log likelihood = -29099.925
Refining starting values:
Iteration 0: (EM) log likelihood = -35863.147
Iteration 1: (EM) log likelihood = -35785.142
Iteration 2: (EM) log likelihood = -35571.009
Iteration 3: (EM) log likelihood = -35038.839
Iteration 4: (EM) log likelihood = -34046.993
Iteration 5: (EM) log likelihood = -32830.476
Iteration 6: (EM) log likelihood = -31851.076
Iteration 7: (EM) log likelihood = -31256.603
Iteration 8: (EM) log likelihood = -30909.185
Iteration 9: (EM) log likelihood = -30675.342
Iteration 10: (EM) log likelihood = -30486.51
Iteration 11: (EM) log likelihood = -30320.785
Iteration 12: (EM) log likelihood = -30170.262
Iteration 13: (EM) log likelihood = -30024.565
Iteration 14: (EM) log likelihood = -29883.943
Iteration 15: (EM) log likelihood = -29758.656
Iteration 16: (EM) log likelihood = -29649.751
Iteration 17: (EM) log likelihood = -29558.691
Iteration 18: (EM) log likelihood = -29480.019
Iteration 19: (EM) log likelihood = -29409.121
Iteration 20: (EM) log likelihood = -29347.339
Iteration 21: (EM) log likelihood = -29290.655
Iteration 22: (EM) log likelihood = -29240.451
Iteration 23: (EM) log likelihood = -29193.819
Iteration 24: (EM) log likelihood = -29150.63
Iteration 25: (EM) log likelihood = -29111.181
Iteration 26: (EM) log likelihood = -29075.205
Iteration 27: (EM) log likelihood = -29041.454
Iteration 28: (EM) log likelihood = -29009.427
Iteration 29: (EM) log likelihood = -28979.918
Iteration 30: (EM) log likelihood = -28950.173
Iteration 31: (EM) log likelihood = -28921.594
Iteration 32: (EM) log likelihood = -28895.04
Iteration 33: (EM) log likelihood = -28869.59
Iteration 34: (EM) log likelihood = -28844.609
Iteration 35: (EM) log likelihood = -28819.206
Iteration 36: (EM) log likelihood = -28793.868
Iteration 37: (EM) log likelihood = -28772.353
Iteration 38: (EM) log likelihood = -28748.608
Iteration 39: (EM) log likelihood = -28725.902
Iteration 40: (EM) log likelihood = -28706.046
Iteration 41: (EM) log likelihood = -28685.282
Iteration 42: (EM) log likelihood = -28663.32
Iteration 43: (EM) log likelihood = -28642.198
Iteration 44: (EM) log likelihood = -28620.54
Iteration 45: (EM) log likelihood = -28599.556
Iteration 46: (EM) log likelihood = -28582.373
Iteration 47: (EM) log likelihood = -28565.887
Iteration 48: (EM) log likelihood = -28548.202
Iteration 49: (EM) log likelihood = -28531.744
Iteration 50: (EM) log likelihood = -28518.305
Iteration 51: (EM) log likelihood = -28504.193
Iteration 52: (EM) log likelihood = -28491.09
Iteration 53: (EM) log likelihood = -28479.83
Iteration 54: (EM) log likelihood = -28468.777
Iteration 55: (EM) log likelihood = -28457.478
Iteration 56: (EM) log likelihood = -28444.491
Iteration 57: (EM) log likelihood = -28432.109
Iteration 58: (EM) log likelihood = -28417.925
Iteration 59: (EM) log likelihood = -28403.798
Iteration 60: (EM) log likelihood = -28389.411
Iteration 61: (EM) log likelihood = -28374.61
Iteration 62: (EM) log likelihood = -28361.878
Iteration 63: (EM) log likelihood = -28347.155
Iteration 64: (EM) log likelihood = -28335.958
Iteration 65: (EM) log likelihood = -28325.451
Iteration 66: (EM) log likelihood = -28315.977
Iteration 67: (EM) log likelihood = -28306.507
Iteration 68: (EM) log likelihood = -28298.859
Iteration 69: (EM) log likelihood = -28293.703
Iteration 70: (EM) log likelihood = -28289.085
Iteration 71: (EM) log likelihood = -28285.155
Iteration 72: (EM) log likelihood = -28281.492
Iteration 73: (EM) log likelihood = -28277.372
Iteration 74: (EM) log likelihood = -28274.507
Iteration 75: (EM) log likelihood = -28271.667
Iteration 76: (EM) log likelihood = -28269.357
Iteration 77: (EM) log likelihood = -28266.29
Iteration 78: (EM) log likelihood = -28263.852
Iteration 79: (EM) log likelihood = -28263.48
Iteration 80: (EM) log likelihood = -28260.179
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6784.8627
Iteration 1: (class) log likelihood = -6784.8627
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29841.753
Iteration 1: (outcome) log likelihood = -29234.463
Iteration 2: (outcome) log likelihood = -29123.489
Iteration 3: (outcome) log likelihood = -29100.69
Iteration 4: (outcome) log likelihood = -29095.639
Iteration 5: (outcome) log likelihood = -29094.561
Iteration 6: (outcome) log likelihood = -29094.386
Iteration 7: (outcome) log likelihood = -29094.343
Iteration 8: (outcome) log likelihood = -29094.334
Iteration 9: (outcome) log likelihood = -29094.333
Iteration 10: (outcome) log likelihood = -29094.332
Iteration 11: (outcome) log likelihood = -29094.332
Iteration 12: (outcome) log likelihood = -29094.332
Refining starting values:
Iteration 0: (EM) log likelihood = -35864.528
Iteration 1: (EM) log likelihood = -35812.723
Iteration 2: (EM) log likelihood = -35655.469
Iteration 3: (EM) log likelihood = -35157.035
Iteration 4: (EM) log likelihood = -33950.062
Iteration 5: (EM) log likelihood = -32543.53
Iteration 6: (EM) log likelihood = -31668.181
Iteration 7: (EM) log likelihood = -31176.773
Iteration 8: (EM) log likelihood = -30871.323
Iteration 9: (EM) log likelihood = -30652.384
Iteration 10: (EM) log likelihood = -30476.798
Iteration 11: (EM) log likelihood = -30329.606
Iteration 12: (EM) log likelihood = -30204.517
Iteration 13: (EM) log likelihood = -30099.941
Iteration 14: (EM) log likelihood = -30014.568
Iteration 15: (EM) log likelihood = -29944.257
Iteration 16: (EM) log likelihood = -29888.974
Iteration 17: (EM) log likelihood = -29844.883
Iteration 18: (EM) log likelihood = -29809.997
Iteration 19: (EM) log likelihood = -29782.488
Iteration 20: (EM) log likelihood = -29761.453
Iteration 21: (EM) log likelihood = -29743.53
Iteration 22: (EM) log likelihood = -29727.724
Iteration 23: (EM) log likelihood = -29715.144
Iteration 24: (EM) log likelihood = -29703.188
Iteration 25: (EM) log likelihood = -29692.845
Iteration 26: (EM) log likelihood = -29681.976
Iteration 27: (EM) log likelihood = -29672.976
Iteration 28: (EM) log likelihood = -29662.675
Iteration 29: (EM) log likelihood = -29652.632
Iteration 30: (EM) log likelihood = -29641.551
Iteration 31: (EM) log likelihood = -29629.102
Iteration 32: (EM) log likelihood = -29614.538
Iteration 33: (EM) log likelihood = -29598.148
Iteration 34: (EM) log likelihood = -29578.55
Iteration 35: (EM) log likelihood = -29555.178
Iteration 36: (EM) log likelihood = -29529.394
Iteration 37: (EM) log likelihood = -29500.254
Iteration 38: (EM) log likelihood = -29469.676
Iteration 39: (EM) log likelihood = -29435.516
Iteration 40: (EM) log likelihood = -29401.229
Iteration 41: (EM) log likelihood = -29365.869
Iteration 42: (EM) log likelihood = -29329.891
Iteration 43: (EM) log likelihood = -29293.474
Iteration 44: (EM) log likelihood = -29256.685
Iteration 45: (EM) log likelihood = -29222.154
Iteration 46: (EM) log likelihood = -29187.407
Iteration 47: (EM) log likelihood = -29150.872
Iteration 48: (EM) log likelihood = -29117.809
Iteration 49: (EM) log likelihood = -29083.96
Iteration 50: (EM) log likelihood = -29050.655
Iteration 51: (EM) log likelihood = -29018.182
Iteration 52: (EM) log likelihood = -28986.406
Iteration 53: (EM) log likelihood = -28955.437
Iteration 54: (EM) log likelihood = -28924.842
Iteration 55: (EM) log likelihood = -28895.276
Iteration 56: (EM) log likelihood = -28866.642
Iteration 57: (EM) log likelihood = -28838.708
Iteration 58: (EM) log likelihood = -28809.575
Iteration 59: (EM) log likelihood = -28781.832
Iteration 60: (EM) log likelihood = -28752.282
Iteration 61: (EM) log likelihood = -28723.319
Iteration 62: (EM) log likelihood = -28696.588
Iteration 63: (EM) log likelihood = -28672.562
Iteration 64: (EM) log likelihood = -28651.511
Iteration 65: (EM) log likelihood = -28633.56
Iteration 66: (EM) log likelihood = -28617.93
Iteration 67: (EM) log likelihood = -28603.298
Iteration 68: (EM) log likelihood = -28590.15
Iteration 69: (EM) log likelihood = -28580.76
Iteration 70: (EM) log likelihood = -28569.908
Iteration 71: (EM) log likelihood = -28560.951
Iteration 72: (EM) log likelihood = -28551.589
Iteration 73: (EM) log likelihood = -28543.835
Iteration 74: (EM) log likelihood = -28537.005
Iteration 75: (EM) log likelihood = -28528.021
Iteration 76: (EM) log likelihood = -28516.604
Iteration 77: (EM) log likelihood = -28505.738
Iteration 78: (EM) log likelihood = -28497.762
Iteration 79: (EM) log likelihood = -28490.159
Iteration 80: (EM) log likelihood = -28479.975
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6786.7981
Iteration 1: (class) log likelihood = -6786.7981
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30207.477
Iteration 1: (outcome) log likelihood = -29324.11
Iteration 2: (outcome) log likelihood = -29150.214
Iteration 3: (outcome) log likelihood = -29114.613
Iteration 4: (outcome) log likelihood = -29107.732
Iteration 5: (outcome) log likelihood = -29106.178
Iteration 6: (outcome) log likelihood = -29105.835
Iteration 7: (outcome) log likelihood = -29105.751
Iteration 8: (outcome) log likelihood = -29105.733
Iteration 9: (outcome) log likelihood = -29105.73
Iteration 10: (outcome) log likelihood = -29105.729
Iteration 11: (outcome) log likelihood = -29105.729
Iteration 12: (outcome) log likelihood = -29105.729
Refining starting values:
Iteration 0: (EM) log likelihood = -35883.853
Iteration 1: (EM) log likelihood = -35850.767
Iteration 2: (EM) log likelihood = -35761.564
Iteration 3: (EM) log likelihood = -35515.692
Iteration 4: (EM) log likelihood = -34897.039
Iteration 5: (EM) log likelihood = -33835.951
Iteration 6: (EM) log likelihood = -32744.258
Iteration 7: (EM) log likelihood = -31902.54
Iteration 8: (EM) log likelihood = -31302.533
Iteration 9: (EM) log likelihood = -30877.539
Iteration 10: (EM) log likelihood = -30552.13
Iteration 11: (EM) log likelihood = -30287.377
Iteration 12: (EM) log likelihood = -30084.9
Iteration 13: (EM) log likelihood = -29928.801
Iteration 14: (EM) log likelihood = -29805.683
Iteration 15: (EM) log likelihood = -29716.556
Iteration 16: (EM) log likelihood = -29650.1
Iteration 17: (EM) log likelihood = -29598.213
Iteration 18: (EM) log likelihood = -29556.827
Iteration 19: (EM) log likelihood = -29523.946
Iteration 20: (EM) log likelihood = -29495.459
Iteration 21: (EM) log likelihood = -29471.814
Iteration 22: (EM) log likelihood = -29451.92
Iteration 23: (EM) log likelihood = -29435.801
Iteration 24: (EM) log likelihood = -29420.624
Iteration 25: (EM) log likelihood = -29407.461
Iteration 26: (EM) log likelihood = -29396.121
Iteration 27: (EM) log likelihood = -29385.157
Iteration 28: (EM) log likelihood = -29375.524
Iteration 29: (EM) log likelihood = -29366.963
Iteration 30: (EM) log likelihood = -29358.741
Iteration 31: (EM) log likelihood = -29351.715
Iteration 32: (EM) log likelihood = -29344.18
Iteration 33: (EM) log likelihood = -29336.989
Iteration 34: (EM) log likelihood = -29329.818
Iteration 35: (EM) log likelihood = -29322.369
Iteration 36: (EM) log likelihood = -29315.797
Iteration 37: (EM) log likelihood = -29309.104
Iteration 38: (EM) log likelihood = -29303.26
Iteration 39: (EM) log likelihood = -29296.435
Iteration 40: (EM) log likelihood = -29289.595
Iteration 41: (EM) log likelihood = -29283.119
Iteration 42: (EM) log likelihood = -29276.69
Iteration 43: (EM) log likelihood = -29270.085
Iteration 44: (EM) log likelihood = -29263.63
Iteration 45: (EM) log likelihood = -29256.756
Iteration 46: (EM) log likelihood = -29250.709
Iteration 47: (EM) log likelihood = -29244.693
Iteration 48: (EM) log likelihood = -29238.666
Iteration 49: (EM) log likelihood = -29232.918
Iteration 50: (EM) log likelihood = -29227.378
Iteration 51: (EM) log likelihood = -29221.992
Iteration 52: (EM) log likelihood = -29216.983
Iteration 53: (EM) log likelihood = -29212.232
Iteration 54: (EM) log likelihood = -29207.699
Iteration 55: (EM) log likelihood = -29203.345
Iteration 56: (EM) log likelihood = -29199.346
Iteration 57: (EM) log likelihood = -29195.461
Iteration 58: (EM) log likelihood = -29191.604
Iteration 59: (EM) log likelihood = -29187.865
Iteration 60: (EM) log likelihood = -29184.41
Iteration 61: (EM) log likelihood = -29180.511
Iteration 62: (EM) log likelihood = -29177.015
Iteration 63: (EM) log likelihood = -29173.438
Iteration 64: (EM) log likelihood = -29170.325
Iteration 65: (EM) log likelihood = -29166.525
Iteration 66: (EM) log likelihood = -29163.354
Iteration 67: (EM) log likelihood = -29159.995
Iteration 68: (EM) log likelihood = -29156.381
Iteration 69: (EM) log likelihood = -29152.619
Iteration 70: (EM) log likelihood = -29149.176
Iteration 71: (EM) log likelihood = -29145.142
Iteration 72: (EM) log likelihood = -29141.471
Iteration 73: (EM) log likelihood = -29137.339
Iteration 74: (EM) log likelihood = -29132.904
Iteration 75: (EM) log likelihood = -29128.11
Iteration 76: (EM) log likelihood = -29123.807
Iteration 77: (EM) log likelihood = -29119.715
Iteration 78: (EM) log likelihood = -29114.859
Iteration 79: (EM) log likelihood = -29109.784
Iteration 80: (EM) log likelihood = -29104.585
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.7223
Iteration 1: (class) log likelihood = -6787.7223
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29680.654
Iteration 1: (outcome) log likelihood = -29242.206
Iteration 2: (outcome) log likelihood = -29143.321
Iteration 3: (outcome) log likelihood = -29126.52
Iteration 4: (outcome) log likelihood = -29122.994
Iteration 5: (outcome) log likelihood = -29122.198
Iteration 6: (outcome) log likelihood = -29122.052
Iteration 7: (outcome) log likelihood = -29122.037
Iteration 8: (outcome) log likelihood = -29122.034
Iteration 9: (outcome) log likelihood = -29122.033
Iteration 10: (outcome) log likelihood = -29122.033
Iteration 11: (outcome) log likelihood = -29122.033
Iteration 12: (outcome) log likelihood = -29122.033
Refining starting values:
Iteration 0: (EM) log likelihood = -35885.516
Iteration 1: (EM) log likelihood = -35802.627
Iteration 2: (EM) log likelihood = -35548.125
Iteration 3: (EM) log likelihood = -34890.099
Iteration 4: (EM) log likelihood = -33790.95
Iteration 5: (EM) log likelihood = -32780.38
Iteration 6: (EM) log likelihood = -32140.994
Iteration 7: (EM) log likelihood = -31761.681
Iteration 8: (EM) log likelihood = -31499.131
Iteration 9: (EM) log likelihood = -31264.555
Iteration 10: (EM) log likelihood = -31013.74
Iteration 11: (EM) log likelihood = -30741.785
Iteration 12: (EM) log likelihood = -30473.048
Iteration 13: (EM) log likelihood = -30226.733
Iteration 14: (EM) log likelihood = -30007.405
Iteration 15: (EM) log likelihood = -29824.831
Iteration 16: (EM) log likelihood = -29683.901
Iteration 17: (EM) log likelihood = -29579.329
Iteration 18: (EM) log likelihood = -29503.175
Iteration 19: (EM) log likelihood = -29444.282
Iteration 20: (EM) log likelihood = -29397.007
Iteration 21: (EM) log likelihood = -29356.883
Iteration 22: (EM) log likelihood = -29322.137
Iteration 23: (EM) log likelihood = -29290.815
Iteration 24: (EM) log likelihood = -29261.811
Iteration 25: (EM) log likelihood = -29235.594
Iteration 26: (EM) log likelihood = -29211.551
Iteration 27: (EM) log likelihood = -29186.627
Iteration 28: (EM) log likelihood = -29163.952
Iteration 29: (EM) log likelihood = -29139.953
Iteration 30: (EM) log likelihood = -29113.755
Iteration 31: (EM) log likelihood = -29086.574
Iteration 32: (EM) log likelihood = -29057.909
Iteration 33: (EM) log likelihood = -29027.052
Iteration 34: (EM) log likelihood = -28996.042
Iteration 35: (EM) log likelihood = -28962.008
Iteration 36: (EM) log likelihood = -28926.499
Iteration 37: (EM) log likelihood = -28891.585
Iteration 38: (EM) log likelihood = -28854.722
Iteration 39: (EM) log likelihood = -28817.192
Iteration 40: (EM) log likelihood = -28781.435
Iteration 41: (EM) log likelihood = -28747.382
Iteration 42: (EM) log likelihood = -28715.602
Iteration 43: (EM) log likelihood = -28685.592
Iteration 44: (EM) log likelihood = -28659.432
Iteration 45: (EM) log likelihood = -28635.745
Iteration 46: (EM) log likelihood = -28612.779
Iteration 47: (EM) log likelihood = -28593.358
Iteration 48: (EM) log likelihood = -28575.362
Iteration 49: (EM) log likelihood = -28558.473
Iteration 50: (EM) log likelihood = -28541.351
Iteration 51: (EM) log likelihood = -28525.558
Iteration 52: (EM) log likelihood = -28510.776
Iteration 53: (EM) log likelihood = -28496.766
Iteration 54: (EM) log likelihood = -28483.285
Iteration 55: (EM) log likelihood = -28470.107
Iteration 56: (EM) log likelihood = -28457.019
Iteration 57: (EM) log likelihood = -28444.433
Iteration 58: (EM) log likelihood = -28433.143
Iteration 59: (EM) log likelihood = -28422.415
Iteration 60: (EM) log likelihood = -28412.512
Iteration 61: (EM) log likelihood = -28403.278
Iteration 62: (EM) log likelihood = -28394.944
Iteration 63: (EM) log likelihood = -28387.693
Iteration 64: (EM) log likelihood = -28381.268
Iteration 65: (EM) log likelihood = -28375.305
Iteration 66: (EM) log likelihood = -28369.968
Iteration 67: (EM) log likelihood = -28365.139
Iteration 68: (EM) log likelihood = -28360.794
Iteration 69: (EM) log likelihood = -28356.933
Iteration 70: (EM) log likelihood = -28353.432
Iteration 71: (EM) log likelihood = -28350.366
Iteration 72: (EM) log likelihood = -28346.96
Iteration 73: (EM) log likelihood = -28344.622
Iteration 74: (EM) log likelihood = -28342.253
Iteration 75: (EM) log likelihood = -28338.18
Iteration 76: (EM) log likelihood = -28335.653
Iteration 77: (EM) log likelihood = -28332.438
Iteration 78: (EM) log likelihood = -28329.206
Iteration 79: (EM) log likelihood = -28325.839
Iteration 80: (EM) log likelihood = -28323.8
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6786.852
Iteration 1: (class) log likelihood = -6786.852
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29119.592
Iteration 1: (outcome) log likelihood = -29119.592
Refining starting values:
Iteration 0: (EM) log likelihood = -35868.286
Iteration 1: (EM) log likelihood = -35720.146
Iteration 2: (EM) log likelihood = -35258.798
Iteration 3: (EM) log likelihood = -34304.073
Iteration 4: (EM) log likelihood = -33127.209
Iteration 5: (EM) log likelihood = -32170.302
Iteration 6: (EM) log likelihood = -31560.821
Iteration 7: (EM) log likelihood = -31193.993
Iteration 8: (EM) log likelihood = -30931.385
Iteration 9: (EM) log likelihood = -30704.256
Iteration 10: (EM) log likelihood = -30498.519
Iteration 11: (EM) log likelihood = -30316.331
Iteration 12: (EM) log likelihood = -30155.777
Iteration 13: (EM) log likelihood = -30011.052
Iteration 14: (EM) log likelihood = -29878.291
Iteration 15: (EM) log likelihood = -29745.502
Iteration 16: (EM) log likelihood = -29612.931
Iteration 17: (EM) log likelihood = -29494.452
Iteration 18: (EM) log likelihood = -29402.499
Iteration 19: (EM) log likelihood = -29336.023
Iteration 20: (EM) log likelihood = -29288.278
Iteration 21: (EM) log likelihood = -29252.524
Iteration 22: (EM) log likelihood = -29219.296
Iteration 23: (EM) log likelihood = -29189.982
Iteration 24: (EM) log likelihood = -29160.164
Iteration 25: (EM) log likelihood = -29128.617
Iteration 26: (EM) log likelihood = -29091.819
Iteration 27: (EM) log likelihood = -29049.623
Iteration 28: (EM) log likelihood = -29002.822
Iteration 29: (EM) log likelihood = -28952.956
Iteration 30: (EM) log likelihood = -28901.66
Iteration 31: (EM) log likelihood = -28853.788
Iteration 32: (EM) log likelihood = -28808.94
Iteration 33: (EM) log likelihood = -28769.154
Iteration 34: (EM) log likelihood = -28734.202
Iteration 35: (EM) log likelihood = -28703.614
Iteration 36: (EM) log likelihood = -28674.59
Iteration 37: (EM) log likelihood = -28647.475
Iteration 38: (EM) log likelihood = -28623.62
Iteration 39: (EM) log likelihood = -28600.304
Iteration 40: (EM) log likelihood = -28580.955
Iteration 41: (EM) log likelihood = -28562.449
Iteration 42: (EM) log likelihood = -28545.04
Iteration 43: (EM) log likelihood = -28527.824
Iteration 44: (EM) log likelihood = -28513.099
Iteration 45: (EM) log likelihood = -28498.848
Iteration 46: (EM) log likelihood = -28485.526
Iteration 47: (EM) log likelihood = -28472.743
Iteration 48: (EM) log likelihood = -28461.831
Iteration 49: (EM) log likelihood = -28452.443
Iteration 50: (EM) log likelihood = -28442.444
Iteration 51: (EM) log likelihood = -28433.737
Iteration 52: (EM) log likelihood = -28425.039
Iteration 53: (EM) log likelihood = -28417.481
Iteration 54: (EM) log likelihood = -28408.841
Iteration 55: (EM) log likelihood = -28400.479
Iteration 56: (EM) log likelihood = -28390.89
Iteration 57: (EM) log likelihood = -28383.085
Iteration 58: (EM) log likelihood = -28373.237
Iteration 59: (EM) log likelihood = -28366.057
Iteration 60: (EM) log likelihood = -28358.691
Iteration 61: (EM) log likelihood = -28350.863
Iteration 62: (EM) log likelihood = -28344.714
Iteration 63: (EM) log likelihood = -28338.264
Iteration 64: (EM) log likelihood = -28332.112
Iteration 65: (EM) log likelihood = -28325.504
Iteration 66: (EM) log likelihood = -28322.389
Iteration 67: (EM) log likelihood = -28317.226
Iteration 68: (EM) log likelihood = -28312.266
Iteration 69: (EM) log likelihood = -28306.877
Iteration 70: (EM) log likelihood = -28301.066
Iteration 71: (EM) log likelihood = -28296.293
Iteration 72: (EM) log likelihood = -28291.799
Iteration 73: (EM) log likelihood = -28286.785
Iteration 74: (EM) log likelihood = -28282.057
Iteration 75: (EM) log likelihood = -28275.902
Iteration 76: (EM) log likelihood = -28270.42
Iteration 77: (EM) log likelihood = -28266.441
Iteration 78: (EM) log likelihood = -28263.669
Iteration 79: (EM) log likelihood = -28259.785
Iteration 80: (EM) log likelihood = -28255.909
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6785.7132
Iteration 1: (class) log likelihood = -6785.7132
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29513.371
Iteration 1: (outcome) log likelihood = -29226.786
Iteration 2: (outcome) log likelihood = -29136.929
Iteration 3: (outcome) log likelihood = -29123.005
Iteration 4: (outcome) log likelihood = -29119.72
Iteration 5: (outcome) log likelihood = -29119.054
Iteration 6: (outcome) log likelihood = -29118.936
Iteration 7: (outcome) log likelihood = -29118.923
Iteration 8: (outcome) log likelihood = -29118.921
Iteration 9: (outcome) log likelihood = -29118.92
Iteration 10: (outcome) log likelihood = -29118.92
Iteration 11: (outcome) log likelihood = -29118.92
Refining starting values:
Iteration 0: (EM) log likelihood = -35885.521
Iteration 1: (EM) log likelihood = -35804.06
Iteration 2: (EM) log likelihood = -35526.186
Iteration 3: (EM) log likelihood = -34818.746
Iteration 4: (EM) log likelihood = -33815.105
Iteration 5: (EM) log likelihood = -33017.56
Iteration 6: (EM) log likelihood = -32464.811
Iteration 7: (EM) log likelihood = -31996.222
Iteration 8: (EM) log likelihood = -31556.716
Iteration 9: (EM) log likelihood = -31170.095
Iteration 10: (EM) log likelihood = -30868.12
Iteration 11: (EM) log likelihood = -30638.695
Iteration 12: (EM) log likelihood = -30458.563
Iteration 13: (EM) log likelihood = -30310.446
Iteration 14: (EM) log likelihood = -30186.702
Iteration 15: (EM) log likelihood = -30082.262
Iteration 16: (EM) log likelihood = -29990.738
Iteration 17: (EM) log likelihood = -29908.203
Iteration 18: (EM) log likelihood = -29834.194
Iteration 19: (EM) log likelihood = -29765.763
Iteration 20: (EM) log likelihood = -29703.781
Iteration 21: (EM) log likelihood = -29644.111
Iteration 22: (EM) log likelihood = -29591.549
Iteration 23: (EM) log likelihood = -29543.877
Iteration 24: (EM) log likelihood = -29499.107
Iteration 25: (EM) log likelihood = -29458.302
Iteration 26: (EM) log likelihood = -29419.639
Iteration 27: (EM) log likelihood = -29382.977
Iteration 28: (EM) log likelihood = -29347.735
Iteration 29: (EM) log likelihood = -29314.491
Iteration 30: (EM) log likelihood = -29283.912
Iteration 31: (EM) log likelihood = -29254.13
Iteration 32: (EM) log likelihood = -29225.995
Iteration 33: (EM) log likelihood = -29199.809
Iteration 34: (EM) log likelihood = -29174.267
Iteration 35: (EM) log likelihood = -29151.394
Iteration 36: (EM) log likelihood = -29128.626
Iteration 37: (EM) log likelihood = -29108.281
Iteration 38: (EM) log likelihood = -29087.906
Iteration 39: (EM) log likelihood = -29068.307
Iteration 40: (EM) log likelihood = -29050.55
Iteration 41: (EM) log likelihood = -29033.419
Iteration 42: (EM) log likelihood = -29016.527
Iteration 43: (EM) log likelihood = -29000.705
Iteration 44: (EM) log likelihood = -28985.661
Iteration 45: (EM) log likelihood = -28971.297
Iteration 46: (EM) log likelihood = -28957.267
Iteration 47: (EM) log likelihood = -28943.619
Iteration 48: (EM) log likelihood = -28930.655
Iteration 49: (EM) log likelihood = -28917.815
Iteration 50: (EM) log likelihood = -28906.218
Iteration 51: (EM) log likelihood = -28894.973
Iteration 52: (EM) log likelihood = -28884.717
Iteration 53: (EM) log likelihood = -28874.023
Iteration 54: (EM) log likelihood = -28864.035
Iteration 55: (EM) log likelihood = -28854.455
Iteration 56: (EM) log likelihood = -28844.775
Iteration 57: (EM) log likelihood = -28835.73
Iteration 58: (EM) log likelihood = -28827.269
Iteration 59: (EM) log likelihood = -28818.541
Iteration 60: (EM) log likelihood = -28810.611
Iteration 61: (EM) log likelihood = -28801.935
Iteration 62: (EM) log likelihood = -28793.885
Iteration 63: (EM) log likelihood = -28785.625
Iteration 64: (EM) log likelihood = -28778.034
Iteration 65: (EM) log likelihood = -28769.765
Iteration 66: (EM) log likelihood = -28761.773
Iteration 67: (EM) log likelihood = -28753.467
Iteration 68: (EM) log likelihood = -28744.642
Iteration 69: (EM) log likelihood = -28735.954
Iteration 70: (EM) log likelihood = -28726.08
Iteration 71: (EM) log likelihood = -28715.963
Iteration 72: (EM) log likelihood = -28705.413
Iteration 73: (EM) log likelihood = -28694.97
Iteration 74: (EM) log likelihood = -28684.039
Iteration 75: (EM) log likelihood = -28672.76
Iteration 76: (EM) log likelihood = -28661.124
Iteration 77: (EM) log likelihood = -28648.663
Iteration 78: (EM) log likelihood = -28635.472
Iteration 79: (EM) log likelihood = -28621.61
Iteration 80: (EM) log likelihood = -28607.744
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6785.2995
Iteration 1: (class) log likelihood = -6785.2995
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29861.892
Iteration 1: (outcome) log likelihood = -29271.459
Iteration 2: (outcome) log likelihood = -29129.115
Iteration 3: (outcome) log likelihood = -29103.812
Iteration 4: (outcome) log likelihood = -29099.602
Iteration 5: (outcome) log likelihood = -29098.623
Iteration 6: (outcome) log likelihood = -29098.387
Iteration 7: (outcome) log likelihood = -29098.34
Iteration 8: (outcome) log likelihood = -29098.333
Iteration 9: (outcome) log likelihood = -29098.331
Iteration 10: (outcome) log likelihood = -29098.33
Iteration 11: (outcome) log likelihood = -29098.33
Iteration 12: (outcome) log likelihood = -29098.33
Refining starting values:
Iteration 0: (EM) log likelihood = -35821.625
Iteration 1: (EM) log likelihood = -35564.16
Iteration 2: (EM) log likelihood = -34780.802
Iteration 3: (EM) log likelihood = -33637.768
Iteration 4: (EM) log likelihood = -32815.564
Iteration 5: (EM) log likelihood = -32301.351
Iteration 6: (EM) log likelihood = -31912.322
Iteration 7: (EM) log likelihood = -31585.708
Iteration 8: (EM) log likelihood = -31306.657
Iteration 9: (EM) log likelihood = -31067.516
Iteration 10: (EM) log likelihood = -30847.603
Iteration 11: (EM) log likelihood = -30645.557
Iteration 12: (EM) log likelihood = -30462.337
Iteration 13: (EM) log likelihood = -30302.005
Iteration 14: (EM) log likelihood = -30164.198
Iteration 15: (EM) log likelihood = -30044.13
Iteration 16: (EM) log likelihood = -29940.371
Iteration 17: (EM) log likelihood = -29843.51
Iteration 18: (EM) log likelihood = -29753.956
Iteration 19: (EM) log likelihood = -29662.316
Iteration 20: (EM) log likelihood = -29580.233
Iteration 21: (EM) log likelihood = -29503.124
Iteration 22: (EM) log likelihood = -29431.173
Iteration 23: (EM) log likelihood = -29367.05
Iteration 24: (EM) log likelihood = -29311.79
Iteration 25: (EM) log likelihood = -29261.403
Iteration 26: (EM) log likelihood = -29218.219
Iteration 27: (EM) log likelihood = -29180.525
Iteration 28: (EM) log likelihood = -29147.422
Iteration 29: (EM) log likelihood = -29118.071
Iteration 30: (EM) log likelihood = -29091.397
Iteration 31: (EM) log likelihood = -29068.177
Iteration 32: (EM) log likelihood = -29047.215
Iteration 33: (EM) log likelihood = -29027.694
Iteration 34: (EM) log likelihood = -29008.678
Iteration 35: (EM) log likelihood = -28992.304
Iteration 36: (EM) log likelihood = -28978.326
Iteration 37: (EM) log likelihood = -28965.174
Iteration 38: (EM) log likelihood = -28953.249
Iteration 39: (EM) log likelihood = -28942.426
Iteration 40: (EM) log likelihood = -28932.117
Iteration 41: (EM) log likelihood = -28922.636
Iteration 42: (EM) log likelihood = -28913.75
Iteration 43: (EM) log likelihood = -28905.508
Iteration 44: (EM) log likelihood = -28897.438
Iteration 45: (EM) log likelihood = -28889.761
Iteration 46: (EM) log likelihood = -28882.179
Iteration 47: (EM) log likelihood = -28874.65
Iteration 48: (EM) log likelihood = -28866.81
Iteration 49: (EM) log likelihood = -28858.463
Iteration 50: (EM) log likelihood = -28849.39
Iteration 51: (EM) log likelihood = -28839.448
Iteration 52: (EM) log likelihood = -28828.795
Iteration 53: (EM) log likelihood = -28818.248
Iteration 54: (EM) log likelihood = -28808.216
Iteration 55: (EM) log likelihood = -28798.727
Iteration 56: (EM) log likelihood = -28790.056
Iteration 57: (EM) log likelihood = -28782.161
Iteration 58: (EM) log likelihood = -28775.098
Iteration 59: (EM) log likelihood = -28768.659
Iteration 60: (EM) log likelihood = -28762.893
Iteration 61: (EM) log likelihood = -28757.624
Iteration 62: (EM) log likelihood = -28752.737
Iteration 63: (EM) log likelihood = -28748.236
Iteration 64: (EM) log likelihood = -28744.198
Iteration 65: (EM) log likelihood = -28740.405
Iteration 66: (EM) log likelihood = -28736.708
Iteration 67: (EM) log likelihood = -28733.558
Iteration 68: (EM) log likelihood = -28730.588
Iteration 69: (EM) log likelihood = -28727.838
Iteration 70: (EM) log likelihood = -28725.275
Iteration 71: (EM) log likelihood = -28722.693
Iteration 72: (EM) log likelihood = -28720.367
Iteration 73: (EM) log likelihood = -28718.128
Iteration 74: (EM) log likelihood = -28716.012
Iteration 75: (EM) log likelihood = -28713.832
Iteration 76: (EM) log likelihood = -28711.763
Iteration 77: (EM) log likelihood = -28709.792
Iteration 78: (EM) log likelihood = -28707.872
Iteration 79: (EM) log likelihood = -28705.992
Iteration 80: (EM) log likelihood = -28704.227
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.5426
Iteration 1: (class) log likelihood = -6787.5426
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29926.834
Iteration 1: (outcome) log likelihood = -29239.482
Iteration 2: (outcome) log likelihood = -29143.207
Iteration 3: (outcome) log likelihood = -29121.311
Iteration 4: (outcome) log likelihood = -29116.419
Iteration 5: (outcome) log likelihood = -29115.304
Iteration 6: (outcome) log likelihood = -29115.06
Iteration 7: (outcome) log likelihood = -29115.025
Iteration 8: (outcome) log likelihood = -29115.02
Iteration 9: (outcome) log likelihood = -29115.019
Iteration 10: (outcome) log likelihood = -29115.019
Iteration 11: (outcome) log likelihood = -29115.019
Iteration 12: (outcome) log likelihood = -29115.019
Refining starting values:
Iteration 0: (EM) log likelihood = -35878.635
Iteration 1: (EM) log likelihood = -35796.328
Iteration 2: (EM) log likelihood = -35550.99
Iteration 3: (EM) log likelihood = -34965.078
Iteration 4: (EM) log likelihood = -34033.069
Iteration 5: (EM) log likelihood = -33032.951
Iteration 6: (EM) log likelihood = -32127.973
Iteration 7: (EM) log likelihood = -31390.082
Iteration 8: (EM) log likelihood = -30857.932
Iteration 9: (EM) log likelihood = -30473.652
Iteration 10: (EM) log likelihood = -30175.501
Iteration 11: (EM) log likelihood = -29941.361
Iteration 12: (EM) log likelihood = -29757.737
Iteration 13: (EM) log likelihood = -29608.952
Iteration 14: (EM) log likelihood = -29484.125
Iteration 15: (EM) log likelihood = -29376.922
Iteration 16: (EM) log likelihood = -29282.519
Iteration 17: (EM) log likelihood = -29204.552
Iteration 18: (EM) log likelihood = -29143.044
Iteration 19: (EM) log likelihood = -29098.019
Iteration 20: (EM) log likelihood = -29064.19
Iteration 21: (EM) log likelihood = -29039.625
Iteration 22: (EM) log likelihood = -29019.125
Iteration 23: (EM) log likelihood = -29002.558
Iteration 24: (EM) log likelihood = -28986.621
Iteration 25: (EM) log likelihood = -28972.51
Iteration 26: (EM) log likelihood = -28957.562
Iteration 27: (EM) log likelihood = -28940.776
Iteration 28: (EM) log likelihood = -28924.419
Iteration 29: (EM) log likelihood = -28906.88
Iteration 30: (EM) log likelihood = -28891.613
Iteration 31: (EM) log likelihood = -28877.439
Iteration 32: (EM) log likelihood = -28863.234
Iteration 33: (EM) log likelihood = -28850.705
Iteration 34: (EM) log likelihood = -28838.54
Iteration 35: (EM) log likelihood = -28828.151
Iteration 36: (EM) log likelihood = -28817.738
Iteration 37: (EM) log likelihood = -28808.614
Iteration 38: (EM) log likelihood = -28799.593
Iteration 39: (EM) log likelihood = -28789.499
Iteration 40: (EM) log likelihood = -28780.06
Iteration 41: (EM) log likelihood = -28771.225
Iteration 42: (EM) log likelihood = -28763.254
Iteration 43: (EM) log likelihood = -28758.226
Iteration 44: (EM) log likelihood = -28751.1
Iteration 45: (EM) log likelihood = -28743.131
Iteration 46: (EM) log likelihood = -28735.798
Iteration 47: (EM) log likelihood = -28728.686
Iteration 48: (EM) log likelihood = -28722.213
Iteration 49: (EM) log likelihood = -28716.773
Iteration 50: (EM) log likelihood = -28708.047
Iteration 51: (EM) log likelihood = -28703.079
Iteration 52: (EM) log likelihood = -28696.421
Iteration 53: (EM) log likelihood = -28690.485
Iteration 54: (EM) log likelihood = -28686.398
Iteration 55: (EM) log likelihood = -28682.022
Iteration 56: (EM) log likelihood = -28678.193
Iteration 57: (EM) log likelihood = -28674.594
Iteration 58: (EM) log likelihood = -28669.633
Iteration 59: (EM) log likelihood = -28665.056
Iteration 60: (EM) log likelihood = -28662.642
Iteration 61: (EM) log likelihood = -28659.451
Iteration 62: (EM) log likelihood = -28655.75
Iteration 63: (EM) log likelihood = -28652.786
Iteration 64: (EM) log likelihood = -28649.986
Iteration 65: (EM) log likelihood = -28647.277
Iteration 66: (EM) log likelihood = -28645.427
Iteration 67: (EM) log likelihood = -28642.751
Iteration 68: (EM) log likelihood = -28639.625
Iteration 69: (EM) log likelihood = -28637.534
Iteration 70: (EM) log likelihood = -28636.55
Iteration 71: (EM) log likelihood = -28634.512
Iteration 72: (EM) log likelihood = -28632.374
Iteration 73: (EM) log likelihood = -28630.359
Iteration 74: (EM) log likelihood = -28628.553
Iteration 75: (EM) log likelihood = -28626.402
Iteration 76: (EM) log likelihood = -28624.814
Iteration 77: (EM) log likelihood = -28623.437
Iteration 78: (EM) log likelihood = -28621.768
Iteration 79: (EM) log likelihood = -28619.91
Iteration 80: (EM) log likelihood = -28618.369
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6788.3029
Iteration 1: (class) log likelihood = -6788.3029
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29534.6
Iteration 1: (outcome) log likelihood = -29242.36
Iteration 2: (outcome) log likelihood = -29149.116
Iteration 3: (outcome) log likelihood = -29134.902
Iteration 4: (outcome) log likelihood = -29131.489
Iteration 5: (outcome) log likelihood = -29130.811
Iteration 6: (outcome) log likelihood = -29130.687
Iteration 7: (outcome) log likelihood = -29130.675
Iteration 8: (outcome) log likelihood = -29130.672
Iteration 9: (outcome) log likelihood = -29130.672
Iteration 10: (outcome) log likelihood = -29130.672
Iteration 11: (outcome) log likelihood = -29130.672
Refining starting values:
Iteration 0: (EM) log likelihood = -35909.753
Iteration 1: (EM) log likelihood = -35862.455
Iteration 2: (EM) log likelihood = -35689.072
Iteration 3: (EM) log likelihood = -35183.78
Iteration 4: (EM) log likelihood = -34277.572
Iteration 5: (EM) log likelihood = -33360.055
Iteration 6: (EM) log likelihood = -32657.381
Iteration 7: (EM) log likelihood = -32079.847
Iteration 8: (EM) log likelihood = -31569.856
Iteration 9: (EM) log likelihood = -31143.949
Iteration 10: (EM) log likelihood = -30821.246
Iteration 11: (EM) log likelihood = -30593.583
Iteration 12: (EM) log likelihood = -30430.715
Iteration 13: (EM) log likelihood = -30304.08
Iteration 14: (EM) log likelihood = -30189.762
Iteration 15: (EM) log likelihood = -30081.527
Iteration 16: (EM) log likelihood = -29975.43
Iteration 17: (EM) log likelihood = -29872.499
Iteration 18: (EM) log likelihood = -29782.715
Iteration 19: (EM) log likelihood = -29708.182
Iteration 20: (EM) log likelihood = -29646.847
Iteration 21: (EM) log likelihood = -29598.182
Iteration 22: (EM) log likelihood = -29555.653
Iteration 23: (EM) log likelihood = -29521.081
Iteration 24: (EM) log likelihood = -29489.807
Iteration 25: (EM) log likelihood = -29463.786
Iteration 26: (EM) log likelihood = -29437.821
Iteration 27: (EM) log likelihood = -29414.068
Iteration 28: (EM) log likelihood = -29390.256
Iteration 29: (EM) log likelihood = -29366.997
Iteration 30: (EM) log likelihood = -29344.664
Iteration 31: (EM) log likelihood = -29321.023
Iteration 32: (EM) log likelihood = -29296.86
Iteration 33: (EM) log likelihood = -29271.516
Iteration 34: (EM) log likelihood = -29244.419
Iteration 35: (EM) log likelihood = -29216.363
Iteration 36: (EM) log likelihood = -29186.89
Iteration 37: (EM) log likelihood = -29156.504
Iteration 38: (EM) log likelihood = -29122.904
Iteration 39: (EM) log likelihood = -29088.415
Iteration 40: (EM) log likelihood = -29053.621
Iteration 41: (EM) log likelihood = -29018.125
Iteration 42: (EM) log likelihood = -28982.354
Iteration 43: (EM) log likelihood = -28944.466
Iteration 44: (EM) log likelihood = -28907.203
Iteration 45: (EM) log likelihood = -28871.239
Iteration 46: (EM) log likelihood = -28837.003
Iteration 47: (EM) log likelihood = -28803.16
Iteration 48: (EM) log likelihood = -28772.638
Iteration 49: (EM) log likelihood = -28743.722
Iteration 50: (EM) log likelihood = -28719.118
Iteration 51: (EM) log likelihood = -28694.61
Iteration 52: (EM) log likelihood = -28674.302
Iteration 53: (EM) log likelihood = -28654.514
Iteration 54: (EM) log likelihood = -28637.582
Iteration 55: (EM) log likelihood = -28621.233
Iteration 56: (EM) log likelihood = -28607.856
Iteration 57: (EM) log likelihood = -28593.771
Iteration 58: (EM) log likelihood = -28581.521
Iteration 59: (EM) log likelihood = -28568.17
Iteration 60: (EM) log likelihood = -28556.126
Iteration 61: (EM) log likelihood = -28544.181
Iteration 62: (EM) log likelihood = -28532.975
Iteration 63: (EM) log likelihood = -28523.202
Iteration 64: (EM) log likelihood = -28514.175
Iteration 65: (EM) log likelihood = -28505.345
Iteration 66: (EM) log likelihood = -28496.998
Iteration 67: (EM) log likelihood = -28492.154
Iteration 68: (EM) log likelihood = -28487.582
Iteration 69: (EM) log likelihood = -28483.149
Iteration 70: (EM) log likelihood = -28479.697
Iteration 71: (EM) log likelihood = -28477.765
Iteration 72: (EM) log likelihood = -28472.384
Iteration 73: (EM) log likelihood = -28468.98
Iteration 74: (EM) log likelihood = -28464.285
Iteration 75: (EM) log likelihood = -28458.27
Iteration 76: (EM) log likelihood = -28452.87
Iteration 77: (EM) log likelihood = -28446.31
Iteration 78: (EM) log likelihood = -28439.664
Iteration 79: (EM) log likelihood = -28430.892
Iteration 80: (EM) log likelihood = -28424.564
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.9388
Iteration 1: (class) log likelihood = -6787.9388
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29691.351
Iteration 1: (outcome) log likelihood = -29240.004
Iteration 2: (outcome) log likelihood = -29136.18
Iteration 3: (outcome) log likelihood = -29119.437
Iteration 4: (outcome) log likelihood = -29115.439
Iteration 5: (outcome) log likelihood = -29114.601
Iteration 6: (outcome) log likelihood = -29114.426
Iteration 7: (outcome) log likelihood = -29114.386
Iteration 8: (outcome) log likelihood = -29114.376
Iteration 9: (outcome) log likelihood = -29114.375
Iteration 10: (outcome) log likelihood = -29114.374
Iteration 11: (outcome) log likelihood = -29114.374
Iteration 12: (outcome) log likelihood = -29114.374
Refining starting values:
Iteration 0: (EM) log likelihood = -35859.783
Iteration 1: (EM) log likelihood = -35688.234
Iteration 2: (EM) log likelihood = -35146.689
Iteration 3: (EM) log likelihood = -34089.027
Iteration 4: (EM) log likelihood = -33041.922
Iteration 5: (EM) log likelihood = -32352.49
Iteration 6: (EM) log likelihood = -31890.43
Iteration 7: (EM) log likelihood = -31550.79
Iteration 8: (EM) log likelihood = -31274.727
Iteration 9: (EM) log likelihood = -31040.358
Iteration 10: (EM) log likelihood = -30810.429
Iteration 11: (EM) log likelihood = -30572.842
Iteration 12: (EM) log likelihood = -30346.356
Iteration 13: (EM) log likelihood = -30148.105
Iteration 14: (EM) log likelihood = -29989.97
Iteration 15: (EM) log likelihood = -29865.905
Iteration 16: (EM) log likelihood = -29762.494
Iteration 17: (EM) log likelihood = -29671.771
Iteration 18: (EM) log likelihood = -29589.247
Iteration 19: (EM) log likelihood = -29509.221
Iteration 20: (EM) log likelihood = -29427.091
Iteration 21: (EM) log likelihood = -29337.85
Iteration 22: (EM) log likelihood = -29251.03
Iteration 23: (EM) log likelihood = -29170.784
Iteration 24: (EM) log likelihood = -29098.061
Iteration 25: (EM) log likelihood = -29030.98
Iteration 26: (EM) log likelihood = -28967.525
Iteration 27: (EM) log likelihood = -28907.386
Iteration 28: (EM) log likelihood = -28853.156
Iteration 29: (EM) log likelihood = -28803.998
Iteration 30: (EM) log likelihood = -28759.043
Iteration 31: (EM) log likelihood = -28720.509
Iteration 32: (EM) log likelihood = -28686.398
Iteration 33: (EM) log likelihood = -28656.002
Iteration 34: (EM) log likelihood = -28628.304
Iteration 35: (EM) log likelihood = -28602.625
Iteration 36: (EM) log likelihood = -28580.569
Iteration 37: (EM) log likelihood = -28562.41
Iteration 38: (EM) log likelihood = -28541.692
Iteration 39: (EM) log likelihood = -28526.319
Iteration 40: (EM) log likelihood = -28511.71
Iteration 41: (EM) log likelihood = -28497.487
Iteration 42: (EM) log likelihood = -28484.999
Iteration 43: (EM) log likelihood = -28474.727
Iteration 44: (EM) log likelihood = -28463.241
Iteration 45: (EM) log likelihood = -28453.39
Iteration 46: (EM) log likelihood = -28443.503
Iteration 47: (EM) log likelihood = -28434.663
Iteration 48: (EM) log likelihood = -28429.548
Iteration 49: (EM) log likelihood = -28422.856
Iteration 50: (EM) log likelihood = -28415.871
Iteration 51: (EM) log likelihood = -28409.048
Iteration 52: (EM) log likelihood = -28402.459
Iteration 53: (EM) log likelihood = -28393.648
Iteration 54: (EM) log likelihood = -28390.541
Iteration 55: (EM) log likelihood = -28386.009
Iteration 56: (EM) log likelihood = -28381.244
Iteration 57: (EM) log likelihood = -28377.015
Iteration 58: (EM) log likelihood = -28371.603
Iteration 59: (EM) log likelihood = -28366.256
Iteration 60: (EM) log likelihood = -28361.955
Iteration 61: (EM) log likelihood = -28356.244
Iteration 62: (EM) log likelihood = -28351.215
Iteration 63: (EM) log likelihood = -28347.398
Iteration 64: (EM) log likelihood = -28341.576
Iteration 65: (EM) log likelihood = -28337.198
Iteration 66: (EM) log likelihood = -28332.349
Iteration 67: (EM) log likelihood = -28327.487
Iteration 68: (EM) log likelihood = -28322.932
Iteration 69: (EM) log likelihood = -28314.891
Iteration 70: (EM) log likelihood = -28310.929
Iteration 71: (EM) log likelihood = -28306.541
Iteration 72: (EM) log likelihood = -28302.771
Iteration 73: (EM) log likelihood = -28299.078
Iteration 74: (EM) log likelihood = -28292.394
Iteration 75: (EM) log likelihood = -28288.765
Iteration 76: (EM) log likelihood = -28284.232
Iteration 77: (EM) log likelihood = -28280.361
Iteration 78: (EM) log likelihood = -28276.53
Iteration 79: (EM) log likelihood = -28273.523
Iteration 80: (EM) log likelihood = -28269.842
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.5759
Iteration 1: (class) log likelihood = -6787.5759
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29119.092
Iteration 1: (outcome) log likelihood = -29119.092
Refining starting values:
Iteration 0: (EM) log likelihood = -35883.926
Iteration 1: (EM) log likelihood = -35759.343
Iteration 2: (EM) log likelihood = -35245.864
Iteration 3: (EM) log likelihood = -34120.236
Iteration 4: (EM) log likelihood = -33158.687
Iteration 5: (EM) log likelihood = -32642.26
Iteration 6: (EM) log likelihood = -32316.459
Iteration 7: (EM) log likelihood = -32027.078
Iteration 8: (EM) log likelihood = -31726.622
Iteration 9: (EM) log likelihood = -31424.075
Iteration 10: (EM) log likelihood = -31143.032
Iteration 11: (EM) log likelihood = -30904.812
Iteration 12: (EM) log likelihood = -30721.779
Iteration 13: (EM) log likelihood = -30586.739
Iteration 14: (EM) log likelihood = -30482.229
Iteration 15: (EM) log likelihood = -30400.586
Iteration 16: (EM) log likelihood = -30330.442
Iteration 17: (EM) log likelihood = -30267.939
Iteration 18: (EM) log likelihood = -30210.177
Iteration 19: (EM) log likelihood = -30153.441
Iteration 20: (EM) log likelihood = -30088.285
Iteration 21: (EM) log likelihood = -30017.14
Iteration 22: (EM) log likelihood = -29932.812
Iteration 23: (EM) log likelihood = -29838.854
Iteration 24: (EM) log likelihood = -29737.795
Iteration 25: (EM) log likelihood = -29637.107
Iteration 26: (EM) log likelihood = -29539.235
Iteration 27: (EM) log likelihood = -29447.873
Iteration 28: (EM) log likelihood = -29362.975
Iteration 29: (EM) log likelihood = -29282.79
Iteration 30: (EM) log likelihood = -29205.857
Iteration 31: (EM) log likelihood = -29132.45
Iteration 32: (EM) log likelihood = -29061.235
Iteration 33: (EM) log likelihood = -28993.506
Iteration 34: (EM) log likelihood = -28932.992
Iteration 35: (EM) log likelihood = -28876.382
Iteration 36: (EM) log likelihood = -28826.846
Iteration 37: (EM) log likelihood = -28782.587
Iteration 38: (EM) log likelihood = -28743.541
Iteration 39: (EM) log likelihood = -28709.072
Iteration 40: (EM) log likelihood = -28678.145
Iteration 41: (EM) log likelihood = -28650.54
Iteration 42: (EM) log likelihood = -28627.712
Iteration 43: (EM) log likelihood = -28607.275
Iteration 44: (EM) log likelihood = -28588.746
Iteration 45: (EM) log likelihood = -28569.231
Iteration 46: (EM) log likelihood = -28554.44
Iteration 47: (EM) log likelihood = -28540.789
Iteration 48: (EM) log likelihood = -28528.11
Iteration 49: (EM) log likelihood = -28516.054
Iteration 50: (EM) log likelihood = -28505.31
Iteration 51: (EM) log likelihood = -28494.624
Iteration 52: (EM) log likelihood = -28483.808
Iteration 53: (EM) log likelihood = -28473.019
Iteration 54: (EM) log likelihood = -28461.468
Iteration 55: (EM) log likelihood = -28449.741
Iteration 56: (EM) log likelihood = -28436.108
Iteration 57: (EM) log likelihood = -28422.939
Iteration 58: (EM) log likelihood = -28409.797
Iteration 59: (EM) log likelihood = -28396.452
Iteration 60: (EM) log likelihood = -28384.442
Iteration 61: (EM) log likelihood = -28372.583
Iteration 62: (EM) log likelihood = -28360.364
Iteration 63: (EM) log likelihood = -28348.813
Iteration 64: (EM) log likelihood = -28337.823
Iteration 65: (EM) log likelihood = -28327.174
Iteration 66: (EM) log likelihood = -28317.346
Iteration 67: (EM) log likelihood = -28308.526
Iteration 68: (EM) log likelihood = -28300.177
Iteration 69: (EM) log likelihood = -28292.407
Iteration 70: (EM) log likelihood = -28286.242
Iteration 71: (EM) log likelihood = -28280.43
Iteration 72: (EM) log likelihood = -28274.236
Iteration 73: (EM) log likelihood = -28268.603
Iteration 74: (EM) log likelihood = -28264.393
Iteration 75: (EM) log likelihood = -28259.889
Iteration 76: (EM) log likelihood = -28255.37
Iteration 77: (EM) log likelihood = -28251.495
Iteration 78: (EM) log likelihood = -28248.884
Iteration 79: (EM) log likelihood = -28245.662
Iteration 80: (EM) log likelihood = -28243.637
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6787.7149
Iteration 1: (class) log likelihood = -6787.7149
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29331.402
Iteration 1: (outcome) log likelihood = -29134.945
Iteration 2: (outcome) log likelihood = -29116.005
Iteration 3: (outcome) log likelihood = -29111.478
Iteration 4: (outcome) log likelihood = -29110.604
Iteration 5: (outcome) log likelihood = -29110.391
Iteration 6: (outcome) log likelihood = -29110.356
Iteration 7: (outcome) log likelihood = -29110.348
Iteration 8: (outcome) log likelihood = -29110.346
Iteration 9: (outcome) log likelihood = -29110.346
Iteration 10: (outcome) log likelihood = -29110.346
Iteration 11: (outcome) log likelihood = -29110.346
Refining starting values:
Iteration 0: (EM) log likelihood = -35870.827
Iteration 1: (EM) log likelihood = -35768.899
Iteration 2: (EM) log likelihood = -35420.143
Iteration 3: (EM) log likelihood = -34482.02
Iteration 4: (EM) log likelihood = -33215.009
Iteration 5: (EM) log likelihood = -32371.699
Iteration 6: (EM) log likelihood = -31851.45
Iteration 7: (EM) log likelihood = -31436.698
Iteration 8: (EM) log likelihood = -31077.133
Iteration 9: (EM) log likelihood = -30790.217
Iteration 10: (EM) log likelihood = -30577.193
Iteration 11: (EM) log likelihood = -30405.753
Iteration 12: (EM) log likelihood = -30256.162
Iteration 13: (EM) log likelihood = -30122.087
Iteration 14: (EM) log likelihood = -30000.627
Iteration 15: (EM) log likelihood = -29890.154
Iteration 16: (EM) log likelihood = -29787.709
Iteration 17: (EM) log likelihood = -29691.638
Iteration 18: (EM) log likelihood = -29601.473
Iteration 19: (EM) log likelihood = -29515.507
Iteration 20: (EM) log likelihood = -29435.665
Iteration 21: (EM) log likelihood = -29362.337
Iteration 22: (EM) log likelihood = -29295.261
Iteration 23: (EM) log likelihood = -29235.725
Iteration 24: (EM) log likelihood = -29182.587
Iteration 25: (EM) log likelihood = -29136.792
Iteration 26: (EM) log likelihood = -29095.107
Iteration 27: (EM) log likelihood = -29059.69
Iteration 28: (EM) log likelihood = -29027.569
Iteration 29: (EM) log likelihood = -28998.986
Iteration 30: (EM) log likelihood = -28973.311
Iteration 31: (EM) log likelihood = -28949.159
Iteration 32: (EM) log likelihood = -28926.452
Iteration 33: (EM) log likelihood = -28904.406
Iteration 34: (EM) log likelihood = -28883.081
Iteration 35: (EM) log likelihood = -28862.177
Iteration 36: (EM) log likelihood = -28841.274
Iteration 37: (EM) log likelihood = -28821.156
Iteration 38: (EM) log likelihood = -28800.557
Iteration 39: (EM) log likelihood = -28778.713
Iteration 40: (EM) log likelihood = -28757.668
Iteration 41: (EM) log likelihood = -28737.1
Iteration 42: (EM) log likelihood = -28717.117
Iteration 43: (EM) log likelihood = -28696.843
Iteration 44: (EM) log likelihood = -28677.598
Iteration 45: (EM) log likelihood = -28658.297
Iteration 46: (EM) log likelihood = -28637.624
Iteration 47: (EM) log likelihood = -28618.066
Iteration 48: (EM) log likelihood = -28598.876
Iteration 49: (EM) log likelihood = -28581.482
Iteration 50: (EM) log likelihood = -28563.747
Iteration 51: (EM) log likelihood = -28546.009
Iteration 52: (EM) log likelihood = -28528.767
Iteration 53: (EM) log likelihood = -28511.835
Iteration 54: (EM) log likelihood = -28494.444
Iteration 55: (EM) log likelihood = -28478.88
Iteration 56: (EM) log likelihood = -28462.171
Iteration 57: (EM) log likelihood = -28445.389
Iteration 58: (EM) log likelihood = -28428.375
Iteration 59: (EM) log likelihood = -28412.195
Iteration 60: (EM) log likelihood = -28397.063
Iteration 61: (EM) log likelihood = -28380.102
Iteration 62: (EM) log likelihood = -28366.415
Iteration 63: (EM) log likelihood = -28353.288
Iteration 64: (EM) log likelihood = -28339.497
Iteration 65: (EM) log likelihood = -28328.029
Iteration 66: (EM) log likelihood = -28316.361
Iteration 67: (EM) log likelihood = -28306.054
Iteration 68: (EM) log likelihood = -28297.994
Iteration 69: (EM) log likelihood = -28289.694
Iteration 70: (EM) log likelihood = -28281.959
Iteration 71: (EM) log likelihood = -28275.734
Iteration 72: (EM) log likelihood = -28272.543
Iteration 73: (EM) log likelihood = -28269.262
Iteration 74: (EM) log likelihood = -28265.527
Iteration 75: (EM) log likelihood = -28262.386
Iteration 76: (EM) log likelihood = -28258.84
Iteration 77: (EM) log likelihood = -28256.446
Iteration 78: (EM) log likelihood = -28257.427
Iteration 79: (EM) log likelihood = -28254.257
Iteration 80: (EM) log likelihood = -28252.142
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6781.4881
Iteration 1: (class) log likelihood = -6781.4881
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29517.999
Iteration 1: (outcome) log likelihood = -29187.631
Iteration 2: (outcome) log likelihood = -29121.565
Iteration 3: (outcome) log likelihood = -29106.697
Iteration 4: (outcome) log likelihood = -29104.117
Iteration 5: (outcome) log likelihood = -29103.54
Iteration 6: (outcome) log likelihood = -29103.395
Iteration 7: (outcome) log likelihood = -29103.367
Iteration 8: (outcome) log likelihood = -29103.362
Iteration 9: (outcome) log likelihood = -29103.361
Iteration 10: (outcome) log likelihood = -29103.361
Iteration 11: (outcome) log likelihood = -29103.361
Iteration 12: (outcome) log likelihood = -29103.361
Refining starting values:
Iteration 0: (EM) log likelihood = -35858.438
Iteration 1: (EM) log likelihood = -35747.939
Iteration 2: (EM) log likelihood = -35406.606
Iteration 3: (EM) log likelihood = -34671.18
Iteration 4: (EM) log likelihood = -33682.809
Iteration 5: (EM) log likelihood = -32737.854
Iteration 6: (EM) log likelihood = -31932.359
Iteration 7: (EM) log likelihood = -31288.732
Iteration 8: (EM) log likelihood = -30791.254
Iteration 9: (EM) log likelihood = -30430.09
Iteration 10: (EM) log likelihood = -30164.946
Iteration 11: (EM) log likelihood = -29948.586
Iteration 12: (EM) log likelihood = -29771.165
Iteration 13: (EM) log likelihood = -29632.553
Iteration 14: (EM) log likelihood = -29527.042
Iteration 15: (EM) log likelihood = -29447.882
Iteration 16: (EM) log likelihood = -29382.525
Iteration 17: (EM) log likelihood = -29325.662
Iteration 18: (EM) log likelihood = -29276.305
Iteration 19: (EM) log likelihood = -29231.956
Iteration 20: (EM) log likelihood = -29191.853
Iteration 21: (EM) log likelihood = -29158.062
Iteration 22: (EM) log likelihood = -29128.687
Iteration 23: (EM) log likelihood = -29101.693
Iteration 24: (EM) log likelihood = -29075.983
Iteration 25: (EM) log likelihood = -29053.012
Iteration 26: (EM) log likelihood = -29029.127
Iteration 27: (EM) log likelihood = -29007.879
Iteration 28: (EM) log likelihood = -28989.576
Iteration 29: (EM) log likelihood = -28973.641
Iteration 30: (EM) log likelihood = -28958.394
Iteration 31: (EM) log likelihood = -28945.721
Iteration 32: (EM) log likelihood = -28934.044
Iteration 33: (EM) log likelihood = -28922.393
Iteration 34: (EM) log likelihood = -28911.093
Iteration 35: (EM) log likelihood = -28899.819
Iteration 36: (EM) log likelihood = -28892.028
Iteration 37: (EM) log likelihood = -28882.199
Iteration 38: (EM) log likelihood = -28873.125
Iteration 39: (EM) log likelihood = -28862.817
Iteration 40: (EM) log likelihood = -28853.397
Iteration 41: (EM) log likelihood = -28843.535
Iteration 42: (EM) log likelihood = -28832.448
Iteration 43: (EM) log likelihood = -28820.683
Iteration 44: (EM) log likelihood = -28810.676
Iteration 45: (EM) log likelihood = -28800.182
Iteration 46: (EM) log likelihood = -28789.814
Iteration 47: (EM) log likelihood = -28779.215
Iteration 48: (EM) log likelihood = -28769.094
Iteration 49: (EM) log likelihood = -28758.41
Iteration 50: (EM) log likelihood = -28748.732
Iteration 51: (EM) log likelihood = -28742.541
Iteration 52: (EM) log likelihood = -28733.385
Iteration 53: (EM) log likelihood = -28721.417
Iteration 54: (EM) log likelihood = -28710.42
Iteration 55: (EM) log likelihood = -28699.718
Iteration 56: (EM) log likelihood = -28689.751
Iteration 57: (EM) log likelihood = -28680.187
Iteration 58: (EM) log likelihood = -28670.684
Iteration 59: (EM) log likelihood = -28661.541
Iteration 60: (EM) log likelihood = -28652.466
Iteration 61: (EM) log likelihood = -28643.387
Iteration 62: (EM) log likelihood = -28636.085
Iteration 63: (EM) log likelihood = -28625.732
Iteration 64: (EM) log likelihood = -28616.22
Iteration 65: (EM) log likelihood = -28608.537
Iteration 66: (EM) log likelihood = -28600.906
Iteration 67: (EM) log likelihood = -28592.369
Iteration 68: (EM) log likelihood = -28583.777
Iteration 69: (EM) log likelihood = -28575.401
Iteration 70: (EM) log likelihood = -28566.881
Iteration 71: (EM) log likelihood = -28559.659
Iteration 72: (EM) log likelihood = -28552.742
Iteration 73: (EM) log likelihood = -28545.746
Iteration 74: (EM) log likelihood = -28540.31
Iteration 75: (EM) log likelihood = -28532.195
Iteration 76: (EM) log likelihood = -28525.115
Iteration 77: (EM) log likelihood = -28520.758
Iteration 78: (EM) log likelihood = -28514.546
Iteration 79: (EM) log likelihood = -28508.709
Iteration 80: (EM) log likelihood = -28503.106
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -6785.5829
Iteration 1: (class) log likelihood = -6785.5829
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30458.235
Iteration 1: (outcome) log likelihood = -29346.999
Iteration 2: (outcome) log likelihood = -29162.075
Iteration 3: (outcome) log likelihood = -29125.017
Iteration 4: (outcome) log likelihood = -29117.62
Iteration 5: (outcome) log likelihood = -29115.994
Iteration 6: (outcome) log likelihood = -29115.635
Iteration 7: (outcome) log likelihood = -29115.547
Iteration 8: (outcome) log likelihood = -29115.529
Iteration 9: (outcome) log likelihood = -29115.525
Iteration 10: (outcome) log likelihood = -29115.524
Iteration 11: (outcome) log likelihood = -29115.524
Iteration 12: (outcome) log likelihood = -29115.524
Iteration 13: (outcome) log likelihood = -29115.524
Refining starting values:
Iteration 0: (EM) log likelihood = -35868.276
Iteration 1: (EM) log likelihood = -35747.441
Iteration 2: (EM) log likelihood = -35389.682
Iteration 3: (EM) log likelihood = -34665.333
Iteration 4: (EM) log likelihood = -33735.491
Iteration 5: (EM) log likelihood = -32838.892
Iteration 6: (EM) log likelihood = -32078.896
Iteration 7: (EM) log likelihood = -31518.843
Iteration 8: (EM) log likelihood = -31151.942
Iteration 9: (EM) log likelihood = -30904.432
Iteration 10: (EM) log likelihood = -30710.68
Iteration 11: (EM) log likelihood = -30538.746
Iteration 12: (EM) log likelihood = -30377.109
Iteration 13: (EM) log likelihood = -30221.535
Iteration 14: (EM) log likelihood = -30074.517
Iteration 15: (EM) log likelihood = -29937.599
Iteration 16: (EM) log likelihood = -29816.205
Iteration 17: (EM) log likelihood = -29709.987
Iteration 18: (EM) log likelihood = -29619.845
Iteration 19: (EM) log likelihood = -29542.348
Iteration 20: (EM) log likelihood = -29475.661
Iteration 21: (EM) log likelihood = -29415.766
Iteration 22: (EM) log likelihood = -29359.896
Iteration 23: (EM) log likelihood = -29308.192
Iteration 24: (EM) log likelihood = -29259.697
Iteration 25: (EM) log likelihood = -29214.68
Iteration 26: (EM) log likelihood = -29172.704
Iteration 27: (EM) log likelihood = -29132.562
Iteration 28: (EM) log likelihood = -29095.203
Iteration 29: (EM) log likelihood = -29061.788
Iteration 30: (EM) log likelihood = -29033.192
Iteration 31: (EM) log likelihood = -29009.78
Iteration 32: (EM) log likelihood = -28991.438
Iteration 33: (EM) log likelihood = -28975.801
Iteration 34: (EM) log likelihood = -28962.686
Iteration 35: (EM) log likelihood = -28950.922
Iteration 36: (EM) log likelihood = -28943.035
Iteration 37: (EM) log likelihood = -28936.852
Iteration 38: (EM) log likelihood = -28931.572
Iteration 39: (EM) log likelihood = -28925.693
Iteration 40: (EM) log likelihood = -28919.843
Iteration 41: (EM) log likelihood = -28914.68
Iteration 42: (EM) log likelihood = -28909.609
Iteration 43: (EM) log likelihood = -28904.912
Iteration 44: (EM) log likelihood = -28899.697
Iteration 45: (EM) log likelihood = -28896.066
Iteration 46: (EM) log likelihood = -28889.477
Iteration 47: (EM) log likelihood = -28884.058
Iteration 48: (EM) log likelihood = -28877.779
Iteration 49: (EM) log likelihood = -28871.355
Iteration 50: (EM) log likelihood = -28866.324
Iteration 51: (EM) log likelihood = -28858.663
Iteration 52: (EM) log likelihood = -28854.795
Iteration 53: (EM) log likelihood = -28847.199
Iteration 54: (EM) log likelihood = -28838.658
Iteration 55: (EM) log likelihood = -28830.639
Iteration 56: (EM) log likelihood = -28823.413
Iteration 57: (EM) log likelihood = -28815.977
Iteration 58: (EM) log likelihood = -28807.151
Iteration 59: (EM) log likelihood = -28801.085
Iteration 60: (EM) log likelihood = -28793.85
Iteration 61: (EM) log likelihood = -28786.286
Iteration 62: (EM) log likelihood = -28778.8
Iteration 63: (EM) log likelihood = -28771.319
Iteration 64: (EM) log likelihood = -28757.263
Iteration 65: (EM) log likelihood = -28750.63
Iteration 66: (EM) log likelihood = -28741.598
Iteration 67: (EM) log likelihood = -28734.934
Iteration 68: (EM) log likelihood = -28726.889
Iteration 69: (EM) log likelihood = -28720.265
Iteration 70: (EM) log likelihood = -28714.78
Iteration 71: (EM) log likelihood = -28705.015
Iteration 72: (EM) log likelihood = -28698.483
Iteration 73: (EM) log likelihood = -28692.534
Iteration 74: (EM) log likelihood = -28686.798
Iteration 75: (EM) log likelihood = -28680.407
Iteration 76: (EM) log likelihood = -28676.547
Iteration 77: (EM) log likelihood = -28669.918
Iteration 78: (EM) log likelihood = -28662.448
Iteration 79: (EM) log likelihood = -28653.937
Iteration 80: (EM) log likelihood = -28649.478
Note: EM algorithm reached maximum iterations.
Fitting full model:
Iteration 0: log likelihood = -26975.883 (not concave)
Iteration 1: log likelihood = -26975.699 (not concave)
Iteration 2: log likelihood = -26975.392 (not concave)
Iteration 3: log likelihood = -26975.124 (not concave)
Iteration 4: log likelihood = -26974.874 (not concave)
Iteration 5: log likelihood = -26974.493 (not concave)
Iteration 6: log likelihood = -26974.277 (not concave)
Iteration 7: log likelihood = -26973.522 (not concave)
Iteration 8: log likelihood = -26973.349 (not concave)
Iteration 9: log likelihood = -26973.273 (not concave)
Iteration 10: log likelihood = -26973.222 (not concave)
Iteration 11: log likelihood = -26973.183 (not concave)
Iteration 12: log likelihood = -26973.151 (not concave)
Iteration 13: log likelihood = -26973.124 (not concave)
Iteration 14: log likelihood = -26973.099 (not concave)
Iteration 15: log likelihood = -26973.076 (not concave)
Iteration 16: log likelihood = -26973.055 (not concave)
Iteration 17: log likelihood = -26973.035 (not concave)
Iteration 18: log likelihood = -26973.016 (not concave)
Iteration 19: log likelihood = -26972.998 (not concave)
Iteration 20: log likelihood = -26972.981 (not concave)
Iteration 21: log likelihood = -26972.964 (not concave)
Iteration 22: log likelihood = -26972.949 (not concave)
Iteration 23: log likelihood = -26972.934 (not concave)
Iteration 24: log likelihood = -26972.921 (not concave)
Iteration 25: log likelihood = -26972.907 (not concave)
Iteration 26: log likelihood = -26972.894 (not concave)
Iteration 27: log likelihood = -26972.882 (not concave)
Iteration 28: log likelihood = -26972.87 (not concave)
Iteration 29: log likelihood = -26972.859 (not concave)
Iteration 30: log likelihood = -26972.848 (not concave)
Iteration 31: log likelihood = -26972.838 (not concave)
Iteration 32: log likelihood = -26972.828 (not concave)
Iteration 33: log likelihood = -26972.818 (not concave)
Iteration 34: log likelihood = -26972.809 (not concave)
Iteration 35: log likelihood = -26972.799 (not concave)
Iteration 36: log likelihood = -26972.791 (not concave)
Iteration 37: log likelihood = -26972.782 (not concave)
Iteration 38: log likelihood = -26972.774 (not concave)
Iteration 39: log likelihood = -26972.766 (not concave)
Iteration 40: log likelihood = -26972.763 (not concave)
Iteration 41: log likelihood = -26972.749 (not concave)
Iteration 42: log likelihood = -26972.74 (not concave)
Iteration 43: log likelihood = -26972.728 (not concave)
Iteration 44: log likelihood = -26972.722 (not concave)
Iteration 45: log likelihood = -26972.711 (not concave)
Iteration 46: log likelihood = -26972.702 (not concave)
Iteration 47: log likelihood = -26972.695 (not concave)
Iteration 48: log likelihood = -26972.689 (not concave)
Iteration 49: log likelihood = -26972.668 (not concave)
Iteration 50: log likelihood = -26972.651 (not concave)
Iteration 51: log likelihood = -26972.585 (not concave)
Iteration 52: log likelihood = -26972.578 (not concave)
Iteration 53: log likelihood = -26972.573 (not concave)
Iteration 54: log likelihood = -26972.571 (not concave)
Generalized structural equation model Number of obs = 3,789
Log likelihood = -26972.571
------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
1.C | (base outcome)
-------------+----------------------------------------------------------------
2.C |
_cons | 1.19072 .1365363 8.72 0.000 .9231136 1.458326
-------------+----------------------------------------------------------------
3.C |
_cons | 1.744046 .1476816 11.81 0.000 1.454595 2.033496
-------------+----------------------------------------------------------------
4.C |
_cons | .8224185 .133073 6.18 0.000 .5616002 1.083237
-------------+----------------------------------------------------------------
5.C |
_cons | .5962008 .1529173 3.90 0.000 .2964884 .8959131
-------------+----------------------------------------------------------------
6.C |
_cons | -.3784313 .1567505 -2.41 0.016 -.6856567 -.071206
------------------------------------------------------------------------------
Class : 1
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -.781578 .2182032 -3.58 0.000 -1.209249 -.3539076
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -168.0311 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | -.6917557 .5500197 -1.26 0.209 -1.769775 .3862631
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 1.582069 .3126271 5.06 0.000 .9693309 2.194807
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 1.6453 .3194796 5.15 0.000 1.019132 2.271469
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 1.483165 .3189892 4.65 0.000 .8579572 2.108372
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | -.2713665 .4992436 -0.54 0.587 -1.249866 .707133
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | -1.54894 .4126083 -3.75 0.000 -2.357637 -.7402425
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -63.94278 . . . . .
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 2.462297 .2747003 8.96 0.000 1.923895 3.0007
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | .5641055 .3688639 1.53 0.126 -.1588544 1.287065
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | -56.3475 . . . . .
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | .8697464 .4918048 1.77 0.077 -.0941732 1.833666
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.657906 .4145716 4.00 0.000 .8453606 2.470451
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.840973 .3944885 4.67 0.000 1.067789 2.614156
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.824886 .3887033 4.69 0.000 1.063042 2.586731
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 2.017088 .4531957 4.45 0.000 1.12884 2.905335
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 2.547716 .4124247 6.18 0.000 1.739379 3.356054
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 1.788604 .4449971 4.02 0.000 .9164256 2.660782
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 1.242081 .4638103 2.68 0.007 .33303 2.151133
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 1.816945 .4432088 4.10 0.000 .9482722 2.685619
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | .2574039 .5934196 0.43 0.664 -.9056772 1.420485
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 3.128375 .4045541 7.73 0.000 2.335464 3.921287
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 2.18472 .4296052 5.09 0.000 1.34271 3.026731
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | .5986387 .5425674 1.10 0.270 -.4647739 1.662051
--------------------------------------------------------------------------------------------
Class : 2
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -2.816527 .4112509 -6.85 0.000 -3.622564 -2.01049
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -126.5082 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 9.217731 40.06465 0.23 0.818 -69.30755 87.74301
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 12.16792 40.06179 0.30 0.761 -66.35175 90.68759
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 12.67549 40.06173 0.32 0.752 -65.84407 91.19504
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 12.3376 40.06177 0.31 0.758 -66.18202 90.85723
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 10.24068 40.0624 0.26 0.798 -68.28017 88.76153
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 2.34823 .1840016 12.76 0.000 1.987594 2.708867
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -.5846743 .255 -2.29 0.022 -1.084465 -.0848834
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 7.88925 . . . . .
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 6.527941 .1138848 57.32 0.000 6.304731 6.751151
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | .9058161 .1664115 5.44 0.000 .5796555 1.231977
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.233919 .1767232 6.98 0.000 .8875481 1.580291
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.985865 .1539678 12.90 0.000 1.684094 2.287637
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | -13.80321 947.2245 -0.01 0.988 -1870.329 1842.723
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | -50.37142 . . . . .
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 20.48004 2197.957 0.01 0.993 -4287.437 4328.397
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 19.43397 2197.957 0.01 0.993 -4288.483 4327.351
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 19.44919 2197.957 0.01 0.993 -4288.468 4327.366
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 19.19439 2197.957 0.01 0.993 -4288.723 4327.111
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 19.37847 2197.957 0.01 0.993 -4288.538 4327.295
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 10.23368 35.66654 0.29 0.774 -59.67146 80.13882
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 12.16065 35.66589 0.34 0.733 -57.7432 82.06451
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 11.67198 35.66606 0.33 0.743 -58.2322 81.57617
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 8.610079 35.66251 0.24 0.809 -61.28717 78.50732
--------------------------------------------------------------------------------------------
Class : 3
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | 2.23009 .2388451 9.34 0.000 1.761962 2.698218
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -158.4216 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 8.99111 44.45685 0.20 0.840 -78.14271 96.12493
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 11.02315 44.45636 0.25 0.804 -76.10973 98.15602
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 11.14766 44.45583 0.25 0.802 -75.98416 98.27948
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 11.03952 44.45565 0.25 0.804 -76.09195 98.17098
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 9.59619 44.45597 0.22 0.829 -77.53592 96.7283
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.908532 .1121145 17.02 0.000 1.688792 2.128272
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -.746889 .1582518 -4.72 0.000 -1.057057 -.4367212
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 13.27147 35.47208 0.37 0.708 -56.25252 82.79547
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 11.73374 35.47212 0.33 0.741 -57.79035 81.25782
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | -94.00001 . . . . .
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 5.642651 .0806582 69.96 0.000 5.484563 5.800738
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 5.6892 .0795566 71.51 0.000 5.533272 5.845128
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 5.331854 . . . . .
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.238632 .1164613 36.40 0.000 4.010372 4.466892
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 17.04602 .0929445 183.40 0.000 16.86385 17.22819
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 16.15474 . . . . .
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 16.31727 .1035997 157.50 0.000 16.11422 16.52032
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 15.89487 .1144585 138.87 0.000 15.67053 16.1192
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 16.24811 .1052801 154.33 0.000 16.04176 16.45445
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | -52.42657 . . . . .
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 14.45883 .0803466 179.96 0.000 14.30135 14.61631
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 13.81081 . . . . .
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 10.27679 .3700965 27.77 0.000 9.551418 11.00217
--------------------------------------------------------------------------------------------
Class : 4
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -119.6082 . . . . .
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | 4.523406 .8259187 5.48 0.000 2.904635 6.142177
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 5.288852 .9677561 5.47 0.000 3.392085 7.185619
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 5.07087 .9684261 5.24 0.000 3.17279 6.968951
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 4.732807 .969644 4.88 0.000 2.83234 6.633274
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 4.060936 .9738177 4.17 0.000 2.152289 5.969584
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 2.338076 1.011321 2.31 0.021 .3559234 4.320228
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.66531 .1168971 14.25 0.000 1.436196 1.894424
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -1.213605 .2235059 -5.43 0.000 -1.651669 -.7755418
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 28.70655 .6803109 42.20 0.000 27.37316 30.03993
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 24.33413 . . . . .
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.486705 .4503315 9.96 0.000 3.604071 5.369338
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 3.179187 .4569801 6.96 0.000 2.283523 4.074852
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | -278.0767 . . . . .
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | -251.137 . . . . .
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | -303.2022 . . . . .
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 4.39034 .6041977 7.27 0.000 3.206134 5.574546
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 3.60956 .60859 5.93 0.000 2.416745 4.802374
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 3.416172 .6103514 5.60 0.000 2.219905 4.612438
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 2.897513 .6172852 4.69 0.000 1.687656 4.10737
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 3.762839 .6074905 6.19 0.000 2.572179 4.953498
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 3.714659 1.01595 3.66 0.000 1.723434 5.705885
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 6.033426 1.005009 6.00 0.000 4.063645 8.003206
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 4.751964 1.008127 4.71 0.000 2.776071 6.727857
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 1.113024 1.157951 0.96 0.336 -1.156518 3.382567
--------------------------------------------------------------------------------------------
Class : 5
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | 2.568357 .3429526 7.49 0.000 1.896182 3.240532
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -167.6913 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | -.29593 1.510093 -0.20 0.845 -3.255658 2.663798
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 3.171322 .9668833 3.28 0.001 1.276266 5.066379
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 4.406441 .9541803 4.62 0.000 2.536282 6.2766
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 5.014687 .9520472 5.27 0.000 3.148708 6.880665
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 3.024401 .9695194 3.12 0.002 1.124178 4.924624
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.857861 .153292 12.12 0.000 1.557414 2.158307
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -141.0625 . . . . .
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 8.004878 2.989505 2.68 0.007 2.145555 13.8642
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 5.494442 2.996495 1.83 0.067 -.3785797 11.36746
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | -1.14826 1.581298 -0.73 0.468 -4.247547 1.951028
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.165447 .6099069 6.83 0.000 2.970051 5.360842
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 3.319568 .6119672 5.42 0.000 2.120135 4.519002
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.386451 .6279282 3.80 0.000 1.155734 3.617167
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | .7701178 .7172912 1.07 0.283 -.6357471 2.175983
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 10.7234 11.96474 0.90 0.370 -12.72705 34.17385
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 8.907552 11.9659 0.74 0.457 -14.54519 32.36029
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 8.393795 11.9666 0.70 0.483 -15.06031 31.8479
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 8.320372 11.96652 0.70 0.487 -15.13358 31.77432
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 8.55212 11.96633 0.71 0.475 -14.90146 32.0057
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 6.26577 1.44983 4.32 0.000 3.424155 9.107385
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | -50.82124 . . . . .
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 4.908721 1.47613 3.33 0.001 2.01556 7.801883
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | -62.29288 . . . . .
--------------------------------------------------------------------------------------------
Class : 6
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -1.848185 1.225244 -1.51 0.131 -4.249618 .5532485
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | 2.09785 .542772 3.87 0.000 1.034037 3.161664
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 16.35753 654.2876 0.03 0.980 -1266.023 1298.738
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 17.18571 654.2876 0.03 0.979 -1265.194 1299.566
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 16.71177 654.2876 0.03 0.980 -1265.668 1299.092
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 16.37493 654.2876 0.03 0.980 -1266.005 1298.755
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 14.66963 654.2877 0.02 0.982 -1267.711 1297.05
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.867231 .2378942 7.85 0.000 1.400967 2.333495
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -1.322634 .4746672 -2.79 0.005 -2.252964 -.392303
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | -35.62635 . . . . .
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 20.24622 1998.47 0.01 0.992 -3896.683 3937.175
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | 3.628934 .5918094 6.13 0.000 2.469009 4.788859
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.48488 .6056764 4.10 0.000 1.297776 3.671984
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | -2.97481 18.38228 -0.16 0.871 -39.00341 33.05379
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | -222.5996 . . . . .
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | -230.4743 . . . . .
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 4.608426 1.013448 4.55 0.000 2.622105 6.594747
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 2.618265 1.050616 2.49 0.013 .5590963 4.677434
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | .8842467 1.267958 0.70 0.486 -1.600906 3.369399
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 3.983482 1.018506 3.91 0.000 1.987247 5.979716
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 1.890894 1.08912 1.74 0.083 -.2437412 4.025529
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | -41.93465 . . . . .
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 2.872072 .4649333 6.18 0.000 1.960819 3.783324
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 1.716744 .4926219 3.48 0.000 .7512229 2.682265
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 2.39989 .4822567 4.98 0.000 1.454685 3.345096
--------------------------------------------------------------------------------------------
----------------------------------------------------------------------------
Fit statistic | Value Description
---------------------+------------------------------------------------------
Likelihood ratio |
chi2_ms(29029) | 4016.733 model vs. saturated
p > chi2 | 1.000
---------------------+------------------------------------------------------
Information criteria |
AIC | 54205.142 Akaike's information criterion
BIC | 55016.323 Bayesian information criterion
----------------------------------------------------------------------------
Entropy:
.83861851
(results lca_prueba_c5 are active now)
(results lca_prueba_c6 are active now)
LMR LT test statistic:
266.21029
P value Lo-Mendel:
0.00000000000000000
__00000B = 266.21029
__00000A = 276.9795
__00000D = 14
__00000C = 17
__000009 = 6
__000005 = 130
__000003 = -26972.571
__000008 = 5
__000004 = 112
__000002 = -27111.061
__000001 = 3789
scalars:
r(lmrt_p) = 4.05423776197e-46
r(lmrt) = 266.2102921526679
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7368.3222
Iteration 1: (class) log likelihood = -7368.3222
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30125.773
Iteration 1: (outcome) log likelihood = -29241.24
Iteration 2: (outcome) log likelihood = -29125.285
Iteration 3: (outcome) log likelihood = -29095.21
Iteration 4: (outcome) log likelihood = -29088.91
Iteration 5: (outcome) log likelihood = -29087.423
Iteration 6: (outcome) log likelihood = -29087.083
Iteration 7: (outcome) log likelihood = -29087.01
Iteration 8: (outcome) log likelihood = -29086.997
Iteration 9: (outcome) log likelihood = -29086.996
Iteration 10: (outcome) log likelihood = -29086.996
Iteration 11: (outcome) log likelihood = -29086.996
Iteration 12: (outcome) log likelihood = -29086.996
Refining starting values:
Iteration 0: (EM) log likelihood = -36416.384
Iteration 1: (EM) log likelihood = -36298.366
Iteration 2: (EM) log likelihood = -35978.328
Iteration 3: (EM) log likelihood = -35274.277
Iteration 4: (EM) log likelihood = -34265.799
Iteration 5: (EM) log likelihood = -33353.708
Iteration 6: (EM) log likelihood = -32639.166
Iteration 7: (EM) log likelihood = -32056.277
Iteration 8: (EM) log likelihood = -31600.517
Iteration 9: (EM) log likelihood = -31258.566
Iteration 10: (EM) log likelihood = -30981.96
Iteration 11: (EM) log likelihood = -30729.39
Iteration 12: (EM) log likelihood = -30490.151
Iteration 13: (EM) log likelihood = -30270.739
Iteration 14: (EM) log likelihood = -30075.481
Iteration 15: (EM) log likelihood = -29913.88
Iteration 16: (EM) log likelihood = -29782.777
Iteration 17: (EM) log likelihood = -29677.305
Iteration 18: (EM) log likelihood = -29589.974
Iteration 19: (EM) log likelihood = -29519.774
Iteration 20: (EM) log likelihood = -29454.512
Iteration 21: (EM) log likelihood = -29397.803
Iteration 22: (EM) log likelihood = -29347.305
Iteration 23: (EM) log likelihood = -29299.363
Iteration 24: (EM) log likelihood = -29259.477
Iteration 25: (EM) log likelihood = -29223.465
Iteration 26: (EM) log likelihood = -29190.328
Iteration 27: (EM) log likelihood = -29160.668
Iteration 28: (EM) log likelihood = -29135.074
Iteration 29: (EM) log likelihood = -29110.13
Iteration 30: (EM) log likelihood = -29089.021
Iteration 31: (EM) log likelihood = -29070.401
Iteration 32: (EM) log likelihood = -29053.864
Iteration 33: (EM) log likelihood = -29039.399
Iteration 34: (EM) log likelihood = -29026.088
Iteration 35: (EM) log likelihood = -29014
Iteration 36: (EM) log likelihood = -29004.559
Iteration 37: (EM) log likelihood = -28994.125
Iteration 38: (EM) log likelihood = -28986.658
Iteration 39: (EM) log likelihood = -28974.595
Iteration 40: (EM) log likelihood = -28969.155
Iteration 41: (EM) log likelihood = -28964.458
Iteration 42: (EM) log likelihood = -28959.163
Iteration 43: (EM) log likelihood = -28954.1
Iteration 44: (EM) log likelihood = -28953.045
Iteration 45: (EM) log likelihood = -28946.976
Iteration 46: (EM) log likelihood = -28942.817
Iteration 47: (EM) log likelihood = -28938.326
Iteration 48: (EM) log likelihood = -28933.358
Iteration 49: (EM) log likelihood = -28930.318
Iteration 50: (EM) log likelihood = -28927.426
Iteration 51: (EM) log likelihood = -28922.835
Iteration 52: (EM) log likelihood = -28919.461
Iteration 53: (EM) log likelihood = -28918.807
Iteration 54: (EM) log likelihood = -28913.364
Iteration 55: (EM) log likelihood = -28909.982
Iteration 56: (EM) log likelihood = -28907.079
Iteration 57: (EM) log likelihood = -28906.156
Iteration 58: (EM) log likelihood = -28903.056
Iteration 59: (EM) log likelihood = -28898.5
Iteration 60: (EM) log likelihood = -28896.541
Iteration 61: (EM) log likelihood = -28893.86
Iteration 62: (EM) log likelihood = -28892.297
Iteration 63: (EM) log likelihood = -28890.45
Iteration 64: (EM) log likelihood = -28888.71
Iteration 65: (EM) log likelihood = -28888.379
Iteration 66: (EM) log likelihood = -28888.514
Iteration 67: (EM) log likelihood = -28887.986
Iteration 68: (EM) log likelihood = -28887.461
Iteration 69: (EM) log likelihood = -28886.915
Iteration 70: (EM) log likelihood = -28886.281
Iteration 71: (EM) log likelihood = -28885.532
Iteration 72: (EM) log likelihood = -28883.811
Iteration 73: (EM) log likelihood = -28883.204
Iteration 74: (EM) log likelihood = -28881.678
Iteration 75: (EM) log likelihood = -28881.126
Iteration 76: (EM) log likelihood = -28879.631
Iteration 77: (EM) log likelihood = -28878.101
Iteration 78: (EM) log likelihood = -28876.747
Iteration 79: (EM) log likelihood = -28875.512
Iteration 80: (EM) log likelihood = -28874.359
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.8196
Iteration 1: (class) log likelihood = -7371.8196
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29858.943
Iteration 1: (outcome) log likelihood = -29257.792
Iteration 2: (outcome) log likelihood = -29127.85
Iteration 3: (outcome) log likelihood = -29102.229
Iteration 4: (outcome) log likelihood = -29096.894
Iteration 5: (outcome) log likelihood = -29095.775
Iteration 6: (outcome) log likelihood = -29095.524
Iteration 7: (outcome) log likelihood = -29095.462
Iteration 8: (outcome) log likelihood = -29095.449
Iteration 9: (outcome) log likelihood = -29095.447
Iteration 10: (outcome) log likelihood = -29095.446
Iteration 11: (outcome) log likelihood = -29095.446
Iteration 12: (outcome) log likelihood = -29095.446
Iteration 13: (outcome) log likelihood = -29095.446
Refining starting values:
Iteration 0: (EM) log likelihood = -36422.522
Iteration 1: (EM) log likelihood = -36222.01
Iteration 2: (EM) log likelihood = -35538.66
Iteration 3: (EM) log likelihood = -34353.633
Iteration 4: (EM) log likelihood = -33442.512
Iteration 5: (EM) log likelihood = -32883.504
Iteration 6: (EM) log likelihood = -32430.061
Iteration 7: (EM) log likelihood = -31986.164
Iteration 8: (EM) log likelihood = -31570.372
Iteration 9: (EM) log likelihood = -31215.53
Iteration 10: (EM) log likelihood = -30924.79
Iteration 11: (EM) log likelihood = -30675.849
Iteration 12: (EM) log likelihood = -30462.93
Iteration 13: (EM) log likelihood = -30278.602
Iteration 14: (EM) log likelihood = -30116.074
Iteration 15: (EM) log likelihood = -29963.004
Iteration 16: (EM) log likelihood = -29825.912
Iteration 17: (EM) log likelihood = -29708.881
Iteration 18: (EM) log likelihood = -29614.713
Iteration 19: (EM) log likelihood = -29538.597
Iteration 20: (EM) log likelihood = -29479.093
Iteration 21: (EM) log likelihood = -29429.892
Iteration 22: (EM) log likelihood = -29388.798
Iteration 23: (EM) log likelihood = -29352.97
Iteration 24: (EM) log likelihood = -29321.607
Iteration 25: (EM) log likelihood = -29292.299
Iteration 26: (EM) log likelihood = -29267.35
Iteration 27: (EM) log likelihood = -29243.357
Iteration 28: (EM) log likelihood = -29220.679
Iteration 29: (EM) log likelihood = -29198.197
Iteration 30: (EM) log likelihood = -29176.515
Iteration 31: (EM) log likelihood = -29157.363
Iteration 32: (EM) log likelihood = -29138.385
Iteration 33: (EM) log likelihood = -29118.336
Iteration 34: (EM) log likelihood = -29098.968
Iteration 35: (EM) log likelihood = -29080.805
Iteration 36: (EM) log likelihood = -29062.483
Iteration 37: (EM) log likelihood = -29046.537
Iteration 38: (EM) log likelihood = -29030.5
Iteration 39: (EM) log likelihood = -29015.132
Iteration 40: (EM) log likelihood = -29000.459
Iteration 41: (EM) log likelihood = -28987.151
Iteration 42: (EM) log likelihood = -28974.584
Iteration 43: (EM) log likelihood = -28960.797
Iteration 44: (EM) log likelihood = -28949.551
Iteration 45: (EM) log likelihood = -28939.189
Iteration 46: (EM) log likelihood = -28928.813
Iteration 47: (EM) log likelihood = -28917.708
Iteration 48: (EM) log likelihood = -28907.288
Iteration 49: (EM) log likelihood = -28896.39
Iteration 50: (EM) log likelihood = -28886.542
Iteration 51: (EM) log likelihood = -28878.183
Iteration 52: (EM) log likelihood = -28868.637
Iteration 53: (EM) log likelihood = -28860.313
Iteration 54: (EM) log likelihood = -28851.48
Iteration 55: (EM) log likelihood = -28843.981
Iteration 56: (EM) log likelihood = -28836.798
Iteration 57: (EM) log likelihood = -28830.462
Iteration 58: (EM) log likelihood = -28820.352
Iteration 59: (EM) log likelihood = -28814.12
Iteration 60: (EM) log likelihood = -28807.259
Iteration 61: (EM) log likelihood = -28800.827
Iteration 62: (EM) log likelihood = -28794.118
Iteration 63: (EM) log likelihood = -28786.247
Iteration 64: (EM) log likelihood = -28778.065
Iteration 65: (EM) log likelihood = -28770.171
Iteration 66: (EM) log likelihood = -28762.368
Iteration 67: (EM) log likelihood = -28753.011
Iteration 68: (EM) log likelihood = -28745.52
Iteration 69: (EM) log likelihood = -28738.062
Iteration 70: (EM) log likelihood = -28731.487
Iteration 71: (EM) log likelihood = -28722.959
Iteration 72: (EM) log likelihood = -28715.143
Iteration 73: (EM) log likelihood = -28707.907
Iteration 74: (EM) log likelihood = -28700.802
Iteration 75: (EM) log likelihood = -28694.895
Iteration 76: (EM) log likelihood = -28689.896
Iteration 77: (EM) log likelihood = -28685.091
Iteration 78: (EM) log likelihood = -28679.473
Iteration 79: (EM) log likelihood = -28675.083
Iteration 80: (EM) log likelihood = -28668.08
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7368.2049
Iteration 1: (class) log likelihood = -7368.2049
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29791.359
Iteration 1: (outcome) log likelihood = -29226.379
Iteration 2: (outcome) log likelihood = -29126.701
Iteration 3: (outcome) log likelihood = -29106.933
Iteration 4: (outcome) log likelihood = -29102.594
Iteration 5: (outcome) log likelihood = -29101.648
Iteration 6: (outcome) log likelihood = -29101.482
Iteration 7: (outcome) log likelihood = -29101.465
Iteration 8: (outcome) log likelihood = -29101.461
Iteration 9: (outcome) log likelihood = -29101.461
Iteration 10: (outcome) log likelihood = -29101.46
Iteration 11: (outcome) log likelihood = -29101.46
Iteration 12: (outcome) log likelihood = -29101.46
Refining starting values:
Iteration 0: (EM) log likelihood = -36430.482
Iteration 1: (EM) log likelihood = -36283.079
Iteration 2: (EM) log likelihood = -35814.547
Iteration 3: (EM) log likelihood = -34821.761
Iteration 4: (EM) log likelihood = -33665.611
Iteration 5: (EM) log likelihood = -32770.997
Iteration 6: (EM) log likelihood = -32125.574
Iteration 7: (EM) log likelihood = -31671.832
Iteration 8: (EM) log likelihood = -31355.984
Iteration 9: (EM) log likelihood = -31120.309
Iteration 10: (EM) log likelihood = -30926.815
Iteration 11: (EM) log likelihood = -30755.775
Iteration 12: (EM) log likelihood = -30596.419
Iteration 13: (EM) log likelihood = -30447.507
Iteration 14: (EM) log likelihood = -30304.78
Iteration 15: (EM) log likelihood = -30171.624
Iteration 16: (EM) log likelihood = -30052.563
Iteration 17: (EM) log likelihood = -29945.447
Iteration 18: (EM) log likelihood = -29849.633
Iteration 19: (EM) log likelihood = -29762.879
Iteration 20: (EM) log likelihood = -29684.73
Iteration 21: (EM) log likelihood = -29613.337
Iteration 22: (EM) log likelihood = -29547.348
Iteration 23: (EM) log likelihood = -29488.237
Iteration 24: (EM) log likelihood = -29434.842
Iteration 25: (EM) log likelihood = -29387.818
Iteration 26: (EM) log likelihood = -29347.223
Iteration 27: (EM) log likelihood = -29311.666
Iteration 28: (EM) log likelihood = -29280.53
Iteration 29: (EM) log likelihood = -29252.529
Iteration 30: (EM) log likelihood = -29226.953
Iteration 31: (EM) log likelihood = -29202.683
Iteration 32: (EM) log likelihood = -29179.504
Iteration 33: (EM) log likelihood = -29157.335
Iteration 34: (EM) log likelihood = -29135.63
Iteration 35: (EM) log likelihood = -29114.464
Iteration 36: (EM) log likelihood = -29093.849
Iteration 37: (EM) log likelihood = -29073.862
Iteration 38: (EM) log likelihood = -29054.725
Iteration 39: (EM) log likelihood = -29036.288
Iteration 40: (EM) log likelihood = -29020.213
Iteration 41: (EM) log likelihood = -29003.632
Iteration 42: (EM) log likelihood = -28989.019
Iteration 43: (EM) log likelihood = -28975.652
Iteration 44: (EM) log likelihood = -28963.677
Iteration 45: (EM) log likelihood = -28953.235
Iteration 46: (EM) log likelihood = -28943.875
Iteration 47: (EM) log likelihood = -28935.413
Iteration 48: (EM) log likelihood = -28928.338
Iteration 49: (EM) log likelihood = -28921.966
Iteration 50: (EM) log likelihood = -28916.999
Iteration 51: (EM) log likelihood = -28912.563
Iteration 52: (EM) log likelihood = -28908.341
Iteration 53: (EM) log likelihood = -28905.23
Iteration 54: (EM) log likelihood = -28902.264
Iteration 55: (EM) log likelihood = -28898.764
Iteration 56: (EM) log likelihood = -28897.617
Iteration 57: (EM) log likelihood = -28895.566
Iteration 58: (EM) log likelihood = -28894.004
Iteration 59: (EM) log likelihood = -28892.58
Iteration 60: (EM) log likelihood = -28891.451
Iteration 61: (EM) log likelihood = -28890.819
Iteration 62: (EM) log likelihood = -28889.585
Iteration 63: (EM) log likelihood = -28887.981
Iteration 64: (EM) log likelihood = -28888.455
Iteration 65: (EM) log likelihood = -28887.706
Iteration 66: (EM) log likelihood = -28887.145
Iteration 67: (EM) log likelihood = -28886.917
Iteration 68: (EM) log likelihood = -28886.369
Iteration 69: (EM) log likelihood = -28886.221
Iteration 70: (EM) log likelihood = -28885.968
Iteration 71: (EM) log likelihood = -28886.266
Iteration 72: (EM) log likelihood = -28886.018
Iteration 73: (EM) log likelihood = -28885.972
Iteration 74: (EM) log likelihood = -28886.947
Iteration 75: (EM) log likelihood = -28886.918
Iteration 76: (EM) log likelihood = -28887.115
Iteration 77: (EM) log likelihood = -28887.275
Iteration 78: (EM) log likelihood = -28887.024
Iteration 79: (EM) log likelihood = -28887.998
Iteration 80: (EM) log likelihood = -28887.98
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7369.242
Iteration 1: (class) log likelihood = -7369.242
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29937.388
Iteration 1: (outcome) log likelihood = -29307.968
Iteration 2: (outcome) log likelihood = -29131.45
Iteration 3: (outcome) log likelihood = -29104.786
Iteration 4: (outcome) log likelihood = -29099.78
Iteration 5: (outcome) log likelihood = -29098.665
Iteration 6: (outcome) log likelihood = -29098.408
Iteration 7: (outcome) log likelihood = -29098.347
Iteration 8: (outcome) log likelihood = -29098.335
Iteration 9: (outcome) log likelihood = -29098.333
Iteration 10: (outcome) log likelihood = -29098.332
Iteration 11: (outcome) log likelihood = -29098.332
Iteration 12: (outcome) log likelihood = -29098.332
Refining starting values:
Iteration 0: (EM) log likelihood = -36429.563
Iteration 1: (EM) log likelihood = -36287.445
Iteration 2: (EM) log likelihood = -35844.968
Iteration 3: (EM) log likelihood = -34948.829
Iteration 4: (EM) log likelihood = -33971.619
Iteration 5: (EM) log likelihood = -33209.281
Iteration 6: (EM) log likelihood = -32596.582
Iteration 7: (EM) log likelihood = -32079.762
Iteration 8: (EM) log likelihood = -31654.858
Iteration 9: (EM) log likelihood = -31307.712
Iteration 10: (EM) log likelihood = -31033.394
Iteration 11: (EM) log likelihood = -30817.645
Iteration 12: (EM) log likelihood = -30646.205
Iteration 13: (EM) log likelihood = -30507.949
Iteration 14: (EM) log likelihood = -30395.279
Iteration 15: (EM) log likelihood = -30296.796
Iteration 16: (EM) log likelihood = -30205.487
Iteration 17: (EM) log likelihood = -30119.109
Iteration 18: (EM) log likelihood = -30036.022
Iteration 19: (EM) log likelihood = -29956.89
Iteration 20: (EM) log likelihood = -29882.463
Iteration 21: (EM) log likelihood = -29810.095
Iteration 22: (EM) log likelihood = -29739.009
Iteration 23: (EM) log likelihood = -29670.347
Iteration 24: (EM) log likelihood = -29604.562
Iteration 25: (EM) log likelihood = -29540.737
Iteration 26: (EM) log likelihood = -29481.894
Iteration 27: (EM) log likelihood = -29428.214
Iteration 28: (EM) log likelihood = -29378.551
Iteration 29: (EM) log likelihood = -29331.658
Iteration 30: (EM) log likelihood = -29286.955
Iteration 31: (EM) log likelihood = -29244.678
Iteration 32: (EM) log likelihood = -29203.97
Iteration 33: (EM) log likelihood = -29163.659
Iteration 34: (EM) log likelihood = -29122.52
Iteration 35: (EM) log likelihood = -29082.19
Iteration 36: (EM) log likelihood = -29039.148
Iteration 37: (EM) log likelihood = -28994.641
Iteration 38: (EM) log likelihood = -28948.774
Iteration 39: (EM) log likelihood = -28901.889
Iteration 40: (EM) log likelihood = -28855.037
Iteration 41: (EM) log likelihood = -28808.823
Iteration 42: (EM) log likelihood = -28763.714
Iteration 43: (EM) log likelihood = -28718.494
Iteration 44: (EM) log likelihood = -28676.077
Iteration 45: (EM) log likelihood = -28637.626
Iteration 46: (EM) log likelihood = -28601.552
Iteration 47: (EM) log likelihood = -28568.66
Iteration 48: (EM) log likelihood = -28538.487
Iteration 49: (EM) log likelihood = -28511.131
Iteration 50: (EM) log likelihood = -28485.425
Iteration 51: (EM) log likelihood = -28461.87
Iteration 52: (EM) log likelihood = -28440.724
Iteration 53: (EM) log likelihood = -28421.821
Iteration 54: (EM) log likelihood = -28404.215
Iteration 55: (EM) log likelihood = -28388.546
Iteration 56: (EM) log likelihood = -28374.645
Iteration 57: (EM) log likelihood = -28363.013
Iteration 58: (EM) log likelihood = -28352.397
Iteration 59: (EM) log likelihood = -28341.938
Iteration 60: (EM) log likelihood = -28334.681
Iteration 61: (EM) log likelihood = -28328.658
Iteration 62: (EM) log likelihood = -28323.05
Iteration 63: (EM) log likelihood = -28319.267
Iteration 64: (EM) log likelihood = -28315.745
Iteration 65: (EM) log likelihood = -28313.623
Iteration 66: (EM) log likelihood = -28310.906
Iteration 67: (EM) log likelihood = -28308.917
Iteration 68: (EM) log likelihood = -28307.291
Iteration 69: (EM) log likelihood = -28306.214
Iteration 70: (EM) log likelihood = -28304.72
Iteration 71: (EM) log likelihood = -28303.685
Iteration 72: (EM) log likelihood = -28303.083
Iteration 73: (EM) log likelihood = -28302.781
Iteration 74: (EM) log likelihood = -28302.633
Iteration 75: (EM) log likelihood = -28302.851
Iteration 76: (EM) log likelihood = -28302.231
Iteration 77: (EM) log likelihood = -28302.361
Iteration 78: (EM) log likelihood = -28302.391
Iteration 79: (EM) log likelihood = -28302.313
Iteration 80: (EM) log likelihood = -28302.186
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7366.5446
Iteration 1: (class) log likelihood = -7366.5446
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29584.861
Iteration 1: (outcome) log likelihood = -29207.12
Iteration 2: (outcome) log likelihood = -29115.812
Iteration 3: (outcome) log likelihood = -29102.284
Iteration 4: (outcome) log likelihood = -29099.598
Iteration 5: (outcome) log likelihood = -29098.978
Iteration 6: (outcome) log likelihood = -29098.875
Iteration 7: (outcome) log likelihood = -29098.85
Iteration 8: (outcome) log likelihood = -29098.845
Iteration 9: (outcome) log likelihood = -29098.843
Iteration 10: (outcome) log likelihood = -29098.843
Iteration 11: (outcome) log likelihood = -29098.843
Refining starting values:
Iteration 0: (EM) log likelihood = -36411.35
Iteration 1: (EM) log likelihood = -36204.088
Iteration 2: (EM) log likelihood = -35551.329
Iteration 3: (EM) log likelihood = -34266.633
Iteration 4: (EM) log likelihood = -33013.43
Iteration 5: (EM) log likelihood = -32219.339
Iteration 6: (EM) log likelihood = -31750.596
Iteration 7: (EM) log likelihood = -31430.319
Iteration 8: (EM) log likelihood = -31167.141
Iteration 9: (EM) log likelihood = -30931.439
Iteration 10: (EM) log likelihood = -30715.467
Iteration 11: (EM) log likelihood = -30515.696
Iteration 12: (EM) log likelihood = -30336.849
Iteration 13: (EM) log likelihood = -30182.873
Iteration 14: (EM) log likelihood = -30050.448
Iteration 15: (EM) log likelihood = -29934.487
Iteration 16: (EM) log likelihood = -29835.021
Iteration 17: (EM) log likelihood = -29744.497
Iteration 18: (EM) log likelihood = -29662.808
Iteration 19: (EM) log likelihood = -29585.581
Iteration 20: (EM) log likelihood = -29512.789
Iteration 21: (EM) log likelihood = -29443.765
Iteration 22: (EM) log likelihood = -29377.602
Iteration 23: (EM) log likelihood = -29316.832
Iteration 24: (EM) log likelihood = -29261.434
Iteration 25: (EM) log likelihood = -29212.131
Iteration 26: (EM) log likelihood = -29168.214
Iteration 27: (EM) log likelihood = -29129.943
Iteration 28: (EM) log likelihood = -29095.51
Iteration 29: (EM) log likelihood = -29064.176
Iteration 30: (EM) log likelihood = -29034.021
Iteration 31: (EM) log likelihood = -29008.971
Iteration 32: (EM) log likelihood = -28985.082
Iteration 33: (EM) log likelihood = -28962.311
Iteration 34: (EM) log likelihood = -28938.256
Iteration 35: (EM) log likelihood = -28916.419
Iteration 36: (EM) log likelihood = -28894.798
Iteration 37: (EM) log likelihood = -28875.899
Iteration 38: (EM) log likelihood = -28855.121
Iteration 39: (EM) log likelihood = -28834.799
Iteration 40: (EM) log likelihood = -28815.193
Iteration 41: (EM) log likelihood = -28795.929
Iteration 42: (EM) log likelihood = -28773.896
Iteration 43: (EM) log likelihood = -28751.483
Iteration 44: (EM) log likelihood = -28727.035
Iteration 45: (EM) log likelihood = -28704.512
Iteration 46: (EM) log likelihood = -28679.065
Iteration 47: (EM) log likelihood = -28655.359
Iteration 48: (EM) log likelihood = -28632.187
Iteration 49: (EM) log likelihood = -28609.72
Iteration 50: (EM) log likelihood = -28586.746
Iteration 51: (EM) log likelihood = -28566.5
Iteration 52: (EM) log likelihood = -28547.14
Iteration 53: (EM) log likelihood = -28528.433
Iteration 54: (EM) log likelihood = -28510.875
Iteration 55: (EM) log likelihood = -28493.044
Iteration 56: (EM) log likelihood = -28476.754
Iteration 57: (EM) log likelihood = -28462.179
Iteration 58: (EM) log likelihood = -28446.894
Iteration 59: (EM) log likelihood = -28429.58
Iteration 60: (EM) log likelihood = -28417.264
Iteration 61: (EM) log likelihood = -28404.96
Iteration 62: (EM) log likelihood = -28392.196
Iteration 63: (EM) log likelihood = -28380.223
Iteration 64: (EM) log likelihood = -28367.719
Iteration 65: (EM) log likelihood = -28353.265
Iteration 66: (EM) log likelihood = -28343.351
Iteration 67: (EM) log likelihood = -28333.615
Iteration 68: (EM) log likelihood = -28324.008
Iteration 69: (EM) log likelihood = -28310.9
Iteration 70: (EM) log likelihood = -28303.45
Iteration 71: (EM) log likelihood = -28294.351
Iteration 72: (EM) log likelihood = -28285.597
Iteration 73: (EM) log likelihood = -28277.258
Iteration 74: (EM) log likelihood = -28270.946
Iteration 75: (EM) log likelihood = -28264.328
Iteration 76: (EM) log likelihood = -28259.366
Iteration 77: (EM) log likelihood = -28252.533
Iteration 78: (EM) log likelihood = -28245.711
Iteration 79: (EM) log likelihood = -28239.946
Iteration 80: (EM) log likelihood = -28234.401
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.1333
Iteration 1: (class) log likelihood = -7371.1333
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29735.482
Iteration 1: (outcome) log likelihood = -29227.474
Iteration 2: (outcome) log likelihood = -29125.104
Iteration 3: (outcome) log likelihood = -29103.065
Iteration 4: (outcome) log likelihood = -29098.707
Iteration 5: (outcome) log likelihood = -29097.668
Iteration 6: (outcome) log likelihood = -29097.501
Iteration 7: (outcome) log likelihood = -29097.46
Iteration 8: (outcome) log likelihood = -29097.451
Iteration 9: (outcome) log likelihood = -29097.45
Iteration 10: (outcome) log likelihood = -29097.449
Iteration 11: (outcome) log likelihood = -29097.449
Iteration 12: (outcome) log likelihood = -29097.449
Refining starting values:
Iteration 0: (EM) log likelihood = -36451.498
Iteration 1: (EM) log likelihood = -36371.722
Iteration 2: (EM) log likelihood = -36053.763
Iteration 3: (EM) log likelihood = -35106.347
Iteration 4: (EM) log likelihood = -33844.977
Iteration 5: (EM) log likelihood = -33002.813
Iteration 6: (EM) log likelihood = -32460.126
Iteration 7: (EM) log likelihood = -32019.898
Iteration 8: (EM) log likelihood = -31628.133
Iteration 9: (EM) log likelihood = -31279.825
Iteration 10: (EM) log likelihood = -30974.199
Iteration 11: (EM) log likelihood = -30703.437
Iteration 12: (EM) log likelihood = -30470.775
Iteration 13: (EM) log likelihood = -30275.419
Iteration 14: (EM) log likelihood = -30116.17
Iteration 15: (EM) log likelihood = -29981.873
Iteration 16: (EM) log likelihood = -29864.155
Iteration 17: (EM) log likelihood = -29759.084
Iteration 18: (EM) log likelihood = -29661.269
Iteration 19: (EM) log likelihood = -29567.719
Iteration 20: (EM) log likelihood = -29482.199
Iteration 21: (EM) log likelihood = -29407.023
Iteration 22: (EM) log likelihood = -29343.572
Iteration 23: (EM) log likelihood = -29293.77
Iteration 24: (EM) log likelihood = -29254.554
Iteration 25: (EM) log likelihood = -29223.132
Iteration 26: (EM) log likelihood = -29198.236
Iteration 27: (EM) log likelihood = -29177.127
Iteration 28: (EM) log likelihood = -29158.949
Iteration 29: (EM) log likelihood = -29143.16
Iteration 30: (EM) log likelihood = -29128.768
Iteration 31: (EM) log likelihood = -29115.424
Iteration 32: (EM) log likelihood = -29102.612
Iteration 33: (EM) log likelihood = -29090.505
Iteration 34: (EM) log likelihood = -29078.514
Iteration 35: (EM) log likelihood = -29067.852
Iteration 36: (EM) log likelihood = -29057.769
Iteration 37: (EM) log likelihood = -29045.393
Iteration 38: (EM) log likelihood = -29034.738
Iteration 39: (EM) log likelihood = -29023.436
Iteration 40: (EM) log likelihood = -29016.007
Iteration 41: (EM) log likelihood = -29003.488
Iteration 42: (EM) log likelihood = -28991.956
Iteration 43: (EM) log likelihood = -28979.976
Iteration 44: (EM) log likelihood = -28967.519
Iteration 45: (EM) log likelihood = -28955.818
Iteration 46: (EM) log likelihood = -28944.667
Iteration 47: (EM) log likelihood = -28934.356
Iteration 48: (EM) log likelihood = -28924.258
Iteration 49: (EM) log likelihood = -28911.797
Iteration 50: (EM) log likelihood = -28901.559
Iteration 51: (EM) log likelihood = -28891.638
Iteration 52: (EM) log likelihood = -28886.249
Iteration 53: (EM) log likelihood = -28874.073
Iteration 54: (EM) log likelihood = -28861.525
Iteration 55: (EM) log likelihood = -28851.449
Iteration 56: (EM) log likelihood = -28841.728
Iteration 57: (EM) log likelihood = -28834.857
Iteration 58: (EM) log likelihood = -28823.735
Iteration 59: (EM) log likelihood = -28815.782
Iteration 60: (EM) log likelihood = -28809.739
Iteration 61: (EM) log likelihood = -28798.66
Iteration 62: (EM) log likelihood = -28789.179
Iteration 63: (EM) log likelihood = -28777.865
Iteration 64: (EM) log likelihood = -28768.319
Iteration 65: (EM) log likelihood = -28759.235
Iteration 66: (EM) log likelihood = -28752.744
Iteration 67: (EM) log likelihood = -28742.765
Iteration 68: (EM) log likelihood = -28734.35
Iteration 69: (EM) log likelihood = -28728.218
Iteration 70: (EM) log likelihood = -28720.94
Iteration 71: (EM) log likelihood = -28712.089
Iteration 72: (EM) log likelihood = -28704.73
Iteration 73: (EM) log likelihood = -28695.736
Iteration 74: (EM) log likelihood = -28688.5
Iteration 75: (EM) log likelihood = -28681.489
Iteration 76: (EM) log likelihood = -28674.788
Iteration 77: (EM) log likelihood = -28668.076
Iteration 78: (EM) log likelihood = -28660.229
Iteration 79: (EM) log likelihood = -28653.785
Iteration 80: (EM) log likelihood = -28648.361
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.0027
Iteration 1: (class) log likelihood = -7371.0027
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29889.887
Iteration 1: (outcome) log likelihood = -29225.498
Iteration 2: (outcome) log likelihood = -29113.704
Iteration 3: (outcome) log likelihood = -29090.232
Iteration 4: (outcome) log likelihood = -29084.912
Iteration 5: (outcome) log likelihood = -29083.645
Iteration 6: (outcome) log likelihood = -29083.384
Iteration 7: (outcome) log likelihood = -29083.34
Iteration 8: (outcome) log likelihood = -29083.336
Iteration 9: (outcome) log likelihood = -29083.335
Iteration 10: (outcome) log likelihood = -29083.334
Iteration 11: (outcome) log likelihood = -29083.334
Iteration 12: (outcome) log likelihood = -29083.334
Refining starting values:
Iteration 0: (EM) log likelihood = -36428.328
Iteration 1: (EM) log likelihood = -36316.241
Iteration 2: (EM) log likelihood = -35950.827
Iteration 3: (EM) log likelihood = -35093.343
Iteration 4: (EM) log likelihood = -33941.881
Iteration 5: (EM) log likelihood = -32960.742
Iteration 6: (EM) log likelihood = -32264.758
Iteration 7: (EM) log likelihood = -31764.896
Iteration 8: (EM) log likelihood = -31370.002
Iteration 9: (EM) log likelihood = -31039.105
Iteration 10: (EM) log likelihood = -30760.689
Iteration 11: (EM) log likelihood = -30544.199
Iteration 12: (EM) log likelihood = -30388.299
Iteration 13: (EM) log likelihood = -30276.048
Iteration 14: (EM) log likelihood = -30187.067
Iteration 15: (EM) log likelihood = -30123.341
Iteration 16: (EM) log likelihood = -30069.446
Iteration 17: (EM) log likelihood = -30023.328
Iteration 18: (EM) log likelihood = -29981.529
Iteration 19: (EM) log likelihood = -29941.701
Iteration 20: (EM) log likelihood = -29904.41
Iteration 21: (EM) log likelihood = -29869.118
Iteration 22: (EM) log likelihood = -29835.896
Iteration 23: (EM) log likelihood = -29804.594
Iteration 24: (EM) log likelihood = -29774.08
Iteration 25: (EM) log likelihood = -29747.745
Iteration 26: (EM) log likelihood = -29723.089
Iteration 27: (EM) log likelihood = -29699.566
Iteration 28: (EM) log likelihood = -29676.871
Iteration 29: (EM) log likelihood = -29657.302
Iteration 30: (EM) log likelihood = -29640.163
Iteration 31: (EM) log likelihood = -29621.921
Iteration 32: (EM) log likelihood = -29604.724
Iteration 33: (EM) log likelihood = -29588.411
Iteration 34: (EM) log likelihood = -29572.377
Iteration 35: (EM) log likelihood = -29557.223
Iteration 36: (EM) log likelihood = -29542.847
Iteration 37: (EM) log likelihood = -29529.951
Iteration 38: (EM) log likelihood = -29516.089
Iteration 39: (EM) log likelihood = -29503.703
Iteration 40: (EM) log likelihood = -29491.506
Iteration 41: (EM) log likelihood = -29480.262
Iteration 42: (EM) log likelihood = -29470.461
Iteration 43: (EM) log likelihood = -29459.49
Iteration 44: (EM) log likelihood = -29450.875
Iteration 45: (EM) log likelihood = -29442.116
Iteration 46: (EM) log likelihood = -29434.234
Iteration 47: (EM) log likelihood = -29427.062
Iteration 48: (EM) log likelihood = -29420.068
Iteration 49: (EM) log likelihood = -29414.1
Iteration 50: (EM) log likelihood = -29409.302
Iteration 51: (EM) log likelihood = -29403.322
Iteration 52: (EM) log likelihood = -29398.6
Iteration 53: (EM) log likelihood = -29393.47
Iteration 54: (EM) log likelihood = -29389.201
Iteration 55: (EM) log likelihood = -29384.072
Iteration 56: (EM) log likelihood = -29379.787
Iteration 57: (EM) log likelihood = -29375.665
Iteration 58: (EM) log likelihood = -29371.56
Iteration 59: (EM) log likelihood = -29367.356
Iteration 60: (EM) log likelihood = -29362.834
Iteration 61: (EM) log likelihood = -29358.303
Iteration 62: (EM) log likelihood = -29354.25
Iteration 63: (EM) log likelihood = -29349.725
Iteration 64: (EM) log likelihood = -29345.695
Iteration 65: (EM) log likelihood = -29341.375
Iteration 66: (EM) log likelihood = -29337.842
Iteration 67: (EM) log likelihood = -29333.439
Iteration 68: (EM) log likelihood = -29329.145
Iteration 69: (EM) log likelihood = -29324.975
Iteration 70: (EM) log likelihood = -29320.881
Iteration 71: (EM) log likelihood = -29316.857
Iteration 72: (EM) log likelihood = -29312.639
Iteration 73: (EM) log likelihood = -29308.166
Iteration 74: (EM) log likelihood = -29304.314
Iteration 75: (EM) log likelihood = -29300.404
Iteration 76: (EM) log likelihood = -29296.762
Iteration 77: (EM) log likelihood = -29292.815
Iteration 78: (EM) log likelihood = -29288.999
Iteration 79: (EM) log likelihood = -29285.677
Iteration 80: (EM) log likelihood = -29282.614
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7365.4457
Iteration 1: (class) log likelihood = -7365.4457
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29756.164
Iteration 1: (outcome) log likelihood = -29238.309
Iteration 2: (outcome) log likelihood = -29123.897
Iteration 3: (outcome) log likelihood = -29101.858
Iteration 4: (outcome) log likelihood = -29098.144
Iteration 5: (outcome) log likelihood = -29097.286
Iteration 6: (outcome) log likelihood = -29097.075
Iteration 7: (outcome) log likelihood = -29097.032
Iteration 8: (outcome) log likelihood = -29097.023
Iteration 9: (outcome) log likelihood = -29097.021
Iteration 10: (outcome) log likelihood = -29097.021
Iteration 11: (outcome) log likelihood = -29097.02
Iteration 12: (outcome) log likelihood = -29097.02
Refining starting values:
Iteration 0: (EM) log likelihood = -36430.153
Iteration 1: (EM) log likelihood = -36300.94
Iteration 2: (EM) log likelihood = -35868.193
Iteration 3: (EM) log likelihood = -34916.082
Iteration 4: (EM) log likelihood = -33851.884
Iteration 5: (EM) log likelihood = -33061.545
Iteration 6: (EM) log likelihood = -32466.427
Iteration 7: (EM) log likelihood = -31979.173
Iteration 8: (EM) log likelihood = -31572.68
Iteration 9: (EM) log likelihood = -31210.87
Iteration 10: (EM) log likelihood = -30871.839
Iteration 11: (EM) log likelihood = -30570.19
Iteration 12: (EM) log likelihood = -30315.113
Iteration 13: (EM) log likelihood = -30114.421
Iteration 14: (EM) log likelihood = -29970.954
Iteration 15: (EM) log likelihood = -29859.885
Iteration 16: (EM) log likelihood = -29774.27
Iteration 17: (EM) log likelihood = -29702.628
Iteration 18: (EM) log likelihood = -29639.847
Iteration 19: (EM) log likelihood = -29583.758
Iteration 20: (EM) log likelihood = -29531.856
Iteration 21: (EM) log likelihood = -29480.571
Iteration 22: (EM) log likelihood = -29432.958
Iteration 23: (EM) log likelihood = -29386.212
Iteration 24: (EM) log likelihood = -29341.456
Iteration 25: (EM) log likelihood = -29296.968
Iteration 26: (EM) log likelihood = -29255.273
Iteration 27: (EM) log likelihood = -29214.742
Iteration 28: (EM) log likelihood = -29176.918
Iteration 29: (EM) log likelihood = -29141.189
Iteration 30: (EM) log likelihood = -29104.781
Iteration 31: (EM) log likelihood = -29070.404
Iteration 32: (EM) log likelihood = -29039.029
Iteration 33: (EM) log likelihood = -29006.469
Iteration 34: (EM) log likelihood = -28976.096
Iteration 35: (EM) log likelihood = -28947.249
Iteration 36: (EM) log likelihood = -28921.003
Iteration 37: (EM) log likelihood = -28895.604
Iteration 38: (EM) log likelihood = -28874.756
Iteration 39: (EM) log likelihood = -28856.582
Iteration 40: (EM) log likelihood = -28836.962
Iteration 41: (EM) log likelihood = -28819.964
Iteration 42: (EM) log likelihood = -28803.487
Iteration 43: (EM) log likelihood = -28788.913
Iteration 44: (EM) log likelihood = -28780.097
Iteration 45: (EM) log likelihood = -28764.696
Iteration 46: (EM) log likelihood = -28751.134
Iteration 47: (EM) log likelihood = -28738.395
Iteration 48: (EM) log likelihood = -28724.926
Iteration 49: (EM) log likelihood = -28712.82
Iteration 50: (EM) log likelihood = -28699.948
Iteration 51: (EM) log likelihood = -28688.081
Iteration 52: (EM) log likelihood = -28673.261
Iteration 53: (EM) log likelihood = -28660.6
Iteration 54: (EM) log likelihood = -28649.345
Iteration 55: (EM) log likelihood = -28637.41
Iteration 56: (EM) log likelihood = -28625.413
Iteration 57: (EM) log likelihood = -28613.338
Iteration 58: (EM) log likelihood = -28604.791
Iteration 59: (EM) log likelihood = -28598.398
Iteration 60: (EM) log likelihood = -28588.512
Iteration 61: (EM) log likelihood = -28580.608
Iteration 62: (EM) log likelihood = -28571.401
Iteration 63: (EM) log likelihood = -28563.07
Iteration 64: (EM) log likelihood = -28554.838
Iteration 65: (EM) log likelihood = -28545.376
Iteration 66: (EM) log likelihood = -28537.359
Iteration 67: (EM) log likelihood = -28530.285
Iteration 68: (EM) log likelihood = -28519.857
Iteration 69: (EM) log likelihood = -28515.25
Iteration 70: (EM) log likelihood = -28507.488
Iteration 71: (EM) log likelihood = -28500.705
Iteration 72: (EM) log likelihood = -28494.547
Iteration 73: (EM) log likelihood = -28486.209
Iteration 74: (EM) log likelihood = -28481.374
Iteration 75: (EM) log likelihood = -28476.687
Iteration 76: (EM) log likelihood = -28472.659
Iteration 77: (EM) log likelihood = -28468.734
Iteration 78: (EM) log likelihood = -28464.273
Iteration 79: (EM) log likelihood = -28461.035
Iteration 80: (EM) log likelihood = -28456.547
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.497
Iteration 1: (class) log likelihood = -7370.497
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30361.493
Iteration 1: (outcome) log likelihood = -29341.045
Iteration 2: (outcome) log likelihood = -29143.877
Iteration 3: (outcome) log likelihood = -29106.27
Iteration 4: (outcome) log likelihood = -29099.111
Iteration 5: (outcome) log likelihood = -29097.507
Iteration 6: (outcome) log likelihood = -29097.147
Iteration 7: (outcome) log likelihood = -29097.058
Iteration 8: (outcome) log likelihood = -29097.041
Iteration 9: (outcome) log likelihood = -29097.038
Iteration 10: (outcome) log likelihood = -29097.037
Iteration 11: (outcome) log likelihood = -29097.037
Iteration 12: (outcome) log likelihood = -29097.037
Iteration 13: (outcome) log likelihood = -29097.037
Refining starting values:
Iteration 0: (EM) log likelihood = -36450.184
Iteration 1: (EM) log likelihood = -36366.375
Iteration 2: (EM) log likelihood = -36060.652
Iteration 3: (EM) log likelihood = -35262.048
Iteration 4: (EM) log likelihood = -34155.131
Iteration 5: (EM) log likelihood = -33261.034
Iteration 6: (EM) log likelihood = -32646.124
Iteration 7: (EM) log likelihood = -32214.5
Iteration 8: (EM) log likelihood = -31887.035
Iteration 9: (EM) log likelihood = -31610.312
Iteration 10: (EM) log likelihood = -31357.124
Iteration 11: (EM) log likelihood = -31128.351
Iteration 12: (EM) log likelihood = -30928.577
Iteration 13: (EM) log likelihood = -30758.765
Iteration 14: (EM) log likelihood = -30612.337
Iteration 15: (EM) log likelihood = -30483.36
Iteration 16: (EM) log likelihood = -30365.174
Iteration 17: (EM) log likelihood = -30253.006
Iteration 18: (EM) log likelihood = -30142.34
Iteration 19: (EM) log likelihood = -30030.228
Iteration 20: (EM) log likelihood = -29908.61
Iteration 21: (EM) log likelihood = -29798.769
Iteration 22: (EM) log likelihood = -29695.626
Iteration 23: (EM) log likelihood = -29597.277
Iteration 24: (EM) log likelihood = -29502.157
Iteration 25: (EM) log likelihood = -29412.8
Iteration 26: (EM) log likelihood = -29325.941
Iteration 27: (EM) log likelihood = -29247.522
Iteration 28: (EM) log likelihood = -29172.88
Iteration 29: (EM) log likelihood = -29103.665
Iteration 30: (EM) log likelihood = -29040.569
Iteration 31: (EM) log likelihood = -28983.801
Iteration 32: (EM) log likelihood = -28931.073
Iteration 33: (EM) log likelihood = -28885.077
Iteration 34: (EM) log likelihood = -28844.962
Iteration 35: (EM) log likelihood = -28810.343
Iteration 36: (EM) log likelihood = -28778.464
Iteration 37: (EM) log likelihood = -28751.575
Iteration 38: (EM) log likelihood = -28726.748
Iteration 39: (EM) log likelihood = -28705.077
Iteration 40: (EM) log likelihood = -28684.744
Iteration 41: (EM) log likelihood = -28666.507
Iteration 42: (EM) log likelihood = -28651.917
Iteration 43: (EM) log likelihood = -28635.432
Iteration 44: (EM) log likelihood = -28624.266
Iteration 45: (EM) log likelihood = -28612.163
Iteration 46: (EM) log likelihood = -28602.89
Iteration 47: (EM) log likelihood = -28592.351
Iteration 48: (EM) log likelihood = -28580.407
Iteration 49: (EM) log likelihood = -28569.219
Iteration 50: (EM) log likelihood = -28559.007
Iteration 51: (EM) log likelihood = -28549.514
Iteration 52: (EM) log likelihood = -28537.989
Iteration 53: (EM) log likelihood = -28523.862
Iteration 54: (EM) log likelihood = -28512.084
Iteration 55: (EM) log likelihood = -28497.416
Iteration 56: (EM) log likelihood = -28481.727
Iteration 57: (EM) log likelihood = -28463.586
Iteration 58: (EM) log likelihood = -28444.569
Iteration 59: (EM) log likelihood = -28424.829
Iteration 60: (EM) log likelihood = -28402.74
Iteration 61: (EM) log likelihood = -28382.666
Iteration 62: (EM) log likelihood = -28363.639
Iteration 63: (EM) log likelihood = -28344.339
Iteration 64: (EM) log likelihood = -28326.067
Iteration 65: (EM) log likelihood = -28308.309
Iteration 66: (EM) log likelihood = -28291.318
Iteration 67: (EM) log likelihood = -28274.982
Iteration 68: (EM) log likelihood = -28259.103
Iteration 69: (EM) log likelihood = -28244.629
Iteration 70: (EM) log likelihood = -28230.283
Iteration 71: (EM) log likelihood = -28214.895
Iteration 72: (EM) log likelihood = -28203.615
Iteration 73: (EM) log likelihood = -28194.054
Iteration 74: (EM) log likelihood = -28180.872
Iteration 75: (EM) log likelihood = -28176.333
Iteration 76: (EM) log likelihood = -28167.655
Iteration 77: (EM) log likelihood = -28161.17
Iteration 78: (EM) log likelihood = -28155.59
Iteration 79: (EM) log likelihood = -28149.571
Iteration 80: (EM) log likelihood = -28145.088
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.9217
Iteration 1: (class) log likelihood = -7370.9217
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29845.441
Iteration 1: (outcome) log likelihood = -29257.555
Iteration 2: (outcome) log likelihood = -29126.463
Iteration 3: (outcome) log likelihood = -29106.048
Iteration 4: (outcome) log likelihood = -29101.565
Iteration 5: (outcome) log likelihood = -29100.607
Iteration 6: (outcome) log likelihood = -29100.449
Iteration 7: (outcome) log likelihood = -29100.411
Iteration 8: (outcome) log likelihood = -29100.403
Iteration 9: (outcome) log likelihood = -29100.401
Iteration 10: (outcome) log likelihood = -29100.401
Iteration 11: (outcome) log likelihood = -29100.401
Iteration 12: (outcome) log likelihood = -29100.401
Refining starting values:
Iteration 0: (EM) log likelihood = -36451.815
Iteration 1: (EM) log likelihood = -36383.326
Iteration 2: (EM) log likelihood = -36182.398
Iteration 3: (EM) log likelihood = -35675.953
Iteration 4: (EM) log likelihood = -34761.898
Iteration 5: (EM) log likelihood = -33612.556
Iteration 6: (EM) log likelihood = -32544.314
Iteration 7: (EM) log likelihood = -31770.404
Iteration 8: (EM) log likelihood = -31287.019
Iteration 9: (EM) log likelihood = -30976.191
Iteration 10: (EM) log likelihood = -30749.115
Iteration 11: (EM) log likelihood = -30559.6
Iteration 12: (EM) log likelihood = -30384.761
Iteration 13: (EM) log likelihood = -30214.883
Iteration 14: (EM) log likelihood = -30049.366
Iteration 15: (EM) log likelihood = -29893.731
Iteration 16: (EM) log likelihood = -29753.293
Iteration 17: (EM) log likelihood = -29632.063
Iteration 18: (EM) log likelihood = -29528.935
Iteration 19: (EM) log likelihood = -29442.346
Iteration 20: (EM) log likelihood = -29371.323
Iteration 21: (EM) log likelihood = -29312.775
Iteration 22: (EM) log likelihood = -29262.581
Iteration 23: (EM) log likelihood = -29217.75
Iteration 24: (EM) log likelihood = -29175.389
Iteration 25: (EM) log likelihood = -29134.397
Iteration 26: (EM) log likelihood = -29095.251
Iteration 27: (EM) log likelihood = -29058.609
Iteration 28: (EM) log likelihood = -29025.223
Iteration 29: (EM) log likelihood = -28994.736
Iteration 30: (EM) log likelihood = -28967.191
Iteration 31: (EM) log likelihood = -28941.389
Iteration 32: (EM) log likelihood = -28916.264
Iteration 33: (EM) log likelihood = -28893.007
Iteration 34: (EM) log likelihood = -28870.564
Iteration 35: (EM) log likelihood = -28849.288
Iteration 36: (EM) log likelihood = -28829.12
Iteration 37: (EM) log likelihood = -28805.993
Iteration 38: (EM) log likelihood = -28788.592
Iteration 39: (EM) log likelihood = -28771.857
Iteration 40: (EM) log likelihood = -28753.962
Iteration 41: (EM) log likelihood = -28737.868
Iteration 42: (EM) log likelihood = -28722.108
Iteration 43: (EM) log likelihood = -28706.94
Iteration 44: (EM) log likelihood = -28691.29
Iteration 45: (EM) log likelihood = -28676.301
Iteration 46: (EM) log likelihood = -28661.659
Iteration 47: (EM) log likelihood = -28646.918
Iteration 48: (EM) log likelihood = -28632.081
Iteration 49: (EM) log likelihood = -28617.214
Iteration 50: (EM) log likelihood = -28603.021
Iteration 51: (EM) log likelihood = -28589.227
Iteration 52: (EM) log likelihood = -28575.716
Iteration 53: (EM) log likelihood = -28562.777
Iteration 54: (EM) log likelihood = -28550.043
Iteration 55: (EM) log likelihood = -28536.991
Iteration 56: (EM) log likelihood = -28524.005
Iteration 57: (EM) log likelihood = -28511.797
Iteration 58: (EM) log likelihood = -28500.053
Iteration 59: (EM) log likelihood = -28489.012
Iteration 60: (EM) log likelihood = -28478.299
Iteration 61: (EM) log likelihood = -28468.259
Iteration 62: (EM) log likelihood = -28458.373
Iteration 63: (EM) log likelihood = -28449.038
Iteration 64: (EM) log likelihood = -28440.46
Iteration 65: (EM) log likelihood = -28431.95
Iteration 66: (EM) log likelihood = -28424.401
Iteration 67: (EM) log likelihood = -28417.688
Iteration 68: (EM) log likelihood = -28411.796
Iteration 69: (EM) log likelihood = -28406.829
Iteration 70: (EM) log likelihood = -28402.619
Iteration 71: (EM) log likelihood = -28398.645
Iteration 72: (EM) log likelihood = -28394.757
Iteration 73: (EM) log likelihood = -28391.645
Iteration 74: (EM) log likelihood = -28389.196
Iteration 75: (EM) log likelihood = -28386.634
Iteration 76: (EM) log likelihood = -28384.664
Iteration 77: (EM) log likelihood = -28382.767
Iteration 78: (EM) log likelihood = -28380.532
Iteration 79: (EM) log likelihood = -28379.126
Iteration 80: (EM) log likelihood = -28377.542
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7369.9323
Iteration 1: (class) log likelihood = -7369.9323
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30079.214
Iteration 1: (outcome) log likelihood = -29255.191
Iteration 2: (outcome) log likelihood = -29135.721
Iteration 3: (outcome) log likelihood = -29110.496
Iteration 4: (outcome) log likelihood = -29105.588
Iteration 5: (outcome) log likelihood = -29104.483
Iteration 6: (outcome) log likelihood = -29104.242
Iteration 7: (outcome) log likelihood = -29104.183
Iteration 8: (outcome) log likelihood = -29104.17
Iteration 9: (outcome) log likelihood = -29104.168
Iteration 10: (outcome) log likelihood = -29104.167
Iteration 11: (outcome) log likelihood = -29104.167
Iteration 12: (outcome) log likelihood = -29104.167
Refining starting values:
Iteration 0: (EM) log likelihood = -36418.453
Iteration 1: (EM) log likelihood = -36195.382
Iteration 2: (EM) log likelihood = -35509.168
Iteration 3: (EM) log likelihood = -34331.605
Iteration 4: (EM) log likelihood = -33284.38
Iteration 5: (EM) log likelihood = -32546.112
Iteration 6: (EM) log likelihood = -32011.351
Iteration 7: (EM) log likelihood = -31619.122
Iteration 8: (EM) log likelihood = -31331.496
Iteration 9: (EM) log likelihood = -31109.231
Iteration 10: (EM) log likelihood = -30921.304
Iteration 11: (EM) log likelihood = -30748.275
Iteration 12: (EM) log likelihood = -30586.033
Iteration 13: (EM) log likelihood = -30437.603
Iteration 14: (EM) log likelihood = -30307.896
Iteration 15: (EM) log likelihood = -30200.132
Iteration 16: (EM) log likelihood = -30111.622
Iteration 17: (EM) log likelihood = -30039.855
Iteration 18: (EM) log likelihood = -29981.04
Iteration 19: (EM) log likelihood = -29930.567
Iteration 20: (EM) log likelihood = -29885.362
Iteration 21: (EM) log likelihood = -29844.43
Iteration 22: (EM) log likelihood = -29804.321
Iteration 23: (EM) log likelihood = -29764.133
Iteration 24: (EM) log likelihood = -29724.037
Iteration 25: (EM) log likelihood = -29683.358
Iteration 26: (EM) log likelihood = -29643.313
Iteration 27: (EM) log likelihood = -29602.384
Iteration 28: (EM) log likelihood = -29561.909
Iteration 29: (EM) log likelihood = -29523.282
Iteration 30: (EM) log likelihood = -29484.126
Iteration 31: (EM) log likelihood = -29446.516
Iteration 32: (EM) log likelihood = -29407.829
Iteration 33: (EM) log likelihood = -29370.925
Iteration 34: (EM) log likelihood = -29335.074
Iteration 35: (EM) log likelihood = -29302.283
Iteration 36: (EM) log likelihood = -29270.455
Iteration 37: (EM) log likelihood = -29240.451
Iteration 38: (EM) log likelihood = -29210.98
Iteration 39: (EM) log likelihood = -29182.173
Iteration 40: (EM) log likelihood = -29154.389
Iteration 41: (EM) log likelihood = -29127.883
Iteration 42: (EM) log likelihood = -29100.735
Iteration 43: (EM) log likelihood = -29073.444
Iteration 44: (EM) log likelihood = -29045.86
Iteration 45: (EM) log likelihood = -29021.415
Iteration 46: (EM) log likelihood = -28996.916
Iteration 47: (EM) log likelihood = -28972.966
Iteration 48: (EM) log likelihood = -28949.193
Iteration 49: (EM) log likelihood = -28926.46
Iteration 50: (EM) log likelihood = -28904.051
Iteration 51: (EM) log likelihood = -28882.401
Iteration 52: (EM) log likelihood = -28861.385
Iteration 53: (EM) log likelihood = -28840.698
Iteration 54: (EM) log likelihood = -28821.649
Iteration 55: (EM) log likelihood = -28802.803
Iteration 56: (EM) log likelihood = -28785.271
Iteration 57: (EM) log likelihood = -28767.411
Iteration 58: (EM) log likelihood = -28751.314
Iteration 59: (EM) log likelihood = -28736.864
Iteration 60: (EM) log likelihood = -28723.833
Iteration 61: (EM) log likelihood = -28710.734
Iteration 62: (EM) log likelihood = -28698.266
Iteration 63: (EM) log likelihood = -28687.509
Iteration 64: (EM) log likelihood = -28678.833
Iteration 65: (EM) log likelihood = -28669.193
Iteration 66: (EM) log likelihood = -28660.691
Iteration 67: (EM) log likelihood = -28653.489
Iteration 68: (EM) log likelihood = -28646.043
Iteration 69: (EM) log likelihood = -28638.607
Iteration 70: (EM) log likelihood = -28631.996
Iteration 71: (EM) log likelihood = -28624.397
Iteration 72: (EM) log likelihood = -28616.393
Iteration 73: (EM) log likelihood = -28607.737
Iteration 74: (EM) log likelihood = -28599.835
Iteration 75: (EM) log likelihood = -28591.765
Iteration 76: (EM) log likelihood = -28583.52
Iteration 77: (EM) log likelihood = -28575.052
Iteration 78: (EM) log likelihood = -28566.379
Iteration 79: (EM) log likelihood = -28558.082
Iteration 80: (EM) log likelihood = -28549.664
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7367.2694
Iteration 1: (class) log likelihood = -7367.2694
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29901.737
Iteration 1: (outcome) log likelihood = -29278.184
Iteration 2: (outcome) log likelihood = -29136.743
Iteration 3: (outcome) log likelihood = -29112.248
Iteration 4: (outcome) log likelihood = -29106.398
Iteration 5: (outcome) log likelihood = -29105.106
Iteration 6: (outcome) log likelihood = -29104.818
Iteration 7: (outcome) log likelihood = -29104.772
Iteration 8: (outcome) log likelihood = -29104.767
Iteration 9: (outcome) log likelihood = -29104.766
Iteration 10: (outcome) log likelihood = -29104.765
Iteration 11: (outcome) log likelihood = -29104.765
Iteration 12: (outcome) log likelihood = -29104.765
Refining starting values:
Iteration 0: (EM) log likelihood = -36451.958
Iteration 1: (EM) log likelihood = -36362.53
Iteration 2: (EM) log likelihood = -36083.647
Iteration 3: (EM) log likelihood = -35409.76
Iteration 4: (EM) log likelihood = -34335.072
Iteration 5: (EM) log likelihood = -33267.839
Iteration 6: (EM) log likelihood = -32437.097
Iteration 7: (EM) log likelihood = -31831.521
Iteration 8: (EM) log likelihood = -31426.648
Iteration 9: (EM) log likelihood = -31141.037
Iteration 10: (EM) log likelihood = -30911.053
Iteration 11: (EM) log likelihood = -30695.116
Iteration 12: (EM) log likelihood = -30491.444
Iteration 13: (EM) log likelihood = -30314.744
Iteration 14: (EM) log likelihood = -30162.701
Iteration 15: (EM) log likelihood = -30037.22
Iteration 16: (EM) log likelihood = -29936.836
Iteration 17: (EM) log likelihood = -29854.673
Iteration 18: (EM) log likelihood = -29787.256
Iteration 19: (EM) log likelihood = -29731.327
Iteration 20: (EM) log likelihood = -29681.819
Iteration 21: (EM) log likelihood = -29636.852
Iteration 22: (EM) log likelihood = -29595.078
Iteration 23: (EM) log likelihood = -29557.074
Iteration 24: (EM) log likelihood = -29520.198
Iteration 25: (EM) log likelihood = -29483.798
Iteration 26: (EM) log likelihood = -29447.514
Iteration 27: (EM) log likelihood = -29410.897
Iteration 28: (EM) log likelihood = -29374.413
Iteration 29: (EM) log likelihood = -29338.358
Iteration 30: (EM) log likelihood = -29303.323
Iteration 31: (EM) log likelihood = -29269.609
Iteration 32: (EM) log likelihood = -29237.842
Iteration 33: (EM) log likelihood = -29207.959
Iteration 34: (EM) log likelihood = -29180.131
Iteration 35: (EM) log likelihood = -29153.505
Iteration 36: (EM) log likelihood = -29129.041
Iteration 37: (EM) log likelihood = -29103.956
Iteration 38: (EM) log likelihood = -29078.386
Iteration 39: (EM) log likelihood = -29048.656
Iteration 40: (EM) log likelihood = -29016.446
Iteration 41: (EM) log likelihood = -28982.557
Iteration 42: (EM) log likelihood = -28948.397
Iteration 43: (EM) log likelihood = -28918.076
Iteration 44: (EM) log likelihood = -28888.231
Iteration 45: (EM) log likelihood = -28861.267
Iteration 46: (EM) log likelihood = -28836.622
Iteration 47: (EM) log likelihood = -28814.675
Iteration 48: (EM) log likelihood = -28793.586
Iteration 49: (EM) log likelihood = -28774.446
Iteration 50: (EM) log likelihood = -28757.92
Iteration 51: (EM) log likelihood = -28743.036
Iteration 52: (EM) log likelihood = -28729.114
Iteration 53: (EM) log likelihood = -28714.943
Iteration 54: (EM) log likelihood = -28700.429
Iteration 55: (EM) log likelihood = -28687.879
Iteration 56: (EM) log likelihood = -28675.001
Iteration 57: (EM) log likelihood = -28661.261
Iteration 58: (EM) log likelihood = -28648.075
Iteration 59: (EM) log likelihood = -28634.268
Iteration 60: (EM) log likelihood = -28620.202
Iteration 61: (EM) log likelihood = -28606.022
Iteration 62: (EM) log likelihood = -28590.83
Iteration 63: (EM) log likelihood = -28577.174
Iteration 64: (EM) log likelihood = -28562.441
Iteration 65: (EM) log likelihood = -28547.461
Iteration 66: (EM) log likelihood = -28533.368
Iteration 67: (EM) log likelihood = -28519.911
Iteration 68: (EM) log likelihood = -28507.725
Iteration 69: (EM) log likelihood = -28493.882
Iteration 70: (EM) log likelihood = -28481.161
Iteration 71: (EM) log likelihood = -28466.41
Iteration 72: (EM) log likelihood = -28447.71
Iteration 73: (EM) log likelihood = -28428.412
Iteration 74: (EM) log likelihood = -28411.583
Iteration 75: (EM) log likelihood = -28395.177
Iteration 76: (EM) log likelihood = -28380.798
Iteration 77: (EM) log likelihood = -28367.44
Iteration 78: (EM) log likelihood = -28355.608
Iteration 79: (EM) log likelihood = -28343.297
Iteration 80: (EM) log likelihood = -28333.624
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.1349
Iteration 1: (class) log likelihood = -7371.1349
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29768.953
Iteration 1: (outcome) log likelihood = -29236.832
Iteration 2: (outcome) log likelihood = -29129.221
Iteration 3: (outcome) log likelihood = -29108.236
Iteration 4: (outcome) log likelihood = -29104.292
Iteration 5: (outcome) log likelihood = -29103.408
Iteration 6: (outcome) log likelihood = -29103.207
Iteration 7: (outcome) log likelihood = -29103.158
Iteration 8: (outcome) log likelihood = -29103.149
Iteration 9: (outcome) log likelihood = -29103.147
Iteration 10: (outcome) log likelihood = -29103.147
Iteration 11: (outcome) log likelihood = -29103.147
Iteration 12: (outcome) log likelihood = -29103.147
Refining starting values:
Iteration 0: (EM) log likelihood = -36464.219
Iteration 1: (EM) log likelihood = -36405.875
Iteration 2: (EM) log likelihood = -36209.6
Iteration 3: (EM) log likelihood = -35715.723
Iteration 4: (EM) log likelihood = -34934.659
Iteration 5: (EM) log likelihood = -34112.223
Iteration 6: (EM) log likelihood = -33373.647
Iteration 7: (EM) log likelihood = -32725.03
Iteration 8: (EM) log likelihood = -32135.871
Iteration 9: (EM) log likelihood = -31588.123
Iteration 10: (EM) log likelihood = -31087.483
Iteration 11: (EM) log likelihood = -30652.596
Iteration 12: (EM) log likelihood = -30308.554
Iteration 13: (EM) log likelihood = -30065.975
Iteration 14: (EM) log likelihood = -29905.799
Iteration 15: (EM) log likelihood = -29800.524
Iteration 16: (EM) log likelihood = -29730.239
Iteration 17: (EM) log likelihood = -29678.01
Iteration 18: (EM) log likelihood = -29636.981
Iteration 19: (EM) log likelihood = -29596.157
Iteration 20: (EM) log likelihood = -29563.587
Iteration 21: (EM) log likelihood = -29531.564
Iteration 22: (EM) log likelihood = -29500.209
Iteration 23: (EM) log likelihood = -29471.712
Iteration 24: (EM) log likelihood = -29441.356
Iteration 25: (EM) log likelihood = -29412.831
Iteration 26: (EM) log likelihood = -29385.961
Iteration 27: (EM) log likelihood = -29361.836
Iteration 28: (EM) log likelihood = -29335.311
Iteration 29: (EM) log likelihood = -29312.423
Iteration 30: (EM) log likelihood = -29288.711
Iteration 31: (EM) log likelihood = -29265.635
Iteration 32: (EM) log likelihood = -29243.569
Iteration 33: (EM) log likelihood = -29225.082
Iteration 34: (EM) log likelihood = -29206.328
Iteration 35: (EM) log likelihood = -29188.14
Iteration 36: (EM) log likelihood = -29170.469
Iteration 37: (EM) log likelihood = -29154.685
Iteration 38: (EM) log likelihood = -29140.248
Iteration 39: (EM) log likelihood = -29125.661
Iteration 40: (EM) log likelihood = -29112.921
Iteration 41: (EM) log likelihood = -29098.405
Iteration 42: (EM) log likelihood = -29086.089
Iteration 43: (EM) log likelihood = -29075.018
Iteration 44: (EM) log likelihood = -29064.756
Iteration 45: (EM) log likelihood = -29053.188
Iteration 46: (EM) log likelihood = -29044.86
Iteration 47: (EM) log likelihood = -29034.094
Iteration 48: (EM) log likelihood = -29023.568
Iteration 49: (EM) log likelihood = -29014.187
Iteration 50: (EM) log likelihood = -29004.747
Iteration 51: (EM) log likelihood = -28995.673
Iteration 52: (EM) log likelihood = -28986.888
Iteration 53: (EM) log likelihood = -28974.956
Iteration 54: (EM) log likelihood = -28965.621
Iteration 55: (EM) log likelihood = -28955.285
Iteration 56: (EM) log likelihood = -28944.903
Iteration 57: (EM) log likelihood = -28934.623
Iteration 58: (EM) log likelihood = -28923.245
Iteration 59: (EM) log likelihood = -28911.811
Iteration 60: (EM) log likelihood = -28898.887
Iteration 61: (EM) log likelihood = -28887.442
Iteration 62: (EM) log likelihood = -28875.007
Iteration 63: (EM) log likelihood = -28861.237
Iteration 64: (EM) log likelihood = -28848.862
Iteration 65: (EM) log likelihood = -28835.83
Iteration 66: (EM) log likelihood = -28822.069
Iteration 67: (EM) log likelihood = -28808.784
Iteration 68: (EM) log likelihood = -28797.472
Iteration 69: (EM) log likelihood = -28784.31
Iteration 70: (EM) log likelihood = -28772.1
Iteration 71: (EM) log likelihood = -28760.641
Iteration 72: (EM) log likelihood = -28749.56
Iteration 73: (EM) log likelihood = -28739.343
Iteration 74: (EM) log likelihood = -28726.128
Iteration 75: (EM) log likelihood = -28717.697
Iteration 76: (EM) log likelihood = -28710.727
Iteration 77: (EM) log likelihood = -28702.716
Iteration 78: (EM) log likelihood = -28695.428
Iteration 79: (EM) log likelihood = -28689.857
Iteration 80: (EM) log likelihood = -28684.553
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7369.1224
Iteration 1: (class) log likelihood = -7369.1224
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29103.473
Iteration 1: (outcome) log likelihood = -29103.473
Refining starting values:
Iteration 0: (EM) log likelihood = -36439.855
Iteration 1: (EM) log likelihood = -36312.706
Iteration 2: (EM) log likelihood = -35886.7
Iteration 3: (EM) log likelihood = -34903.134
Iteration 4: (EM) log likelihood = -33718.055
Iteration 5: (EM) log likelihood = -32802.538
Iteration 6: (EM) log likelihood = -32162.228
Iteration 7: (EM) log likelihood = -31712.089
Iteration 8: (EM) log likelihood = -31359.868
Iteration 9: (EM) log likelihood = -31043
Iteration 10: (EM) log likelihood = -30746.171
Iteration 11: (EM) log likelihood = -30488.309
Iteration 12: (EM) log likelihood = -30278.217
Iteration 13: (EM) log likelihood = -30116.044
Iteration 14: (EM) log likelihood = -29992.081
Iteration 15: (EM) log likelihood = -29894.234
Iteration 16: (EM) log likelihood = -29815.747
Iteration 17: (EM) log likelihood = -29749.946
Iteration 18: (EM) log likelihood = -29693.448
Iteration 19: (EM) log likelihood = -29642.048
Iteration 20: (EM) log likelihood = -29592.745
Iteration 21: (EM) log likelihood = -29545.791
Iteration 22: (EM) log likelihood = -29501.349
Iteration 23: (EM) log likelihood = -29461.397
Iteration 24: (EM) log likelihood = -29425.436
Iteration 25: (EM) log likelihood = -29393.675
Iteration 26: (EM) log likelihood = -29365.716
Iteration 27: (EM) log likelihood = -29339.542
Iteration 28: (EM) log likelihood = -29313.416
Iteration 29: (EM) log likelihood = -29288.614
Iteration 30: (EM) log likelihood = -29265.725
Iteration 31: (EM) log likelihood = -29245.09
Iteration 32: (EM) log likelihood = -29227.979
Iteration 33: (EM) log likelihood = -29211.156
Iteration 34: (EM) log likelihood = -29197.459
Iteration 35: (EM) log likelihood = -29185.146
Iteration 36: (EM) log likelihood = -29174.926
Iteration 37: (EM) log likelihood = -29164.666
Iteration 38: (EM) log likelihood = -29155.858
Iteration 39: (EM) log likelihood = -29147.903
Iteration 40: (EM) log likelihood = -29141.715
Iteration 41: (EM) log likelihood = -29136.861
Iteration 42: (EM) log likelihood = -29132.258
Iteration 43: (EM) log likelihood = -29129.036
Iteration 44: (EM) log likelihood = -29125.681
Iteration 45: (EM) log likelihood = -29122.806
Iteration 46: (EM) log likelihood = -29120.459
Iteration 47: (EM) log likelihood = -29118.709
Iteration 48: (EM) log likelihood = -29116.8
Iteration 49: (EM) log likelihood = -29115.837
Iteration 50: (EM) log likelihood = -29114.016
Iteration 51: (EM) log likelihood = -29113.87
Iteration 52: (EM) log likelihood = -29111.906
Iteration 53: (EM) log likelihood = -29111.623
Iteration 54: (EM) log likelihood = -29111.055
Iteration 55: (EM) log likelihood = -29109.466
Iteration 56: (EM) log likelihood = -29108.24
Iteration 57: (EM) log likelihood = -29107.146
Iteration 58: (EM) log likelihood = -29106.023
Iteration 59: (EM) log likelihood = -29105.188
Iteration 60: (EM) log likelihood = -29104.621
Iteration 61: (EM) log likelihood = -29103.187
Iteration 62: (EM) log likelihood = -29101.65
Iteration 63: (EM) log likelihood = -29100.579
Iteration 64: (EM) log likelihood = -29098.874
Iteration 65: (EM) log likelihood = -29097.913
Iteration 66: (EM) log likelihood = -29096.616
Iteration 67: (EM) log likelihood = -29095.023
Iteration 68: (EM) log likelihood = -29093.618
Iteration 69: (EM) log likelihood = -29092.188
Iteration 70: (EM) log likelihood = -29090.925
Iteration 71: (EM) log likelihood = -29089.589
Iteration 72: (EM) log likelihood = -29088.681
Iteration 73: (EM) log likelihood = -29087.459
Iteration 74: (EM) log likelihood = -29086.573
Iteration 75: (EM) log likelihood = -29086.048
Iteration 76: (EM) log likelihood = -29085.603
Iteration 77: (EM) log likelihood = -29085.516
Iteration 78: (EM) log likelihood = -29085.314
Iteration 79: (EM) log likelihood = -29085.001
Iteration 80: (EM) log likelihood = -29084.982
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.4468
Iteration 1: (class) log likelihood = -7371.4468
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30227.918
Iteration 1: (outcome) log likelihood = -29301.9
Iteration 2: (outcome) log likelihood = -29112.79
Iteration 3: (outcome) log likelihood = -29076.998
Iteration 4: (outcome) log likelihood = -29068.259
Iteration 5: (outcome) log likelihood = -29066.588
Iteration 6: (outcome) log likelihood = -29066.303
Iteration 7: (outcome) log likelihood = -29066.236
Iteration 8: (outcome) log likelihood = -29066.221
Iteration 9: (outcome) log likelihood = -29066.217
Iteration 10: (outcome) log likelihood = -29066.217
Iteration 11: (outcome) log likelihood = -29066.217
Iteration 12: (outcome) log likelihood = -29066.217
Refining starting values:
Iteration 0: (EM) log likelihood = -36381.755
Iteration 1: (EM) log likelihood = -36193.745
Iteration 2: (EM) log likelihood = -35721.255
Iteration 3: (EM) log likelihood = -34881.734
Iteration 4: (EM) log likelihood = -33861.076
Iteration 5: (EM) log likelihood = -32907.867
Iteration 6: (EM) log likelihood = -32114.342
Iteration 7: (EM) log likelihood = -31528.832
Iteration 8: (EM) log likelihood = -31124.343
Iteration 9: (EM) log likelihood = -30827.32
Iteration 10: (EM) log likelihood = -30594.332
Iteration 11: (EM) log likelihood = -30401.782
Iteration 12: (EM) log likelihood = -30235.661
Iteration 13: (EM) log likelihood = -30092.08
Iteration 14: (EM) log likelihood = -29967.833
Iteration 15: (EM) log likelihood = -29861.035
Iteration 16: (EM) log likelihood = -29773.389
Iteration 17: (EM) log likelihood = -29698.942
Iteration 18: (EM) log likelihood = -29635.206
Iteration 19: (EM) log likelihood = -29580.397
Iteration 20: (EM) log likelihood = -29534.881
Iteration 21: (EM) log likelihood = -29494.337
Iteration 22: (EM) log likelihood = -29456.437
Iteration 23: (EM) log likelihood = -29420.015
Iteration 24: (EM) log likelihood = -29387.662
Iteration 25: (EM) log likelihood = -29360.762
Iteration 26: (EM) log likelihood = -29338.474
Iteration 27: (EM) log likelihood = -29319.339
Iteration 28: (EM) log likelihood = -29303.528
Iteration 29: (EM) log likelihood = -29289.802
Iteration 30: (EM) log likelihood = -29276.988
Iteration 31: (EM) log likelihood = -29265.809
Iteration 32: (EM) log likelihood = -29254.604
Iteration 33: (EM) log likelihood = -29242.501
Iteration 34: (EM) log likelihood = -29229.411
Iteration 35: (EM) log likelihood = -29214.716
Iteration 36: (EM) log likelihood = -29197.698
Iteration 37: (EM) log likelihood = -29178.07
Iteration 38: (EM) log likelihood = -29155.731
Iteration 39: (EM) log likelihood = -29131.372
Iteration 40: (EM) log likelihood = -29104.265
Iteration 41: (EM) log likelihood = -29076.46
Iteration 42: (EM) log likelihood = -29047.811
Iteration 43: (EM) log likelihood = -29018.751
Iteration 44: (EM) log likelihood = -28989.862
Iteration 45: (EM) log likelihood = -28961.6
Iteration 46: (EM) log likelihood = -28934.382
Iteration 47: (EM) log likelihood = -28908.653
Iteration 48: (EM) log likelihood = -28884.516
Iteration 49: (EM) log likelihood = -28862.005
Iteration 50: (EM) log likelihood = -28841.587
Iteration 51: (EM) log likelihood = -28822.534
Iteration 52: (EM) log likelihood = -28803.72
Iteration 53: (EM) log likelihood = -28784.997
Iteration 54: (EM) log likelihood = -28764.684
Iteration 55: (EM) log likelihood = -28743.559
Iteration 56: (EM) log likelihood = -28722.667
Iteration 57: (EM) log likelihood = -28703.323
Iteration 58: (EM) log likelihood = -28685.775
Iteration 59: (EM) log likelihood = -28669.582
Iteration 60: (EM) log likelihood = -28654.687
Iteration 61: (EM) log likelihood = -28641.317
Iteration 62: (EM) log likelihood = -28628.296
Iteration 63: (EM) log likelihood = -28616.329
Iteration 64: (EM) log likelihood = -28605.035
Iteration 65: (EM) log likelihood = -28594.007
Iteration 66: (EM) log likelihood = -28583.409
Iteration 67: (EM) log likelihood = -28573.246
Iteration 68: (EM) log likelihood = -28563.234
Iteration 69: (EM) log likelihood = -28553.414
Iteration 70: (EM) log likelihood = -28543.508
Iteration 71: (EM) log likelihood = -28533.89
Iteration 72: (EM) log likelihood = -28524.374
Iteration 73: (EM) log likelihood = -28515.089
Iteration 74: (EM) log likelihood = -28506.077
Iteration 75: (EM) log likelihood = -28497.003
Iteration 76: (EM) log likelihood = -28488.167
Iteration 77: (EM) log likelihood = -28478.924
Iteration 78: (EM) log likelihood = -28470.067
Iteration 79: (EM) log likelihood = -28460.762
Iteration 80: (EM) log likelihood = -28451.059
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7369.2609
Iteration 1: (class) log likelihood = -7369.2609
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29734.089
Iteration 1: (outcome) log likelihood = -29197.645
Iteration 2: (outcome) log likelihood = -29123.93
Iteration 3: (outcome) log likelihood = -29107.138
Iteration 4: (outcome) log likelihood = -29103.787
Iteration 5: (outcome) log likelihood = -29102.997
Iteration 6: (outcome) log likelihood = -29102.855
Iteration 7: (outcome) log likelihood = -29102.841
Iteration 8: (outcome) log likelihood = -29102.838
Iteration 9: (outcome) log likelihood = -29102.837
Iteration 10: (outcome) log likelihood = -29102.837
Iteration 11: (outcome) log likelihood = -29102.837
Iteration 12: (outcome) log likelihood = -29102.837
Refining starting values:
Iteration 0: (EM) log likelihood = -36454.164
Iteration 1: (EM) log likelihood = -36392.549
Iteration 2: (EM) log likelihood = -36208.521
Iteration 3: (EM) log likelihood = -35673.922
Iteration 4: (EM) log likelihood = -34578.089
Iteration 5: (EM) log likelihood = -33330.194
Iteration 6: (EM) log likelihood = -32356.074
Iteration 7: (EM) log likelihood = -31691.467
Iteration 8: (EM) log likelihood = -31261.376
Iteration 9: (EM) log likelihood = -30980.001
Iteration 10: (EM) log likelihood = -30771.627
Iteration 11: (EM) log likelihood = -30601.028
Iteration 12: (EM) log likelihood = -30455.04
Iteration 13: (EM) log likelihood = -30330.233
Iteration 14: (EM) log likelihood = -30223.649
Iteration 15: (EM) log likelihood = -30134.82
Iteration 16: (EM) log likelihood = -30059.822
Iteration 17: (EM) log likelihood = -29997.067
Iteration 18: (EM) log likelihood = -29944.736
Iteration 19: (EM) log likelihood = -29901.024
Iteration 20: (EM) log likelihood = -29865.531
Iteration 21: (EM) log likelihood = -29834.12
Iteration 22: (EM) log likelihood = -29804.826
Iteration 23: (EM) log likelihood = -29779.714
Iteration 24: (EM) log likelihood = -29755.238
Iteration 25: (EM) log likelihood = -29732.147
Iteration 26: (EM) log likelihood = -29709.117
Iteration 27: (EM) log likelihood = -29686.623
Iteration 28: (EM) log likelihood = -29663.805
Iteration 29: (EM) log likelihood = -29640.429
Iteration 30: (EM) log likelihood = -29615.271
Iteration 31: (EM) log likelihood = -29589.36
Iteration 32: (EM) log likelihood = -29562.123
Iteration 33: (EM) log likelihood = -29531.634
Iteration 34: (EM) log likelihood = -29502.99
Iteration 35: (EM) log likelihood = -29472.386
Iteration 36: (EM) log likelihood = -29442.762
Iteration 37: (EM) log likelihood = -29414.694
Iteration 38: (EM) log likelihood = -29385.919
Iteration 39: (EM) log likelihood = -29356.879
Iteration 40: (EM) log likelihood = -29329.396
Iteration 41: (EM) log likelihood = -29303.345
Iteration 42: (EM) log likelihood = -29278.014
Iteration 43: (EM) log likelihood = -29256.13
Iteration 44: (EM) log likelihood = -29236.539
Iteration 45: (EM) log likelihood = -29217.225
Iteration 46: (EM) log likelihood = -29198.211
Iteration 47: (EM) log likelihood = -29179.479
Iteration 48: (EM) log likelihood = -29160.474
Iteration 49: (EM) log likelihood = -29141.068
Iteration 50: (EM) log likelihood = -29122.296
Iteration 51: (EM) log likelihood = -29103.818
Iteration 52: (EM) log likelihood = -29086.642
Iteration 53: (EM) log likelihood = -29070.742
Iteration 54: (EM) log likelihood = -29056.245
Iteration 55: (EM) log likelihood = -29043.265
Iteration 56: (EM) log likelihood = -29031.245
Iteration 57: (EM) log likelihood = -29020.534
Iteration 58: (EM) log likelihood = -29010.492
Iteration 59: (EM) log likelihood = -29001.269
Iteration 60: (EM) log likelihood = -28993.422
Iteration 61: (EM) log likelihood = -28985.945
Iteration 62: (EM) log likelihood = -28979.277
Iteration 63: (EM) log likelihood = -28973.117
Iteration 64: (EM) log likelihood = -28967.585
Iteration 65: (EM) log likelihood = -28962.746
Iteration 66: (EM) log likelihood = -28958.051
Iteration 67: (EM) log likelihood = -28953.553
Iteration 68: (EM) log likelihood = -28949.359
Iteration 69: (EM) log likelihood = -28944.817
Iteration 70: (EM) log likelihood = -28941.334
Iteration 71: (EM) log likelihood = -28937.183
Iteration 72: (EM) log likelihood = -28929.122
Iteration 73: (EM) log likelihood = -28926.269
Iteration 74: (EM) log likelihood = -28922.674
Iteration 75: (EM) log likelihood = -28919.686
Iteration 76: (EM) log likelihood = -28916.746
Iteration 77: (EM) log likelihood = -28912.966
Iteration 78: (EM) log likelihood = -28909.99
Iteration 79: (EM) log likelihood = -28906.761
Iteration 80: (EM) log likelihood = -28903.773
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.3563
Iteration 1: (class) log likelihood = -7371.3563
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29618.142
Iteration 1: (outcome) log likelihood = -29170.815
Iteration 2: (outcome) log likelihood = -29108.875
Iteration 3: (outcome) log likelihood = -29094.003
Iteration 4: (outcome) log likelihood = -29090.819
Iteration 5: (outcome) log likelihood = -29090.069
Iteration 6: (outcome) log likelihood = -29089.899
Iteration 7: (outcome) log likelihood = -29089.862
Iteration 8: (outcome) log likelihood = -29089.856
Iteration 9: (outcome) log likelihood = -29089.855
Iteration 10: (outcome) log likelihood = -29089.855
Iteration 11: (outcome) log likelihood = -29089.855
Refining starting values:
Iteration 0: (EM) log likelihood = -36431.463
Iteration 1: (EM) log likelihood = -36311.437
Iteration 2: (EM) log likelihood = -35914.846
Iteration 3: (EM) log likelihood = -34994.5
Iteration 4: (EM) log likelihood = -33827.396
Iteration 5: (EM) log likelihood = -32845.501
Iteration 6: (EM) log likelihood = -32114.682
Iteration 7: (EM) log likelihood = -31606.042
Iteration 8: (EM) log likelihood = -31240.17
Iteration 9: (EM) log likelihood = -30953.914
Iteration 10: (EM) log likelihood = -30712.9
Iteration 11: (EM) log likelihood = -30499.219
Iteration 12: (EM) log likelihood = -30311.63
Iteration 13: (EM) log likelihood = -30151.926
Iteration 14: (EM) log likelihood = -30015.478
Iteration 15: (EM) log likelihood = -29900.341
Iteration 16: (EM) log likelihood = -29800.101
Iteration 17: (EM) log likelihood = -29715.466
Iteration 18: (EM) log likelihood = -29635.342
Iteration 19: (EM) log likelihood = -29557.532
Iteration 20: (EM) log likelihood = -29478.933
Iteration 21: (EM) log likelihood = -29402.054
Iteration 22: (EM) log likelihood = -29329.295
Iteration 23: (EM) log likelihood = -29263.173
Iteration 24: (EM) log likelihood = -29206.584
Iteration 25: (EM) log likelihood = -29156.771
Iteration 26: (EM) log likelihood = -29113.419
Iteration 27: (EM) log likelihood = -29077.42
Iteration 28: (EM) log likelihood = -29045.46
Iteration 29: (EM) log likelihood = -29017.545
Iteration 30: (EM) log likelihood = -28992.089
Iteration 31: (EM) log likelihood = -28968.223
Iteration 32: (EM) log likelihood = -28945.814
Iteration 33: (EM) log likelihood = -28922.799
Iteration 34: (EM) log likelihood = -28899.982
Iteration 35: (EM) log likelihood = -28878.191
Iteration 36: (EM) log likelihood = -28857.225
Iteration 37: (EM) log likelihood = -28837.466
Iteration 38: (EM) log likelihood = -28819.256
Iteration 39: (EM) log likelihood = -28802.529
Iteration 40: (EM) log likelihood = -28786.669
Iteration 41: (EM) log likelihood = -28770.718
Iteration 42: (EM) log likelihood = -28757.236
Iteration 43: (EM) log likelihood = -28745.356
Iteration 44: (EM) log likelihood = -28733.745
Iteration 45: (EM) log likelihood = -28722.484
Iteration 46: (EM) log likelihood = -28712.413
Iteration 47: (EM) log likelihood = -28702.92
Iteration 48: (EM) log likelihood = -28694.743
Iteration 49: (EM) log likelihood = -28686.712
Iteration 50: (EM) log likelihood = -28679.2
Iteration 51: (EM) log likelihood = -28671.116
Iteration 52: (EM) log likelihood = -28663.743
Iteration 53: (EM) log likelihood = -28658.097
Iteration 54: (EM) log likelihood = -28650.676
Iteration 55: (EM) log likelihood = -28643.017
Iteration 56: (EM) log likelihood = -28636.168
Iteration 57: (EM) log likelihood = -28630.956
Iteration 58: (EM) log likelihood = -28626.556
Iteration 59: (EM) log likelihood = -28621.804
Iteration 60: (EM) log likelihood = -28617.003
Iteration 61: (EM) log likelihood = -28612.557
Iteration 62: (EM) log likelihood = -28608.136
Iteration 63: (EM) log likelihood = -28603.879
Iteration 64: (EM) log likelihood = -28599.23
Iteration 65: (EM) log likelihood = -28595.037
Iteration 66: (EM) log likelihood = -28590.351
Iteration 67: (EM) log likelihood = -28586.683
Iteration 68: (EM) log likelihood = -28583.208
Iteration 69: (EM) log likelihood = -28579.973
Iteration 70: (EM) log likelihood = -28576.829
Iteration 71: (EM) log likelihood = -28571.797
Iteration 72: (EM) log likelihood = -28568.638
Iteration 73: (EM) log likelihood = -28565.49
Iteration 74: (EM) log likelihood = -28563.166
Iteration 75: (EM) log likelihood = -28559.506
Iteration 76: (EM) log likelihood = -28557.929
Iteration 77: (EM) log likelihood = -28557.351
Iteration 78: (EM) log likelihood = -28555.004
Iteration 79: (EM) log likelihood = -28552.991
Iteration 80: (EM) log likelihood = -28551.521
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.3484
Iteration 1: (class) log likelihood = -7370.3484
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30275.599
Iteration 1: (outcome) log likelihood = -29315.989
Iteration 2: (outcome) log likelihood = -29137.896
Iteration 3: (outcome) log likelihood = -29101.463
Iteration 4: (outcome) log likelihood = -29092.972
Iteration 5: (outcome) log likelihood = -29091.081
Iteration 6: (outcome) log likelihood = -29090.658
Iteration 7: (outcome) log likelihood = -29090.595
Iteration 8: (outcome) log likelihood = -29090.588
Iteration 9: (outcome) log likelihood = -29090.586
Iteration 10: (outcome) log likelihood = -29090.586
Iteration 11: (outcome) log likelihood = -29090.586
Iteration 12: (outcome) log likelihood = -29090.586
Refining starting values:
Iteration 0: (EM) log likelihood = -36421.486
Iteration 1: (EM) log likelihood = -36287.418
Iteration 2: (EM) log likelihood = -35881.173
Iteration 3: (EM) log likelihood = -34919.084
Iteration 4: (EM) log likelihood = -33696.848
Iteration 5: (EM) log likelihood = -32803.665
Iteration 6: (EM) log likelihood = -32189.789
Iteration 7: (EM) log likelihood = -31740.936
Iteration 8: (EM) log likelihood = -31405.427
Iteration 9: (EM) log likelihood = -31132.948
Iteration 10: (EM) log likelihood = -30891.767
Iteration 11: (EM) log likelihood = -30661.821
Iteration 12: (EM) log likelihood = -30445.368
Iteration 13: (EM) log likelihood = -30254.532
Iteration 14: (EM) log likelihood = -30093.205
Iteration 15: (EM) log likelihood = -29960.496
Iteration 16: (EM) log likelihood = -29854.37
Iteration 17: (EM) log likelihood = -29772.424
Iteration 18: (EM) log likelihood = -29705.263
Iteration 19: (EM) log likelihood = -29650.156
Iteration 20: (EM) log likelihood = -29603.65
Iteration 21: (EM) log likelihood = -29564.009
Iteration 22: (EM) log likelihood = -29528.935
Iteration 23: (EM) log likelihood = -29495.574
Iteration 24: (EM) log likelihood = -29464.01
Iteration 25: (EM) log likelihood = -29434.402
Iteration 26: (EM) log likelihood = -29406.979
Iteration 27: (EM) log likelihood = -29381.194
Iteration 28: (EM) log likelihood = -29357.907
Iteration 29: (EM) log likelihood = -29335.641
Iteration 30: (EM) log likelihood = -29315.102
Iteration 31: (EM) log likelihood = -29296.027
Iteration 32: (EM) log likelihood = -29279.385
Iteration 33: (EM) log likelihood = -29263.806
Iteration 34: (EM) log likelihood = -29250.473
Iteration 35: (EM) log likelihood = -29238.532
Iteration 36: (EM) log likelihood = -29228.237
Iteration 37: (EM) log likelihood = -29219.067
Iteration 38: (EM) log likelihood = -29210.415
Iteration 39: (EM) log likelihood = -29203.601
Iteration 40: (EM) log likelihood = -29196.985
Iteration 41: (EM) log likelihood = -29190.64
Iteration 42: (EM) log likelihood = -29184.126
Iteration 43: (EM) log likelihood = -29177.422
Iteration 44: (EM) log likelihood = -29170.403
Iteration 45: (EM) log likelihood = -29163.535
Iteration 46: (EM) log likelihood = -29156.384
Iteration 47: (EM) log likelihood = -29148.466
Iteration 48: (EM) log likelihood = -29140.356
Iteration 49: (EM) log likelihood = -29132.95
Iteration 50: (EM) log likelihood = -29125.33
Iteration 51: (EM) log likelihood = -29117.737
Iteration 52: (EM) log likelihood = -29110.327
Iteration 53: (EM) log likelihood = -29103.395
Iteration 54: (EM) log likelihood = -29096.997
Iteration 55: (EM) log likelihood = -29091.392
Iteration 56: (EM) log likelihood = -29086.421
Iteration 57: (EM) log likelihood = -29082.242
Iteration 58: (EM) log likelihood = -29078.734
Iteration 59: (EM) log likelihood = -29075.818
Iteration 60: (EM) log likelihood = -29073.045
Iteration 61: (EM) log likelihood = -29070.722
Iteration 62: (EM) log likelihood = -29068.892
Iteration 63: (EM) log likelihood = -29067.221
Iteration 64: (EM) log likelihood = -29065.486
Iteration 65: (EM) log likelihood = -29063.986
Iteration 66: (EM) log likelihood = -29062.737
Iteration 67: (EM) log likelihood = -29061.649
Iteration 68: (EM) log likelihood = -29060.812
Iteration 69: (EM) log likelihood = -29059.745
Iteration 70: (EM) log likelihood = -29058.91
Iteration 71: (EM) log likelihood = -29057.88
Iteration 72: (EM) log likelihood = -29056.917
Iteration 73: (EM) log likelihood = -29056.054
Iteration 74: (EM) log likelihood = -29054.608
Iteration 75: (EM) log likelihood = -29052.457
Iteration 76: (EM) log likelihood = -29050.837
Iteration 77: (EM) log likelihood = -29049.188
Iteration 78: (EM) log likelihood = -29047.393
Iteration 79: (EM) log likelihood = -29045.467
Iteration 80: (EM) log likelihood = -29043.228
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7366.5606
Iteration 1: (class) log likelihood = -7366.5606
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30168.329
Iteration 1: (outcome) log likelihood = -29319.745
Iteration 2: (outcome) log likelihood = -29137.828
Iteration 3: (outcome) log likelihood = -29107.245
Iteration 4: (outcome) log likelihood = -29100.94
Iteration 5: (outcome) log likelihood = -29099.503
Iteration 6: (outcome) log likelihood = -29099.272
Iteration 7: (outcome) log likelihood = -29099.215
Iteration 8: (outcome) log likelihood = -29099.204
Iteration 9: (outcome) log likelihood = -29099.201
Iteration 10: (outcome) log likelihood = -29099.201
Iteration 11: (outcome) log likelihood = -29099.2
Iteration 12: (outcome) log likelihood = -29099.2
Refining starting values:
Iteration 0: (EM) log likelihood = -36445.746
Iteration 1: (EM) log likelihood = -36358.272
Iteration 2: (EM) log likelihood = -36057.957
Iteration 3: (EM) log likelihood = -35253.388
Iteration 4: (EM) log likelihood = -34108.756
Iteration 5: (EM) log likelihood = -33200.956
Iteration 6: (EM) log likelihood = -32551.198
Iteration 7: (EM) log likelihood = -32039.08
Iteration 8: (EM) log likelihood = -31613.602
Iteration 9: (EM) log likelihood = -31286.332
Iteration 10: (EM) log likelihood = -31053.268
Iteration 11: (EM) log likelihood = -30880.796
Iteration 12: (EM) log likelihood = -30748.158
Iteration 13: (EM) log likelihood = -30639.396
Iteration 14: (EM) log likelihood = -30542.498
Iteration 15: (EM) log likelihood = -30449.42
Iteration 16: (EM) log likelihood = -30352.862
Iteration 17: (EM) log likelihood = -30251.975
Iteration 18: (EM) log likelihood = -30148.096
Iteration 19: (EM) log likelihood = -30046.826
Iteration 20: (EM) log likelihood = -29949.377
Iteration 21: (EM) log likelihood = -29859.94
Iteration 22: (EM) log likelihood = -29777.488
Iteration 23: (EM) log likelihood = -29702.531
Iteration 24: (EM) log likelihood = -29634.376
Iteration 25: (EM) log likelihood = -29572.625
Iteration 26: (EM) log likelihood = -29514.619
Iteration 27: (EM) log likelihood = -29461.807
Iteration 28: (EM) log likelihood = -29411.648
Iteration 29: (EM) log likelihood = -29363.339
Iteration 30: (EM) log likelihood = -29317.638
Iteration 31: (EM) log likelihood = -29269.063
Iteration 32: (EM) log likelihood = -29222.114
Iteration 33: (EM) log likelihood = -29174.583
Iteration 34: (EM) log likelihood = -29126.494
Iteration 35: (EM) log likelihood = -29079.917
Iteration 36: (EM) log likelihood = -29036.85
Iteration 37: (EM) log likelihood = -28992.696
Iteration 38: (EM) log likelihood = -28955.386
Iteration 39: (EM) log likelihood = -28918.142
Iteration 40: (EM) log likelihood = -28887.94
Iteration 41: (EM) log likelihood = -28857.251
Iteration 42: (EM) log likelihood = -28829.241
Iteration 43: (EM) log likelihood = -28803.865
Iteration 44: (EM) log likelihood = -28780.961
Iteration 45: (EM) log likelihood = -28760.435
Iteration 46: (EM) log likelihood = -28742.016
Iteration 47: (EM) log likelihood = -28724.739
Iteration 48: (EM) log likelihood = -28708.853
Iteration 49: (EM) log likelihood = -28694.434
Iteration 50: (EM) log likelihood = -28680.268
Iteration 51: (EM) log likelihood = -28666.395
Iteration 52: (EM) log likelihood = -28653.053
Iteration 53: (EM) log likelihood = -28639.454
Iteration 54: (EM) log likelihood = -28625.902
Iteration 55: (EM) log likelihood = -28611.535
Iteration 56: (EM) log likelihood = -28597.076
Iteration 57: (EM) log likelihood = -28581.058
Iteration 58: (EM) log likelihood = -28563.935
Iteration 59: (EM) log likelihood = -28546.615
Iteration 60: (EM) log likelihood = -28527.378
Iteration 61: (EM) log likelihood = -28507.567
Iteration 62: (EM) log likelihood = -28486.603
Iteration 63: (EM) log likelihood = -28465.975
Iteration 64: (EM) log likelihood = -28444.9
Iteration 65: (EM) log likelihood = -28424.35
Iteration 66: (EM) log likelihood = -28404.327
Iteration 67: (EM) log likelihood = -28385.469
Iteration 68: (EM) log likelihood = -28368.607
Iteration 69: (EM) log likelihood = -28351.308
Iteration 70: (EM) log likelihood = -28334.823
Iteration 71: (EM) log likelihood = -28319.042
Iteration 72: (EM) log likelihood = -28300.976
Iteration 73: (EM) log likelihood = -28287.322
Iteration 74: (EM) log likelihood = -28273.462
Iteration 75: (EM) log likelihood = -28259.221
Iteration 76: (EM) log likelihood = -28245.992
Iteration 77: (EM) log likelihood = -28234.54
Iteration 78: (EM) log likelihood = -28223.022
Iteration 79: (EM) log likelihood = -28212.642
Iteration 80: (EM) log likelihood = -28204.413
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.0914
Iteration 1: (class) log likelihood = -7370.0914
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29853.216
Iteration 1: (outcome) log likelihood = -29199.125
Iteration 2: (outcome) log likelihood = -29109.73
Iteration 3: (outcome) log likelihood = -29088.829
Iteration 4: (outcome) log likelihood = -29084.523
Iteration 5: (outcome) log likelihood = -29083.563
Iteration 6: (outcome) log likelihood = -29083.393
Iteration 7: (outcome) log likelihood = -29083.354
Iteration 8: (outcome) log likelihood = -29083.344
Iteration 9: (outcome) log likelihood = -29083.343
Iteration 10: (outcome) log likelihood = -29083.342
Iteration 11: (outcome) log likelihood = -29083.342
Iteration 12: (outcome) log likelihood = -29083.342
Refining starting values:
Iteration 0: (EM) log likelihood = -36409.359
Iteration 1: (EM) log likelihood = -36226.386
Iteration 2: (EM) log likelihood = -35588.872
Iteration 3: (EM) log likelihood = -34350.87
Iteration 4: (EM) log likelihood = -33247.891
Iteration 5: (EM) log likelihood = -32520.868
Iteration 6: (EM) log likelihood = -32028.604
Iteration 7: (EM) log likelihood = -31661.299
Iteration 8: (EM) log likelihood = -31341.283
Iteration 9: (EM) log likelihood = -31039.777
Iteration 10: (EM) log likelihood = -30764.901
Iteration 11: (EM) log likelihood = -30526.272
Iteration 12: (EM) log likelihood = -30323.775
Iteration 13: (EM) log likelihood = -30159.682
Iteration 14: (EM) log likelihood = -30028.665
Iteration 15: (EM) log likelihood = -29920.339
Iteration 16: (EM) log likelihood = -29835.371
Iteration 17: (EM) log likelihood = -29767.058
Iteration 18: (EM) log likelihood = -29710.36
Iteration 19: (EM) log likelihood = -29661.253
Iteration 20: (EM) log likelihood = -29616.32
Iteration 21: (EM) log likelihood = -29577.018
Iteration 22: (EM) log likelihood = -29541.059
Iteration 23: (EM) log likelihood = -29506.344
Iteration 24: (EM) log likelihood = -29475.283
Iteration 25: (EM) log likelihood = -29443.589
Iteration 26: (EM) log likelihood = -29412.581
Iteration 27: (EM) log likelihood = -29382.009
Iteration 28: (EM) log likelihood = -29353.073
Iteration 29: (EM) log likelihood = -29322.911
Iteration 30: (EM) log likelihood = -29295.21
Iteration 31: (EM) log likelihood = -29266.198
Iteration 32: (EM) log likelihood = -29239.367
Iteration 33: (EM) log likelihood = -29214.524
Iteration 34: (EM) log likelihood = -29191.068
Iteration 35: (EM) log likelihood = -29168.575
Iteration 36: (EM) log likelihood = -29150.538
Iteration 37: (EM) log likelihood = -29133.394
Iteration 38: (EM) log likelihood = -29116.8
Iteration 39: (EM) log likelihood = -29101.037
Iteration 40: (EM) log likelihood = -29087.907
Iteration 41: (EM) log likelihood = -29074.255
Iteration 42: (EM) log likelihood = -29062.609
Iteration 43: (EM) log likelihood = -29050.751
Iteration 44: (EM) log likelihood = -29039.71
Iteration 45: (EM) log likelihood = -29029.145
Iteration 46: (EM) log likelihood = -29019.933
Iteration 47: (EM) log likelihood = -29009.982
Iteration 48: (EM) log likelihood = -29000.616
Iteration 49: (EM) log likelihood = -28992.25
Iteration 50: (EM) log likelihood = -28983.916
Iteration 51: (EM) log likelihood = -28974.798
Iteration 52: (EM) log likelihood = -28966.455
Iteration 53: (EM) log likelihood = -28957.942
Iteration 54: (EM) log likelihood = -28950.019
Iteration 55: (EM) log likelihood = -28942.932
Iteration 56: (EM) log likelihood = -28936.307
Iteration 57: (EM) log likelihood = -28929.246
Iteration 58: (EM) log likelihood = -28922.495
Iteration 59: (EM) log likelihood = -28915.397
Iteration 60: (EM) log likelihood = -28908.712
Iteration 61: (EM) log likelihood = -28900.77
Iteration 62: (EM) log likelihood = -28892.157
Iteration 63: (EM) log likelihood = -28883.572
Iteration 64: (EM) log likelihood = -28874.746
Iteration 65: (EM) log likelihood = -28866.633
Iteration 66: (EM) log likelihood = -28858.195
Iteration 67: (EM) log likelihood = -28850.458
Iteration 68: (EM) log likelihood = -28843.203
Iteration 69: (EM) log likelihood = -28836.086
Iteration 70: (EM) log likelihood = -28828.307
Iteration 71: (EM) log likelihood = -28821.484
Iteration 72: (EM) log likelihood = -28816.64
Iteration 73: (EM) log likelihood = -28809.849
Iteration 74: (EM) log likelihood = -28803.066
Iteration 75: (EM) log likelihood = -28797.582
Iteration 76: (EM) log likelihood = -28792.043
Iteration 77: (EM) log likelihood = -28786.804
Iteration 78: (EM) log likelihood = -28780.759
Iteration 79: (EM) log likelihood = -28774.966
Iteration 80: (EM) log likelihood = -28769.937
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.8214
Iteration 1: (class) log likelihood = -7371.8214
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29259.142
Iteration 1: (outcome) log likelihood = -29139.852
Iteration 2: (outcome) log likelihood = -29102.893
Iteration 3: (outcome) log likelihood = -29096.743
Iteration 4: (outcome) log likelihood = -29095.44
Iteration 5: (outcome) log likelihood = -29095.171
Iteration 6: (outcome) log likelihood = -29095.111
Iteration 7: (outcome) log likelihood = -29095.096
Iteration 8: (outcome) log likelihood = -29095.093
Iteration 9: (outcome) log likelihood = -29095.092
Iteration 10: (outcome) log likelihood = -29095.092
Iteration 11: (outcome) log likelihood = -29095.092
Refining starting values:
Iteration 0: (EM) log likelihood = -36440.521
Iteration 1: (EM) log likelihood = -36335.975
Iteration 2: (EM) log likelihood = -36016.86
Iteration 3: (EM) log likelihood = -35269.682
Iteration 4: (EM) log likelihood = -34117.462
Iteration 5: (EM) log likelihood = -33026.662
Iteration 6: (EM) log likelihood = -32277.863
Iteration 7: (EM) log likelihood = -31792.758
Iteration 8: (EM) log likelihood = -31422.272
Iteration 9: (EM) log likelihood = -31086.488
Iteration 10: (EM) log likelihood = -30770.35
Iteration 11: (EM) log likelihood = -30483.138
Iteration 12: (EM) log likelihood = -30236.018
Iteration 13: (EM) log likelihood = -30023.782
Iteration 14: (EM) log likelihood = -29843.91
Iteration 15: (EM) log likelihood = -29688.051
Iteration 16: (EM) log likelihood = -29551.652
Iteration 17: (EM) log likelihood = -29440.598
Iteration 18: (EM) log likelihood = -29346.697
Iteration 19: (EM) log likelihood = -29269.757
Iteration 20: (EM) log likelihood = -29203.699
Iteration 21: (EM) log likelihood = -29147.191
Iteration 22: (EM) log likelihood = -29096.216
Iteration 23: (EM) log likelihood = -29052.972
Iteration 24: (EM) log likelihood = -29013.063
Iteration 25: (EM) log likelihood = -28975.522
Iteration 26: (EM) log likelihood = -28942.814
Iteration 27: (EM) log likelihood = -28912.91
Iteration 28: (EM) log likelihood = -28882.665
Iteration 29: (EM) log likelihood = -28854.756
Iteration 30: (EM) log likelihood = -28830.296
Iteration 31: (EM) log likelihood = -28808.527
Iteration 32: (EM) log likelihood = -28787.497
Iteration 33: (EM) log likelihood = -28771.656
Iteration 34: (EM) log likelihood = -28754.147
Iteration 35: (EM) log likelihood = -28737.612
Iteration 36: (EM) log likelihood = -28724.227
Iteration 37: (EM) log likelihood = -28710.016
Iteration 38: (EM) log likelihood = -28695.309
Iteration 39: (EM) log likelihood = -28684.379
Iteration 40: (EM) log likelihood = -28673.564
Iteration 41: (EM) log likelihood = -28663.556
Iteration 42: (EM) log likelihood = -28654.183
Iteration 43: (EM) log likelihood = -28644.22
Iteration 44: (EM) log likelihood = -28635.065
Iteration 45: (EM) log likelihood = -28625.127
Iteration 46: (EM) log likelihood = -28616.957
Iteration 47: (EM) log likelihood = -28608.276
Iteration 48: (EM) log likelihood = -28600.605
Iteration 49: (EM) log likelihood = -28591.812
Iteration 50: (EM) log likelihood = -28582.387
Iteration 51: (EM) log likelihood = -28575.165
Iteration 52: (EM) log likelihood = -28569.156
Iteration 53: (EM) log likelihood = -28563.224
Iteration 54: (EM) log likelihood = -28557.096
Iteration 55: (EM) log likelihood = -28551.049
Iteration 56: (EM) log likelihood = -28543.716
Iteration 57: (EM) log likelihood = -28537.977
Iteration 58: (EM) log likelihood = -28529.708
Iteration 59: (EM) log likelihood = -28523.919
Iteration 60: (EM) log likelihood = -28516.959
Iteration 61: (EM) log likelihood = -28512.004
Iteration 62: (EM) log likelihood = -28504.752
Iteration 63: (EM) log likelihood = -28499.066
Iteration 64: (EM) log likelihood = -28492.122
Iteration 65: (EM) log likelihood = -28486.523
Iteration 66: (EM) log likelihood = -28479.431
Iteration 67: (EM) log likelihood = -28473.774
Iteration 68: (EM) log likelihood = -28467.05
Iteration 69: (EM) log likelihood = -28460.485
Iteration 70: (EM) log likelihood = -28455.104
Iteration 71: (EM) log likelihood = -28449.662
Iteration 72: (EM) log likelihood = -28443.481
Iteration 73: (EM) log likelihood = -28438.267
Iteration 74: (EM) log likelihood = -28432.169
Iteration 75: (EM) log likelihood = -28427.289
Iteration 76: (EM) log likelihood = -28422.296
Iteration 77: (EM) log likelihood = -28417.854
Iteration 78: (EM) log likelihood = -28413.408
Iteration 79: (EM) log likelihood = -28409.084
Iteration 80: (EM) log likelihood = -28404.058
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7368.9863
Iteration 1: (class) log likelihood = -7368.9863
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29617.435
Iteration 1: (outcome) log likelihood = -29212.11
Iteration 2: (outcome) log likelihood = -29119.583
Iteration 3: (outcome) log likelihood = -29105.773
Iteration 4: (outcome) log likelihood = -29102.819
Iteration 5: (outcome) log likelihood = -29102.166
Iteration 6: (outcome) log likelihood = -29102.061
Iteration 7: (outcome) log likelihood = -29102.035
Iteration 8: (outcome) log likelihood = -29102.03
Iteration 9: (outcome) log likelihood = -29102.029
Iteration 10: (outcome) log likelihood = -29102.029
Iteration 11: (outcome) log likelihood = -29102.029
Iteration 12: (outcome) log likelihood = -29102.029
Refining starting values:
Iteration 0: (EM) log likelihood = -36433.271
Iteration 1: (EM) log likelihood = -36280.392
Iteration 2: (EM) log likelihood = -35725.576
Iteration 3: (EM) log likelihood = -34540.787
Iteration 4: (EM) log likelihood = -33487.624
Iteration 5: (EM) log likelihood = -32851.597
Iteration 6: (EM) log likelihood = -32395.152
Iteration 7: (EM) log likelihood = -31972.613
Iteration 8: (EM) log likelihood = -31564.675
Iteration 9: (EM) log likelihood = -31210.368
Iteration 10: (EM) log likelihood = -30921.777
Iteration 11: (EM) log likelihood = -30692.808
Iteration 12: (EM) log likelihood = -30503.507
Iteration 13: (EM) log likelihood = -30349.799
Iteration 14: (EM) log likelihood = -30225.052
Iteration 15: (EM) log likelihood = -30124.633
Iteration 16: (EM) log likelihood = -30043.869
Iteration 17: (EM) log likelihood = -29979.336
Iteration 18: (EM) log likelihood = -29927.438
Iteration 19: (EM) log likelihood = -29883.469
Iteration 20: (EM) log likelihood = -29843.429
Iteration 21: (EM) log likelihood = -29804.651
Iteration 22: (EM) log likelihood = -29767.982
Iteration 23: (EM) log likelihood = -29733.003
Iteration 24: (EM) log likelihood = -29701.728
Iteration 25: (EM) log likelihood = -29674.037
Iteration 26: (EM) log likelihood = -29648.419
Iteration 27: (EM) log likelihood = -29625.521
Iteration 28: (EM) log likelihood = -29603.442
Iteration 29: (EM) log likelihood = -29583.963
Iteration 30: (EM) log likelihood = -29565.487
Iteration 31: (EM) log likelihood = -29547.349
Iteration 32: (EM) log likelihood = -29528.093
Iteration 33: (EM) log likelihood = -29508.951
Iteration 34: (EM) log likelihood = -29488.584
Iteration 35: (EM) log likelihood = -29469.471
Iteration 36: (EM) log likelihood = -29447.544
Iteration 37: (EM) log likelihood = -29425.973
Iteration 38: (EM) log likelihood = -29403.332
Iteration 39: (EM) log likelihood = -29379.035
Iteration 40: (EM) log likelihood = -29353.087
Iteration 41: (EM) log likelihood = -29326.736
Iteration 42: (EM) log likelihood = -29299.118
Iteration 43: (EM) log likelihood = -29270.288
Iteration 44: (EM) log likelihood = -29241.293
Iteration 45: (EM) log likelihood = -29210.358
Iteration 46: (EM) log likelihood = -29179.934
Iteration 47: (EM) log likelihood = -29148.194
Iteration 48: (EM) log likelihood = -29114.261
Iteration 49: (EM) log likelihood = -29080.245
Iteration 50: (EM) log likelihood = -29045.061
Iteration 51: (EM) log likelihood = -29008.48
Iteration 52: (EM) log likelihood = -28971.599
Iteration 53: (EM) log likelihood = -28935.878
Iteration 54: (EM) log likelihood = -28900.007
Iteration 55: (EM) log likelihood = -28868.672
Iteration 56: (EM) log likelihood = -28839.123
Iteration 57: (EM) log likelihood = -28807.155
Iteration 58: (EM) log likelihood = -28777.817
Iteration 59: (EM) log likelihood = -28754.34
Iteration 60: (EM) log likelihood = -28732.141
Iteration 61: (EM) log likelihood = -28717.352
Iteration 62: (EM) log likelihood = -28702.76
Iteration 63: (EM) log likelihood = -28690.139
Iteration 64: (EM) log likelihood = -28677.078
Iteration 65: (EM) log likelihood = -28665.758
Iteration 66: (EM) log likelihood = -28657.179
Iteration 67: (EM) log likelihood = -28648.731
Iteration 68: (EM) log likelihood = -28639.729
Iteration 69: (EM) log likelihood = -28632.568
Iteration 70: (EM) log likelihood = -28626.151
Iteration 71: (EM) log likelihood = -28619.825
Iteration 72: (EM) log likelihood = -28612.957
Iteration 73: (EM) log likelihood = -28610.638
Iteration 74: (EM) log likelihood = -28606.185
Iteration 75: (EM) log likelihood = -28600.62
Iteration 76: (EM) log likelihood = -28595.665
Iteration 77: (EM) log likelihood = -28592.103
Iteration 78: (EM) log likelihood = -28591.491
Iteration 79: (EM) log likelihood = -28587
Iteration 80: (EM) log likelihood = -28586.745
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7372.5169
Iteration 1: (class) log likelihood = -7372.5169
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30157.277
Iteration 1: (outcome) log likelihood = -29317.679
Iteration 2: (outcome) log likelihood = -29129.116
Iteration 3: (outcome) log likelihood = -29096.543
Iteration 4: (outcome) log likelihood = -29088.638
Iteration 5: (outcome) log likelihood = -29086.983
Iteration 6: (outcome) log likelihood = -29086.634
Iteration 7: (outcome) log likelihood = -29086.556
Iteration 8: (outcome) log likelihood = -29086.536
Iteration 9: (outcome) log likelihood = -29086.532
Iteration 10: (outcome) log likelihood = -29086.532
Iteration 11: (outcome) log likelihood = -29086.531
Iteration 12: (outcome) log likelihood = -29086.531
Iteration 13: (outcome) log likelihood = -29086.531
Refining starting values:
Iteration 0: (EM) log likelihood = -36434.108
Iteration 1: (EM) log likelihood = -36347.714
Iteration 2: (EM) log likelihood = -36111.972
Iteration 3: (EM) log likelihood = -35589.228
Iteration 4: (EM) log likelihood = -34781.52
Iteration 5: (EM) log likelihood = -33883.396
Iteration 6: (EM) log likelihood = -33073.852
Iteration 7: (EM) log likelihood = -32417.534
Iteration 8: (EM) log likelihood = -31894.403
Iteration 9: (EM) log likelihood = -31482.013
Iteration 10: (EM) log likelihood = -31145.257
Iteration 11: (EM) log likelihood = -30868.135
Iteration 12: (EM) log likelihood = -30650.296
Iteration 13: (EM) log likelihood = -30485.092
Iteration 14: (EM) log likelihood = -30363.176
Iteration 15: (EM) log likelihood = -30266.458
Iteration 16: (EM) log likelihood = -30185.682
Iteration 17: (EM) log likelihood = -30111.073
Iteration 18: (EM) log likelihood = -30042.505
Iteration 19: (EM) log likelihood = -29976.469
Iteration 20: (EM) log likelihood = -29915.507
Iteration 21: (EM) log likelihood = -29861.096
Iteration 22: (EM) log likelihood = -29811.08
Iteration 23: (EM) log likelihood = -29763.433
Iteration 24: (EM) log likelihood = -29718.931
Iteration 25: (EM) log likelihood = -29677
Iteration 26: (EM) log likelihood = -29634.856
Iteration 27: (EM) log likelihood = -29592.273
Iteration 28: (EM) log likelihood = -29549.421
Iteration 29: (EM) log likelihood = -29506.299
Iteration 30: (EM) log likelihood = -29463.356
Iteration 31: (EM) log likelihood = -29421.055
Iteration 32: (EM) log likelihood = -29378.032
Iteration 33: (EM) log likelihood = -29335.875
Iteration 34: (EM) log likelihood = -29293.798
Iteration 35: (EM) log likelihood = -29253.707
Iteration 36: (EM) log likelihood = -29214.271
Iteration 37: (EM) log likelihood = -29173.554
Iteration 38: (EM) log likelihood = -29134.819
Iteration 39: (EM) log likelihood = -29095.939
Iteration 40: (EM) log likelihood = -29062.426
Iteration 41: (EM) log likelihood = -29026.349
Iteration 42: (EM) log likelihood = -28995.508
Iteration 43: (EM) log likelihood = -28963.659
Iteration 44: (EM) log likelihood = -28935.773
Iteration 45: (EM) log likelihood = -28908.765
Iteration 46: (EM) log likelihood = -28884.445
Iteration 47: (EM) log likelihood = -28858.398
Iteration 48: (EM) log likelihood = -28833.842
Iteration 49: (EM) log likelihood = -28812.275
Iteration 50: (EM) log likelihood = -28791.528
Iteration 51: (EM) log likelihood = -28771.132
Iteration 52: (EM) log likelihood = -28749.406
Iteration 53: (EM) log likelihood = -28731.299
Iteration 54: (EM) log likelihood = -28714.864
Iteration 55: (EM) log likelihood = -28698.142
Iteration 56: (EM) log likelihood = -28679.56
Iteration 57: (EM) log likelihood = -28671.488
Iteration 58: (EM) log likelihood = -28652.205
Iteration 59: (EM) log likelihood = -28634.441
Iteration 60: (EM) log likelihood = -28619.119
Iteration 61: (EM) log likelihood = -28603.188
Iteration 62: (EM) log likelihood = -28590.103
Iteration 63: (EM) log likelihood = -28575.256
Iteration 64: (EM) log likelihood = -28560.666
Iteration 65: (EM) log likelihood = -28547.064
Iteration 66: (EM) log likelihood = -28533.87
Iteration 67: (EM) log likelihood = -28517.415
Iteration 68: (EM) log likelihood = -28506.594
Iteration 69: (EM) log likelihood = -28494.435
Iteration 70: (EM) log likelihood = -28480.866
Iteration 71: (EM) log likelihood = -28469.33
Iteration 72: (EM) log likelihood = -28455.907
Iteration 73: (EM) log likelihood = -28443.037
Iteration 74: (EM) log likelihood = -28430.725
Iteration 75: (EM) log likelihood = -28418.585
Iteration 76: (EM) log likelihood = -28406
Iteration 77: (EM) log likelihood = -28394.243
Iteration 78: (EM) log likelihood = -28381.996
Iteration 79: (EM) log likelihood = -28371.305
Iteration 80: (EM) log likelihood = -28359.884
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7368.8196
Iteration 1: (class) log likelihood = -7368.8196
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29736.891
Iteration 1: (outcome) log likelihood = -29236.427
Iteration 2: (outcome) log likelihood = -29117.641
Iteration 3: (outcome) log likelihood = -29096.273
Iteration 4: (outcome) log likelihood = -29092.59
Iteration 5: (outcome) log likelihood = -29091.751
Iteration 6: (outcome) log likelihood = -29091.546
Iteration 7: (outcome) log likelihood = -29091.504
Iteration 8: (outcome) log likelihood = -29091.495
Iteration 9: (outcome) log likelihood = -29091.493
Iteration 10: (outcome) log likelihood = -29091.492
Iteration 11: (outcome) log likelihood = -29091.492
Iteration 12: (outcome) log likelihood = -29091.492
Refining starting values:
Iteration 0: (EM) log likelihood = -36421.723
Iteration 1: (EM) log likelihood = -36252.637
Iteration 2: (EM) log likelihood = -35617.555
Iteration 3: (EM) log likelihood = -34369.239
Iteration 4: (EM) log likelihood = -33336.368
Iteration 5: (EM) log likelihood = -32686.631
Iteration 6: (EM) log likelihood = -32203.345
Iteration 7: (EM) log likelihood = -31807.129
Iteration 8: (EM) log likelihood = -31465.393
Iteration 9: (EM) log likelihood = -31168.389
Iteration 10: (EM) log likelihood = -30897.945
Iteration 11: (EM) log likelihood = -30649.342
Iteration 12: (EM) log likelihood = -30425.15
Iteration 13: (EM) log likelihood = -30228.486
Iteration 14: (EM) log likelihood = -30058.458
Iteration 15: (EM) log likelihood = -29910.249
Iteration 16: (EM) log likelihood = -29784.031
Iteration 17: (EM) log likelihood = -29679.832
Iteration 18: (EM) log likelihood = -29589.57
Iteration 19: (EM) log likelihood = -29511.667
Iteration 20: (EM) log likelihood = -29442.099
Iteration 21: (EM) log likelihood = -29380.215
Iteration 22: (EM) log likelihood = -29324.536
Iteration 23: (EM) log likelihood = -29274.485
Iteration 24: (EM) log likelihood = -29229.162
Iteration 25: (EM) log likelihood = -29188.797
Iteration 26: (EM) log likelihood = -29153.245
Iteration 27: (EM) log likelihood = -29120.988
Iteration 28: (EM) log likelihood = -29092.196
Iteration 29: (EM) log likelihood = -29066.222
Iteration 30: (EM) log likelihood = -29043.835
Iteration 31: (EM) log likelihood = -29022.618
Iteration 32: (EM) log likelihood = -29003.321
Iteration 33: (EM) log likelihood = -28985.813
Iteration 34: (EM) log likelihood = -28970.495
Iteration 35: (EM) log likelihood = -28956.357
Iteration 36: (EM) log likelihood = -28942.557
Iteration 37: (EM) log likelihood = -28930.256
Iteration 38: (EM) log likelihood = -28918.049
Iteration 39: (EM) log likelihood = -28906.525
Iteration 40: (EM) log likelihood = -28894.427
Iteration 41: (EM) log likelihood = -28883.691
Iteration 42: (EM) log likelihood = -28873.146
Iteration 43: (EM) log likelihood = -28864.305
Iteration 44: (EM) log likelihood = -28855.514
Iteration 45: (EM) log likelihood = -28846.359
Iteration 46: (EM) log likelihood = -28838.37
Iteration 47: (EM) log likelihood = -28829.918
Iteration 48: (EM) log likelihood = -28822.036
Iteration 49: (EM) log likelihood = -28814.462
Iteration 50: (EM) log likelihood = -28807.903
Iteration 51: (EM) log likelihood = -28799.944
Iteration 52: (EM) log likelihood = -28793.041
Iteration 53: (EM) log likelihood = -28786.236
Iteration 54: (EM) log likelihood = -28778.987
Iteration 55: (EM) log likelihood = -28773.051
Iteration 56: (EM) log likelihood = -28765.659
Iteration 57: (EM) log likelihood = -28758.595
Iteration 58: (EM) log likelihood = -28751.674
Iteration 59: (EM) log likelihood = -28745.58
Iteration 60: (EM) log likelihood = -28739.613
Iteration 61: (EM) log likelihood = -28733.903
Iteration 62: (EM) log likelihood = -28728.081
Iteration 63: (EM) log likelihood = -28721.943
Iteration 64: (EM) log likelihood = -28714.057
Iteration 65: (EM) log likelihood = -28708.704
Iteration 66: (EM) log likelihood = -28704.087
Iteration 67: (EM) log likelihood = -28698.487
Iteration 68: (EM) log likelihood = -28693.277
Iteration 69: (EM) log likelihood = -28687.925
Iteration 70: (EM) log likelihood = -28682.285
Iteration 71: (EM) log likelihood = -28676.479
Iteration 72: (EM) log likelihood = -28671.928
Iteration 73: (EM) log likelihood = -28665.66
Iteration 74: (EM) log likelihood = -28660.542
Iteration 75: (EM) log likelihood = -28657.134
Iteration 76: (EM) log likelihood = -28652.444
Iteration 77: (EM) log likelihood = -28647.468
Iteration 78: (EM) log likelihood = -28642.485
Iteration 79: (EM) log likelihood = -28639.036
Iteration 80: (EM) log likelihood = -28634.747
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.4611
Iteration 1: (class) log likelihood = -7371.4611
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30236.658
Iteration 1: (outcome) log likelihood = -29300.209
Iteration 2: (outcome) log likelihood = -29137.693
Iteration 3: (outcome) log likelihood = -29102.21
Iteration 4: (outcome) log likelihood = -29095.013
Iteration 5: (outcome) log likelihood = -29093.347
Iteration 6: (outcome) log likelihood = -29093.073
Iteration 7: (outcome) log likelihood = -29093.007
Iteration 8: (outcome) log likelihood = -29092.993
Iteration 9: (outcome) log likelihood = -29092.989
Iteration 10: (outcome) log likelihood = -29092.989
Iteration 11: (outcome) log likelihood = -29092.989
Iteration 12: (outcome) log likelihood = -29092.989
Refining starting values:
Iteration 0: (EM) log likelihood = -36422.228
Iteration 1: (EM) log likelihood = -36242.693
Iteration 2: (EM) log likelihood = -35689.641
Iteration 3: (EM) log likelihood = -34636.842
Iteration 4: (EM) log likelihood = -33600.171
Iteration 5: (EM) log likelihood = -32878.405
Iteration 6: (EM) log likelihood = -32382.579
Iteration 7: (EM) log likelihood = -32015.772
Iteration 8: (EM) log likelihood = -31719.688
Iteration 9: (EM) log likelihood = -31455.931
Iteration 10: (EM) log likelihood = -31208.829
Iteration 11: (EM) log likelihood = -30971.46
Iteration 12: (EM) log likelihood = -30752.201
Iteration 13: (EM) log likelihood = -30553.354
Iteration 14: (EM) log likelihood = -30370.552
Iteration 15: (EM) log likelihood = -30201.077
Iteration 16: (EM) log likelihood = -30049.483
Iteration 17: (EM) log likelihood = -29919.794
Iteration 18: (EM) log likelihood = -29812.461
Iteration 19: (EM) log likelihood = -29725.45
Iteration 20: (EM) log likelihood = -29657.235
Iteration 21: (EM) log likelihood = -29602.948
Iteration 22: (EM) log likelihood = -29555.668
Iteration 23: (EM) log likelihood = -29514.061
Iteration 24: (EM) log likelihood = -29477.468
Iteration 25: (EM) log likelihood = -29442.476
Iteration 26: (EM) log likelihood = -29409.602
Iteration 27: (EM) log likelihood = -29375.419
Iteration 28: (EM) log likelihood = -29341.63
Iteration 29: (EM) log likelihood = -29306.227
Iteration 30: (EM) log likelihood = -29271.047
Iteration 31: (EM) log likelihood = -29233.835
Iteration 32: (EM) log likelihood = -29197.438
Iteration 33: (EM) log likelihood = -29159.143
Iteration 34: (EM) log likelihood = -29119.923
Iteration 35: (EM) log likelihood = -29081.246
Iteration 36: (EM) log likelihood = -29041.306
Iteration 37: (EM) log likelihood = -29001.779
Iteration 38: (EM) log likelihood = -28959.215
Iteration 39: (EM) log likelihood = -28917.189
Iteration 40: (EM) log likelihood = -28875.747
Iteration 41: (EM) log likelihood = -28833.507
Iteration 42: (EM) log likelihood = -28790.912
Iteration 43: (EM) log likelihood = -28750.364
Iteration 44: (EM) log likelihood = -28708.04
Iteration 45: (EM) log likelihood = -28663.924
Iteration 46: (EM) log likelihood = -28622.038
Iteration 47: (EM) log likelihood = -28581.579
Iteration 48: (EM) log likelihood = -28542.567
Iteration 49: (EM) log likelihood = -28503.279
Iteration 50: (EM) log likelihood = -28464.765
Iteration 51: (EM) log likelihood = -28428.882
Iteration 52: (EM) log likelihood = -28392.879
Iteration 53: (EM) log likelihood = -28357.996
Iteration 54: (EM) log likelihood = -28328.988
Iteration 55: (EM) log likelihood = -28299.875
Iteration 56: (EM) log likelihood = -28273.482
Iteration 57: (EM) log likelihood = -28247.467
Iteration 58: (EM) log likelihood = -28223.702
Iteration 59: (EM) log likelihood = -28201.185
Iteration 60: (EM) log likelihood = -28180.382
Iteration 61: (EM) log likelihood = -28161.107
Iteration 62: (EM) log likelihood = -28142.927
Iteration 63: (EM) log likelihood = -28126.704
Iteration 64: (EM) log likelihood = -28111.889
Iteration 65: (EM) log likelihood = -28098.398
Iteration 66: (EM) log likelihood = -28085.601
Iteration 67: (EM) log likelihood = -28074.22
Iteration 68: (EM) log likelihood = -28062.777
Iteration 69: (EM) log likelihood = -28052.493
Iteration 70: (EM) log likelihood = -28043.621
Iteration 71: (EM) log likelihood = -28035.311
Iteration 72: (EM) log likelihood = -28027.887
Iteration 73: (EM) log likelihood = -28021.423
Iteration 74: (EM) log likelihood = -28014.982
Iteration 75: (EM) log likelihood = -28008.942
Iteration 76: (EM) log likelihood = -28004.484
Iteration 77: (EM) log likelihood = -28000.051
Iteration 78: (EM) log likelihood = -27995.771
Iteration 79: (EM) log likelihood = -27991.982
Iteration 80: (EM) log likelihood = -27988.256
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7368.6557
Iteration 1: (class) log likelihood = -7368.6557
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29428.722
Iteration 1: (outcome) log likelihood = -29162.037
Iteration 2: (outcome) log likelihood = -29113.83
Iteration 3: (outcome) log likelihood = -29106.826
Iteration 4: (outcome) log likelihood = -29105.165
Iteration 5: (outcome) log likelihood = -29104.81
Iteration 6: (outcome) log likelihood = -29104.736
Iteration 7: (outcome) log likelihood = -29104.719
Iteration 8: (outcome) log likelihood = -29104.715
Iteration 9: (outcome) log likelihood = -29104.714
Iteration 10: (outcome) log likelihood = -29104.714
Iteration 11: (outcome) log likelihood = -29104.714
Iteration 12: (outcome) log likelihood = -29104.714
Refining starting values:
Iteration 0: (EM) log likelihood = -36443.436
Iteration 1: (EM) log likelihood = -36341.292
Iteration 2: (EM) log likelihood = -36020.379
Iteration 3: (EM) log likelihood = -35214.923
Iteration 4: (EM) log likelihood = -34028.224
Iteration 5: (EM) log likelihood = -32986.413
Iteration 6: (EM) log likelihood = -32197.707
Iteration 7: (EM) log likelihood = -31591.999
Iteration 8: (EM) log likelihood = -31154.462
Iteration 9: (EM) log likelihood = -30855.824
Iteration 10: (EM) log likelihood = -30655.085
Iteration 11: (EM) log likelihood = -30516.221
Iteration 12: (EM) log likelihood = -30408.175
Iteration 13: (EM) log likelihood = -30316.367
Iteration 14: (EM) log likelihood = -30229.342
Iteration 15: (EM) log likelihood = -30138.704
Iteration 16: (EM) log likelihood = -30047.894
Iteration 17: (EM) log likelihood = -29955.847
Iteration 18: (EM) log likelihood = -29863.681
Iteration 19: (EM) log likelihood = -29775.295
Iteration 20: (EM) log likelihood = -29691.119
Iteration 21: (EM) log likelihood = -29612.617
Iteration 22: (EM) log likelihood = -29541.171
Iteration 23: (EM) log likelihood = -29482.299
Iteration 24: (EM) log likelihood = -29435.86
Iteration 25: (EM) log likelihood = -29402.017
Iteration 26: (EM) log likelihood = -29375.261
Iteration 27: (EM) log likelihood = -29354.516
Iteration 28: (EM) log likelihood = -29338.271
Iteration 29: (EM) log likelihood = -29323.344
Iteration 30: (EM) log likelihood = -29311.565
Iteration 31: (EM) log likelihood = -29300.298
Iteration 32: (EM) log likelihood = -29290.044
Iteration 33: (EM) log likelihood = -29280.055
Iteration 34: (EM) log likelihood = -29270.279
Iteration 35: (EM) log likelihood = -29257.962
Iteration 36: (EM) log likelihood = -29247.882
Iteration 37: (EM) log likelihood = -29240.551
Iteration 38: (EM) log likelihood = -29233.945
Iteration 39: (EM) log likelihood = -29228.766
Iteration 40: (EM) log likelihood = -29222.915
Iteration 41: (EM) log likelihood = -29216.566
Iteration 42: (EM) log likelihood = -29210.943
Iteration 43: (EM) log likelihood = -29206.723
Iteration 44: (EM) log likelihood = -29201.864
Iteration 45: (EM) log likelihood = -29195.433
Iteration 46: (EM) log likelihood = -29188.84
Iteration 47: (EM) log likelihood = -29183.433
Iteration 48: (EM) log likelihood = -29176.923
Iteration 49: (EM) log likelihood = -29170.584
Iteration 50: (EM) log likelihood = -29163.366
Iteration 51: (EM) log likelihood = -29155.82
Iteration 52: (EM) log likelihood = -29147.878
Iteration 53: (EM) log likelihood = -29139.61
Iteration 54: (EM) log likelihood = -29130.177
Iteration 55: (EM) log likelihood = -29120.876
Iteration 56: (EM) log likelihood = -29110.051
Iteration 57: (EM) log likelihood = -29097.545
Iteration 58: (EM) log likelihood = -29083.329
Iteration 59: (EM) log likelihood = -29067.726
Iteration 60: (EM) log likelihood = -29051.664
Iteration 61: (EM) log likelihood = -29032.202
Iteration 62: (EM) log likelihood = -29009.774
Iteration 63: (EM) log likelihood = -28985.278
Iteration 64: (EM) log likelihood = -28958.003
Iteration 65: (EM) log likelihood = -28929.723
Iteration 66: (EM) log likelihood = -28897.394
Iteration 67: (EM) log likelihood = -28864.75
Iteration 68: (EM) log likelihood = -28829.611
Iteration 69: (EM) log likelihood = -28794.031
Iteration 70: (EM) log likelihood = -28758.57
Iteration 71: (EM) log likelihood = -28722.525
Iteration 72: (EM) log likelihood = -28685.505
Iteration 73: (EM) log likelihood = -28649.482
Iteration 74: (EM) log likelihood = -28614.309
Iteration 75: (EM) log likelihood = -28578.497
Iteration 76: (EM) log likelihood = -28546.507
Iteration 77: (EM) log likelihood = -28517.464
Iteration 78: (EM) log likelihood = -28486.675
Iteration 79: (EM) log likelihood = -28457.49
Iteration 80: (EM) log likelihood = -28430.759
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7367.2908
Iteration 1: (class) log likelihood = -7367.2908
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29775.297
Iteration 1: (outcome) log likelihood = -29214.135
Iteration 2: (outcome) log likelihood = -29117.829
Iteration 3: (outcome) log likelihood = -29097.831
Iteration 4: (outcome) log likelihood = -29093.616
Iteration 5: (outcome) log likelihood = -29092.66
Iteration 6: (outcome) log likelihood = -29092.493
Iteration 7: (outcome) log likelihood = -29092.475
Iteration 8: (outcome) log likelihood = -29092.471
Iteration 9: (outcome) log likelihood = -29092.471
Iteration 10: (outcome) log likelihood = -29092.471
Iteration 11: (outcome) log likelihood = -29092.47
Iteration 12: (outcome) log likelihood = -29092.47
Refining starting values:
Iteration 0: (EM) log likelihood = -36436.144
Iteration 1: (EM) log likelihood = -36335.662
Iteration 2: (EM) log likelihood = -36014.388
Iteration 3: (EM) log likelihood = -35228.59
Iteration 4: (EM) log likelihood = -34104.025
Iteration 5: (EM) log likelihood = -33174.245
Iteration 6: (EM) log likelihood = -32517.739
Iteration 7: (EM) log likelihood = -32035.875
Iteration 8: (EM) log likelihood = -31667.759
Iteration 9: (EM) log likelihood = -31347.663
Iteration 10: (EM) log likelihood = -31036.004
Iteration 11: (EM) log likelihood = -30744.874
Iteration 12: (EM) log likelihood = -30490.48
Iteration 13: (EM) log likelihood = -30285.566
Iteration 14: (EM) log likelihood = -30121.813
Iteration 15: (EM) log likelihood = -29984.253
Iteration 16: (EM) log likelihood = -29865.089
Iteration 17: (EM) log likelihood = -29758.966
Iteration 18: (EM) log likelihood = -29664.615
Iteration 19: (EM) log likelihood = -29580.381
Iteration 20: (EM) log likelihood = -29506.153
Iteration 21: (EM) log likelihood = -29442.865
Iteration 22: (EM) log likelihood = -29390.583
Iteration 23: (EM) log likelihood = -29346.851
Iteration 24: (EM) log likelihood = -29313.561
Iteration 25: (EM) log likelihood = -29284.221
Iteration 26: (EM) log likelihood = -29259.676
Iteration 27: (EM) log likelihood = -29239.607
Iteration 28: (EM) log likelihood = -29222.135
Iteration 29: (EM) log likelihood = -29205.175
Iteration 30: (EM) log likelihood = -29188.81
Iteration 31: (EM) log likelihood = -29174.676
Iteration 32: (EM) log likelihood = -29158.311
Iteration 33: (EM) log likelihood = -29143.381
Iteration 34: (EM) log likelihood = -29128.967
Iteration 35: (EM) log likelihood = -29113.872
Iteration 36: (EM) log likelihood = -29096.932
Iteration 37: (EM) log likelihood = -29079.899
Iteration 38: (EM) log likelihood = -29062.709
Iteration 39: (EM) log likelihood = -29045.488
Iteration 40: (EM) log likelihood = -29029.503
Iteration 41: (EM) log likelihood = -29013.371
Iteration 42: (EM) log likelihood = -28997.484
Iteration 43: (EM) log likelihood = -28981.099
Iteration 44: (EM) log likelihood = -28966.127
Iteration 45: (EM) log likelihood = -28952.302
Iteration 46: (EM) log likelihood = -28938.02
Iteration 47: (EM) log likelihood = -28925.282
Iteration 48: (EM) log likelihood = -28911.67
Iteration 49: (EM) log likelihood = -28899.982
Iteration 50: (EM) log likelihood = -28891.686
Iteration 51: (EM) log likelihood = -28879.999
Iteration 52: (EM) log likelihood = -28868.312
Iteration 53: (EM) log likelihood = -28857.091
Iteration 54: (EM) log likelihood = -28843.222
Iteration 55: (EM) log likelihood = -28834.199
Iteration 56: (EM) log likelihood = -28824.489
Iteration 57: (EM) log likelihood = -28815.257
Iteration 58: (EM) log likelihood = -28807.074
Iteration 59: (EM) log likelihood = -28799.852
Iteration 60: (EM) log likelihood = -28791.926
Iteration 61: (EM) log likelihood = -28784.516
Iteration 62: (EM) log likelihood = -28776.254
Iteration 63: (EM) log likelihood = -28767.981
Iteration 64: (EM) log likelihood = -28760.161
Iteration 65: (EM) log likelihood = -28753.328
Iteration 66: (EM) log likelihood = -28746.643
Iteration 67: (EM) log likelihood = -28741.207
Iteration 68: (EM) log likelihood = -28734.125
Iteration 69: (EM) log likelihood = -28727.933
Iteration 70: (EM) log likelihood = -28721.337
Iteration 71: (EM) log likelihood = -28715.023
Iteration 72: (EM) log likelihood = -28707.462
Iteration 73: (EM) log likelihood = -28700.367
Iteration 74: (EM) log likelihood = -28693.307
Iteration 75: (EM) log likelihood = -28691.347
Iteration 76: (EM) log likelihood = -28683.265
Iteration 77: (EM) log likelihood = -28676.273
Iteration 78: (EM) log likelihood = -28669.069
Iteration 79: (EM) log likelihood = -28662.073
Iteration 80: (EM) log likelihood = -28658.256
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7369.0654
Iteration 1: (class) log likelihood = -7369.0654
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29881.776
Iteration 1: (outcome) log likelihood = -29278.186
Iteration 2: (outcome) log likelihood = -29124.793
Iteration 3: (outcome) log likelihood = -29096.499
Iteration 4: (outcome) log likelihood = -29091.381
Iteration 5: (outcome) log likelihood = -29090.212
Iteration 6: (outcome) log likelihood = -29089.941
Iteration 7: (outcome) log likelihood = -29089.878
Iteration 8: (outcome) log likelihood = -29089.865
Iteration 9: (outcome) log likelihood = -29089.863
Iteration 10: (outcome) log likelihood = -29089.863
Iteration 11: (outcome) log likelihood = -29089.863
Iteration 12: (outcome) log likelihood = -29089.863
Refining starting values:
Iteration 0: (EM) log likelihood = -36415.11
Iteration 1: (EM) log likelihood = -36258.005
Iteration 2: (EM) log likelihood = -35808.372
Iteration 3: (EM) log likelihood = -34918.304
Iteration 4: (EM) log likelihood = -33834.269
Iteration 5: (EM) log likelihood = -33026.985
Iteration 6: (EM) log likelihood = -32505.715
Iteration 7: (EM) log likelihood = -32089.535
Iteration 8: (EM) log likelihood = -31690.314
Iteration 9: (EM) log likelihood = -31305.12
Iteration 10: (EM) log likelihood = -30959.409
Iteration 11: (EM) log likelihood = -30668.357
Iteration 12: (EM) log likelihood = -30433.455
Iteration 13: (EM) log likelihood = -30240.049
Iteration 14: (EM) log likelihood = -30080.766
Iteration 15: (EM) log likelihood = -29951.269
Iteration 16: (EM) log likelihood = -29847.504
Iteration 17: (EM) log likelihood = -29767.77
Iteration 18: (EM) log likelihood = -29705.722
Iteration 19: (EM) log likelihood = -29658.088
Iteration 20: (EM) log likelihood = -29618.557
Iteration 21: (EM) log likelihood = -29586.181
Iteration 22: (EM) log likelihood = -29558.176
Iteration 23: (EM) log likelihood = -29533.813
Iteration 24: (EM) log likelihood = -29512.3
Iteration 25: (EM) log likelihood = -29492.623
Iteration 26: (EM) log likelihood = -29476.113
Iteration 27: (EM) log likelihood = -29461.371
Iteration 28: (EM) log likelihood = -29448.041
Iteration 29: (EM) log likelihood = -29436.256
Iteration 30: (EM) log likelihood = -29425.514
Iteration 31: (EM) log likelihood = -29415.889
Iteration 32: (EM) log likelihood = -29407.032
Iteration 33: (EM) log likelihood = -29398.93
Iteration 34: (EM) log likelihood = -29391.549
Iteration 35: (EM) log likelihood = -29384.426
Iteration 36: (EM) log likelihood = -29378.412
Iteration 37: (EM) log likelihood = -29372.021
Iteration 38: (EM) log likelihood = -29366.343
Iteration 39: (EM) log likelihood = -29361.688
Iteration 40: (EM) log likelihood = -29356.727
Iteration 41: (EM) log likelihood = -29351.335
Iteration 42: (EM) log likelihood = -29346.397
Iteration 43: (EM) log likelihood = -29340.329
Iteration 44: (EM) log likelihood = -29334.163
Iteration 45: (EM) log likelihood = -29327.768
Iteration 46: (EM) log likelihood = -29320.175
Iteration 47: (EM) log likelihood = -29312.231
Iteration 48: (EM) log likelihood = -29304.226
Iteration 49: (EM) log likelihood = -29295.71
Iteration 50: (EM) log likelihood = -29287.664
Iteration 51: (EM) log likelihood = -29279.46
Iteration 52: (EM) log likelihood = -29273.042
Iteration 53: (EM) log likelihood = -29266.32
Iteration 54: (EM) log likelihood = -29260.702
Iteration 55: (EM) log likelihood = -29254.301
Iteration 56: (EM) log likelihood = -29248.156
Iteration 57: (EM) log likelihood = -29241.67
Iteration 58: (EM) log likelihood = -29235.646
Iteration 59: (EM) log likelihood = -29229.178
Iteration 60: (EM) log likelihood = -29223.16
Iteration 61: (EM) log likelihood = -29217.415
Iteration 62: (EM) log likelihood = -29212.426
Iteration 63: (EM) log likelihood = -29206.482
Iteration 64: (EM) log likelihood = -29201.207
Iteration 65: (EM) log likelihood = -29196.275
Iteration 66: (EM) log likelihood = -29190.192
Iteration 67: (EM) log likelihood = -29184.804
Iteration 68: (EM) log likelihood = -29178.749
Iteration 69: (EM) log likelihood = -29174.274
Iteration 70: (EM) log likelihood = -29169.667
Iteration 71: (EM) log likelihood = -29165.306
Iteration 72: (EM) log likelihood = -29161.486
Iteration 73: (EM) log likelihood = -29157.884
Iteration 74: (EM) log likelihood = -29154.423
Iteration 75: (EM) log likelihood = -29150.614
Iteration 76: (EM) log likelihood = -29146.549
Iteration 77: (EM) log likelihood = -29143.116
Iteration 78: (EM) log likelihood = -29139.786
Iteration 79: (EM) log likelihood = -29136.44
Iteration 80: (EM) log likelihood = -29133.046
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7369.5877
Iteration 1: (class) log likelihood = -7369.5877
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30092.798
Iteration 1: (outcome) log likelihood = -29290.987
Iteration 2: (outcome) log likelihood = -29140.032
Iteration 3: (outcome) log likelihood = -29109.939
Iteration 4: (outcome) log likelihood = -29104.568
Iteration 5: (outcome) log likelihood = -29103.327
Iteration 6: (outcome) log likelihood = -29103.04
Iteration 7: (outcome) log likelihood = -29102.975
Iteration 8: (outcome) log likelihood = -29102.961
Iteration 9: (outcome) log likelihood = -29102.958
Iteration 10: (outcome) log likelihood = -29102.958
Iteration 11: (outcome) log likelihood = -29102.958
Iteration 12: (outcome) log likelihood = -29102.958
Refining starting values:
Iteration 0: (EM) log likelihood = -36427.203
Iteration 1: (EM) log likelihood = -36244.008
Iteration 2: (EM) log likelihood = -35665.208
Iteration 3: (EM) log likelihood = -34622.202
Iteration 4: (EM) log likelihood = -33622.684
Iteration 5: (EM) log likelihood = -32847.073
Iteration 6: (EM) log likelihood = -32200.762
Iteration 7: (EM) log likelihood = -31654.593
Iteration 8: (EM) log likelihood = -31218.967
Iteration 9: (EM) log likelihood = -30875.332
Iteration 10: (EM) log likelihood = -30592.656
Iteration 11: (EM) log likelihood = -30346.85
Iteration 12: (EM) log likelihood = -30135.394
Iteration 13: (EM) log likelihood = -29960.804
Iteration 14: (EM) log likelihood = -29813.5
Iteration 15: (EM) log likelihood = -29689.797
Iteration 16: (EM) log likelihood = -29587.576
Iteration 17: (EM) log likelihood = -29499.035
Iteration 18: (EM) log likelihood = -29424.65
Iteration 19: (EM) log likelihood = -29361.489
Iteration 20: (EM) log likelihood = -29306.438
Iteration 21: (EM) log likelihood = -29256.779
Iteration 22: (EM) log likelihood = -29209.702
Iteration 23: (EM) log likelihood = -29167.133
Iteration 24: (EM) log likelihood = -29123.31
Iteration 25: (EM) log likelihood = -29082.785
Iteration 26: (EM) log likelihood = -29043.073
Iteration 27: (EM) log likelihood = -29004.24
Iteration 28: (EM) log likelihood = -28964.883
Iteration 29: (EM) log likelihood = -28927.33
Iteration 30: (EM) log likelihood = -28893.309
Iteration 31: (EM) log likelihood = -28860.617
Iteration 32: (EM) log likelihood = -28833.776
Iteration 33: (EM) log likelihood = -28804.823
Iteration 34: (EM) log likelihood = -28776.611
Iteration 35: (EM) log likelihood = -28752.088
Iteration 36: (EM) log likelihood = -28728.915
Iteration 37: (EM) log likelihood = -28708.558
Iteration 38: (EM) log likelihood = -28687.867
Iteration 39: (EM) log likelihood = -28671.1
Iteration 40: (EM) log likelihood = -28653.833
Iteration 41: (EM) log likelihood = -28637.467
Iteration 42: (EM) log likelihood = -28624.449
Iteration 43: (EM) log likelihood = -28609.515
Iteration 44: (EM) log likelihood = -28596
Iteration 45: (EM) log likelihood = -28588.287
Iteration 46: (EM) log likelihood = -28575.194
Iteration 47: (EM) log likelihood = -28565.563
Iteration 48: (EM) log likelihood = -28556.608
Iteration 49: (EM) log likelihood = -28548.67
Iteration 50: (EM) log likelihood = -28537.216
Iteration 51: (EM) log likelihood = -28528.741
Iteration 52: (EM) log likelihood = -28519.815
Iteration 53: (EM) log likelihood = -28508.71
Iteration 54: (EM) log likelihood = -28498.263
Iteration 55: (EM) log likelihood = -28490.422
Iteration 56: (EM) log likelihood = -28478.714
Iteration 57: (EM) log likelihood = -28468.214
Iteration 58: (EM) log likelihood = -28457.143
Iteration 59: (EM) log likelihood = -28447.833
Iteration 60: (EM) log likelihood = -28433.612
Iteration 61: (EM) log likelihood = -28422.164
Iteration 62: (EM) log likelihood = -28410.913
Iteration 63: (EM) log likelihood = -28398.644
Iteration 64: (EM) log likelihood = -28385.204
Iteration 65: (EM) log likelihood = -28369.422
Iteration 66: (EM) log likelihood = -28356.189
Iteration 67: (EM) log likelihood = -28340.709
Iteration 68: (EM) log likelihood = -28327.09
Iteration 69: (EM) log likelihood = -28311.691
Iteration 70: (EM) log likelihood = -28297.222
Iteration 71: (EM) log likelihood = -28283.473
Iteration 72: (EM) log likelihood = -28272.232
Iteration 73: (EM) log likelihood = -28260.806
Iteration 74: (EM) log likelihood = -28250.811
Iteration 75: (EM) log likelihood = -28243.228
Iteration 76: (EM) log likelihood = -28235.324
Iteration 77: (EM) log likelihood = -28229.845
Iteration 78: (EM) log likelihood = -28224.012
Iteration 79: (EM) log likelihood = -28218.228
Iteration 80: (EM) log likelihood = -28214.274
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.7831
Iteration 1: (class) log likelihood = -7371.7831
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29273.481
Iteration 1: (outcome) log likelihood = -29146.931
Iteration 2: (outcome) log likelihood = -29106.742
Iteration 3: (outcome) log likelihood = -29100.141
Iteration 4: (outcome) log likelihood = -29098.729
Iteration 5: (outcome) log likelihood = -29098.439
Iteration 6: (outcome) log likelihood = -29098.374
Iteration 7: (outcome) log likelihood = -29098.358
Iteration 8: (outcome) log likelihood = -29098.355
Iteration 9: (outcome) log likelihood = -29098.354
Iteration 10: (outcome) log likelihood = -29098.354
Iteration 11: (outcome) log likelihood = -29098.354
Refining starting values:
Iteration 0: (EM) log likelihood = -36455.241
Iteration 1: (EM) log likelihood = -36386.578
Iteration 2: (EM) log likelihood = -36143.644
Iteration 3: (EM) log likelihood = -35410.003
Iteration 4: (EM) log likelihood = -34161.976
Iteration 5: (EM) log likelihood = -33082.339
Iteration 6: (EM) log likelihood = -32374.451
Iteration 7: (EM) log likelihood = -31921.419
Iteration 8: (EM) log likelihood = -31629.849
Iteration 9: (EM) log likelihood = -31420.931
Iteration 10: (EM) log likelihood = -31237.967
Iteration 11: (EM) log likelihood = -31054.88
Iteration 12: (EM) log likelihood = -30862.434
Iteration 13: (EM) log likelihood = -30660.464
Iteration 14: (EM) log likelihood = -30461.858
Iteration 15: (EM) log likelihood = -30277.708
Iteration 16: (EM) log likelihood = -30111.158
Iteration 17: (EM) log likelihood = -29963.822
Iteration 18: (EM) log likelihood = -29837.335
Iteration 19: (EM) log likelihood = -29725.741
Iteration 20: (EM) log likelihood = -29629.58
Iteration 21: (EM) log likelihood = -29547.832
Iteration 22: (EM) log likelihood = -29478.224
Iteration 23: (EM) log likelihood = -29418.58
Iteration 24: (EM) log likelihood = -29370.31
Iteration 25: (EM) log likelihood = -29328.676
Iteration 26: (EM) log likelihood = -29296.329
Iteration 27: (EM) log likelihood = -29268.896
Iteration 28: (EM) log likelihood = -29244.968
Iteration 29: (EM) log likelihood = -29223.99
Iteration 30: (EM) log likelihood = -29204.634
Iteration 31: (EM) log likelihood = -29185.486
Iteration 32: (EM) log likelihood = -29166.856
Iteration 33: (EM) log likelihood = -29148.872
Iteration 34: (EM) log likelihood = -29131.963
Iteration 35: (EM) log likelihood = -29114.81
Iteration 36: (EM) log likelihood = -29097.69
Iteration 37: (EM) log likelihood = -29079.75
Iteration 38: (EM) log likelihood = -29062.063
Iteration 39: (EM) log likelihood = -29043.806
Iteration 40: (EM) log likelihood = -29023.365
Iteration 41: (EM) log likelihood = -29002.936
Iteration 42: (EM) log likelihood = -28981.379
Iteration 43: (EM) log likelihood = -28959.133
Iteration 44: (EM) log likelihood = -28936.225
Iteration 45: (EM) log likelihood = -28913.31
Iteration 46: (EM) log likelihood = -28890.84
Iteration 47: (EM) log likelihood = -28868.218
Iteration 48: (EM) log likelihood = -28845.635
Iteration 49: (EM) log likelihood = -28822.406
Iteration 50: (EM) log likelihood = -28801.12
Iteration 51: (EM) log likelihood = -28780.387
Iteration 52: (EM) log likelihood = -28760.165
Iteration 53: (EM) log likelihood = -28740.431
Iteration 54: (EM) log likelihood = -28720.205
Iteration 55: (EM) log likelihood = -28701.953
Iteration 56: (EM) log likelihood = -28683.787
Iteration 57: (EM) log likelihood = -28666.055
Iteration 58: (EM) log likelihood = -28650.159
Iteration 59: (EM) log likelihood = -28635.305
Iteration 60: (EM) log likelihood = -28621.599
Iteration 61: (EM) log likelihood = -28609.177
Iteration 62: (EM) log likelihood = -28598.873
Iteration 63: (EM) log likelihood = -28589.1
Iteration 64: (EM) log likelihood = -28580.862
Iteration 65: (EM) log likelihood = -28573.911
Iteration 66: (EM) log likelihood = -28567.821
Iteration 67: (EM) log likelihood = -28562.823
Iteration 68: (EM) log likelihood = -28557.909
Iteration 69: (EM) log likelihood = -28554.774
Iteration 70: (EM) log likelihood = -28551.775
Iteration 71: (EM) log likelihood = -28549.552
Iteration 72: (EM) log likelihood = -28548.625
Iteration 73: (EM) log likelihood = -28547.332
Iteration 74: (EM) log likelihood = -28546.47
Iteration 75: (EM) log likelihood = -28546.327
Iteration 76: (EM) log likelihood = -28546.202
Iteration 77: (EM) log likelihood = -28546.275
Iteration 78: (EM) log likelihood = -28546.826
Iteration 79: (EM) log likelihood = -28546.587
Iteration 80: (EM) log likelihood = -28547.319
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.1666
Iteration 1: (class) log likelihood = -7371.1666 (backed up)
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29852.214
Iteration 1: (outcome) log likelihood = -29246.194
Iteration 2: (outcome) log likelihood = -29121.887
Iteration 3: (outcome) log likelihood = -29100.767
Iteration 4: (outcome) log likelihood = -29096.606
Iteration 5: (outcome) log likelihood = -29095.695
Iteration 6: (outcome) log likelihood = -29095.491
Iteration 7: (outcome) log likelihood = -29095.441
Iteration 8: (outcome) log likelihood = -29095.431
Iteration 9: (outcome) log likelihood = -29095.428
Iteration 10: (outcome) log likelihood = -29095.428
Iteration 11: (outcome) log likelihood = -29095.428
Iteration 12: (outcome) log likelihood = -29095.428
Refining starting values:
Iteration 0: (EM) log likelihood = -36438.385
Iteration 1: (EM) log likelihood = -36304.207
Iteration 2: (EM) log likelihood = -35769.891
Iteration 3: (EM) log likelihood = -34518.719
Iteration 4: (EM) log likelihood = -33351.042
Iteration 5: (EM) log likelihood = -32641.223
Iteration 6: (EM) log likelihood = -32104.019
Iteration 7: (EM) log likelihood = -31663.587
Iteration 8: (EM) log likelihood = -31282.047
Iteration 9: (EM) log likelihood = -30941.708
Iteration 10: (EM) log likelihood = -30638.027
Iteration 11: (EM) log likelihood = -30371.059
Iteration 12: (EM) log likelihood = -30145.921
Iteration 13: (EM) log likelihood = -29960.76
Iteration 14: (EM) log likelihood = -29813.354
Iteration 15: (EM) log likelihood = -29694.09
Iteration 16: (EM) log likelihood = -29590.794
Iteration 17: (EM) log likelihood = -29501.338
Iteration 18: (EM) log likelihood = -29420.605
Iteration 19: (EM) log likelihood = -29347.791
Iteration 20: (EM) log likelihood = -29281.917
Iteration 21: (EM) log likelihood = -29222.639
Iteration 22: (EM) log likelihood = -29170.082
Iteration 23: (EM) log likelihood = -29122.614
Iteration 24: (EM) log likelihood = -29081.206
Iteration 25: (EM) log likelihood = -29044.441
Iteration 26: (EM) log likelihood = -29010.341
Iteration 27: (EM) log likelihood = -28980.076
Iteration 28: (EM) log likelihood = -28952.493
Iteration 29: (EM) log likelihood = -28928.807
Iteration 30: (EM) log likelihood = -28906.736
Iteration 31: (EM) log likelihood = -28885.2
Iteration 32: (EM) log likelihood = -28865.936
Iteration 33: (EM) log likelihood = -28846.971
Iteration 34: (EM) log likelihood = -28829.184
Iteration 35: (EM) log likelihood = -28811.079
Iteration 36: (EM) log likelihood = -28795.398
Iteration 37: (EM) log likelihood = -28779.432
Iteration 38: (EM) log likelihood = -28764.554
Iteration 39: (EM) log likelihood = -28748.887
Iteration 40: (EM) log likelihood = -28738.248
Iteration 41: (EM) log likelihood = -28726.153
Iteration 42: (EM) log likelihood = -28716.572
Iteration 43: (EM) log likelihood = -28707.092
Iteration 44: (EM) log likelihood = -28697.487
Iteration 45: (EM) log likelihood = -28689.739
Iteration 46: (EM) log likelihood = -28682.203
Iteration 47: (EM) log likelihood = -28674.754
Iteration 48: (EM) log likelihood = -28666.644
Iteration 49: (EM) log likelihood = -28659.904
Iteration 50: (EM) log likelihood = -28652.964
Iteration 51: (EM) log likelihood = -28647.704
Iteration 52: (EM) log likelihood = -28640.056
Iteration 53: (EM) log likelihood = -28635.499
Iteration 54: (EM) log likelihood = -28631.093
Iteration 55: (EM) log likelihood = -28623.412
Iteration 56: (EM) log likelihood = -28618.422
Iteration 57: (EM) log likelihood = -28613.078
Iteration 58: (EM) log likelihood = -28607.827
Iteration 59: (EM) log likelihood = -28601.93
Iteration 60: (EM) log likelihood = -28598
Iteration 61: (EM) log likelihood = -28592.889
Iteration 62: (EM) log likelihood = -28586.936
Iteration 63: (EM) log likelihood = -28581.704
Iteration 64: (EM) log likelihood = -28575.394
Iteration 65: (EM) log likelihood = -28569.69
Iteration 66: (EM) log likelihood = -28565.749
Iteration 67: (EM) log likelihood = -28560.467
Iteration 68: (EM) log likelihood = -28555.296
Iteration 69: (EM) log likelihood = -28549.001
Iteration 70: (EM) log likelihood = -28544.81
Iteration 71: (EM) log likelihood = -28540.84
Iteration 72: (EM) log likelihood = -28536.244
Iteration 73: (EM) log likelihood = -28533.248
Iteration 74: (EM) log likelihood = -28529.065
Iteration 75: (EM) log likelihood = -28524.751
Iteration 76: (EM) log likelihood = -28520.369
Iteration 77: (EM) log likelihood = -28516.155
Iteration 78: (EM) log likelihood = -28512.721
Iteration 79: (EM) log likelihood = -28509.314
Iteration 80: (EM) log likelihood = -28505.953
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.9679
Iteration 1: (class) log likelihood = -7371.9679
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29762.345
Iteration 1: (outcome) log likelihood = -29230.8
Iteration 2: (outcome) log likelihood = -29119.519
Iteration 3: (outcome) log likelihood = -29097.891
Iteration 4: (outcome) log likelihood = -29093.02
Iteration 5: (outcome) log likelihood = -29092.007
Iteration 6: (outcome) log likelihood = -29091.84
Iteration 7: (outcome) log likelihood = -29091.8
Iteration 8: (outcome) log likelihood = -29091.791
Iteration 9: (outcome) log likelihood = -29091.789
Iteration 10: (outcome) log likelihood = -29091.789
Iteration 11: (outcome) log likelihood = -29091.789
Iteration 12: (outcome) log likelihood = -29091.789
Refining starting values:
Iteration 0: (EM) log likelihood = -36438.64
Iteration 1: (EM) log likelihood = -36347.382
Iteration 2: (EM) log likelihood = -36116.439
Iteration 3: (EM) log likelihood = -35646.119
Iteration 4: (EM) log likelihood = -34828.921
Iteration 5: (EM) log likelihood = -33688.239
Iteration 6: (EM) log likelihood = -32636.374
Iteration 7: (EM) log likelihood = -31982.418
Iteration 8: (EM) log likelihood = -31603.273
Iteration 9: (EM) log likelihood = -31327.051
Iteration 10: (EM) log likelihood = -31082.839
Iteration 11: (EM) log likelihood = -30840.432
Iteration 12: (EM) log likelihood = -30587.46
Iteration 13: (EM) log likelihood = -30332.519
Iteration 14: (EM) log likelihood = -30083.878
Iteration 15: (EM) log likelihood = -29863.299
Iteration 16: (EM) log likelihood = -29681.264
Iteration 17: (EM) log likelihood = -29537.317
Iteration 18: (EM) log likelihood = -29422.036
Iteration 19: (EM) log likelihood = -29330.931
Iteration 20: (EM) log likelihood = -29254.084
Iteration 21: (EM) log likelihood = -29187.276
Iteration 22: (EM) log likelihood = -29130.001
Iteration 23: (EM) log likelihood = -29081.618
Iteration 24: (EM) log likelihood = -29038.62
Iteration 25: (EM) log likelihood = -29001.581
Iteration 26: (EM) log likelihood = -28968.046
Iteration 27: (EM) log likelihood = -28937.828
Iteration 28: (EM) log likelihood = -28909.116
Iteration 29: (EM) log likelihood = -28883.909
Iteration 30: (EM) log likelihood = -28862.178
Iteration 31: (EM) log likelihood = -28841.758
Iteration 32: (EM) log likelihood = -28823.39
Iteration 33: (EM) log likelihood = -28804.7
Iteration 34: (EM) log likelihood = -28785.988
Iteration 35: (EM) log likelihood = -28769.598
Iteration 36: (EM) log likelihood = -28755.44
Iteration 37: (EM) log likelihood = -28741.043
Iteration 38: (EM) log likelihood = -28725.166
Iteration 39: (EM) log likelihood = -28712.98
Iteration 40: (EM) log likelihood = -28702.679
Iteration 41: (EM) log likelihood = -28691.345
Iteration 42: (EM) log likelihood = -28680.325
Iteration 43: (EM) log likelihood = -28668.578
Iteration 44: (EM) log likelihood = -28658.397
Iteration 45: (EM) log likelihood = -28647.333
Iteration 46: (EM) log likelihood = -28638.457
Iteration 47: (EM) log likelihood = -28628.954
Iteration 48: (EM) log likelihood = -28617.366
Iteration 49: (EM) log likelihood = -28608.077
Iteration 50: (EM) log likelihood = -28599.361
Iteration 51: (EM) log likelihood = -28588.734
Iteration 52: (EM) log likelihood = -28581.029
Iteration 53: (EM) log likelihood = -28572.469
Iteration 54: (EM) log likelihood = -28566.008
Iteration 55: (EM) log likelihood = -28557.393
Iteration 56: (EM) log likelihood = -28549.478
Iteration 57: (EM) log likelihood = -28542.15
Iteration 58: (EM) log likelihood = -28534.518
Iteration 59: (EM) log likelihood = -28528.111
Iteration 60: (EM) log likelihood = -28521.523
Iteration 61: (EM) log likelihood = -28514.611
Iteration 62: (EM) log likelihood = -28507.683
Iteration 63: (EM) log likelihood = -28497.518
Iteration 64: (EM) log likelihood = -28491.267
Iteration 65: (EM) log likelihood = -28485.451
Iteration 66: (EM) log likelihood = -28479.688
Iteration 67: (EM) log likelihood = -28473.648
Iteration 68: (EM) log likelihood = -28467.583
Iteration 69: (EM) log likelihood = -28461.648
Iteration 70: (EM) log likelihood = -28455.823
Iteration 71: (EM) log likelihood = -28450.092
Iteration 72: (EM) log likelihood = -28444.448
Iteration 73: (EM) log likelihood = -28438.884
Iteration 74: (EM) log likelihood = -28433.397
Iteration 75: (EM) log likelihood = -28427.984
Iteration 76: (EM) log likelihood = -28422.643
Iteration 77: (EM) log likelihood = -28417.374
Iteration 78: (EM) log likelihood = -28412.177
Iteration 79: (EM) log likelihood = -28407.06
Iteration 80: (EM) log likelihood = -28402.047
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.6835
Iteration 1: (class) log likelihood = -7370.6835
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29877.217
Iteration 1: (outcome) log likelihood = -29250.427
Iteration 2: (outcome) log likelihood = -29121.963
Iteration 3: (outcome) log likelihood = -29101.868
Iteration 4: (outcome) log likelihood = -29097.217
Iteration 5: (outcome) log likelihood = -29096.294
Iteration 6: (outcome) log likelihood = -29096.133
Iteration 7: (outcome) log likelihood = -29096.096
Iteration 8: (outcome) log likelihood = -29096.087
Iteration 9: (outcome) log likelihood = -29096.085
Iteration 10: (outcome) log likelihood = -29096.085
Iteration 11: (outcome) log likelihood = -29096.085
Iteration 12: (outcome) log likelihood = -29096.085
Refining starting values:
Iteration 0: (EM) log likelihood = -36421.996
Iteration 1: (EM) log likelihood = -36247.085
Iteration 2: (EM) log likelihood = -35715.998
Iteration 3: (EM) log likelihood = -34648.148
Iteration 4: (EM) log likelihood = -33447.975
Iteration 5: (EM) log likelihood = -32517.283
Iteration 6: (EM) log likelihood = -31841.225
Iteration 7: (EM) log likelihood = -31339.26
Iteration 8: (EM) log likelihood = -30947.554
Iteration 9: (EM) log likelihood = -30634.92
Iteration 10: (EM) log likelihood = -30381.524
Iteration 11: (EM) log likelihood = -30177.749
Iteration 12: (EM) log likelihood = -30015.03
Iteration 13: (EM) log likelihood = -29878.08
Iteration 14: (EM) log likelihood = -29761.645
Iteration 15: (EM) log likelihood = -29662.325
Iteration 16: (EM) log likelihood = -29574.116
Iteration 17: (EM) log likelihood = -29496.484
Iteration 18: (EM) log likelihood = -29427.899
Iteration 19: (EM) log likelihood = -29365.753
Iteration 20: (EM) log likelihood = -29309.436
Iteration 21: (EM) log likelihood = -29259.33
Iteration 22: (EM) log likelihood = -29212.811
Iteration 23: (EM) log likelihood = -29169.349
Iteration 24: (EM) log likelihood = -29127.863
Iteration 25: (EM) log likelihood = -29085.883
Iteration 26: (EM) log likelihood = -29039.708
Iteration 27: (EM) log likelihood = -28994.552
Iteration 28: (EM) log likelihood = -28946.2
Iteration 29: (EM) log likelihood = -28899.979
Iteration 30: (EM) log likelihood = -28850.873
Iteration 31: (EM) log likelihood = -28805.992
Iteration 32: (EM) log likelihood = -28763.296
Iteration 33: (EM) log likelihood = -28722.715
Iteration 34: (EM) log likelihood = -28684.871
Iteration 35: (EM) log likelihood = -28649.493
Iteration 36: (EM) log likelihood = -28617.182
Iteration 37: (EM) log likelihood = -28586.226
Iteration 38: (EM) log likelihood = -28559.61
Iteration 39: (EM) log likelihood = -28535.956
Iteration 40: (EM) log likelihood = -28512.012
Iteration 41: (EM) log likelihood = -28489.375
Iteration 42: (EM) log likelihood = -28466.023
Iteration 43: (EM) log likelihood = -28446.336
Iteration 44: (EM) log likelihood = -28427.983
Iteration 45: (EM) log likelihood = -28410.064
Iteration 46: (EM) log likelihood = -28393.318
Iteration 47: (EM) log likelihood = -28378.36
Iteration 48: (EM) log likelihood = -28363.736
Iteration 49: (EM) log likelihood = -28350.483
Iteration 50: (EM) log likelihood = -28338.152
Iteration 51: (EM) log likelihood = -28328.359
Iteration 52: (EM) log likelihood = -28319.054
Iteration 53: (EM) log likelihood = -28308.21
Iteration 54: (EM) log likelihood = -28300.062
Iteration 55: (EM) log likelihood = -28291.594
Iteration 56: (EM) log likelihood = -28284.068
Iteration 57: (EM) log likelihood = -28273.317
Iteration 58: (EM) log likelihood = -28265.564
Iteration 59: (EM) log likelihood = -28258.86
Iteration 60: (EM) log likelihood = -28252.468
Iteration 61: (EM) log likelihood = -28246.412
Iteration 62: (EM) log likelihood = -28243.324
Iteration 63: (EM) log likelihood = -28238.074
Iteration 64: (EM) log likelihood = -28230.432
Iteration 65: (EM) log likelihood = -28225.54
Iteration 66: (EM) log likelihood = -28221.722
Iteration 67: (EM) log likelihood = -28217.299
Iteration 68: (EM) log likelihood = -28213.75
Iteration 69: (EM) log likelihood = -28208.848
Iteration 70: (EM) log likelihood = -28204.704
Iteration 71: (EM) log likelihood = -28199.735
Iteration 72: (EM) log likelihood = -28195.061
Iteration 73: (EM) log likelihood = -28189.467
Iteration 74: (EM) log likelihood = -28180.682
Iteration 75: (EM) log likelihood = -28175.696
Iteration 76: (EM) log likelihood = -28170.678
Iteration 77: (EM) log likelihood = -28164.945
Iteration 78: (EM) log likelihood = -28160.173
Iteration 79: (EM) log likelihood = -28155.264
Iteration 80: (EM) log likelihood = -28149.69
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.3871
Iteration 1: (class) log likelihood = -7370.3871
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29982.378
Iteration 1: (outcome) log likelihood = -29234.644
Iteration 2: (outcome) log likelihood = -29128.996
Iteration 3: (outcome) log likelihood = -29102.949
Iteration 4: (outcome) log likelihood = -29097.83
Iteration 5: (outcome) log likelihood = -29096.619
Iteration 6: (outcome) log likelihood = -29096.421
Iteration 7: (outcome) log likelihood = -29096.374
Iteration 8: (outcome) log likelihood = -29096.363
Iteration 9: (outcome) log likelihood = -29096.361
Iteration 10: (outcome) log likelihood = -29096.361
Iteration 11: (outcome) log likelihood = -29096.36
Iteration 12: (outcome) log likelihood = -29096.36
Refining starting values:
Iteration 0: (EM) log likelihood = -36441.416
Iteration 1: (EM) log likelihood = -36339.45
Iteration 2: (EM) log likelihood = -35974.41
Iteration 3: (EM) log likelihood = -35028.191
Iteration 4: (EM) log likelihood = -33801.337
Iteration 5: (EM) log likelihood = -32853.727
Iteration 6: (EM) log likelihood = -32147.16
Iteration 7: (EM) log likelihood = -31606.15
Iteration 8: (EM) log likelihood = -31191.539
Iteration 9: (EM) log likelihood = -30869.586
Iteration 10: (EM) log likelihood = -30616.452
Iteration 11: (EM) log likelihood = -30414.169
Iteration 12: (EM) log likelihood = -30244.866
Iteration 13: (EM) log likelihood = -30098.564
Iteration 14: (EM) log likelihood = -29973.213
Iteration 15: (EM) log likelihood = -29871.425
Iteration 16: (EM) log likelihood = -29786.203
Iteration 17: (EM) log likelihood = -29712.351
Iteration 18: (EM) log likelihood = -29648.146
Iteration 19: (EM) log likelihood = -29591.11
Iteration 20: (EM) log likelihood = -29539.184
Iteration 21: (EM) log likelihood = -29491.196
Iteration 22: (EM) log likelihood = -29448.459
Iteration 23: (EM) log likelihood = -29409.466
Iteration 24: (EM) log likelihood = -29373.588
Iteration 25: (EM) log likelihood = -29340.623
Iteration 26: (EM) log likelihood = -29310.058
Iteration 27: (EM) log likelihood = -29281.827
Iteration 28: (EM) log likelihood = -29255.682
Iteration 29: (EM) log likelihood = -29231.146
Iteration 30: (EM) log likelihood = -29208.839
Iteration 31: (EM) log likelihood = -29188.078
Iteration 32: (EM) log likelihood = -29168.731
Iteration 33: (EM) log likelihood = -29150.713
Iteration 34: (EM) log likelihood = -29134.469
Iteration 35: (EM) log likelihood = -29118.671
Iteration 36: (EM) log likelihood = -29104.417
Iteration 37: (EM) log likelihood = -29090.45
Iteration 38: (EM) log likelihood = -29077.904
Iteration 39: (EM) log likelihood = -29066.412
Iteration 40: (EM) log likelihood = -29054.989
Iteration 41: (EM) log likelihood = -29043.383
Iteration 42: (EM) log likelihood = -29032.605
Iteration 43: (EM) log likelihood = -29023.378
Iteration 44: (EM) log likelihood = -29013.976
Iteration 45: (EM) log likelihood = -29005.426
Iteration 46: (EM) log likelihood = -28997.319
Iteration 47: (EM) log likelihood = -28988.62
Iteration 48: (EM) log likelihood = -28980.559
Iteration 49: (EM) log likelihood = -28971.929
Iteration 50: (EM) log likelihood = -28963.67
Iteration 51: (EM) log likelihood = -28955.402
Iteration 52: (EM) log likelihood = -28946.833
Iteration 53: (EM) log likelihood = -28938.104
Iteration 54: (EM) log likelihood = -28930.659
Iteration 55: (EM) log likelihood = -28922.15
Iteration 56: (EM) log likelihood = -28913.505
Iteration 57: (EM) log likelihood = -28904.147
Iteration 58: (EM) log likelihood = -28894.924
Iteration 59: (EM) log likelihood = -28886.117
Iteration 60: (EM) log likelihood = -28876.389
Iteration 61: (EM) log likelihood = -28866.914
Iteration 62: (EM) log likelihood = -28857.022
Iteration 63: (EM) log likelihood = -28847.362
Iteration 64: (EM) log likelihood = -28836.306
Iteration 65: (EM) log likelihood = -28826.661
Iteration 66: (EM) log likelihood = -28816.566
Iteration 67: (EM) log likelihood = -28805.978
Iteration 68: (EM) log likelihood = -28795.307
Iteration 69: (EM) log likelihood = -28784.545
Iteration 70: (EM) log likelihood = -28774.67
Iteration 71: (EM) log likelihood = -28764.134
Iteration 72: (EM) log likelihood = -28753.412
Iteration 73: (EM) log likelihood = -28742.643
Iteration 74: (EM) log likelihood = -28732.123
Iteration 75: (EM) log likelihood = -28722.148
Iteration 76: (EM) log likelihood = -28711.406
Iteration 77: (EM) log likelihood = -28700.725
Iteration 78: (EM) log likelihood = -28690.151
Iteration 79: (EM) log likelihood = -28680.177
Iteration 80: (EM) log likelihood = -28669.732
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7372.5305
Iteration 1: (class) log likelihood = -7372.5305
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29424.248
Iteration 1: (outcome) log likelihood = -29186.366
Iteration 2: (outcome) log likelihood = -29109.173
Iteration 3: (outcome) log likelihood = -29096.831
Iteration 4: (outcome) log likelihood = -29094.095
Iteration 5: (outcome) log likelihood = -29093.492
Iteration 6: (outcome) log likelihood = -29093.4
Iteration 7: (outcome) log likelihood = -29093.389
Iteration 8: (outcome) log likelihood = -29093.387
Iteration 9: (outcome) log likelihood = -29093.386
Iteration 10: (outcome) log likelihood = -29093.386
Iteration 11: (outcome) log likelihood = -29093.386
Refining starting values:
Iteration 0: (EM) log likelihood = -36454.553
Iteration 1: (EM) log likelihood = -36388.274
Iteration 2: (EM) log likelihood = -36174.691
Iteration 3: (EM) log likelihood = -35632.85
Iteration 4: (EM) log likelihood = -34673.82
Iteration 5: (EM) log likelihood = -33587.403
Iteration 6: (EM) log likelihood = -32704.182
Iteration 7: (EM) log likelihood = -32062.123
Iteration 8: (EM) log likelihood = -31593.361
Iteration 9: (EM) log likelihood = -31237.235
Iteration 10: (EM) log likelihood = -30952.022
Iteration 11: (EM) log likelihood = -30717.016
Iteration 12: (EM) log likelihood = -30532.334
Iteration 13: (EM) log likelihood = -30394.23
Iteration 14: (EM) log likelihood = -30291.239
Iteration 15: (EM) log likelihood = -30208.882
Iteration 16: (EM) log likelihood = -30142.18
Iteration 17: (EM) log likelihood = -30082.744
Iteration 18: (EM) log likelihood = -30027.884
Iteration 19: (EM) log likelihood = -29976.347
Iteration 20: (EM) log likelihood = -29927.648
Iteration 21: (EM) log likelihood = -29879.796
Iteration 22: (EM) log likelihood = -29832.12
Iteration 23: (EM) log likelihood = -29784.69
Iteration 24: (EM) log likelihood = -29737.529
Iteration 25: (EM) log likelihood = -29691.981
Iteration 26: (EM) log likelihood = -29647.308
Iteration 27: (EM) log likelihood = -29604.153
Iteration 28: (EM) log likelihood = -29562.718
Iteration 29: (EM) log likelihood = -29524.549
Iteration 30: (EM) log likelihood = -29488.999
Iteration 31: (EM) log likelihood = -29456.1
Iteration 32: (EM) log likelihood = -29425.099
Iteration 33: (EM) log likelihood = -29395.653
Iteration 34: (EM) log likelihood = -29369.071
Iteration 35: (EM) log likelihood = -29342.96
Iteration 36: (EM) log likelihood = -29320.439
Iteration 37: (EM) log likelihood = -29299.22
Iteration 38: (EM) log likelihood = -29279.795
Iteration 39: (EM) log likelihood = -29261.695
Iteration 40: (EM) log likelihood = -29244.398
Iteration 41: (EM) log likelihood = -29228.742
Iteration 42: (EM) log likelihood = -29214.548
Iteration 43: (EM) log likelihood = -29200.809
Iteration 44: (EM) log likelihood = -29188.005
Iteration 45: (EM) log likelihood = -29175.386
Iteration 46: (EM) log likelihood = -29164.415
Iteration 47: (EM) log likelihood = -29153.491
Iteration 48: (EM) log likelihood = -29142.953
Iteration 49: (EM) log likelihood = -29134.421
Iteration 50: (EM) log likelihood = -29126.441
Iteration 51: (EM) log likelihood = -29118.693
Iteration 52: (EM) log likelihood = -29110.651
Iteration 53: (EM) log likelihood = -29100.975
Iteration 54: (EM) log likelihood = -29091.348
Iteration 55: (EM) log likelihood = -29082.129
Iteration 56: (EM) log likelihood = -29073.627
Iteration 57: (EM) log likelihood = -29066.322
Iteration 58: (EM) log likelihood = -29059.963
Iteration 59: (EM) log likelihood = -29054.129
Iteration 60: (EM) log likelihood = -29049.244
Iteration 61: (EM) log likelihood = -29045.245
Iteration 62: (EM) log likelihood = -29041.768
Iteration 63: (EM) log likelihood = -29038.336
Iteration 64: (EM) log likelihood = -29035.689
Iteration 65: (EM) log likelihood = -29032.859
Iteration 66: (EM) log likelihood = -29030.392
Iteration 67: (EM) log likelihood = -29028.091
Iteration 68: (EM) log likelihood = -29025.267
Iteration 69: (EM) log likelihood = -29022.994
Iteration 70: (EM) log likelihood = -29020.512
Iteration 71: (EM) log likelihood = -29018.007
Iteration 72: (EM) log likelihood = -29016.078
Iteration 73: (EM) log likelihood = -29013.858
Iteration 74: (EM) log likelihood = -29012.063
Iteration 75: (EM) log likelihood = -29009.958
Iteration 76: (EM) log likelihood = -29008.32
Iteration 77: (EM) log likelihood = -29006.386
Iteration 78: (EM) log likelihood = -29004.146
Iteration 79: (EM) log likelihood = -29003.073
Iteration 80: (EM) log likelihood = -29001.22
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.6414
Iteration 1: (class) log likelihood = -7371.6414
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30030.55
Iteration 1: (outcome) log likelihood = -29237.176
Iteration 2: (outcome) log likelihood = -29118.761
Iteration 3: (outcome) log likelihood = -29093.644
Iteration 4: (outcome) log likelihood = -29088.703
Iteration 5: (outcome) log likelihood = -29087.534
Iteration 6: (outcome) log likelihood = -29087.346
Iteration 7: (outcome) log likelihood = -29087.299
Iteration 8: (outcome) log likelihood = -29087.29
Iteration 9: (outcome) log likelihood = -29087.288
Iteration 10: (outcome) log likelihood = -29087.287
Iteration 11: (outcome) log likelihood = -29087.287
Iteration 12: (outcome) log likelihood = -29087.287
Refining starting values:
Iteration 0: (EM) log likelihood = -36436.511
Iteration 1: (EM) log likelihood = -36340.451
Iteration 2: (EM) log likelihood = -35980.844
Iteration 3: (EM) log likelihood = -34953.127
Iteration 4: (EM) log likelihood = -33651.901
Iteration 5: (EM) log likelihood = -32813.538
Iteration 6: (EM) log likelihood = -32276.944
Iteration 7: (EM) log likelihood = -31876.523
Iteration 8: (EM) log likelihood = -31580.289
Iteration 9: (EM) log likelihood = -31364.725
Iteration 10: (EM) log likelihood = -31198.356
Iteration 11: (EM) log likelihood = -31050.666
Iteration 12: (EM) log likelihood = -30915.387
Iteration 13: (EM) log likelihood = -30787.045
Iteration 14: (EM) log likelihood = -30661.412
Iteration 15: (EM) log likelihood = -30540.209
Iteration 16: (EM) log likelihood = -30416.428
Iteration 17: (EM) log likelihood = -30292.176
Iteration 18: (EM) log likelihood = -30165.216
Iteration 19: (EM) log likelihood = -30044.161
Iteration 20: (EM) log likelihood = -29930.285
Iteration 21: (EM) log likelihood = -29828.827
Iteration 22: (EM) log likelihood = -29733.863
Iteration 23: (EM) log likelihood = -29649.657
Iteration 24: (EM) log likelihood = -29573.875
Iteration 25: (EM) log likelihood = -29501.079
Iteration 26: (EM) log likelihood = -29436.872
Iteration 27: (EM) log likelihood = -29378.79
Iteration 28: (EM) log likelihood = -29323.521
Iteration 29: (EM) log likelihood = -29273.043
Iteration 30: (EM) log likelihood = -29225.831
Iteration 31: (EM) log likelihood = -29183.857
Iteration 32: (EM) log likelihood = -29145.707
Iteration 33: (EM) log likelihood = -29112.135
Iteration 34: (EM) log likelihood = -29080.291
Iteration 35: (EM) log likelihood = -29052.743
Iteration 36: (EM) log likelihood = -29027.238
Iteration 37: (EM) log likelihood = -29003.919
Iteration 38: (EM) log likelihood = -28984.311
Iteration 39: (EM) log likelihood = -28965.925
Iteration 40: (EM) log likelihood = -28948.851
Iteration 41: (EM) log likelihood = -28932.414
Iteration 42: (EM) log likelihood = -28919.32
Iteration 43: (EM) log likelihood = -28907.745
Iteration 44: (EM) log likelihood = -28896.254
Iteration 45: (EM) log likelihood = -28886.135
Iteration 46: (EM) log likelihood = -28875.958
Iteration 47: (EM) log likelihood = -28867.555
Iteration 48: (EM) log likelihood = -28858.24
Iteration 49: (EM) log likelihood = -28850.087
Iteration 50: (EM) log likelihood = -28841.252
Iteration 51: (EM) log likelihood = -28830.76
Iteration 52: (EM) log likelihood = -28819.416
Iteration 53: (EM) log likelihood = -28807.537
Iteration 54: (EM) log likelihood = -28795.723
Iteration 55: (EM) log likelihood = -28783.008
Iteration 56: (EM) log likelihood = -28768.829
Iteration 57: (EM) log likelihood = -28754.673
Iteration 58: (EM) log likelihood = -28741.066
Iteration 59: (EM) log likelihood = -28728.465
Iteration 60: (EM) log likelihood = -28715.632
Iteration 61: (EM) log likelihood = -28703.737
Iteration 62: (EM) log likelihood = -28692.59
Iteration 63: (EM) log likelihood = -28682.928
Iteration 64: (EM) log likelihood = -28671.728
Iteration 65: (EM) log likelihood = -28664.126
Iteration 66: (EM) log likelihood = -28656.902
Iteration 67: (EM) log likelihood = -28650.445
Iteration 68: (EM) log likelihood = -28644.571
Iteration 69: (EM) log likelihood = -28638.905
Iteration 70: (EM) log likelihood = -28634.03
Iteration 71: (EM) log likelihood = -28629.067
Iteration 72: (EM) log likelihood = -28623.912
Iteration 73: (EM) log likelihood = -28619.666
Iteration 74: (EM) log likelihood = -28615.532
Iteration 75: (EM) log likelihood = -28611.407
Iteration 76: (EM) log likelihood = -28607.355
Iteration 77: (EM) log likelihood = -28602.605
Iteration 78: (EM) log likelihood = -28597.615
Iteration 79: (EM) log likelihood = -28590.901
Iteration 80: (EM) log likelihood = -28583.393
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.134
Iteration 1: (class) log likelihood = -7370.134
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30183.413
Iteration 1: (outcome) log likelihood = -29295.128
Iteration 2: (outcome) log likelihood = -29137.91
Iteration 3: (outcome) log likelihood = -29106.667
Iteration 4: (outcome) log likelihood = -29100.556
Iteration 5: (outcome) log likelihood = -29099.193
Iteration 6: (outcome) log likelihood = -29098.892
Iteration 7: (outcome) log likelihood = -29098.818
Iteration 8: (outcome) log likelihood = -29098.803
Iteration 9: (outcome) log likelihood = -29098.8
Iteration 10: (outcome) log likelihood = -29098.799
Iteration 11: (outcome) log likelihood = -29098.799
Iteration 12: (outcome) log likelihood = -29098.799
Refining starting values:
Iteration 0: (EM) log likelihood = -36435.671
Iteration 1: (EM) log likelihood = -36303.997
Iteration 2: (EM) log likelihood = -35936.666
Iteration 3: (EM) log likelihood = -35233.094
Iteration 4: (EM) log likelihood = -34294.15
Iteration 5: (EM) log likelihood = -33330.54
Iteration 6: (EM) log likelihood = -32506.651
Iteration 7: (EM) log likelihood = -31893.185
Iteration 8: (EM) log likelihood = -31461.962
Iteration 9: (EM) log likelihood = -31140.936
Iteration 10: (EM) log likelihood = -30873.18
Iteration 11: (EM) log likelihood = -30635.16
Iteration 12: (EM) log likelihood = -30419.304
Iteration 13: (EM) log likelihood = -30223.962
Iteration 14: (EM) log likelihood = -30058.094
Iteration 15: (EM) log likelihood = -29922.732
Iteration 16: (EM) log likelihood = -29817.755
Iteration 17: (EM) log likelihood = -29739.471
Iteration 18: (EM) log likelihood = -29683.218
Iteration 19: (EM) log likelihood = -29640.792
Iteration 20: (EM) log likelihood = -29607.914
Iteration 21: (EM) log likelihood = -29578.896
Iteration 22: (EM) log likelihood = -29553.566
Iteration 23: (EM) log likelihood = -29532.174
Iteration 24: (EM) log likelihood = -29513.857
Iteration 25: (EM) log likelihood = -29495.464
Iteration 26: (EM) log likelihood = -29477.723
Iteration 27: (EM) log likelihood = -29461.394
Iteration 28: (EM) log likelihood = -29445.005
Iteration 29: (EM) log likelihood = -29430.534
Iteration 30: (EM) log likelihood = -29417.786
Iteration 31: (EM) log likelihood = -29405.619
Iteration 32: (EM) log likelihood = -29393.537
Iteration 33: (EM) log likelihood = -29379.944
Iteration 34: (EM) log likelihood = -29366.936
Iteration 35: (EM) log likelihood = -29355.692
Iteration 36: (EM) log likelihood = -29342.112
Iteration 37: (EM) log likelihood = -29326.507
Iteration 38: (EM) log likelihood = -29313.227
Iteration 39: (EM) log likelihood = -29298.699
Iteration 40: (EM) log likelihood = -29283.725
Iteration 41: (EM) log likelihood = -29269.585
Iteration 42: (EM) log likelihood = -29250.697
Iteration 43: (EM) log likelihood = -29237.291
Iteration 44: (EM) log likelihood = -29222.967
Iteration 45: (EM) log likelihood = -29210.586
Iteration 46: (EM) log likelihood = -29195.649
Iteration 47: (EM) log likelihood = -29182.892
Iteration 48: (EM) log likelihood = -29167.727
Iteration 49: (EM) log likelihood = -29153.115
Iteration 50: (EM) log likelihood = -29139.705
Iteration 51: (EM) log likelihood = -29124.879
Iteration 52: (EM) log likelihood = -29111.46
Iteration 53: (EM) log likelihood = -29097.471
Iteration 54: (EM) log likelihood = -29084.995
Iteration 55: (EM) log likelihood = -29071.994
Iteration 56: (EM) log likelihood = -29057.79
Iteration 57: (EM) log likelihood = -29044.264
Iteration 58: (EM) log likelihood = -29030.175
Iteration 59: (EM) log likelihood = -29015.523
Iteration 60: (EM) log likelihood = -29000.137
Iteration 61: (EM) log likelihood = -28982.341
Iteration 62: (EM) log likelihood = -28962.475
Iteration 63: (EM) log likelihood = -28940.134
Iteration 64: (EM) log likelihood = -28916.138
Iteration 65: (EM) log likelihood = -28888.566
Iteration 66: (EM) log likelihood = -28859.838
Iteration 67: (EM) log likelihood = -28830.148
Iteration 68: (EM) log likelihood = -28798.885
Iteration 69: (EM) log likelihood = -28764.608
Iteration 70: (EM) log likelihood = -28730.054
Iteration 71: (EM) log likelihood = -28695.797
Iteration 72: (EM) log likelihood = -28664.598
Iteration 73: (EM) log likelihood = -28632.539
Iteration 74: (EM) log likelihood = -28604.693
Iteration 75: (EM) log likelihood = -28578.189
Iteration 76: (EM) log likelihood = -28555.289
Iteration 77: (EM) log likelihood = -28532.999
Iteration 78: (EM) log likelihood = -28516.118
Iteration 79: (EM) log likelihood = -28500.892
Iteration 80: (EM) log likelihood = -28486.872
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7369.8562
Iteration 1: (class) log likelihood = -7369.8562
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29459.236
Iteration 1: (outcome) log likelihood = -29173.929
Iteration 2: (outcome) log likelihood = -29115.649
Iteration 3: (outcome) log likelihood = -29102.952
Iteration 4: (outcome) log likelihood = -29100.65
Iteration 5: (outcome) log likelihood = -29100.142
Iteration 6: (outcome) log likelihood = -29100.019
Iteration 7: (outcome) log likelihood = -29099.993
Iteration 8: (outcome) log likelihood = -29099.988
Iteration 9: (outcome) log likelihood = -29099.987
Iteration 10: (outcome) log likelihood = -29099.986
Iteration 11: (outcome) log likelihood = -29099.986
Iteration 12: (outcome) log likelihood = -29099.986
Refining starting values:
Iteration 0: (EM) log likelihood = -36423.278
Iteration 1: (EM) log likelihood = -36240.348
Iteration 2: (EM) log likelihood = -35709.171
Iteration 3: (EM) log likelihood = -34738.139
Iteration 4: (EM) log likelihood = -33691.174
Iteration 5: (EM) log likelihood = -32832.979
Iteration 6: (EM) log likelihood = -32179.196
Iteration 7: (EM) log likelihood = -31712.794
Iteration 8: (EM) log likelihood = -31379.877
Iteration 9: (EM) log likelihood = -31101.096
Iteration 10: (EM) log likelihood = -30829.286
Iteration 11: (EM) log likelihood = -30554.493
Iteration 12: (EM) log likelihood = -30290.211
Iteration 13: (EM) log likelihood = -30058.69
Iteration 14: (EM) log likelihood = -29878.699
Iteration 15: (EM) log likelihood = -29744.184
Iteration 16: (EM) log likelihood = -29641.352
Iteration 17: (EM) log likelihood = -29561.81
Iteration 18: (EM) log likelihood = -29490.949
Iteration 19: (EM) log likelihood = -29423.638
Iteration 20: (EM) log likelihood = -29356.393
Iteration 21: (EM) log likelihood = -29286.06
Iteration 22: (EM) log likelihood = -29218.35
Iteration 23: (EM) log likelihood = -29151.295
Iteration 24: (EM) log likelihood = -29083.638
Iteration 25: (EM) log likelihood = -29018.342
Iteration 26: (EM) log likelihood = -28956.025
Iteration 27: (EM) log likelihood = -28900.108
Iteration 28: (EM) log likelihood = -28848.864
Iteration 29: (EM) log likelihood = -28802.444
Iteration 30: (EM) log likelihood = -28758.553
Iteration 31: (EM) log likelihood = -28719.046
Iteration 32: (EM) log likelihood = -28680.622
Iteration 33: (EM) log likelihood = -28648.12
Iteration 34: (EM) log likelihood = -28617.188
Iteration 35: (EM) log likelihood = -28589.223
Iteration 36: (EM) log likelihood = -28563.43
Iteration 37: (EM) log likelihood = -28541.28
Iteration 38: (EM) log likelihood = -28517.838
Iteration 39: (EM) log likelihood = -28495.22
Iteration 40: (EM) log likelihood = -28474.076
Iteration 41: (EM) log likelihood = -28453.681
Iteration 42: (EM) log likelihood = -28434.393
Iteration 43: (EM) log likelihood = -28415.909
Iteration 44: (EM) log likelihood = -28399.728
Iteration 45: (EM) log likelihood = -28383.746
Iteration 46: (EM) log likelihood = -28368.388
Iteration 47: (EM) log likelihood = -28355.884
Iteration 48: (EM) log likelihood = -28343.048
Iteration 49: (EM) log likelihood = -28332.708
Iteration 50: (EM) log likelihood = -28322.733
Iteration 51: (EM) log likelihood = -28313.097
Iteration 52: (EM) log likelihood = -28305.234
Iteration 53: (EM) log likelihood = -28297.464
Iteration 54: (EM) log likelihood = -28290.982
Iteration 55: (EM) log likelihood = -28285.526
Iteration 56: (EM) log likelihood = -28280.365
Iteration 57: (EM) log likelihood = -28274.456
Iteration 58: (EM) log likelihood = -28272.047
Iteration 59: (EM) log likelihood = -28267.21
Iteration 60: (EM) log likelihood = -28259.19
Iteration 61: (EM) log likelihood = -28254.234
Iteration 62: (EM) log likelihood = -28248.083
Iteration 63: (EM) log likelihood = -28244.627
Iteration 64: (EM) log likelihood = -28239.878
Iteration 65: (EM) log likelihood = -28235.606
Iteration 66: (EM) log likelihood = -28229.576
Iteration 67: (EM) log likelihood = -28223.682
Iteration 68: (EM) log likelihood = -28219.3
Iteration 69: (EM) log likelihood = -28213.508
Iteration 70: (EM) log likelihood = -28209.798
Iteration 71: (EM) log likelihood = -28204.219
Iteration 72: (EM) log likelihood = -28199.531
Iteration 73: (EM) log likelihood = -28194.994
Iteration 74: (EM) log likelihood = -28191.083
Iteration 75: (EM) log likelihood = -28187.832
Iteration 76: (EM) log likelihood = -28183.938
Iteration 77: (EM) log likelihood = -28180.944
Iteration 78: (EM) log likelihood = -28178.019
Iteration 79: (EM) log likelihood = -28171.343
Iteration 80: (EM) log likelihood = -28166.324
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7365.0616
Iteration 1: (class) log likelihood = -7365.0616
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29588.875
Iteration 1: (outcome) log likelihood = -29203.767
Iteration 2: (outcome) log likelihood = -29118.176
Iteration 3: (outcome) log likelihood = -29105.619
Iteration 4: (outcome) log likelihood = -29102.839
Iteration 5: (outcome) log likelihood = -29102.249
Iteration 6: (outcome) log likelihood = -29102.151
Iteration 7: (outcome) log likelihood = -29102.128
Iteration 8: (outcome) log likelihood = -29102.123
Iteration 9: (outcome) log likelihood = -29102.121
Iteration 10: (outcome) log likelihood = -29102.121
Iteration 11: (outcome) log likelihood = -29102.121
Refining starting values:
Iteration 0: (EM) log likelihood = -36450.51
Iteration 1: (EM) log likelihood = -36385.383
Iteration 2: (EM) log likelihood = -36169.176
Iteration 3: (EM) log likelihood = -35498.936
Iteration 4: (EM) log likelihood = -34229.468
Iteration 5: (EM) log likelihood = -33025.992
Iteration 6: (EM) log likelihood = -32169.4
Iteration 7: (EM) log likelihood = -31559.908
Iteration 8: (EM) log likelihood = -31131.752
Iteration 9: (EM) log likelihood = -30826.117
Iteration 10: (EM) log likelihood = -30596.119
Iteration 11: (EM) log likelihood = -30415.178
Iteration 12: (EM) log likelihood = -30263.298
Iteration 13: (EM) log likelihood = -30132.227
Iteration 14: (EM) log likelihood = -30015.4
Iteration 15: (EM) log likelihood = -29907.688
Iteration 16: (EM) log likelihood = -29812.45
Iteration 17: (EM) log likelihood = -29727.287
Iteration 18: (EM) log likelihood = -29654.364
Iteration 19: (EM) log likelihood = -29587.378
Iteration 20: (EM) log likelihood = -29524.828
Iteration 21: (EM) log likelihood = -29466.106
Iteration 22: (EM) log likelihood = -29408.614
Iteration 23: (EM) log likelihood = -29350.348
Iteration 24: (EM) log likelihood = -29292.076
Iteration 25: (EM) log likelihood = -29232.887
Iteration 26: (EM) log likelihood = -29172.865
Iteration 27: (EM) log likelihood = -29113.129
Iteration 28: (EM) log likelihood = -29052.567
Iteration 29: (EM) log likelihood = -28995.086
Iteration 30: (EM) log likelihood = -28940.132
Iteration 31: (EM) log likelihood = -28883.059
Iteration 32: (EM) log likelihood = -28828.104
Iteration 33: (EM) log likelihood = -28779.717
Iteration 34: (EM) log likelihood = -28736.576
Iteration 35: (EM) log likelihood = -28697.449
Iteration 36: (EM) log likelihood = -28662.167
Iteration 37: (EM) log likelihood = -28630.414
Iteration 38: (EM) log likelihood = -28601.804
Iteration 39: (EM) log likelihood = -28575.381
Iteration 40: (EM) log likelihood = -28552.021
Iteration 41: (EM) log likelihood = -28530.484
Iteration 42: (EM) log likelihood = -28510.773
Iteration 43: (EM) log likelihood = -28491.192
Iteration 44: (EM) log likelihood = -28474.031
Iteration 45: (EM) log likelihood = -28458.711
Iteration 46: (EM) log likelihood = -28447.208
Iteration 47: (EM) log likelihood = -28435.333
Iteration 48: (EM) log likelihood = -28423.523
Iteration 49: (EM) log likelihood = -28412.6
Iteration 50: (EM) log likelihood = -28401.609
Iteration 51: (EM) log likelihood = -28389.597
Iteration 52: (EM) log likelihood = -28377.12
Iteration 53: (EM) log likelihood = -28364.521
Iteration 54: (EM) log likelihood = -28352.918
Iteration 55: (EM) log likelihood = -28339.3
Iteration 56: (EM) log likelihood = -28329.725
Iteration 57: (EM) log likelihood = -28323.62
Iteration 58: (EM) log likelihood = -28315.96
Iteration 59: (EM) log likelihood = -28310.369
Iteration 60: (EM) log likelihood = -28302.391
Iteration 61: (EM) log likelihood = -28297.723
Iteration 62: (EM) log likelihood = -28294.42
Iteration 63: (EM) log likelihood = -28291.335
Iteration 64: (EM) log likelihood = -28288.899
Iteration 65: (EM) log likelihood = -28284.674
Iteration 66: (EM) log likelihood = -28282.515
Iteration 67: (EM) log likelihood = -28280.733
Iteration 68: (EM) log likelihood = -28279.552
Iteration 69: (EM) log likelihood = -28277.712
Iteration 70: (EM) log likelihood = -28276.155
Iteration 71: (EM) log likelihood = -28274.581
Iteration 72: (EM) log likelihood = -28272.989
Iteration 73: (EM) log likelihood = -28271.376
Iteration 74: (EM) log likelihood = -28270.629
Iteration 75: (EM) log likelihood = -28268.411
Iteration 76: (EM) log likelihood = -28264.832
Iteration 77: (EM) log likelihood = -28262.377
Iteration 78: (EM) log likelihood = -28258.219
Iteration 79: (EM) log likelihood = -28253.879
Iteration 80: (EM) log likelihood = -28251.037
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7369.077
Iteration 1: (class) log likelihood = -7369.077
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29884.058
Iteration 1: (outcome) log likelihood = -29284.465
Iteration 2: (outcome) log likelihood = -29131.966
Iteration 3: (outcome) log likelihood = -29104.756
Iteration 4: (outcome) log likelihood = -29100.138
Iteration 5: (outcome) log likelihood = -29099.078
Iteration 6: (outcome) log likelihood = -29098.817
Iteration 7: (outcome) log likelihood = -29098.764
Iteration 8: (outcome) log likelihood = -29098.753
Iteration 9: (outcome) log likelihood = -29098.751
Iteration 10: (outcome) log likelihood = -29098.75
Iteration 11: (outcome) log likelihood = -29098.75
Iteration 12: (outcome) log likelihood = -29098.75
Refining starting values:
Iteration 0: (EM) log likelihood = -36442.215
Iteration 1: (EM) log likelihood = -36338.468
Iteration 2: (EM) log likelihood = -36007.203
Iteration 3: (EM) log likelihood = -35217.669
Iteration 4: (EM) log likelihood = -34097.599
Iteration 5: (EM) log likelihood = -33158.023
Iteration 6: (EM) log likelihood = -32507.857
Iteration 7: (EM) log likelihood = -32053.589
Iteration 8: (EM) log likelihood = -31711.412
Iteration 9: (EM) log likelihood = -31427.762
Iteration 10: (EM) log likelihood = -31171.955
Iteration 11: (EM) log likelihood = -30939.927
Iteration 12: (EM) log likelihood = -30731.813
Iteration 13: (EM) log likelihood = -30542.851
Iteration 14: (EM) log likelihood = -30368.002
Iteration 15: (EM) log likelihood = -30204.658
Iteration 16: (EM) log likelihood = -30059.79
Iteration 17: (EM) log likelihood = -29936.502
Iteration 18: (EM) log likelihood = -29832.956
Iteration 19: (EM) log likelihood = -29749.48
Iteration 20: (EM) log likelihood = -29681.576
Iteration 21: (EM) log likelihood = -29625.862
Iteration 22: (EM) log likelihood = -29581.79
Iteration 23: (EM) log likelihood = -29546.443
Iteration 24: (EM) log likelihood = -29518.358
Iteration 25: (EM) log likelihood = -29494.531
Iteration 26: (EM) log likelihood = -29472.931
Iteration 27: (EM) log likelihood = -29451.351
Iteration 28: (EM) log likelihood = -29429.863
Iteration 29: (EM) log likelihood = -29409.441
Iteration 30: (EM) log likelihood = -29387.788
Iteration 31: (EM) log likelihood = -29368.484
Iteration 32: (EM) log likelihood = -29349.792
Iteration 33: (EM) log likelihood = -29332.306
Iteration 34: (EM) log likelihood = -29316.624
Iteration 35: (EM) log likelihood = -29300.298
Iteration 36: (EM) log likelihood = -29285.559
Iteration 37: (EM) log likelihood = -29270.213
Iteration 38: (EM) log likelihood = -29253.748
Iteration 39: (EM) log likelihood = -29238.26
Iteration 40: (EM) log likelihood = -29221.191
Iteration 41: (EM) log likelihood = -29203.193
Iteration 42: (EM) log likelihood = -29184.332
Iteration 43: (EM) log likelihood = -29164.301
Iteration 44: (EM) log likelihood = -29144.371
Iteration 45: (EM) log likelihood = -29121.733
Iteration 46: (EM) log likelihood = -29097.304
Iteration 47: (EM) log likelihood = -29072.96
Iteration 48: (EM) log likelihood = -29048.083
Iteration 49: (EM) log likelihood = -29022.082
Iteration 50: (EM) log likelihood = -28996.883
Iteration 51: (EM) log likelihood = -28972.905
Iteration 52: (EM) log likelihood = -28950.53
Iteration 53: (EM) log likelihood = -28927.142
Iteration 54: (EM) log likelihood = -28906.12
Iteration 55: (EM) log likelihood = -28887.132
Iteration 56: (EM) log likelihood = -28870.792
Iteration 57: (EM) log likelihood = -28853.281
Iteration 58: (EM) log likelihood = -28837.707
Iteration 59: (EM) log likelihood = -28823.225
Iteration 60: (EM) log likelihood = -28810.541
Iteration 61: (EM) log likelihood = -28797.451
Iteration 62: (EM) log likelihood = -28787.472
Iteration 63: (EM) log likelihood = -28775.961
Iteration 64: (EM) log likelihood = -28766.177
Iteration 65: (EM) log likelihood = -28756.617
Iteration 66: (EM) log likelihood = -28746.582
Iteration 67: (EM) log likelihood = -28737.555
Iteration 68: (EM) log likelihood = -28730.785
Iteration 69: (EM) log likelihood = -28719.757
Iteration 70: (EM) log likelihood = -28711.997
Iteration 71: (EM) log likelihood = -28704.979
Iteration 72: (EM) log likelihood = -28697.07
Iteration 73: (EM) log likelihood = -28691.173
Iteration 74: (EM) log likelihood = -28684.435
Iteration 75: (EM) log likelihood = -28679.52
Iteration 76: (EM) log likelihood = -28673.177
Iteration 77: (EM) log likelihood = -28667.428
Iteration 78: (EM) log likelihood = -28661.667
Iteration 79: (EM) log likelihood = -28657.789
Iteration 80: (EM) log likelihood = -28653.529
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7369.585
Iteration 1: (class) log likelihood = -7369.585
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29931.245
Iteration 1: (outcome) log likelihood = -29216.609
Iteration 2: (outcome) log likelihood = -29119.17
Iteration 3: (outcome) log likelihood = -29093.061
Iteration 4: (outcome) log likelihood = -29087.837
Iteration 5: (outcome) log likelihood = -29086.544
Iteration 6: (outcome) log likelihood = -29086.275
Iteration 7: (outcome) log likelihood = -29086.218
Iteration 8: (outcome) log likelihood = -29086.205
Iteration 9: (outcome) log likelihood = -29086.202
Iteration 10: (outcome) log likelihood = -29086.201
Iteration 11: (outcome) log likelihood = -29086.201
Iteration 12: (outcome) log likelihood = -29086.201
Iteration 13: (outcome) log likelihood = -29086.201
Refining starting values:
Iteration 0: (EM) log likelihood = -36427.265
Iteration 1: (EM) log likelihood = -36337.938
Iteration 2: (EM) log likelihood = -36089.199
Iteration 3: (EM) log likelihood = -35504.476
Iteration 4: (EM) log likelihood = -34586.534
Iteration 5: (EM) log likelihood = -33624.426
Iteration 6: (EM) log likelihood = -32766.041
Iteration 7: (EM) log likelihood = -32050.005
Iteration 8: (EM) log likelihood = -31528.043
Iteration 9: (EM) log likelihood = -31182.796
Iteration 10: (EM) log likelihood = -30947.083
Iteration 11: (EM) log likelihood = -30751.556
Iteration 12: (EM) log likelihood = -30566.977
Iteration 13: (EM) log likelihood = -30382.182
Iteration 14: (EM) log likelihood = -30209.377
Iteration 15: (EM) log likelihood = -30053.455
Iteration 16: (EM) log likelihood = -29924.035
Iteration 17: (EM) log likelihood = -29823.088
Iteration 18: (EM) log likelihood = -29743.533
Iteration 19: (EM) log likelihood = -29682.26
Iteration 20: (EM) log likelihood = -29634.051
Iteration 21: (EM) log likelihood = -29594.121
Iteration 22: (EM) log likelihood = -29558.754
Iteration 23: (EM) log likelihood = -29529.76
Iteration 24: (EM) log likelihood = -29503.659
Iteration 25: (EM) log likelihood = -29479.646
Iteration 26: (EM) log likelihood = -29457.893
Iteration 27: (EM) log likelihood = -29436.765
Iteration 28: (EM) log likelihood = -29416.139
Iteration 29: (EM) log likelihood = -29395.908
Iteration 30: (EM) log likelihood = -29375.809
Iteration 31: (EM) log likelihood = -29356.086
Iteration 32: (EM) log likelihood = -29335.018
Iteration 33: (EM) log likelihood = -29313.617
Iteration 34: (EM) log likelihood = -29291.738
Iteration 35: (EM) log likelihood = -29270.005
Iteration 36: (EM) log likelihood = -29245.447
Iteration 37: (EM) log likelihood = -29222.978
Iteration 38: (EM) log likelihood = -29199.327
Iteration 39: (EM) log likelihood = -29175.988
Iteration 40: (EM) log likelihood = -29152.637
Iteration 41: (EM) log likelihood = -29128.575
Iteration 42: (EM) log likelihood = -29105.892
Iteration 43: (EM) log likelihood = -29082.821
Iteration 44: (EM) log likelihood = -29060.281
Iteration 45: (EM) log likelihood = -29038.631
Iteration 46: (EM) log likelihood = -29017.41
Iteration 47: (EM) log likelihood = -28996.969
Iteration 48: (EM) log likelihood = -28976.993
Iteration 49: (EM) log likelihood = -28957.178
Iteration 50: (EM) log likelihood = -28937.452
Iteration 51: (EM) log likelihood = -28917.891
Iteration 52: (EM) log likelihood = -28898.308
Iteration 53: (EM) log likelihood = -28879.784
Iteration 54: (EM) log likelihood = -28861.698
Iteration 55: (EM) log likelihood = -28843.123
Iteration 56: (EM) log likelihood = -28825.902
Iteration 57: (EM) log likelihood = -28808.917
Iteration 58: (EM) log likelihood = -28792.746
Iteration 59: (EM) log likelihood = -28777.748
Iteration 60: (EM) log likelihood = -28763.03
Iteration 61: (EM) log likelihood = -28748.907
Iteration 62: (EM) log likelihood = -28736.091
Iteration 63: (EM) log likelihood = -28723.809
Iteration 64: (EM) log likelihood = -28711.538
Iteration 65: (EM) log likelihood = -28699.926
Iteration 66: (EM) log likelihood = -28688.845
Iteration 67: (EM) log likelihood = -28678.38
Iteration 68: (EM) log likelihood = -28668.05
Iteration 69: (EM) log likelihood = -28657.25
Iteration 70: (EM) log likelihood = -28647.513
Iteration 71: (EM) log likelihood = -28636.504
Iteration 72: (EM) log likelihood = -28626.005
Iteration 73: (EM) log likelihood = -28614.473
Iteration 74: (EM) log likelihood = -28602.982
Iteration 75: (EM) log likelihood = -28591.943
Iteration 76: (EM) log likelihood = -28579.983
Iteration 77: (EM) log likelihood = -28568.951
Iteration 78: (EM) log likelihood = -28557.518
Iteration 79: (EM) log likelihood = -28545.406
Iteration 80: (EM) log likelihood = -28531.733
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7369.858
Iteration 1: (class) log likelihood = -7369.858
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29934.772
Iteration 1: (outcome) log likelihood = -29242.178
Iteration 2: (outcome) log likelihood = -29130.912
Iteration 3: (outcome) log likelihood = -29105.702
Iteration 4: (outcome) log likelihood = -29101.035
Iteration 5: (outcome) log likelihood = -29099.965
Iteration 6: (outcome) log likelihood = -29099.726
Iteration 7: (outcome) log likelihood = -29099.667
Iteration 8: (outcome) log likelihood = -29099.655
Iteration 9: (outcome) log likelihood = -29099.653
Iteration 10: (outcome) log likelihood = -29099.653
Iteration 11: (outcome) log likelihood = -29099.653
Iteration 12: (outcome) log likelihood = -29099.653
Refining starting values:
Iteration 0: (EM) log likelihood = -36417.518
Iteration 1: (EM) log likelihood = -36225.714
Iteration 2: (EM) log likelihood = -35633.12
Iteration 3: (EM) log likelihood = -34507.212
Iteration 4: (EM) log likelihood = -33430.872
Iteration 5: (EM) log likelihood = -32672.726
Iteration 6: (EM) log likelihood = -32086.276
Iteration 7: (EM) log likelihood = -31604.761
Iteration 8: (EM) log likelihood = -31208.322
Iteration 9: (EM) log likelihood = -30903.232
Iteration 10: (EM) log likelihood = -30676.403
Iteration 11: (EM) log likelihood = -30506.688
Iteration 12: (EM) log likelihood = -30373.683
Iteration 13: (EM) log likelihood = -30261.902
Iteration 14: (EM) log likelihood = -30166.693
Iteration 15: (EM) log likelihood = -30079.456
Iteration 16: (EM) log likelihood = -30006.428
Iteration 17: (EM) log likelihood = -29941.859
Iteration 18: (EM) log likelihood = -29882.492
Iteration 19: (EM) log likelihood = -29828.278
Iteration 20: (EM) log likelihood = -29774.008
Iteration 21: (EM) log likelihood = -29718.996
Iteration 22: (EM) log likelihood = -29668.104
Iteration 23: (EM) log likelihood = -29618.147
Iteration 24: (EM) log likelihood = -29571.673
Iteration 25: (EM) log likelihood = -29522.181
Iteration 26: (EM) log likelihood = -29472.327
Iteration 27: (EM) log likelihood = -29423.507
Iteration 28: (EM) log likelihood = -29377.088
Iteration 29: (EM) log likelihood = -29330.211
Iteration 30: (EM) log likelihood = -29285.696
Iteration 31: (EM) log likelihood = -29243.231
Iteration 32: (EM) log likelihood = -29202.122
Iteration 33: (EM) log likelihood = -29162.271
Iteration 34: (EM) log likelihood = -29126.124
Iteration 35: (EM) log likelihood = -29091.401
Iteration 36: (EM) log likelihood = -29058.593
Iteration 37: (EM) log likelihood = -29027.166
Iteration 38: (EM) log likelihood = -28996.715
Iteration 39: (EM) log likelihood = -28968.758
Iteration 40: (EM) log likelihood = -28941.065
Iteration 41: (EM) log likelihood = -28915.941
Iteration 42: (EM) log likelihood = -28891.402
Iteration 43: (EM) log likelihood = -28868.36
Iteration 44: (EM) log likelihood = -28846.837
Iteration 45: (EM) log likelihood = -28825.656
Iteration 46: (EM) log likelihood = -28805.656
Iteration 47: (EM) log likelihood = -28786.613
Iteration 48: (EM) log likelihood = -28769.058
Iteration 49: (EM) log likelihood = -28751.695
Iteration 50: (EM) log likelihood = -28735.129
Iteration 51: (EM) log likelihood = -28720.523
Iteration 52: (EM) log likelihood = -28706.587
Iteration 53: (EM) log likelihood = -28694.407
Iteration 54: (EM) log likelihood = -28683.393
Iteration 55: (EM) log likelihood = -28672.543
Iteration 56: (EM) log likelihood = -28662.607
Iteration 57: (EM) log likelihood = -28654.198
Iteration 58: (EM) log likelihood = -28646.521
Iteration 59: (EM) log likelihood = -28639.106
Iteration 60: (EM) log likelihood = -28632.348
Iteration 61: (EM) log likelihood = -28627.238
Iteration 62: (EM) log likelihood = -28622.775
Iteration 63: (EM) log likelihood = -28618.78
Iteration 64: (EM) log likelihood = -28614.541
Iteration 65: (EM) log likelihood = -28610.799
Iteration 66: (EM) log likelihood = -28608.242
Iteration 67: (EM) log likelihood = -28605.283
Iteration 68: (EM) log likelihood = -28602.119
Iteration 69: (EM) log likelihood = -28599.062
Iteration 70: (EM) log likelihood = -28596.398
Iteration 71: (EM) log likelihood = -28593.451
Iteration 72: (EM) log likelihood = -28591.222
Iteration 73: (EM) log likelihood = -28589.486
Iteration 74: (EM) log likelihood = -28587.203
Iteration 75: (EM) log likelihood = -28583.775
Iteration 76: (EM) log likelihood = -28582.023
Iteration 77: (EM) log likelihood = -28580.95
Iteration 78: (EM) log likelihood = -28578.968
Iteration 79: (EM) log likelihood = -28578.127
Iteration 80: (EM) log likelihood = -28576.618
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.2931
Iteration 1: (class) log likelihood = -7370.2931
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29278.753
Iteration 1: (outcome) log likelihood = -29150.581
Iteration 2: (outcome) log likelihood = -29108.869
Iteration 3: (outcome) log likelihood = -29102.638
Iteration 4: (outcome) log likelihood = -29101.577
Iteration 5: (outcome) log likelihood = -29101.466
Iteration 6: (outcome) log likelihood = -29101.442
Iteration 7: (outcome) log likelihood = -29101.437
Iteration 8: (outcome) log likelihood = -29101.436
Iteration 9: (outcome) log likelihood = -29101.435
Iteration 10: (outcome) log likelihood = -29101.435
Iteration 11: (outcome) log likelihood = -29101.435
Refining starting values:
Iteration 0: (EM) log likelihood = -36443.945
Iteration 1: (EM) log likelihood = -36328.647
Iteration 2: (EM) log likelihood = -35950.815
Iteration 3: (EM) log likelihood = -35026.27
Iteration 4: (EM) log likelihood = -33782.738
Iteration 5: (EM) log likelihood = -32759.136
Iteration 6: (EM) log likelihood = -32004.673
Iteration 7: (EM) log likelihood = -31453.325
Iteration 8: (EM) log likelihood = -31038.104
Iteration 9: (EM) log likelihood = -30704.444
Iteration 10: (EM) log likelihood = -30432.294
Iteration 11: (EM) log likelihood = -30212.76
Iteration 12: (EM) log likelihood = -30046.3
Iteration 13: (EM) log likelihood = -29925.746
Iteration 14: (EM) log likelihood = -29841.033
Iteration 15: (EM) log likelihood = -29781.34
Iteration 16: (EM) log likelihood = -29738.026
Iteration 17: (EM) log likelihood = -29704.156
Iteration 18: (EM) log likelihood = -29675.074
Iteration 19: (EM) log likelihood = -29651.161
Iteration 20: (EM) log likelihood = -29628.891
Iteration 21: (EM) log likelihood = -29606.093
Iteration 22: (EM) log likelihood = -29582.335
Iteration 23: (EM) log likelihood = -29556.193
Iteration 24: (EM) log likelihood = -29527.968
Iteration 25: (EM) log likelihood = -29497.87
Iteration 26: (EM) log likelihood = -29466.206
Iteration 27: (EM) log likelihood = -29433.706
Iteration 28: (EM) log likelihood = -29402.347
Iteration 29: (EM) log likelihood = -29370.55
Iteration 30: (EM) log likelihood = -29340.324
Iteration 31: (EM) log likelihood = -29312.777
Iteration 32: (EM) log likelihood = -29285.708
Iteration 33: (EM) log likelihood = -29261.046
Iteration 34: (EM) log likelihood = -29238.329
Iteration 35: (EM) log likelihood = -29217.312
Iteration 36: (EM) log likelihood = -29197.547
Iteration 37: (EM) log likelihood = -29179.256
Iteration 38: (EM) log likelihood = -29162.517
Iteration 39: (EM) log likelihood = -29145.758
Iteration 40: (EM) log likelihood = -29130.133
Iteration 41: (EM) log likelihood = -29113.622
Iteration 42: (EM) log likelihood = -29096.657
Iteration 43: (EM) log likelihood = -29081.668
Iteration 44: (EM) log likelihood = -29066.195
Iteration 45: (EM) log likelihood = -29051.585
Iteration 46: (EM) log likelihood = -29038.792
Iteration 47: (EM) log likelihood = -29024.673
Iteration 48: (EM) log likelihood = -29011.431
Iteration 49: (EM) log likelihood = -28998.273
Iteration 50: (EM) log likelihood = -28986.638
Iteration 51: (EM) log likelihood = -28976.834
Iteration 52: (EM) log likelihood = -28964.259
Iteration 53: (EM) log likelihood = -28954.372
Iteration 54: (EM) log likelihood = -28942.653
Iteration 55: (EM) log likelihood = -28930.563
Iteration 56: (EM) log likelihood = -28919.459
Iteration 57: (EM) log likelihood = -28909.71
Iteration 58: (EM) log likelihood = -28899.825
Iteration 59: (EM) log likelihood = -28888.921
Iteration 60: (EM) log likelihood = -28878.575
Iteration 61: (EM) log likelihood = -28869.535
Iteration 62: (EM) log likelihood = -28859.16
Iteration 63: (EM) log likelihood = -28848.943
Iteration 64: (EM) log likelihood = -28839.344
Iteration 65: (EM) log likelihood = -28831.212
Iteration 66: (EM) log likelihood = -28820.81
Iteration 67: (EM) log likelihood = -28811.185
Iteration 68: (EM) log likelihood = -28802.352
Iteration 69: (EM) log likelihood = -28794.968
Iteration 70: (EM) log likelihood = -28787.87
Iteration 71: (EM) log likelihood = -28779.974
Iteration 72: (EM) log likelihood = -28772.769
Iteration 73: (EM) log likelihood = -28764.736
Iteration 74: (EM) log likelihood = -28756.39
Iteration 75: (EM) log likelihood = -28749.132
Iteration 76: (EM) log likelihood = -28741.677
Iteration 77: (EM) log likelihood = -28733.467
Iteration 78: (EM) log likelihood = -28726.201
Iteration 79: (EM) log likelihood = -28718.161
Iteration 80: (EM) log likelihood = -28711.578
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.2048
Iteration 1: (class) log likelihood = -7370.2048
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30604.724
Iteration 1: (outcome) log likelihood = -29334.869
Iteration 2: (outcome) log likelihood = -29135.421
Iteration 3: (outcome) log likelihood = -29092.531
Iteration 4: (outcome) log likelihood = -29082.155
Iteration 5: (outcome) log likelihood = -29080.155
Iteration 6: (outcome) log likelihood = -29079.81
Iteration 7: (outcome) log likelihood = -29079.731
Iteration 8: (outcome) log likelihood = -29079.712
Iteration 9: (outcome) log likelihood = -29079.708
Iteration 10: (outcome) log likelihood = -29079.707
Iteration 11: (outcome) log likelihood = -29079.707
Iteration 12: (outcome) log likelihood = -29079.707
Iteration 13: (outcome) log likelihood = -29079.707
Refining starting values:
Iteration 0: (EM) log likelihood = -36425.716
Iteration 1: (EM) log likelihood = -36302.508
Iteration 2: (EM) log likelihood = -35865.397
Iteration 3: (EM) log likelihood = -34854.364
Iteration 4: (EM) log likelihood = -33717.591
Iteration 5: (EM) log likelihood = -32933.045
Iteration 6: (EM) log likelihood = -32379.307
Iteration 7: (EM) log likelihood = -31927.341
Iteration 8: (EM) log likelihood = -31525.183
Iteration 9: (EM) log likelihood = -31171.643
Iteration 10: (EM) log likelihood = -30870.111
Iteration 11: (EM) log likelihood = -30629.011
Iteration 12: (EM) log likelihood = -30446.861
Iteration 13: (EM) log likelihood = -30310.426
Iteration 14: (EM) log likelihood = -30202.541
Iteration 15: (EM) log likelihood = -30109.288
Iteration 16: (EM) log likelihood = -30022.148
Iteration 17: (EM) log likelihood = -29938.903
Iteration 18: (EM) log likelihood = -29858.291
Iteration 19: (EM) log likelihood = -29782.352
Iteration 20: (EM) log likelihood = -29713.394
Iteration 21: (EM) log likelihood = -29652.482
Iteration 22: (EM) log likelihood = -29600.228
Iteration 23: (EM) log likelihood = -29557.013
Iteration 24: (EM) log likelihood = -29519.744
Iteration 25: (EM) log likelihood = -29487.767
Iteration 26: (EM) log likelihood = -29460.403
Iteration 27: (EM) log likelihood = -29437.003
Iteration 28: (EM) log likelihood = -29415.832
Iteration 29: (EM) log likelihood = -29396.553
Iteration 30: (EM) log likelihood = -29377.815
Iteration 31: (EM) log likelihood = -29355.445
Iteration 32: (EM) log likelihood = -29327.498
Iteration 33: (EM) log likelihood = -29296.331
Iteration 34: (EM) log likelihood = -29265.941
Iteration 35: (EM) log likelihood = -29242.739
Iteration 36: (EM) log likelihood = -29224.915
Iteration 37: (EM) log likelihood = -29212.151
Iteration 38: (EM) log likelihood = -29202.384
Iteration 39: (EM) log likelihood = -29193.938
Iteration 40: (EM) log likelihood = -29186.889
Iteration 41: (EM) log likelihood = -29180.012
Iteration 42: (EM) log likelihood = -29172.987
Iteration 43: (EM) log likelihood = -29165.615
Iteration 44: (EM) log likelihood = -29157.055
Iteration 45: (EM) log likelihood = -29149.682
Iteration 46: (EM) log likelihood = -29141.199
Iteration 47: (EM) log likelihood = -29132.982
Iteration 48: (EM) log likelihood = -29125.439
Iteration 49: (EM) log likelihood = -29117.701
Iteration 50: (EM) log likelihood = -29110.663
Iteration 51: (EM) log likelihood = -29103.16
Iteration 52: (EM) log likelihood = -29096.74
Iteration 53: (EM) log likelihood = -29090.838
Iteration 54: (EM) log likelihood = -29085.523
Iteration 55: (EM) log likelihood = -29079.904
Iteration 56: (EM) log likelihood = -29074.747
Iteration 57: (EM) log likelihood = -29070.022
Iteration 58: (EM) log likelihood = -29065.757
Iteration 59: (EM) log likelihood = -29061.642
Iteration 60: (EM) log likelihood = -29057.062
Iteration 61: (EM) log likelihood = -29052.79
Iteration 62: (EM) log likelihood = -29048.699
Iteration 63: (EM) log likelihood = -29044.871
Iteration 64: (EM) log likelihood = -29041.073
Iteration 65: (EM) log likelihood = -29037.587
Iteration 66: (EM) log likelihood = -29034.534
Iteration 67: (EM) log likelihood = -29031.367
Iteration 68: (EM) log likelihood = -29028.587
Iteration 69: (EM) log likelihood = -29024.871
Iteration 70: (EM) log likelihood = -29021.747
Iteration 71: (EM) log likelihood = -29019.019
Iteration 72: (EM) log likelihood = -29016.31
Iteration 73: (EM) log likelihood = -29013.44
Iteration 74: (EM) log likelihood = -29010.761
Iteration 75: (EM) log likelihood = -29007.681
Iteration 76: (EM) log likelihood = -29004.677
Iteration 77: (EM) log likelihood = -29001.726
Iteration 78: (EM) log likelihood = -28999.216
Iteration 79: (EM) log likelihood = -28996.336
Iteration 80: (EM) log likelihood = -28993.164
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.5711
Iteration 1: (class) log likelihood = -7371.5711
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30193.847
Iteration 1: (outcome) log likelihood = -29257.281
Iteration 2: (outcome) log likelihood = -29125.852
Iteration 3: (outcome) log likelihood = -29093.592
Iteration 4: (outcome) log likelihood = -29086.998
Iteration 5: (outcome) log likelihood = -29085.491
Iteration 6: (outcome) log likelihood = -29085.245
Iteration 7: (outcome) log likelihood = -29085.185
Iteration 8: (outcome) log likelihood = -29085.172
Iteration 9: (outcome) log likelihood = -29085.17
Iteration 10: (outcome) log likelihood = -29085.169
Iteration 11: (outcome) log likelihood = -29085.169
Iteration 12: (outcome) log likelihood = -29085.169
Iteration 13: (outcome) log likelihood = -29085.169
Refining starting values:
Iteration 0: (EM) log likelihood = -36432.655
Iteration 1: (EM) log likelihood = -36343.279
Iteration 2: (EM) log likelihood = -36060.303
Iteration 3: (EM) log likelihood = -35300.469
Iteration 4: (EM) log likelihood = -34071.893
Iteration 5: (EM) log likelihood = -33006.497
Iteration 6: (EM) log likelihood = -32293.329
Iteration 7: (EM) log likelihood = -31763.974
Iteration 8: (EM) log likelihood = -31317.517
Iteration 9: (EM) log likelihood = -30932.838
Iteration 10: (EM) log likelihood = -30614.858
Iteration 11: (EM) log likelihood = -30365.773
Iteration 12: (EM) log likelihood = -30171.576
Iteration 13: (EM) log likelihood = -30013.84
Iteration 14: (EM) log likelihood = -29880.272
Iteration 15: (EM) log likelihood = -29763.867
Iteration 16: (EM) log likelihood = -29654.654
Iteration 17: (EM) log likelihood = -29553.009
Iteration 18: (EM) log likelihood = -29458.996
Iteration 19: (EM) log likelihood = -29368.194
Iteration 20: (EM) log likelihood = -29283.963
Iteration 21: (EM) log likelihood = -29210.843
Iteration 22: (EM) log likelihood = -29145.457
Iteration 23: (EM) log likelihood = -29087.456
Iteration 24: (EM) log likelihood = -29037.507
Iteration 25: (EM) log likelihood = -28993.791
Iteration 26: (EM) log likelihood = -28951.841
Iteration 27: (EM) log likelihood = -28916.584
Iteration 28: (EM) log likelihood = -28886.877
Iteration 29: (EM) log likelihood = -28859.163
Iteration 30: (EM) log likelihood = -28833.894
Iteration 31: (EM) log likelihood = -28810.131
Iteration 32: (EM) log likelihood = -28788.446
Iteration 33: (EM) log likelihood = -28766.522
Iteration 34: (EM) log likelihood = -28744.495
Iteration 35: (EM) log likelihood = -28725.826
Iteration 36: (EM) log likelihood = -28705.088
Iteration 37: (EM) log likelihood = -28684.265
Iteration 38: (EM) log likelihood = -28661.839
Iteration 39: (EM) log likelihood = -28640.302
Iteration 40: (EM) log likelihood = -28620.652
Iteration 41: (EM) log likelihood = -28598.744
Iteration 42: (EM) log likelihood = -28575.542
Iteration 43: (EM) log likelihood = -28555.774
Iteration 44: (EM) log likelihood = -28532.825
Iteration 45: (EM) log likelihood = -28516.169
Iteration 46: (EM) log likelihood = -28494.438
Iteration 47: (EM) log likelihood = -28473.367
Iteration 48: (EM) log likelihood = -28451.159
Iteration 49: (EM) log likelihood = -28428.031
Iteration 50: (EM) log likelihood = -28404.297
Iteration 51: (EM) log likelihood = -28382.606
Iteration 52: (EM) log likelihood = -28363.324
Iteration 53: (EM) log likelihood = -28344.62
Iteration 54: (EM) log likelihood = -28326.578
Iteration 55: (EM) log likelihood = -28309.471
Iteration 56: (EM) log likelihood = -28295.941
Iteration 57: (EM) log likelihood = -28281.442
Iteration 58: (EM) log likelihood = -28268.257
Iteration 59: (EM) log likelihood = -28259.005
Iteration 60: (EM) log likelihood = -28250.185
Iteration 61: (EM) log likelihood = -28241.757
Iteration 62: (EM) log likelihood = -28236.192
Iteration 63: (EM) log likelihood = -28231.857
Iteration 64: (EM) log likelihood = -28227.806
Iteration 65: (EM) log likelihood = -28223.213
Iteration 66: (EM) log likelihood = -28216.853
Iteration 67: (EM) log likelihood = -28212.853
Iteration 68: (EM) log likelihood = -28207.148
Iteration 69: (EM) log likelihood = -28203.172
Iteration 70: (EM) log likelihood = -28199.62
Iteration 71: (EM) log likelihood = -28198.924
Iteration 72: (EM) log likelihood = -28193.624
Iteration 73: (EM) log likelihood = -28190.514
Iteration 74: (EM) log likelihood = -28187.236
Iteration 75: (EM) log likelihood = -28183.254
Iteration 76: (EM) log likelihood = -28179.041
Iteration 77: (EM) log likelihood = -28175.2
Iteration 78: (EM) log likelihood = -28171.134
Iteration 79: (EM) log likelihood = -28171.102
Iteration 80: (EM) log likelihood = -28165.746
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7366.8036
Iteration 1: (class) log likelihood = -7366.8036
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29888.383
Iteration 1: (outcome) log likelihood = -29282.178
Iteration 2: (outcome) log likelihood = -29125.983
Iteration 3: (outcome) log likelihood = -29099.6
Iteration 4: (outcome) log likelihood = -29095.128
Iteration 5: (outcome) log likelihood = -29094.091
Iteration 6: (outcome) log likelihood = -29093.839
Iteration 7: (outcome) log likelihood = -29093.787
Iteration 8: (outcome) log likelihood = -29093.776
Iteration 9: (outcome) log likelihood = -29093.774
Iteration 10: (outcome) log likelihood = -29093.773
Iteration 11: (outcome) log likelihood = -29093.773
Iteration 12: (outcome) log likelihood = -29093.773
Refining starting values:
Iteration 0: (EM) log likelihood = -36424.945
Iteration 1: (EM) log likelihood = -36276.451
Iteration 2: (EM) log likelihood = -35804.09
Iteration 3: (EM) log likelihood = -34849.293
Iteration 4: (EM) log likelihood = -33823.669
Iteration 5: (EM) log likelihood = -33058.651
Iteration 6: (EM) log likelihood = -32505.061
Iteration 7: (EM) log likelihood = -32090.65
Iteration 8: (EM) log likelihood = -31764.234
Iteration 9: (EM) log likelihood = -31492.524
Iteration 10: (EM) log likelihood = -31255.832
Iteration 11: (EM) log likelihood = -31038.504
Iteration 12: (EM) log likelihood = -30833.136
Iteration 13: (EM) log likelihood = -30643.805
Iteration 14: (EM) log likelihood = -30469.598
Iteration 15: (EM) log likelihood = -30302.716
Iteration 16: (EM) log likelihood = -30142.944
Iteration 17: (EM) log likelihood = -29991.83
Iteration 18: (EM) log likelihood = -29850.197
Iteration 19: (EM) log likelihood = -29719.523
Iteration 20: (EM) log likelihood = -29604.454
Iteration 21: (EM) log likelihood = -29499.259
Iteration 22: (EM) log likelihood = -29401.596
Iteration 23: (EM) log likelihood = -29307.108
Iteration 24: (EM) log likelihood = -29219.912
Iteration 25: (EM) log likelihood = -29139.463
Iteration 26: (EM) log likelihood = -29066.998
Iteration 27: (EM) log likelihood = -29003.987
Iteration 28: (EM) log likelihood = -28948.652
Iteration 29: (EM) log likelihood = -28900.215
Iteration 30: (EM) log likelihood = -28855.504
Iteration 31: (EM) log likelihood = -28813.118
Iteration 32: (EM) log likelihood = -28773.792
Iteration 33: (EM) log likelihood = -28737.635
Iteration 34: (EM) log likelihood = -28705.505
Iteration 35: (EM) log likelihood = -28673.462
Iteration 36: (EM) log likelihood = -28644.582
Iteration 37: (EM) log likelihood = -28618.74
Iteration 38: (EM) log likelihood = -28591.747
Iteration 39: (EM) log likelihood = -28565.279
Iteration 40: (EM) log likelihood = -28539.906
Iteration 41: (EM) log likelihood = -28517.323
Iteration 42: (EM) log likelihood = -28494.978
Iteration 43: (EM) log likelihood = -28474.153
Iteration 44: (EM) log likelihood = -28455.703
Iteration 45: (EM) log likelihood = -28438.209
Iteration 46: (EM) log likelihood = -28422.098
Iteration 47: (EM) log likelihood = -28407.323
Iteration 48: (EM) log likelihood = -28395.269
Iteration 49: (EM) log likelihood = -28381.724
Iteration 50: (EM) log likelihood = -28371.468
Iteration 51: (EM) log likelihood = -28362.113
Iteration 52: (EM) log likelihood = -28351.956
Iteration 53: (EM) log likelihood = -28342.384
Iteration 54: (EM) log likelihood = -28334.14
Iteration 55: (EM) log likelihood = -28329.384
Iteration 56: (EM) log likelihood = -28322.296
Iteration 57: (EM) log likelihood = -28312.499
Iteration 58: (EM) log likelihood = -28306.89
Iteration 59: (EM) log likelihood = -28300.878
Iteration 60: (EM) log likelihood = -28298.213
Iteration 61: (EM) log likelihood = -28293.683
Iteration 62: (EM) log likelihood = -28289.77
Iteration 63: (EM) log likelihood = -28285.856
Iteration 64: (EM) log likelihood = -28282.137
Iteration 65: (EM) log likelihood = -28277.745
Iteration 66: (EM) log likelihood = -28274.506
Iteration 67: (EM) log likelihood = -28271.919
Iteration 68: (EM) log likelihood = -28266.374
Iteration 69: (EM) log likelihood = -28260.286
Iteration 70: (EM) log likelihood = -28255.839
Iteration 71: (EM) log likelihood = -28251.155
Iteration 72: (EM) log likelihood = -28246.231
Iteration 73: (EM) log likelihood = -28242.253
Iteration 74: (EM) log likelihood = -28238.851
Iteration 75: (EM) log likelihood = -28234.243
Iteration 76: (EM) log likelihood = -28228.061
Iteration 77: (EM) log likelihood = -28228.697
Iteration 78: (EM) log likelihood = -28224.029
Iteration 79: (EM) log likelihood = -28218.961
Iteration 80: (EM) log likelihood = -28214.987
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.4842
Iteration 1: (class) log likelihood = -7370.4842
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29702.671
Iteration 1: (outcome) log likelihood = -29210.458
Iteration 2: (outcome) log likelihood = -29126.348
Iteration 3: (outcome) log likelihood = -29112.574
Iteration 4: (outcome) log likelihood = -29109.706
Iteration 5: (outcome) log likelihood = -29109.058
Iteration 6: (outcome) log likelihood = -29108.953
Iteration 7: (outcome) log likelihood = -29108.928
Iteration 8: (outcome) log likelihood = -29108.922
Iteration 9: (outcome) log likelihood = -29108.921
Iteration 10: (outcome) log likelihood = -29108.921
Iteration 11: (outcome) log likelihood = -29108.921
Iteration 12: (outcome) log likelihood = -29108.921
Refining starting values:
Iteration 0: (EM) log likelihood = -36455.805
Iteration 1: (EM) log likelihood = -36371.168
Iteration 2: (EM) log likelihood = -36094.167
Iteration 3: (EM) log likelihood = -35369.065
Iteration 4: (EM) log likelihood = -34272.399
Iteration 5: (EM) log likelihood = -33284.574
Iteration 6: (EM) log likelihood = -32522.593
Iteration 7: (EM) log likelihood = -31932.455
Iteration 8: (EM) log likelihood = -31463
Iteration 9: (EM) log likelihood = -31082.754
Iteration 10: (EM) log likelihood = -30772.393
Iteration 11: (EM) log likelihood = -30520.886
Iteration 12: (EM) log likelihood = -30317.487
Iteration 13: (EM) log likelihood = -30158.221
Iteration 14: (EM) log likelihood = -30031.768
Iteration 15: (EM) log likelihood = -29929.437
Iteration 16: (EM) log likelihood = -29843.596
Iteration 17: (EM) log likelihood = -29768.864
Iteration 18: (EM) log likelihood = -29700.668
Iteration 19: (EM) log likelihood = -29636.408
Iteration 20: (EM) log likelihood = -29576.632
Iteration 21: (EM) log likelihood = -29518.853
Iteration 22: (EM) log likelihood = -29465.082
Iteration 23: (EM) log likelihood = -29414.89
Iteration 24: (EM) log likelihood = -29366.83
Iteration 25: (EM) log likelihood = -29324.049
Iteration 26: (EM) log likelihood = -29286.549
Iteration 27: (EM) log likelihood = -29252.517
Iteration 28: (EM) log likelihood = -29222.001
Iteration 29: (EM) log likelihood = -29193.853
Iteration 30: (EM) log likelihood = -29168.12
Iteration 31: (EM) log likelihood = -29144.668
Iteration 32: (EM) log likelihood = -29122.715
Iteration 33: (EM) log likelihood = -29102.045
Iteration 34: (EM) log likelihood = -29082.938
Iteration 35: (EM) log likelihood = -29063.704
Iteration 36: (EM) log likelihood = -29046.315
Iteration 37: (EM) log likelihood = -29029.827
Iteration 38: (EM) log likelihood = -29014.728
Iteration 39: (EM) log likelihood = -29000.351
Iteration 40: (EM) log likelihood = -28987.295
Iteration 41: (EM) log likelihood = -28975.117
Iteration 42: (EM) log likelihood = -28964.243
Iteration 43: (EM) log likelihood = -28954.101
Iteration 44: (EM) log likelihood = -28944.78
Iteration 45: (EM) log likelihood = -28936.401
Iteration 46: (EM) log likelihood = -28928.393
Iteration 47: (EM) log likelihood = -28920.914
Iteration 48: (EM) log likelihood = -28914.311
Iteration 49: (EM) log likelihood = -28907.843
Iteration 50: (EM) log likelihood = -28901.887
Iteration 51: (EM) log likelihood = -28896.305
Iteration 52: (EM) log likelihood = -28891.922
Iteration 53: (EM) log likelihood = -28886.528
Iteration 54: (EM) log likelihood = -28881.616
Iteration 55: (EM) log likelihood = -28877.112
Iteration 56: (EM) log likelihood = -28872.631
Iteration 57: (EM) log likelihood = -28868.176
Iteration 58: (EM) log likelihood = -28863.851
Iteration 59: (EM) log likelihood = -28859.529
Iteration 60: (EM) log likelihood = -28855.435
Iteration 61: (EM) log likelihood = -28851.497
Iteration 62: (EM) log likelihood = -28847.622
Iteration 63: (EM) log likelihood = -28843.774
Iteration 64: (EM) log likelihood = -28839.754
Iteration 65: (EM) log likelihood = -28835.851
Iteration 66: (EM) log likelihood = -28832.01
Iteration 67: (EM) log likelihood = -28828.142
Iteration 68: (EM) log likelihood = -28824.33
Iteration 69: (EM) log likelihood = -28820.454
Iteration 70: (EM) log likelihood = -28816.458
Iteration 71: (EM) log likelihood = -28812.305
Iteration 72: (EM) log likelihood = -28808.065
Iteration 73: (EM) log likelihood = -28803.63
Iteration 74: (EM) log likelihood = -28799.106
Iteration 75: (EM) log likelihood = -28794.359
Iteration 76: (EM) log likelihood = -28789.03
Iteration 77: (EM) log likelihood = -28783.971
Iteration 78: (EM) log likelihood = -28779.06
Iteration 79: (EM) log likelihood = -28773.868
Iteration 80: (EM) log likelihood = -28768.484
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7366.3485
Iteration 1: (class) log likelihood = -7366.3485
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29586.282
Iteration 1: (outcome) log likelihood = -29167.091
Iteration 2: (outcome) log likelihood = -29103.598
Iteration 3: (outcome) log likelihood = -29089.301
Iteration 4: (outcome) log likelihood = -29086.535
Iteration 5: (outcome) log likelihood = -29085.923
Iteration 6: (outcome) log likelihood = -29085.786
Iteration 7: (outcome) log likelihood = -29085.751
Iteration 8: (outcome) log likelihood = -29085.745
Iteration 9: (outcome) log likelihood = -29085.744
Iteration 10: (outcome) log likelihood = -29085.743
Iteration 11: (outcome) log likelihood = -29085.743
Iteration 12: (outcome) log likelihood = -29085.743
Refining starting values:
Iteration 0: (EM) log likelihood = -36410.274
Iteration 1: (EM) log likelihood = -36202.427
Iteration 2: (EM) log likelihood = -35463.108
Iteration 3: (EM) log likelihood = -34169.824
Iteration 4: (EM) log likelihood = -33188.98
Iteration 5: (EM) log likelihood = -32545.981
Iteration 6: (EM) log likelihood = -32020.401
Iteration 7: (EM) log likelihood = -31588.195
Iteration 8: (EM) log likelihood = -31255.442
Iteration 9: (EM) log likelihood = -30990.053
Iteration 10: (EM) log likelihood = -30755.652
Iteration 11: (EM) log likelihood = -30529.512
Iteration 12: (EM) log likelihood = -30314.365
Iteration 13: (EM) log likelihood = -30117.852
Iteration 14: (EM) log likelihood = -29943.273
Iteration 15: (EM) log likelihood = -29793.226
Iteration 16: (EM) log likelihood = -29665.883
Iteration 17: (EM) log likelihood = -29557.118
Iteration 18: (EM) log likelihood = -29465.239
Iteration 19: (EM) log likelihood = -29389.736
Iteration 20: (EM) log likelihood = -29327.056
Iteration 21: (EM) log likelihood = -29274.865
Iteration 22: (EM) log likelihood = -29230.025
Iteration 23: (EM) log likelihood = -29191.713
Iteration 24: (EM) log likelihood = -29158.573
Iteration 25: (EM) log likelihood = -29128.838
Iteration 26: (EM) log likelihood = -29102.325
Iteration 27: (EM) log likelihood = -29078.34
Iteration 28: (EM) log likelihood = -29056.874
Iteration 29: (EM) log likelihood = -29038.054
Iteration 30: (EM) log likelihood = -29020.89
Iteration 31: (EM) log likelihood = -29005.686
Iteration 32: (EM) log likelihood = -28992.166
Iteration 33: (EM) log likelihood = -28980.001
Iteration 34: (EM) log likelihood = -28968.547
Iteration 35: (EM) log likelihood = -28958.955
Iteration 36: (EM) log likelihood = -28950.141
Iteration 37: (EM) log likelihood = -28942.444
Iteration 38: (EM) log likelihood = -28934.808
Iteration 39: (EM) log likelihood = -28927.807
Iteration 40: (EM) log likelihood = -28920.971
Iteration 41: (EM) log likelihood = -28914.552
Iteration 42: (EM) log likelihood = -28908.664
Iteration 43: (EM) log likelihood = -28903.848
Iteration 44: (EM) log likelihood = -28898.145
Iteration 45: (EM) log likelihood = -28892.828
Iteration 46: (EM) log likelihood = -28887.122
Iteration 47: (EM) log likelihood = -28882.295
Iteration 48: (EM) log likelihood = -28876.957
Iteration 49: (EM) log likelihood = -28871.773
Iteration 50: (EM) log likelihood = -28866.617
Iteration 51: (EM) log likelihood = -28861.167
Iteration 52: (EM) log likelihood = -28855.667
Iteration 53: (EM) log likelihood = -28850.581
Iteration 54: (EM) log likelihood = -28844.89
Iteration 55: (EM) log likelihood = -28838.46
Iteration 56: (EM) log likelihood = -28832.34
Iteration 57: (EM) log likelihood = -28826.518
Iteration 58: (EM) log likelihood = -28820.493
Iteration 59: (EM) log likelihood = -28814.773
Iteration 60: (EM) log likelihood = -28808.193
Iteration 61: (EM) log likelihood = -28802.042
Iteration 62: (EM) log likelihood = -28796.13
Iteration 63: (EM) log likelihood = -28789.835
Iteration 64: (EM) log likelihood = -28783.159
Iteration 65: (EM) log likelihood = -28776.918
Iteration 66: (EM) log likelihood = -28769.867
Iteration 67: (EM) log likelihood = -28763.505
Iteration 68: (EM) log likelihood = -28756.223
Iteration 69: (EM) log likelihood = -28749.554
Iteration 70: (EM) log likelihood = -28742.153
Iteration 71: (EM) log likelihood = -28734.42
Iteration 72: (EM) log likelihood = -28727.662
Iteration 73: (EM) log likelihood = -28720.06
Iteration 74: (EM) log likelihood = -28712.858
Iteration 75: (EM) log likelihood = -28706.457
Iteration 76: (EM) log likelihood = -28698.423
Iteration 77: (EM) log likelihood = -28691.315
Iteration 78: (EM) log likelihood = -28684.173
Iteration 79: (EM) log likelihood = -28676.91
Iteration 80: (EM) log likelihood = -28667.88
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7372.5284
Iteration 1: (class) log likelihood = -7372.5284
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30258.314
Iteration 1: (outcome) log likelihood = -29294.322
Iteration 2: (outcome) log likelihood = -29153.327
Iteration 3: (outcome) log likelihood = -29119.981
Iteration 4: (outcome) log likelihood = -29112.377
Iteration 5: (outcome) log likelihood = -29110.833
Iteration 6: (outcome) log likelihood = -29110.566
Iteration 7: (outcome) log likelihood = -29110.505
Iteration 8: (outcome) log likelihood = -29110.49
Iteration 9: (outcome) log likelihood = -29110.487
Iteration 10: (outcome) log likelihood = -29110.487
Iteration 11: (outcome) log likelihood = -29110.486
Iteration 12: (outcome) log likelihood = -29110.486
Refining starting values:
Iteration 0: (EM) log likelihood = -36467.204
Iteration 1: (EM) log likelihood = -36400.226
Iteration 2: (EM) log likelihood = -36184.442
Iteration 3: (EM) log likelihood = -35636.775
Iteration 4: (EM) log likelihood = -34751.974
Iteration 5: (EM) log likelihood = -33834.758
Iteration 6: (EM) log likelihood = -33035.215
Iteration 7: (EM) log likelihood = -32323.809
Iteration 8: (EM) log likelihood = -31702.189
Iteration 9: (EM) log likelihood = -31219.081
Iteration 10: (EM) log likelihood = -30856.035
Iteration 11: (EM) log likelihood = -30560.426
Iteration 12: (EM) log likelihood = -30307.369
Iteration 13: (EM) log likelihood = -30095.919
Iteration 14: (EM) log likelihood = -29921.416
Iteration 15: (EM) log likelihood = -29786.438
Iteration 16: (EM) log likelihood = -29680.418
Iteration 17: (EM) log likelihood = -29592.591
Iteration 18: (EM) log likelihood = -29520.066
Iteration 19: (EM) log likelihood = -29458.356
Iteration 20: (EM) log likelihood = -29404.489
Iteration 21: (EM) log likelihood = -29356.023
Iteration 22: (EM) log likelihood = -29312.157
Iteration 23: (EM) log likelihood = -29273.022
Iteration 24: (EM) log likelihood = -29229.837
Iteration 25: (EM) log likelihood = -29186.864
Iteration 26: (EM) log likelihood = -29142.583
Iteration 27: (EM) log likelihood = -29094.48
Iteration 28: (EM) log likelihood = -29049.987
Iteration 29: (EM) log likelihood = -29003.601
Iteration 30: (EM) log likelihood = -28956.306
Iteration 31: (EM) log likelihood = -28907.819
Iteration 32: (EM) log likelihood = -28861.527
Iteration 33: (EM) log likelihood = -28811.623
Iteration 34: (EM) log likelihood = -28760.721
Iteration 35: (EM) log likelihood = -28717.424
Iteration 36: (EM) log likelihood = -28677.492
Iteration 37: (EM) log likelihood = -28641.697
Iteration 38: (EM) log likelihood = -28606.568
Iteration 39: (EM) log likelihood = -28577.003
Iteration 40: (EM) log likelihood = -28550.396
Iteration 41: (EM) log likelihood = -28525.988
Iteration 42: (EM) log likelihood = -28502.929
Iteration 43: (EM) log likelihood = -28482.415
Iteration 44: (EM) log likelihood = -28463.318
Iteration 45: (EM) log likelihood = -28445.19
Iteration 46: (EM) log likelihood = -28429.317
Iteration 47: (EM) log likelihood = -28413.691
Iteration 48: (EM) log likelihood = -28398.596
Iteration 49: (EM) log likelihood = -28384.303
Iteration 50: (EM) log likelihood = -28371.098
Iteration 51: (EM) log likelihood = -28357.658
Iteration 52: (EM) log likelihood = -28347.257
Iteration 53: (EM) log likelihood = -28335.231
Iteration 54: (EM) log likelihood = -28324.071
Iteration 55: (EM) log likelihood = -28313.024
Iteration 56: (EM) log likelihood = -28302.386
Iteration 57: (EM) log likelihood = -28291.679
Iteration 58: (EM) log likelihood = -28280.565
Iteration 59: (EM) log likelihood = -28273.156
Iteration 60: (EM) log likelihood = -28263.881
Iteration 61: (EM) log likelihood = -28255.295
Iteration 62: (EM) log likelihood = -28248.14
Iteration 63: (EM) log likelihood = -28240.354
Iteration 64: (EM) log likelihood = -28232.215
Iteration 65: (EM) log likelihood = -28226.454
Iteration 66: (EM) log likelihood = -28220.311
Iteration 67: (EM) log likelihood = -28216.44
Iteration 68: (EM) log likelihood = -28211.256
Iteration 69: (EM) log likelihood = -28205.976
Iteration 70: (EM) log likelihood = -28201.66
Iteration 71: (EM) log likelihood = -28198.13
Iteration 72: (EM) log likelihood = -28193.598
Iteration 73: (EM) log likelihood = -28189.296
Iteration 74: (EM) log likelihood = -28183.971
Iteration 75: (EM) log likelihood = -28180.035
Iteration 76: (EM) log likelihood = -28174.587
Iteration 77: (EM) log likelihood = -28169.848
Iteration 78: (EM) log likelihood = -28165.157
Iteration 79: (EM) log likelihood = -28160.596
Iteration 80: (EM) log likelihood = -28159.327
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7372.6669
Iteration 1: (class) log likelihood = -7372.6669
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29275.768
Iteration 1: (outcome) log likelihood = -29150.041
Iteration 2: (outcome) log likelihood = -29108.395
Iteration 3: (outcome) log likelihood = -29101.72
Iteration 4: (outcome) log likelihood = -29100.852
Iteration 5: (outcome) log likelihood = -29100.738
Iteration 6: (outcome) log likelihood = -29100.716
Iteration 7: (outcome) log likelihood = -29100.711
Iteration 8: (outcome) log likelihood = -29100.71
Iteration 9: (outcome) log likelihood = -29100.71
Iteration 10: (outcome) log likelihood = -29100.71
Iteration 11: (outcome) log likelihood = -29100.71
Refining starting values:
Iteration 0: (EM) log likelihood = -36437.301
Iteration 1: (EM) log likelihood = -36307.665
Iteration 2: (EM) log likelihood = -35913.616
Iteration 3: (EM) log likelihood = -35097.76
Iteration 4: (EM) log likelihood = -34124.663
Iteration 5: (EM) log likelihood = -33281.99
Iteration 6: (EM) log likelihood = -32576.442
Iteration 7: (EM) log likelihood = -32001.099
Iteration 8: (EM) log likelihood = -31540.106
Iteration 9: (EM) log likelihood = -31166.138
Iteration 10: (EM) log likelihood = -30865.775
Iteration 11: (EM) log likelihood = -30623.819
Iteration 12: (EM) log likelihood = -30424.79
Iteration 13: (EM) log likelihood = -30261.558
Iteration 14: (EM) log likelihood = -30128.193
Iteration 15: (EM) log likelihood = -30023.996
Iteration 16: (EM) log likelihood = -29943.284
Iteration 17: (EM) log likelihood = -29876.512
Iteration 18: (EM) log likelihood = -29816.71
Iteration 19: (EM) log likelihood = -29760.653
Iteration 20: (EM) log likelihood = -29707.627
Iteration 21: (EM) log likelihood = -29655.984
Iteration 22: (EM) log likelihood = -29607.828
Iteration 23: (EM) log likelihood = -29562.841
Iteration 24: (EM) log likelihood = -29521.041
Iteration 25: (EM) log likelihood = -29481.427
Iteration 26: (EM) log likelihood = -29445.588
Iteration 27: (EM) log likelihood = -29411.312
Iteration 28: (EM) log likelihood = -29378.08
Iteration 29: (EM) log likelihood = -29344.311
Iteration 30: (EM) log likelihood = -29312.194
Iteration 31: (EM) log likelihood = -29280.582
Iteration 32: (EM) log likelihood = -29250.68
Iteration 33: (EM) log likelihood = -29222.09
Iteration 34: (EM) log likelihood = -29194.783
Iteration 35: (EM) log likelihood = -29168.617
Iteration 36: (EM) log likelihood = -29143.365
Iteration 37: (EM) log likelihood = -29120.529
Iteration 38: (EM) log likelihood = -29099.052
Iteration 39: (EM) log likelihood = -29079.147
Iteration 40: (EM) log likelihood = -29060.99
Iteration 41: (EM) log likelihood = -29044.002
Iteration 42: (EM) log likelihood = -29028.86
Iteration 43: (EM) log likelihood = -29014.828
Iteration 44: (EM) log likelihood = -29002.395
Iteration 45: (EM) log likelihood = -28990.962
Iteration 46: (EM) log likelihood = -28980.777
Iteration 47: (EM) log likelihood = -28971.588
Iteration 48: (EM) log likelihood = -28962.807
Iteration 49: (EM) log likelihood = -28955.248
Iteration 50: (EM) log likelihood = -28947.822
Iteration 51: (EM) log likelihood = -28941.31
Iteration 52: (EM) log likelihood = -28935.304
Iteration 53: (EM) log likelihood = -28929.57
Iteration 54: (EM) log likelihood = -28924.808
Iteration 55: (EM) log likelihood = -28919.99
Iteration 56: (EM) log likelihood = -28915.501
Iteration 57: (EM) log likelihood = -28911.002
Iteration 58: (EM) log likelihood = -28907.056
Iteration 59: (EM) log likelihood = -28903.23
Iteration 60: (EM) log likelihood = -28899.5
Iteration 61: (EM) log likelihood = -28895.319
Iteration 62: (EM) log likelihood = -28891.639
Iteration 63: (EM) log likelihood = -28888.177
Iteration 64: (EM) log likelihood = -28884.796
Iteration 65: (EM) log likelihood = -28881.515
Iteration 66: (EM) log likelihood = -28878.136
Iteration 67: (EM) log likelihood = -28874.827
Iteration 68: (EM) log likelihood = -28871.64
Iteration 69: (EM) log likelihood = -28868.347
Iteration 70: (EM) log likelihood = -28865.386
Iteration 71: (EM) log likelihood = -28862.354
Iteration 72: (EM) log likelihood = -28859.617
Iteration 73: (EM) log likelihood = -28856.62
Iteration 74: (EM) log likelihood = -28853.79
Iteration 75: (EM) log likelihood = -28851.037
Iteration 76: (EM) log likelihood = -28848.339
Iteration 77: (EM) log likelihood = -28845.804
Iteration 78: (EM) log likelihood = -28843.53
Iteration 79: (EM) log likelihood = -28841.138
Iteration 80: (EM) log likelihood = -28838.567
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7369.2067
Iteration 1: (class) log likelihood = -7369.2067
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29620.771
Iteration 1: (outcome) log likelihood = -29215.083
Iteration 2: (outcome) log likelihood = -29118.485
Iteration 3: (outcome) log likelihood = -29103.198
Iteration 4: (outcome) log likelihood = -29099.992
Iteration 5: (outcome) log likelihood = -29099.193
Iteration 6: (outcome) log likelihood = -29099.029
Iteration 7: (outcome) log likelihood = -29098.994
Iteration 8: (outcome) log likelihood = -29098.986
Iteration 9: (outcome) log likelihood = -29098.984
Iteration 10: (outcome) log likelihood = -29098.984
Iteration 11: (outcome) log likelihood = -29098.984
Iteration 12: (outcome) log likelihood = -29098.984
Refining starting values:
Iteration 0: (EM) log likelihood = -36443.551
Iteration 1: (EM) log likelihood = -36329.058
Iteration 2: (EM) log likelihood = -35914.001
Iteration 3: (EM) log likelihood = -34928.151
Iteration 4: (EM) log likelihood = -33794.483
Iteration 5: (EM) log likelihood = -32975.391
Iteration 6: (EM) log likelihood = -32375.299
Iteration 7: (EM) log likelihood = -31883.341
Iteration 8: (EM) log likelihood = -31464.895
Iteration 9: (EM) log likelihood = -31115.937
Iteration 10: (EM) log likelihood = -30828.457
Iteration 11: (EM) log likelihood = -30600.056
Iteration 12: (EM) log likelihood = -30416.656
Iteration 13: (EM) log likelihood = -30272.06
Iteration 14: (EM) log likelihood = -30155.279
Iteration 15: (EM) log likelihood = -30058.79
Iteration 16: (EM) log likelihood = -29976.038
Iteration 17: (EM) log likelihood = -29902.046
Iteration 18: (EM) log likelihood = -29831.686
Iteration 19: (EM) log likelihood = -29762.971
Iteration 20: (EM) log likelihood = -29693.855
Iteration 21: (EM) log likelihood = -29627.437
Iteration 22: (EM) log likelihood = -29565.115
Iteration 23: (EM) log likelihood = -29508.631
Iteration 24: (EM) log likelihood = -29454.927
Iteration 25: (EM) log likelihood = -29405.301
Iteration 26: (EM) log likelihood = -29357.205
Iteration 27: (EM) log likelihood = -29311.427
Iteration 28: (EM) log likelihood = -29267.679
Iteration 29: (EM) log likelihood = -29226.591
Iteration 30: (EM) log likelihood = -29187.653
Iteration 31: (EM) log likelihood = -29152.232
Iteration 32: (EM) log likelihood = -29119.757
Iteration 33: (EM) log likelihood = -29090.369
Iteration 34: (EM) log likelihood = -29061.231
Iteration 35: (EM) log likelihood = -29033.873
Iteration 36: (EM) log likelihood = -29009.886
Iteration 37: (EM) log likelihood = -28987.656
Iteration 38: (EM) log likelihood = -28972.076
Iteration 39: (EM) log likelihood = -28950.71
Iteration 40: (EM) log likelihood = -28930.131
Iteration 41: (EM) log likelihood = -28912.09
Iteration 42: (EM) log likelihood = -28895.787
Iteration 43: (EM) log likelihood = -28880.453
Iteration 44: (EM) log likelihood = -28867.137
Iteration 45: (EM) log likelihood = -28855.442
Iteration 46: (EM) log likelihood = -28844.922
Iteration 47: (EM) log likelihood = -28835.201
Iteration 48: (EM) log likelihood = -28818.845
Iteration 49: (EM) log likelihood = -28810.762
Iteration 50: (EM) log likelihood = -28802.792
Iteration 51: (EM) log likelihood = -28795.066
Iteration 52: (EM) log likelihood = -28784.682
Iteration 53: (EM) log likelihood = -28775.483
Iteration 54: (EM) log likelihood = -28767.151
Iteration 55: (EM) log likelihood = -28755.778
Iteration 56: (EM) log likelihood = -28746.684
Iteration 57: (EM) log likelihood = -28737.17
Iteration 58: (EM) log likelihood = -28728.433
Iteration 59: (EM) log likelihood = -28718.407
Iteration 60: (EM) log likelihood = -28708.462
Iteration 61: (EM) log likelihood = -28698.38
Iteration 62: (EM) log likelihood = -28689.005
Iteration 63: (EM) log likelihood = -28679.449
Iteration 64: (EM) log likelihood = -28667.958
Iteration 65: (EM) log likelihood = -28656.221
Iteration 66: (EM) log likelihood = -28646.254
Iteration 67: (EM) log likelihood = -28633.426
Iteration 68: (EM) log likelihood = -28619.717
Iteration 69: (EM) log likelihood = -28606.079
Iteration 70: (EM) log likelihood = -28591.928
Iteration 71: (EM) log likelihood = -28576.642
Iteration 72: (EM) log likelihood = -28559.509
Iteration 73: (EM) log likelihood = -28542.227
Iteration 74: (EM) log likelihood = -28525.41
Iteration 75: (EM) log likelihood = -28509.474
Iteration 76: (EM) log likelihood = -28492.76
Iteration 77: (EM) log likelihood = -28476.653
Iteration 78: (EM) log likelihood = -28460.86
Iteration 79: (EM) log likelihood = -28446.371
Iteration 80: (EM) log likelihood = -28432.12
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.8272
Iteration 1: (class) log likelihood = -7371.8272
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29858.284
Iteration 1: (outcome) log likelihood = -29257.012
Iteration 2: (outcome) log likelihood = -29134.556
Iteration 3: (outcome) log likelihood = -29109.418
Iteration 4: (outcome) log likelihood = -29104.348
Iteration 5: (outcome) log likelihood = -29103.274
Iteration 6: (outcome) log likelihood = -29103.03
Iteration 7: (outcome) log likelihood = -29102.969
Iteration 8: (outcome) log likelihood = -29102.957
Iteration 9: (outcome) log likelihood = -29102.955
Iteration 10: (outcome) log likelihood = -29102.955
Iteration 11: (outcome) log likelihood = -29102.955
Iteration 12: (outcome) log likelihood = -29102.955
Refining starting values:
Iteration 0: (EM) log likelihood = -36440.868
Iteration 1: (EM) log likelihood = -36307.723
Iteration 2: (EM) log likelihood = -35864.697
Iteration 3: (EM) log likelihood = -34904.997
Iteration 4: (EM) log likelihood = -33814.526
Iteration 5: (EM) log likelihood = -32959.796
Iteration 6: (EM) log likelihood = -32314.502
Iteration 7: (EM) log likelihood = -31817.528
Iteration 8: (EM) log likelihood = -31419.455
Iteration 9: (EM) log likelihood = -31065.502
Iteration 10: (EM) log likelihood = -30745.453
Iteration 11: (EM) log likelihood = -30464.075
Iteration 12: (EM) log likelihood = -30216.81
Iteration 13: (EM) log likelihood = -30003.312
Iteration 14: (EM) log likelihood = -29824.262
Iteration 15: (EM) log likelihood = -29670.982
Iteration 16: (EM) log likelihood = -29540.451
Iteration 17: (EM) log likelihood = -29427.715
Iteration 18: (EM) log likelihood = -29325.531
Iteration 19: (EM) log likelihood = -29235.441
Iteration 20: (EM) log likelihood = -29154.509
Iteration 21: (EM) log likelihood = -29083.087
Iteration 22: (EM) log likelihood = -29015.624
Iteration 23: (EM) log likelihood = -28955.126
Iteration 24: (EM) log likelihood = -28899.308
Iteration 25: (EM) log likelihood = -28849.599
Iteration 26: (EM) log likelihood = -28806.194
Iteration 27: (EM) log likelihood = -28766.124
Iteration 28: (EM) log likelihood = -28728.92
Iteration 29: (EM) log likelihood = -28693.718
Iteration 30: (EM) log likelihood = -28658.377
Iteration 31: (EM) log likelihood = -28624.182
Iteration 32: (EM) log likelihood = -28592.664
Iteration 33: (EM) log likelihood = -28564.199
Iteration 34: (EM) log likelihood = -28537.36
Iteration 35: (EM) log likelihood = -28511.75
Iteration 36: (EM) log likelihood = -28488.669
Iteration 37: (EM) log likelihood = -28468.929
Iteration 38: (EM) log likelihood = -28449.368
Iteration 39: (EM) log likelihood = -28430.777
Iteration 40: (EM) log likelihood = -28414.093
Iteration 41: (EM) log likelihood = -28399.379
Iteration 42: (EM) log likelihood = -28387.348
Iteration 43: (EM) log likelihood = -28373.557
Iteration 44: (EM) log likelihood = -28362.976
Iteration 45: (EM) log likelihood = -28352.891
Iteration 46: (EM) log likelihood = -28343.964
Iteration 47: (EM) log likelihood = -28335.559
Iteration 48: (EM) log likelihood = -28327.561
Iteration 49: (EM) log likelihood = -28319.81
Iteration 50: (EM) log likelihood = -28312.194
Iteration 51: (EM) log likelihood = -28304.337
Iteration 52: (EM) log likelihood = -28297.823
Iteration 53: (EM) log likelihood = -28291.161
Iteration 54: (EM) log likelihood = -28284.339
Iteration 55: (EM) log likelihood = -28276.66
Iteration 56: (EM) log likelihood = -28268.537
Iteration 57: (EM) log likelihood = -28262.165
Iteration 58: (EM) log likelihood = -28256.438
Iteration 59: (EM) log likelihood = -28251.204
Iteration 60: (EM) log likelihood = -28245.954
Iteration 61: (EM) log likelihood = -28240.948
Iteration 62: (EM) log likelihood = -28235.14
Iteration 63: (EM) log likelihood = -28232.796
Iteration 64: (EM) log likelihood = -28227.078
Iteration 65: (EM) log likelihood = -28222.76
Iteration 66: (EM) log likelihood = -28217.753
Iteration 67: (EM) log likelihood = -28213.772
Iteration 68: (EM) log likelihood = -28212.426
Iteration 69: (EM) log likelihood = -28209.258
Iteration 70: (EM) log likelihood = -28205.422
Iteration 71: (EM) log likelihood = -28201.605
Iteration 72: (EM) log likelihood = -28197.753
Iteration 73: (EM) log likelihood = -28191.407
Iteration 74: (EM) log likelihood = -28186.635
Iteration 75: (EM) log likelihood = -28182.774
Iteration 76: (EM) log likelihood = -28179.073
Iteration 77: (EM) log likelihood = -28175.887
Iteration 78: (EM) log likelihood = -28172.945
Iteration 79: (EM) log likelihood = -28170.133
Iteration 80: (EM) log likelihood = -28166.582
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.4187
Iteration 1: (class) log likelihood = -7370.4187
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29576.473
Iteration 1: (outcome) log likelihood = -29203.448
Iteration 2: (outcome) log likelihood = -29117.171
Iteration 3: (outcome) log likelihood = -29103.599
Iteration 4: (outcome) log likelihood = -29101.051
Iteration 5: (outcome) log likelihood = -29100.486
Iteration 6: (outcome) log likelihood = -29100.355
Iteration 7: (outcome) log likelihood = -29100.325
Iteration 8: (outcome) log likelihood = -29100.319
Iteration 9: (outcome) log likelihood = -29100.317
Iteration 10: (outcome) log likelihood = -29100.317
Iteration 11: (outcome) log likelihood = -29100.317
Refining starting values:
Iteration 0: (EM) log likelihood = -36428.474
Iteration 1: (EM) log likelihood = -36246.755
Iteration 2: (EM) log likelihood = -35657.588
Iteration 3: (EM) log likelihood = -34533.337
Iteration 4: (EM) log likelihood = -33496.112
Iteration 5: (EM) log likelihood = -32823.865
Iteration 6: (EM) log likelihood = -32328.185
Iteration 7: (EM) log likelihood = -31880.052
Iteration 8: (EM) log likelihood = -31460.527
Iteration 9: (EM) log likelihood = -31086.671
Iteration 10: (EM) log likelihood = -30774.115
Iteration 11: (EM) log likelihood = -30525.809
Iteration 12: (EM) log likelihood = -30335.748
Iteration 13: (EM) log likelihood = -30183.437
Iteration 14: (EM) log likelihood = -30059.366
Iteration 15: (EM) log likelihood = -29951.418
Iteration 16: (EM) log likelihood = -29852.457
Iteration 17: (EM) log likelihood = -29760.098
Iteration 18: (EM) log likelihood = -29671.956
Iteration 19: (EM) log likelihood = -29587.317
Iteration 20: (EM) log likelihood = -29506.655
Iteration 21: (EM) log likelihood = -29430.682
Iteration 22: (EM) log likelihood = -29357.869
Iteration 23: (EM) log likelihood = -29289.072
Iteration 24: (EM) log likelihood = -29224.421
Iteration 25: (EM) log likelihood = -29165.247
Iteration 26: (EM) log likelihood = -29110.81
Iteration 27: (EM) log likelihood = -29062.621
Iteration 28: (EM) log likelihood = -29019.955
Iteration 29: (EM) log likelihood = -28982.309
Iteration 30: (EM) log likelihood = -28949.512
Iteration 31: (EM) log likelihood = -28921.359
Iteration 32: (EM) log likelihood = -28896.866
Iteration 33: (EM) log likelihood = -28875.247
Iteration 34: (EM) log likelihood = -28855.551
Iteration 35: (EM) log likelihood = -28838.078
Iteration 36: (EM) log likelihood = -28823.183
Iteration 37: (EM) log likelihood = -28809.471
Iteration 38: (EM) log likelihood = -28798.224
Iteration 39: (EM) log likelihood = -28787.062
Iteration 40: (EM) log likelihood = -28776.828
Iteration 41: (EM) log likelihood = -28768.322
Iteration 42: (EM) log likelihood = -28760.501
Iteration 43: (EM) log likelihood = -28751.868
Iteration 44: (EM) log likelihood = -28745.812
Iteration 45: (EM) log likelihood = -28740.794
Iteration 46: (EM) log likelihood = -28736.531
Iteration 47: (EM) log likelihood = -28731.088
Iteration 48: (EM) log likelihood = -28726.298
Iteration 49: (EM) log likelihood = -28723.017
Iteration 50: (EM) log likelihood = -28719.642
Iteration 51: (EM) log likelihood = -28715.637
Iteration 52: (EM) log likelihood = -28712.945
Iteration 53: (EM) log likelihood = -28711.395
Iteration 54: (EM) log likelihood = -28708.497
Iteration 55: (EM) log likelihood = -28704.975
Iteration 56: (EM) log likelihood = -28702.175
Iteration 57: (EM) log likelihood = -28699.995
Iteration 58: (EM) log likelihood = -28697.722
Iteration 59: (EM) log likelihood = -28694.14
Iteration 60: (EM) log likelihood = -28691.458
Iteration 61: (EM) log likelihood = -28688.11
Iteration 62: (EM) log likelihood = -28686.265
Iteration 63: (EM) log likelihood = -28683.007
Iteration 64: (EM) log likelihood = -28680.046
Iteration 65: (EM) log likelihood = -28677.127
Iteration 66: (EM) log likelihood = -28674.152
Iteration 67: (EM) log likelihood = -28671.166
Iteration 68: (EM) log likelihood = -28668.926
Iteration 69: (EM) log likelihood = -28666.417
Iteration 70: (EM) log likelihood = -28663.869
Iteration 71: (EM) log likelihood = -28661.335
Iteration 72: (EM) log likelihood = -28657.753
Iteration 73: (EM) log likelihood = -28655.562
Iteration 74: (EM) log likelihood = -28651.205
Iteration 75: (EM) log likelihood = -28649.305
Iteration 76: (EM) log likelihood = -28646.948
Iteration 77: (EM) log likelihood = -28644.896
Iteration 78: (EM) log likelihood = -28642.521
Iteration 79: (EM) log likelihood = -28639.873
Iteration 80: (EM) log likelihood = -28637.551
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7369.1654
Iteration 1: (class) log likelihood = -7369.1654
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29996.488
Iteration 1: (outcome) log likelihood = -29236.809
Iteration 2: (outcome) log likelihood = -29132.08
Iteration 3: (outcome) log likelihood = -29104.939
Iteration 4: (outcome) log likelihood = -29099.247
Iteration 5: (outcome) log likelihood = -29097.989
Iteration 6: (outcome) log likelihood = -29097.776
Iteration 7: (outcome) log likelihood = -29097.726
Iteration 8: (outcome) log likelihood = -29097.714
Iteration 9: (outcome) log likelihood = -29097.712
Iteration 10: (outcome) log likelihood = -29097.711
Iteration 11: (outcome) log likelihood = -29097.711
Iteration 12: (outcome) log likelihood = -29097.711
Refining starting values:
Iteration 0: (EM) log likelihood = -36420.93
Iteration 1: (EM) log likelihood = -36242.179
Iteration 2: (EM) log likelihood = -35605.835
Iteration 3: (EM) log likelihood = -34304.702
Iteration 4: (EM) log likelihood = -33204.33
Iteration 5: (EM) log likelihood = -32538.178
Iteration 6: (EM) log likelihood = -32076.004
Iteration 7: (EM) log likelihood = -31718.851
Iteration 8: (EM) log likelihood = -31425.295
Iteration 9: (EM) log likelihood = -31173.96
Iteration 10: (EM) log likelihood = -30942.421
Iteration 11: (EM) log likelihood = -30725.03
Iteration 12: (EM) log likelihood = -30508.923
Iteration 13: (EM) log likelihood = -30296.483
Iteration 14: (EM) log likelihood = -30092.749
Iteration 15: (EM) log likelihood = -29907.593
Iteration 16: (EM) log likelihood = -29737.922
Iteration 17: (EM) log likelihood = -29585.257
Iteration 18: (EM) log likelihood = -29450.732
Iteration 19: (EM) log likelihood = -29334.103
Iteration 20: (EM) log likelihood = -29231.505
Iteration 21: (EM) log likelihood = -29145.286
Iteration 22: (EM) log likelihood = -29070.986
Iteration 23: (EM) log likelihood = -29009.932
Iteration 24: (EM) log likelihood = -28958.658
Iteration 25: (EM) log likelihood = -28914.996
Iteration 26: (EM) log likelihood = -28879.179
Iteration 27: (EM) log likelihood = -28848.431
Iteration 28: (EM) log likelihood = -28819.535
Iteration 29: (EM) log likelihood = -28796.186
Iteration 30: (EM) log likelihood = -28773.699
Iteration 31: (EM) log likelihood = -28754.855
Iteration 32: (EM) log likelihood = -28736.319
Iteration 33: (EM) log likelihood = -28719.148
Iteration 34: (EM) log likelihood = -28703.166
Iteration 35: (EM) log likelihood = -28687.871
Iteration 36: (EM) log likelihood = -28675.452
Iteration 37: (EM) log likelihood = -28663.941
Iteration 38: (EM) log likelihood = -28651.426
Iteration 39: (EM) log likelihood = -28640.796
Iteration 40: (EM) log likelihood = -28630.669
Iteration 41: (EM) log likelihood = -28621.299
Iteration 42: (EM) log likelihood = -28612.412
Iteration 43: (EM) log likelihood = -28602.372
Iteration 44: (EM) log likelihood = -28594.822
Iteration 45: (EM) log likelihood = -28588.318
Iteration 46: (EM) log likelihood = -28579.676
Iteration 47: (EM) log likelihood = -28573.041
Iteration 48: (EM) log likelihood = -28565.6
Iteration 49: (EM) log likelihood = -28557.972
Iteration 50: (EM) log likelihood = -28551.796
Iteration 51: (EM) log likelihood = -28544.289
Iteration 52: (EM) log likelihood = -28539.132
Iteration 53: (EM) log likelihood = -28533.656
Iteration 54: (EM) log likelihood = -28526.882
Iteration 55: (EM) log likelihood = -28518.204
Iteration 56: (EM) log likelihood = -28512.317
Iteration 57: (EM) log likelihood = -28507.991
Iteration 58: (EM) log likelihood = -28498.512
Iteration 59: (EM) log likelihood = -28492.764
Iteration 60: (EM) log likelihood = -28487.13
Iteration 61: (EM) log likelihood = -28481.009
Iteration 62: (EM) log likelihood = -28472.892
Iteration 63: (EM) log likelihood = -28465.024
Iteration 64: (EM) log likelihood = -28456.778
Iteration 65: (EM) log likelihood = -28450.025
Iteration 66: (EM) log likelihood = -28443.049
Iteration 67: (EM) log likelihood = -28435.557
Iteration 68: (EM) log likelihood = -28430.281
Iteration 69: (EM) log likelihood = -28423.638
Iteration 70: (EM) log likelihood = -28418.286
Iteration 71: (EM) log likelihood = -28411.053
Iteration 72: (EM) log likelihood = -28405.879
Iteration 73: (EM) log likelihood = -28400.449
Iteration 74: (EM) log likelihood = -28394.145
Iteration 75: (EM) log likelihood = -28390.601
Iteration 76: (EM) log likelihood = -28386.014
Iteration 77: (EM) log likelihood = -28380.555
Iteration 78: (EM) log likelihood = -28376.005
Iteration 79: (EM) log likelihood = -28372.595
Iteration 80: (EM) log likelihood = -28367.793
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.3421
Iteration 1: (class) log likelihood = -7370.3421
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29790.007
Iteration 1: (outcome) log likelihood = -29264.687
Iteration 2: (outcome) log likelihood = -29128.741
Iteration 3: (outcome) log likelihood = -29109.659
Iteration 4: (outcome) log likelihood = -29105.84
Iteration 5: (outcome) log likelihood = -29105.01
Iteration 6: (outcome) log likelihood = -29104.825
Iteration 7: (outcome) log likelihood = -29104.779
Iteration 8: (outcome) log likelihood = -29104.77
Iteration 9: (outcome) log likelihood = -29104.768
Iteration 10: (outcome) log likelihood = -29104.768
Iteration 11: (outcome) log likelihood = -29104.767
Iteration 12: (outcome) log likelihood = -29104.767
Refining starting values:
Iteration 0: (EM) log likelihood = -36417.875
Iteration 1: (EM) log likelihood = -36185.855
Iteration 2: (EM) log likelihood = -35468.07
Iteration 3: (EM) log likelihood = -34302.548
Iteration 4: (EM) log likelihood = -33368.126
Iteration 5: (EM) log likelihood = -32779.554
Iteration 6: (EM) log likelihood = -32376.327
Iteration 7: (EM) log likelihood = -32052.18
Iteration 8: (EM) log likelihood = -31756.633
Iteration 9: (EM) log likelihood = -31478.392
Iteration 10: (EM) log likelihood = -31226.692
Iteration 11: (EM) log likelihood = -31003.762
Iteration 12: (EM) log likelihood = -30803.074
Iteration 13: (EM) log likelihood = -30613.547
Iteration 14: (EM) log likelihood = -30435.836
Iteration 15: (EM) log likelihood = -30271.89
Iteration 16: (EM) log likelihood = -30129.014
Iteration 17: (EM) log likelihood = -30003.783
Iteration 18: (EM) log likelihood = -29886.448
Iteration 19: (EM) log likelihood = -29788.26
Iteration 20: (EM) log likelihood = -29704.838
Iteration 21: (EM) log likelihood = -29633.084
Iteration 22: (EM) log likelihood = -29572.258
Iteration 23: (EM) log likelihood = -29521.119
Iteration 24: (EM) log likelihood = -29476.189
Iteration 25: (EM) log likelihood = -29437.484
Iteration 26: (EM) log likelihood = -29403.95
Iteration 27: (EM) log likelihood = -29372.759
Iteration 28: (EM) log likelihood = -29344.977
Iteration 29: (EM) log likelihood = -29317.615
Iteration 30: (EM) log likelihood = -29291.647
Iteration 31: (EM) log likelihood = -29265.545
Iteration 32: (EM) log likelihood = -29239.209
Iteration 33: (EM) log likelihood = -29212.13
Iteration 34: (EM) log likelihood = -29185.176
Iteration 35: (EM) log likelihood = -29156.551
Iteration 36: (EM) log likelihood = -29126.167
Iteration 37: (EM) log likelihood = -29095.778
Iteration 38: (EM) log likelihood = -29063.879
Iteration 39: (EM) log likelihood = -29030.556
Iteration 40: (EM) log likelihood = -28997.484
Iteration 41: (EM) log likelihood = -28964.002
Iteration 42: (EM) log likelihood = -28929.714
Iteration 43: (EM) log likelihood = -28895.336
Iteration 44: (EM) log likelihood = -28859.803
Iteration 45: (EM) log likelihood = -28823.214
Iteration 46: (EM) log likelihood = -28786.786
Iteration 47: (EM) log likelihood = -28751.25
Iteration 48: (EM) log likelihood = -28716.948
Iteration 49: (EM) log likelihood = -28685.36
Iteration 50: (EM) log likelihood = -28659.211
Iteration 51: (EM) log likelihood = -28638.55
Iteration 52: (EM) log likelihood = -28622.519
Iteration 53: (EM) log likelihood = -28609.578
Iteration 54: (EM) log likelihood = -28598.457
Iteration 55: (EM) log likelihood = -28589.14
Iteration 56: (EM) log likelihood = -28580.829
Iteration 57: (EM) log likelihood = -28573.557
Iteration 58: (EM) log likelihood = -28567.128
Iteration 59: (EM) log likelihood = -28562.342
Iteration 60: (EM) log likelihood = -28557.071
Iteration 61: (EM) log likelihood = -28552.406
Iteration 62: (EM) log likelihood = -28548.624
Iteration 63: (EM) log likelihood = -28544.677
Iteration 64: (EM) log likelihood = -28541.364
Iteration 65: (EM) log likelihood = -28538.238
Iteration 66: (EM) log likelihood = -28535.435
Iteration 67: (EM) log likelihood = -28532.629
Iteration 68: (EM) log likelihood = -28530.192
Iteration 69: (EM) log likelihood = -28528.154
Iteration 70: (EM) log likelihood = -28525.994
Iteration 71: (EM) log likelihood = -28523.706
Iteration 72: (EM) log likelihood = -28521.811
Iteration 73: (EM) log likelihood = -28519.286
Iteration 74: (EM) log likelihood = -28517.631
Iteration 75: (EM) log likelihood = -28515.876
Iteration 76: (EM) log likelihood = -28514.378
Iteration 77: (EM) log likelihood = -28511.721
Iteration 78: (EM) log likelihood = -28508.477
Iteration 79: (EM) log likelihood = -28504.801
Iteration 80: (EM) log likelihood = -28501.325
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7368.1802
Iteration 1: (class) log likelihood = -7368.1802
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30089.487
Iteration 1: (outcome) log likelihood = -29272.939
Iteration 2: (outcome) log likelihood = -29142.106
Iteration 3: (outcome) log likelihood = -29113.55
Iteration 4: (outcome) log likelihood = -29106.738
Iteration 5: (outcome) log likelihood = -29105.411
Iteration 6: (outcome) log likelihood = -29105.179
Iteration 7: (outcome) log likelihood = -29105.127
Iteration 8: (outcome) log likelihood = -29105.114
Iteration 9: (outcome) log likelihood = -29105.111
Iteration 10: (outcome) log likelihood = -29105.111
Iteration 11: (outcome) log likelihood = -29105.111
Iteration 12: (outcome) log likelihood = -29105.111
Refining starting values:
Iteration 0: (EM) log likelihood = -36472.076
Iteration 1: (EM) log likelihood = -36448.221
Iteration 2: (EM) log likelihood = -36363.692
Iteration 3: (EM) log likelihood = -36064.74
Iteration 4: (EM) log likelihood = -35213.064
Iteration 5: (EM) log likelihood = -33987.277
Iteration 6: (EM) log likelihood = -33066.717
Iteration 7: (EM) log likelihood = -32468.496
Iteration 8: (EM) log likelihood = -32048.931
Iteration 9: (EM) log likelihood = -31708.253
Iteration 10: (EM) log likelihood = -31393.168
Iteration 11: (EM) log likelihood = -31089.863
Iteration 12: (EM) log likelihood = -30815.826
Iteration 13: (EM) log likelihood = -30582.908
Iteration 14: (EM) log likelihood = -30393.54
Iteration 15: (EM) log likelihood = -30239.887
Iteration 16: (EM) log likelihood = -30115.458
Iteration 17: (EM) log likelihood = -30012.401
Iteration 18: (EM) log likelihood = -29925.942
Iteration 19: (EM) log likelihood = -29854.624
Iteration 20: (EM) log likelihood = -29792.986
Iteration 21: (EM) log likelihood = -29737.181
Iteration 22: (EM) log likelihood = -29684.876
Iteration 23: (EM) log likelihood = -29633.721
Iteration 24: (EM) log likelihood = -29584.199
Iteration 25: (EM) log likelihood = -29532.416
Iteration 26: (EM) log likelihood = -29477.761
Iteration 27: (EM) log likelihood = -29419.685
Iteration 28: (EM) log likelihood = -29360.196
Iteration 29: (EM) log likelihood = -29299.542
Iteration 30: (EM) log likelihood = -29239.098
Iteration 31: (EM) log likelihood = -29179.534
Iteration 32: (EM) log likelihood = -29123.492
Iteration 33: (EM) log likelihood = -29069.748
Iteration 34: (EM) log likelihood = -29019.99
Iteration 35: (EM) log likelihood = -28973.901
Iteration 36: (EM) log likelihood = -28932.938
Iteration 37: (EM) log likelihood = -28892.945
Iteration 38: (EM) log likelihood = -28858.029
Iteration 39: (EM) log likelihood = -28827.326
Iteration 40: (EM) log likelihood = -28798.343
Iteration 41: (EM) log likelihood = -28771.883
Iteration 42: (EM) log likelihood = -28748.294
Iteration 43: (EM) log likelihood = -28727.733
Iteration 44: (EM) log likelihood = -28709.239
Iteration 45: (EM) log likelihood = -28693.51
Iteration 46: (EM) log likelihood = -28678.11
Iteration 47: (EM) log likelihood = -28663.031
Iteration 48: (EM) log likelihood = -28650.103
Iteration 49: (EM) log likelihood = -28638.527
Iteration 50: (EM) log likelihood = -28624.633
Iteration 51: (EM) log likelihood = -28613.896
Iteration 52: (EM) log likelihood = -28605.242
Iteration 53: (EM) log likelihood = -28597.236
Iteration 54: (EM) log likelihood = -28589.446
Iteration 55: (EM) log likelihood = -28580.24
Iteration 56: (EM) log likelihood = -28577.408
Iteration 57: (EM) log likelihood = -28568.067
Iteration 58: (EM) log likelihood = -28566.579
Iteration 59: (EM) log likelihood = -28559.869
Iteration 60: (EM) log likelihood = -28551.901
Iteration 61: (EM) log likelihood = -28542.915
Iteration 62: (EM) log likelihood = -28536.332
Iteration 63: (EM) log likelihood = -28528.221
Iteration 64: (EM) log likelihood = -28519.979
Iteration 65: (EM) log likelihood = -28513.104
Iteration 66: (EM) log likelihood = -28506.63
Iteration 67: (EM) log likelihood = -28500.466
Iteration 68: (EM) log likelihood = -28494.648
Iteration 69: (EM) log likelihood = -28489.466
Iteration 70: (EM) log likelihood = -28483.864
Iteration 71: (EM) log likelihood = -28478.845
Iteration 72: (EM) log likelihood = -28474.163
Iteration 73: (EM) log likelihood = -28469.204
Iteration 74: (EM) log likelihood = -28465.033
Iteration 75: (EM) log likelihood = -28460.277
Iteration 76: (EM) log likelihood = -28454.04
Iteration 77: (EM) log likelihood = -28452.035
Iteration 78: (EM) log likelihood = -28446.868
Iteration 79: (EM) log likelihood = -28443.367
Iteration 80: (EM) log likelihood = -28439.125
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.7994
Iteration 1: (class) log likelihood = -7371.7994
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29767.583
Iteration 1: (outcome) log likelihood = -29255.855
Iteration 2: (outcome) log likelihood = -29126.3
Iteration 3: (outcome) log likelihood = -29105.728
Iteration 4: (outcome) log likelihood = -29102.238
Iteration 5: (outcome) log likelihood = -29101.406
Iteration 6: (outcome) log likelihood = -29101.214
Iteration 7: (outcome) log likelihood = -29101.172
Iteration 8: (outcome) log likelihood = -29101.164
Iteration 9: (outcome) log likelihood = -29101.162
Iteration 10: (outcome) log likelihood = -29101.161
Iteration 11: (outcome) log likelihood = -29101.161
Iteration 12: (outcome) log likelihood = -29101.161
Refining starting values:
Iteration 0: (EM) log likelihood = -36442.594
Iteration 1: (EM) log likelihood = -36331.462
Iteration 2: (EM) log likelihood = -35982.646
Iteration 3: (EM) log likelihood = -35136.287
Iteration 4: (EM) log likelihood = -33956.104
Iteration 5: (EM) log likelihood = -32998.809
Iteration 6: (EM) log likelihood = -32313.987
Iteration 7: (EM) log likelihood = -31752.514
Iteration 8: (EM) log likelihood = -31224.758
Iteration 9: (EM) log likelihood = -30757.646
Iteration 10: (EM) log likelihood = -30398.437
Iteration 11: (EM) log likelihood = -30146.882
Iteration 12: (EM) log likelihood = -29975.806
Iteration 13: (EM) log likelihood = -29848.452
Iteration 14: (EM) log likelihood = -29744.437
Iteration 15: (EM) log likelihood = -29648.601
Iteration 16: (EM) log likelihood = -29558.239
Iteration 17: (EM) log likelihood = -29476.88
Iteration 18: (EM) log likelihood = -29397.731
Iteration 19: (EM) log likelihood = -29322.48
Iteration 20: (EM) log likelihood = -29251.996
Iteration 21: (EM) log likelihood = -29186.583
Iteration 22: (EM) log likelihood = -29124.476
Iteration 23: (EM) log likelihood = -29069.543
Iteration 24: (EM) log likelihood = -29019.427
Iteration 25: (EM) log likelihood = -28973.223
Iteration 26: (EM) log likelihood = -28933.156
Iteration 27: (EM) log likelihood = -28895.568
Iteration 28: (EM) log likelihood = -28863.163
Iteration 29: (EM) log likelihood = -28835.225
Iteration 30: (EM) log likelihood = -28811.168
Iteration 31: (EM) log likelihood = -28789.516
Iteration 32: (EM) log likelihood = -28771.751
Iteration 33: (EM) log likelihood = -28754.394
Iteration 34: (EM) log likelihood = -28739.764
Iteration 35: (EM) log likelihood = -28726.765
Iteration 36: (EM) log likelihood = -28714.422
Iteration 37: (EM) log likelihood = -28705.837
Iteration 38: (EM) log likelihood = -28696.069
Iteration 39: (EM) log likelihood = -28687.985
Iteration 40: (EM) log likelihood = -28680.253
Iteration 41: (EM) log likelihood = -28672.839
Iteration 42: (EM) log likelihood = -28665.777
Iteration 43: (EM) log likelihood = -28658.47
Iteration 44: (EM) log likelihood = -28649.979
Iteration 45: (EM) log likelihood = -28642.804
Iteration 46: (EM) log likelihood = -28634.382
Iteration 47: (EM) log likelihood = -28627.829
Iteration 48: (EM) log likelihood = -28621.471
Iteration 49: (EM) log likelihood = -28612.052
Iteration 50: (EM) log likelihood = -28605.042
Iteration 51: (EM) log likelihood = -28596.824
Iteration 52: (EM) log likelihood = -28588.849
Iteration 53: (EM) log likelihood = -28582.49
Iteration 54: (EM) log likelihood = -28576.01
Iteration 55: (EM) log likelihood = -28569.304
Iteration 56: (EM) log likelihood = -28563.419
Iteration 57: (EM) log likelihood = -28557.949
Iteration 58: (EM) log likelihood = -28551.4
Iteration 59: (EM) log likelihood = -28545.282
Iteration 60: (EM) log likelihood = -28539.295
Iteration 61: (EM) log likelihood = -28534.812
Iteration 62: (EM) log likelihood = -28530.976
Iteration 63: (EM) log likelihood = -28527.783
Iteration 64: (EM) log likelihood = -28523.614
Iteration 65: (EM) log likelihood = -28518.847
Iteration 66: (EM) log likelihood = -28515.512
Iteration 67: (EM) log likelihood = -28506.5
Iteration 68: (EM) log likelihood = -28503.245
Iteration 69: (EM) log likelihood = -28498.517
Iteration 70: (EM) log likelihood = -28494.522
Iteration 71: (EM) log likelihood = -28489.198
Iteration 72: (EM) log likelihood = -28484.722
Iteration 73: (EM) log likelihood = -28481.694
Iteration 74: (EM) log likelihood = -28478.718
Iteration 75: (EM) log likelihood = -28475.455
Iteration 76: (EM) log likelihood = -28472.154
Iteration 77: (EM) log likelihood = -28468.885
Iteration 78: (EM) log likelihood = -28466.258
Iteration 79: (EM) log likelihood = -28463.303
Iteration 80: (EM) log likelihood = -28460.16
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7368.8394
Iteration 1: (class) log likelihood = -7368.8394 (backed up)
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29639.033
Iteration 1: (outcome) log likelihood = -29195.849
Iteration 2: (outcome) log likelihood = -29120.35
Iteration 3: (outcome) log likelihood = -29104.377
Iteration 4: (outcome) log likelihood = -29100.944
Iteration 5: (outcome) log likelihood = -29100.196
Iteration 6: (outcome) log likelihood = -29100.074
Iteration 7: (outcome) log likelihood = -29100.045
Iteration 8: (outcome) log likelihood = -29100.038
Iteration 9: (outcome) log likelihood = -29100.037
Iteration 10: (outcome) log likelihood = -29100.037
Iteration 11: (outcome) log likelihood = -29100.037
Iteration 12: (outcome) log likelihood = -29100.036
Refining starting values:
Iteration 0: (EM) log likelihood = -36427.995
Iteration 1: (EM) log likelihood = -36266.822
Iteration 2: (EM) log likelihood = -35821.942
Iteration 3: (EM) log likelihood = -35017.895
Iteration 4: (EM) log likelihood = -34055.165
Iteration 5: (EM) log likelihood = -33192.741
Iteration 6: (EM) log likelihood = -32505.843
Iteration 7: (EM) log likelihood = -31949.526
Iteration 8: (EM) log likelihood = -31502.577
Iteration 9: (EM) log likelihood = -31153.597
Iteration 10: (EM) log likelihood = -30874.766
Iteration 11: (EM) log likelihood = -30669.127
Iteration 12: (EM) log likelihood = -30513.681
Iteration 13: (EM) log likelihood = -30392.4
Iteration 14: (EM) log likelihood = -30290.536
Iteration 15: (EM) log likelihood = -30198.785
Iteration 16: (EM) log likelihood = -30111.174
Iteration 17: (EM) log likelihood = -30029.245
Iteration 18: (EM) log likelihood = -29948.981
Iteration 19: (EM) log likelihood = -29869.243
Iteration 20: (EM) log likelihood = -29794.96
Iteration 21: (EM) log likelihood = -29723.186
Iteration 22: (EM) log likelihood = -29655.695
Iteration 23: (EM) log likelihood = -29591.026
Iteration 24: (EM) log likelihood = -29532.251
Iteration 25: (EM) log likelihood = -29478.372
Iteration 26: (EM) log likelihood = -29430.496
Iteration 27: (EM) log likelihood = -29387.223
Iteration 28: (EM) log likelihood = -29350.376
Iteration 29: (EM) log likelihood = -29318.598
Iteration 30: (EM) log likelihood = -29290.974
Iteration 31: (EM) log likelihood = -29266.704
Iteration 32: (EM) log likelihood = -29244.789
Iteration 33: (EM) log likelihood = -29223.726
Iteration 34: (EM) log likelihood = -29205.061
Iteration 35: (EM) log likelihood = -29186.418
Iteration 36: (EM) log likelihood = -29167.972
Iteration 37: (EM) log likelihood = -29150.119
Iteration 38: (EM) log likelihood = -29132.546
Iteration 39: (EM) log likelihood = -29112.934
Iteration 40: (EM) log likelihood = -29094.389
Iteration 41: (EM) log likelihood = -29076.608
Iteration 42: (EM) log likelihood = -29058.251
Iteration 43: (EM) log likelihood = -29040.954
Iteration 44: (EM) log likelihood = -29024.071
Iteration 45: (EM) log likelihood = -29007.599
Iteration 46: (EM) log likelihood = -28992.744
Iteration 47: (EM) log likelihood = -28977.374
Iteration 48: (EM) log likelihood = -28962.385
Iteration 49: (EM) log likelihood = -28947.266
Iteration 50: (EM) log likelihood = -28931.764
Iteration 51: (EM) log likelihood = -28916.008
Iteration 52: (EM) log likelihood = -28897.994
Iteration 53: (EM) log likelihood = -28879.278
Iteration 54: (EM) log likelihood = -28860.011
Iteration 55: (EM) log likelihood = -28838.637
Iteration 56: (EM) log likelihood = -28815.117
Iteration 57: (EM) log likelihood = -28788.835
Iteration 58: (EM) log likelihood = -28761.493
Iteration 59: (EM) log likelihood = -28730.387
Iteration 60: (EM) log likelihood = -28699.038
Iteration 61: (EM) log likelihood = -28668.704
Iteration 62: (EM) log likelihood = -28643.608
Iteration 63: (EM) log likelihood = -28623.159
Iteration 64: (EM) log likelihood = -28605.85
Iteration 65: (EM) log likelihood = -28592.484
Iteration 66: (EM) log likelihood = -28582.349
Iteration 67: (EM) log likelihood = -28574.922
Iteration 68: (EM) log likelihood = -28568.962
Iteration 69: (EM) log likelihood = -28563.657
Iteration 70: (EM) log likelihood = -28560.288
Iteration 71: (EM) log likelihood = -28558.923
Iteration 72: (EM) log likelihood = -28556.788
Iteration 73: (EM) log likelihood = -28553.828
Iteration 74: (EM) log likelihood = -28550.955
Iteration 75: (EM) log likelihood = -28548.691
Iteration 76: (EM) log likelihood = -28546.589
Iteration 77: (EM) log likelihood = -28544.079
Iteration 78: (EM) log likelihood = -28542.036
Iteration 79: (EM) log likelihood = -28539.874
Iteration 80: (EM) log likelihood = -28540.82
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.0391
Iteration 1: (class) log likelihood = -7371.0391
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29912.485
Iteration 1: (outcome) log likelihood = -29254.609
Iteration 2: (outcome) log likelihood = -29130.802
Iteration 3: (outcome) log likelihood = -29105.692
Iteration 4: (outcome) log likelihood = -29101.247
Iteration 5: (outcome) log likelihood = -29100.24
Iteration 6: (outcome) log likelihood = -29100.001
Iteration 7: (outcome) log likelihood = -29099.949
Iteration 8: (outcome) log likelihood = -29099.938
Iteration 9: (outcome) log likelihood = -29099.936
Iteration 10: (outcome) log likelihood = -29099.935
Iteration 11: (outcome) log likelihood = -29099.935
Iteration 12: (outcome) log likelihood = -29099.935
Refining starting values:
Iteration 0: (EM) log likelihood = -36427.644
Iteration 1: (EM) log likelihood = -36283.046
Iteration 2: (EM) log likelihood = -35932.951
Iteration 3: (EM) log likelihood = -35350.182
Iteration 4: (EM) log likelihood = -34559.041
Iteration 5: (EM) log likelihood = -33572.281
Iteration 6: (EM) log likelihood = -32543.602
Iteration 7: (EM) log likelihood = -31680.064
Iteration 8: (EM) log likelihood = -31050.176
Iteration 9: (EM) log likelihood = -30591.605
Iteration 10: (EM) log likelihood = -30263.883
Iteration 11: (EM) log likelihood = -30050.571
Iteration 12: (EM) log likelihood = -29914.857
Iteration 13: (EM) log likelihood = -29821.865
Iteration 14: (EM) log likelihood = -29753.52
Iteration 15: (EM) log likelihood = -29697.337
Iteration 16: (EM) log likelihood = -29648.807
Iteration 17: (EM) log likelihood = -29604.981
Iteration 18: (EM) log likelihood = -29565.5
Iteration 19: (EM) log likelihood = -29528.823
Iteration 20: (EM) log likelihood = -29496.468
Iteration 21: (EM) log likelihood = -29468.096
Iteration 22: (EM) log likelihood = -29442.575
Iteration 23: (EM) log likelihood = -29419.639
Iteration 24: (EM) log likelihood = -29400.475
Iteration 25: (EM) log likelihood = -29381.545
Iteration 26: (EM) log likelihood = -29363.756
Iteration 27: (EM) log likelihood = -29347.893
Iteration 28: (EM) log likelihood = -29333.22
Iteration 29: (EM) log likelihood = -29319.686
Iteration 30: (EM) log likelihood = -29306.481
Iteration 31: (EM) log likelihood = -29293.901
Iteration 32: (EM) log likelihood = -29281.236
Iteration 33: (EM) log likelihood = -29268.581
Iteration 34: (EM) log likelihood = -29256.734
Iteration 35: (EM) log likelihood = -29244.777
Iteration 36: (EM) log likelihood = -29233.216
Iteration 37: (EM) log likelihood = -29221.408
Iteration 38: (EM) log likelihood = -29209.324
Iteration 39: (EM) log likelihood = -29197.557
Iteration 40: (EM) log likelihood = -29184.718
Iteration 41: (EM) log likelihood = -29172.574
Iteration 42: (EM) log likelihood = -29159.979
Iteration 43: (EM) log likelihood = -29147.211
Iteration 44: (EM) log likelihood = -29133.958
Iteration 45: (EM) log likelihood = -29120.249
Iteration 46: (EM) log likelihood = -29106.006
Iteration 47: (EM) log likelihood = -29091.445
Iteration 48: (EM) log likelihood = -29076.501
Iteration 49: (EM) log likelihood = -29061.728
Iteration 50: (EM) log likelihood = -29045.792
Iteration 51: (EM) log likelihood = -29031.107
Iteration 52: (EM) log likelihood = -29014.437
Iteration 53: (EM) log likelihood = -28997.489
Iteration 54: (EM) log likelihood = -28979.644
Iteration 55: (EM) log likelihood = -28962.211
Iteration 56: (EM) log likelihood = -28945.341
Iteration 57: (EM) log likelihood = -28927.166
Iteration 58: (EM) log likelihood = -28910.019
Iteration 59: (EM) log likelihood = -28893.214
Iteration 60: (EM) log likelihood = -28878.274
Iteration 61: (EM) log likelihood = -28863.068
Iteration 62: (EM) log likelihood = -28848.704
Iteration 63: (EM) log likelihood = -28835.239
Iteration 64: (EM) log likelihood = -28822.741
Iteration 65: (EM) log likelihood = -28811.978
Iteration 66: (EM) log likelihood = -28801.495
Iteration 67: (EM) log likelihood = -28792.193
Iteration 68: (EM) log likelihood = -28783.95
Iteration 69: (EM) log likelihood = -28777.498
Iteration 70: (EM) log likelihood = -28771.47
Iteration 71: (EM) log likelihood = -28766.344
Iteration 72: (EM) log likelihood = -28761.686
Iteration 73: (EM) log likelihood = -28757.376
Iteration 74: (EM) log likelihood = -28752.453
Iteration 75: (EM) log likelihood = -28748.73
Iteration 76: (EM) log likelihood = -28745.353
Iteration 77: (EM) log likelihood = -28743.592
Iteration 78: (EM) log likelihood = -28740.423
Iteration 79: (EM) log likelihood = -28737.703
Iteration 80: (EM) log likelihood = -28734.697
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7367.9527
Iteration 1: (class) log likelihood = -7367.9527
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29576.397
Iteration 1: (outcome) log likelihood = -29199.649
Iteration 2: (outcome) log likelihood = -29115.389
Iteration 3: (outcome) log likelihood = -29101.813
Iteration 4: (outcome) log likelihood = -29098.586
Iteration 5: (outcome) log likelihood = -29097.905
Iteration 6: (outcome) log likelihood = -29097.763
Iteration 7: (outcome) log likelihood = -29097.731
Iteration 8: (outcome) log likelihood = -29097.723
Iteration 9: (outcome) log likelihood = -29097.721
Iteration 10: (outcome) log likelihood = -29097.721
Iteration 11: (outcome) log likelihood = -29097.721
Iteration 12: (outcome) log likelihood = -29097.721
Refining starting values:
Iteration 0: (EM) log likelihood = -36412.284
Iteration 1: (EM) log likelihood = -36199.096
Iteration 2: (EM) log likelihood = -35585.855
Iteration 3: (EM) log likelihood = -34534.763
Iteration 4: (EM) log likelihood = -33524.211
Iteration 5: (EM) log likelihood = -32798.441
Iteration 6: (EM) log likelihood = -32272.874
Iteration 7: (EM) log likelihood = -31842.656
Iteration 8: (EM) log likelihood = -31465.106
Iteration 9: (EM) log likelihood = -31137.985
Iteration 10: (EM) log likelihood = -30861.711
Iteration 11: (EM) log likelihood = -30630.028
Iteration 12: (EM) log likelihood = -30435.878
Iteration 13: (EM) log likelihood = -30276.24
Iteration 14: (EM) log likelihood = -30142.724
Iteration 15: (EM) log likelihood = -30028.099
Iteration 16: (EM) log likelihood = -29929.185
Iteration 17: (EM) log likelihood = -29839.074
Iteration 18: (EM) log likelihood = -29759.108
Iteration 19: (EM) log likelihood = -29684.77
Iteration 20: (EM) log likelihood = -29615.623
Iteration 21: (EM) log likelihood = -29552.049
Iteration 22: (EM) log likelihood = -29494.887
Iteration 23: (EM) log likelihood = -29442.088
Iteration 24: (EM) log likelihood = -29396.051
Iteration 25: (EM) log likelihood = -29351.983
Iteration 26: (EM) log likelihood = -29313.941
Iteration 27: (EM) log likelihood = -29278.924
Iteration 28: (EM) log likelihood = -29248.512
Iteration 29: (EM) log likelihood = -29222.785
Iteration 30: (EM) log likelihood = -29199.041
Iteration 31: (EM) log likelihood = -29178.471
Iteration 32: (EM) log likelihood = -29161.334
Iteration 33: (EM) log likelihood = -29146.107
Iteration 34: (EM) log likelihood = -29132.612
Iteration 35: (EM) log likelihood = -29120.608
Iteration 36: (EM) log likelihood = -29109.478
Iteration 37: (EM) log likelihood = -29100.077
Iteration 38: (EM) log likelihood = -29090.606
Iteration 39: (EM) log likelihood = -29082.631
Iteration 40: (EM) log likelihood = -29074.197
Iteration 41: (EM) log likelihood = -29066.203
Iteration 42: (EM) log likelihood = -29058.258
Iteration 43: (EM) log likelihood = -29051.038
Iteration 44: (EM) log likelihood = -29044.351
Iteration 45: (EM) log likelihood = -29037.262
Iteration 46: (EM) log likelihood = -29030.542
Iteration 47: (EM) log likelihood = -29023.126
Iteration 48: (EM) log likelihood = -29016.681
Iteration 49: (EM) log likelihood = -29010.946
Iteration 50: (EM) log likelihood = -29004.494
Iteration 51: (EM) log likelihood = -28998.511
Iteration 52: (EM) log likelihood = -28992.523
Iteration 53: (EM) log likelihood = -28985.827
Iteration 54: (EM) log likelihood = -28976.977
Iteration 55: (EM) log likelihood = -28970.96
Iteration 56: (EM) log likelihood = -28962.919
Iteration 57: (EM) log likelihood = -28959.092
Iteration 58: (EM) log likelihood = -28952.275
Iteration 59: (EM) log likelihood = -28945.737
Iteration 60: (EM) log likelihood = -28939.454
Iteration 61: (EM) log likelihood = -28933.333
Iteration 62: (EM) log likelihood = -28927.042
Iteration 63: (EM) log likelihood = -28921.163
Iteration 64: (EM) log likelihood = -28915.544
Iteration 65: (EM) log likelihood = -28910.626
Iteration 66: (EM) log likelihood = -28905.592
Iteration 67: (EM) log likelihood = -28898.455
Iteration 68: (EM) log likelihood = -28891.184
Iteration 69: (EM) log likelihood = -28884.45
Iteration 70: (EM) log likelihood = -28877.848
Iteration 71: (EM) log likelihood = -28870.979
Iteration 72: (EM) log likelihood = -28864.878
Iteration 73: (EM) log likelihood = -28857.485
Iteration 74: (EM) log likelihood = -28851.416
Iteration 75: (EM) log likelihood = -28845.316
Iteration 76: (EM) log likelihood = -28838.656
Iteration 77: (EM) log likelihood = -28832.539
Iteration 78: (EM) log likelihood = -28826.401
Iteration 79: (EM) log likelihood = -28821.424
Iteration 80: (EM) log likelihood = -28814.871
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.4914
Iteration 1: (class) log likelihood = -7370.4914
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29624.737
Iteration 1: (outcome) log likelihood = -29224.92
Iteration 2: (outcome) log likelihood = -29130.108
Iteration 3: (outcome) log likelihood = -29111.228
Iteration 4: (outcome) log likelihood = -29107.616
Iteration 5: (outcome) log likelihood = -29106.84
Iteration 6: (outcome) log likelihood = -29106.657
Iteration 7: (outcome) log likelihood = -29106.616
Iteration 8: (outcome) log likelihood = -29106.607
Iteration 9: (outcome) log likelihood = -29106.605
Iteration 10: (outcome) log likelihood = -29106.605
Iteration 11: (outcome) log likelihood = -29106.605
Iteration 12: (outcome) log likelihood = -29106.605
Refining starting values:
Iteration 0: (EM) log likelihood = -36424.426
Iteration 1: (EM) log likelihood = -36243.881
Iteration 2: (EM) log likelihood = -35746.49
Iteration 3: (EM) log likelihood = -34903.356
Iteration 4: (EM) log likelihood = -34044.477
Iteration 5: (EM) log likelihood = -33318.097
Iteration 6: (EM) log likelihood = -32667.884
Iteration 7: (EM) log likelihood = -32060.296
Iteration 8: (EM) log likelihood = -31526.3
Iteration 9: (EM) log likelihood = -31098.701
Iteration 10: (EM) log likelihood = -30772.804
Iteration 11: (EM) log likelihood = -30523.627
Iteration 12: (EM) log likelihood = -30331.425
Iteration 13: (EM) log likelihood = -30180.387
Iteration 14: (EM) log likelihood = -30058.6
Iteration 15: (EM) log likelihood = -29959.576
Iteration 16: (EM) log likelihood = -29878.329
Iteration 17: (EM) log likelihood = -29810.145
Iteration 18: (EM) log likelihood = -29754.246
Iteration 19: (EM) log likelihood = -29705.182
Iteration 20: (EM) log likelihood = -29663.886
Iteration 21: (EM) log likelihood = -29626.629
Iteration 22: (EM) log likelihood = -29591.885
Iteration 23: (EM) log likelihood = -29556.973
Iteration 24: (EM) log likelihood = -29526.973
Iteration 25: (EM) log likelihood = -29496.676
Iteration 26: (EM) log likelihood = -29466.359
Iteration 27: (EM) log likelihood = -29436.912
Iteration 28: (EM) log likelihood = -29407.317
Iteration 29: (EM) log likelihood = -29376.613
Iteration 30: (EM) log likelihood = -29344.076
Iteration 31: (EM) log likelihood = -29311.293
Iteration 32: (EM) log likelihood = -29275.235
Iteration 33: (EM) log likelihood = -29238.743
Iteration 34: (EM) log likelihood = -29199.313
Iteration 35: (EM) log likelihood = -29160.401
Iteration 36: (EM) log likelihood = -29117.518
Iteration 37: (EM) log likelihood = -29075.239
Iteration 38: (EM) log likelihood = -29031.268
Iteration 39: (EM) log likelihood = -28983.268
Iteration 40: (EM) log likelihood = -28934.669
Iteration 41: (EM) log likelihood = -28887.053
Iteration 42: (EM) log likelihood = -28841.824
Iteration 43: (EM) log likelihood = -28799.067
Iteration 44: (EM) log likelihood = -28759.403
Iteration 45: (EM) log likelihood = -28724.068
Iteration 46: (EM) log likelihood = -28693.032
Iteration 47: (EM) log likelihood = -28665.915
Iteration 48: (EM) log likelihood = -28643.054
Iteration 49: (EM) log likelihood = -28625.221
Iteration 50: (EM) log likelihood = -28610.167
Iteration 51: (EM) log likelihood = -28597.157
Iteration 52: (EM) log likelihood = -28586.095
Iteration 53: (EM) log likelihood = -28577.865
Iteration 54: (EM) log likelihood = -28571.249
Iteration 55: (EM) log likelihood = -28567.238
Iteration 56: (EM) log likelihood = -28563.061
Iteration 57: (EM) log likelihood = -28560.243
Iteration 58: (EM) log likelihood = -28557.539
Iteration 59: (EM) log likelihood = -28556.207
Iteration 60: (EM) log likelihood = -28555.489
Iteration 61: (EM) log likelihood = -28554.714
Iteration 62: (EM) log likelihood = -28553.538
Iteration 63: (EM) log likelihood = -28548.544
Iteration 64: (EM) log likelihood = -28546.808
Iteration 65: (EM) log likelihood = -28545.124
Iteration 66: (EM) log likelihood = -28543.172
Iteration 67: (EM) log likelihood = -28541.207
Iteration 68: (EM) log likelihood = -28537.107
Iteration 69: (EM) log likelihood = -28534.146
Iteration 70: (EM) log likelihood = -28528.61
Iteration 71: (EM) log likelihood = -28526.971
Iteration 72: (EM) log likelihood = -28524.78
Iteration 73: (EM) log likelihood = -28522.276
Iteration 74: (EM) log likelihood = -28519.635
Iteration 75: (EM) log likelihood = -28515.884
Iteration 76: (EM) log likelihood = -28509.337
Iteration 77: (EM) log likelihood = -28505.19
Iteration 78: (EM) log likelihood = -28503.655
Iteration 79: (EM) log likelihood = -28501.594
Iteration 80: (EM) log likelihood = -28498.515
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7368.4047
Iteration 1: (class) log likelihood = -7368.4047
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29783.94
Iteration 1: (outcome) log likelihood = -29222.449
Iteration 2: (outcome) log likelihood = -29121.819
Iteration 3: (outcome) log likelihood = -29098.286
Iteration 4: (outcome) log likelihood = -29094.122
Iteration 5: (outcome) log likelihood = -29093.173
Iteration 6: (outcome) log likelihood = -29092.949
Iteration 7: (outcome) log likelihood = -29092.9
Iteration 8: (outcome) log likelihood = -29092.89
Iteration 9: (outcome) log likelihood = -29092.888
Iteration 10: (outcome) log likelihood = -29092.887
Iteration 11: (outcome) log likelihood = -29092.887
Iteration 12: (outcome) log likelihood = -29092.887
Refining starting values:
Iteration 0: (EM) log likelihood = -36437.559
Iteration 1: (EM) log likelihood = -36356.89
Iteration 2: (EM) log likelihood = -36116.5
Iteration 3: (EM) log likelihood = -35483.444
Iteration 4: (EM) log likelihood = -34325.994
Iteration 5: (EM) log likelihood = -33129.053
Iteration 6: (EM) log likelihood = -32300.464
Iteration 7: (EM) log likelihood = -31790.147
Iteration 8: (EM) log likelihood = -31467.878
Iteration 9: (EM) log likelihood = -31241.503
Iteration 10: (EM) log likelihood = -31054.413
Iteration 11: (EM) log likelihood = -30883.702
Iteration 12: (EM) log likelihood = -30721.243
Iteration 13: (EM) log likelihood = -30564.357
Iteration 14: (EM) log likelihood = -30421.065
Iteration 15: (EM) log likelihood = -30288.47
Iteration 16: (EM) log likelihood = -30170.37
Iteration 17: (EM) log likelihood = -30066.418
Iteration 18: (EM) log likelihood = -29974.872
Iteration 19: (EM) log likelihood = -29892.075
Iteration 20: (EM) log likelihood = -29814.832
Iteration 21: (EM) log likelihood = -29739.281
Iteration 22: (EM) log likelihood = -29663.268
Iteration 23: (EM) log likelihood = -29587.878
Iteration 24: (EM) log likelihood = -29513.557
Iteration 25: (EM) log likelihood = -29441.391
Iteration 26: (EM) log likelihood = -29374.46
Iteration 27: (EM) log likelihood = -29308.38
Iteration 28: (EM) log likelihood = -29248.83
Iteration 29: (EM) log likelihood = -29192.024
Iteration 30: (EM) log likelihood = -29141.151
Iteration 31: (EM) log likelihood = -29092.349
Iteration 32: (EM) log likelihood = -29045.212
Iteration 33: (EM) log likelihood = -29000.941
Iteration 34: (EM) log likelihood = -28960.3
Iteration 35: (EM) log likelihood = -28922.033
Iteration 36: (EM) log likelihood = -28889.359
Iteration 37: (EM) log likelihood = -28860.046
Iteration 38: (EM) log likelihood = -28832.863
Iteration 39: (EM) log likelihood = -28808.547
Iteration 40: (EM) log likelihood = -28787.167
Iteration 41: (EM) log likelihood = -28767.488
Iteration 42: (EM) log likelihood = -28750.073
Iteration 43: (EM) log likelihood = -28733.956
Iteration 44: (EM) log likelihood = -28714.892
Iteration 45: (EM) log likelihood = -28700.491
Iteration 46: (EM) log likelihood = -28687.295
Iteration 47: (EM) log likelihood = -28673.433
Iteration 48: (EM) log likelihood = -28661.235
Iteration 49: (EM) log likelihood = -28649.856
Iteration 50: (EM) log likelihood = -28638.622
Iteration 51: (EM) log likelihood = -28627.791
Iteration 52: (EM) log likelihood = -28617.354
Iteration 53: (EM) log likelihood = -28607.154
Iteration 54: (EM) log likelihood = -28597.379
Iteration 55: (EM) log likelihood = -28587.541
Iteration 56: (EM) log likelihood = -28577.846
Iteration 57: (EM) log likelihood = -28568.319
Iteration 58: (EM) log likelihood = -28558.823
Iteration 59: (EM) log likelihood = -28549.069
Iteration 60: (EM) log likelihood = -28539.779
Iteration 61: (EM) log likelihood = -28530.079
Iteration 62: (EM) log likelihood = -28520.441
Iteration 63: (EM) log likelihood = -28510.874
Iteration 64: (EM) log likelihood = -28502.147
Iteration 65: (EM) log likelihood = -28492.977
Iteration 66: (EM) log likelihood = -28483.573
Iteration 67: (EM) log likelihood = -28474.318
Iteration 68: (EM) log likelihood = -28465.196
Iteration 69: (EM) log likelihood = -28456.913
Iteration 70: (EM) log likelihood = -28449.263
Iteration 71: (EM) log likelihood = -28442.834
Iteration 72: (EM) log likelihood = -28436.928
Iteration 73: (EM) log likelihood = -28431.753
Iteration 74: (EM) log likelihood = -28426.931
Iteration 75: (EM) log likelihood = -28422.452
Iteration 76: (EM) log likelihood = -28418.516
Iteration 77: (EM) log likelihood = -28415.255
Iteration 78: (EM) log likelihood = -28412.344
Iteration 79: (EM) log likelihood = -28409.719
Iteration 80: (EM) log likelihood = -28407.182
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.7015
Iteration 1: (class) log likelihood = -7370.7015
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29426.913
Iteration 1: (outcome) log likelihood = -29168.848
Iteration 2: (outcome) log likelihood = -29115.619
Iteration 3: (outcome) log likelihood = -29108.067
Iteration 4: (outcome) log likelihood = -29106.418
Iteration 5: (outcome) log likelihood = -29106.019
Iteration 6: (outcome) log likelihood = -29105.933
Iteration 7: (outcome) log likelihood = -29105.913
Iteration 8: (outcome) log likelihood = -29105.91
Iteration 9: (outcome) log likelihood = -29105.91
Iteration 10: (outcome) log likelihood = -29105.91
Iteration 11: (outcome) log likelihood = -29105.91
Refining starting values:
Iteration 0: (EM) log likelihood = -36422.743
Iteration 1: (EM) log likelihood = -36168.252
Iteration 2: (EM) log likelihood = -35308.166
Iteration 3: (EM) log likelihood = -34028.308
Iteration 4: (EM) log likelihood = -33165.78
Iteration 5: (EM) log likelihood = -32645.379
Iteration 6: (EM) log likelihood = -32235.959
Iteration 7: (EM) log likelihood = -31856.655
Iteration 8: (EM) log likelihood = -31500.723
Iteration 9: (EM) log likelihood = -31179.533
Iteration 10: (EM) log likelihood = -30891.38
Iteration 11: (EM) log likelihood = -30638.466
Iteration 12: (EM) log likelihood = -30417.9
Iteration 13: (EM) log likelihood = -30223.636
Iteration 14: (EM) log likelihood = -30049.883
Iteration 15: (EM) log likelihood = -29899.354
Iteration 16: (EM) log likelihood = -29767.096
Iteration 17: (EM) log likelihood = -29654.034
Iteration 18: (EM) log likelihood = -29559.432
Iteration 19: (EM) log likelihood = -29480.995
Iteration 20: (EM) log likelihood = -29416.676
Iteration 21: (EM) log likelihood = -29363.279
Iteration 22: (EM) log likelihood = -29317.095
Iteration 23: (EM) log likelihood = -29277.778
Iteration 24: (EM) log likelihood = -29243.371
Iteration 25: (EM) log likelihood = -29211.545
Iteration 26: (EM) log likelihood = -29182.84
Iteration 27: (EM) log likelihood = -29156.861
Iteration 28: (EM) log likelihood = -29133.15
Iteration 29: (EM) log likelihood = -29109.22
Iteration 30: (EM) log likelihood = -29087.445
Iteration 31: (EM) log likelihood = -29065.884
Iteration 32: (EM) log likelihood = -29045.13
Iteration 33: (EM) log likelihood = -29025.356
Iteration 34: (EM) log likelihood = -29007.88
Iteration 35: (EM) log likelihood = -28991.319
Iteration 36: (EM) log likelihood = -28975.712
Iteration 37: (EM) log likelihood = -28962.35
Iteration 38: (EM) log likelihood = -28949.952
Iteration 39: (EM) log likelihood = -28938.83
Iteration 40: (EM) log likelihood = -28927.842
Iteration 41: (EM) log likelihood = -28920.78
Iteration 42: (EM) log likelihood = -28911.135
Iteration 43: (EM) log likelihood = -28902.333
Iteration 44: (EM) log likelihood = -28895.473
Iteration 45: (EM) log likelihood = -28887.414
Iteration 46: (EM) log likelihood = -28880.563
Iteration 47: (EM) log likelihood = -28874.204
Iteration 48: (EM) log likelihood = -28867.675
Iteration 49: (EM) log likelihood = -28861.769
Iteration 50: (EM) log likelihood = -28853.303
Iteration 51: (EM) log likelihood = -28847.488
Iteration 52: (EM) log likelihood = -28839.79
Iteration 53: (EM) log likelihood = -28835.201
Iteration 54: (EM) log likelihood = -28831.502
Iteration 55: (EM) log likelihood = -28826.159
Iteration 56: (EM) log likelihood = -28820.445
Iteration 57: (EM) log likelihood = -28815.816
Iteration 58: (EM) log likelihood = -28810.813
Iteration 59: (EM) log likelihood = -28804.833
Iteration 60: (EM) log likelihood = -28800.422
Iteration 61: (EM) log likelihood = -28794.59
Iteration 62: (EM) log likelihood = -28788.85
Iteration 63: (EM) log likelihood = -28783.931
Iteration 64: (EM) log likelihood = -28778.498
Iteration 65: (EM) log likelihood = -28773.825
Iteration 66: (EM) log likelihood = -28768.219
Iteration 67: (EM) log likelihood = -28762.792
Iteration 68: (EM) log likelihood = -28756.326
Iteration 69: (EM) log likelihood = -28749.378
Iteration 70: (EM) log likelihood = -28742.45
Iteration 71: (EM) log likelihood = -28735.284
Iteration 72: (EM) log likelihood = -28727.894
Iteration 73: (EM) log likelihood = -28720.849
Iteration 74: (EM) log likelihood = -28713.255
Iteration 75: (EM) log likelihood = -28704.244
Iteration 76: (EM) log likelihood = -28695.927
Iteration 77: (EM) log likelihood = -28686.651
Iteration 78: (EM) log likelihood = -28679.472
Iteration 79: (EM) log likelihood = -28669.089
Iteration 80: (EM) log likelihood = -28657.898
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.372
Iteration 1: (class) log likelihood = -7370.372
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29763.323
Iteration 1: (outcome) log likelihood = -29243.966
Iteration 2: (outcome) log likelihood = -29141.652
Iteration 3: (outcome) log likelihood = -29122.02
Iteration 4: (outcome) log likelihood = -29117.396
Iteration 5: (outcome) log likelihood = -29116.471
Iteration 6: (outcome) log likelihood = -29116.317
Iteration 7: (outcome) log likelihood = -29116.281
Iteration 8: (outcome) log likelihood = -29116.273
Iteration 9: (outcome) log likelihood = -29116.271
Iteration 10: (outcome) log likelihood = -29116.271
Iteration 11: (outcome) log likelihood = -29116.271
Iteration 12: (outcome) log likelihood = -29116.271
Refining starting values:
Iteration 0: (EM) log likelihood = -36477.37
Iteration 1: (EM) log likelihood = -36449.113
Iteration 2: (EM) log likelihood = -36377.467
Iteration 3: (EM) log likelihood = -36197.44
Iteration 4: (EM) log likelihood = -35767.888
Iteration 5: (EM) log likelihood = -34877.609
Iteration 6: (EM) log likelihood = -33680.313
Iteration 7: (EM) log likelihood = -32722.171
Iteration 8: (EM) log likelihood = -32082.811
Iteration 9: (EM) log likelihood = -31625.237
Iteration 10: (EM) log likelihood = -31285.304
Iteration 11: (EM) log likelihood = -31036.088
Iteration 12: (EM) log likelihood = -30846.238
Iteration 13: (EM) log likelihood = -30696.798
Iteration 14: (EM) log likelihood = -30572.168
Iteration 15: (EM) log likelihood = -30465.052
Iteration 16: (EM) log likelihood = -30369.644
Iteration 17: (EM) log likelihood = -30283.31
Iteration 18: (EM) log likelihood = -30202.961
Iteration 19: (EM) log likelihood = -30130.52
Iteration 20: (EM) log likelihood = -30061.812
Iteration 21: (EM) log likelihood = -29996.422
Iteration 22: (EM) log likelihood = -29934.509
Iteration 23: (EM) log likelihood = -29872.504
Iteration 24: (EM) log likelihood = -29814.898
Iteration 25: (EM) log likelihood = -29764.047
Iteration 26: (EM) log likelihood = -29719.042
Iteration 27: (EM) log likelihood = -29680.058
Iteration 28: (EM) log likelihood = -29646.315
Iteration 29: (EM) log likelihood = -29616.899
Iteration 30: (EM) log likelihood = -29589.089
Iteration 31: (EM) log likelihood = -29563.64
Iteration 32: (EM) log likelihood = -29537.833
Iteration 33: (EM) log likelihood = -29512.12
Iteration 34: (EM) log likelihood = -29486.065
Iteration 35: (EM) log likelihood = -29458.74
Iteration 36: (EM) log likelihood = -29430.168
Iteration 37: (EM) log likelihood = -29399.329
Iteration 38: (EM) log likelihood = -29366.377
Iteration 39: (EM) log likelihood = -29329.446
Iteration 40: (EM) log likelihood = -29288.392
Iteration 41: (EM) log likelihood = -29243.547
Iteration 42: (EM) log likelihood = -29193.341
Iteration 43: (EM) log likelihood = -29139.629
Iteration 44: (EM) log likelihood = -29081.607
Iteration 45: (EM) log likelihood = -29023.102
Iteration 46: (EM) log likelihood = -28964.448
Iteration 47: (EM) log likelihood = -28908.125
Iteration 48: (EM) log likelihood = -28854.474
Iteration 49: (EM) log likelihood = -28802.243
Iteration 50: (EM) log likelihood = -28755.696
Iteration 51: (EM) log likelihood = -28711.978
Iteration 52: (EM) log likelihood = -28672.163
Iteration 53: (EM) log likelihood = -28635.435
Iteration 54: (EM) log likelihood = -28600.528
Iteration 55: (EM) log likelihood = -28567.757
Iteration 56: (EM) log likelihood = -28537.422
Iteration 57: (EM) log likelihood = -28510.259
Iteration 58: (EM) log likelihood = -28485.36
Iteration 59: (EM) log likelihood = -28464.079
Iteration 60: (EM) log likelihood = -28443.737
Iteration 61: (EM) log likelihood = -28424.208
Iteration 62: (EM) log likelihood = -28405.876
Iteration 63: (EM) log likelihood = -28389.666
Iteration 64: (EM) log likelihood = -28375.122
Iteration 65: (EM) log likelihood = -28363.723
Iteration 66: (EM) log likelihood = -28355.091
Iteration 67: (EM) log likelihood = -28347.545
Iteration 68: (EM) log likelihood = -28340.558
Iteration 69: (EM) log likelihood = -28334.072
Iteration 70: (EM) log likelihood = -28329.428
Iteration 71: (EM) log likelihood = -28326.309
Iteration 72: (EM) log likelihood = -28322.598
Iteration 73: (EM) log likelihood = -28318.273
Iteration 74: (EM) log likelihood = -28317.587
Iteration 75: (EM) log likelihood = -28312.459
Iteration 76: (EM) log likelihood = -28311.431
Iteration 77: (EM) log likelihood = -28310.193
Iteration 78: (EM) log likelihood = -28308.294
Iteration 79: (EM) log likelihood = -28306.796
Iteration 80: (EM) log likelihood = -28306.286
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.0529
Iteration 1: (class) log likelihood = -7371.0529
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29472.964
Iteration 1: (outcome) log likelihood = -29209.341
Iteration 2: (outcome) log likelihood = -29124.537
Iteration 3: (outcome) log likelihood = -29112.22
Iteration 4: (outcome) log likelihood = -29109.206
Iteration 5: (outcome) log likelihood = -29108.569
Iteration 6: (outcome) log likelihood = -29108.434
Iteration 7: (outcome) log likelihood = -29108.404
Iteration 8: (outcome) log likelihood = -29108.397
Iteration 9: (outcome) log likelihood = -29108.395
Iteration 10: (outcome) log likelihood = -29108.395
Iteration 11: (outcome) log likelihood = -29108.395
Iteration 12: (outcome) log likelihood = -29108.395
Refining starting values:
Iteration 0: (EM) log likelihood = -36472.571
Iteration 1: (EM) log likelihood = -36434.448
Iteration 2: (EM) log likelihood = -36305.586
Iteration 3: (EM) log likelihood = -35913.39
Iteration 4: (EM) log likelihood = -35056.404
Iteration 5: (EM) log likelihood = -33946.116
Iteration 6: (EM) log likelihood = -32998.139
Iteration 7: (EM) log likelihood = -32297.648
Iteration 8: (EM) log likelihood = -31776.786
Iteration 9: (EM) log likelihood = -31375.162
Iteration 10: (EM) log likelihood = -31036.918
Iteration 11: (EM) log likelihood = -30741.751
Iteration 12: (EM) log likelihood = -30493.283
Iteration 13: (EM) log likelihood = -30307.072
Iteration 14: (EM) log likelihood = -30177.389
Iteration 15: (EM) log likelihood = -30082.456
Iteration 16: (EM) log likelihood = -30013.707
Iteration 17: (EM) log likelihood = -29962.453
Iteration 18: (EM) log likelihood = -29920.247
Iteration 19: (EM) log likelihood = -29884.178
Iteration 20: (EM) log likelihood = -29852.839
Iteration 21: (EM) log likelihood = -29824.884
Iteration 22: (EM) log likelihood = -29798.658
Iteration 23: (EM) log likelihood = -29774.201
Iteration 24: (EM) log likelihood = -29749.934
Iteration 25: (EM) log likelihood = -29724.747
Iteration 26: (EM) log likelihood = -29700.697
Iteration 27: (EM) log likelihood = -29675.617
Iteration 28: (EM) log likelihood = -29650.343
Iteration 29: (EM) log likelihood = -29625.043
Iteration 30: (EM) log likelihood = -29600.207
Iteration 31: (EM) log likelihood = -29575.935
Iteration 32: (EM) log likelihood = -29552.834
Iteration 33: (EM) log likelihood = -29530.63
Iteration 34: (EM) log likelihood = -29509.489
Iteration 35: (EM) log likelihood = -29489.28
Iteration 36: (EM) log likelihood = -29468.829
Iteration 37: (EM) log likelihood = -29448.739
Iteration 38: (EM) log likelihood = -29426.705
Iteration 39: (EM) log likelihood = -29403.592
Iteration 40: (EM) log likelihood = -29379.434
Iteration 41: (EM) log likelihood = -29353.245
Iteration 42: (EM) log likelihood = -29325.583
Iteration 43: (EM) log likelihood = -29295.913
Iteration 44: (EM) log likelihood = -29264.209
Iteration 45: (EM) log likelihood = -29230.567
Iteration 46: (EM) log likelihood = -29195.269
Iteration 47: (EM) log likelihood = -29160.971
Iteration 48: (EM) log likelihood = -29125.432
Iteration 49: (EM) log likelihood = -29090.842
Iteration 50: (EM) log likelihood = -29056.68
Iteration 51: (EM) log likelihood = -29024.225
Iteration 52: (EM) log likelihood = -28994.375
Iteration 53: (EM) log likelihood = -28966.549
Iteration 54: (EM) log likelihood = -28941.173
Iteration 55: (EM) log likelihood = -28916.411
Iteration 56: (EM) log likelihood = -28893.539
Iteration 57: (EM) log likelihood = -28872.109
Iteration 58: (EM) log likelihood = -28851.792
Iteration 59: (EM) log likelihood = -28832.434
Iteration 60: (EM) log likelihood = -28814.513
Iteration 61: (EM) log likelihood = -28797.715
Iteration 62: (EM) log likelihood = -28781.888
Iteration 63: (EM) log likelihood = -28766.913
Iteration 64: (EM) log likelihood = -28752.075
Iteration 65: (EM) log likelihood = -28738.132
Iteration 66: (EM) log likelihood = -28726.19
Iteration 67: (EM) log likelihood = -28715.669
Iteration 68: (EM) log likelihood = -28705.573
Iteration 69: (EM) log likelihood = -28694.918
Iteration 70: (EM) log likelihood = -28684.803
Iteration 71: (EM) log likelihood = -28673.404
Iteration 72: (EM) log likelihood = -28661.779
Iteration 73: (EM) log likelihood = -28651.592
Iteration 74: (EM) log likelihood = -28642.235
Iteration 75: (EM) log likelihood = -28635.28
Iteration 76: (EM) log likelihood = -28628.05
Iteration 77: (EM) log likelihood = -28621.58
Iteration 78: (EM) log likelihood = -28615.895
Iteration 79: (EM) log likelihood = -28612.41
Iteration 80: (EM) log likelihood = -28608.135
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.0847
Iteration 1: (class) log likelihood = -7371.0847
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29559.762
Iteration 1: (outcome) log likelihood = -29199.105
Iteration 2: (outcome) log likelihood = -29116.457
Iteration 3: (outcome) log likelihood = -29102.549
Iteration 4: (outcome) log likelihood = -29100.177
Iteration 5: (outcome) log likelihood = -29099.637
Iteration 6: (outcome) log likelihood = -29099.504
Iteration 7: (outcome) log likelihood = -29099.477
Iteration 8: (outcome) log likelihood = -29099.471
Iteration 9: (outcome) log likelihood = -29099.47
Iteration 10: (outcome) log likelihood = -29099.47
Iteration 11: (outcome) log likelihood = -29099.47
Iteration 12: (outcome) log likelihood = -29099.47
Refining starting values:
Iteration 0: (EM) log likelihood = -36441.193
Iteration 1: (EM) log likelihood = -36337.172
Iteration 2: (EM) log likelihood = -36041.473
Iteration 3: (EM) log likelihood = -35423.735
Iteration 4: (EM) log likelihood = -34596.182
Iteration 5: (EM) log likelihood = -33827.262
Iteration 6: (EM) log likelihood = -33166.431
Iteration 7: (EM) log likelihood = -32570.59
Iteration 8: (EM) log likelihood = -32050.853
Iteration 9: (EM) log likelihood = -31619.188
Iteration 10: (EM) log likelihood = -31267.582
Iteration 11: (EM) log likelihood = -30969.04
Iteration 12: (EM) log likelihood = -30712.339
Iteration 13: (EM) log likelihood = -30498.356
Iteration 14: (EM) log likelihood = -30328.013
Iteration 15: (EM) log likelihood = -30189.293
Iteration 16: (EM) log likelihood = -30072.282
Iteration 17: (EM) log likelihood = -29976.101
Iteration 18: (EM) log likelihood = -29892.297
Iteration 19: (EM) log likelihood = -29819.24
Iteration 20: (EM) log likelihood = -29752.492
Iteration 21: (EM) log likelihood = -29691.101
Iteration 22: (EM) log likelihood = -29632.402
Iteration 23: (EM) log likelihood = -29573.326
Iteration 24: (EM) log likelihood = -29519.657
Iteration 25: (EM) log likelihood = -29470.674
Iteration 26: (EM) log likelihood = -29426.186
Iteration 27: (EM) log likelihood = -29386.138
Iteration 28: (EM) log likelihood = -29351.213
Iteration 29: (EM) log likelihood = -29322.79
Iteration 30: (EM) log likelihood = -29295.272
Iteration 31: (EM) log likelihood = -29270.434
Iteration 32: (EM) log likelihood = -29241.392
Iteration 33: (EM) log likelihood = -29212.762
Iteration 34: (EM) log likelihood = -29181.163
Iteration 35: (EM) log likelihood = -29151.036
Iteration 36: (EM) log likelihood = -29124.413
Iteration 37: (EM) log likelihood = -29100.842
Iteration 38: (EM) log likelihood = -29080.048
Iteration 39: (EM) log likelihood = -29060.22
Iteration 40: (EM) log likelihood = -29043.322
Iteration 41: (EM) log likelihood = -29027.145
Iteration 42: (EM) log likelihood = -29012.566
Iteration 43: (EM) log likelihood = -28998.56
Iteration 44: (EM) log likelihood = -28985.884
Iteration 45: (EM) log likelihood = -28974.628
Iteration 46: (EM) log likelihood = -28963.574
Iteration 47: (EM) log likelihood = -28952.314
Iteration 48: (EM) log likelihood = -28941.429
Iteration 49: (EM) log likelihood = -28931.405
Iteration 50: (EM) log likelihood = -28921.08
Iteration 51: (EM) log likelihood = -28911.727
Iteration 52: (EM) log likelihood = -28901.188
Iteration 53: (EM) log likelihood = -28890.528
Iteration 54: (EM) log likelihood = -28878.777
Iteration 55: (EM) log likelihood = -28869.305
Iteration 56: (EM) log likelihood = -28859.693
Iteration 57: (EM) log likelihood = -28851.154
Iteration 58: (EM) log likelihood = -28842.982
Iteration 59: (EM) log likelihood = -28833.896
Iteration 60: (EM) log likelihood = -28823.381
Iteration 61: (EM) log likelihood = -28812.592
Iteration 62: (EM) log likelihood = -28797.997
Iteration 63: (EM) log likelihood = -28784.749
Iteration 64: (EM) log likelihood = -28770.799
Iteration 65: (EM) log likelihood = -28757.546
Iteration 66: (EM) log likelihood = -28745.072
Iteration 67: (EM) log likelihood = -28734.478
Iteration 68: (EM) log likelihood = -28723.571
Iteration 69: (EM) log likelihood = -28714.222
Iteration 70: (EM) log likelihood = -28705.187
Iteration 71: (EM) log likelihood = -28695.814
Iteration 72: (EM) log likelihood = -28686.916
Iteration 73: (EM) log likelihood = -28679.11
Iteration 74: (EM) log likelihood = -28670.576
Iteration 75: (EM) log likelihood = -28664.392
Iteration 76: (EM) log likelihood = -28657.692
Iteration 77: (EM) log likelihood = -28649.051
Iteration 78: (EM) log likelihood = -28642.31
Iteration 79: (EM) log likelihood = -28636.555
Iteration 80: (EM) log likelihood = -28631.063
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7372.7792
Iteration 1: (class) log likelihood = -7372.7792
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29578.291
Iteration 1: (outcome) log likelihood = -29196.915
Iteration 2: (outcome) log likelihood = -29119.164
Iteration 3: (outcome) log likelihood = -29105.284
Iteration 4: (outcome) log likelihood = -29102.687
Iteration 5: (outcome) log likelihood = -29102.102
Iteration 6: (outcome) log likelihood = -29101.969
Iteration 7: (outcome) log likelihood = -29101.937
Iteration 8: (outcome) log likelihood = -29101.931
Iteration 9: (outcome) log likelihood = -29101.929
Iteration 10: (outcome) log likelihood = -29101.929
Iteration 11: (outcome) log likelihood = -29101.929
Refining starting values:
Iteration 0: (EM) log likelihood = -36434.112
Iteration 1: (EM) log likelihood = -36277.773
Iteration 2: (EM) log likelihood = -35785.391
Iteration 3: (EM) log likelihood = -34794.292
Iteration 4: (EM) log likelihood = -33710.428
Iteration 5: (EM) log likelihood = -32883.75
Iteration 6: (EM) log likelihood = -32265.939
Iteration 7: (EM) log likelihood = -31781.435
Iteration 8: (EM) log likelihood = -31388.838
Iteration 9: (EM) log likelihood = -31062.429
Iteration 10: (EM) log likelihood = -30784.995
Iteration 11: (EM) log likelihood = -30547.799
Iteration 12: (EM) log likelihood = -30343.875
Iteration 13: (EM) log likelihood = -30174.513
Iteration 14: (EM) log likelihood = -30036.829
Iteration 15: (EM) log likelihood = -29928.348
Iteration 16: (EM) log likelihood = -29846.884
Iteration 17: (EM) log likelihood = -29781.376
Iteration 18: (EM) log likelihood = -29725.693
Iteration 19: (EM) log likelihood = -29674.911
Iteration 20: (EM) log likelihood = -29627.653
Iteration 21: (EM) log likelihood = -29582.252
Iteration 22: (EM) log likelihood = -29536.801
Iteration 23: (EM) log likelihood = -29490.853
Iteration 24: (EM) log likelihood = -29447.79
Iteration 25: (EM) log likelihood = -29406.662
Iteration 26: (EM) log likelihood = -29367.899
Iteration 27: (EM) log likelihood = -29332.079
Iteration 28: (EM) log likelihood = -29297.966
Iteration 29: (EM) log likelihood = -29268.639
Iteration 30: (EM) log likelihood = -29242.759
Iteration 31: (EM) log likelihood = -29219.372
Iteration 32: (EM) log likelihood = -29197.779
Iteration 33: (EM) log likelihood = -29176.776
Iteration 34: (EM) log likelihood = -29157.442
Iteration 35: (EM) log likelihood = -29139.328
Iteration 36: (EM) log likelihood = -29121.856
Iteration 37: (EM) log likelihood = -29105.681
Iteration 38: (EM) log likelihood = -29091.069
Iteration 39: (EM) log likelihood = -29076.195
Iteration 40: (EM) log likelihood = -29059.995
Iteration 41: (EM) log likelihood = -29048.977
Iteration 42: (EM) log likelihood = -29035.24
Iteration 43: (EM) log likelihood = -29021.019
Iteration 44: (EM) log likelihood = -29008.157
Iteration 45: (EM) log likelihood = -28994.994
Iteration 46: (EM) log likelihood = -28981.025
Iteration 47: (EM) log likelihood = -28964.526
Iteration 48: (EM) log likelihood = -28949.343
Iteration 49: (EM) log likelihood = -28936.095
Iteration 50: (EM) log likelihood = -28921.48
Iteration 51: (EM) log likelihood = -28907.846
Iteration 52: (EM) log likelihood = -28893.269
Iteration 53: (EM) log likelihood = -28879.298
Iteration 54: (EM) log likelihood = -28865.172
Iteration 55: (EM) log likelihood = -28850.955
Iteration 56: (EM) log likelihood = -28835.871
Iteration 57: (EM) log likelihood = -28820.739
Iteration 58: (EM) log likelihood = -28804.384
Iteration 59: (EM) log likelihood = -28791.813
Iteration 60: (EM) log likelihood = -28781.402
Iteration 61: (EM) log likelihood = -28768.849
Iteration 62: (EM) log likelihood = -28756.81
Iteration 63: (EM) log likelihood = -28746.762
Iteration 64: (EM) log likelihood = -28737.321
Iteration 65: (EM) log likelihood = -28727.761
Iteration 66: (EM) log likelihood = -28719.102
Iteration 67: (EM) log likelihood = -28710.998
Iteration 68: (EM) log likelihood = -28704.69
Iteration 69: (EM) log likelihood = -28697.987
Iteration 70: (EM) log likelihood = -28694.043
Iteration 71: (EM) log likelihood = -28689.239
Iteration 72: (EM) log likelihood = -28683.314
Iteration 73: (EM) log likelihood = -28679.072
Iteration 74: (EM) log likelihood = -28674.018
Iteration 75: (EM) log likelihood = -28671.297
Iteration 76: (EM) log likelihood = -28668.52
Iteration 77: (EM) log likelihood = -28663.853
Iteration 78: (EM) log likelihood = -28661.426
Iteration 79: (EM) log likelihood = -28656.675
Iteration 80: (EM) log likelihood = -28652.835
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7369.2475
Iteration 1: (class) log likelihood = -7369.2475
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30273.224
Iteration 1: (outcome) log likelihood = -29329.53
Iteration 2: (outcome) log likelihood = -29152.844
Iteration 3: (outcome) log likelihood = -29116.37
Iteration 4: (outcome) log likelihood = -29107.774
Iteration 5: (outcome) log likelihood = -29105.901
Iteration 6: (outcome) log likelihood = -29105.516
Iteration 7: (outcome) log likelihood = -29105.43
Iteration 8: (outcome) log likelihood = -29105.409
Iteration 9: (outcome) log likelihood = -29105.404
Iteration 10: (outcome) log likelihood = -29105.403
Iteration 11: (outcome) log likelihood = -29105.403
Iteration 12: (outcome) log likelihood = -29105.403
Iteration 13: (outcome) log likelihood = -29105.403
Refining starting values:
Iteration 0: (EM) log likelihood = -36460.816
Iteration 1: (EM) log likelihood = -36385.202
Iteration 2: (EM) log likelihood = -36087.972
Iteration 3: (EM) log likelihood = -35228.938
Iteration 4: (EM) log likelihood = -34019.067
Iteration 5: (EM) log likelihood = -33160.283
Iteration 6: (EM) log likelihood = -32619.396
Iteration 7: (EM) log likelihood = -32226.263
Iteration 8: (EM) log likelihood = -31893.273
Iteration 9: (EM) log likelihood = -31596.37
Iteration 10: (EM) log likelihood = -31337.798
Iteration 11: (EM) log likelihood = -31119.858
Iteration 12: (EM) log likelihood = -30924.522
Iteration 13: (EM) log likelihood = -30737.703
Iteration 14: (EM) log likelihood = -30559.802
Iteration 15: (EM) log likelihood = -30399.561
Iteration 16: (EM) log likelihood = -30259.628
Iteration 17: (EM) log likelihood = -30136.404
Iteration 18: (EM) log likelihood = -30021.784
Iteration 19: (EM) log likelihood = -29911.518
Iteration 20: (EM) log likelihood = -29803.943
Iteration 21: (EM) log likelihood = -29701.237
Iteration 22: (EM) log likelihood = -29604.742
Iteration 23: (EM) log likelihood = -29520.234
Iteration 24: (EM) log likelihood = -29449.822
Iteration 25: (EM) log likelihood = -29395.123
Iteration 26: (EM) log likelihood = -29353.822
Iteration 27: (EM) log likelihood = -29323.12
Iteration 28: (EM) log likelihood = -29299.164
Iteration 29: (EM) log likelihood = -29280.183
Iteration 30: (EM) log likelihood = -29263.947
Iteration 31: (EM) log likelihood = -29249.082
Iteration 32: (EM) log likelihood = -29234.994
Iteration 33: (EM) log likelihood = -29221.553
Iteration 34: (EM) log likelihood = -29207.983
Iteration 35: (EM) log likelihood = -29194.907
Iteration 36: (EM) log likelihood = -29182.298
Iteration 37: (EM) log likelihood = -29169.877
Iteration 38: (EM) log likelihood = -29156.714
Iteration 39: (EM) log likelihood = -29143.408
Iteration 40: (EM) log likelihood = -29130.552
Iteration 41: (EM) log likelihood = -29117.368
Iteration 42: (EM) log likelihood = -29104.738
Iteration 43: (EM) log likelihood = -29092.218
Iteration 44: (EM) log likelihood = -29078.75
Iteration 45: (EM) log likelihood = -29066.682
Iteration 46: (EM) log likelihood = -29054.043
Iteration 47: (EM) log likelihood = -29040.549
Iteration 48: (EM) log likelihood = -29025.876
Iteration 49: (EM) log likelihood = -29014.549
Iteration 50: (EM) log likelihood = -29000.78
Iteration 51: (EM) log likelihood = -28988.128
Iteration 52: (EM) log likelihood = -28975.179
Iteration 53: (EM) log likelihood = -28963.19
Iteration 54: (EM) log likelihood = -28954.527
Iteration 55: (EM) log likelihood = -28941.265
Iteration 56: (EM) log likelihood = -28929.589
Iteration 57: (EM) log likelihood = -28918.561
Iteration 58: (EM) log likelihood = -28907.843
Iteration 59: (EM) log likelihood = -28896.685
Iteration 60: (EM) log likelihood = -28887.466
Iteration 61: (EM) log likelihood = -28877.455
Iteration 62: (EM) log likelihood = -28866.611
Iteration 63: (EM) log likelihood = -28857.436
Iteration 64: (EM) log likelihood = -28847.777
Iteration 65: (EM) log likelihood = -28839.239
Iteration 66: (EM) log likelihood = -28830.183
Iteration 67: (EM) log likelihood = -28823.591
Iteration 68: (EM) log likelihood = -28814.662
Iteration 69: (EM) log likelihood = -28807.672
Iteration 70: (EM) log likelihood = -28801.07
Iteration 71: (EM) log likelihood = -28792.811
Iteration 72: (EM) log likelihood = -28789.019
Iteration 73: (EM) log likelihood = -28781.909
Iteration 74: (EM) log likelihood = -28775.484
Iteration 75: (EM) log likelihood = -28769.087
Iteration 76: (EM) log likelihood = -28761.477
Iteration 77: (EM) log likelihood = -28755.059
Iteration 78: (EM) log likelihood = -28749.775
Iteration 79: (EM) log likelihood = -28744.949
Iteration 80: (EM) log likelihood = -28737.57
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7372.318
Iteration 1: (class) log likelihood = -7372.318
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30094.525
Iteration 1: (outcome) log likelihood = -29308.098
Iteration 2: (outcome) log likelihood = -29131.514
Iteration 3: (outcome) log likelihood = -29099.292
Iteration 4: (outcome) log likelihood = -29091.519
Iteration 5: (outcome) log likelihood = -29089.861
Iteration 6: (outcome) log likelihood = -29089.514
Iteration 7: (outcome) log likelihood = -29089.436
Iteration 8: (outcome) log likelihood = -29089.417
Iteration 9: (outcome) log likelihood = -29089.413
Iteration 10: (outcome) log likelihood = -29089.412
Iteration 11: (outcome) log likelihood = -29089.412
Iteration 12: (outcome) log likelihood = -29089.412
Iteration 13: (outcome) log likelihood = -29089.412
Refining starting values:
Iteration 0: (EM) log likelihood = -36432.566
Iteration 1: (EM) log likelihood = -36309.218
Iteration 2: (EM) log likelihood = -35911.338
Iteration 3: (EM) log likelihood = -35010.904
Iteration 4: (EM) log likelihood = -33879.609
Iteration 5: (EM) log likelihood = -32948.601
Iteration 6: (EM) log likelihood = -32218.621
Iteration 7: (EM) log likelihood = -31649.282
Iteration 8: (EM) log likelihood = -31218.381
Iteration 9: (EM) log likelihood = -30874.786
Iteration 10: (EM) log likelihood = -30595.382
Iteration 11: (EM) log likelihood = -30372.202
Iteration 12: (EM) log likelihood = -30196.585
Iteration 13: (EM) log likelihood = -30061.457
Iteration 14: (EM) log likelihood = -29954.073
Iteration 15: (EM) log likelihood = -29861.556
Iteration 16: (EM) log likelihood = -29783.252
Iteration 17: (EM) log likelihood = -29714.767
Iteration 18: (EM) log likelihood = -29654.371
Iteration 19: (EM) log likelihood = -29599.947
Iteration 20: (EM) log likelihood = -29552.083
Iteration 21: (EM) log likelihood = -29507.946
Iteration 22: (EM) log likelihood = -29467.07
Iteration 23: (EM) log likelihood = -29427.931
Iteration 24: (EM) log likelihood = -29392.777
Iteration 25: (EM) log likelihood = -29359.282
Iteration 26: (EM) log likelihood = -29328.015
Iteration 27: (EM) log likelihood = -29302.662
Iteration 28: (EM) log likelihood = -29277.216
Iteration 29: (EM) log likelihood = -29253.497
Iteration 30: (EM) log likelihood = -29233.755
Iteration 31: (EM) log likelihood = -29214.142
Iteration 32: (EM) log likelihood = -29198.579
Iteration 33: (EM) log likelihood = -29183.27
Iteration 34: (EM) log likelihood = -29169.278
Iteration 35: (EM) log likelihood = -29154.431
Iteration 36: (EM) log likelihood = -29141.913
Iteration 37: (EM) log likelihood = -29126.856
Iteration 38: (EM) log likelihood = -29114.058
Iteration 39: (EM) log likelihood = -29100.787
Iteration 40: (EM) log likelihood = -29086.829
Iteration 41: (EM) log likelihood = -29072.664
Iteration 42: (EM) log likelihood = -29057.645
Iteration 43: (EM) log likelihood = -29042.116
Iteration 44: (EM) log likelihood = -29027.571
Iteration 45: (EM) log likelihood = -29010.744
Iteration 46: (EM) log likelihood = -28992.617
Iteration 47: (EM) log likelihood = -28976.12
Iteration 48: (EM) log likelihood = -28958.202
Iteration 49: (EM) log likelihood = -28940.206
Iteration 50: (EM) log likelihood = -28923.323
Iteration 51: (EM) log likelihood = -28905.298
Iteration 52: (EM) log likelihood = -28887.738
Iteration 53: (EM) log likelihood = -28870.163
Iteration 54: (EM) log likelihood = -28852.336
Iteration 55: (EM) log likelihood = -28835.898
Iteration 56: (EM) log likelihood = -28820.087
Iteration 57: (EM) log likelihood = -28803.287
Iteration 58: (EM) log likelihood = -28786.835
Iteration 59: (EM) log likelihood = -28770.805
Iteration 60: (EM) log likelihood = -28756.76
Iteration 61: (EM) log likelihood = -28742.966
Iteration 62: (EM) log likelihood = -28730.773
Iteration 63: (EM) log likelihood = -28718.77
Iteration 64: (EM) log likelihood = -28708.15
Iteration 65: (EM) log likelihood = -28698.362
Iteration 66: (EM) log likelihood = -28688.858
Iteration 67: (EM) log likelihood = -28680.08
Iteration 68: (EM) log likelihood = -28672.959
Iteration 69: (EM) log likelihood = -28665.987
Iteration 70: (EM) log likelihood = -28659.432
Iteration 71: (EM) log likelihood = -28653.859
Iteration 72: (EM) log likelihood = -28651.2
Iteration 73: (EM) log likelihood = -28646.628
Iteration 74: (EM) log likelihood = -28640.591
Iteration 75: (EM) log likelihood = -28635.901
Iteration 76: (EM) log likelihood = -28631.328
Iteration 77: (EM) log likelihood = -28626.148
Iteration 78: (EM) log likelihood = -28621.295
Iteration 79: (EM) log likelihood = -28616.794
Iteration 80: (EM) log likelihood = -28612.145
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.5408
Iteration 1: (class) log likelihood = -7370.5408
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29748.151
Iteration 1: (outcome) log likelihood = -29246.35
Iteration 2: (outcome) log likelihood = -29126.476
Iteration 3: (outcome) log likelihood = -29107.151
Iteration 4: (outcome) log likelihood = -29103.85
Iteration 5: (outcome) log likelihood = -29103.095
Iteration 6: (outcome) log likelihood = -29102.909
Iteration 7: (outcome) log likelihood = -29102.872
Iteration 8: (outcome) log likelihood = -29102.864
Iteration 9: (outcome) log likelihood = -29102.862
Iteration 10: (outcome) log likelihood = -29102.862
Iteration 11: (outcome) log likelihood = -29102.862
Iteration 12: (outcome) log likelihood = -29102.862
Refining starting values:
Iteration 0: (EM) log likelihood = -36436.198
Iteration 1: (EM) log likelihood = -36286.789
Iteration 2: (EM) log likelihood = -35753.706
Iteration 3: (EM) log likelihood = -34604.709
Iteration 4: (EM) log likelihood = -33489.63
Iteration 5: (EM) log likelihood = -32747.023
Iteration 6: (EM) log likelihood = -32192.13
Iteration 7: (EM) log likelihood = -31753.833
Iteration 8: (EM) log likelihood = -31410.888
Iteration 9: (EM) log likelihood = -31149.67
Iteration 10: (EM) log likelihood = -30933.47
Iteration 11: (EM) log likelihood = -30738.363
Iteration 12: (EM) log likelihood = -30554.305
Iteration 13: (EM) log likelihood = -30381.219
Iteration 14: (EM) log likelihood = -30217.289
Iteration 15: (EM) log likelihood = -30065.437
Iteration 16: (EM) log likelihood = -29927.451
Iteration 17: (EM) log likelihood = -29803.941
Iteration 18: (EM) log likelihood = -29696.788
Iteration 19: (EM) log likelihood = -29599.047
Iteration 20: (EM) log likelihood = -29513.46
Iteration 21: (EM) log likelihood = -29439.481
Iteration 22: (EM) log likelihood = -29381.091
Iteration 23: (EM) log likelihood = -29329.87
Iteration 24: (EM) log likelihood = -29285.881
Iteration 25: (EM) log likelihood = -29249.329
Iteration 26: (EM) log likelihood = -29220.419
Iteration 27: (EM) log likelihood = -29193.763
Iteration 28: (EM) log likelihood = -29173.028
Iteration 29: (EM) log likelihood = -29153.92
Iteration 30: (EM) log likelihood = -29137.084
Iteration 31: (EM) log likelihood = -29119.345
Iteration 32: (EM) log likelihood = -29097.88
Iteration 33: (EM) log likelihood = -29074.539
Iteration 34: (EM) log likelihood = -29050.487
Iteration 35: (EM) log likelihood = -29024.927
Iteration 36: (EM) log likelihood = -28997.013
Iteration 37: (EM) log likelihood = -28968.178
Iteration 38: (EM) log likelihood = -28937.289
Iteration 39: (EM) log likelihood = -28905.46
Iteration 40: (EM) log likelihood = -28873.437
Iteration 41: (EM) log likelihood = -28837.236
Iteration 42: (EM) log likelihood = -28801.171
Iteration 43: (EM) log likelihood = -28762.244
Iteration 44: (EM) log likelihood = -28721.073
Iteration 45: (EM) log likelihood = -28680
Iteration 46: (EM) log likelihood = -28638.372
Iteration 47: (EM) log likelihood = -28596.151
Iteration 48: (EM) log likelihood = -28553.536
Iteration 49: (EM) log likelihood = -28511.323
Iteration 50: (EM) log likelihood = -28473.051
Iteration 51: (EM) log likelihood = -28435.749
Iteration 52: (EM) log likelihood = -28400.891
Iteration 53: (EM) log likelihood = -28369.096
Iteration 54: (EM) log likelihood = -28339.571
Iteration 55: (EM) log likelihood = -28311.824
Iteration 56: (EM) log likelihood = -28286.581
Iteration 57: (EM) log likelihood = -28262.666
Iteration 58: (EM) log likelihood = -28240.547
Iteration 59: (EM) log likelihood = -28221.409
Iteration 60: (EM) log likelihood = -28204.619
Iteration 61: (EM) log likelihood = -28189.304
Iteration 62: (EM) log likelihood = -28175.521
Iteration 63: (EM) log likelihood = -28163.074
Iteration 64: (EM) log likelihood = -28152.143
Iteration 65: (EM) log likelihood = -28142.931
Iteration 66: (EM) log likelihood = -28137.395
Iteration 67: (EM) log likelihood = -28130.198
Iteration 68: (EM) log likelihood = -28121.719
Iteration 69: (EM) log likelihood = -28114.343
Iteration 70: (EM) log likelihood = -28106.616
Iteration 71: (EM) log likelihood = -28100.382
Iteration 72: (EM) log likelihood = -28093.918
Iteration 73: (EM) log likelihood = -28089.918
Iteration 74: (EM) log likelihood = -28083.976
Iteration 75: (EM) log likelihood = -28078.467
Iteration 76: (EM) log likelihood = -28073.155
Iteration 77: (EM) log likelihood = -28069.793
Iteration 78: (EM) log likelihood = -28067.846
Iteration 79: (EM) log likelihood = -28066.699
Iteration 80: (EM) log likelihood = -28063.699
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7372.0439
Iteration 1: (class) log likelihood = -7372.0439
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29766.675
Iteration 1: (outcome) log likelihood = -29254.729
Iteration 2: (outcome) log likelihood = -29124.506
Iteration 3: (outcome) log likelihood = -29104.234
Iteration 4: (outcome) log likelihood = -29099.654
Iteration 5: (outcome) log likelihood = -29098.711
Iteration 6: (outcome) log likelihood = -29098.545
Iteration 7: (outcome) log likelihood = -29098.508
Iteration 8: (outcome) log likelihood = -29098.498
Iteration 9: (outcome) log likelihood = -29098.496
Iteration 10: (outcome) log likelihood = -29098.496
Iteration 11: (outcome) log likelihood = -29098.496
Iteration 12: (outcome) log likelihood = -29098.496
Refining starting values:
Iteration 0: (EM) log likelihood = -36436.014
Iteration 1: (EM) log likelihood = -36299.095
Iteration 2: (EM) log likelihood = -35841.906
Iteration 3: (EM) log likelihood = -34819.038
Iteration 4: (EM) log likelihood = -33677.423
Iteration 5: (EM) log likelihood = -32852.792
Iteration 6: (EM) log likelihood = -32239.081
Iteration 7: (EM) log likelihood = -31750.642
Iteration 8: (EM) log likelihood = -31369.401
Iteration 9: (EM) log likelihood = -31073.174
Iteration 10: (EM) log likelihood = -30836.735
Iteration 11: (EM) log likelihood = -30645.661
Iteration 12: (EM) log likelihood = -30482.588
Iteration 13: (EM) log likelihood = -30332.844
Iteration 14: (EM) log likelihood = -30190.684
Iteration 15: (EM) log likelihood = -30049.702
Iteration 16: (EM) log likelihood = -29916.267
Iteration 17: (EM) log likelihood = -29781.404
Iteration 18: (EM) log likelihood = -29644.422
Iteration 19: (EM) log likelihood = -29513.48
Iteration 20: (EM) log likelihood = -29391.979
Iteration 21: (EM) log likelihood = -29288.408
Iteration 22: (EM) log likelihood = -29198.254
Iteration 23: (EM) log likelihood = -29122.812
Iteration 24: (EM) log likelihood = -29059.775
Iteration 25: (EM) log likelihood = -29005.975
Iteration 26: (EM) log likelihood = -28957.121
Iteration 27: (EM) log likelihood = -28914.579
Iteration 28: (EM) log likelihood = -28875.195
Iteration 29: (EM) log likelihood = -28841.559
Iteration 30: (EM) log likelihood = -28808.501
Iteration 31: (EM) log likelihood = -28777.888
Iteration 32: (EM) log likelihood = -28750.458
Iteration 33: (EM) log likelihood = -28722.493
Iteration 34: (EM) log likelihood = -28696.339
Iteration 35: (EM) log likelihood = -28669.881
Iteration 36: (EM) log likelihood = -28644.099
Iteration 37: (EM) log likelihood = -28619.447
Iteration 38: (EM) log likelihood = -28595.798
Iteration 39: (EM) log likelihood = -28570.324
Iteration 40: (EM) log likelihood = -28546.357
Iteration 41: (EM) log likelihood = -28524.742
Iteration 42: (EM) log likelihood = -28504.089
Iteration 43: (EM) log likelihood = -28485.117
Iteration 44: (EM) log likelihood = -28466.57
Iteration 45: (EM) log likelihood = -28449.137
Iteration 46: (EM) log likelihood = -28433.821
Iteration 47: (EM) log likelihood = -28418.166
Iteration 48: (EM) log likelihood = -28404.549
Iteration 49: (EM) log likelihood = -28389.923
Iteration 50: (EM) log likelihood = -28381.057
Iteration 51: (EM) log likelihood = -28369.349
Iteration 52: (EM) log likelihood = -28359.239
Iteration 53: (EM) log likelihood = -28350.187
Iteration 54: (EM) log likelihood = -28340.499
Iteration 55: (EM) log likelihood = -28334.087
Iteration 56: (EM) log likelihood = -28326.34
Iteration 57: (EM) log likelihood = -28319.498
Iteration 58: (EM) log likelihood = -28314.485
Iteration 59: (EM) log likelihood = -28311.073
Iteration 60: (EM) log likelihood = -28306.75
Iteration 61: (EM) log likelihood = -28297.857
Iteration 62: (EM) log likelihood = -28292.192
Iteration 63: (EM) log likelihood = -28288.216
Iteration 64: (EM) log likelihood = -28283.703
Iteration 65: (EM) log likelihood = -28281.591
Iteration 66: (EM) log likelihood = -28275.619
Iteration 67: (EM) log likelihood = -28270.817
Iteration 68: (EM) log likelihood = -28267.881
Iteration 69: (EM) log likelihood = -28262.155
Iteration 70: (EM) log likelihood = -28257.905
Iteration 71: (EM) log likelihood = -28253.933
Iteration 72: (EM) log likelihood = -28248.915
Iteration 73: (EM) log likelihood = -28249.111
Iteration 74: (EM) log likelihood = -28245.034
Iteration 75: (EM) log likelihood = -28240.907
Iteration 76: (EM) log likelihood = -28236.584
Iteration 77: (EM) log likelihood = -28232.391
Iteration 78: (EM) log likelihood = -28228.498
Iteration 79: (EM) log likelihood = -28228.345
Iteration 80: (EM) log likelihood = -28225.437
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7369.8019
Iteration 1: (class) log likelihood = -7369.8019
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30129.351
Iteration 1: (outcome) log likelihood = -29269.03
Iteration 2: (outcome) log likelihood = -29135.86
Iteration 3: (outcome) log likelihood = -29106.394
Iteration 4: (outcome) log likelihood = -29099.736
Iteration 5: (outcome) log likelihood = -29098.359
Iteration 6: (outcome) log likelihood = -29098.127
Iteration 7: (outcome) log likelihood = -29098.073
Iteration 8: (outcome) log likelihood = -29098.06
Iteration 9: (outcome) log likelihood = -29098.058
Iteration 10: (outcome) log likelihood = -29098.057
Iteration 11: (outcome) log likelihood = -29098.057
Iteration 12: (outcome) log likelihood = -29098.057
Refining starting values:
Iteration 0: (EM) log likelihood = -36451.481
Iteration 1: (EM) log likelihood = -36376.926
Iteration 2: (EM) log likelihood = -36112.228
Iteration 3: (EM) log likelihood = -35377.097
Iteration 4: (EM) log likelihood = -34274.414
Iteration 5: (EM) log likelihood = -33406.466
Iteration 6: (EM) log likelihood = -32802.319
Iteration 7: (EM) log likelihood = -32326.447
Iteration 8: (EM) log likelihood = -31921.23
Iteration 9: (EM) log likelihood = -31574.406
Iteration 10: (EM) log likelihood = -31282.856
Iteration 11: (EM) log likelihood = -31037.208
Iteration 12: (EM) log likelihood = -30828.463
Iteration 13: (EM) log likelihood = -30654.968
Iteration 14: (EM) log likelihood = -30504.555
Iteration 15: (EM) log likelihood = -30370.755
Iteration 16: (EM) log likelihood = -30256.196
Iteration 17: (EM) log likelihood = -30162.277
Iteration 18: (EM) log likelihood = -30083.897
Iteration 19: (EM) log likelihood = -30016.623
Iteration 20: (EM) log likelihood = -29958.502
Iteration 21: (EM) log likelihood = -29906.02
Iteration 22: (EM) log likelihood = -29856.556
Iteration 23: (EM) log likelihood = -29809.583
Iteration 24: (EM) log likelihood = -29766.202
Iteration 25: (EM) log likelihood = -29726.579
Iteration 26: (EM) log likelihood = -29688.652
Iteration 27: (EM) log likelihood = -29652.873
Iteration 28: (EM) log likelihood = -29619.235
Iteration 29: (EM) log likelihood = -29587.347
Iteration 30: (EM) log likelihood = -29556.929
Iteration 31: (EM) log likelihood = -29528.299
Iteration 32: (EM) log likelihood = -29501.177
Iteration 33: (EM) log likelihood = -29475.446
Iteration 34: (EM) log likelihood = -29450.535
Iteration 35: (EM) log likelihood = -29426.696
Iteration 36: (EM) log likelihood = -29402.985
Iteration 37: (EM) log likelihood = -29380.151
Iteration 38: (EM) log likelihood = -29357.34
Iteration 39: (EM) log likelihood = -29335.038
Iteration 40: (EM) log likelihood = -29310.881
Iteration 41: (EM) log likelihood = -29287.086
Iteration 42: (EM) log likelihood = -29261.805
Iteration 43: (EM) log likelihood = -29236.814
Iteration 44: (EM) log likelihood = -29211.02
Iteration 45: (EM) log likelihood = -29184.646
Iteration 46: (EM) log likelihood = -29158.548
Iteration 47: (EM) log likelihood = -29130.264
Iteration 48: (EM) log likelihood = -29100.742
Iteration 49: (EM) log likelihood = -29068.97
Iteration 50: (EM) log likelihood = -29035.263
Iteration 51: (EM) log likelihood = -28999.929
Iteration 52: (EM) log likelihood = -28963.818
Iteration 53: (EM) log likelihood = -28925.983
Iteration 54: (EM) log likelihood = -28888.737
Iteration 55: (EM) log likelihood = -28850.974
Iteration 56: (EM) log likelihood = -28813.876
Iteration 57: (EM) log likelihood = -28778.079
Iteration 58: (EM) log likelihood = -28743.558
Iteration 59: (EM) log likelihood = -28709.265
Iteration 60: (EM) log likelihood = -28678.217
Iteration 61: (EM) log likelihood = -28648.542
Iteration 62: (EM) log likelihood = -28619.229
Iteration 63: (EM) log likelihood = -28593.452
Iteration 64: (EM) log likelihood = -28570.311
Iteration 65: (EM) log likelihood = -28550.209
Iteration 66: (EM) log likelihood = -28530.237
Iteration 67: (EM) log likelihood = -28514.721
Iteration 68: (EM) log likelihood = -28500.436
Iteration 69: (EM) log likelihood = -28488.631
Iteration 70: (EM) log likelihood = -28478.846
Iteration 71: (EM) log likelihood = -28468.818
Iteration 72: (EM) log likelihood = -28461.862
Iteration 73: (EM) log likelihood = -28455.871
Iteration 74: (EM) log likelihood = -28452.092
Iteration 75: (EM) log likelihood = -28446.849
Iteration 76: (EM) log likelihood = -28441.744
Iteration 77: (EM) log likelihood = -28438.587
Iteration 78: (EM) log likelihood = -28436.175
Iteration 79: (EM) log likelihood = -28433.673
Iteration 80: (EM) log likelihood = -28431.591
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.0193
Iteration 1: (class) log likelihood = -7371.0193
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29100.564
Iteration 1: (outcome) log likelihood = -29100.564
Refining starting values:
Iteration 0: (EM) log likelihood = -36433.885
Iteration 1: (EM) log likelihood = -36288.541
Iteration 2: (EM) log likelihood = -35809.238
Iteration 3: (EM) log likelihood = -34799.503
Iteration 4: (EM) log likelihood = -33715.26
Iteration 5: (EM) log likelihood = -32906.88
Iteration 6: (EM) log likelihood = -32276.321
Iteration 7: (EM) log likelihood = -31748.897
Iteration 8: (EM) log likelihood = -31310.724
Iteration 9: (EM) log likelihood = -30956.25
Iteration 10: (EM) log likelihood = -30682.347
Iteration 11: (EM) log likelihood = -30474.986
Iteration 12: (EM) log likelihood = -30313.163
Iteration 13: (EM) log likelihood = -30181.232
Iteration 14: (EM) log likelihood = -30069.243
Iteration 15: (EM) log likelihood = -29970.332
Iteration 16: (EM) log likelihood = -29881.933
Iteration 17: (EM) log likelihood = -29801.932
Iteration 18: (EM) log likelihood = -29728.917
Iteration 19: (EM) log likelihood = -29663.523
Iteration 20: (EM) log likelihood = -29604.272
Iteration 21: (EM) log likelihood = -29547.774
Iteration 22: (EM) log likelihood = -29495.251
Iteration 23: (EM) log likelihood = -29443.409
Iteration 24: (EM) log likelihood = -29388.856
Iteration 25: (EM) log likelihood = -29330.314
Iteration 26: (EM) log likelihood = -29270.506
Iteration 27: (EM) log likelihood = -29213.135
Iteration 28: (EM) log likelihood = -29158.495
Iteration 29: (EM) log likelihood = -29105.883
Iteration 30: (EM) log likelihood = -29056.971
Iteration 31: (EM) log likelihood = -29010.854
Iteration 32: (EM) log likelihood = -28968.049
Iteration 33: (EM) log likelihood = -28928.58
Iteration 34: (EM) log likelihood = -28891.377
Iteration 35: (EM) log likelihood = -28857.805
Iteration 36: (EM) log likelihood = -28825.841
Iteration 37: (EM) log likelihood = -28795.356
Iteration 38: (EM) log likelihood = -28765.352
Iteration 39: (EM) log likelihood = -28737.824
Iteration 40: (EM) log likelihood = -28709.756
Iteration 41: (EM) log likelihood = -28684.16
Iteration 42: (EM) log likelihood = -28659.634
Iteration 43: (EM) log likelihood = -28635.347
Iteration 44: (EM) log likelihood = -28614.399
Iteration 45: (EM) log likelihood = -28594.845
Iteration 46: (EM) log likelihood = -28576.125
Iteration 47: (EM) log likelihood = -28559.449
Iteration 48: (EM) log likelihood = -28544.465
Iteration 49: (EM) log likelihood = -28531.807
Iteration 50: (EM) log likelihood = -28518.418
Iteration 51: (EM) log likelihood = -28506.179
Iteration 52: (EM) log likelihood = -28495.132
Iteration 53: (EM) log likelihood = -28484.569
Iteration 54: (EM) log likelihood = -28474.759
Iteration 55: (EM) log likelihood = -28465.568
Iteration 56: (EM) log likelihood = -28456.064
Iteration 57: (EM) log likelihood = -28446.996
Iteration 58: (EM) log likelihood = -28438.666
Iteration 59: (EM) log likelihood = -28430.941
Iteration 60: (EM) log likelihood = -28422.862
Iteration 61: (EM) log likelihood = -28416.352
Iteration 62: (EM) log likelihood = -28409.29
Iteration 63: (EM) log likelihood = -28400.226
Iteration 64: (EM) log likelihood = -28388.646
Iteration 65: (EM) log likelihood = -28377.683
Iteration 66: (EM) log likelihood = -28365.62
Iteration 67: (EM) log likelihood = -28353.725
Iteration 68: (EM) log likelihood = -28343.057
Iteration 69: (EM) log likelihood = -28333.833
Iteration 70: (EM) log likelihood = -28325.803
Iteration 71: (EM) log likelihood = -28319.478
Iteration 72: (EM) log likelihood = -28313.643
Iteration 73: (EM) log likelihood = -28307.382
Iteration 74: (EM) log likelihood = -28302.312
Iteration 75: (EM) log likelihood = -28297.956
Iteration 76: (EM) log likelihood = -28293.154
Iteration 77: (EM) log likelihood = -28289.087
Iteration 78: (EM) log likelihood = -28284.579
Iteration 79: (EM) log likelihood = -28280.356
Iteration 80: (EM) log likelihood = -28274.418
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.1724
Iteration 1: (class) log likelihood = -7370.1724
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30161.863
Iteration 1: (outcome) log likelihood = -29286.733
Iteration 2: (outcome) log likelihood = -29122.193
Iteration 3: (outcome) log likelihood = -29085.506
Iteration 4: (outcome) log likelihood = -29078.299
Iteration 5: (outcome) log likelihood = -29076.718
Iteration 6: (outcome) log likelihood = -29076.365
Iteration 7: (outcome) log likelihood = -29076.276
Iteration 8: (outcome) log likelihood = -29076.259
Iteration 9: (outcome) log likelihood = -29076.256
Iteration 10: (outcome) log likelihood = -29076.256
Iteration 11: (outcome) log likelihood = -29076.256
Iteration 12: (outcome) log likelihood = -29076.256
Refining starting values:
Iteration 0: (EM) log likelihood = -36396.127
Iteration 1: (EM) log likelihood = -36205.813
Iteration 2: (EM) log likelihood = -35633.639
Iteration 3: (EM) log likelihood = -34559.935
Iteration 4: (EM) log likelihood = -33474.034
Iteration 5: (EM) log likelihood = -32648.09
Iteration 6: (EM) log likelihood = -32011.94
Iteration 7: (EM) log likelihood = -31522.632
Iteration 8: (EM) log likelihood = -31154.254
Iteration 9: (EM) log likelihood = -30870.74
Iteration 10: (EM) log likelihood = -30648.605
Iteration 11: (EM) log likelihood = -30467.961
Iteration 12: (EM) log likelihood = -30312.988
Iteration 13: (EM) log likelihood = -30182.827
Iteration 14: (EM) log likelihood = -30069.587
Iteration 15: (EM) log likelihood = -29959.241
Iteration 16: (EM) log likelihood = -29858.874
Iteration 17: (EM) log likelihood = -29761.524
Iteration 18: (EM) log likelihood = -29668.309
Iteration 19: (EM) log likelihood = -29580.035
Iteration 20: (EM) log likelihood = -29497.1
Iteration 21: (EM) log likelihood = -29419.274
Iteration 22: (EM) log likelihood = -29346.325
Iteration 23: (EM) log likelihood = -29275.931
Iteration 24: (EM) log likelihood = -29208.599
Iteration 25: (EM) log likelihood = -29143.116
Iteration 26: (EM) log likelihood = -29078.861
Iteration 27: (EM) log likelihood = -29016.78
Iteration 28: (EM) log likelihood = -28956.578
Iteration 29: (EM) log likelihood = -28901.81
Iteration 30: (EM) log likelihood = -28850.673
Iteration 31: (EM) log likelihood = -28803.171
Iteration 32: (EM) log likelihood = -28760.57
Iteration 33: (EM) log likelihood = -28719.111
Iteration 34: (EM) log likelihood = -28681.141
Iteration 35: (EM) log likelihood = -28647.328
Iteration 36: (EM) log likelihood = -28613.252
Iteration 37: (EM) log likelihood = -28582.338
Iteration 38: (EM) log likelihood = -28550.932
Iteration 39: (EM) log likelihood = -28524.781
Iteration 40: (EM) log likelihood = -28499.276
Iteration 41: (EM) log likelihood = -28476.806
Iteration 42: (EM) log likelihood = -28457.809
Iteration 43: (EM) log likelihood = -28438.159
Iteration 44: (EM) log likelihood = -28421.255
Iteration 45: (EM) log likelihood = -28405.132
Iteration 46: (EM) log likelihood = -28391.23
Iteration 47: (EM) log likelihood = -28377.788
Iteration 48: (EM) log likelihood = -28365.417
Iteration 49: (EM) log likelihood = -28355.466
Iteration 50: (EM) log likelihood = -28345.605
Iteration 51: (EM) log likelihood = -28337.019
Iteration 52: (EM) log likelihood = -28330.137
Iteration 53: (EM) log likelihood = -28325.614
Iteration 54: (EM) log likelihood = -28318.75
Iteration 55: (EM) log likelihood = -28313.541
Iteration 56: (EM) log likelihood = -28308.138
Iteration 57: (EM) log likelihood = -28303.291
Iteration 58: (EM) log likelihood = -28298.466
Iteration 59: (EM) log likelihood = -28293.704
Iteration 60: (EM) log likelihood = -28286.621
Iteration 61: (EM) log likelihood = -28282.359
Iteration 62: (EM) log likelihood = -28277.537
Iteration 63: (EM) log likelihood = -28272.318
Iteration 64: (EM) log likelihood = -28268.045
Iteration 65: (EM) log likelihood = -28262.432
Iteration 66: (EM) log likelihood = -28257.594
Iteration 67: (EM) log likelihood = -28253.478
Iteration 68: (EM) log likelihood = -28248.761
Iteration 69: (EM) log likelihood = -28245.274
Iteration 70: (EM) log likelihood = -28241.188
Iteration 71: (EM) log likelihood = -28238.545
Iteration 72: (EM) log likelihood = -28235.099
Iteration 73: (EM) log likelihood = -28236.189
Iteration 74: (EM) log likelihood = -28230.157
Iteration 75: (EM) log likelihood = -28223.716
Iteration 76: (EM) log likelihood = -28220.833
Iteration 77: (EM) log likelihood = -28216.423
Iteration 78: (EM) log likelihood = -28215.664
Iteration 79: (EM) log likelihood = -28212.05
Iteration 80: (EM) log likelihood = -28209.733
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7369.9574
Iteration 1: (class) log likelihood = -7369.9574
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29804.334
Iteration 1: (outcome) log likelihood = -29245.808
Iteration 2: (outcome) log likelihood = -29133.831
Iteration 3: (outcome) log likelihood = -29113.098
Iteration 4: (outcome) log likelihood = -29109.18
Iteration 5: (outcome) log likelihood = -29108.305
Iteration 6: (outcome) log likelihood = -29108.106
Iteration 7: (outcome) log likelihood = -29108.058
Iteration 8: (outcome) log likelihood = -29108.048
Iteration 9: (outcome) log likelihood = -29108.046
Iteration 10: (outcome) log likelihood = -29108.046
Iteration 11: (outcome) log likelihood = -29108.046
Iteration 12: (outcome) log likelihood = -29108.046
Refining starting values:
Iteration 0: (EM) log likelihood = -36466.481
Iteration 1: (EM) log likelihood = -36409.64
Iteration 2: (EM) log likelihood = -36219.641
Iteration 3: (EM) log likelihood = -35714.728
Iteration 4: (EM) log likelihood = -34834.816
Iteration 5: (EM) log likelihood = -33811.235
Iteration 6: (EM) log likelihood = -32889.025
Iteration 7: (EM) log likelihood = -32154.581
Iteration 8: (EM) log likelihood = -31618.879
Iteration 9: (EM) log likelihood = -31230.548
Iteration 10: (EM) log likelihood = -30937.909
Iteration 11: (EM) log likelihood = -30716.193
Iteration 12: (EM) log likelihood = -30554.677
Iteration 13: (EM) log likelihood = -30437.439
Iteration 14: (EM) log likelihood = -30347.478
Iteration 15: (EM) log likelihood = -30275.28
Iteration 16: (EM) log likelihood = -30208.324
Iteration 17: (EM) log likelihood = -30142.6
Iteration 18: (EM) log likelihood = -30075.283
Iteration 19: (EM) log likelihood = -30007.859
Iteration 20: (EM) log likelihood = -29939.867
Iteration 21: (EM) log likelihood = -29871.266
Iteration 22: (EM) log likelihood = -29801.216
Iteration 23: (EM) log likelihood = -29729.87
Iteration 24: (EM) log likelihood = -29658.303
Iteration 25: (EM) log likelihood = -29586.689
Iteration 26: (EM) log likelihood = -29517.634
Iteration 27: (EM) log likelihood = -29451.058
Iteration 28: (EM) log likelihood = -29386.949
Iteration 29: (EM) log likelihood = -29324.498
Iteration 30: (EM) log likelihood = -29264.133
Iteration 31: (EM) log likelihood = -29205.968
Iteration 32: (EM) log likelihood = -29149.778
Iteration 33: (EM) log likelihood = -29095.588
Iteration 34: (EM) log likelihood = -29043.093
Iteration 35: (EM) log likelihood = -28993.718
Iteration 36: (EM) log likelihood = -28947.418
Iteration 37: (EM) log likelihood = -28902.787
Iteration 38: (EM) log likelihood = -28860.43
Iteration 39: (EM) log likelihood = -28820.801
Iteration 40: (EM) log likelihood = -28783.475
Iteration 41: (EM) log likelihood = -28747.854
Iteration 42: (EM) log likelihood = -28713.754
Iteration 43: (EM) log likelihood = -28682.462
Iteration 44: (EM) log likelihood = -28652.322
Iteration 45: (EM) log likelihood = -28621.778
Iteration 46: (EM) log likelihood = -28595.022
Iteration 47: (EM) log likelihood = -28569.62
Iteration 48: (EM) log likelihood = -28545.631
Iteration 49: (EM) log likelihood = -28522.945
Iteration 50: (EM) log likelihood = -28501.511
Iteration 51: (EM) log likelihood = -28481.185
Iteration 52: (EM) log likelihood = -28462.389
Iteration 53: (EM) log likelihood = -28444.607
Iteration 54: (EM) log likelihood = -28427.355
Iteration 55: (EM) log likelihood = -28411.148
Iteration 56: (EM) log likelihood = -28395.482
Iteration 57: (EM) log likelihood = -28380.549
Iteration 58: (EM) log likelihood = -28365.946
Iteration 59: (EM) log likelihood = -28351.973
Iteration 60: (EM) log likelihood = -28337.398
Iteration 61: (EM) log likelihood = -28323.059
Iteration 62: (EM) log likelihood = -28308.457
Iteration 63: (EM) log likelihood = -28294.043
Iteration 64: (EM) log likelihood = -28279.078
Iteration 65: (EM) log likelihood = -28264.311
Iteration 66: (EM) log likelihood = -28249.326
Iteration 67: (EM) log likelihood = -28234.16
Iteration 68: (EM) log likelihood = -28219.648
Iteration 69: (EM) log likelihood = -28205.222
Iteration 70: (EM) log likelihood = -28190.135
Iteration 71: (EM) log likelihood = -28176.757
Iteration 72: (EM) log likelihood = -28162.343
Iteration 73: (EM) log likelihood = -28148.731
Iteration 74: (EM) log likelihood = -28133.449
Iteration 75: (EM) log likelihood = -28120.426
Iteration 76: (EM) log likelihood = -28108.701
Iteration 77: (EM) log likelihood = -28099.832
Iteration 78: (EM) log likelihood = -28090.05
Iteration 79: (EM) log likelihood = -28081.546
Iteration 80: (EM) log likelihood = -28074.062
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.9446
Iteration 1: (class) log likelihood = -7370.9446
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30232.495
Iteration 1: (outcome) log likelihood = -29304.836
Iteration 2: (outcome) log likelihood = -29140.801
Iteration 3: (outcome) log likelihood = -29109.671
Iteration 4: (outcome) log likelihood = -29102.396
Iteration 5: (outcome) log likelihood = -29100.953
Iteration 6: (outcome) log likelihood = -29100.701
Iteration 7: (outcome) log likelihood = -29100.643
Iteration 8: (outcome) log likelihood = -29100.629
Iteration 9: (outcome) log likelihood = -29100.626
Iteration 10: (outcome) log likelihood = -29100.626
Iteration 11: (outcome) log likelihood = -29100.626
Iteration 12: (outcome) log likelihood = -29100.626
Refining starting values:
Iteration 0: (EM) log likelihood = -36442.233
Iteration 1: (EM) log likelihood = -36328.535
Iteration 2: (EM) log likelihood = -35932.858
Iteration 3: (EM) log likelihood = -34958.236
Iteration 4: (EM) log likelihood = -33804.355
Iteration 5: (EM) log likelihood = -32942.43
Iteration 6: (EM) log likelihood = -32301.556
Iteration 7: (EM) log likelihood = -31782.484
Iteration 8: (EM) log likelihood = -31367.044
Iteration 9: (EM) log likelihood = -31043.598
Iteration 10: (EM) log likelihood = -30785.306
Iteration 11: (EM) log likelihood = -30576.773
Iteration 12: (EM) log likelihood = -30405.734
Iteration 13: (EM) log likelihood = -30264.1
Iteration 14: (EM) log likelihood = -30145.898
Iteration 15: (EM) log likelihood = -30047.842
Iteration 16: (EM) log likelihood = -29960.813
Iteration 17: (EM) log likelihood = -29883.386
Iteration 18: (EM) log likelihood = -29808.756
Iteration 19: (EM) log likelihood = -29734.606
Iteration 20: (EM) log likelihood = -29663.655
Iteration 21: (EM) log likelihood = -29592.648
Iteration 22: (EM) log likelihood = -29522.893
Iteration 23: (EM) log likelihood = -29458.141
Iteration 24: (EM) log likelihood = -29398.323
Iteration 25: (EM) log likelihood = -29345.761
Iteration 26: (EM) log likelihood = -29301.551
Iteration 27: (EM) log likelihood = -29262.897
Iteration 28: (EM) log likelihood = -29229.404
Iteration 29: (EM) log likelihood = -29200.87
Iteration 30: (EM) log likelihood = -29174.133
Iteration 31: (EM) log likelihood = -29151.202
Iteration 32: (EM) log likelihood = -29131.369
Iteration 33: (EM) log likelihood = -29113.336
Iteration 34: (EM) log likelihood = -29096.547
Iteration 35: (EM) log likelihood = -29081.536
Iteration 36: (EM) log likelihood = -29067.195
Iteration 37: (EM) log likelihood = -29053.222
Iteration 38: (EM) log likelihood = -29039.803
Iteration 39: (EM) log likelihood = -29027.683
Iteration 40: (EM) log likelihood = -29014.757
Iteration 41: (EM) log likelihood = -29002.02
Iteration 42: (EM) log likelihood = -28989.13
Iteration 43: (EM) log likelihood = -28976.738
Iteration 44: (EM) log likelihood = -28965.577
Iteration 45: (EM) log likelihood = -28953.168
Iteration 46: (EM) log likelihood = -28940.98
Iteration 47: (EM) log likelihood = -28929.525
Iteration 48: (EM) log likelihood = -28916.567
Iteration 49: (EM) log likelihood = -28905.253
Iteration 50: (EM) log likelihood = -28892.212
Iteration 51: (EM) log likelihood = -28878.832
Iteration 52: (EM) log likelihood = -28865.011
Iteration 53: (EM) log likelihood = -28853.181
Iteration 54: (EM) log likelihood = -28840.917
Iteration 55: (EM) log likelihood = -28828.546
Iteration 56: (EM) log likelihood = -28814.895
Iteration 57: (EM) log likelihood = -28799.937
Iteration 58: (EM) log likelihood = -28787.212
Iteration 59: (EM) log likelihood = -28774.456
Iteration 60: (EM) log likelihood = -28760.873
Iteration 61: (EM) log likelihood = -28748.878
Iteration 62: (EM) log likelihood = -28737.142
Iteration 63: (EM) log likelihood = -28725.711
Iteration 64: (EM) log likelihood = -28714.694
Iteration 65: (EM) log likelihood = -28703.945
Iteration 66: (EM) log likelihood = -28693.624
Iteration 67: (EM) log likelihood = -28683.341
Iteration 68: (EM) log likelihood = -28673.149
Iteration 69: (EM) log likelihood = -28664.164
Iteration 70: (EM) log likelihood = -28655.408
Iteration 71: (EM) log likelihood = -28647.086
Iteration 72: (EM) log likelihood = -28638.878
Iteration 73: (EM) log likelihood = -28630.973
Iteration 74: (EM) log likelihood = -28621.107
Iteration 75: (EM) log likelihood = -28618.347
Iteration 76: (EM) log likelihood = -28611.744
Iteration 77: (EM) log likelihood = -28603.44
Iteration 78: (EM) log likelihood = -28598.978
Iteration 79: (EM) log likelihood = -28591.397
Iteration 80: (EM) log likelihood = -28577.2
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7371.826
Iteration 1: (class) log likelihood = -7371.826
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29313.251
Iteration 1: (outcome) log likelihood = -29164.167
Iteration 2: (outcome) log likelihood = -29111.419
Iteration 3: (outcome) log likelihood = -29105.454
Iteration 4: (outcome) log likelihood = -29104.222
Iteration 5: (outcome) log likelihood = -29103.959
Iteration 6: (outcome) log likelihood = -29103.9
Iteration 7: (outcome) log likelihood = -29103.886
Iteration 8: (outcome) log likelihood = -29103.883
Iteration 9: (outcome) log likelihood = -29103.882
Iteration 10: (outcome) log likelihood = -29103.882
Iteration 11: (outcome) log likelihood = -29103.882
Refining starting values:
Iteration 0: (EM) log likelihood = -36459.481
Iteration 1: (EM) log likelihood = -36382.286
Iteration 2: (EM) log likelihood = -36104.602
Iteration 3: (EM) log likelihood = -35313.446
Iteration 4: (EM) log likelihood = -34099.281
Iteration 5: (EM) log likelihood = -33117.224
Iteration 6: (EM) log likelihood = -32412.137
Iteration 7: (EM) log likelihood = -31874.375
Iteration 8: (EM) log likelihood = -31475.903
Iteration 9: (EM) log likelihood = -31178.347
Iteration 10: (EM) log likelihood = -30948.692
Iteration 11: (EM) log likelihood = -30760.416
Iteration 12: (EM) log likelihood = -30597.017
Iteration 13: (EM) log likelihood = -30447.978
Iteration 14: (EM) log likelihood = -30311.826
Iteration 15: (EM) log likelihood = -30188.051
Iteration 16: (EM) log likelihood = -30082.024
Iteration 17: (EM) log likelihood = -29992.742
Iteration 18: (EM) log likelihood = -29918.921
Iteration 19: (EM) log likelihood = -29857.15
Iteration 20: (EM) log likelihood = -29807.373
Iteration 21: (EM) log likelihood = -29770.198
Iteration 22: (EM) log likelihood = -29742.642
Iteration 23: (EM) log likelihood = -29717.791
Iteration 24: (EM) log likelihood = -29696.159
Iteration 25: (EM) log likelihood = -29677.396
Iteration 26: (EM) log likelihood = -29660.149
Iteration 27: (EM) log likelihood = -29645.232
Iteration 28: (EM) log likelihood = -29629.491
Iteration 29: (EM) log likelihood = -29614.368
Iteration 30: (EM) log likelihood = -29600.537
Iteration 31: (EM) log likelihood = -29584.79
Iteration 32: (EM) log likelihood = -29570.666
Iteration 33: (EM) log likelihood = -29556.02
Iteration 34: (EM) log likelihood = -29539.648
Iteration 35: (EM) log likelihood = -29524.451
Iteration 36: (EM) log likelihood = -29508.04
Iteration 37: (EM) log likelihood = -29491.182
Iteration 38: (EM) log likelihood = -29473.513
Iteration 39: (EM) log likelihood = -29454.945
Iteration 40: (EM) log likelihood = -29433.438
Iteration 41: (EM) log likelihood = -29412.76
Iteration 42: (EM) log likelihood = -29392.837
Iteration 43: (EM) log likelihood = -29372.278
Iteration 44: (EM) log likelihood = -29351.618
Iteration 45: (EM) log likelihood = -29329.255
Iteration 46: (EM) log likelihood = -29308.661
Iteration 47: (EM) log likelihood = -29288.239
Iteration 48: (EM) log likelihood = -29265.796
Iteration 49: (EM) log likelihood = -29245.174
Iteration 50: (EM) log likelihood = -29225.02
Iteration 51: (EM) log likelihood = -29205.011
Iteration 52: (EM) log likelihood = -29185.19
Iteration 53: (EM) log likelihood = -29165.305
Iteration 54: (EM) log likelihood = -29146.952
Iteration 55: (EM) log likelihood = -29129.525
Iteration 56: (EM) log likelihood = -29113.25
Iteration 57: (EM) log likelihood = -29096.712
Iteration 58: (EM) log likelihood = -29080.51
Iteration 59: (EM) log likelihood = -29063.514
Iteration 60: (EM) log likelihood = -29048.548
Iteration 61: (EM) log likelihood = -29032.94
Iteration 62: (EM) log likelihood = -29019.108
Iteration 63: (EM) log likelihood = -29006.145
Iteration 64: (EM) log likelihood = -28993.649
Iteration 65: (EM) log likelihood = -28981.519
Iteration 66: (EM) log likelihood = -28970.146
Iteration 67: (EM) log likelihood = -28959.109
Iteration 68: (EM) log likelihood = -28948.15
Iteration 69: (EM) log likelihood = -28938.573
Iteration 70: (EM) log likelihood = -28929.278
Iteration 71: (EM) log likelihood = -28920.181
Iteration 72: (EM) log likelihood = -28911.145
Iteration 73: (EM) log likelihood = -28903.034
Iteration 74: (EM) log likelihood = -28894.86
Iteration 75: (EM) log likelihood = -28887.791
Iteration 76: (EM) log likelihood = -28880.295
Iteration 77: (EM) log likelihood = -28873.123
Iteration 78: (EM) log likelihood = -28866.831
Iteration 79: (EM) log likelihood = -28859.954
Iteration 80: (EM) log likelihood = -28853.409
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.4513
Iteration 1: (class) log likelihood = -7370.4513
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29986.804
Iteration 1: (outcome) log likelihood = -29283.321
Iteration 2: (outcome) log likelihood = -29128.698
Iteration 3: (outcome) log likelihood = -29102.221
Iteration 4: (outcome) log likelihood = -29095.75
Iteration 5: (outcome) log likelihood = -29094.422
Iteration 6: (outcome) log likelihood = -29094.14
Iteration 7: (outcome) log likelihood = -29094.077
Iteration 8: (outcome) log likelihood = -29094.061
Iteration 9: (outcome) log likelihood = -29094.058
Iteration 10: (outcome) log likelihood = -29094.057
Iteration 11: (outcome) log likelihood = -29094.057
Iteration 12: (outcome) log likelihood = -29094.057
Refining starting values:
Iteration 0: (EM) log likelihood = -36436.373
Iteration 1: (EM) log likelihood = -36325.497
Iteration 2: (EM) log likelihood = -36002.223
Iteration 3: (EM) log likelihood = -35291.985
Iteration 4: (EM) log likelihood = -34267.803
Iteration 5: (EM) log likelihood = -33254.028
Iteration 6: (EM) log likelihood = -32416.128
Iteration 7: (EM) log likelihood = -31763.376
Iteration 8: (EM) log likelihood = -31287.944
Iteration 9: (EM) log likelihood = -30923.754
Iteration 10: (EM) log likelihood = -30613.405
Iteration 11: (EM) log likelihood = -30347.135
Iteration 12: (EM) log likelihood = -30129.222
Iteration 13: (EM) log likelihood = -29953.181
Iteration 14: (EM) log likelihood = -29815.075
Iteration 15: (EM) log likelihood = -29709.406
Iteration 16: (EM) log likelihood = -29624.175
Iteration 17: (EM) log likelihood = -29556.62
Iteration 18: (EM) log likelihood = -29501.232
Iteration 19: (EM) log likelihood = -29455.498
Iteration 20: (EM) log likelihood = -29409.84
Iteration 21: (EM) log likelihood = -29372.619
Iteration 22: (EM) log likelihood = -29342.265
Iteration 23: (EM) log likelihood = -29315.451
Iteration 24: (EM) log likelihood = -29292.698
Iteration 25: (EM) log likelihood = -29271.611
Iteration 26: (EM) log likelihood = -29252.831
Iteration 27: (EM) log likelihood = -29237.06
Iteration 28: (EM) log likelihood = -29219.015
Iteration 29: (EM) log likelihood = -29207.833
Iteration 30: (EM) log likelihood = -29196.66
Iteration 31: (EM) log likelihood = -29185.774
Iteration 32: (EM) log likelihood = -29178.99
Iteration 33: (EM) log likelihood = -29171.178
Iteration 34: (EM) log likelihood = -29164.965
Iteration 35: (EM) log likelihood = -29158.401
Iteration 36: (EM) log likelihood = -29152.455
Iteration 37: (EM) log likelihood = -29147.142
Iteration 38: (EM) log likelihood = -29142.102
Iteration 39: (EM) log likelihood = -29137.384
Iteration 40: (EM) log likelihood = -29133.513
Iteration 41: (EM) log likelihood = -29129.784
Iteration 42: (EM) log likelihood = -29124.178
Iteration 43: (EM) log likelihood = -29120.709
Iteration 44: (EM) log likelihood = -29119.384
Iteration 45: (EM) log likelihood = -29113.291
Iteration 46: (EM) log likelihood = -29109.265
Iteration 47: (EM) log likelihood = -29103.646
Iteration 48: (EM) log likelihood = -29096.903
Iteration 49: (EM) log likelihood = -29091.418
Iteration 50: (EM) log likelihood = -29084.096
Iteration 51: (EM) log likelihood = -29077.047
Iteration 52: (EM) log likelihood = -29067.531
Iteration 53: (EM) log likelihood = -29055.184
Iteration 54: (EM) log likelihood = -29041.56
Iteration 55: (EM) log likelihood = -29021.059
Iteration 56: (EM) log likelihood = -28996.337
Iteration 57: (EM) log likelihood = -28963.816
Iteration 58: (EM) log likelihood = -28918.049
Iteration 59: (EM) log likelihood = -28863.995
Iteration 60: (EM) log likelihood = -28808.356
Iteration 61: (EM) log likelihood = -28750.747
Iteration 62: (EM) log likelihood = -28693.982
Iteration 63: (EM) log likelihood = -28641.544
Iteration 64: (EM) log likelihood = -28593.539
Iteration 65: (EM) log likelihood = -28548.605
Iteration 66: (EM) log likelihood = -28507.687
Iteration 67: (EM) log likelihood = -28469.811
Iteration 68: (EM) log likelihood = -28437.755
Iteration 69: (EM) log likelihood = -28409.302
Iteration 70: (EM) log likelihood = -28380.977
Iteration 71: (EM) log likelihood = -28357.435
Iteration 72: (EM) log likelihood = -28335.522
Iteration 73: (EM) log likelihood = -28317.551
Iteration 74: (EM) log likelihood = -28300.041
Iteration 75: (EM) log likelihood = -28283.138
Iteration 76: (EM) log likelihood = -28272.36
Iteration 77: (EM) log likelihood = -28259.774
Iteration 78: (EM) log likelihood = -28248.77
Iteration 79: (EM) log likelihood = -28239.478
Iteration 80: (EM) log likelihood = -28229.962
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7372.6467
Iteration 1: (class) log likelihood = -7372.6467
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29266.83
Iteration 1: (outcome) log likelihood = -29148.842
Iteration 2: (outcome) log likelihood = -29114.071
Iteration 3: (outcome) log likelihood = -29107.62
Iteration 4: (outcome) log likelihood = -29106.388
Iteration 5: (outcome) log likelihood = -29106.124
Iteration 6: (outcome) log likelihood = -29106.061
Iteration 7: (outcome) log likelihood = -29106.047
Iteration 8: (outcome) log likelihood = -29106.044
Iteration 9: (outcome) log likelihood = -29106.043
Iteration 10: (outcome) log likelihood = -29106.043
Iteration 11: (outcome) log likelihood = -29106.043
Refining starting values:
Iteration 0: (EM) log likelihood = -36433.583
Iteration 1: (EM) log likelihood = -36249.631
Iteration 2: (EM) log likelihood = -35720.622
Iteration 3: (EM) log likelihood = -34803.818
Iteration 4: (EM) log likelihood = -33882.657
Iteration 5: (EM) log likelihood = -33176.196
Iteration 6: (EM) log likelihood = -32616.005
Iteration 7: (EM) log likelihood = -32133.893
Iteration 8: (EM) log likelihood = -31710.169
Iteration 9: (EM) log likelihood = -31334.081
Iteration 10: (EM) log likelihood = -31016.792
Iteration 11: (EM) log likelihood = -30779.872
Iteration 12: (EM) log likelihood = -30609.963
Iteration 13: (EM) log likelihood = -30492.629
Iteration 14: (EM) log likelihood = -30405.488
Iteration 15: (EM) log likelihood = -30331.843
Iteration 16: (EM) log likelihood = -30267.331
Iteration 17: (EM) log likelihood = -30204.579
Iteration 18: (EM) log likelihood = -30141.146
Iteration 19: (EM) log likelihood = -30076.887
Iteration 20: (EM) log likelihood = -30013.927
Iteration 21: (EM) log likelihood = -29953.458
Iteration 22: (EM) log likelihood = -29897.892
Iteration 23: (EM) log likelihood = -29846.953
Iteration 24: (EM) log likelihood = -29801.012
Iteration 25: (EM) log likelihood = -29757.773
Iteration 26: (EM) log likelihood = -29715.987
Iteration 27: (EM) log likelihood = -29674.499
Iteration 28: (EM) log likelihood = -29634.313
Iteration 29: (EM) log likelihood = -29595.611
Iteration 30: (EM) log likelihood = -29558.474
Iteration 31: (EM) log likelihood = -29522.35
Iteration 32: (EM) log likelihood = -29487.045
Iteration 33: (EM) log likelihood = -29453.6
Iteration 34: (EM) log likelihood = -29421.629
Iteration 35: (EM) log likelihood = -29390.723
Iteration 36: (EM) log likelihood = -29361.92
Iteration 37: (EM) log likelihood = -29335.29
Iteration 38: (EM) log likelihood = -29309.57
Iteration 39: (EM) log likelihood = -29285.536
Iteration 40: (EM) log likelihood = -29264.694
Iteration 41: (EM) log likelihood = -29244.96
Iteration 42: (EM) log likelihood = -29223.646
Iteration 43: (EM) log likelihood = -29206.053
Iteration 44: (EM) log likelihood = -29188.255
Iteration 45: (EM) log likelihood = -29171.452
Iteration 46: (EM) log likelihood = -29155.192
Iteration 47: (EM) log likelihood = -29139.309
Iteration 48: (EM) log likelihood = -29123.966
Iteration 49: (EM) log likelihood = -29108.992
Iteration 50: (EM) log likelihood = -29093.27
Iteration 51: (EM) log likelihood = -29078.289
Iteration 52: (EM) log likelihood = -29064.496
Iteration 53: (EM) log likelihood = -29051.563
Iteration 54: (EM) log likelihood = -29039.777
Iteration 55: (EM) log likelihood = -29030.003
Iteration 56: (EM) log likelihood = -29020.916
Iteration 57: (EM) log likelihood = -29012.889
Iteration 58: (EM) log likelihood = -29007.948
Iteration 59: (EM) log likelihood = -29000.31
Iteration 60: (EM) log likelihood = -28994.899
Iteration 61: (EM) log likelihood = -28990.024
Iteration 62: (EM) log likelihood = -28986.132
Iteration 63: (EM) log likelihood = -28980.418
Iteration 64: (EM) log likelihood = -28976.627
Iteration 65: (EM) log likelihood = -28973.38
Iteration 66: (EM) log likelihood = -28967.552
Iteration 67: (EM) log likelihood = -28964.767
Iteration 68: (EM) log likelihood = -28961.881
Iteration 69: (EM) log likelihood = -28958.753
Iteration 70: (EM) log likelihood = -28956.214
Iteration 71: (EM) log likelihood = -28953.562
Iteration 72: (EM) log likelihood = -28948.318
Iteration 73: (EM) log likelihood = -28944.314
Iteration 74: (EM) log likelihood = -28941.533
Iteration 75: (EM) log likelihood = -28939.417
Iteration 76: (EM) log likelihood = -28937.351
Iteration 77: (EM) log likelihood = -28935.139
Iteration 78: (EM) log likelihood = -28932.838
Iteration 79: (EM) log likelihood = -28931.96
Iteration 80: (EM) log likelihood = -28929.181
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7370.4606
Iteration 1: (class) log likelihood = -7370.4606
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29636.065
Iteration 1: (outcome) log likelihood = -29170.445
Iteration 2: (outcome) log likelihood = -29125.221
Iteration 3: (outcome) log likelihood = -29109.68
Iteration 4: (outcome) log likelihood = -29106.871
Iteration 5: (outcome) log likelihood = -29106.157
Iteration 6: (outcome) log likelihood = -29106.033
Iteration 7: (outcome) log likelihood = -29106.005
Iteration 8: (outcome) log likelihood = -29105.998
Iteration 9: (outcome) log likelihood = -29105.996
Iteration 10: (outcome) log likelihood = -29105.996
Iteration 11: (outcome) log likelihood = -29105.996
Iteration 12: (outcome) log likelihood = -29105.996
Refining starting values:
Iteration 0: (EM) log likelihood = -36454.777
Iteration 1: (EM) log likelihood = -36362.225
Iteration 2: (EM) log likelihood = -36049.747
Iteration 3: (EM) log likelihood = -35287.719
Iteration 4: (EM) log likelihood = -34257.785
Iteration 5: (EM) log likelihood = -33353.565
Iteration 6: (EM) log likelihood = -32627.093
Iteration 7: (EM) log likelihood = -32030.591
Iteration 8: (EM) log likelihood = -31538.122
Iteration 9: (EM) log likelihood = -31153.965
Iteration 10: (EM) log likelihood = -30870.227
Iteration 11: (EM) log likelihood = -30661.26
Iteration 12: (EM) log likelihood = -30502.318
Iteration 13: (EM) log likelihood = -30375.64
Iteration 14: (EM) log likelihood = -30272.327
Iteration 15: (EM) log likelihood = -30180.085
Iteration 16: (EM) log likelihood = -30097.335
Iteration 17: (EM) log likelihood = -30016.938
Iteration 18: (EM) log likelihood = -29940.757
Iteration 19: (EM) log likelihood = -29869.382
Iteration 20: (EM) log likelihood = -29804.292
Iteration 21: (EM) log likelihood = -29744.925
Iteration 22: (EM) log likelihood = -29692.192
Iteration 23: (EM) log likelihood = -29644.001
Iteration 24: (EM) log likelihood = -29600.574
Iteration 25: (EM) log likelihood = -29561.416
Iteration 26: (EM) log likelihood = -29525.937
Iteration 27: (EM) log likelihood = -29491.843
Iteration 28: (EM) log likelihood = -29459.646
Iteration 29: (EM) log likelihood = -29427.787
Iteration 30: (EM) log likelihood = -29398.067
Iteration 31: (EM) log likelihood = -29366.752
Iteration 32: (EM) log likelihood = -29335.716
Iteration 33: (EM) log likelihood = -29306.497
Iteration 34: (EM) log likelihood = -29276.463
Iteration 35: (EM) log likelihood = -29247.173
Iteration 36: (EM) log likelihood = -29217.881
Iteration 37: (EM) log likelihood = -29188.732
Iteration 38: (EM) log likelihood = -29157.855
Iteration 39: (EM) log likelihood = -29127.757
Iteration 40: (EM) log likelihood = -29096.471
Iteration 41: (EM) log likelihood = -29063.189
Iteration 42: (EM) log likelihood = -29030.742
Iteration 43: (EM) log likelihood = -28996.944
Iteration 44: (EM) log likelihood = -28963.345
Iteration 45: (EM) log likelihood = -28928.948
Iteration 46: (EM) log likelihood = -28894.434
Iteration 47: (EM) log likelihood = -28859.786
Iteration 48: (EM) log likelihood = -28824.951
Iteration 49: (EM) log likelihood = -28790.907
Iteration 50: (EM) log likelihood = -28756.172
Iteration 51: (EM) log likelihood = -28721.027
Iteration 52: (EM) log likelihood = -28686.808
Iteration 53: (EM) log likelihood = -28653.333
Iteration 54: (EM) log likelihood = -28620.552
Iteration 55: (EM) log likelihood = -28589.308
Iteration 56: (EM) log likelihood = -28560.767
Iteration 57: (EM) log likelihood = -28534.71
Iteration 58: (EM) log likelihood = -28511.291
Iteration 59: (EM) log likelihood = -28490.53
Iteration 60: (EM) log likelihood = -28472.573
Iteration 61: (EM) log likelihood = -28456.147
Iteration 62: (EM) log likelihood = -28441.132
Iteration 63: (EM) log likelihood = -28428.284
Iteration 64: (EM) log likelihood = -28416.631
Iteration 65: (EM) log likelihood = -28406.434
Iteration 66: (EM) log likelihood = -28396.587
Iteration 67: (EM) log likelihood = -28387.834
Iteration 68: (EM) log likelihood = -28378.671
Iteration 69: (EM) log likelihood = -28370.326
Iteration 70: (EM) log likelihood = -28361.798
Iteration 71: (EM) log likelihood = -28353.882
Iteration 72: (EM) log likelihood = -28345.236
Iteration 73: (EM) log likelihood = -28336.76
Iteration 74: (EM) log likelihood = -28329.3
Iteration 75: (EM) log likelihood = -28320.156
Iteration 76: (EM) log likelihood = -28310.78
Iteration 77: (EM) log likelihood = -28301.217
Iteration 78: (EM) log likelihood = -28289.645
Iteration 79: (EM) log likelihood = -28277.48
Iteration 80: (EM) log likelihood = -28264.71
Note: EM algorithm reached maximum iterations.
Fitting full model:
Iteration 0: log likelihood = -26931.292 (not concave)
Iteration 1: log likelihood = -26931.276 (not concave)
Iteration 2: log likelihood = -26930.898 (not concave)
Iteration 3: log likelihood = -26930.748 (not concave)
Iteration 4: log likelihood = -26930.065 (not concave)
Iteration 5: log likelihood = -26929.875 (not concave)
Iteration 6: log likelihood = -26929.282 (not concave)
Iteration 7: log likelihood = -26929.103 (not concave)
Iteration 8: log likelihood = -26928.859 (not concave)
Iteration 9: log likelihood = -26928.651 (not concave)
Iteration 10: log likelihood = -26928.474 (not concave)
Iteration 11: log likelihood = -26928.337 (not concave)
Iteration 12: log likelihood = -26928.22 (not concave)
Iteration 13: log likelihood = -26928.123 (not concave)
Iteration 14: log likelihood = -26928.028 (not concave)
Iteration 15: log likelihood = -26927.948 (not concave)
Iteration 16: log likelihood = -26927.872 (not concave)
Iteration 17: log likelihood = -26927.798 (not concave)
Iteration 18: log likelihood = -26927.729 (not concave)
Iteration 19: log likelihood = -26927.664 (not concave)
Iteration 20: log likelihood = -26927.601 (not concave)
Iteration 21: log likelihood = -26927.54 (not concave)
Iteration 22: log likelihood = -26927.481 (not concave)
Iteration 23: log likelihood = -26927.424 (not concave)
Iteration 24: log likelihood = -26927.368 (not concave)
Iteration 25: log likelihood = -26927.313 (not concave)
Iteration 26: log likelihood = -26927.258 (not concave)
Iteration 27: log likelihood = -26927.204 (not concave)
Iteration 28: log likelihood = -26927.151 (not concave)
Iteration 29: log likelihood = -26927.098 (not concave)
Iteration 30: log likelihood = -26927.045 (not concave)
Iteration 31: log likelihood = -26926.992 (not concave)
Iteration 32: log likelihood = -26926.939 (not concave)
Iteration 33: log likelihood = -26926.886 (not concave)
Iteration 34: log likelihood = -26926.833 (not concave)
Iteration 35: log likelihood = -26926.78 (not concave)
Iteration 36: log likelihood = -26926.727 (not concave)
Iteration 37: log likelihood = -26926.673 (not concave)
Iteration 38: log likelihood = -26926.619 (not concave)
Iteration 39: log likelihood = -26926.565 (not concave)
Iteration 40: log likelihood = -26926.511 (not concave)
Iteration 41: log likelihood = -26926.456 (not concave)
Iteration 42: log likelihood = -26926.4 (not concave)
Iteration 43: log likelihood = -26926.345 (not concave)
Iteration 44: log likelihood = -26926.288 (not concave)
Iteration 45: log likelihood = -26926.232 (not concave)
Iteration 46: log likelihood = -26926.175 (not concave)
Iteration 47: log likelihood = -26926.118 (not concave)
Iteration 48: log likelihood = -26926.06 (not concave)
Iteration 49: log likelihood = -26926.003 (not concave)
Iteration 50: log likelihood = -26925.945 (not concave)
Iteration 51: log likelihood = -26925.888 (not concave)
Iteration 52: log likelihood = -26925.83 (not concave)
Iteration 53: log likelihood = -26925.772 (not concave)
Iteration 54: log likelihood = -26925.713 (not concave)
Iteration 55: log likelihood = -26925.655 (not concave)
Iteration 56: log likelihood = -26925.597 (not concave)
Iteration 57: log likelihood = -26925.539 (not concave)
Iteration 58: log likelihood = -26925.482 (not concave)
Iteration 59: log likelihood = -26925.425 (not concave)
Iteration 60: log likelihood = -26925.369 (not concave)
Iteration 61: log likelihood = -26925.314 (not concave)
Iteration 62: log likelihood = -26925.259 (not concave)
Iteration 63: log likelihood = -26925.204 (not concave)
Iteration 64: log likelihood = -26925.15 (not concave)
Iteration 65: log likelihood = -26925.095 (not concave)
Iteration 66: log likelihood = -26925.042 (not concave)
Iteration 67: log likelihood = -26924.988 (not concave)
Iteration 68: log likelihood = -26924.935 (not concave)
Iteration 69: log likelihood = -26924.882 (not concave)
Iteration 70: log likelihood = -26924.829 (not concave)
Iteration 71: log likelihood = -26924.777 (not concave)
Iteration 72: log likelihood = -26924.726 (not concave)
Iteration 73: log likelihood = -26924.676 (not concave)
Iteration 74: log likelihood = -26924.626 (not concave)
Iteration 75: log likelihood = -26924.578 (not concave)
Iteration 76: log likelihood = -26924.533 (not concave)
Iteration 77: log likelihood = -26924.489 (not concave)
Iteration 78: log likelihood = -26924.449 (not concave)
Iteration 79: log likelihood = -26924.413 (not concave)
Iteration 80: log likelihood = -26924.381 (not concave)
Iteration 81: log likelihood = -26924.352 (not concave)
Iteration 82: log likelihood = -26924.325 (not concave)
Iteration 83: log likelihood = -26924.301 (not concave)
Iteration 84: log likelihood = -26924.28 (not concave)
Iteration 85: log likelihood = -26924.26 (not concave)
Iteration 86: log likelihood = -26924.241 (not concave)
Iteration 87: log likelihood = -26924.224 (not concave)
Iteration 88: log likelihood = -26924.208 (not concave)
Iteration 89: log likelihood = -26924.193 (not concave)
Iteration 90: log likelihood = -26924.178 (not concave)
Iteration 91: log likelihood = -26924.165 (not concave)
Iteration 92: log likelihood = -26924.152 (not concave)
Iteration 93: log likelihood = -26924.14 (not concave)
Iteration 94: log likelihood = -26924.128 (not concave)
Iteration 95: log likelihood = -26924.117 (not concave)
Iteration 96: log likelihood = -26924.106 (not concave)
Iteration 97: log likelihood = -26924.096 (not concave)
Iteration 98: log likelihood = -26924.086 (not concave)
Iteration 99: log likelihood = -26924.077 (not concave)
Iteration 100: log likelihood = -26924.068 (not concave)
Iteration 101: log likelihood = -26924.059 (not concave)
Iteration 102: log likelihood = -26924.051 (not concave)
Iteration 103: log likelihood = -26924.042 (not concave)
Iteration 104: log likelihood = -26924.034 (not concave)
Iteration 105: log likelihood = -26924.026 (not concave)
Iteration 106: log likelihood = -26924.019 (not concave)
Iteration 107: log likelihood = -26924.011 (not concave)
Iteration 108: log likelihood = -26924.004 (not concave)
Iteration 109: log likelihood = -26923.997 (not concave)
Iteration 110: log likelihood = -26923.99 (not concave)
Iteration 111: log likelihood = -26923.983 (not concave)
Iteration 112: log likelihood = -26923.976 (not concave)
Iteration 113: log likelihood = -26923.97 (not concave)
Iteration 114: log likelihood = -26923.963 (not concave)
Iteration 115: log likelihood = -26923.957 (not concave)
Iteration 116: log likelihood = -26923.95 (not concave)
Iteration 117: log likelihood = -26923.944 (not concave)
Iteration 118: log likelihood = -26923.938 (not concave)
Iteration 119: log likelihood = -26923.932 (not concave)
Iteration 120: log likelihood = -26923.926 (not concave)
Iteration 121: log likelihood = -26923.92 (not concave)
Iteration 122: log likelihood = -26923.914 (not concave)
Iteration 123: log likelihood = -26923.908 (not concave)
Iteration 124: log likelihood = -26923.903 (not concave)
Iteration 125: log likelihood = -26923.897 (not concave)
Iteration 126: log likelihood = -26923.891 (not concave)
Iteration 127: log likelihood = -26923.886 (not concave)
Iteration 128: log likelihood = -26923.88 (not concave)
Iteration 129: log likelihood = -26923.875 (not concave)
Iteration 130: log likelihood = -26923.869 (not concave)
Iteration 131: log likelihood = -26923.864 (not concave)
Iteration 132: log likelihood = -26923.859 (not concave)
Iteration 133: log likelihood = -26923.853 (not concave)
Iteration 134: log likelihood = -26923.848 (not concave)
Iteration 135: log likelihood = -26923.843 (not concave)
Iteration 136: log likelihood = -26923.838 (not concave)
Iteration 137: log likelihood = -26923.833 (not concave)
Iteration 138: log likelihood = -26923.827 (not concave)
Iteration 139: log likelihood = -26923.822 (not concave)
Iteration 140: log likelihood = -26923.817 (not concave)
Iteration 141: log likelihood = -26923.812 (not concave)
Iteration 142: log likelihood = -26923.807 (not concave)
Iteration 143: log likelihood = -26923.802 (not concave)
Iteration 144: log likelihood = -26923.797 (not concave)
Iteration 145: log likelihood = -26923.792 (not concave)
Iteration 146: log likelihood = -26923.787 (not concave)
Iteration 147: log likelihood = -26923.783 (not concave)
Iteration 148: log likelihood = -26923.778 (not concave)
Iteration 149: log likelihood = -26923.773 (not concave)
Iteration 150: log likelihood = -26923.768 (not concave)
Iteration 151: log likelihood = -26923.763 (not concave)
Iteration 152: log likelihood = -26923.759 (not concave)
Iteration 153: log likelihood = -26923.754 (not concave)
Iteration 154: log likelihood = -26923.749 (not concave)
Iteration 155: log likelihood = -26923.744 (not concave)
Iteration 156: log likelihood = -26923.74 (not concave)
Iteration 157: log likelihood = -26923.735 (not concave)
Iteration 158: log likelihood = -26923.73 (not concave)
Iteration 159: log likelihood = -26923.726 (not concave)
Iteration 160: log likelihood = -26923.721 (not concave)
Iteration 161: log likelihood = -26923.717 (not concave)
Iteration 162: log likelihood = -26923.712 (not concave)
Iteration 163: log likelihood = -26923.707 (not concave)
Iteration 164: log likelihood = -26923.703 (not concave)
Iteration 165: log likelihood = -26923.698 (not concave)
Iteration 166: log likelihood = -26923.694 (not concave)
Iteration 167: log likelihood = -26923.689 (not concave)
Iteration 168: log likelihood = -26923.685 (not concave)
Iteration 169: log likelihood = -26923.68 (not concave)
Iteration 170: log likelihood = -26923.676 (not concave)
Iteration 171: log likelihood = -26923.671 (not concave)
Iteration 172: log likelihood = -26923.667 (not concave)
Iteration 173: log likelihood = -26923.662 (not concave)
Iteration 174: log likelihood = -26923.658 (not concave)
Iteration 175: log likelihood = -26923.654 (not concave)
Iteration 176: log likelihood = -26923.649 (not concave)
Iteration 177: log likelihood = -26923.645 (not concave)
Iteration 178: log likelihood = -26923.64 (not concave)
Iteration 179: log likelihood = -26923.636 (not concave)
Iteration 180: log likelihood = -26923.632 (not concave)
Iteration 181: log likelihood = -26923.627 (not concave)
Iteration 182: log likelihood = -26923.623 (not concave)
Iteration 183: log likelihood = -26923.619 (not concave)
Iteration 184: log likelihood = -26923.614 (not concave)
Iteration 185: log likelihood = -26923.61 (not concave)
Iteration 186: log likelihood = -26923.606 (not concave)
Iteration 187: log likelihood = -26923.601 (not concave)
Iteration 188: log likelihood = -26923.597 (not concave)
Iteration 189: log likelihood = -26923.593 (not concave)
Iteration 190: log likelihood = -26923.588 (not concave)
Iteration 191: log likelihood = -26923.584 (not concave)
Iteration 192: log likelihood = -26923.58 (not concave)
Iteration 193: log likelihood = -26923.576 (not concave)
Iteration 194: log likelihood = -26923.571 (not concave)
Iteration 195: log likelihood = -26923.567 (not concave)
Iteration 196: log likelihood = -26923.563 (not concave)
Iteration 197: log likelihood = -26923.559 (not concave)
Iteration 198: log likelihood = -26923.554 (not concave)
Iteration 199: log likelihood = -26923.55 (not concave)
Iteration 200: log likelihood = -26923.546 (not concave)
Iteration 201: log likelihood = -26923.542 (not concave)
Iteration 202: log likelihood = -26923.538 (not concave)
Iteration 203: log likelihood = -26923.533 (not concave)
Iteration 204: log likelihood = -26923.529 (not concave)
Iteration 205: log likelihood = -26923.525 (not concave)
Iteration 206: log likelihood = -26923.521 (not concave)
Iteration 207: log likelihood = -26923.517 (not concave)
Iteration 208: log likelihood = -26923.512 (not concave)
Iteration 209: log likelihood = -26923.508 (not concave)
Iteration 210: log likelihood = -26923.504 (not concave)
Iteration 211: log likelihood = -26923.5 (not concave)
Iteration 212: log likelihood = -26923.496 (not concave)
Iteration 213: log likelihood = -26923.492 (not concave)
Iteration 214: log likelihood = -26923.487 (not concave)
Iteration 215: log likelihood = -26923.483 (not concave)
Iteration 216: log likelihood = -26923.479 (not concave)
Iteration 217: log likelihood = -26923.475 (not concave)
Iteration 218: log likelihood = -26923.471 (not concave)
Iteration 219: log likelihood = -26923.467 (not concave)
Iteration 220: log likelihood = -26923.463 (not concave)
Iteration 221: log likelihood = -26923.458 (not concave)
Iteration 222: log likelihood = -26923.454 (not concave)
Iteration 223: log likelihood = -26923.45 (not concave)
Iteration 224: log likelihood = -26923.446 (not concave)
Iteration 225: log likelihood = -26923.442 (not concave)
Iteration 226: log likelihood = -26923.438 (not concave)
Iteration 227: log likelihood = -26923.434 (not concave)
Iteration 228: log likelihood = -26923.43 (not concave)
Iteration 229: log likelihood = -26923.426 (not concave)
Iteration 230: log likelihood = -26923.421 (not concave)
Iteration 231: log likelihood = -26923.417 (not concave)
Iteration 232: log likelihood = -26923.413 (not concave)
Iteration 233: log likelihood = -26923.409 (not concave)
Iteration 234: log likelihood = -26923.405 (not concave)
Iteration 235: log likelihood = -26923.401 (not concave)
Iteration 236: log likelihood = -26923.397 (not concave)
Iteration 237: log likelihood = -26923.393 (not concave)
Iteration 238: log likelihood = -26923.389 (not concave)
Iteration 239: log likelihood = -26923.384 (not concave)
Iteration 240: log likelihood = -26923.38 (not concave)
Iteration 241: log likelihood = -26923.376 (not concave)
Iteration 242: log likelihood = -26923.372 (not concave)
Iteration 243: log likelihood = -26923.368 (not concave)
Iteration 244: log likelihood = -26923.364 (not concave)
Iteration 245: log likelihood = -26923.36 (not concave)
Iteration 246: log likelihood = -26923.356 (not concave)
Iteration 247: log likelihood = -26923.352 (not concave)
Iteration 248: log likelihood = -26923.348 (not concave)
Iteration 249: log likelihood = -26923.343 (not concave)
Iteration 250: log likelihood = -26923.339 (not concave)
Iteration 251: log likelihood = -26923.335 (not concave)
Iteration 252: log likelihood = -26923.331 (not concave)
Iteration 253: log likelihood = -26923.327 (not concave)
Iteration 254: log likelihood = -26923.323 (not concave)
Iteration 255: log likelihood = -26923.319 (not concave)
Iteration 256: log likelihood = -26923.315 (not concave)
Iteration 257: log likelihood = -26923.311 (not concave)
Iteration 258: log likelihood = -26923.307 (not concave)
Iteration 259: log likelihood = -26923.303 (not concave)
Iteration 260: log likelihood = -26923.298 (not concave)
Iteration 261: log likelihood = -26923.294 (not concave)
Iteration 262: log likelihood = -26923.29 (not concave)
Iteration 263: log likelihood = -26923.286 (not concave)
Iteration 264: log likelihood = -26923.282 (not concave)
Iteration 265: log likelihood = -26923.278 (not concave)
Iteration 266: log likelihood = -26923.274 (not concave)
Iteration 267: log likelihood = -26923.27 (not concave)
Iteration 268: log likelihood = -26923.266 (not concave)
Iteration 269: log likelihood = -26923.262 (not concave)
Iteration 270: log likelihood = -26923.257 (not concave)
Iteration 271: log likelihood = -26923.253 (not concave)
Iteration 272: log likelihood = -26923.249 (not concave)
Iteration 273: log likelihood = -26923.245 (not concave)
Iteration 274: log likelihood = -26923.241 (not concave)
Iteration 275: log likelihood = -26923.237 (not concave)
Iteration 276: log likelihood = -26923.233 (not concave)
Iteration 277: log likelihood = -26923.229 (not concave)
Iteration 278: log likelihood = -26923.225 (not concave)
Iteration 279: log likelihood = -26923.221 (not concave)
Iteration 280: log likelihood = -26923.216 (not concave)
Iteration 281: log likelihood = -26923.212 (not concave)
Iteration 282: log likelihood = -26923.208 (not concave)
Iteration 283: log likelihood = -26923.204 (not concave)
Iteration 284: log likelihood = -26923.2 (not concave)
Iteration 285: log likelihood = -26923.196 (not concave)
Iteration 286: log likelihood = -26923.192 (not concave)
Iteration 287: log likelihood = -26923.188 (not concave)
Iteration 288: log likelihood = -26923.183 (not concave)
Iteration 289: log likelihood = -26923.179 (not concave)
Iteration 290: log likelihood = -26923.175 (not concave)
Iteration 291: log likelihood = -26923.171 (not concave)
Iteration 292: log likelihood = -26923.167 (not concave)
Iteration 293: log likelihood = -26923.163 (not concave)
Iteration 294: log likelihood = -26923.159 (not concave)
Iteration 295: log likelihood = -26923.155 (not concave)
Iteration 296: log likelihood = -26923.15 (not concave)
Iteration 297: log likelihood = -26923.146 (not concave)
Iteration 298: log likelihood = -26923.142 (not concave)
Iteration 299: log likelihood = -26923.138 (not concave)
Iteration 300: log likelihood = -26923.134 (not concave)
Iteration 301: log likelihood = -26923.13 (not concave)
Iteration 302: log likelihood = -26923.126 (not concave)
Iteration 303: log likelihood = -26923.122 (not concave)
Iteration 304: log likelihood = -26923.117 (not concave)
Iteration 305: log likelihood = -26923.113 (not concave)
Iteration 306: log likelihood = -26923.109 (not concave)
Iteration 307: log likelihood = -26923.105 (not concave)
Iteration 308: log likelihood = -26923.101 (not concave)
Iteration 309: log likelihood = -26923.097 (not concave)
Iteration 310: log likelihood = -26923.092 (not concave)
Iteration 311: log likelihood = -26923.088 (not concave)
Iteration 312: log likelihood = -26923.084 (not concave)
Iteration 313: log likelihood = -26923.08 (not concave)
Iteration 314: log likelihood = -26923.076 (not concave)
Iteration 315: log likelihood = -26923.072 (not concave)
Iteration 316: log likelihood = -26923.067 (not concave)
Iteration 317: log likelihood = -26923.063 (not concave)
Iteration 318: log likelihood = -26923.059 (not concave)
Iteration 319: log likelihood = -26923.055 (not concave)
Iteration 320: log likelihood = -26923.051 (not concave)
Iteration 321: log likelihood = -26923.047 (not concave)
Iteration 322: log likelihood = -26923.042 (not concave)
Iteration 323: log likelihood = -26923.038 (not concave)
Iteration 324: log likelihood = -26923.034 (not concave)
Iteration 325: log likelihood = -26923.03 (not concave)
Iteration 326: log likelihood = -26923.026 (not concave)
Iteration 327: log likelihood = -26923.021 (not concave)
Iteration 328: log likelihood = -26923.017 (not concave)
Iteration 329: log likelihood = -26923.013 (not concave)
Iteration 330: log likelihood = -26923.009 (not concave)
Iteration 331: log likelihood = -26923.005 (not concave)
Iteration 332: log likelihood = -26923.001 (not concave)
Iteration 333: log likelihood = -26922.996 (not concave)
Iteration 334: log likelihood = -26922.992 (not concave)
Iteration 335: log likelihood = -26922.988 (not concave)
Iteration 336: log likelihood = -26922.984 (not concave)
Iteration 337: log likelihood = -26922.979 (not concave)
Iteration 338: log likelihood = -26922.975 (not concave)
Iteration 339: log likelihood = -26922.971 (not concave)
Iteration 340: log likelihood = -26922.967 (not concave)
Iteration 341: log likelihood = -26922.963 (not concave)
Iteration 342: log likelihood = -26922.958 (not concave)
Iteration 343: log likelihood = -26922.954 (not concave)
Iteration 344: log likelihood = -26922.95 (not concave)
Iteration 345: log likelihood = -26922.946 (not concave)
Iteration 346: log likelihood = -26922.941 (not concave)
Iteration 347: log likelihood = -26922.937 (not concave)
Iteration 348: log likelihood = -26922.933 (not concave)
Iteration 349: log likelihood = -26922.929 (not concave)
Iteration 350: log likelihood = -26922.924 (not concave)
Iteration 351: log likelihood = -26922.92 (not concave)
Iteration 352: log likelihood = -26922.916 (not concave)
Iteration 353: log likelihood = -26922.912 (not concave)
Iteration 354: log likelihood = -26922.907 (not concave)
Iteration 355: log likelihood = -26922.903 (not concave)
Iteration 356: log likelihood = -26922.899 (not concave)
Iteration 357: log likelihood = -26922.895 (not concave)
Iteration 358: log likelihood = -26922.89 (not concave)
Iteration 359: log likelihood = -26922.886 (not concave)
Iteration 360: log likelihood = -26922.882 (not concave)
Iteration 361: log likelihood = -26922.878 (not concave)
Iteration 362: log likelihood = -26922.873 (not concave)
Iteration 363: log likelihood = -26922.869 (not concave)
Iteration 364: log likelihood = -26922.865 (not concave)
Iteration 365: log likelihood = -26922.861 (not concave)
Iteration 366: log likelihood = -26922.856 (not concave)
Iteration 367: log likelihood = -26922.852 (not concave)
Iteration 368: log likelihood = -26922.848 (not concave)
Iteration 369: log likelihood = -26922.843 (not concave)
Iteration 370: log likelihood = -26922.839 (not concave)
Iteration 371: log likelihood = -26922.835 (not concave)
Iteration 372: log likelihood = -26922.83 (not concave)
Iteration 373: log likelihood = -26922.826 (not concave)
Iteration 374: log likelihood = -26922.822 (not concave)
Iteration 375: log likelihood = -26922.818 (not concave)
Iteration 376: log likelihood = -26922.813 (not concave)
Iteration 377: log likelihood = -26922.809 (not concave)
Iteration 378: log likelihood = -26922.805 (not concave)
Iteration 379: log likelihood = -26922.8 (not concave)
Iteration 380: log likelihood = -26922.796 (not concave)
Iteration 381: log likelihood = -26922.792 (not concave)
Iteration 382: log likelihood = -26922.787 (not concave)
Iteration 383: log likelihood = -26922.783 (not concave)
Iteration 384: log likelihood = -26922.779 (not concave)
Iteration 385: log likelihood = -26922.774 (not concave)
Iteration 386: log likelihood = -26922.77 (not concave)
Iteration 387: log likelihood = -26922.766 (not concave)
Iteration 388: log likelihood = -26922.761 (not concave)
Iteration 389: log likelihood = -26922.757 (not concave)
Iteration 390: log likelihood = -26922.753 (not concave)
Iteration 391: log likelihood = -26922.748 (not concave)
Iteration 392: log likelihood = -26922.744 (not concave)
Iteration 393: log likelihood = -26922.74 (not concave)
Iteration 394: log likelihood = -26922.735 (not concave)
Iteration 395: log likelihood = -26922.731 (not concave)
Iteration 396: log likelihood = -26922.726 (not concave)
Iteration 397: log likelihood = -26922.722 (not concave)
Iteration 398: log likelihood = -26922.718 (not concave)
Iteration 399: log likelihood = -26922.713 (not concave)
Iteration 400: log likelihood = -26922.709 (not concave)
Iteration 401: log likelihood = -26922.705 (not concave)
Iteration 402: log likelihood = -26922.7 (not concave)
Iteration 403: log likelihood = -26922.696 (not concave)
Iteration 404: log likelihood = -26922.691 (not concave)
Iteration 405: log likelihood = -26922.687 (not concave)
Iteration 406: log likelihood = -26922.683 (not concave)
Iteration 407: log likelihood = -26922.678 (not concave)
Iteration 408: log likelihood = -26922.674 (not concave)
Iteration 409: log likelihood = -26922.669 (not concave)
Iteration 410: log likelihood = -26922.665 (not concave)
Iteration 411: log likelihood = -26922.661 (not concave)
Iteration 412: log likelihood = -26922.656 (not concave)
Iteration 413: log likelihood = -26922.652 (not concave)
Iteration 414: log likelihood = -26922.647 (not concave)
Iteration 415: log likelihood = -26922.643 (not concave)
Iteration 416: log likelihood = -26922.639 (not concave)
Iteration 417: log likelihood = -26922.634 (not concave)
Iteration 418: log likelihood = -26922.63 (not concave)
Iteration 419: log likelihood = -26922.625 (not concave)
Iteration 420: log likelihood = -26922.621 (not concave)
Iteration 421: log likelihood = -26922.616 (not concave)
Iteration 422: log likelihood = -26922.612 (not concave)
Iteration 423: log likelihood = -26922.608 (not concave)
Iteration 424: log likelihood = -26922.603 (not concave)
Iteration 425: log likelihood = -26922.599 (not concave)
Iteration 426: log likelihood = -26922.594 (not concave)
Iteration 427: log likelihood = -26922.59 (not concave)
Iteration 428: log likelihood = -26922.585 (not concave)
Iteration 429: log likelihood = -26922.581 (not concave)
Iteration 430: log likelihood = -26922.576 (not concave)
Iteration 431: log likelihood = -26922.572 (not concave)
Iteration 432: log likelihood = -26922.567 (not concave)
Iteration 433: log likelihood = -26922.563 (not concave)
Iteration 434: log likelihood = -26922.558 (not concave)
Iteration 435: log likelihood = -26922.554 (not concave)
Iteration 436: log likelihood = -26922.55 (not concave)
Iteration 437: log likelihood = -26922.545 (not concave)
Iteration 438: log likelihood = -26922.541 (not concave)
Iteration 439: log likelihood = -26922.536 (not concave)
Iteration 440: log likelihood = -26922.532 (not concave)
Iteration 441: log likelihood = -26922.527 (not concave)
Iteration 442: log likelihood = -26922.523 (not concave)
Iteration 443: log likelihood = -26922.518 (not concave)
Iteration 444: log likelihood = -26922.514 (not concave)
Iteration 445: log likelihood = -26922.509 (not concave)
Iteration 446: log likelihood = -26922.505 (not concave)
Iteration 447: log likelihood = -26922.5 (not concave)
Iteration 448: log likelihood = -26922.496 (not concave)
Iteration 449: log likelihood = -26922.491 (not concave)
Iteration 450: log likelihood = -26922.486 (not concave)
Iteration 451: log likelihood = -26922.482 (not concave)
Iteration 452: log likelihood = -26922.477 (not concave)
Iteration 453: log likelihood = -26922.473 (not concave)
Iteration 454: log likelihood = -26922.468 (not concave)
Iteration 455: log likelihood = -26922.464 (not concave)
Iteration 456: log likelihood = -26922.459 (not concave)
Iteration 457: log likelihood = -26922.455 (not concave)
Iteration 458: log likelihood = -26922.45 (not concave)
Iteration 459: log likelihood = -26922.446 (not concave)
Iteration 460: log likelihood = -26922.441 (not concave)
Iteration 461: log likelihood = -26922.437 (not concave)
Iteration 462: log likelihood = -26922.432 (not concave)
Iteration 463: log likelihood = -26922.427 (not concave)
Iteration 464: log likelihood = -26922.423 (not concave)
Iteration 465: log likelihood = -26922.418 (not concave)
Iteration 466: log likelihood = -26922.414 (not concave)
Iteration 467: log likelihood = -26922.409 (not concave)
Iteration 468: log likelihood = -26922.405 (not concave)
Iteration 469: log likelihood = -26922.4 (not concave)
Iteration 470: log likelihood = -26922.395 (not concave)
Iteration 471: log likelihood = -26922.391 (not concave)
Iteration 472: log likelihood = -26922.386 (not concave)
Iteration 473: log likelihood = -26922.382 (not concave)
Iteration 474: log likelihood = -26922.377 (not concave)
Iteration 475: log likelihood = -26922.372 (not concave)
Iteration 476: log likelihood = -26922.368 (not concave)
Iteration 477: log likelihood = -26922.363 (not concave)
Iteration 478: log likelihood = -26922.359 (not concave)
Iteration 479: log likelihood = -26922.354 (not concave)
Iteration 480: log likelihood = -26922.349 (not concave)
Iteration 481: log likelihood = -26922.345 (not concave)
Iteration 482: log likelihood = -26922.34 (not concave)
Iteration 483: log likelihood = -26922.335 (not concave)
Iteration 484: log likelihood = -26922.331 (not concave)
Iteration 485: log likelihood = -26922.326 (not concave)
Iteration 486: log likelihood = -26922.322 (not concave)
Iteration 487: log likelihood = -26922.317 (not concave)
Iteration 488: log likelihood = -26922.312 (not concave)
Iteration 489: log likelihood = -26922.308 (not concave)
Iteration 490: log likelihood = -26922.303 (not concave)
Iteration 491: log likelihood = -26922.298 (not concave)
Iteration 492: log likelihood = -26922.294 (not concave)
Iteration 493: log likelihood = -26922.289 (not concave)
Iteration 494: log likelihood = -26922.284 (not concave)
Iteration 495: log likelihood = -26922.28 (not concave)
Iteration 496: log likelihood = -26922.275 (not concave)
Iteration 497: log likelihood = -26922.27 (not concave)
Iteration 498: log likelihood = -26922.266 (not concave)
Iteration 499: log likelihood = -26922.261 (not concave)
Iteration 500: log likelihood = -26922.256 (not concave)
convergence not achieved
Generalized structural equation model Number of obs = 3,789
Log likelihood = -26922.256
------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
1.C | (base outcome)
-------------+----------------------------------------------------------------
2.C |
_cons | -1.215223 .1359335 -8.94 0.000 -1.481648 -.9487983
-------------+----------------------------------------------------------------
3.C |
_cons | .0050969 .0732158 0.07 0.945 -.1384035 .1485973
-------------+----------------------------------------------------------------
4.C |
_cons | -.4951906 .1069969 -4.63 0.000 -.7049006 -.2854806
-------------+----------------------------------------------------------------
5.C |
_cons | .563299 .0885592 6.36 0.000 .3897262 .7368718
-------------+----------------------------------------------------------------
6.C |
_cons | -2.099602 .1402876 -14.97 0.000 -2.374561 -1.824643
-------------+----------------------------------------------------------------
7.C |
_cons | -.7598409 .1141097 -6.66 0.000 -.9834917 -.53619
------------------------------------------------------------------------------
Class : 1
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -3.207131 .5884382 -5.45 0.000 -4.360448 -2.053813
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -385.0915 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 16.69613 .50292 33.20 0.000 15.71043 17.68184
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 19.59314 .2620901 74.76 0.000 19.07946 20.10683
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 20.13408 .2549583 78.97 0.000 19.63437 20.63378
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 19.77915 .2585207 76.51 0.000 19.27246 20.28584
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 17.67827 . . . . .
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 2.344034 .1868898 12.54 0.000 1.977736 2.710331
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -1.404145 .3952528 -3.55 0.000 -2.178826 -.6294636
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 9.572424 8.295792 1.15 0.249 -6.687029 25.83188
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 7.558395 8.296311 0.91 0.362 -8.702076 23.81887
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | .9934075 .1779031 5.58 0.000 .6447238 1.342091
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.104468 .193532 5.71 0.000 .7251526 1.483784
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.86938 .1674992 11.16 0.000 1.541087 2.197672
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | -264.1731 . . . . .
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | -2.41917 1.208341 -2.00 0.045 -4.787474 -.0508655
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 7.00637 2.446514 2.86 0.004 2.211291 11.80145
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 6.113263 2.446728 2.50 0.012 1.317764 10.90876
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 6.142226 2.448292 2.51 0.012 1.343661 10.94079
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 5.642972 2.449721 2.30 0.021 .8416064 10.44434
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 5.95664 2.448158 2.43 0.015 1.158339 10.75494
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 5.559294 . . . . .
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 7.30452 .1756913 41.58 0.000 6.960171 7.648868
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 6.855948 .175953 38.96 0.000 6.511087 7.20081
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | -385.5305 . . . . .
--------------------------------------------------------------------------------------------
Class : 2
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -.8329454 .2449605 -3.40 0.001 -1.313059 -.3528316
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -4.929275 1.046208 -4.71 0.000 -6.979806 -2.878744
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | -.6970511 .5254222 -1.33 0.185 -1.72686 .3327575
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 1.408381 .3108044 4.53 0.000 .7992155 2.017546
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 1.493392 .3218963 4.64 0.000 .8624868 2.124297
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 1.250108 .3247782 3.85 0.000 .613554 1.886661
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | -.3861737 .5044323 -0.77 0.444 -1.374843 .6024955
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | -2.623931 .7889497 -3.33 0.001 -4.170244 -1.077618
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -352.8792 . . . . .
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 2.426922 .295408 8.22 0.000 1.847932 3.005911
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | .0455559 .4586586 0.10 0.921 -.8533984 .9445102
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | -314.9961 . . . . .
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | .9077395 .5010647 1.81 0.070 -.0743292 1.889808
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.633166 .4392512 3.72 0.000 .7722499 2.494083
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.812706 .4222839 4.29 0.000 .9850446 2.640367
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.805988 .4184543 4.32 0.000 .9858322 2.626143
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 1.779124 .4627003 3.85 0.000 .8722483 2.686
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 2.281325 .4157606 5.49 0.000 1.466449 3.0962
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 1.666187 .4462668 3.73 0.000 .7915207 2.540854
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 1.086301 .4744894 2.29 0.022 .156319 2.016283
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 1.788699 .4385223 4.08 0.000 .9292115 2.648187
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | .3434114 .6723668 0.51 0.610 -.9744032 1.661226
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 3.242207 .4772667 6.79 0.000 2.306782 4.177633
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 2.224687 .5020167 4.43 0.000 1.240753 3.208622
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | .6518871 .5737168 1.14 0.256 -.4725772 1.776351
--------------------------------------------------------------------------------------------
Class : 3
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -386.397 . . . . .
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | 6.371725 3.958618 1.61 0.107 -1.387024 14.13047
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 5.488173 1.00571 5.46 0.000 3.517017 7.459329
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 5.427406 1.005859 5.40 0.000 3.455959 7.398853
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 5.062517 1.006849 5.03 0.000 3.089129 7.035905
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 4.430808 1.009734 4.39 0.000 2.451766 6.40985
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 2.776426 1.034471 2.68 0.007 .7488997 4.803953
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.705145 .1056932 16.13 0.000 1.49799 1.9123
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -1.233959 .2042643 -6.04 0.000 -1.634309 -.833608
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 8.841599 3.485398 2.54 0.011 2.010343 15.67285
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 7.536085 3.486147 2.16 0.031 .7033631 14.36881
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.299843 .3682551 11.68 0.000 3.578076 5.02161
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.927396 .3749551 7.81 0.000 2.192497 3.662294
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | -363.4107 . . . . .
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | -348.5552 . . . . .
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | -367.071 . . . . .
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 4.597233 .5773539 7.96 0.000 3.46564 5.728825
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 3.614366 .5821806 6.21 0.000 2.473313 4.755419
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 3.325529 .5846284 5.69 0.000 2.179678 4.47138
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 3.444448 .5832452 5.91 0.000 2.301309 4.587588
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 3.693755 .5813186 6.35 0.000 2.554391 4.833118
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 8.408172 . . . . .
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 10.89881 .1636672 66.59 0.000 10.57802 11.21959
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 9.636481 .1785991 53.96 0.000 9.286434 9.986529
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 8.508664 .2177733 39.07 0.000 8.081837 8.935492
--------------------------------------------------------------------------------------------
Class : 4
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | 2.603195 .3563206 7.31 0.000 1.90482 3.301571
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -415.0109 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | -299.4325 . . . . .
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 2.931333 .8210248 3.57 0.000 1.322154 4.540512
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 4.196278 .800953 5.24 0.000 2.626439 5.766117
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 4.819443 .7967844 6.05 0.000 3.257774 6.381111
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 2.809074 .8189181 3.43 0.001 1.204025 4.414124
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.806065 .1555849 11.61 0.000 1.501124 2.111005
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -398.6715 . . . . .
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 9.36863 5.997921 1.56 0.118 -2.387078 21.12434
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 6.826763 6.001322 1.14 0.255 -4.935613 18.58914
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | -.9773884 1.624438 -0.60 0.547 -4.161228 2.206451
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.341175 .6909188 6.28 0.000 2.986999 5.695351
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 3.449593 .6959805 4.96 0.000 2.085496 4.813689
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.529054 .7092839 3.57 0.000 1.138883 3.919225
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | .8385856 .8046993 1.04 0.297 -.7385961 2.415767
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 9.377036 6.225856 1.51 0.132 -2.825417 21.57949
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 7.465153 6.228312 1.20 0.231 -4.742114 19.67242
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 6.914227 6.230482 1.11 0.267 -5.297293 19.12575
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 7.024339 6.229543 1.13 0.259 -5.185341 19.23402
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 7.084468 6.229621 1.14 0.255 -5.125365 19.2943
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 7.862595 4.910577 1.60 0.109 -1.761959 17.48715
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 2.001215 . . . . .
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 6.283493 4.887272 1.29 0.199 -3.295383 15.86237
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 3.307445 4.944166 0.67 0.504 -6.382942 12.99783
--------------------------------------------------------------------------------------------
Class : 5
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | 2.107303 .2224974 9.47 0.000 1.671216 2.54339
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -401.2588 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 18.22781 .1993184 91.45 0.000 17.83716 18.61847
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 20.24826 .1336404 151.51 0.000 19.98633 20.51019
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 20.4004 .1314346 155.21 0.000 20.14279 20.65801
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 20.25314 .1335153 151.69 0.000 19.99146 20.51483
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 18.8468 . . . . .
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.924476 .121803 15.80 0.000 1.685747 2.163206
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -1.996818 .3289845 -6.07 0.000 -2.641616 -1.35202
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 10.14341 6.32233 1.60 0.109 -2.248129 22.53495
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 6.75926 6.338748 1.07 0.286 -5.664458 19.18298
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | -372.042 . . . . .
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.458806 .9455801 4.72 0.000 2.605503 6.312109
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.538568 .9430823 4.81 0.000 2.69016 6.386975
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.086764 .952519 4.29 0.000 2.219862 5.953667
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | 3.072776 .9570693 3.21 0.001 1.196954 4.948597
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 22.2499 .0969988 229.38 0.000 22.05978 22.44001
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 21.62265 .1069289 202.22 0.000 21.41308 21.83223
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 21.78891 .1014868 214.70 0.000 21.59 21.98782
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 20.82227 .1349293 154.32 0.000 20.55782 21.08673
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 21.53037 . . . . .
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 2.416557 1.632891 1.48 0.139 -.78385 5.616963
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 6.761067 1.296638 5.21 0.000 4.219703 9.302432
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 6.197387 1.298151 4.77 0.000 3.653058 8.741715
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | -320.9143 . . . . .
--------------------------------------------------------------------------------------------
Class : 6
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | .5325454 .2473014 2.15 0.031 .0478435 1.017247
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -362.7843 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 5.781452 6.39908 0.90 0.366 -6.760514 18.32342
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 6.823531 6.392182 1.07 0.286 -5.704916 19.35198
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 6.972499 6.391765 1.09 0.275 -5.55513 19.50013
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 7.038118 6.391364 1.10 0.271 -5.488725 19.56496
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 5.022978 6.410886 0.78 0.433 -7.542128 17.58808
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | -276.616 . . . . .
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | 31.90995 4815154 0.00 1.000 -9437496 9437560
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 9.099631 11.08793 0.82 0.412 -12.63231 30.83157
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 7.54886 11.09007 0.68 0.496 -14.18727 29.28499
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.136017 1.133301 1.00 0.316 -1.085212 3.357246
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.966104 1.028554 2.88 0.004 .950176 4.982033
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 3.097612 1.021873 3.03 0.002 1.094778 5.100446
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.459788 1.041104 2.36 0.018 .4192606 4.500315
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.100619 1.135438 0.97 0.332 -1.124799 3.326037
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | -309.1845 . . . . .
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | -327.3494 . . . . .
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | -.1628341 4.039357 -0.04 0.968 -8.079827 7.754159
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 3.52342 1.057804 3.33 0.001 1.450163 5.596677
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 4.020754 1.052161 3.82 0.000 1.958556 6.082952
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | -335.5371 . . . . .
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 18.27844 1160.582 0.02 0.987 -2256.421 2292.978
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 17.28646 1160.582 0.01 0.988 -2257.413 2291.986
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | -357.1499 . . . . .
--------------------------------------------------------------------------------------------
Class : 7
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | .4457677 .1695582 2.63 0.009 .1134397 .7780957
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -2.932849 .6267895 -4.68 0.000 -4.161333 -1.704364
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 3.765564 2.936992 1.28 0.200 -1.990836 9.521963
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 6.737566 2.894626 2.33 0.020 1.064204 12.41093
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 6.773833 2.895592 2.34 0.019 1.098577 12.44909
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 6.815363 2.894929 2.35 0.019 1.141406 12.48932
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 4.976415 2.906315 1.71 0.087 -.7198584 10.67269
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.873791 .2034686 9.21 0.000 1.475 2.272582
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -361.4677 . . . . .
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | -305.6491 . . . . .
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 5.144607 1.197814 4.29 0.000 2.796935 7.492278
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.052774 .8274777 1.27 0.203 -.569052 2.674601
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 3.469683 .7316226 4.74 0.000 2.035729 4.903637
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 3.571415 .7266395 4.91 0.000 2.147228 4.995603
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.940008 .7457662 3.94 0.000 1.478333 4.401683
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.684054 .7863085 2.14 0.032 .1429179 3.22519
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 7.985197 3.640617 2.19 0.028 .8497192 15.12067
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 5.929434 3.64807 1.63 0.104 -1.220653 13.07952
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 4.311165 3.765986 1.14 0.252 -3.070032 11.69236
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 6.857187 3.64204 1.88 0.060 -.2810796 13.99545
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 4.679388 3.685031 1.27 0.204 -2.54314 11.90192
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | -275.6424 . . . . .
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 3.480765 .4789114 7.27 0.000 2.542116 4.419414
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 2.738625 .4889632 5.60 0.000 1.780274 3.696975
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 1.866409 .4928224 3.79 0.000 .9004953 2.832324
--------------------------------------------------------------------------------------------
----------------------------------------------------------------------------
Fit statistic | Value Description
---------------------+------------------------------------------------------
Likelihood ratio |
chi2_ms(29008) | 3916.103 model vs. saturated
p > chi2 | 1.000
---------------------+------------------------------------------------------
Information criteria |
AIC | 54146.512 Akaike's information criterion
BIC | 55088.731 Bayesian information criterion
----------------------------------------------------------------------------
Entropy:
.85012587
(results lca_prueba_c6 are active now)
(results lca_prueba_c7 are active now)
LMR LT test statistic:
96.717032
P value Lo-Mendel:
0.00000000001093303
__00000B = 96.717032
__00000A = 100.6296
__00000D = 17
__00000C = 20
__000009 = 7
__000005 = 151
__000003 = -26922.256
__000008 = 6
__000004 = 130
__000002 = -26972.571
__000001 = 3789
scalars:
r(lmrt_p) = 1.09330267374e-11
r(lmrt) = 96.71703173416955
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7875.5512
Iteration 1: (class) log likelihood = -7875.5512
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29984.905
Iteration 1: (outcome) log likelihood = -29293.553
Iteration 2: (outcome) log likelihood = -29128.679
Iteration 3: (outcome) log likelihood = -29104.204
Iteration 4: (outcome) log likelihood = -29098.397
Iteration 5: (outcome) log likelihood = -29097.179
Iteration 6: (outcome) log likelihood = -29096.926
Iteration 7: (outcome) log likelihood = -29096.869
Iteration 8: (outcome) log likelihood = -29096.854
Iteration 9: (outcome) log likelihood = -29096.852
Iteration 10: (outcome) log likelihood = -29096.851
Iteration 11: (outcome) log likelihood = -29096.851
Iteration 12: (outcome) log likelihood = -29096.851
Refining starting values:
Iteration 0: (EM) log likelihood = -36955.458
Iteration 1: (EM) log likelihood = -36877.039
Iteration 2: (EM) log likelihood = -36610.213
Iteration 3: (EM) log likelihood = -35911.158
Iteration 4: (EM) log likelihood = -34827.901
Iteration 5: (EM) log likelihood = -33815.95
Iteration 6: (EM) log likelihood = -33032.664
Iteration 7: (EM) log likelihood = -32413.881
Iteration 8: (EM) log likelihood = -31937.594
Iteration 9: (EM) log likelihood = -31582.702
Iteration 10: (EM) log likelihood = -31298.988
Iteration 11: (EM) log likelihood = -31060.628
Iteration 12: (EM) log likelihood = -30845.995
Iteration 13: (EM) log likelihood = -30645.262
Iteration 14: (EM) log likelihood = -30449.414
Iteration 15: (EM) log likelihood = -30258.234
Iteration 16: (EM) log likelihood = -30077.849
Iteration 17: (EM) log likelihood = -29916.228
Iteration 18: (EM) log likelihood = -29775.663
Iteration 19: (EM) log likelihood = -29659.569
Iteration 20: (EM) log likelihood = -29563.104
Iteration 21: (EM) log likelihood = -29482.16
Iteration 22: (EM) log likelihood = -29416.527
Iteration 23: (EM) log likelihood = -29362.022
Iteration 24: (EM) log likelihood = -29315.148
Iteration 25: (EM) log likelihood = -29274.902
Iteration 26: (EM) log likelihood = -29240.29
Iteration 27: (EM) log likelihood = -29208.503
Iteration 28: (EM) log likelihood = -29178.847
Iteration 29: (EM) log likelihood = -29151.28
Iteration 30: (EM) log likelihood = -29125.331
Iteration 31: (EM) log likelihood = -29098.989
Iteration 32: (EM) log likelihood = -29074.726
Iteration 33: (EM) log likelihood = -29050.395
Iteration 34: (EM) log likelihood = -29025.897
Iteration 35: (EM) log likelihood = -29001.046
Iteration 36: (EM) log likelihood = -28975.663
Iteration 37: (EM) log likelihood = -28949.309
Iteration 38: (EM) log likelihood = -28925.314
Iteration 39: (EM) log likelihood = -28901.068
Iteration 40: (EM) log likelihood = -28876.516
Iteration 41: (EM) log likelihood = -28852.817
Iteration 42: (EM) log likelihood = -28829.587
Iteration 43: (EM) log likelihood = -28805.528
Iteration 44: (EM) log likelihood = -28783.431
Iteration 45: (EM) log likelihood = -28762.806
Iteration 46: (EM) log likelihood = -28742.009
Iteration 47: (EM) log likelihood = -28718.392
Iteration 48: (EM) log likelihood = -28693.15
Iteration 49: (EM) log likelihood = -28675.469
Iteration 50: (EM) log likelihood = -28658.733
Iteration 51: (EM) log likelihood = -28643.122
Iteration 52: (EM) log likelihood = -28629.5
Iteration 53: (EM) log likelihood = -28615.896
Iteration 54: (EM) log likelihood = -28603.166
Iteration 55: (EM) log likelihood = -28593.016
Iteration 56: (EM) log likelihood = -28581.85
Iteration 57: (EM) log likelihood = -28572.812
Iteration 58: (EM) log likelihood = -28564.573
Iteration 59: (EM) log likelihood = -28555.512
Iteration 60: (EM) log likelihood = -28545.882
Iteration 61: (EM) log likelihood = -28536.41
Iteration 62: (EM) log likelihood = -28527.48
Iteration 63: (EM) log likelihood = -28518.701
Iteration 64: (EM) log likelihood = -28511.966
Iteration 65: (EM) log likelihood = -28505.246
Iteration 66: (EM) log likelihood = -28499.637
Iteration 67: (EM) log likelihood = -28494.072
Iteration 68: (EM) log likelihood = -28488.43
Iteration 69: (EM) log likelihood = -28483.443
Iteration 70: (EM) log likelihood = -28475.621
Iteration 71: (EM) log likelihood = -28467.048
Iteration 72: (EM) log likelihood = -28460.463
Iteration 73: (EM) log likelihood = -28452.682
Iteration 74: (EM) log likelihood = -28444.134
Iteration 75: (EM) log likelihood = -28435.19
Iteration 76: (EM) log likelihood = -28428.634
Iteration 77: (EM) log likelihood = -28417.887
Iteration 78: (EM) log likelihood = -28414.62
Iteration 79: (EM) log likelihood = -28407.785
Iteration 80: (EM) log likelihood = -28401.184
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7876.2299
Iteration 1: (class) log likelihood = -7876.2299
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29555.603
Iteration 1: (outcome) log likelihood = -29195.317
Iteration 2: (outcome) log likelihood = -29109.81
Iteration 3: (outcome) log likelihood = -29092.072
Iteration 4: (outcome) log likelihood = -29088.848
Iteration 5: (outcome) log likelihood = -29088.143
Iteration 6: (outcome) log likelihood = -29087.971
Iteration 7: (outcome) log likelihood = -29087.935
Iteration 8: (outcome) log likelihood = -29087.928
Iteration 9: (outcome) log likelihood = -29087.926
Iteration 10: (outcome) log likelihood = -29087.925
Iteration 11: (outcome) log likelihood = -29087.925
Iteration 12: (outcome) log likelihood = -29087.925
Refining starting values:
Iteration 0: (EM) log likelihood = -36906.664
Iteration 1: (EM) log likelihood = -36677.623
Iteration 2: (EM) log likelihood = -36007.886
Iteration 3: (EM) log likelihood = -34910.149
Iteration 4: (EM) log likelihood = -33963.295
Iteration 5: (EM) log likelihood = -33295.881
Iteration 6: (EM) log likelihood = -32752.472
Iteration 7: (EM) log likelihood = -32268.302
Iteration 8: (EM) log likelihood = -31855.391
Iteration 9: (EM) log likelihood = -31529.022
Iteration 10: (EM) log likelihood = -31270.248
Iteration 11: (EM) log likelihood = -31054.627
Iteration 12: (EM) log likelihood = -30864.082
Iteration 13: (EM) log likelihood = -30688.842
Iteration 14: (EM) log likelihood = -30530.368
Iteration 15: (EM) log likelihood = -30394.318
Iteration 16: (EM) log likelihood = -30279.119
Iteration 17: (EM) log likelihood = -30184.588
Iteration 18: (EM) log likelihood = -30107.091
Iteration 19: (EM) log likelihood = -30035.99
Iteration 20: (EM) log likelihood = -29972.072
Iteration 21: (EM) log likelihood = -29909.144
Iteration 22: (EM) log likelihood = -29848.883
Iteration 23: (EM) log likelihood = -29790.006
Iteration 24: (EM) log likelihood = -29732.847
Iteration 25: (EM) log likelihood = -29675.104
Iteration 26: (EM) log likelihood = -29620.096
Iteration 27: (EM) log likelihood = -29567.037
Iteration 28: (EM) log likelihood = -29513.165
Iteration 29: (EM) log likelihood = -29461.998
Iteration 30: (EM) log likelihood = -29406.834
Iteration 31: (EM) log likelihood = -29358.811
Iteration 32: (EM) log likelihood = -29318.581
Iteration 33: (EM) log likelihood = -29281.971
Iteration 34: (EM) log likelihood = -29248.717
Iteration 35: (EM) log likelihood = -29217.517
Iteration 36: (EM) log likelihood = -29187.844
Iteration 37: (EM) log likelihood = -29159.192
Iteration 38: (EM) log likelihood = -29130.517
Iteration 39: (EM) log likelihood = -29100.39
Iteration 40: (EM) log likelihood = -29068.504
Iteration 41: (EM) log likelihood = -29034.386
Iteration 42: (EM) log likelihood = -29000.763
Iteration 43: (EM) log likelihood = -28966.44
Iteration 44: (EM) log likelihood = -28933.23
Iteration 45: (EM) log likelihood = -28904.892
Iteration 46: (EM) log likelihood = -28878.394
Iteration 47: (EM) log likelihood = -28854.097
Iteration 48: (EM) log likelihood = -28834.417
Iteration 49: (EM) log likelihood = -28816.107
Iteration 50: (EM) log likelihood = -28801.353
Iteration 51: (EM) log likelihood = -28786.438
Iteration 52: (EM) log likelihood = -28772.671
Iteration 53: (EM) log likelihood = -28759.007
Iteration 54: (EM) log likelihood = -28747.795
Iteration 55: (EM) log likelihood = -28735.447
Iteration 56: (EM) log likelihood = -28723.639
Iteration 57: (EM) log likelihood = -28712.076
Iteration 58: (EM) log likelihood = -28699.965
Iteration 59: (EM) log likelihood = -28690.807
Iteration 60: (EM) log likelihood = -28678.823
Iteration 61: (EM) log likelihood = -28666.697
Iteration 62: (EM) log likelihood = -28655.296
Iteration 63: (EM) log likelihood = -28644.296
Iteration 64: (EM) log likelihood = -28632.298
Iteration 65: (EM) log likelihood = -28619.926
Iteration 66: (EM) log likelihood = -28605.985
Iteration 67: (EM) log likelihood = -28593.978
Iteration 68: (EM) log likelihood = -28572.829
Iteration 69: (EM) log likelihood = -28559.738
Iteration 70: (EM) log likelihood = -28546.386
Iteration 71: (EM) log likelihood = -28531.867
Iteration 72: (EM) log likelihood = -28518.78
Iteration 73: (EM) log likelihood = -28505.18
Iteration 74: (EM) log likelihood = -28492.306
Iteration 75: (EM) log likelihood = -28481.077
Iteration 76: (EM) log likelihood = -28473.86
Iteration 77: (EM) log likelihood = -28461.859
Iteration 78: (EM) log likelihood = -28447.873
Iteration 79: (EM) log likelihood = -28439.173
Iteration 80: (EM) log likelihood = -28431.75
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7876.8707
Iteration 1: (class) log likelihood = -7876.8707
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30096.109
Iteration 1: (outcome) log likelihood = -29271.224
Iteration 2: (outcome) log likelihood = -29119.829
Iteration 3: (outcome) log likelihood = -29089.27
Iteration 4: (outcome) log likelihood = -29082.524
Iteration 5: (outcome) log likelihood = -29081.089
Iteration 6: (outcome) log likelihood = -29080.855
Iteration 7: (outcome) log likelihood = -29080.798
Iteration 8: (outcome) log likelihood = -29080.786
Iteration 9: (outcome) log likelihood = -29080.783
Iteration 10: (outcome) log likelihood = -29080.783
Iteration 11: (outcome) log likelihood = -29080.783
Iteration 12: (outcome) log likelihood = -29080.782
Refining starting values:
Iteration 0: (EM) log likelihood = -36905.071
Iteration 1: (EM) log likelihood = -36702.542
Iteration 2: (EM) log likelihood = -36011.345
Iteration 3: (EM) log likelihood = -34713.845
Iteration 4: (EM) log likelihood = -33663.069
Iteration 5: (EM) log likelihood = -33030.062
Iteration 6: (EM) log likelihood = -32581.43
Iteration 7: (EM) log likelihood = -32204.823
Iteration 8: (EM) log likelihood = -31867.085
Iteration 9: (EM) log likelihood = -31555.086
Iteration 10: (EM) log likelihood = -31269.68
Iteration 11: (EM) log likelihood = -31008.417
Iteration 12: (EM) log likelihood = -30769.363
Iteration 13: (EM) log likelihood = -30558.101
Iteration 14: (EM) log likelihood = -30375.307
Iteration 15: (EM) log likelihood = -30218.998
Iteration 16: (EM) log likelihood = -30086.927
Iteration 17: (EM) log likelihood = -29976.411
Iteration 18: (EM) log likelihood = -29881.31
Iteration 19: (EM) log likelihood = -29802.142
Iteration 20: (EM) log likelihood = -29731.472
Iteration 21: (EM) log likelihood = -29669.814
Iteration 22: (EM) log likelihood = -29615.896
Iteration 23: (EM) log likelihood = -29568.565
Iteration 24: (EM) log likelihood = -29524.812
Iteration 25: (EM) log likelihood = -29486.013
Iteration 26: (EM) log likelihood = -29450.879
Iteration 27: (EM) log likelihood = -29420.19
Iteration 28: (EM) log likelihood = -29391.93
Iteration 29: (EM) log likelihood = -29366.599
Iteration 30: (EM) log likelihood = -29342.921
Iteration 31: (EM) log likelihood = -29320.098
Iteration 32: (EM) log likelihood = -29301.278
Iteration 33: (EM) log likelihood = -29281.745
Iteration 34: (EM) log likelihood = -29264.023
Iteration 35: (EM) log likelihood = -29247.297
Iteration 36: (EM) log likelihood = -29230.496
Iteration 37: (EM) log likelihood = -29215.069
Iteration 38: (EM) log likelihood = -29200.737
Iteration 39: (EM) log likelihood = -29187.452
Iteration 40: (EM) log likelihood = -29174.204
Iteration 41: (EM) log likelihood = -29161.356
Iteration 42: (EM) log likelihood = -29149.293
Iteration 43: (EM) log likelihood = -29138.371
Iteration 44: (EM) log likelihood = -29127.552
Iteration 45: (EM) log likelihood = -29117.933
Iteration 46: (EM) log likelihood = -29106.516
Iteration 47: (EM) log likelihood = -29094.778
Iteration 48: (EM) log likelihood = -29084.273
Iteration 49: (EM) log likelihood = -29072.293
Iteration 50: (EM) log likelihood = -29059.741
Iteration 51: (EM) log likelihood = -29049.149
Iteration 52: (EM) log likelihood = -29038.333
Iteration 53: (EM) log likelihood = -29028.643
Iteration 54: (EM) log likelihood = -29020.474
Iteration 55: (EM) log likelihood = -29013.145
Iteration 56: (EM) log likelihood = -29006.005
Iteration 57: (EM) log likelihood = -29000.565
Iteration 58: (EM) log likelihood = -28995.991
Iteration 59: (EM) log likelihood = -28991.614
Iteration 60: (EM) log likelihood = -28987.284
Iteration 61: (EM) log likelihood = -28983.322
Iteration 62: (EM) log likelihood = -28979.884
Iteration 63: (EM) log likelihood = -28976.953
Iteration 64: (EM) log likelihood = -28974.45
Iteration 65: (EM) log likelihood = -28972.489
Iteration 66: (EM) log likelihood = -28970.628
Iteration 67: (EM) log likelihood = -28968.999
Iteration 68: (EM) log likelihood = -28968.003
Iteration 69: (EM) log likelihood = -28966.61
Iteration 70: (EM) log likelihood = -28965.216
Iteration 71: (EM) log likelihood = -28963.699
Iteration 72: (EM) log likelihood = -28962.586
Iteration 73: (EM) log likelihood = -28961.038
Iteration 74: (EM) log likelihood = -28959.345
Iteration 75: (EM) log likelihood = -28957.162
Iteration 76: (EM) log likelihood = -28955.117
Iteration 77: (EM) log likelihood = -28952.173
Iteration 78: (EM) log likelihood = -28948.933
Iteration 79: (EM) log likelihood = -28945.018
Iteration 80: (EM) log likelihood = -28940.558
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7877.6494
Iteration 1: (class) log likelihood = -7877.6494
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29983.135
Iteration 1: (outcome) log likelihood = -29281.775
Iteration 2: (outcome) log likelihood = -29135.916
Iteration 3: (outcome) log likelihood = -29110.153
Iteration 4: (outcome) log likelihood = -29104.142
Iteration 5: (outcome) log likelihood = -29102.764
Iteration 6: (outcome) log likelihood = -29102.471
Iteration 7: (outcome) log likelihood = -29102.421
Iteration 8: (outcome) log likelihood = -29102.416
Iteration 9: (outcome) log likelihood = -29102.415
Iteration 10: (outcome) log likelihood = -29102.414
Iteration 11: (outcome) log likelihood = -29102.414
Iteration 12: (outcome) log likelihood = -29102.414
Refining starting values:
Iteration 0: (EM) log likelihood = -36937.954
Iteration 1: (EM) log likelihood = -36776.368
Iteration 2: (EM) log likelihood = -36249.107
Iteration 3: (EM) log likelihood = -35147.291
Iteration 4: (EM) log likelihood = -34061.102
Iteration 5: (EM) log likelihood = -33347.94
Iteration 6: (EM) log likelihood = -32840.81
Iteration 7: (EM) log likelihood = -32405.563
Iteration 8: (EM) log likelihood = -32003.751
Iteration 9: (EM) log likelihood = -31641.154
Iteration 10: (EM) log likelihood = -31316.53
Iteration 11: (EM) log likelihood = -31043.226
Iteration 12: (EM) log likelihood = -30807.036
Iteration 13: (EM) log likelihood = -30604.913
Iteration 14: (EM) log likelihood = -30434.402
Iteration 15: (EM) log likelihood = -30289.219
Iteration 16: (EM) log likelihood = -30166.737
Iteration 17: (EM) log likelihood = -30064.355
Iteration 18: (EM) log likelihood = -29979.111
Iteration 19: (EM) log likelihood = -29906.274
Iteration 20: (EM) log likelihood = -29844.954
Iteration 21: (EM) log likelihood = -29791.037
Iteration 22: (EM) log likelihood = -29741.745
Iteration 23: (EM) log likelihood = -29696.409
Iteration 24: (EM) log likelihood = -29653.086
Iteration 25: (EM) log likelihood = -29610.896
Iteration 26: (EM) log likelihood = -29567.812
Iteration 27: (EM) log likelihood = -29524.797
Iteration 28: (EM) log likelihood = -29483.791
Iteration 29: (EM) log likelihood = -29441.731
Iteration 30: (EM) log likelihood = -29401.256
Iteration 31: (EM) log likelihood = -29361.683
Iteration 32: (EM) log likelihood = -29322.634
Iteration 33: (EM) log likelihood = -29286.282
Iteration 34: (EM) log likelihood = -29251.557
Iteration 35: (EM) log likelihood = -29219.427
Iteration 36: (EM) log likelihood = -29188.982
Iteration 37: (EM) log likelihood = -29158.767
Iteration 38: (EM) log likelihood = -29130.402
Iteration 39: (EM) log likelihood = -29104.557
Iteration 40: (EM) log likelihood = -29077.956
Iteration 41: (EM) log likelihood = -29053.824
Iteration 42: (EM) log likelihood = -29028.893
Iteration 43: (EM) log likelihood = -29005.626
Iteration 44: (EM) log likelihood = -28983.817
Iteration 45: (EM) log likelihood = -28964.828
Iteration 46: (EM) log likelihood = -28947.085
Iteration 47: (EM) log likelihood = -28926.964
Iteration 48: (EM) log likelihood = -28908
Iteration 49: (EM) log likelihood = -28890.83
Iteration 50: (EM) log likelihood = -28870.494
Iteration 51: (EM) log likelihood = -28855.292
Iteration 52: (EM) log likelihood = -28839.987
Iteration 53: (EM) log likelihood = -28824.766
Iteration 54: (EM) log likelihood = -28809.997
Iteration 55: (EM) log likelihood = -28802.679
Iteration 56: (EM) log likelihood = -28787.482
Iteration 57: (EM) log likelihood = -28774.11
Iteration 58: (EM) log likelihood = -28761.393
Iteration 59: (EM) log likelihood = -28750.809
Iteration 60: (EM) log likelihood = -28741.029
Iteration 61: (EM) log likelihood = -28731.11
Iteration 62: (EM) log likelihood = -28721.395
Iteration 63: (EM) log likelihood = -28712.495
Iteration 64: (EM) log likelihood = -28704.78
Iteration 65: (EM) log likelihood = -28696.586
Iteration 66: (EM) log likelihood = -28687.843
Iteration 67: (EM) log likelihood = -28682.383
Iteration 68: (EM) log likelihood = -28672.353
Iteration 69: (EM) log likelihood = -28664.697
Iteration 70: (EM) log likelihood = -28657.233
Iteration 71: (EM) log likelihood = -28652.534
Iteration 72: (EM) log likelihood = -28646.179
Iteration 73: (EM) log likelihood = -28639.667
Iteration 74: (EM) log likelihood = -28634.494
Iteration 75: (EM) log likelihood = -28623.258
Iteration 76: (EM) log likelihood = -28618.957
Iteration 77: (EM) log likelihood = -28614.617
Iteration 78: (EM) log likelihood = -28609.446
Iteration 79: (EM) log likelihood = -28603.655
Iteration 80: (EM) log likelihood = -28600.843
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7868.9676
Iteration 1: (class) log likelihood = -7868.9676
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29898.331
Iteration 1: (outcome) log likelihood = -29241.287
Iteration 2: (outcome) log likelihood = -29113.224
Iteration 3: (outcome) log likelihood = -29087.929
Iteration 4: (outcome) log likelihood = -29082.003
Iteration 5: (outcome) log likelihood = -29080.822
Iteration 6: (outcome) log likelihood = -29080.622
Iteration 7: (outcome) log likelihood = -29080.576
Iteration 8: (outcome) log likelihood = -29080.565
Iteration 9: (outcome) log likelihood = -29080.563
Iteration 10: (outcome) log likelihood = -29080.562
Iteration 11: (outcome) log likelihood = -29080.562
Iteration 12: (outcome) log likelihood = -29080.562
Refining starting values:
Iteration 0: (EM) log likelihood = -36910.805
Iteration 1: (EM) log likelihood = -36735.19
Iteration 2: (EM) log likelihood = -36138.982
Iteration 3: (EM) log likelihood = -34999.21
Iteration 4: (EM) log likelihood = -33924.381
Iteration 5: (EM) log likelihood = -33164.382
Iteration 6: (EM) log likelihood = -32625.532
Iteration 7: (EM) log likelihood = -32185.733
Iteration 8: (EM) log likelihood = -31782.492
Iteration 9: (EM) log likelihood = -31408.968
Iteration 10: (EM) log likelihood = -31076.717
Iteration 11: (EM) log likelihood = -30793.003
Iteration 12: (EM) log likelihood = -30554.74
Iteration 13: (EM) log likelihood = -30350.795
Iteration 14: (EM) log likelihood = -30170.466
Iteration 15: (EM) log likelihood = -30007.198
Iteration 16: (EM) log likelihood = -29863.285
Iteration 17: (EM) log likelihood = -29740.456
Iteration 18: (EM) log likelihood = -29639.886
Iteration 19: (EM) log likelihood = -29558.376
Iteration 20: (EM) log likelihood = -29494.453
Iteration 21: (EM) log likelihood = -29445.123
Iteration 22: (EM) log likelihood = -29405.099
Iteration 23: (EM) log likelihood = -29373.666
Iteration 24: (EM) log likelihood = -29347.472
Iteration 25: (EM) log likelihood = -29324.319
Iteration 26: (EM) log likelihood = -29303.687
Iteration 27: (EM) log likelihood = -29285.487
Iteration 28: (EM) log likelihood = -29268.106
Iteration 29: (EM) log likelihood = -29252.282
Iteration 30: (EM) log likelihood = -29238.284
Iteration 31: (EM) log likelihood = -29225.581
Iteration 32: (EM) log likelihood = -29214.648
Iteration 33: (EM) log likelihood = -29202.678
Iteration 34: (EM) log likelihood = -29191.382
Iteration 35: (EM) log likelihood = -29181.568
Iteration 36: (EM) log likelihood = -29171.433
Iteration 37: (EM) log likelihood = -29162.621
Iteration 38: (EM) log likelihood = -29153.943
Iteration 39: (EM) log likelihood = -29145.571
Iteration 40: (EM) log likelihood = -29136.171
Iteration 41: (EM) log likelihood = -29130.464
Iteration 42: (EM) log likelihood = -29123.347
Iteration 43: (EM) log likelihood = -29114.818
Iteration 44: (EM) log likelihood = -29107.446
Iteration 45: (EM) log likelihood = -29100.292
Iteration 46: (EM) log likelihood = -29093.001
Iteration 47: (EM) log likelihood = -29086.169
Iteration 48: (EM) log likelihood = -29079.554
Iteration 49: (EM) log likelihood = -29073.242
Iteration 50: (EM) log likelihood = -29066.566
Iteration 51: (EM) log likelihood = -29058.194
Iteration 52: (EM) log likelihood = -29050.887
Iteration 53: (EM) log likelihood = -29043.918
Iteration 54: (EM) log likelihood = -29036.757
Iteration 55: (EM) log likelihood = -29029.072
Iteration 56: (EM) log likelihood = -29020.886
Iteration 57: (EM) log likelihood = -29012.754
Iteration 58: (EM) log likelihood = -29005.405
Iteration 59: (EM) log likelihood = -28996.953
Iteration 60: (EM) log likelihood = -28989.038
Iteration 61: (EM) log likelihood = -28980.141
Iteration 62: (EM) log likelihood = -28970.503
Iteration 63: (EM) log likelihood = -28961.649
Iteration 64: (EM) log likelihood = -28952.772
Iteration 65: (EM) log likelihood = -28944.05
Iteration 66: (EM) log likelihood = -28934.93
Iteration 67: (EM) log likelihood = -28925.529
Iteration 68: (EM) log likelihood = -28916.861
Iteration 69: (EM) log likelihood = -28908.247
Iteration 70: (EM) log likelihood = -28899.452
Iteration 71: (EM) log likelihood = -28891.535
Iteration 72: (EM) log likelihood = -28883.371
Iteration 73: (EM) log likelihood = -28875.013
Iteration 74: (EM) log likelihood = -28868.058
Iteration 75: (EM) log likelihood = -28860.185
Iteration 76: (EM) log likelihood = -28852.681
Iteration 77: (EM) log likelihood = -28844.84
Iteration 78: (EM) log likelihood = -28837.656
Iteration 79: (EM) log likelihood = -28830.718
Iteration 80: (EM) log likelihood = -28823.14
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7874.1467
Iteration 1: (class) log likelihood = -7874.1467
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30119.003
Iteration 1: (outcome) log likelihood = -29279.259
Iteration 2: (outcome) log likelihood = -29118.524
Iteration 3: (outcome) log likelihood = -29085.292
Iteration 4: (outcome) log likelihood = -29077.392
Iteration 5: (outcome) log likelihood = -29075.729
Iteration 6: (outcome) log likelihood = -29075.383
Iteration 7: (outcome) log likelihood = -29075.305
Iteration 8: (outcome) log likelihood = -29075.285
Iteration 9: (outcome) log likelihood = -29075.281
Iteration 10: (outcome) log likelihood = -29075.281
Iteration 11: (outcome) log likelihood = -29075.28
Iteration 12: (outcome) log likelihood = -29075.28
Iteration 13: (outcome) log likelihood = -29075.28
Refining starting values:
Iteration 0: (EM) log likelihood = -36905.967
Iteration 1: (EM) log likelihood = -36740.002
Iteration 2: (EM) log likelihood = -36242.963
Iteration 3: (EM) log likelihood = -35169.76
Iteration 4: (EM) log likelihood = -33912.211
Iteration 5: (EM) log likelihood = -33026.885
Iteration 6: (EM) log likelihood = -32434.304
Iteration 7: (EM) log likelihood = -31974.833
Iteration 8: (EM) log likelihood = -31601.418
Iteration 9: (EM) log likelihood = -31307.075
Iteration 10: (EM) log likelihood = -31076.037
Iteration 11: (EM) log likelihood = -30885.938
Iteration 12: (EM) log likelihood = -30717.731
Iteration 13: (EM) log likelihood = -30548.625
Iteration 14: (EM) log likelihood = -30386.878
Iteration 15: (EM) log likelihood = -30230.543
Iteration 16: (EM) log likelihood = -30085.294
Iteration 17: (EM) log likelihood = -29960.613
Iteration 18: (EM) log likelihood = -29858.232
Iteration 19: (EM) log likelihood = -29777.707
Iteration 20: (EM) log likelihood = -29712.394
Iteration 21: (EM) log likelihood = -29657.843
Iteration 22: (EM) log likelihood = -29613.035
Iteration 23: (EM) log likelihood = -29574.126
Iteration 24: (EM) log likelihood = -29540.566
Iteration 25: (EM) log likelihood = -29510.067
Iteration 26: (EM) log likelihood = -29482.733
Iteration 27: (EM) log likelihood = -29456.329
Iteration 28: (EM) log likelihood = -29431.787
Iteration 29: (EM) log likelihood = -29408.585
Iteration 30: (EM) log likelihood = -29386.588
Iteration 31: (EM) log likelihood = -29365.481
Iteration 32: (EM) log likelihood = -29345.407
Iteration 33: (EM) log likelihood = -29325.403
Iteration 34: (EM) log likelihood = -29305.964
Iteration 35: (EM) log likelihood = -29288.486
Iteration 36: (EM) log likelihood = -29270.758
Iteration 37: (EM) log likelihood = -29252.197
Iteration 38: (EM) log likelihood = -29234.575
Iteration 39: (EM) log likelihood = -29216.913
Iteration 40: (EM) log likelihood = -29200.038
Iteration 41: (EM) log likelihood = -29182.793
Iteration 42: (EM) log likelihood = -29166.613
Iteration 43: (EM) log likelihood = -29150.367
Iteration 44: (EM) log likelihood = -29133.827
Iteration 45: (EM) log likelihood = -29118.367
Iteration 46: (EM) log likelihood = -29101.787
Iteration 47: (EM) log likelihood = -29085.678
Iteration 48: (EM) log likelihood = -29068.009
Iteration 49: (EM) log likelihood = -29051.118
Iteration 50: (EM) log likelihood = -29034.403
Iteration 51: (EM) log likelihood = -29018.222
Iteration 52: (EM) log likelihood = -29002.439
Iteration 53: (EM) log likelihood = -28987.332
Iteration 54: (EM) log likelihood = -28972.342
Iteration 55: (EM) log likelihood = -28958.021
Iteration 56: (EM) log likelihood = -28944.722
Iteration 57: (EM) log likelihood = -28931.919
Iteration 58: (EM) log likelihood = -28916.649
Iteration 59: (EM) log likelihood = -28905.204
Iteration 60: (EM) log likelihood = -28895.321
Iteration 61: (EM) log likelihood = -28884.466
Iteration 62: (EM) log likelihood = -28874.706
Iteration 63: (EM) log likelihood = -28863.598
Iteration 64: (EM) log likelihood = -28853.478
Iteration 65: (EM) log likelihood = -28844.574
Iteration 66: (EM) log likelihood = -28834.357
Iteration 67: (EM) log likelihood = -28825.259
Iteration 68: (EM) log likelihood = -28818.172
Iteration 69: (EM) log likelihood = -28810.862
Iteration 70: (EM) log likelihood = -28804.654
Iteration 71: (EM) log likelihood = -28798.639
Iteration 72: (EM) log likelihood = -28793.177
Iteration 73: (EM) log likelihood = -28786.486
Iteration 74: (EM) log likelihood = -28781.03
Iteration 75: (EM) log likelihood = -28776.78
Iteration 76: (EM) log likelihood = -28772.078
Iteration 77: (EM) log likelihood = -28767.25
Iteration 78: (EM) log likelihood = -28764.418
Iteration 79: (EM) log likelihood = -28761.667
Iteration 80: (EM) log likelihood = -28758.123
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7877.1213
Iteration 1: (class) log likelihood = -7877.1213
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29491.904
Iteration 1: (outcome) log likelihood = -29185.639
Iteration 2: (outcome) log likelihood = -29113.336
Iteration 3: (outcome) log likelihood = -29101.238
Iteration 4: (outcome) log likelihood = -29098.857
Iteration 5: (outcome) log likelihood = -29098.335
Iteration 6: (outcome) log likelihood = -29098.218
Iteration 7: (outcome) log likelihood = -29098.189
Iteration 8: (outcome) log likelihood = -29098.183
Iteration 9: (outcome) log likelihood = -29098.182
Iteration 10: (outcome) log likelihood = -29098.182
Iteration 11: (outcome) log likelihood = -29098.181
Iteration 12: (outcome) log likelihood = -29098.181
Refining starting values:
Iteration 0: (EM) log likelihood = -36960.097
Iteration 1: (EM) log likelihood = -36903.758
Iteration 2: (EM) log likelihood = -36733.565
Iteration 3: (EM) log likelihood = -36234.356
Iteration 4: (EM) log likelihood = -35165.995
Iteration 5: (EM) log likelihood = -33939.056
Iteration 6: (EM) log likelihood = -33058.558
Iteration 7: (EM) log likelihood = -32489.711
Iteration 8: (EM) log likelihood = -32093.072
Iteration 9: (EM) log likelihood = -31772.336
Iteration 10: (EM) log likelihood = -31486.299
Iteration 11: (EM) log likelihood = -31208.082
Iteration 12: (EM) log likelihood = -30937.866
Iteration 13: (EM) log likelihood = -30696.467
Iteration 14: (EM) log likelihood = -30496.01
Iteration 15: (EM) log likelihood = -30331.636
Iteration 16: (EM) log likelihood = -30192.359
Iteration 17: (EM) log likelihood = -30073.911
Iteration 18: (EM) log likelihood = -29967.616
Iteration 19: (EM) log likelihood = -29873.216
Iteration 20: (EM) log likelihood = -29786.177
Iteration 21: (EM) log likelihood = -29706.743
Iteration 22: (EM) log likelihood = -29633.943
Iteration 23: (EM) log likelihood = -29565.61
Iteration 24: (EM) log likelihood = -29504.534
Iteration 25: (EM) log likelihood = -29452.098
Iteration 26: (EM) log likelihood = -29407.152
Iteration 27: (EM) log likelihood = -29371.849
Iteration 28: (EM) log likelihood = -29339.246
Iteration 29: (EM) log likelihood = -29310.137
Iteration 30: (EM) log likelihood = -29284.048
Iteration 31: (EM) log likelihood = -29258.855
Iteration 32: (EM) log likelihood = -29235.432
Iteration 33: (EM) log likelihood = -29213.849
Iteration 34: (EM) log likelihood = -29193.977
Iteration 35: (EM) log likelihood = -29176.067
Iteration 36: (EM) log likelihood = -29159.805
Iteration 37: (EM) log likelihood = -29145.025
Iteration 38: (EM) log likelihood = -29132.298
Iteration 39: (EM) log likelihood = -29119.802
Iteration 40: (EM) log likelihood = -29106.617
Iteration 41: (EM) log likelihood = -29093.102
Iteration 42: (EM) log likelihood = -29077.695
Iteration 43: (EM) log likelihood = -29061.282
Iteration 44: (EM) log likelihood = -29045.218
Iteration 45: (EM) log likelihood = -29031.049
Iteration 46: (EM) log likelihood = -29018.025
Iteration 47: (EM) log likelihood = -29007.71
Iteration 48: (EM) log likelihood = -28995.643
Iteration 49: (EM) log likelihood = -28980.875
Iteration 50: (EM) log likelihood = -28969.038
Iteration 51: (EM) log likelihood = -28959.986
Iteration 52: (EM) log likelihood = -28952.679
Iteration 53: (EM) log likelihood = -28946.631
Iteration 54: (EM) log likelihood = -28941.008
Iteration 55: (EM) log likelihood = -28933.649
Iteration 56: (EM) log likelihood = -28930.779
Iteration 57: (EM) log likelihood = -28928.474
Iteration 58: (EM) log likelihood = -28925.896
Iteration 59: (EM) log likelihood = -28922.954
Iteration 60: (EM) log likelihood = -28920.322
Iteration 61: (EM) log likelihood = -28918.03
Iteration 62: (EM) log likelihood = -28916.255
Iteration 63: (EM) log likelihood = -28913.017
Iteration 64: (EM) log likelihood = -28909.78
Iteration 65: (EM) log likelihood = -28905.464
Iteration 66: (EM) log likelihood = -28900.188
Iteration 67: (EM) log likelihood = -28894.194
Iteration 68: (EM) log likelihood = -28887.23
Iteration 69: (EM) log likelihood = -28879.173
Iteration 70: (EM) log likelihood = -28870.712
Iteration 71: (EM) log likelihood = -28862.136
Iteration 72: (EM) log likelihood = -28854.111
Iteration 73: (EM) log likelihood = -28846.558
Iteration 74: (EM) log likelihood = -28839.988
Iteration 75: (EM) log likelihood = -28833.962
Iteration 76: (EM) log likelihood = -28829.212
Iteration 77: (EM) log likelihood = -28825.37
Iteration 78: (EM) log likelihood = -28821.294
Iteration 79: (EM) log likelihood = -28817.628
Iteration 80: (EM) log likelihood = -28814.354
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7876.4652
Iteration 1: (class) log likelihood = -7876.4652
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30150.454
Iteration 1: (outcome) log likelihood = -29248.337
Iteration 2: (outcome) log likelihood = -29129.65
Iteration 3: (outcome) log likelihood = -29098.215
Iteration 4: (outcome) log likelihood = -29090.994
Iteration 5: (outcome) log likelihood = -29089.39
Iteration 6: (outcome) log likelihood = -29089.066
Iteration 7: (outcome) log likelihood = -29088.993
Iteration 8: (outcome) log likelihood = -29088.975
Iteration 9: (outcome) log likelihood = -29088.971
Iteration 10: (outcome) log likelihood = -29088.971
Iteration 11: (outcome) log likelihood = -29088.97
Iteration 12: (outcome) log likelihood = -29088.97
Iteration 13: (outcome) log likelihood = -29088.97
Refining starting values:
Iteration 0: (EM) log likelihood = -36927.511
Iteration 1: (EM) log likelihood = -36761.873
Iteration 2: (EM) log likelihood = -36176.522
Iteration 3: (EM) log likelihood = -34974.474
Iteration 4: (EM) log likelihood = -33848.397
Iteration 5: (EM) log likelihood = -33098.917
Iteration 6: (EM) log likelihood = -32588.74
Iteration 7: (EM) log likelihood = -32209.182
Iteration 8: (EM) log likelihood = -31906.562
Iteration 9: (EM) log likelihood = -31641.448
Iteration 10: (EM) log likelihood = -31396.037
Iteration 11: (EM) log likelihood = -31165.828
Iteration 12: (EM) log likelihood = -30946.512
Iteration 13: (EM) log likelihood = -30741.757
Iteration 14: (EM) log likelihood = -30558.667
Iteration 15: (EM) log likelihood = -30395.546
Iteration 16: (EM) log likelihood = -30251.211
Iteration 17: (EM) log likelihood = -30124.635
Iteration 18: (EM) log likelihood = -30013.009
Iteration 19: (EM) log likelihood = -29915.688
Iteration 20: (EM) log likelihood = -29829.083
Iteration 21: (EM) log likelihood = -29749.167
Iteration 22: (EM) log likelihood = -29676.777
Iteration 23: (EM) log likelihood = -29609.367
Iteration 24: (EM) log likelihood = -29545.097
Iteration 25: (EM) log likelihood = -29484.406
Iteration 26: (EM) log likelihood = -29424.874
Iteration 27: (EM) log likelihood = -29367.637
Iteration 28: (EM) log likelihood = -29311.164
Iteration 29: (EM) log likelihood = -29257.953
Iteration 30: (EM) log likelihood = -29205.891
Iteration 31: (EM) log likelihood = -29154.958
Iteration 32: (EM) log likelihood = -29108.663
Iteration 33: (EM) log likelihood = -29061.27
Iteration 34: (EM) log likelihood = -29021.94
Iteration 35: (EM) log likelihood = -28986.579
Iteration 36: (EM) log likelihood = -28955.142
Iteration 37: (EM) log likelihood = -28923.723
Iteration 38: (EM) log likelihood = -28898.573
Iteration 39: (EM) log likelihood = -28874.914
Iteration 40: (EM) log likelihood = -28855.513
Iteration 41: (EM) log likelihood = -28837.819
Iteration 42: (EM) log likelihood = -28821.204
Iteration 43: (EM) log likelihood = -28805.86
Iteration 44: (EM) log likelihood = -28792.388
Iteration 45: (EM) log likelihood = -28778.957
Iteration 46: (EM) log likelihood = -28765.914
Iteration 47: (EM) log likelihood = -28754.22
Iteration 48: (EM) log likelihood = -28743.456
Iteration 49: (EM) log likelihood = -28732.959
Iteration 50: (EM) log likelihood = -28723.326
Iteration 51: (EM) log likelihood = -28714.833
Iteration 52: (EM) log likelihood = -28705.96
Iteration 53: (EM) log likelihood = -28697.942
Iteration 54: (EM) log likelihood = -28688.055
Iteration 55: (EM) log likelihood = -28679.388
Iteration 56: (EM) log likelihood = -28672.241
Iteration 57: (EM) log likelihood = -28665.207
Iteration 58: (EM) log likelihood = -28657.25
Iteration 59: (EM) log likelihood = -28650.572
Iteration 60: (EM) log likelihood = -28644.032
Iteration 61: (EM) log likelihood = -28636.825
Iteration 62: (EM) log likelihood = -28630.63
Iteration 63: (EM) log likelihood = -28623.812
Iteration 64: (EM) log likelihood = -28617.049
Iteration 65: (EM) log likelihood = -28611.214
Iteration 66: (EM) log likelihood = -28605.42
Iteration 67: (EM) log likelihood = -28598.5
Iteration 68: (EM) log likelihood = -28590.024
Iteration 69: (EM) log likelihood = -28584.999
Iteration 70: (EM) log likelihood = -28580.07
Iteration 71: (EM) log likelihood = -28574.518
Iteration 72: (EM) log likelihood = -28568.998
Iteration 73: (EM) log likelihood = -28560.92
Iteration 74: (EM) log likelihood = -28555.663
Iteration 75: (EM) log likelihood = -28550.139
Iteration 76: (EM) log likelihood = -28544.172
Iteration 77: (EM) log likelihood = -28536.121
Iteration 78: (EM) log likelihood = -28531.932
Iteration 79: (EM) log likelihood = -28530.17
Iteration 80: (EM) log likelihood = -28522.432
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7872.6691
Iteration 1: (class) log likelihood = -7872.6691
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30015.07
Iteration 1: (outcome) log likelihood = -29234.733
Iteration 2: (outcome) log likelihood = -29107.316
Iteration 3: (outcome) log likelihood = -29078.057
Iteration 4: (outcome) log likelihood = -29072.551
Iteration 5: (outcome) log likelihood = -29071.338
Iteration 6: (outcome) log likelihood = -29071.056
Iteration 7: (outcome) log likelihood = -29070.991
Iteration 8: (outcome) log likelihood = -29070.977
Iteration 9: (outcome) log likelihood = -29070.975
Iteration 10: (outcome) log likelihood = -29070.974
Iteration 11: (outcome) log likelihood = -29070.974
Iteration 12: (outcome) log likelihood = -29070.974
Refining starting values:
Iteration 0: (EM) log likelihood = -36902.255
Iteration 1: (EM) log likelihood = -36737.951
Iteration 2: (EM) log likelihood = -36195.073
Iteration 3: (EM) log likelihood = -35068.217
Iteration 4: (EM) log likelihood = -33933.315
Iteration 5: (EM) log likelihood = -33132.852
Iteration 6: (EM) log likelihood = -32537.505
Iteration 7: (EM) log likelihood = -32095.697
Iteration 8: (EM) log likelihood = -31775.381
Iteration 9: (EM) log likelihood = -31527.575
Iteration 10: (EM) log likelihood = -31315.321
Iteration 11: (EM) log likelihood = -31119.959
Iteration 12: (EM) log likelihood = -30928.539
Iteration 13: (EM) log likelihood = -30742.505
Iteration 14: (EM) log likelihood = -30561.828
Iteration 15: (EM) log likelihood = -30390.816
Iteration 16: (EM) log likelihood = -30233.437
Iteration 17: (EM) log likelihood = -30087.473
Iteration 18: (EM) log likelihood = -29954.814
Iteration 19: (EM) log likelihood = -29835.444
Iteration 20: (EM) log likelihood = -29729.017
Iteration 21: (EM) log likelihood = -29636.093
Iteration 22: (EM) log likelihood = -29558.332
Iteration 23: (EM) log likelihood = -29491.946
Iteration 24: (EM) log likelihood = -29435.015
Iteration 25: (EM) log likelihood = -29385.039
Iteration 26: (EM) log likelihood = -29341.592
Iteration 27: (EM) log likelihood = -29303.21
Iteration 28: (EM) log likelihood = -29270.171
Iteration 29: (EM) log likelihood = -29240.464
Iteration 30: (EM) log likelihood = -29214.618
Iteration 31: (EM) log likelihood = -29191.904
Iteration 32: (EM) log likelihood = -29170.849
Iteration 33: (EM) log likelihood = -29152.309
Iteration 34: (EM) log likelihood = -29134.684
Iteration 35: (EM) log likelihood = -29119.624
Iteration 36: (EM) log likelihood = -29105.614
Iteration 37: (EM) log likelihood = -29091.863
Iteration 38: (EM) log likelihood = -29079.07
Iteration 39: (EM) log likelihood = -29065.57
Iteration 40: (EM) log likelihood = -29053.626
Iteration 41: (EM) log likelihood = -29041.288
Iteration 42: (EM) log likelihood = -29028.682
Iteration 43: (EM) log likelihood = -29015.52
Iteration 44: (EM) log likelihood = -29001.871
Iteration 45: (EM) log likelihood = -28988.216
Iteration 46: (EM) log likelihood = -28972.847
Iteration 47: (EM) log likelihood = -28955.958
Iteration 48: (EM) log likelihood = -28938.941
Iteration 49: (EM) log likelihood = -28919.102
Iteration 50: (EM) log likelihood = -28899.01
Iteration 51: (EM) log likelihood = -28876.974
Iteration 52: (EM) log likelihood = -28852.504
Iteration 53: (EM) log likelihood = -28827.967
Iteration 54: (EM) log likelihood = -28802.866
Iteration 55: (EM) log likelihood = -28776.974
Iteration 56: (EM) log likelihood = -28752.865
Iteration 57: (EM) log likelihood = -28728.859
Iteration 58: (EM) log likelihood = -28704.205
Iteration 59: (EM) log likelihood = -28680.508
Iteration 60: (EM) log likelihood = -28658.004
Iteration 61: (EM) log likelihood = -28636.733
Iteration 62: (EM) log likelihood = -28615.951
Iteration 63: (EM) log likelihood = -28597.542
Iteration 64: (EM) log likelihood = -28580.48
Iteration 65: (EM) log likelihood = -28564.397
Iteration 66: (EM) log likelihood = -28550.578
Iteration 67: (EM) log likelihood = -28537.076
Iteration 68: (EM) log likelihood = -28525.84
Iteration 69: (EM) log likelihood = -28509.683
Iteration 70: (EM) log likelihood = -28499.769
Iteration 71: (EM) log likelihood = -28493.662
Iteration 72: (EM) log likelihood = -28484.81
Iteration 73: (EM) log likelihood = -28477.246
Iteration 74: (EM) log likelihood = -28470.204
Iteration 75: (EM) log likelihood = -28462.427
Iteration 76: (EM) log likelihood = -28456.077
Iteration 77: (EM) log likelihood = -28449.682
Iteration 78: (EM) log likelihood = -28443.963
Iteration 79: (EM) log likelihood = -28437.011
Iteration 80: (EM) log likelihood = -28432.341
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7877.9521
Iteration 1: (class) log likelihood = -7877.9521
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29831.163
Iteration 1: (outcome) log likelihood = -29270.1
Iteration 2: (outcome) log likelihood = -29118.788
Iteration 3: (outcome) log likelihood = -29095.054
Iteration 4: (outcome) log likelihood = -29090.856
Iteration 5: (outcome) log likelihood = -29089.907
Iteration 6: (outcome) log likelihood = -29089.678
Iteration 7: (outcome) log likelihood = -29089.63
Iteration 8: (outcome) log likelihood = -29089.62
Iteration 9: (outcome) log likelihood = -29089.617
Iteration 10: (outcome) log likelihood = -29089.617
Iteration 11: (outcome) log likelihood = -29089.617
Iteration 12: (outcome) log likelihood = -29089.617
Refining starting values:
Iteration 0: (EM) log likelihood = -36945.814
Iteration 1: (EM) log likelihood = -36850.727
Iteration 2: (EM) log likelihood = -36531.292
Iteration 3: (EM) log likelihood = -35753.263
Iteration 4: (EM) log likelihood = -34682.675
Iteration 5: (EM) log likelihood = -33736.018
Iteration 6: (EM) log likelihood = -32963.268
Iteration 7: (EM) log likelihood = -32323.888
Iteration 8: (EM) log likelihood = -31839.95
Iteration 9: (EM) log likelihood = -31489.485
Iteration 10: (EM) log likelihood = -31241.737
Iteration 11: (EM) log likelihood = -31061.169
Iteration 12: (EM) log likelihood = -30913.315
Iteration 13: (EM) log likelihood = -30777.729
Iteration 14: (EM) log likelihood = -30644.349
Iteration 15: (EM) log likelihood = -30508.122
Iteration 16: (EM) log likelihood = -30366.984
Iteration 17: (EM) log likelihood = -30224.164
Iteration 18: (EM) log likelihood = -30087.686
Iteration 19: (EM) log likelihood = -29962.482
Iteration 20: (EM) log likelihood = -29851.783
Iteration 21: (EM) log likelihood = -29758.468
Iteration 22: (EM) log likelihood = -29678.978
Iteration 23: (EM) log likelihood = -29605.314
Iteration 24: (EM) log likelihood = -29550.327
Iteration 25: (EM) log likelihood = -29498.346
Iteration 26: (EM) log likelihood = -29456.875
Iteration 27: (EM) log likelihood = -29421.322
Iteration 28: (EM) log likelihood = -29389.396
Iteration 29: (EM) log likelihood = -29359.268
Iteration 30: (EM) log likelihood = -29331.88
Iteration 31: (EM) log likelihood = -29307.601
Iteration 32: (EM) log likelihood = -29286.94
Iteration 33: (EM) log likelihood = -29264.79
Iteration 34: (EM) log likelihood = -29244.711
Iteration 35: (EM) log likelihood = -29223.464
Iteration 36: (EM) log likelihood = -29205.387
Iteration 37: (EM) log likelihood = -29184.847
Iteration 38: (EM) log likelihood = -29167.266
Iteration 39: (EM) log likelihood = -29149.978
Iteration 40: (EM) log likelihood = -29133.32
Iteration 41: (EM) log likelihood = -29113.605
Iteration 42: (EM) log likelihood = -29099.166
Iteration 43: (EM) log likelihood = -29085.023
Iteration 44: (EM) log likelihood = -29068.288
Iteration 45: (EM) log likelihood = -29052.658
Iteration 46: (EM) log likelihood = -29036.418
Iteration 47: (EM) log likelihood = -29020.024
Iteration 48: (EM) log likelihood = -29002.318
Iteration 49: (EM) log likelihood = -28984.982
Iteration 50: (EM) log likelihood = -28968.138
Iteration 51: (EM) log likelihood = -28951.279
Iteration 52: (EM) log likelihood = -28934.969
Iteration 53: (EM) log likelihood = -28918.82
Iteration 54: (EM) log likelihood = -28901.021
Iteration 55: (EM) log likelihood = -28885.52
Iteration 56: (EM) log likelihood = -28870.918
Iteration 57: (EM) log likelihood = -28857.318
Iteration 58: (EM) log likelihood = -28843.499
Iteration 59: (EM) log likelihood = -28831.151
Iteration 60: (EM) log likelihood = -28818.552
Iteration 61: (EM) log likelihood = -28807.995
Iteration 62: (EM) log likelihood = -28797.578
Iteration 63: (EM) log likelihood = -28787.099
Iteration 64: (EM) log likelihood = -28776.994
Iteration 65: (EM) log likelihood = -28767.494
Iteration 66: (EM) log likelihood = -28758.698
Iteration 67: (EM) log likelihood = -28749.67
Iteration 68: (EM) log likelihood = -28741.907
Iteration 69: (EM) log likelihood = -28734.598
Iteration 70: (EM) log likelihood = -28728.421
Iteration 71: (EM) log likelihood = -28721.725
Iteration 72: (EM) log likelihood = -28716.512
Iteration 73: (EM) log likelihood = -28709.822
Iteration 74: (EM) log likelihood = -28704.42
Iteration 75: (EM) log likelihood = -28697.71
Iteration 76: (EM) log likelihood = -28693.49
Iteration 77: (EM) log likelihood = -28689.597
Iteration 78: (EM) log likelihood = -28685.107
Iteration 79: (EM) log likelihood = -28682.408
Iteration 80: (EM) log likelihood = -28679.13
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7876.3401
Iteration 1: (class) log likelihood = -7876.3401
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30549.5
Iteration 1: (outcome) log likelihood = -29331.087
Iteration 2: (outcome) log likelihood = -29119.343
Iteration 3: (outcome) log likelihood = -29074.31
Iteration 4: (outcome) log likelihood = -29063.929
Iteration 5: (outcome) log likelihood = -29061.537
Iteration 6: (outcome) log likelihood = -29061.024
Iteration 7: (outcome) log likelihood = -29060.943
Iteration 8: (outcome) log likelihood = -29060.933
Iteration 9: (outcome) log likelihood = -29060.931
Iteration 10: (outcome) log likelihood = -29060.931
Iteration 11: (outcome) log likelihood = -29060.931
Iteration 12: (outcome) log likelihood = -29060.931
Refining starting values:
Iteration 0: (EM) log likelihood = -36884.075
Iteration 1: (EM) log likelihood = -36696.107
Iteration 2: (EM) log likelihood = -36172.337
Iteration 3: (EM) log likelihood = -35198.653
Iteration 4: (EM) log likelihood = -34074.203
Iteration 5: (EM) log likelihood = -33153.392
Iteration 6: (EM) log likelihood = -32500.945
Iteration 7: (EM) log likelihood = -31996.058
Iteration 8: (EM) log likelihood = -31541.896
Iteration 9: (EM) log likelihood = -31131.58
Iteration 10: (EM) log likelihood = -30799.428
Iteration 11: (EM) log likelihood = -30546.957
Iteration 12: (EM) log likelihood = -30353.783
Iteration 13: (EM) log likelihood = -30194.173
Iteration 14: (EM) log likelihood = -30060.544
Iteration 15: (EM) log likelihood = -29947.605
Iteration 16: (EM) log likelihood = -29851.594
Iteration 17: (EM) log likelihood = -29767.632
Iteration 18: (EM) log likelihood = -29698.596
Iteration 19: (EM) log likelihood = -29639.139
Iteration 20: (EM) log likelihood = -29589.099
Iteration 21: (EM) log likelihood = -29545.478
Iteration 22: (EM) log likelihood = -29505.827
Iteration 23: (EM) log likelihood = -29471.897
Iteration 24: (EM) log likelihood = -29440.823
Iteration 25: (EM) log likelihood = -29413.399
Iteration 26: (EM) log likelihood = -29390.392
Iteration 27: (EM) log likelihood = -29366.881
Iteration 28: (EM) log likelihood = -29348.05
Iteration 29: (EM) log likelihood = -29331.053
Iteration 30: (EM) log likelihood = -29316.765
Iteration 31: (EM) log likelihood = -29302.476
Iteration 32: (EM) log likelihood = -29292.048
Iteration 33: (EM) log likelihood = -29281.731
Iteration 34: (EM) log likelihood = -29271.57
Iteration 35: (EM) log likelihood = -29262.781
Iteration 36: (EM) log likelihood = -29254.275
Iteration 37: (EM) log likelihood = -29245.224
Iteration 38: (EM) log likelihood = -29237.266
Iteration 39: (EM) log likelihood = -29229.41
Iteration 40: (EM) log likelihood = -29221.533
Iteration 41: (EM) log likelihood = -29213.217
Iteration 42: (EM) log likelihood = -29206.678
Iteration 43: (EM) log likelihood = -29198.327
Iteration 44: (EM) log likelihood = -29190.373
Iteration 45: (EM) log likelihood = -29183.262
Iteration 46: (EM) log likelihood = -29176.168
Iteration 47: (EM) log likelihood = -29168.766
Iteration 48: (EM) log likelihood = -29162.371
Iteration 49: (EM) log likelihood = -29155.55
Iteration 50: (EM) log likelihood = -29149.579
Iteration 51: (EM) log likelihood = -29143.841
Iteration 52: (EM) log likelihood = -29138.281
Iteration 53: (EM) log likelihood = -29132.358
Iteration 54: (EM) log likelihood = -29126.986
Iteration 55: (EM) log likelihood = -29121.326
Iteration 56: (EM) log likelihood = -29115.388
Iteration 57: (EM) log likelihood = -29110.491
Iteration 58: (EM) log likelihood = -29101.792
Iteration 59: (EM) log likelihood = -29096.459
Iteration 60: (EM) log likelihood = -29091.551
Iteration 61: (EM) log likelihood = -29087.494
Iteration 62: (EM) log likelihood = -29083.34
Iteration 63: (EM) log likelihood = -29077.637
Iteration 64: (EM) log likelihood = -29073.599
Iteration 65: (EM) log likelihood = -29070.083
Iteration 66: (EM) log likelihood = -29066.557
Iteration 67: (EM) log likelihood = -29063.04
Iteration 68: (EM) log likelihood = -29059.859
Iteration 69: (EM) log likelihood = -29056.37
Iteration 70: (EM) log likelihood = -29053.295
Iteration 71: (EM) log likelihood = -29050.051
Iteration 72: (EM) log likelihood = -29046.612
Iteration 73: (EM) log likelihood = -29043.574
Iteration 74: (EM) log likelihood = -29040.46
Iteration 75: (EM) log likelihood = -29037.738
Iteration 76: (EM) log likelihood = -29034.918
Iteration 77: (EM) log likelihood = -29032.119
Iteration 78: (EM) log likelihood = -29029.681
Iteration 79: (EM) log likelihood = -29027.357
Iteration 80: (EM) log likelihood = -29025.131
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7877.35
Iteration 1: (class) log likelihood = -7877.35
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29975.513
Iteration 1: (outcome) log likelihood = -29280.05
Iteration 2: (outcome) log likelihood = -29125.285
Iteration 3: (outcome) log likelihood = -29097.595
Iteration 4: (outcome) log likelihood = -29090.704
Iteration 5: (outcome) log likelihood = -29089.401
Iteration 6: (outcome) log likelihood = -29089.181
Iteration 7: (outcome) log likelihood = -29089.129
Iteration 8: (outcome) log likelihood = -29089.117
Iteration 9: (outcome) log likelihood = -29089.115
Iteration 10: (outcome) log likelihood = -29089.114
Iteration 11: (outcome) log likelihood = -29089.114
Iteration 12: (outcome) log likelihood = -29089.114
Refining starting values:
Iteration 0: (EM) log likelihood = -36928.113
Iteration 1: (EM) log likelihood = -36773.922
Iteration 2: (EM) log likelihood = -36273.229
Iteration 3: (EM) log likelihood = -35218.9
Iteration 4: (EM) log likelihood = -34067.928
Iteration 5: (EM) log likelihood = -33238.16
Iteration 6: (EM) log likelihood = -32685.765
Iteration 7: (EM) log likelihood = -32277.543
Iteration 8: (EM) log likelihood = -31925.122
Iteration 9: (EM) log likelihood = -31590.988
Iteration 10: (EM) log likelihood = -31274.903
Iteration 11: (EM) log likelihood = -30989.296
Iteration 12: (EM) log likelihood = -30744.921
Iteration 13: (EM) log likelihood = -30546.176
Iteration 14: (EM) log likelihood = -30383.971
Iteration 15: (EM) log likelihood = -30250.642
Iteration 16: (EM) log likelihood = -30139.256
Iteration 17: (EM) log likelihood = -30045.939
Iteration 18: (EM) log likelihood = -29970.884
Iteration 19: (EM) log likelihood = -29908.469
Iteration 20: (EM) log likelihood = -29854.365
Iteration 21: (EM) log likelihood = -29808.351
Iteration 22: (EM) log likelihood = -29767.416
Iteration 23: (EM) log likelihood = -29730.882
Iteration 24: (EM) log likelihood = -29698.865
Iteration 25: (EM) log likelihood = -29669.88
Iteration 26: (EM) log likelihood = -29642.619
Iteration 27: (EM) log likelihood = -29617.362
Iteration 28: (EM) log likelihood = -29593.119
Iteration 29: (EM) log likelihood = -29570.03
Iteration 30: (EM) log likelihood = -29547.704
Iteration 31: (EM) log likelihood = -29526.184
Iteration 32: (EM) log likelihood = -29505.544
Iteration 33: (EM) log likelihood = -29485.74
Iteration 34: (EM) log likelihood = -29466.817
Iteration 35: (EM) log likelihood = -29448.799
Iteration 36: (EM) log likelihood = -29431.838
Iteration 37: (EM) log likelihood = -29415.739
Iteration 38: (EM) log likelihood = -29400.501
Iteration 39: (EM) log likelihood = -29386.225
Iteration 40: (EM) log likelihood = -29372.443
Iteration 41: (EM) log likelihood = -29358.926
Iteration 42: (EM) log likelihood = -29346.626
Iteration 43: (EM) log likelihood = -29335.074
Iteration 44: (EM) log likelihood = -29324.142
Iteration 45: (EM) log likelihood = -29313.802
Iteration 46: (EM) log likelihood = -29304.311
Iteration 47: (EM) log likelihood = -29295.398
Iteration 48: (EM) log likelihood = -29287.342
Iteration 49: (EM) log likelihood = -29279.594
Iteration 50: (EM) log likelihood = -29272.173
Iteration 51: (EM) log likelihood = -29265.135
Iteration 52: (EM) log likelihood = -29258.509
Iteration 53: (EM) log likelihood = -29252.49
Iteration 54: (EM) log likelihood = -29247.208
Iteration 55: (EM) log likelihood = -29242.236
Iteration 56: (EM) log likelihood = -29237.475
Iteration 57: (EM) log likelihood = -29232.997
Iteration 58: (EM) log likelihood = -29228.589
Iteration 59: (EM) log likelihood = -29224.232
Iteration 60: (EM) log likelihood = -29219.663
Iteration 61: (EM) log likelihood = -29214.955
Iteration 62: (EM) log likelihood = -29209.116
Iteration 63: (EM) log likelihood = -29202.998
Iteration 64: (EM) log likelihood = -29195.655
Iteration 65: (EM) log likelihood = -29186.613
Iteration 66: (EM) log likelihood = -29177.102
Iteration 67: (EM) log likelihood = -29166.858
Iteration 68: (EM) log likelihood = -29155.797
Iteration 69: (EM) log likelihood = -29145.051
Iteration 70: (EM) log likelihood = -29135.608
Iteration 71: (EM) log likelihood = -29127.274
Iteration 72: (EM) log likelihood = -29120.098
Iteration 73: (EM) log likelihood = -29114.088
Iteration 74: (EM) log likelihood = -29108.844
Iteration 75: (EM) log likelihood = -29104.836
Iteration 76: (EM) log likelihood = -29101.832
Iteration 77: (EM) log likelihood = -29098.822
Iteration 78: (EM) log likelihood = -29095.766
Iteration 79: (EM) log likelihood = -29092.235
Iteration 80: (EM) log likelihood = -29088.815
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7877.1593
Iteration 1: (class) log likelihood = -7877.1593
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30329.521
Iteration 1: (outcome) log likelihood = -29353.482
Iteration 2: (outcome) log likelihood = -29135.204
Iteration 3: (outcome) log likelihood = -29098.206
Iteration 4: (outcome) log likelihood = -29091.486
Iteration 5: (outcome) log likelihood = -29089.959
Iteration 6: (outcome) log likelihood = -29089.605
Iteration 7: (outcome) log likelihood = -29089.525
Iteration 8: (outcome) log likelihood = -29089.507
Iteration 9: (outcome) log likelihood = -29089.504
Iteration 10: (outcome) log likelihood = -29089.504
Iteration 11: (outcome) log likelihood = -29089.504
Iteration 12: (outcome) log likelihood = -29089.504
Refining starting values:
Iteration 0: (EM) log likelihood = -36933.677
Iteration 1: (EM) log likelihood = -36802.669
Iteration 2: (EM) log likelihood = -36386.62
Iteration 3: (EM) log likelihood = -35379.727
Iteration 4: (EM) log likelihood = -34015.948
Iteration 5: (EM) log likelihood = -33021.11
Iteration 6: (EM) log likelihood = -32396.434
Iteration 7: (EM) log likelihood = -31976.693
Iteration 8: (EM) log likelihood = -31673.197
Iteration 9: (EM) log likelihood = -31437.089
Iteration 10: (EM) log likelihood = -31240.894
Iteration 11: (EM) log likelihood = -31062.835
Iteration 12: (EM) log likelihood = -30890.714
Iteration 13: (EM) log likelihood = -30716.556
Iteration 14: (EM) log likelihood = -30542.037
Iteration 15: (EM) log likelihood = -30379.831
Iteration 16: (EM) log likelihood = -30230.994
Iteration 17: (EM) log likelihood = -30093.635
Iteration 18: (EM) log likelihood = -29968.416
Iteration 19: (EM) log likelihood = -29849.35
Iteration 20: (EM) log likelihood = -29732.481
Iteration 21: (EM) log likelihood = -29620.681
Iteration 22: (EM) log likelihood = -29516.131
Iteration 23: (EM) log likelihood = -29421.136
Iteration 24: (EM) log likelihood = -29339.402
Iteration 25: (EM) log likelihood = -29272.194
Iteration 26: (EM) log likelihood = -29215.45
Iteration 27: (EM) log likelihood = -29168.239
Iteration 28: (EM) log likelihood = -29129.12
Iteration 29: (EM) log likelihood = -29097.092
Iteration 30: (EM) log likelihood = -29068.554
Iteration 31: (EM) log likelihood = -29043.809
Iteration 32: (EM) log likelihood = -29021.986
Iteration 33: (EM) log likelihood = -29001.535
Iteration 34: (EM) log likelihood = -28982.541
Iteration 35: (EM) log likelihood = -28962.622
Iteration 36: (EM) log likelihood = -28944.139
Iteration 37: (EM) log likelihood = -28926.07
Iteration 38: (EM) log likelihood = -28908.059
Iteration 39: (EM) log likelihood = -28889.785
Iteration 40: (EM) log likelihood = -28870.76
Iteration 41: (EM) log likelihood = -28852.076
Iteration 42: (EM) log likelihood = -28833.864
Iteration 43: (EM) log likelihood = -28815.661
Iteration 44: (EM) log likelihood = -28799.482
Iteration 45: (EM) log likelihood = -28781.145
Iteration 46: (EM) log likelihood = -28763.018
Iteration 47: (EM) log likelihood = -28744.395
Iteration 48: (EM) log likelihood = -28725.001
Iteration 49: (EM) log likelihood = -28706.772
Iteration 50: (EM) log likelihood = -28689.252
Iteration 51: (EM) log likelihood = -28673.395
Iteration 52: (EM) log likelihood = -28658.361
Iteration 53: (EM) log likelihood = -28643.993
Iteration 54: (EM) log likelihood = -28628.903
Iteration 55: (EM) log likelihood = -28615.227
Iteration 56: (EM) log likelihood = -28600.618
Iteration 57: (EM) log likelihood = -28581.048
Iteration 58: (EM) log likelihood = -28563.529
Iteration 59: (EM) log likelihood = -28550.723
Iteration 60: (EM) log likelihood = -28537.946
Iteration 61: (EM) log likelihood = -28525.634
Iteration 62: (EM) log likelihood = -28515.129
Iteration 63: (EM) log likelihood = -28504.758
Iteration 64: (EM) log likelihood = -28495.302
Iteration 65: (EM) log likelihood = -28484.548
Iteration 66: (EM) log likelihood = -28474.66
Iteration 67: (EM) log likelihood = -28465.945
Iteration 68: (EM) log likelihood = -28458.383
Iteration 69: (EM) log likelihood = -28452.178
Iteration 70: (EM) log likelihood = -28442.319
Iteration 71: (EM) log likelihood = -28433.005
Iteration 72: (EM) log likelihood = -28425.949
Iteration 73: (EM) log likelihood = -28418.916
Iteration 74: (EM) log likelihood = -28412.495
Iteration 75: (EM) log likelihood = -28405.546
Iteration 76: (EM) log likelihood = -28399.114
Iteration 77: (EM) log likelihood = -28391.663
Iteration 78: (EM) log likelihood = -28384.3
Iteration 79: (EM) log likelihood = -28378.68
Iteration 80: (EM) log likelihood = -28371.935
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7872.448
Iteration 1: (class) log likelihood = -7872.448
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30063.832
Iteration 1: (outcome) log likelihood = -29281.896
Iteration 2: (outcome) log likelihood = -29110.956
Iteration 3: (outcome) log likelihood = -29080.53
Iteration 4: (outcome) log likelihood = -29073.586
Iteration 5: (outcome) log likelihood = -29072.171
Iteration 6: (outcome) log likelihood = -29071.924
Iteration 7: (outcome) log likelihood = -29071.868
Iteration 8: (outcome) log likelihood = -29071.854
Iteration 9: (outcome) log likelihood = -29071.851
Iteration 10: (outcome) log likelihood = -29071.85
Iteration 11: (outcome) log likelihood = -29071.85
Iteration 12: (outcome) log likelihood = -29071.85
Refining starting values:
Iteration 0: (EM) log likelihood = -36880.45
Iteration 1: (EM) log likelihood = -36638.626
Iteration 2: (EM) log likelihood = -35948.945
Iteration 3: (EM) log likelihood = -34792.36
Iteration 4: (EM) log likelihood = -33729.279
Iteration 5: (EM) log likelihood = -32967.487
Iteration 6: (EM) log likelihood = -32397.206
Iteration 7: (EM) log likelihood = -31924.787
Iteration 8: (EM) log likelihood = -31538.901
Iteration 9: (EM) log likelihood = -31216.442
Iteration 10: (EM) log likelihood = -30921.08
Iteration 11: (EM) log likelihood = -30645.064
Iteration 12: (EM) log likelihood = -30395.174
Iteration 13: (EM) log likelihood = -30178.151
Iteration 14: (EM) log likelihood = -29998.484
Iteration 15: (EM) log likelihood = -29846.378
Iteration 16: (EM) log likelihood = -29719.356
Iteration 17: (EM) log likelihood = -29613.335
Iteration 18: (EM) log likelihood = -29524.576
Iteration 19: (EM) log likelihood = -29449.295
Iteration 20: (EM) log likelihood = -29385.898
Iteration 21: (EM) log likelihood = -29333.149
Iteration 22: (EM) log likelihood = -29288.135
Iteration 23: (EM) log likelihood = -29250.242
Iteration 24: (EM) log likelihood = -29218.283
Iteration 25: (EM) log likelihood = -29191.074
Iteration 26: (EM) log likelihood = -29167.711
Iteration 27: (EM) log likelihood = -29147.447
Iteration 28: (EM) log likelihood = -29129.079
Iteration 29: (EM) log likelihood = -29111.704
Iteration 30: (EM) log likelihood = -29094.627
Iteration 31: (EM) log likelihood = -29079.42
Iteration 32: (EM) log likelihood = -29065.738
Iteration 33: (EM) log likelihood = -29053.484
Iteration 34: (EM) log likelihood = -29039.438
Iteration 35: (EM) log likelihood = -29028.982
Iteration 36: (EM) log likelihood = -29018.407
Iteration 37: (EM) log likelihood = -29008.53
Iteration 38: (EM) log likelihood = -28998.249
Iteration 39: (EM) log likelihood = -28988.621
Iteration 40: (EM) log likelihood = -28980.387
Iteration 41: (EM) log likelihood = -28971.545
Iteration 42: (EM) log likelihood = -28963.17
Iteration 43: (EM) log likelihood = -28954.208
Iteration 44: (EM) log likelihood = -28943.958
Iteration 45: (EM) log likelihood = -28934.434
Iteration 46: (EM) log likelihood = -28925.253
Iteration 47: (EM) log likelihood = -28916
Iteration 48: (EM) log likelihood = -28908.639
Iteration 49: (EM) log likelihood = -28900.991
Iteration 50: (EM) log likelihood = -28894.4
Iteration 51: (EM) log likelihood = -28887.987
Iteration 52: (EM) log likelihood = -28881.084
Iteration 53: (EM) log likelihood = -28873.772
Iteration 54: (EM) log likelihood = -28864.907
Iteration 55: (EM) log likelihood = -28857.021
Iteration 56: (EM) log likelihood = -28850.537
Iteration 57: (EM) log likelihood = -28842.585
Iteration 58: (EM) log likelihood = -28836.249
Iteration 59: (EM) log likelihood = -28829.445
Iteration 60: (EM) log likelihood = -28821.563
Iteration 61: (EM) log likelihood = -28814.963
Iteration 62: (EM) log likelihood = -28809.171
Iteration 63: (EM) log likelihood = -28803.213
Iteration 64: (EM) log likelihood = -28796.751
Iteration 65: (EM) log likelihood = -28790.683
Iteration 66: (EM) log likelihood = -28784.632
Iteration 67: (EM) log likelihood = -28778.606
Iteration 68: (EM) log likelihood = -28772.306
Iteration 69: (EM) log likelihood = -28765.865
Iteration 70: (EM) log likelihood = -28759.4
Iteration 71: (EM) log likelihood = -28754.527
Iteration 72: (EM) log likelihood = -28748.679
Iteration 73: (EM) log likelihood = -28742.509
Iteration 74: (EM) log likelihood = -28737.16
Iteration 75: (EM) log likelihood = -28732.747
Iteration 76: (EM) log likelihood = -28727.496
Iteration 77: (EM) log likelihood = -28718.183
Iteration 78: (EM) log likelihood = -28715.446
Iteration 79: (EM) log likelihood = -28712.122
Iteration 80: (EM) log likelihood = -28706.764
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7877.2387
Iteration 1: (class) log likelihood = -7877.2387
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29830.554
Iteration 1: (outcome) log likelihood = -29247.615
Iteration 2: (outcome) log likelihood = -29120.145
Iteration 3: (outcome) log likelihood = -29095.638
Iteration 4: (outcome) log likelihood = -29091.482
Iteration 5: (outcome) log likelihood = -29090.53
Iteration 6: (outcome) log likelihood = -29090.295
Iteration 7: (outcome) log likelihood = -29090.248
Iteration 8: (outcome) log likelihood = -29090.238
Iteration 9: (outcome) log likelihood = -29090.236
Iteration 10: (outcome) log likelihood = -29090.235
Iteration 11: (outcome) log likelihood = -29090.235
Iteration 12: (outcome) log likelihood = -29090.235
Refining starting values:
Iteration 0: (EM) log likelihood = -36929.909
Iteration 1: (EM) log likelihood = -36765.873
Iteration 2: (EM) log likelihood = -36188.511
Iteration 3: (EM) log likelihood = -34948.238
Iteration 4: (EM) log likelihood = -33722.685
Iteration 5: (EM) log likelihood = -32889.044
Iteration 6: (EM) log likelihood = -32323.088
Iteration 7: (EM) log likelihood = -31924.837
Iteration 8: (EM) log likelihood = -31626.907
Iteration 9: (EM) log likelihood = -31373.569
Iteration 10: (EM) log likelihood = -31132.746
Iteration 11: (EM) log likelihood = -30898.518
Iteration 12: (EM) log likelihood = -30670.49
Iteration 13: (EM) log likelihood = -30455.973
Iteration 14: (EM) log likelihood = -30265.883
Iteration 15: (EM) log likelihood = -30104.495
Iteration 16: (EM) log likelihood = -29971.978
Iteration 17: (EM) log likelihood = -29861.409
Iteration 18: (EM) log likelihood = -29765.922
Iteration 19: (EM) log likelihood = -29684.233
Iteration 20: (EM) log likelihood = -29612.742
Iteration 21: (EM) log likelihood = -29549.321
Iteration 22: (EM) log likelihood = -29492.593
Iteration 23: (EM) log likelihood = -29440.159
Iteration 24: (EM) log likelihood = -29391.321
Iteration 25: (EM) log likelihood = -29348.033
Iteration 26: (EM) log likelihood = -29311.772
Iteration 27: (EM) log likelihood = -29280.175
Iteration 28: (EM) log likelihood = -29256.092
Iteration 29: (EM) log likelihood = -29236.102
Iteration 30: (EM) log likelihood = -29215.854
Iteration 31: (EM) log likelihood = -29194.645
Iteration 32: (EM) log likelihood = -29178.718
Iteration 33: (EM) log likelihood = -29166.207
Iteration 34: (EM) log likelihood = -29155.28
Iteration 35: (EM) log likelihood = -29146.262
Iteration 36: (EM) log likelihood = -29138.486
Iteration 37: (EM) log likelihood = -29132.152
Iteration 38: (EM) log likelihood = -29124.995
Iteration 39: (EM) log likelihood = -29117.173
Iteration 40: (EM) log likelihood = -29111.085
Iteration 41: (EM) log likelihood = -29104.494
Iteration 42: (EM) log likelihood = -29098.085
Iteration 43: (EM) log likelihood = -29091.777
Iteration 44: (EM) log likelihood = -29085.637
Iteration 45: (EM) log likelihood = -29079.58
Iteration 46: (EM) log likelihood = -29073.494
Iteration 47: (EM) log likelihood = -29067.51
Iteration 48: (EM) log likelihood = -29061.598
Iteration 49: (EM) log likelihood = -29055.969
Iteration 50: (EM) log likelihood = -29050.284
Iteration 51: (EM) log likelihood = -29044.958
Iteration 52: (EM) log likelihood = -29039.222
Iteration 53: (EM) log likelihood = -29033.543
Iteration 54: (EM) log likelihood = -29028.523
Iteration 55: (EM) log likelihood = -29022.56
Iteration 56: (EM) log likelihood = -29017.895
Iteration 57: (EM) log likelihood = -29013.448
Iteration 58: (EM) log likelihood = -29008.21
Iteration 59: (EM) log likelihood = -29002.708
Iteration 60: (EM) log likelihood = -28997.555
Iteration 61: (EM) log likelihood = -28992.677
Iteration 62: (EM) log likelihood = -28985.635
Iteration 63: (EM) log likelihood = -28980.62
Iteration 64: (EM) log likelihood = -28972.227
Iteration 65: (EM) log likelihood = -28967.162
Iteration 66: (EM) log likelihood = -28962.469
Iteration 67: (EM) log likelihood = -28958.286
Iteration 68: (EM) log likelihood = -28950.373
Iteration 69: (EM) log likelihood = -28945.074
Iteration 70: (EM) log likelihood = -28940.72
Iteration 71: (EM) log likelihood = -28935.159
Iteration 72: (EM) log likelihood = -28929.884
Iteration 73: (EM) log likelihood = -28923.837
Iteration 74: (EM) log likelihood = -28918.274
Iteration 75: (EM) log likelihood = -28911.529
Iteration 76: (EM) log likelihood = -28904.86
Iteration 77: (EM) log likelihood = -28899.719
Iteration 78: (EM) log likelihood = -28893.968
Iteration 79: (EM) log likelihood = -28887.73
Iteration 80: (EM) log likelihood = -28881.626
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7875.1076
Iteration 1: (class) log likelihood = -7875.1076
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30230.866
Iteration 1: (outcome) log likelihood = -29309.565
Iteration 2: (outcome) log likelihood = -29126.405
Iteration 3: (outcome) log likelihood = -29089.048
Iteration 4: (outcome) log likelihood = -29080.593
Iteration 5: (outcome) log likelihood = -29078.84
Iteration 6: (outcome) log likelihood = -29078.549
Iteration 7: (outcome) log likelihood = -29078.48
Iteration 8: (outcome) log likelihood = -29078.465
Iteration 9: (outcome) log likelihood = -29078.461
Iteration 10: (outcome) log likelihood = -29078.461
Iteration 11: (outcome) log likelihood = -29078.461
Iteration 12: (outcome) log likelihood = -29078.461
Refining starting values:
Iteration 0: (EM) log likelihood = -36915.065
Iteration 1: (EM) log likelihood = -36768.783
Iteration 2: (EM) log likelihood = -36320.397
Iteration 3: (EM) log likelihood = -35350.277
Iteration 4: (EM) log likelihood = -34117.854
Iteration 5: (EM) log likelihood = -33145.972
Iteration 6: (EM) log likelihood = -32508.578
Iteration 7: (EM) log likelihood = -32084.214
Iteration 8: (EM) log likelihood = -31757.164
Iteration 9: (EM) log likelihood = -31466.763
Iteration 10: (EM) log likelihood = -31180.283
Iteration 11: (EM) log likelihood = -30901.92
Iteration 12: (EM) log likelihood = -30636.485
Iteration 13: (EM) log likelihood = -30403.76
Iteration 14: (EM) log likelihood = -30206.095
Iteration 15: (EM) log likelihood = -30032.786
Iteration 16: (EM) log likelihood = -29882.492
Iteration 17: (EM) log likelihood = -29748.266
Iteration 18: (EM) log likelihood = -29627.632
Iteration 19: (EM) log likelihood = -29517.754
Iteration 20: (EM) log likelihood = -29417.805
Iteration 21: (EM) log likelihood = -29326.592
Iteration 22: (EM) log likelihood = -29245.486
Iteration 23: (EM) log likelihood = -29172.722
Iteration 24: (EM) log likelihood = -29107.18
Iteration 25: (EM) log likelihood = -29048.334
Iteration 26: (EM) log likelihood = -28993.398
Iteration 27: (EM) log likelihood = -28941.22
Iteration 28: (EM) log likelihood = -28889.727
Iteration 29: (EM) log likelihood = -28839.31
Iteration 30: (EM) log likelihood = -28790.694
Iteration 31: (EM) log likelihood = -28747.622
Iteration 32: (EM) log likelihood = -28710.265
Iteration 33: (EM) log likelihood = -28678.098
Iteration 34: (EM) log likelihood = -28651.145
Iteration 35: (EM) log likelihood = -28628.101
Iteration 36: (EM) log likelihood = -28608.91
Iteration 37: (EM) log likelihood = -28593.313
Iteration 38: (EM) log likelihood = -28579.93
Iteration 39: (EM) log likelihood = -28568.407
Iteration 40: (EM) log likelihood = -28556.404
Iteration 41: (EM) log likelihood = -28548.447
Iteration 42: (EM) log likelihood = -28541.68
Iteration 43: (EM) log likelihood = -28534.961
Iteration 44: (EM) log likelihood = -28529.268
Iteration 45: (EM) log likelihood = -28524.404
Iteration 46: (EM) log likelihood = -28519.938
Iteration 47: (EM) log likelihood = -28516.249
Iteration 48: (EM) log likelihood = -28512.898
Iteration 49: (EM) log likelihood = -28510.059
Iteration 50: (EM) log likelihood = -28507.927
Iteration 51: (EM) log likelihood = -28505.483
Iteration 52: (EM) log likelihood = -28504.272
Iteration 53: (EM) log likelihood = -28502.584
Iteration 54: (EM) log likelihood = -28501.198
Iteration 55: (EM) log likelihood = -28500.043
Iteration 56: (EM) log likelihood = -28499.1
Iteration 57: (EM) log likelihood = -28498.35
Iteration 58: (EM) log likelihood = -28497.714
Iteration 59: (EM) log likelihood = -28497.312
Iteration 60: (EM) log likelihood = -28497.135
Iteration 61: (EM) log likelihood = -28496.504
Iteration 62: (EM) log likelihood = -28496.664
Iteration 63: (EM) log likelihood = -28496.579
Iteration 64: (EM) log likelihood = -28496.708
Iteration 65: (EM) log likelihood = -28497.059
Iteration 66: (EM) log likelihood = -28497.325
Iteration 67: (EM) log likelihood = -28497.882
Iteration 68: (EM) log likelihood = -28498.147
Iteration 69: (EM) log likelihood = -28498.166
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7878.4365
Iteration 1: (class) log likelihood = -7878.4365
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30589.764
Iteration 1: (outcome) log likelihood = -29385.99
Iteration 2: (outcome) log likelihood = -29133.848
Iteration 3: (outcome) log likelihood = -29093.103
Iteration 4: (outcome) log likelihood = -29084.94
Iteration 5: (outcome) log likelihood = -29083.148
Iteration 6: (outcome) log likelihood = -29082.751
Iteration 7: (outcome) log likelihood = -29082.654
Iteration 8: (outcome) log likelihood = -29082.634
Iteration 9: (outcome) log likelihood = -29082.629
Iteration 10: (outcome) log likelihood = -29082.628
Iteration 11: (outcome) log likelihood = -29082.628
Iteration 12: (outcome) log likelihood = -29082.628
Iteration 13: (outcome) log likelihood = -29082.628
Refining starting values:
Iteration 0: (EM) log likelihood = -36929.244
Iteration 1: (EM) log likelihood = -36819.089
Iteration 2: (EM) log likelihood = -36460.489
Iteration 3: (EM) log likelihood = -35531.615
Iteration 4: (EM) log likelihood = -34253.152
Iteration 5: (EM) log likelihood = -33292.571
Iteration 6: (EM) log likelihood = -32684.703
Iteration 7: (EM) log likelihood = -32262.511
Iteration 8: (EM) log likelihood = -31920.385
Iteration 9: (EM) log likelihood = -31604.566
Iteration 10: (EM) log likelihood = -31308.779
Iteration 11: (EM) log likelihood = -31041.315
Iteration 12: (EM) log likelihood = -30808.282
Iteration 13: (EM) log likelihood = -30616.136
Iteration 14: (EM) log likelihood = -30456.953
Iteration 15: (EM) log likelihood = -30328.509
Iteration 16: (EM) log likelihood = -30221.703
Iteration 17: (EM) log likelihood = -30133.372
Iteration 18: (EM) log likelihood = -30058.486
Iteration 19: (EM) log likelihood = -29996.07
Iteration 20: (EM) log likelihood = -29943.369
Iteration 21: (EM) log likelihood = -29897.223
Iteration 22: (EM) log likelihood = -29855.141
Iteration 23: (EM) log likelihood = -29817.819
Iteration 24: (EM) log likelihood = -29782.966
Iteration 25: (EM) log likelihood = -29753.245
Iteration 26: (EM) log likelihood = -29725.455
Iteration 27: (EM) log likelihood = -29697
Iteration 28: (EM) log likelihood = -29671.386
Iteration 29: (EM) log likelihood = -29646.426
Iteration 30: (EM) log likelihood = -29622.385
Iteration 31: (EM) log likelihood = -29600.511
Iteration 32: (EM) log likelihood = -29579.166
Iteration 33: (EM) log likelihood = -29558.259
Iteration 34: (EM) log likelihood = -29539.316
Iteration 35: (EM) log likelihood = -29520.279
Iteration 36: (EM) log likelihood = -29501.366
Iteration 37: (EM) log likelihood = -29481.972
Iteration 38: (EM) log likelihood = -29462.313
Iteration 39: (EM) log likelihood = -29443.298
Iteration 40: (EM) log likelihood = -29424.035
Iteration 41: (EM) log likelihood = -29404.462
Iteration 42: (EM) log likelihood = -29383.689
Iteration 43: (EM) log likelihood = -29361.698
Iteration 44: (EM) log likelihood = -29338.613
Iteration 45: (EM) log likelihood = -29314.437
Iteration 46: (EM) log likelihood = -29289.532
Iteration 47: (EM) log likelihood = -29264.609
Iteration 48: (EM) log likelihood = -29238.731
Iteration 49: (EM) log likelihood = -29213.629
Iteration 50: (EM) log likelihood = -29188.543
Iteration 51: (EM) log likelihood = -29165.425
Iteration 52: (EM) log likelihood = -29144.097
Iteration 53: (EM) log likelihood = -29123.527
Iteration 54: (EM) log likelihood = -29105.516
Iteration 55: (EM) log likelihood = -29088.433
Iteration 56: (EM) log likelihood = -29073.268
Iteration 57: (EM) log likelihood = -29059.307
Iteration 58: (EM) log likelihood = -29047.472
Iteration 59: (EM) log likelihood = -29037.489
Iteration 60: (EM) log likelihood = -29027.22
Iteration 61: (EM) log likelihood = -29018.014
Iteration 62: (EM) log likelihood = -29009.525
Iteration 63: (EM) log likelihood = -29001.121
Iteration 64: (EM) log likelihood = -28993.168
Iteration 65: (EM) log likelihood = -28986.201
Iteration 66: (EM) log likelihood = -28979.454
Iteration 67: (EM) log likelihood = -28973.855
Iteration 68: (EM) log likelihood = -28968.628
Iteration 69: (EM) log likelihood = -28963.383
Iteration 70: (EM) log likelihood = -28957.548
Iteration 71: (EM) log likelihood = -28951.631
Iteration 72: (EM) log likelihood = -28945.569
Iteration 73: (EM) log likelihood = -28940.668
Iteration 74: (EM) log likelihood = -28934.844
Iteration 75: (EM) log likelihood = -28929.353
Iteration 76: (EM) log likelihood = -28923.347
Iteration 77: (EM) log likelihood = -28917.365
Iteration 78: (EM) log likelihood = -28912.155
Iteration 79: (EM) log likelihood = -28906.235
Iteration 80: (EM) log likelihood = -28900.514
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7874.29
Iteration 1: (class) log likelihood = -7874.29
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30826.418
Iteration 1: (outcome) log likelihood = -29367.354
Iteration 2: (outcome) log likelihood = -29137.013
Iteration 3: (outcome) log likelihood = -29083.759
Iteration 4: (outcome) log likelihood = -29071.62
Iteration 5: (outcome) log likelihood = -29068.888
Iteration 6: (outcome) log likelihood = -29068.28
Iteration 7: (outcome) log likelihood = -29068.192
Iteration 8: (outcome) log likelihood = -29068.181
Iteration 9: (outcome) log likelihood = -29068.179
Iteration 10: (outcome) log likelihood = -29068.179
Iteration 11: (outcome) log likelihood = -29068.179
Iteration 12: (outcome) log likelihood = -29068.179
Refining starting values:
Iteration 0: (EM) log likelihood = -36919.196
Iteration 1: (EM) log likelihood = -36822.312
Iteration 2: (EM) log likelihood = -36514.587
Iteration 3: (EM) log likelihood = -35745.793
Iteration 4: (EM) log likelihood = -34600.572
Iteration 5: (EM) log likelihood = -33529.773
Iteration 6: (EM) log likelihood = -32692.2
Iteration 7: (EM) log likelihood = -32051.774
Iteration 8: (EM) log likelihood = -31554.317
Iteration 9: (EM) log likelihood = -31174.431
Iteration 10: (EM) log likelihood = -30891.612
Iteration 11: (EM) log likelihood = -30677.969
Iteration 12: (EM) log likelihood = -30509.502
Iteration 13: (EM) log likelihood = -30366.159
Iteration 14: (EM) log likelihood = -30243.328
Iteration 15: (EM) log likelihood = -30137.446
Iteration 16: (EM) log likelihood = -30047.402
Iteration 17: (EM) log likelihood = -29968.527
Iteration 18: (EM) log likelihood = -29898.68
Iteration 19: (EM) log likelihood = -29834.049
Iteration 20: (EM) log likelihood = -29777.228
Iteration 21: (EM) log likelihood = -29724.129
Iteration 22: (EM) log likelihood = -29676.126
Iteration 23: (EM) log likelihood = -29632.27
Iteration 24: (EM) log likelihood = -29593.006
Iteration 25: (EM) log likelihood = -29556.014
Iteration 26: (EM) log likelihood = -29523.583
Iteration 27: (EM) log likelihood = -29494.141
Iteration 28: (EM) log likelihood = -29467.16
Iteration 29: (EM) log likelihood = -29443.111
Iteration 30: (EM) log likelihood = -29422.103
Iteration 31: (EM) log likelihood = -29404.167
Iteration 32: (EM) log likelihood = -29386.657
Iteration 33: (EM) log likelihood = -29371.504
Iteration 34: (EM) log likelihood = -29356.791
Iteration 35: (EM) log likelihood = -29342.94
Iteration 36: (EM) log likelihood = -29330.581
Iteration 37: (EM) log likelihood = -29317.659
Iteration 38: (EM) log likelihood = -29304.849
Iteration 39: (EM) log likelihood = -29292.114
Iteration 40: (EM) log likelihood = -29279.372
Iteration 41: (EM) log likelihood = -29266.66
Iteration 42: (EM) log likelihood = -29253.526
Iteration 43: (EM) log likelihood = -29241.299
Iteration 44: (EM) log likelihood = -29227.925
Iteration 45: (EM) log likelihood = -29215.605
Iteration 46: (EM) log likelihood = -29202.682
Iteration 47: (EM) log likelihood = -29190.032
Iteration 48: (EM) log likelihood = -29176.607
Iteration 49: (EM) log likelihood = -29163.546
Iteration 50: (EM) log likelihood = -29150.707
Iteration 51: (EM) log likelihood = -29138.525
Iteration 52: (EM) log likelihood = -29126.09
Iteration 53: (EM) log likelihood = -29114.84
Iteration 54: (EM) log likelihood = -29103.935
Iteration 55: (EM) log likelihood = -29092.507
Iteration 56: (EM) log likelihood = -29081.591
Iteration 57: (EM) log likelihood = -29071.078
Iteration 58: (EM) log likelihood = -29061.561
Iteration 59: (EM) log likelihood = -29051.559
Iteration 60: (EM) log likelihood = -29042.721
Iteration 61: (EM) log likelihood = -29034.311
Iteration 62: (EM) log likelihood = -29026.423
Iteration 63: (EM) log likelihood = -29018.64
Iteration 64: (EM) log likelihood = -29011.088
Iteration 65: (EM) log likelihood = -29003.717
Iteration 66: (EM) log likelihood = -28996.289
Iteration 67: (EM) log likelihood = -28989.702
Iteration 68: (EM) log likelihood = -28982.01
Iteration 69: (EM) log likelihood = -28974.373
Iteration 70: (EM) log likelihood = -28967.071
Iteration 71: (EM) log likelihood = -28958.39
Iteration 72: (EM) log likelihood = -28950.116
Iteration 73: (EM) log likelihood = -28941.27
Iteration 74: (EM) log likelihood = -28932.571
Iteration 75: (EM) log likelihood = -28923.204
Iteration 76: (EM) log likelihood = -28913.586
Iteration 77: (EM) log likelihood = -28903.453
Iteration 78: (EM) log likelihood = -28892.254
Iteration 79: (EM) log likelihood = -28881.068
Iteration 80: (EM) log likelihood = -28868.745
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7878.4074
Iteration 1: (class) log likelihood = -7878.4074
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30223.651
Iteration 1: (outcome) log likelihood = -29295.743
Iteration 2: (outcome) log likelihood = -29141.73
Iteration 3: (outcome) log likelihood = -29106.751
Iteration 4: (outcome) log likelihood = -29099.14
Iteration 5: (outcome) log likelihood = -29097.513
Iteration 6: (outcome) log likelihood = -29097.239
Iteration 7: (outcome) log likelihood = -29097.174
Iteration 8: (outcome) log likelihood = -29097.159
Iteration 9: (outcome) log likelihood = -29097.156
Iteration 10: (outcome) log likelihood = -29097.156
Iteration 11: (outcome) log likelihood = -29097.156
Iteration 12: (outcome) log likelihood = -29097.156
Refining starting values:
Iteration 0: (EM) log likelihood = -36947.906
Iteration 1: (EM) log likelihood = -36821.888
Iteration 2: (EM) log likelihood = -36391.945
Iteration 3: (EM) log likelihood = -35404.578
Iteration 4: (EM) log likelihood = -34154.906
Iteration 5: (EM) log likelihood = -33159.793
Iteration 6: (EM) log likelihood = -32450.935
Iteration 7: (EM) log likelihood = -31910.308
Iteration 8: (EM) log likelihood = -31466.953
Iteration 9: (EM) log likelihood = -31101.728
Iteration 10: (EM) log likelihood = -30809.947
Iteration 11: (EM) log likelihood = -30576.23
Iteration 12: (EM) log likelihood = -30380.095
Iteration 13: (EM) log likelihood = -30220.179
Iteration 14: (EM) log likelihood = -30084.208
Iteration 15: (EM) log likelihood = -29965.214
Iteration 16: (EM) log likelihood = -29861.127
Iteration 17: (EM) log likelihood = -29766.053
Iteration 18: (EM) log likelihood = -29683.457
Iteration 19: (EM) log likelihood = -29606.778
Iteration 20: (EM) log likelihood = -29540.003
Iteration 21: (EM) log likelihood = -29481.796
Iteration 22: (EM) log likelihood = -29431.655
Iteration 23: (EM) log likelihood = -29389.618
Iteration 24: (EM) log likelihood = -29352.089
Iteration 25: (EM) log likelihood = -29318.753
Iteration 26: (EM) log likelihood = -29289.292
Iteration 27: (EM) log likelihood = -29264.117
Iteration 28: (EM) log likelihood = -29240.843
Iteration 29: (EM) log likelihood = -29219.412
Iteration 30: (EM) log likelihood = -29201.595
Iteration 31: (EM) log likelihood = -29183.967
Iteration 32: (EM) log likelihood = -29167.507
Iteration 33: (EM) log likelihood = -29152.447
Iteration 34: (EM) log likelihood = -29138.459
Iteration 35: (EM) log likelihood = -29125.583
Iteration 36: (EM) log likelihood = -29112.553
Iteration 37: (EM) log likelihood = -29099.688
Iteration 38: (EM) log likelihood = -29089.451
Iteration 39: (EM) log likelihood = -29079.714
Iteration 40: (EM) log likelihood = -29070.705
Iteration 41: (EM) log likelihood = -29062.635
Iteration 42: (EM) log likelihood = -29053.305
Iteration 43: (EM) log likelihood = -29044.591
Iteration 44: (EM) log likelihood = -29037.875
Iteration 45: (EM) log likelihood = -29033.619
Iteration 46: (EM) log likelihood = -29026.753
Iteration 47: (EM) log likelihood = -29019.86
Iteration 48: (EM) log likelihood = -29013.797
Iteration 49: (EM) log likelihood = -29007.091
Iteration 50: (EM) log likelihood = -29001.557
Iteration 51: (EM) log likelihood = -28996.118
Iteration 52: (EM) log likelihood = -28992.602
Iteration 53: (EM) log likelihood = -28987.422
Iteration 54: (EM) log likelihood = -28983.741
Iteration 55: (EM) log likelihood = -28979.644
Iteration 56: (EM) log likelihood = -28975.308
Iteration 57: (EM) log likelihood = -28970.663
Iteration 58: (EM) log likelihood = -28966.441
Iteration 59: (EM) log likelihood = -28962.546
Iteration 60: (EM) log likelihood = -28958.656
Iteration 61: (EM) log likelihood = -28955.362
Iteration 62: (EM) log likelihood = -28951.472
Iteration 63: (EM) log likelihood = -28947.853
Iteration 64: (EM) log likelihood = -28944.858
Iteration 65: (EM) log likelihood = -28941.893
Iteration 66: (EM) log likelihood = -28939.959
Iteration 67: (EM) log likelihood = -28936.891
Iteration 68: (EM) log likelihood = -28934.002
Iteration 69: (EM) log likelihood = -28931.887
Iteration 70: (EM) log likelihood = -28929.484
Iteration 71: (EM) log likelihood = -28927.721
Iteration 72: (EM) log likelihood = -28926.154
Iteration 73: (EM) log likelihood = -28924.357
Iteration 74: (EM) log likelihood = -28923.362
Iteration 75: (EM) log likelihood = -28922.218
Iteration 76: (EM) log likelihood = -28921.33
Iteration 77: (EM) log likelihood = -28919.592
Iteration 78: (EM) log likelihood = -28919.142
Iteration 79: (EM) log likelihood = -28918.524
Iteration 80: (EM) log likelihood = -28917.833
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7875.2486
Iteration 1: (class) log likelihood = -7875.2486
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29698.693
Iteration 1: (outcome) log likelihood = -29193.239
Iteration 2: (outcome) log likelihood = -29120.635
Iteration 3: (outcome) log likelihood = -29103.285
Iteration 4: (outcome) log likelihood = -29099.123
Iteration 5: (outcome) log likelihood = -29098.311
Iteration 6: (outcome) log likelihood = -29098.169
Iteration 7: (outcome) log likelihood = -29098.137
Iteration 8: (outcome) log likelihood = -29098.129
Iteration 9: (outcome) log likelihood = -29098.127
Iteration 10: (outcome) log likelihood = -29098.127
Iteration 11: (outcome) log likelihood = -29098.127
Iteration 12: (outcome) log likelihood = -29098.127
Refining starting values:
Iteration 0: (EM) log likelihood = -36945.388
Iteration 1: (EM) log likelihood = -36818.794
Iteration 2: (EM) log likelihood = -36378.524
Iteration 3: (EM) log likelihood = -35334.209
Iteration 4: (EM) log likelihood = -34141.324
Iteration 5: (EM) log likelihood = -33346.57
Iteration 6: (EM) log likelihood = -32788.615
Iteration 7: (EM) log likelihood = -32330.294
Iteration 8: (EM) log likelihood = -31940.25
Iteration 9: (EM) log likelihood = -31605.128
Iteration 10: (EM) log likelihood = -31323.486
Iteration 11: (EM) log likelihood = -31090.917
Iteration 12: (EM) log likelihood = -30903.793
Iteration 13: (EM) log likelihood = -30746.983
Iteration 14: (EM) log likelihood = -30601.555
Iteration 15: (EM) log likelihood = -30454.07
Iteration 16: (EM) log likelihood = -30305.016
Iteration 17: (EM) log likelihood = -30158.811
Iteration 18: (EM) log likelihood = -30027.447
Iteration 19: (EM) log likelihood = -29912.3
Iteration 20: (EM) log likelihood = -29814.467
Iteration 21: (EM) log likelihood = -29731.229
Iteration 22: (EM) log likelihood = -29659.793
Iteration 23: (EM) log likelihood = -29599.226
Iteration 24: (EM) log likelihood = -29546.317
Iteration 25: (EM) log likelihood = -29501.382
Iteration 26: (EM) log likelihood = -29462.058
Iteration 27: (EM) log likelihood = -29427.869
Iteration 28: (EM) log likelihood = -29397.008
Iteration 29: (EM) log likelihood = -29369.811
Iteration 30: (EM) log likelihood = -29344.026
Iteration 31: (EM) log likelihood = -29321.869
Iteration 32: (EM) log likelihood = -29301.008
Iteration 33: (EM) log likelihood = -29281.141
Iteration 34: (EM) log likelihood = -29262.429
Iteration 35: (EM) log likelihood = -29244.828
Iteration 36: (EM) log likelihood = -29227.811
Iteration 37: (EM) log likelihood = -29211.149
Iteration 38: (EM) log likelihood = -29195.14
Iteration 39: (EM) log likelihood = -29178.984
Iteration 40: (EM) log likelihood = -29162.473
Iteration 41: (EM) log likelihood = -29145.872
Iteration 42: (EM) log likelihood = -29129.252
Iteration 43: (EM) log likelihood = -29112.491
Iteration 44: (EM) log likelihood = -29095.068
Iteration 45: (EM) log likelihood = -29078.222
Iteration 46: (EM) log likelihood = -29060.512
Iteration 47: (EM) log likelihood = -29042.745
Iteration 48: (EM) log likelihood = -29025.567
Iteration 49: (EM) log likelihood = -29008.495
Iteration 50: (EM) log likelihood = -28993.926
Iteration 51: (EM) log likelihood = -28978.406
Iteration 52: (EM) log likelihood = -28963.656
Iteration 53: (EM) log likelihood = -28950.437
Iteration 54: (EM) log likelihood = -28937.811
Iteration 55: (EM) log likelihood = -28925.173
Iteration 56: (EM) log likelihood = -28913.229
Iteration 57: (EM) log likelihood = -28902.118
Iteration 58: (EM) log likelihood = -28891.831
Iteration 59: (EM) log likelihood = -28881.825
Iteration 60: (EM) log likelihood = -28872.25
Iteration 61: (EM) log likelihood = -28862.943
Iteration 62: (EM) log likelihood = -28853.864
Iteration 63: (EM) log likelihood = -28844.985
Iteration 64: (EM) log likelihood = -28836.823
Iteration 65: (EM) log likelihood = -28828.036
Iteration 66: (EM) log likelihood = -28819.3
Iteration 67: (EM) log likelihood = -28810.268
Iteration 68: (EM) log likelihood = -28800.585
Iteration 69: (EM) log likelihood = -28791.913
Iteration 70: (EM) log likelihood = -28781.032
Iteration 71: (EM) log likelihood = -28770.912
Iteration 72: (EM) log likelihood = -28759.796
Iteration 73: (EM) log likelihood = -28749.291
Iteration 74: (EM) log likelihood = -28737.527
Iteration 75: (EM) log likelihood = -28726.022
Iteration 76: (EM) log likelihood = -28713.863
Iteration 77: (EM) log likelihood = -28701.514
Iteration 78: (EM) log likelihood = -28687.154
Iteration 79: (EM) log likelihood = -28675.592
Iteration 80: (EM) log likelihood = -28665.802
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7870.0559
Iteration 1: (class) log likelihood = -7870.0559
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29636.961
Iteration 1: (outcome) log likelihood = -29211.724
Iteration 2: (outcome) log likelihood = -29109.523
Iteration 3: (outcome) log likelihood = -29092.682
Iteration 4: (outcome) log likelihood = -29088.712
Iteration 5: (outcome) log likelihood = -29087.807
Iteration 6: (outcome) log likelihood = -29087.613
Iteration 7: (outcome) log likelihood = -29087.58
Iteration 8: (outcome) log likelihood = -29087.577
Iteration 9: (outcome) log likelihood = -29087.576
Iteration 10: (outcome) log likelihood = -29087.576
Iteration 11: (outcome) log likelihood = -29087.576
Iteration 12: (outcome) log likelihood = -29087.576
Refining starting values:
Iteration 0: (EM) log likelihood = -36944.393
Iteration 1: (EM) log likelihood = -36887.829
Iteration 2: (EM) log likelihood = -36714.081
Iteration 3: (EM) log likelihood = -36201.508
Iteration 4: (EM) log likelihood = -35127.305
Iteration 5: (EM) log likelihood = -33949.532
Iteration 6: (EM) log likelihood = -33131.802
Iteration 7: (EM) log likelihood = -32548.183
Iteration 8: (EM) log likelihood = -32064.088
Iteration 9: (EM) log likelihood = -31628.853
Iteration 10: (EM) log likelihood = -31242.202
Iteration 11: (EM) log likelihood = -30908.363
Iteration 12: (EM) log likelihood = -30625.527
Iteration 13: (EM) log likelihood = -30396.124
Iteration 14: (EM) log likelihood = -30213.994
Iteration 15: (EM) log likelihood = -30072.604
Iteration 16: (EM) log likelihood = -29960.714
Iteration 17: (EM) log likelihood = -29870.544
Iteration 18: (EM) log likelihood = -29797.665
Iteration 19: (EM) log likelihood = -29739.018
Iteration 20: (EM) log likelihood = -29688.516
Iteration 21: (EM) log likelihood = -29644.89
Iteration 22: (EM) log likelihood = -29606.064
Iteration 23: (EM) log likelihood = -29570.466
Iteration 24: (EM) log likelihood = -29537.598
Iteration 25: (EM) log likelihood = -29506.001
Iteration 26: (EM) log likelihood = -29475.78
Iteration 27: (EM) log likelihood = -29446.226
Iteration 28: (EM) log likelihood = -29417.299
Iteration 29: (EM) log likelihood = -29388.478
Iteration 30: (EM) log likelihood = -29360.043
Iteration 31: (EM) log likelihood = -29331.7
Iteration 32: (EM) log likelihood = -29303.319
Iteration 33: (EM) log likelihood = -29274.442
Iteration 34: (EM) log likelihood = -29245.737
Iteration 35: (EM) log likelihood = -29218.139
Iteration 36: (EM) log likelihood = -29190.915
Iteration 37: (EM) log likelihood = -29164.873
Iteration 38: (EM) log likelihood = -29140.754
Iteration 39: (EM) log likelihood = -29117.213
Iteration 40: (EM) log likelihood = -29096.362
Iteration 41: (EM) log likelihood = -29076.956
Iteration 42: (EM) log likelihood = -29058.607
Iteration 43: (EM) log likelihood = -29041.101
Iteration 44: (EM) log likelihood = -29025.719
Iteration 45: (EM) log likelihood = -29010.744
Iteration 46: (EM) log likelihood = -28996.849
Iteration 47: (EM) log likelihood = -28982.259
Iteration 48: (EM) log likelihood = -28969.337
Iteration 49: (EM) log likelihood = -28955.979
Iteration 50: (EM) log likelihood = -28943.558
Iteration 51: (EM) log likelihood = -28932.069
Iteration 52: (EM) log likelihood = -28919.656
Iteration 53: (EM) log likelihood = -28907.765
Iteration 54: (EM) log likelihood = -28896.987
Iteration 55: (EM) log likelihood = -28886.99
Iteration 56: (EM) log likelihood = -28876.766
Iteration 57: (EM) log likelihood = -28867.18
Iteration 58: (EM) log likelihood = -28858.993
Iteration 59: (EM) log likelihood = -28850.845
Iteration 60: (EM) log likelihood = -28841.706
Iteration 61: (EM) log likelihood = -28834.576
Iteration 62: (EM) log likelihood = -28827.846
Iteration 63: (EM) log likelihood = -28820.954
Iteration 64: (EM) log likelihood = -28815.212
Iteration 65: (EM) log likelihood = -28810.237
Iteration 66: (EM) log likelihood = -28805.579
Iteration 67: (EM) log likelihood = -28800.782
Iteration 68: (EM) log likelihood = -28797.104
Iteration 69: (EM) log likelihood = -28794.563
Iteration 70: (EM) log likelihood = -28790.335
Iteration 71: (EM) log likelihood = -28786.785
Iteration 72: (EM) log likelihood = -28783.28
Iteration 73: (EM) log likelihood = -28779.092
Iteration 74: (EM) log likelihood = -28776.734
Iteration 75: (EM) log likelihood = -28773.246
Iteration 76: (EM) log likelihood = -28768.684
Iteration 77: (EM) log likelihood = -28764.866
Iteration 78: (EM) log likelihood = -28760.191
Iteration 79: (EM) log likelihood = -28756.017
Iteration 80: (EM) log likelihood = -28753.258
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7870.5558
Iteration 1: (class) log likelihood = -7870.5558
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30393.225
Iteration 1: (outcome) log likelihood = -29323.893
Iteration 2: (outcome) log likelihood = -29130.023
Iteration 3: (outcome) log likelihood = -29089.883
Iteration 4: (outcome) log likelihood = -29082.382
Iteration 5: (outcome) log likelihood = -29080.693
Iteration 6: (outcome) log likelihood = -29080.309
Iteration 7: (outcome) log likelihood = -29080.216
Iteration 8: (outcome) log likelihood = -29080.198
Iteration 9: (outcome) log likelihood = -29080.194
Iteration 10: (outcome) log likelihood = -29080.194
Iteration 11: (outcome) log likelihood = -29080.194
Iteration 12: (outcome) log likelihood = -29080.194
Refining starting values:
Iteration 0: (EM) log likelihood = -36895.64
Iteration 1: (EM) log likelihood = -36696.361
Iteration 2: (EM) log likelihood = -36135.022
Iteration 3: (EM) log likelihood = -35089.699
Iteration 4: (EM) log likelihood = -33980.875
Iteration 5: (EM) log likelihood = -33152.779
Iteration 6: (EM) log likelihood = -32575.592
Iteration 7: (EM) log likelihood = -32175.492
Iteration 8: (EM) log likelihood = -31882.574
Iteration 9: (EM) log likelihood = -31643.223
Iteration 10: (EM) log likelihood = -31426.115
Iteration 11: (EM) log likelihood = -31223.634
Iteration 12: (EM) log likelihood = -31037.904
Iteration 13: (EM) log likelihood = -30864.706
Iteration 14: (EM) log likelihood = -30701.426
Iteration 15: (EM) log likelihood = -30545.966
Iteration 16: (EM) log likelihood = -30394.451
Iteration 17: (EM) log likelihood = -30256.343
Iteration 18: (EM) log likelihood = -30135.508
Iteration 19: (EM) log likelihood = -30028.04
Iteration 20: (EM) log likelihood = -29927.893
Iteration 21: (EM) log likelihood = -29832.865
Iteration 22: (EM) log likelihood = -29749.103
Iteration 23: (EM) log likelihood = -29674.921
Iteration 24: (EM) log likelihood = -29609.092
Iteration 25: (EM) log likelihood = -29549.344
Iteration 26: (EM) log likelihood = -29496.465
Iteration 27: (EM) log likelihood = -29449.737
Iteration 28: (EM) log likelihood = -29407.946
Iteration 29: (EM) log likelihood = -29370.072
Iteration 30: (EM) log likelihood = -29334.252
Iteration 31: (EM) log likelihood = -29299.622
Iteration 32: (EM) log likelihood = -29265.643
Iteration 33: (EM) log likelihood = -29233.964
Iteration 34: (EM) log likelihood = -29206.283
Iteration 35: (EM) log likelihood = -29181.203
Iteration 36: (EM) log likelihood = -29159.493
Iteration 37: (EM) log likelihood = -29140.698
Iteration 38: (EM) log likelihood = -29126.058
Iteration 39: (EM) log likelihood = -29113.935
Iteration 40: (EM) log likelihood = -29103.184
Iteration 41: (EM) log likelihood = -29093.205
Iteration 42: (EM) log likelihood = -29084.517
Iteration 43: (EM) log likelihood = -29078.61
Iteration 44: (EM) log likelihood = -29073.312
Iteration 45: (EM) log likelihood = -29069.043
Iteration 46: (EM) log likelihood = -29063.658
Iteration 47: (EM) log likelihood = -29055.722
Iteration 48: (EM) log likelihood = -29044.918
Iteration 49: (EM) log likelihood = -29034.5
Iteration 50: (EM) log likelihood = -29024.781
Iteration 51: (EM) log likelihood = -29017.241
Iteration 52: (EM) log likelihood = -29009.236
Iteration 53: (EM) log likelihood = -29003.558
Iteration 54: (EM) log likelihood = -28997.842
Iteration 55: (EM) log likelihood = -28992.778
Iteration 56: (EM) log likelihood = -28988.916
Iteration 57: (EM) log likelihood = -28985.636
Iteration 58: (EM) log likelihood = -28982.158
Iteration 59: (EM) log likelihood = -28978.424
Iteration 60: (EM) log likelihood = -28975.059
Iteration 61: (EM) log likelihood = -28971.386
Iteration 62: (EM) log likelihood = -28968.378
Iteration 63: (EM) log likelihood = -28964.193
Iteration 64: (EM) log likelihood = -28960.662
Iteration 65: (EM) log likelihood = -28957.647
Iteration 66: (EM) log likelihood = -28954.089
Iteration 67: (EM) log likelihood = -28950.481
Iteration 68: (EM) log likelihood = -28947.708
Iteration 69: (EM) log likelihood = -28944.579
Iteration 70: (EM) log likelihood = -28941.699
Iteration 71: (EM) log likelihood = -28939.308
Iteration 72: (EM) log likelihood = -28934.488
Iteration 73: (EM) log likelihood = -28932.238
Iteration 74: (EM) log likelihood = -28928.426
Iteration 75: (EM) log likelihood = -28926.894
Iteration 76: (EM) log likelihood = -28923.69
Iteration 77: (EM) log likelihood = -28921.65
Iteration 78: (EM) log likelihood = -28918.45
Iteration 79: (EM) log likelihood = -28915.373
Iteration 80: (EM) log likelihood = -28912.89
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7877.701
Iteration 1: (class) log likelihood = -7877.701
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29963.255
Iteration 1: (outcome) log likelihood = -29248.976
Iteration 2: (outcome) log likelihood = -29128.906
Iteration 3: (outcome) log likelihood = -29102.596
Iteration 4: (outcome) log likelihood = -29096.168
Iteration 5: (outcome) log likelihood = -29094.947
Iteration 6: (outcome) log likelihood = -29094.732
Iteration 7: (outcome) log likelihood = -29094.683
Iteration 8: (outcome) log likelihood = -29094.671
Iteration 9: (outcome) log likelihood = -29094.669
Iteration 10: (outcome) log likelihood = -29094.668
Iteration 11: (outcome) log likelihood = -29094.668
Iteration 12: (outcome) log likelihood = -29094.668
Refining starting values:
Iteration 0: (EM) log likelihood = -36931.752
Iteration 1: (EM) log likelihood = -36770.615
Iteration 2: (EM) log likelihood = -36280.271
Iteration 3: (EM) log likelihood = -35348.785
Iteration 4: (EM) log likelihood = -34383.692
Iteration 5: (EM) log likelihood = -33673.038
Iteration 6: (EM) log likelihood = -33135.642
Iteration 7: (EM) log likelihood = -32696.678
Iteration 8: (EM) log likelihood = -32321.306
Iteration 9: (EM) log likelihood = -31984.695
Iteration 10: (EM) log likelihood = -31666.919
Iteration 11: (EM) log likelihood = -31375.579
Iteration 12: (EM) log likelihood = -31123.038
Iteration 13: (EM) log likelihood = -30914.84
Iteration 14: (EM) log likelihood = -30746.551
Iteration 15: (EM) log likelihood = -30608.345
Iteration 16: (EM) log likelihood = -30492.815
Iteration 17: (EM) log likelihood = -30389.585
Iteration 18: (EM) log likelihood = -30291.882
Iteration 19: (EM) log likelihood = -30201.225
Iteration 20: (EM) log likelihood = -30113.969
Iteration 21: (EM) log likelihood = -30031.845
Iteration 22: (EM) log likelihood = -29957.914
Iteration 23: (EM) log likelihood = -29891.621
Iteration 24: (EM) log likelihood = -29831.655
Iteration 25: (EM) log likelihood = -29777.727
Iteration 26: (EM) log likelihood = -29726.267
Iteration 27: (EM) log likelihood = -29680.747
Iteration 28: (EM) log likelihood = -29637.212
Iteration 29: (EM) log likelihood = -29595.369
Iteration 30: (EM) log likelihood = -29553.202
Iteration 31: (EM) log likelihood = -29510.163
Iteration 32: (EM) log likelihood = -29467.003
Iteration 33: (EM) log likelihood = -29421.45
Iteration 34: (EM) log likelihood = -29373.327
Iteration 35: (EM) log likelihood = -29323.413
Iteration 36: (EM) log likelihood = -29274.816
Iteration 37: (EM) log likelihood = -29229.751
Iteration 38: (EM) log likelihood = -29190.845
Iteration 39: (EM) log likelihood = -29155.693
Iteration 40: (EM) log likelihood = -29123.398
Iteration 41: (EM) log likelihood = -29096.212
Iteration 42: (EM) log likelihood = -29071.681
Iteration 43: (EM) log likelihood = -29051.003
Iteration 44: (EM) log likelihood = -29031.115
Iteration 45: (EM) log likelihood = -29014.54
Iteration 46: (EM) log likelihood = -28998.976
Iteration 47: (EM) log likelihood = -28983.709
Iteration 48: (EM) log likelihood = -28971.374
Iteration 49: (EM) log likelihood = -28961.286
Iteration 50: (EM) log likelihood = -28949.609
Iteration 51: (EM) log likelihood = -28939.131
Iteration 52: (EM) log likelihood = -28931.691
Iteration 53: (EM) log likelihood = -28922.05
Iteration 54: (EM) log likelihood = -28913.464
Iteration 55: (EM) log likelihood = -28905.348
Iteration 56: (EM) log likelihood = -28898.496
Iteration 57: (EM) log likelihood = -28891.585
Iteration 58: (EM) log likelihood = -28885.184
Iteration 59: (EM) log likelihood = -28879.273
Iteration 60: (EM) log likelihood = -28874.79
Iteration 61: (EM) log likelihood = -28869.116
Iteration 62: (EM) log likelihood = -28863.713
Iteration 63: (EM) log likelihood = -28858.309
Iteration 64: (EM) log likelihood = -28853.775
Iteration 65: (EM) log likelihood = -28848.867
Iteration 66: (EM) log likelihood = -28843.467
Iteration 67: (EM) log likelihood = -28838.438
Iteration 68: (EM) log likelihood = -28834.333
Iteration 69: (EM) log likelihood = -28829.516
Iteration 70: (EM) log likelihood = -28825.094
Iteration 71: (EM) log likelihood = -28820.365
Iteration 72: (EM) log likelihood = -28815.561
Iteration 73: (EM) log likelihood = -28810.586
Iteration 74: (EM) log likelihood = -28805.471
Iteration 75: (EM) log likelihood = -28800.172
Iteration 76: (EM) log likelihood = -28794.651
Iteration 77: (EM) log likelihood = -28788.82
Iteration 78: (EM) log likelihood = -28783.338
Iteration 79: (EM) log likelihood = -28777.257
Iteration 80: (EM) log likelihood = -28770.92
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7877.1182
Iteration 1: (class) log likelihood = -7877.1182
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30661.967
Iteration 1: (outcome) log likelihood = -29339.952
Iteration 2: (outcome) log likelihood = -29112.108
Iteration 3: (outcome) log likelihood = -29065.836
Iteration 4: (outcome) log likelihood = -29057.617
Iteration 5: (outcome) log likelihood = -29055.754
Iteration 6: (outcome) log likelihood = -29055.312
Iteration 7: (outcome) log likelihood = -29055.215
Iteration 8: (outcome) log likelihood = -29055.195
Iteration 9: (outcome) log likelihood = -29055.191
Iteration 10: (outcome) log likelihood = -29055.19
Iteration 11: (outcome) log likelihood = -29055.19
Iteration 12: (outcome) log likelihood = -29055.19
Iteration 13: (outcome) log likelihood = -29055.19
Refining starting values:
Iteration 0: (EM) log likelihood = -36851.7
Iteration 1: (EM) log likelihood = -36572.411
Iteration 2: (EM) log likelihood = -35870.448
Iteration 3: (EM) log likelihood = -34813.262
Iteration 4: (EM) log likelihood = -33792.639
Iteration 5: (EM) log likelihood = -32954.394
Iteration 6: (EM) log likelihood = -32298.904
Iteration 7: (EM) log likelihood = -31823.127
Iteration 8: (EM) log likelihood = -31495.968
Iteration 9: (EM) log likelihood = -31265.971
Iteration 10: (EM) log likelihood = -31100.315
Iteration 11: (EM) log likelihood = -30968.341
Iteration 12: (EM) log likelihood = -30853.389
Iteration 13: (EM) log likelihood = -30745.928
Iteration 14: (EM) log likelihood = -30638.882
Iteration 15: (EM) log likelihood = -30526.35
Iteration 16: (EM) log likelihood = -30406.952
Iteration 17: (EM) log likelihood = -30280.734
Iteration 18: (EM) log likelihood = -30151.635
Iteration 19: (EM) log likelihood = -30025.947
Iteration 20: (EM) log likelihood = -29906.622
Iteration 21: (EM) log likelihood = -29798.453
Iteration 22: (EM) log likelihood = -29698.465
Iteration 23: (EM) log likelihood = -29607.803
Iteration 24: (EM) log likelihood = -29526.382
Iteration 25: (EM) log likelihood = -29452.546
Iteration 26: (EM) log likelihood = -29386.714
Iteration 27: (EM) log likelihood = -29324.255
Iteration 28: (EM) log likelihood = -29265.875
Iteration 29: (EM) log likelihood = -29211.286
Iteration 30: (EM) log likelihood = -29159.816
Iteration 31: (EM) log likelihood = -29109.897
Iteration 32: (EM) log likelihood = -29065.428
Iteration 33: (EM) log likelihood = -29024.888
Iteration 34: (EM) log likelihood = -28984.34
Iteration 35: (EM) log likelihood = -28948.102
Iteration 36: (EM) log likelihood = -28913.494
Iteration 37: (EM) log likelihood = -28881.014
Iteration 38: (EM) log likelihood = -28843.986
Iteration 39: (EM) log likelihood = -28818.206
Iteration 40: (EM) log likelihood = -28793.692
Iteration 41: (EM) log likelihood = -28772.709
Iteration 42: (EM) log likelihood = -28749.652
Iteration 43: (EM) log likelihood = -28730.766
Iteration 44: (EM) log likelihood = -28710.854
Iteration 45: (EM) log likelihood = -28692.591
Iteration 46: (EM) log likelihood = -28677.276
Iteration 47: (EM) log likelihood = -28661.998
Iteration 48: (EM) log likelihood = -28643.167
Iteration 49: (EM) log likelihood = -28632.252
Iteration 50: (EM) log likelihood = -28625.073
Iteration 51: (EM) log likelihood = -28613.834
Iteration 52: (EM) log likelihood = -28604.248
Iteration 53: (EM) log likelihood = -28594.776
Iteration 54: (EM) log likelihood = -28579.614
Iteration 55: (EM) log likelihood = -28571.798
Iteration 56: (EM) log likelihood = -28563.825
Iteration 57: (EM) log likelihood = -28559.024
Iteration 58: (EM) log likelihood = -28551.793
Iteration 59: (EM) log likelihood = -28546.251
Iteration 60: (EM) log likelihood = -28540.653
Iteration 61: (EM) log likelihood = -28534.523
Iteration 62: (EM) log likelihood = -28528.727
Iteration 63: (EM) log likelihood = -28524.682
Iteration 64: (EM) log likelihood = -28514.747
Iteration 65: (EM) log likelihood = -28507.564
Iteration 66: (EM) log likelihood = -28500.489
Iteration 67: (EM) log likelihood = -28494.079
Iteration 68: (EM) log likelihood = -28486.933
Iteration 69: (EM) log likelihood = -28481.17
Iteration 70: (EM) log likelihood = -28475.29
Iteration 71: (EM) log likelihood = -28469.79
Iteration 72: (EM) log likelihood = -28468.012
Iteration 73: (EM) log likelihood = -28463.043
Iteration 74: (EM) log likelihood = -28457.966
Iteration 75: (EM) log likelihood = -28453.354
Iteration 76: (EM) log likelihood = -28448.483
Iteration 77: (EM) log likelihood = -28442.518
Iteration 78: (EM) log likelihood = -28430.098
Iteration 79: (EM) log likelihood = -28426.286
Iteration 80: (EM) log likelihood = -28422.53
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7873.1418
Iteration 1: (class) log likelihood = -7873.1418
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29926.607
Iteration 1: (outcome) log likelihood = -29251.603
Iteration 2: (outcome) log likelihood = -29123.785
Iteration 3: (outcome) log likelihood = -29099.487
Iteration 4: (outcome) log likelihood = -29093.881
Iteration 5: (outcome) log likelihood = -29092.75
Iteration 6: (outcome) log likelihood = -29092.549
Iteration 7: (outcome) log likelihood = -29092.504
Iteration 8: (outcome) log likelihood = -29092.492
Iteration 9: (outcome) log likelihood = -29092.49
Iteration 10: (outcome) log likelihood = -29092.49
Iteration 11: (outcome) log likelihood = -29092.489
Iteration 12: (outcome) log likelihood = -29092.489
Refining starting values:
Iteration 0: (EM) log likelihood = -36937.148
Iteration 1: (EM) log likelihood = -36830.344
Iteration 2: (EM) log likelihood = -36526.367
Iteration 3: (EM) log likelihood = -35905.041
Iteration 4: (EM) log likelihood = -35064.745
Iteration 5: (EM) log likelihood = -34215.785
Iteration 6: (EM) log likelihood = -33432.61
Iteration 7: (EM) log likelihood = -32713.78
Iteration 8: (EM) log likelihood = -32099.752
Iteration 9: (EM) log likelihood = -31590.162
Iteration 10: (EM) log likelihood = -31168.727
Iteration 11: (EM) log likelihood = -30826.563
Iteration 12: (EM) log likelihood = -30557.865
Iteration 13: (EM) log likelihood = -30354.367
Iteration 14: (EM) log likelihood = -30194.834
Iteration 15: (EM) log likelihood = -30069.296
Iteration 16: (EM) log likelihood = -29961.659
Iteration 17: (EM) log likelihood = -29860.057
Iteration 18: (EM) log likelihood = -29760.922
Iteration 19: (EM) log likelihood = -29665.695
Iteration 20: (EM) log likelihood = -29575.481
Iteration 21: (EM) log likelihood = -29491.291
Iteration 22: (EM) log likelihood = -29414.621
Iteration 23: (EM) log likelihood = -29344.641
Iteration 24: (EM) log likelihood = -29280.824
Iteration 25: (EM) log likelihood = -29223.848
Iteration 26: (EM) log likelihood = -29171.952
Iteration 27: (EM) log likelihood = -29125.113
Iteration 28: (EM) log likelihood = -29082.299
Iteration 29: (EM) log likelihood = -29042.992
Iteration 30: (EM) log likelihood = -29007.744
Iteration 31: (EM) log likelihood = -28973.339
Iteration 32: (EM) log likelihood = -28941.152
Iteration 33: (EM) log likelihood = -28910.229
Iteration 34: (EM) log likelihood = -28880.254
Iteration 35: (EM) log likelihood = -28851.111
Iteration 36: (EM) log likelihood = -28822.715
Iteration 37: (EM) log likelihood = -28795.811
Iteration 38: (EM) log likelihood = -28770.025
Iteration 39: (EM) log likelihood = -28745.44
Iteration 40: (EM) log likelihood = -28722.155
Iteration 41: (EM) log likelihood = -28700.215
Iteration 42: (EM) log likelihood = -28678.87
Iteration 43: (EM) log likelihood = -28659.333
Iteration 44: (EM) log likelihood = -28641.709
Iteration 45: (EM) log likelihood = -28625.499
Iteration 46: (EM) log likelihood = -28610.289
Iteration 47: (EM) log likelihood = -28597.038
Iteration 48: (EM) log likelihood = -28584.324
Iteration 49: (EM) log likelihood = -28571.994
Iteration 50: (EM) log likelihood = -28561.071
Iteration 51: (EM) log likelihood = -28551.738
Iteration 52: (EM) log likelihood = -28542.741
Iteration 53: (EM) log likelihood = -28535.521
Iteration 54: (EM) log likelihood = -28528.02
Iteration 55: (EM) log likelihood = -28522.217
Iteration 56: (EM) log likelihood = -28517.385
Iteration 57: (EM) log likelihood = -28513.2
Iteration 58: (EM) log likelihood = -28508.926
Iteration 59: (EM) log likelihood = -28505.452
Iteration 60: (EM) log likelihood = -28501.215
Iteration 61: (EM) log likelihood = -28497.905
Iteration 62: (EM) log likelihood = -28494.121
Iteration 63: (EM) log likelihood = -28490.477
Iteration 64: (EM) log likelihood = -28486.32
Iteration 65: (EM) log likelihood = -28481.388
Iteration 66: (EM) log likelihood = -28477.797
Iteration 67: (EM) log likelihood = -28473.138
Iteration 68: (EM) log likelihood = -28469.882
Iteration 69: (EM) log likelihood = -28466.493
Iteration 70: (EM) log likelihood = -28462.177
Iteration 71: (EM) log likelihood = -28458.652
Iteration 72: (EM) log likelihood = -28455.402
Iteration 73: (EM) log likelihood = -28452.206
Iteration 74: (EM) log likelihood = -28450.382
Iteration 75: (EM) log likelihood = -28446.097
Iteration 76: (EM) log likelihood = -28443.864
Iteration 77: (EM) log likelihood = -28441.506
Iteration 78: (EM) log likelihood = -28439.436
Iteration 79: (EM) log likelihood = -28434.997
Iteration 80: (EM) log likelihood = -28430.816
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7878.2667
Iteration 1: (class) log likelihood = -7878.2667
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30109.662
Iteration 1: (outcome) log likelihood = -29257.796
Iteration 2: (outcome) log likelihood = -29131.559
Iteration 3: (outcome) log likelihood = -29102.159
Iteration 4: (outcome) log likelihood = -29095.322
Iteration 5: (outcome) log likelihood = -29093.966
Iteration 6: (outcome) log likelihood = -29093.728
Iteration 7: (outcome) log likelihood = -29093.674
Iteration 8: (outcome) log likelihood = -29093.66
Iteration 9: (outcome) log likelihood = -29093.658
Iteration 10: (outcome) log likelihood = -29093.657
Iteration 11: (outcome) log likelihood = -29093.657
Iteration 12: (outcome) log likelihood = -29093.657
Refining starting values:
Iteration 0: (EM) log likelihood = -36945.88
Iteration 1: (EM) log likelihood = -36839.532
Iteration 2: (EM) log likelihood = -36430.835
Iteration 3: (EM) log likelihood = -35340.269
Iteration 4: (EM) log likelihood = -34120.252
Iteration 5: (EM) log likelihood = -33354.264
Iteration 6: (EM) log likelihood = -32856.45
Iteration 7: (EM) log likelihood = -32467.939
Iteration 8: (EM) log likelihood = -32120.759
Iteration 9: (EM) log likelihood = -31798.693
Iteration 10: (EM) log likelihood = -31498.566
Iteration 11: (EM) log likelihood = -31215.075
Iteration 12: (EM) log likelihood = -30950.689
Iteration 13: (EM) log likelihood = -30709.817
Iteration 14: (EM) log likelihood = -30493.086
Iteration 15: (EM) log likelihood = -30305.396
Iteration 16: (EM) log likelihood = -30153.759
Iteration 17: (EM) log likelihood = -30031.727
Iteration 18: (EM) log likelihood = -29931.06
Iteration 19: (EM) log likelihood = -29842.999
Iteration 20: (EM) log likelihood = -29764.047
Iteration 21: (EM) log likelihood = -29690.258
Iteration 22: (EM) log likelihood = -29620.304
Iteration 23: (EM) log likelihood = -29557.103
Iteration 24: (EM) log likelihood = -29500.017
Iteration 25: (EM) log likelihood = -29447.461
Iteration 26: (EM) log likelihood = -29398.978
Iteration 27: (EM) log likelihood = -29357.235
Iteration 28: (EM) log likelihood = -29317.679
Iteration 29: (EM) log likelihood = -29282.743
Iteration 30: (EM) log likelihood = -29248.823
Iteration 31: (EM) log likelihood = -29218.409
Iteration 32: (EM) log likelihood = -29189.401
Iteration 33: (EM) log likelihood = -29162.008
Iteration 34: (EM) log likelihood = -29136.902
Iteration 35: (EM) log likelihood = -29112.117
Iteration 36: (EM) log likelihood = -29087.48
Iteration 37: (EM) log likelihood = -29062.891
Iteration 38: (EM) log likelihood = -29042.586
Iteration 39: (EM) log likelihood = -29019.919
Iteration 40: (EM) log likelihood = -28996.362
Iteration 41: (EM) log likelihood = -28975.074
Iteration 42: (EM) log likelihood = -28954.798
Iteration 43: (EM) log likelihood = -28936.438
Iteration 44: (EM) log likelihood = -28918.581
Iteration 45: (EM) log likelihood = -28899.678
Iteration 46: (EM) log likelihood = -28883.104
Iteration 47: (EM) log likelihood = -28868.898
Iteration 48: (EM) log likelihood = -28853.286
Iteration 49: (EM) log likelihood = -28839.297
Iteration 50: (EM) log likelihood = -28826.289
Iteration 51: (EM) log likelihood = -28813.786
Iteration 52: (EM) log likelihood = -28803.499
Iteration 53: (EM) log likelihood = -28792.216
Iteration 54: (EM) log likelihood = -28782.299
Iteration 55: (EM) log likelihood = -28774.275
Iteration 56: (EM) log likelihood = -28766.36
Iteration 57: (EM) log likelihood = -28757.183
Iteration 58: (EM) log likelihood = -28748.336
Iteration 59: (EM) log likelihood = -28740.172
Iteration 60: (EM) log likelihood = -28732.374
Iteration 61: (EM) log likelihood = -28727.825
Iteration 62: (EM) log likelihood = -28720.371
Iteration 63: (EM) log likelihood = -28715.992
Iteration 64: (EM) log likelihood = -28710.406
Iteration 65: (EM) log likelihood = -28704.12
Iteration 66: (EM) log likelihood = -28699.266
Iteration 67: (EM) log likelihood = -28698.682
Iteration 68: (EM) log likelihood = -28693.031
Iteration 69: (EM) log likelihood = -28687.873
Iteration 70: (EM) log likelihood = -28679.916
Iteration 71: (EM) log likelihood = -28674.285
Iteration 72: (EM) log likelihood = -28671.069
Iteration 73: (EM) log likelihood = -28666.663
Iteration 74: (EM) log likelihood = -28659.104
Iteration 75: (EM) log likelihood = -28659.689
Iteration 76: (EM) log likelihood = -28653.44
Iteration 77: (EM) log likelihood = -28649.585
Iteration 78: (EM) log likelihood = -28644.734
Iteration 79: (EM) log likelihood = -28641.452
Iteration 80: (EM) log likelihood = -28637.309
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7875.9989
Iteration 1: (class) log likelihood = -7875.9989
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30377.107
Iteration 1: (outcome) log likelihood = -29331.78
Iteration 2: (outcome) log likelihood = -29129.601
Iteration 3: (outcome) log likelihood = -29087.988
Iteration 4: (outcome) log likelihood = -29079.242
Iteration 5: (outcome) log likelihood = -29077.343
Iteration 6: (outcome) log likelihood = -29077.011
Iteration 7: (outcome) log likelihood = -29076.935
Iteration 8: (outcome) log likelihood = -29076.917
Iteration 9: (outcome) log likelihood = -29076.913
Iteration 10: (outcome) log likelihood = -29076.912
Iteration 11: (outcome) log likelihood = -29076.912
Iteration 12: (outcome) log likelihood = -29076.912
Iteration 13: (outcome) log likelihood = -29076.912
Refining starting values:
Iteration 0: (EM) log likelihood = -36920.9
Iteration 1: (EM) log likelihood = -36799.984
Iteration 2: (EM) log likelihood = -36449.69
Iteration 3: (EM) log likelihood = -35665.103
Iteration 4: (EM) log likelihood = -34534.516
Iteration 5: (EM) log likelihood = -33465.512
Iteration 6: (EM) log likelihood = -32635.039
Iteration 7: (EM) log likelihood = -32032.589
Iteration 8: (EM) log likelihood = -31568.177
Iteration 9: (EM) log likelihood = -31172.674
Iteration 10: (EM) log likelihood = -30842.434
Iteration 11: (EM) log likelihood = -30577.505
Iteration 12: (EM) log likelihood = -30368.051
Iteration 13: (EM) log likelihood = -30202.351
Iteration 14: (EM) log likelihood = -30067.223
Iteration 15: (EM) log likelihood = -29952.726
Iteration 16: (EM) log likelihood = -29856.744
Iteration 17: (EM) log likelihood = -29776.361
Iteration 18: (EM) log likelihood = -29703.891
Iteration 19: (EM) log likelihood = -29647.497
Iteration 20: (EM) log likelihood = -29598.339
Iteration 21: (EM) log likelihood = -29555.928
Iteration 22: (EM) log likelihood = -29519.305
Iteration 23: (EM) log likelihood = -29486.81
Iteration 24: (EM) log likelihood = -29459.299
Iteration 25: (EM) log likelihood = -29435.006
Iteration 26: (EM) log likelihood = -29413.639
Iteration 27: (EM) log likelihood = -29395.921
Iteration 28: (EM) log likelihood = -29378.805
Iteration 29: (EM) log likelihood = -29363.948
Iteration 30: (EM) log likelihood = -29350.429
Iteration 31: (EM) log likelihood = -29337.955
Iteration 32: (EM) log likelihood = -29326.776
Iteration 33: (EM) log likelihood = -29316.681
Iteration 34: (EM) log likelihood = -29307.327
Iteration 35: (EM) log likelihood = -29299.516
Iteration 36: (EM) log likelihood = -29291.694
Iteration 37: (EM) log likelihood = -29284.293
Iteration 38: (EM) log likelihood = -29277.464
Iteration 39: (EM) log likelihood = -29270.984
Iteration 40: (EM) log likelihood = -29265.227
Iteration 41: (EM) log likelihood = -29259.531
Iteration 42: (EM) log likelihood = -29253.834
Iteration 43: (EM) log likelihood = -29248.853
Iteration 44: (EM) log likelihood = -29244.358
Iteration 45: (EM) log likelihood = -29240.214
Iteration 46: (EM) log likelihood = -29236.398
Iteration 47: (EM) log likelihood = -29232.883
Iteration 48: (EM) log likelihood = -29229.635
Iteration 49: (EM) log likelihood = -29226.611
Iteration 50: (EM) log likelihood = -29223.825
Iteration 51: (EM) log likelihood = -29221.313
Iteration 52: (EM) log likelihood = -29218.979
Iteration 53: (EM) log likelihood = -29216.712
Iteration 54: (EM) log likelihood = -29214.454
Iteration 55: (EM) log likelihood = -29212.706
Iteration 56: (EM) log likelihood = -29210.938
Iteration 57: (EM) log likelihood = -29209.218
Iteration 58: (EM) log likelihood = -29207.394
Iteration 59: (EM) log likelihood = -29205.982
Iteration 60: (EM) log likelihood = -29204.885
Iteration 61: (EM) log likelihood = -29203.224
Iteration 62: (EM) log likelihood = -29201.898
Iteration 63: (EM) log likelihood = -29200.288
Iteration 64: (EM) log likelihood = -29198.496
Iteration 65: (EM) log likelihood = -29197.314
Iteration 66: (EM) log likelihood = -29195.979
Iteration 67: (EM) log likelihood = -29195.303
Iteration 68: (EM) log likelihood = -29194.204
Iteration 69: (EM) log likelihood = -29193.559
Iteration 70: (EM) log likelihood = -29192.887
Iteration 71: (EM) log likelihood = -29192.147
Iteration 72: (EM) log likelihood = -29191.247
Iteration 73: (EM) log likelihood = -29190.505
Iteration 74: (EM) log likelihood = -29188.737
Iteration 75: (EM) log likelihood = -29187.676
Iteration 76: (EM) log likelihood = -29186.482
Iteration 77: (EM) log likelihood = -29184.204
Iteration 78: (EM) log likelihood = -29182.654
Iteration 79: (EM) log likelihood = -29180.696
Iteration 80: (EM) log likelihood = -29179.096
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7875.4945
Iteration 1: (class) log likelihood = -7875.4945
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29834.74
Iteration 1: (outcome) log likelihood = -29203.134
Iteration 2: (outcome) log likelihood = -29119.435
Iteration 3: (outcome) log likelihood = -29098.997
Iteration 4: (outcome) log likelihood = -29094.274
Iteration 5: (outcome) log likelihood = -29093.225
Iteration 6: (outcome) log likelihood = -29093.013
Iteration 7: (outcome) log likelihood = -29092.965
Iteration 8: (outcome) log likelihood = -29092.953
Iteration 9: (outcome) log likelihood = -29092.951
Iteration 10: (outcome) log likelihood = -29092.95
Iteration 11: (outcome) log likelihood = -29092.95
Iteration 12: (outcome) log likelihood = -29092.95
Refining starting values:
Iteration 0: (EM) log likelihood = -36942.634
Iteration 1: (EM) log likelihood = -36847.198
Iteration 2: (EM) log likelihood = -36590.983
Iteration 3: (EM) log likelihood = -36033.573
Iteration 4: (EM) log likelihood = -35121.303
Iteration 5: (EM) log likelihood = -34111.299
Iteration 6: (EM) log likelihood = -33249.489
Iteration 7: (EM) log likelihood = -32573.911
Iteration 8: (EM) log likelihood = -32066.758
Iteration 9: (EM) log likelihood = -31712.947
Iteration 10: (EM) log likelihood = -31459.094
Iteration 11: (EM) log likelihood = -31267.071
Iteration 12: (EM) log likelihood = -31106.526
Iteration 13: (EM) log likelihood = -30967.978
Iteration 14: (EM) log likelihood = -30846.761
Iteration 15: (EM) log likelihood = -30733.111
Iteration 16: (EM) log likelihood = -30624.092
Iteration 17: (EM) log likelihood = -30514.461
Iteration 18: (EM) log likelihood = -30407.112
Iteration 19: (EM) log likelihood = -30306.79
Iteration 20: (EM) log likelihood = -30218.076
Iteration 21: (EM) log likelihood = -30139.065
Iteration 22: (EM) log likelihood = -30068.726
Iteration 23: (EM) log likelihood = -30005.979
Iteration 24: (EM) log likelihood = -29948.686
Iteration 25: (EM) log likelihood = -29894.065
Iteration 26: (EM) log likelihood = -29842.727
Iteration 27: (EM) log likelihood = -29798.115
Iteration 28: (EM) log likelihood = -29755.243
Iteration 29: (EM) log likelihood = -29714.856
Iteration 30: (EM) log likelihood = -29678.12
Iteration 31: (EM) log likelihood = -29643.775
Iteration 32: (EM) log likelihood = -29612.499
Iteration 33: (EM) log likelihood = -29583.325
Iteration 34: (EM) log likelihood = -29555.141
Iteration 35: (EM) log likelihood = -29529.674
Iteration 36: (EM) log likelihood = -29506.711
Iteration 37: (EM) log likelihood = -29484.968
Iteration 38: (EM) log likelihood = -29465.36
Iteration 39: (EM) log likelihood = -29447.214
Iteration 40: (EM) log likelihood = -29430.805
Iteration 41: (EM) log likelihood = -29415.982
Iteration 42: (EM) log likelihood = -29401.701
Iteration 43: (EM) log likelihood = -29387.483
Iteration 44: (EM) log likelihood = -29375.451
Iteration 45: (EM) log likelihood = -29363.647
Iteration 46: (EM) log likelihood = -29352.114
Iteration 47: (EM) log likelihood = -29340.522
Iteration 48: (EM) log likelihood = -29329.417
Iteration 49: (EM) log likelihood = -29317.897
Iteration 50: (EM) log likelihood = -29305.874
Iteration 51: (EM) log likelihood = -29294.467
Iteration 52: (EM) log likelihood = -29283.483
Iteration 53: (EM) log likelihood = -29270.88
Iteration 54: (EM) log likelihood = -29258.504
Iteration 55: (EM) log likelihood = -29246.21
Iteration 56: (EM) log likelihood = -29233.466
Iteration 57: (EM) log likelihood = -29221.617
Iteration 58: (EM) log likelihood = -29210.057
Iteration 59: (EM) log likelihood = -29198.813
Iteration 60: (EM) log likelihood = -29187.99
Iteration 61: (EM) log likelihood = -29178.04
Iteration 62: (EM) log likelihood = -29168.108
Iteration 63: (EM) log likelihood = -29158.831
Iteration 64: (EM) log likelihood = -29154.394
Iteration 65: (EM) log likelihood = -29145.484
Iteration 66: (EM) log likelihood = -29136.831
Iteration 67: (EM) log likelihood = -29131.052
Iteration 68: (EM) log likelihood = -29124.957
Iteration 69: (EM) log likelihood = -29119.142
Iteration 70: (EM) log likelihood = -29116.03
Iteration 71: (EM) log likelihood = -29111.818
Iteration 72: (EM) log likelihood = -29107.841
Iteration 73: (EM) log likelihood = -29104.439
Iteration 74: (EM) log likelihood = -29101.288
Iteration 75: (EM) log likelihood = -29098.163
Iteration 76: (EM) log likelihood = -29095.24
Iteration 77: (EM) log likelihood = -29092.559
Iteration 78: (EM) log likelihood = -29090.082
Iteration 79: (EM) log likelihood = -29087.611
Iteration 80: (EM) log likelihood = -29085.144
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7874.8105
Iteration 1: (class) log likelihood = -7874.8105
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29697.715
Iteration 1: (outcome) log likelihood = -29201.615
Iteration 2: (outcome) log likelihood = -29107.932
Iteration 3: (outcome) log likelihood = -29089.268
Iteration 4: (outcome) log likelihood = -29084.898
Iteration 5: (outcome) log likelihood = -29083.911
Iteration 6: (outcome) log likelihood = -29083.695
Iteration 7: (outcome) log likelihood = -29083.661
Iteration 8: (outcome) log likelihood = -29083.657
Iteration 9: (outcome) log likelihood = -29083.656
Iteration 10: (outcome) log likelihood = -29083.656
Iteration 11: (outcome) log likelihood = -29083.656
Iteration 12: (outcome) log likelihood = -29083.656
Refining starting values:
Iteration 0: (EM) log likelihood = -36910.349
Iteration 1: (EM) log likelihood = -36732.02
Iteration 2: (EM) log likelihood = -36214.56
Iteration 3: (EM) log likelihood = -35209.789
Iteration 4: (EM) log likelihood = -34065.126
Iteration 5: (EM) log likelihood = -33174.087
Iteration 6: (EM) log likelihood = -32525.241
Iteration 7: (EM) log likelihood = -32004.889
Iteration 8: (EM) log likelihood = -31552.516
Iteration 9: (EM) log likelihood = -31165.339
Iteration 10: (EM) log likelihood = -30850.24
Iteration 11: (EM) log likelihood = -30603.282
Iteration 12: (EM) log likelihood = -30410.882
Iteration 13: (EM) log likelihood = -30252.051
Iteration 14: (EM) log likelihood = -30115.003
Iteration 15: (EM) log likelihood = -29991.05
Iteration 16: (EM) log likelihood = -29882.378
Iteration 17: (EM) log likelihood = -29789.121
Iteration 18: (EM) log likelihood = -29711.373
Iteration 19: (EM) log likelihood = -29641.265
Iteration 20: (EM) log likelihood = -29580.537
Iteration 21: (EM) log likelihood = -29527.683
Iteration 22: (EM) log likelihood = -29479.48
Iteration 23: (EM) log likelihood = -29434.301
Iteration 24: (EM) log likelihood = -29392.282
Iteration 25: (EM) log likelihood = -29352.33
Iteration 26: (EM) log likelihood = -29315.196
Iteration 27: (EM) log likelihood = -29280.868
Iteration 28: (EM) log likelihood = -29250.201
Iteration 29: (EM) log likelihood = -29218.58
Iteration 30: (EM) log likelihood = -29185.447
Iteration 31: (EM) log likelihood = -29149.928
Iteration 32: (EM) log likelihood = -29112.978
Iteration 33: (EM) log likelihood = -29080.365
Iteration 34: (EM) log likelihood = -29045.872
Iteration 35: (EM) log likelihood = -29012.214
Iteration 36: (EM) log likelihood = -28979.11
Iteration 37: (EM) log likelihood = -28946.465
Iteration 38: (EM) log likelihood = -28907.664
Iteration 39: (EM) log likelihood = -28879.664
Iteration 40: (EM) log likelihood = -28850.49
Iteration 41: (EM) log likelihood = -28820.789
Iteration 42: (EM) log likelihood = -28789.196
Iteration 43: (EM) log likelihood = -28756.94
Iteration 44: (EM) log likelihood = -28727.446
Iteration 45: (EM) log likelihood = -28698.462
Iteration 46: (EM) log likelihood = -28672.932
Iteration 47: (EM) log likelihood = -28649.923
Iteration 48: (EM) log likelihood = -28625.126
Iteration 49: (EM) log likelihood = -28600.197
Iteration 50: (EM) log likelihood = -28579.184
Iteration 51: (EM) log likelihood = -28571.44
Iteration 52: (EM) log likelihood = -28550.727
Iteration 53: (EM) log likelihood = -28534.442
Iteration 54: (EM) log likelihood = -28517.504
Iteration 55: (EM) log likelihood = -28501.254
Iteration 56: (EM) log likelihood = -28486.544
Iteration 57: (EM) log likelihood = -28485.845
Iteration 58: (EM) log likelihood = -28473.425
Iteration 59: (EM) log likelihood = -28462.791
Iteration 60: (EM) log likelihood = -28452.184
Iteration 61: (EM) log likelihood = -28443.089
Iteration 62: (EM) log likelihood = -28434.464
Iteration 63: (EM) log likelihood = -28427.706
Iteration 64: (EM) log likelihood = -28423.409
Iteration 65: (EM) log likelihood = -28416.108
Iteration 66: (EM) log likelihood = -28409.774
Iteration 67: (EM) log likelihood = -28404.242
Iteration 68: (EM) log likelihood = -28398.329
Iteration 69: (EM) log likelihood = -28392.871
Iteration 70: (EM) log likelihood = -28388.516
Iteration 71: (EM) log likelihood = -28387.817
Iteration 72: (EM) log likelihood = -28385.078
Iteration 73: (EM) log likelihood = -28381.078
Iteration 74: (EM) log likelihood = -28377.485
Iteration 75: (EM) log likelihood = -28374.132
Iteration 76: (EM) log likelihood = -28370.952
Iteration 77: (EM) log likelihood = -28368.038
Iteration 78: (EM) log likelihood = -28365.165
Iteration 79: (EM) log likelihood = -28362.434
Iteration 80: (EM) log likelihood = -28360.02
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7871.8874
Iteration 1: (class) log likelihood = -7871.8874
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30393
Iteration 1: (outcome) log likelihood = -29320.655
Iteration 2: (outcome) log likelihood = -29135.277
Iteration 3: (outcome) log likelihood = -29093.55
Iteration 4: (outcome) log likelihood = -29083.574
Iteration 5: (outcome) log likelihood = -29081.642
Iteration 6: (outcome) log likelihood = -29081.3
Iteration 7: (outcome) log likelihood = -29081.222
Iteration 8: (outcome) log likelihood = -29081.203
Iteration 9: (outcome) log likelihood = -29081.199
Iteration 10: (outcome) log likelihood = -29081.199
Iteration 11: (outcome) log likelihood = -29081.198
Iteration 12: (outcome) log likelihood = -29081.198
Iteration 13: (outcome) log likelihood = -29081.198
Refining starting values:
Iteration 0: (EM) log likelihood = -36919.114
Iteration 1: (EM) log likelihood = -36801.316
Iteration 2: (EM) log likelihood = -36460.621
Iteration 3: (EM) log likelihood = -35694.695
Iteration 4: (EM) log likelihood = -34563.691
Iteration 5: (EM) log likelihood = -33450.338
Iteration 6: (EM) log likelihood = -32554.909
Iteration 7: (EM) log likelihood = -31912.3
Iteration 8: (EM) log likelihood = -31486.743
Iteration 9: (EM) log likelihood = -31202.1
Iteration 10: (EM) log likelihood = -31000.65
Iteration 11: (EM) log likelihood = -30846.834
Iteration 12: (EM) log likelihood = -30726.728
Iteration 13: (EM) log likelihood = -30627.6
Iteration 14: (EM) log likelihood = -30543.141
Iteration 15: (EM) log likelihood = -30468.713
Iteration 16: (EM) log likelihood = -30400.242
Iteration 17: (EM) log likelihood = -30331.558
Iteration 18: (EM) log likelihood = -30256.558
Iteration 19: (EM) log likelihood = -30169.235
Iteration 20: (EM) log likelihood = -30069.124
Iteration 21: (EM) log likelihood = -29960.57
Iteration 22: (EM) log likelihood = -29855.317
Iteration 23: (EM) log likelihood = -29763.872
Iteration 24: (EM) log likelihood = -29690.809
Iteration 25: (EM) log likelihood = -29632.198
Iteration 26: (EM) log likelihood = -29587.004
Iteration 27: (EM) log likelihood = -29551.106
Iteration 28: (EM) log likelihood = -29521.175
Iteration 29: (EM) log likelihood = -29495.158
Iteration 30: (EM) log likelihood = -29471.744
Iteration 31: (EM) log likelihood = -29450.101
Iteration 32: (EM) log likelihood = -29429.249
Iteration 33: (EM) log likelihood = -29409.237
Iteration 34: (EM) log likelihood = -29389.019
Iteration 35: (EM) log likelihood = -29369.124
Iteration 36: (EM) log likelihood = -29348.647
Iteration 37: (EM) log likelihood = -29325.751
Iteration 38: (EM) log likelihood = -29300.463
Iteration 39: (EM) log likelihood = -29274.436
Iteration 40: (EM) log likelihood = -29245.116
Iteration 41: (EM) log likelihood = -29214.211
Iteration 42: (EM) log likelihood = -29180.744
Iteration 43: (EM) log likelihood = -29145.308
Iteration 44: (EM) log likelihood = -29109.492
Iteration 45: (EM) log likelihood = -29072.28
Iteration 46: (EM) log likelihood = -29034.318
Iteration 47: (EM) log likelihood = -28995.741
Iteration 48: (EM) log likelihood = -28956.801
Iteration 49: (EM) log likelihood = -28918.445
Iteration 50: (EM) log likelihood = -28880.468
Iteration 51: (EM) log likelihood = -28841.558
Iteration 52: (EM) log likelihood = -28804.39
Iteration 53: (EM) log likelihood = -28769.355
Iteration 54: (EM) log likelihood = -28733.491
Iteration 55: (EM) log likelihood = -28699.016
Iteration 56: (EM) log likelihood = -28668.218
Iteration 57: (EM) log likelihood = -28637.92
Iteration 58: (EM) log likelihood = -28607.451
Iteration 59: (EM) log likelihood = -28576.571
Iteration 60: (EM) log likelihood = -28547.109
Iteration 61: (EM) log likelihood = -28520.663
Iteration 62: (EM) log likelihood = -28495.112
Iteration 63: (EM) log likelihood = -28469.652
Iteration 64: (EM) log likelihood = -28446.802
Iteration 65: (EM) log likelihood = -28414.935
Iteration 66: (EM) log likelihood = -28395.458
Iteration 67: (EM) log likelihood = -28377.364
Iteration 68: (EM) log likelihood = -28360.722
Iteration 69: (EM) log likelihood = -28346.215
Iteration 70: (EM) log likelihood = -28332.498
Iteration 71: (EM) log likelihood = -28318.871
Iteration 72: (EM) log likelihood = -28305.059
Iteration 73: (EM) log likelihood = -28290.586
Iteration 74: (EM) log likelihood = -28278.184
Iteration 75: (EM) log likelihood = -28269.006
Iteration 76: (EM) log likelihood = -28260.234
Iteration 77: (EM) log likelihood = -28251.989
Iteration 78: (EM) log likelihood = -28243.133
Iteration 79: (EM) log likelihood = -28235.543
Iteration 80: (EM) log likelihood = -28227.358
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7874.6729
Iteration 1: (class) log likelihood = -7874.6729
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29912.353
Iteration 1: (outcome) log likelihood = -29255.194
Iteration 2: (outcome) log likelihood = -29128.992
Iteration 3: (outcome) log likelihood = -29104.162
Iteration 4: (outcome) log likelihood = -29098.441
Iteration 5: (outcome) log likelihood = -29097.28
Iteration 6: (outcome) log likelihood = -29097.086
Iteration 7: (outcome) log likelihood = -29097.04
Iteration 8: (outcome) log likelihood = -29097.03
Iteration 9: (outcome) log likelihood = -29097.027
Iteration 10: (outcome) log likelihood = -29097.027
Iteration 11: (outcome) log likelihood = -29097.027
Iteration 12: (outcome) log likelihood = -29097.027
Refining starting values:
Iteration 0: (EM) log likelihood = -36940.634
Iteration 1: (EM) log likelihood = -36815.653
Iteration 2: (EM) log likelihood = -36400.707
Iteration 3: (EM) log likelihood = -35416.937
Iteration 4: (EM) log likelihood = -34184.749
Iteration 5: (EM) log likelihood = -33241.913
Iteration 6: (EM) log likelihood = -32559.567
Iteration 7: (EM) log likelihood = -32036.311
Iteration 8: (EM) log likelihood = -31610.166
Iteration 9: (EM) log likelihood = -31252.292
Iteration 10: (EM) log likelihood = -30945.486
Iteration 11: (EM) log likelihood = -30682.638
Iteration 12: (EM) log likelihood = -30460.516
Iteration 13: (EM) log likelihood = -30281.311
Iteration 14: (EM) log likelihood = -30140.779
Iteration 15: (EM) log likelihood = -30032.34
Iteration 16: (EM) log likelihood = -29945.907
Iteration 17: (EM) log likelihood = -29874.598
Iteration 18: (EM) log likelihood = -29813.722
Iteration 19: (EM) log likelihood = -29760.558
Iteration 20: (EM) log likelihood = -29713.372
Iteration 21: (EM) log likelihood = -29670.696
Iteration 22: (EM) log likelihood = -29631.841
Iteration 23: (EM) log likelihood = -29597.573
Iteration 24: (EM) log likelihood = -29567.176
Iteration 25: (EM) log likelihood = -29538.817
Iteration 26: (EM) log likelihood = -29515.358
Iteration 27: (EM) log likelihood = -29495.624
Iteration 28: (EM) log likelihood = -29477.825
Iteration 29: (EM) log likelihood = -29461.476
Iteration 30: (EM) log likelihood = -29447.766
Iteration 31: (EM) log likelihood = -29432.739
Iteration 32: (EM) log likelihood = -29418.622
Iteration 33: (EM) log likelihood = -29408.209
Iteration 34: (EM) log likelihood = -29398.886
Iteration 35: (EM) log likelihood = -29390.216
Iteration 36: (EM) log likelihood = -29382.093
Iteration 37: (EM) log likelihood = -29374.067
Iteration 38: (EM) log likelihood = -29367.062
Iteration 39: (EM) log likelihood = -29359.517
Iteration 40: (EM) log likelihood = -29352.875
Iteration 41: (EM) log likelihood = -29347.991
Iteration 42: (EM) log likelihood = -29341.992
Iteration 43: (EM) log likelihood = -29336.814
Iteration 44: (EM) log likelihood = -29331.957
Iteration 45: (EM) log likelihood = -29326.304
Iteration 46: (EM) log likelihood = -29321.263
Iteration 47: (EM) log likelihood = -29316.345
Iteration 48: (EM) log likelihood = -29311.821
Iteration 49: (EM) log likelihood = -29307.193
Iteration 50: (EM) log likelihood = -29302.276
Iteration 51: (EM) log likelihood = -29297.455
Iteration 52: (EM) log likelihood = -29292.757
Iteration 53: (EM) log likelihood = -29287.385
Iteration 54: (EM) log likelihood = -29282.546
Iteration 55: (EM) log likelihood = -29278.329
Iteration 56: (EM) log likelihood = -29274.268
Iteration 57: (EM) log likelihood = -29269.413
Iteration 58: (EM) log likelihood = -29264.972
Iteration 59: (EM) log likelihood = -29260.459
Iteration 60: (EM) log likelihood = -29255.873
Iteration 61: (EM) log likelihood = -29252.027
Iteration 62: (EM) log likelihood = -29248.318
Iteration 63: (EM) log likelihood = -29242.598
Iteration 64: (EM) log likelihood = -29238.206
Iteration 65: (EM) log likelihood = -29233.378
Iteration 66: (EM) log likelihood = -29228.402
Iteration 67: (EM) log likelihood = -29222.619
Iteration 68: (EM) log likelihood = -29217.431
Iteration 69: (EM) log likelihood = -29211.331
Iteration 70: (EM) log likelihood = -29203.005
Iteration 71: (EM) log likelihood = -29195.798
Iteration 72: (EM) log likelihood = -29189.463
Iteration 73: (EM) log likelihood = -29182.889
Iteration 74: (EM) log likelihood = -29176.085
Iteration 75: (EM) log likelihood = -29169.041
Iteration 76: (EM) log likelihood = -29161.701
Iteration 77: (EM) log likelihood = -29154.59
Iteration 78: (EM) log likelihood = -29146.427
Iteration 79: (EM) log likelihood = -29137.409
Iteration 80: (EM) log likelihood = -29130.034
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7873.2113
Iteration 1: (class) log likelihood = -7873.2113
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30094.472
Iteration 1: (outcome) log likelihood = -29282.407
Iteration 2: (outcome) log likelihood = -29122.507
Iteration 3: (outcome) log likelihood = -29087.866
Iteration 4: (outcome) log likelihood = -29081.961
Iteration 5: (outcome) log likelihood = -29080.593
Iteration 6: (outcome) log likelihood = -29080.264
Iteration 7: (outcome) log likelihood = -29080.195
Iteration 8: (outcome) log likelihood = -29080.181
Iteration 9: (outcome) log likelihood = -29080.177
Iteration 10: (outcome) log likelihood = -29080.176
Iteration 11: (outcome) log likelihood = -29080.176
Iteration 12: (outcome) log likelihood = -29080.176
Refining starting values:
Iteration 0: (EM) log likelihood = -36919.244
Iteration 1: (EM) log likelihood = -36782.475
Iteration 2: (EM) log likelihood = -36322.194
Iteration 3: (EM) log likelihood = -35229.861
Iteration 4: (EM) log likelihood = -33987.501
Iteration 5: (EM) log likelihood = -33090.648
Iteration 6: (EM) log likelihood = -32434.618
Iteration 7: (EM) log likelihood = -31902.301
Iteration 8: (EM) log likelihood = -31457.718
Iteration 9: (EM) log likelihood = -31080.203
Iteration 10: (EM) log likelihood = -30747.407
Iteration 11: (EM) log likelihood = -30458.134
Iteration 12: (EM) log likelihood = -30216.699
Iteration 13: (EM) log likelihood = -30025.343
Iteration 14: (EM) log likelihood = -29877.5
Iteration 15: (EM) log likelihood = -29760.02
Iteration 16: (EM) log likelihood = -29665.974
Iteration 17: (EM) log likelihood = -29584.051
Iteration 18: (EM) log likelihood = -29513.346
Iteration 19: (EM) log likelihood = -29451.934
Iteration 20: (EM) log likelihood = -29396.753
Iteration 21: (EM) log likelihood = -29346.563
Iteration 22: (EM) log likelihood = -29300.574
Iteration 23: (EM) log likelihood = -29258.655
Iteration 24: (EM) log likelihood = -29219.034
Iteration 25: (EM) log likelihood = -29184.101
Iteration 26: (EM) log likelihood = -29152.344
Iteration 27: (EM) log likelihood = -29123.629
Iteration 28: (EM) log likelihood = -29096.752
Iteration 29: (EM) log likelihood = -29072.192
Iteration 30: (EM) log likelihood = -29049.434
Iteration 31: (EM) log likelihood = -29029.612
Iteration 32: (EM) log likelihood = -29011.453
Iteration 33: (EM) log likelihood = -28994.396
Iteration 34: (EM) log likelihood = -28979.531
Iteration 35: (EM) log likelihood = -28964.918
Iteration 36: (EM) log likelihood = -28951.884
Iteration 37: (EM) log likelihood = -28938.757
Iteration 38: (EM) log likelihood = -28926.34
Iteration 39: (EM) log likelihood = -28914.86
Iteration 40: (EM) log likelihood = -28904.634
Iteration 41: (EM) log likelihood = -28894.967
Iteration 42: (EM) log likelihood = -28885.569
Iteration 43: (EM) log likelihood = -28877.311
Iteration 44: (EM) log likelihood = -28869.633
Iteration 45: (EM) log likelihood = -28861.878
Iteration 46: (EM) log likelihood = -28855.297
Iteration 47: (EM) log likelihood = -28847.799
Iteration 48: (EM) log likelihood = -28841.148
Iteration 49: (EM) log likelihood = -28834.027
Iteration 50: (EM) log likelihood = -28828.143
Iteration 51: (EM) log likelihood = -28823.071
Iteration 52: (EM) log likelihood = -28817.736
Iteration 53: (EM) log likelihood = -28813.14
Iteration 54: (EM) log likelihood = -28807.963
Iteration 55: (EM) log likelihood = -28803.077
Iteration 56: (EM) log likelihood = -28797.467
Iteration 57: (EM) log likelihood = -28792.159
Iteration 58: (EM) log likelihood = -28787.38
Iteration 59: (EM) log likelihood = -28782.272
Iteration 60: (EM) log likelihood = -28779.014
Iteration 61: (EM) log likelihood = -28775.878
Iteration 62: (EM) log likelihood = -28770.256
Iteration 63: (EM) log likelihood = -28765.689
Iteration 64: (EM) log likelihood = -28759.273
Iteration 65: (EM) log likelihood = -28754.331
Iteration 66: (EM) log likelihood = -28751.865
Iteration 67: (EM) log likelihood = -28747.042
Iteration 68: (EM) log likelihood = -28742.984
Iteration 69: (EM) log likelihood = -28738.989
Iteration 70: (EM) log likelihood = -28735.183
Iteration 71: (EM) log likelihood = -28731.11
Iteration 72: (EM) log likelihood = -28727.428
Iteration 73: (EM) log likelihood = -28723.773
Iteration 74: (EM) log likelihood = -28718.259
Iteration 75: (EM) log likelihood = -28715.61
Iteration 76: (EM) log likelihood = -28712.717
Iteration 77: (EM) log likelihood = -28709.449
Iteration 78: (EM) log likelihood = -28706.641
Iteration 79: (EM) log likelihood = -28703.564
Iteration 80: (EM) log likelihood = -28700.789
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7874.2285
Iteration 1: (class) log likelihood = -7874.2285
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29546.605
Iteration 1: (outcome) log likelihood = -29179.422
Iteration 2: (outcome) log likelihood = -29116.18
Iteration 3: (outcome) log likelihood = -29102.048
Iteration 4: (outcome) log likelihood = -29099.234
Iteration 5: (outcome) log likelihood = -29098.572
Iteration 6: (outcome) log likelihood = -29098.466
Iteration 7: (outcome) log likelihood = -29098.439
Iteration 8: (outcome) log likelihood = -29098.434
Iteration 9: (outcome) log likelihood = -29098.433
Iteration 10: (outcome) log likelihood = -29098.433
Iteration 11: (outcome) log likelihood = -29098.433
Iteration 12: (outcome) log likelihood = -29098.433
Refining starting values:
Iteration 0: (EM) log likelihood = -36943.036
Iteration 1: (EM) log likelihood = -36830.723
Iteration 2: (EM) log likelihood = -36415.473
Iteration 3: (EM) log likelihood = -35265.554
Iteration 4: (EM) log likelihood = -33930.304
Iteration 5: (EM) log likelihood = -33105.037
Iteration 6: (EM) log likelihood = -32542.777
Iteration 7: (EM) log likelihood = -32093.034
Iteration 8: (EM) log likelihood = -31734.941
Iteration 9: (EM) log likelihood = -31444.714
Iteration 10: (EM) log likelihood = -31193.687
Iteration 11: (EM) log likelihood = -30962.868
Iteration 12: (EM) log likelihood = -30738.922
Iteration 13: (EM) log likelihood = -30529.439
Iteration 14: (EM) log likelihood = -30345.759
Iteration 15: (EM) log likelihood = -30195.1
Iteration 16: (EM) log likelihood = -30071.943
Iteration 17: (EM) log likelihood = -29968.795
Iteration 18: (EM) log likelihood = -29882.229
Iteration 19: (EM) log likelihood = -29803.717
Iteration 20: (EM) log likelihood = -29734.864
Iteration 21: (EM) log likelihood = -29671.385
Iteration 22: (EM) log likelihood = -29614.674
Iteration 23: (EM) log likelihood = -29561.941
Iteration 24: (EM) log likelihood = -29513.293
Iteration 25: (EM) log likelihood = -29468.001
Iteration 26: (EM) log likelihood = -29423.634
Iteration 27: (EM) log likelihood = -29384.095
Iteration 28: (EM) log likelihood = -29346.492
Iteration 29: (EM) log likelihood = -29309.589
Iteration 30: (EM) log likelihood = -29272.738
Iteration 31: (EM) log likelihood = -29236.691
Iteration 32: (EM) log likelihood = -29200.801
Iteration 33: (EM) log likelihood = -29163.93
Iteration 34: (EM) log likelihood = -29128.205
Iteration 35: (EM) log likelihood = -29091.893
Iteration 36: (EM) log likelihood = -29056.759
Iteration 37: (EM) log likelihood = -29021.707
Iteration 38: (EM) log likelihood = -28985.755
Iteration 39: (EM) log likelihood = -28951.615
Iteration 40: (EM) log likelihood = -28919.294
Iteration 41: (EM) log likelihood = -28887.177
Iteration 42: (EM) log likelihood = -28857.08
Iteration 43: (EM) log likelihood = -28827.984
Iteration 44: (EM) log likelihood = -28800.61
Iteration 45: (EM) log likelihood = -28774.877
Iteration 46: (EM) log likelihood = -28751.037
Iteration 47: (EM) log likelihood = -28728.735
Iteration 48: (EM) log likelihood = -28707.387
Iteration 49: (EM) log likelihood = -28688.904
Iteration 50: (EM) log likelihood = -28669.942
Iteration 51: (EM) log likelihood = -28653.535
Iteration 52: (EM) log likelihood = -28636.557
Iteration 53: (EM) log likelihood = -28620.573
Iteration 54: (EM) log likelihood = -28605.171
Iteration 55: (EM) log likelihood = -28589.772
Iteration 56: (EM) log likelihood = -28575.578
Iteration 57: (EM) log likelihood = -28560.492
Iteration 58: (EM) log likelihood = -28545.067
Iteration 59: (EM) log likelihood = -28530.475
Iteration 60: (EM) log likelihood = -28515.804
Iteration 61: (EM) log likelihood = -28500.264
Iteration 62: (EM) log likelihood = -28484.91
Iteration 63: (EM) log likelihood = -28469.142
Iteration 64: (EM) log likelihood = -28452.315
Iteration 65: (EM) log likelihood = -28435.866
Iteration 66: (EM) log likelihood = -28419.399
Iteration 67: (EM) log likelihood = -28405.135
Iteration 68: (EM) log likelihood = -28391.502
Iteration 69: (EM) log likelihood = -28379.458
Iteration 70: (EM) log likelihood = -28366.551
Iteration 71: (EM) log likelihood = -28355.373
Iteration 72: (EM) log likelihood = -28346.993
Iteration 73: (EM) log likelihood = -28337.344
Iteration 74: (EM) log likelihood = -28329.056
Iteration 75: (EM) log likelihood = -28320.412
Iteration 76: (EM) log likelihood = -28312.382
Iteration 77: (EM) log likelihood = -28304.666
Iteration 78: (EM) log likelihood = -28298.141
Iteration 79: (EM) log likelihood = -28291.732
Iteration 80: (EM) log likelihood = -28287.398
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7877.5658
Iteration 1: (class) log likelihood = -7877.5658
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30479.969
Iteration 1: (outcome) log likelihood = -29337.116
Iteration 2: (outcome) log likelihood = -29135.474
Iteration 3: (outcome) log likelihood = -29092.844
Iteration 4: (outcome) log likelihood = -29083.092
Iteration 5: (outcome) log likelihood = -29081.11
Iteration 6: (outcome) log likelihood = -29080.775
Iteration 7: (outcome) log likelihood = -29080.697
Iteration 8: (outcome) log likelihood = -29080.679
Iteration 9: (outcome) log likelihood = -29080.675
Iteration 10: (outcome) log likelihood = -29080.674
Iteration 11: (outcome) log likelihood = -29080.674
Iteration 12: (outcome) log likelihood = -29080.674
Refining starting values:
Iteration 0: (EM) log likelihood = -36920.277
Iteration 1: (EM) log likelihood = -36767.86
Iteration 2: (EM) log likelihood = -36309.935
Iteration 3: (EM) log likelihood = -35389.871
Iteration 4: (EM) log likelihood = -34269.648
Iteration 5: (EM) log likelihood = -33317.626
Iteration 6: (EM) log likelihood = -32590.535
Iteration 7: (EM) log likelihood = -32047.917
Iteration 8: (EM) log likelihood = -31633.518
Iteration 9: (EM) log likelihood = -31306.237
Iteration 10: (EM) log likelihood = -31037.265
Iteration 11: (EM) log likelihood = -30806.361
Iteration 12: (EM) log likelihood = -30604.349
Iteration 13: (EM) log likelihood = -30424.993
Iteration 14: (EM) log likelihood = -30266.358
Iteration 15: (EM) log likelihood = -30131.505
Iteration 16: (EM) log likelihood = -30012.72
Iteration 17: (EM) log likelihood = -29910.835
Iteration 18: (EM) log likelihood = -29820.421
Iteration 19: (EM) log likelihood = -29737.18
Iteration 20: (EM) log likelihood = -29657.334
Iteration 21: (EM) log likelihood = -29581.866
Iteration 22: (EM) log likelihood = -29513.82
Iteration 23: (EM) log likelihood = -29452.149
Iteration 24: (EM) log likelihood = -29397.289
Iteration 25: (EM) log likelihood = -29344.314
Iteration 26: (EM) log likelihood = -29292.146
Iteration 27: (EM) log likelihood = -29246.118
Iteration 28: (EM) log likelihood = -29205.472
Iteration 29: (EM) log likelihood = -29169.591
Iteration 30: (EM) log likelihood = -29138.253
Iteration 31: (EM) log likelihood = -29109.503
Iteration 32: (EM) log likelihood = -29085.012
Iteration 33: (EM) log likelihood = -29061.436
Iteration 34: (EM) log likelihood = -29040.879
Iteration 35: (EM) log likelihood = -29021.336
Iteration 36: (EM) log likelihood = -29003.476
Iteration 37: (EM) log likelihood = -28987.556
Iteration 38: (EM) log likelihood = -28971.426
Iteration 39: (EM) log likelihood = -28956.7
Iteration 40: (EM) log likelihood = -28941.66
Iteration 41: (EM) log likelihood = -28926.684
Iteration 42: (EM) log likelihood = -28912.542
Iteration 43: (EM) log likelihood = -28899.482
Iteration 44: (EM) log likelihood = -28885.665
Iteration 45: (EM) log likelihood = -28872.078
Iteration 46: (EM) log likelihood = -28858.98
Iteration 47: (EM) log likelihood = -28845.966
Iteration 48: (EM) log likelihood = -28834.941
Iteration 49: (EM) log likelihood = -28823.543
Iteration 50: (EM) log likelihood = -28809.737
Iteration 51: (EM) log likelihood = -28797.147
Iteration 52: (EM) log likelihood = -28784.651
Iteration 53: (EM) log likelihood = -28772.352
Iteration 54: (EM) log likelihood = -28760.498
Iteration 55: (EM) log likelihood = -28748.329
Iteration 56: (EM) log likelihood = -28735.436
Iteration 57: (EM) log likelihood = -28724.808
Iteration 58: (EM) log likelihood = -28714.223
Iteration 59: (EM) log likelihood = -28703.668
Iteration 60: (EM) log likelihood = -28693.357
Iteration 61: (EM) log likelihood = -28684.399
Iteration 62: (EM) log likelihood = -28674.181
Iteration 63: (EM) log likelihood = -28663.06
Iteration 64: (EM) log likelihood = -28653.387
Iteration 65: (EM) log likelihood = -28643.119
Iteration 66: (EM) log likelihood = -28633.798
Iteration 67: (EM) log likelihood = -28623.338
Iteration 68: (EM) log likelihood = -28615.034
Iteration 69: (EM) log likelihood = -28604.795
Iteration 70: (EM) log likelihood = -28597.199
Iteration 71: (EM) log likelihood = -28590.084
Iteration 72: (EM) log likelihood = -28581.182
Iteration 73: (EM) log likelihood = -28571.521
Iteration 74: (EM) log likelihood = -28561.35
Iteration 75: (EM) log likelihood = -28554.251
Iteration 76: (EM) log likelihood = -28547.392
Iteration 77: (EM) log likelihood = -28539.992
Iteration 78: (EM) log likelihood = -28536.213
Iteration 79: (EM) log likelihood = -28529.643
Iteration 80: (EM) log likelihood = -28520.052
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7876.9997
Iteration 1: (class) log likelihood = -7876.9997
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30423.444
Iteration 1: (outcome) log likelihood = -29318.537
Iteration 2: (outcome) log likelihood = -29125.867
Iteration 3: (outcome) log likelihood = -29088.245
Iteration 4: (outcome) log likelihood = -29079.626
Iteration 5: (outcome) log likelihood = -29077.588
Iteration 6: (outcome) log likelihood = -29077.167
Iteration 7: (outcome) log likelihood = -29077.095
Iteration 8: (outcome) log likelihood = -29077.087
Iteration 9: (outcome) log likelihood = -29077.086
Iteration 10: (outcome) log likelihood = -29077.085
Iteration 11: (outcome) log likelihood = -29077.085
Iteration 12: (outcome) log likelihood = -29077.085
Refining starting values:
Iteration 0: (EM) log likelihood = -36924.961
Iteration 1: (EM) log likelihood = -36817.307
Iteration 2: (EM) log likelihood = -36475.82
Iteration 3: (EM) log likelihood = -35661.163
Iteration 4: (EM) log likelihood = -34551.543
Iteration 5: (EM) log likelihood = -33605.456
Iteration 6: (EM) log likelihood = -32915.061
Iteration 7: (EM) log likelihood = -32413.707
Iteration 8: (EM) log likelihood = -32020.797
Iteration 9: (EM) log likelihood = -31684.742
Iteration 10: (EM) log likelihood = -31388.195
Iteration 11: (EM) log likelihood = -31127.667
Iteration 12: (EM) log likelihood = -30893.308
Iteration 13: (EM) log likelihood = -30674.326
Iteration 14: (EM) log likelihood = -30466.858
Iteration 15: (EM) log likelihood = -30279.13
Iteration 16: (EM) log likelihood = -30115.33
Iteration 17: (EM) log likelihood = -29975.416
Iteration 18: (EM) log likelihood = -29857.247
Iteration 19: (EM) log likelihood = -29755.988
Iteration 20: (EM) log likelihood = -29668.377
Iteration 21: (EM) log likelihood = -29588.741
Iteration 22: (EM) log likelihood = -29518.323
Iteration 23: (EM) log likelihood = -29451.904
Iteration 24: (EM) log likelihood = -29392.988
Iteration 25: (EM) log likelihood = -29339.154
Iteration 26: (EM) log likelihood = -29292.121
Iteration 27: (EM) log likelihood = -29249.44
Iteration 28: (EM) log likelihood = -29209.981
Iteration 29: (EM) log likelihood = -29173.451
Iteration 30: (EM) log likelihood = -29139.342
Iteration 31: (EM) log likelihood = -29106.791
Iteration 32: (EM) log likelihood = -29076.887
Iteration 33: (EM) log likelihood = -29047.647
Iteration 34: (EM) log likelihood = -29020.9
Iteration 35: (EM) log likelihood = -28995.687
Iteration 36: (EM) log likelihood = -28972.059
Iteration 37: (EM) log likelihood = -28949.951
Iteration 38: (EM) log likelihood = -28929.704
Iteration 39: (EM) log likelihood = -28911.022
Iteration 40: (EM) log likelihood = -28892.809
Iteration 41: (EM) log likelihood = -28876.467
Iteration 42: (EM) log likelihood = -28861.486
Iteration 43: (EM) log likelihood = -28846.749
Iteration 44: (EM) log likelihood = -28832.98
Iteration 45: (EM) log likelihood = -28819.688
Iteration 46: (EM) log likelihood = -28807.027
Iteration 47: (EM) log likelihood = -28794.912
Iteration 48: (EM) log likelihood = -28783.274
Iteration 49: (EM) log likelihood = -28773.583
Iteration 50: (EM) log likelihood = -28762.796
Iteration 51: (EM) log likelihood = -28752.885
Iteration 52: (EM) log likelihood = -28743.65
Iteration 53: (EM) log likelihood = -28732.661
Iteration 54: (EM) log likelihood = -28722.58
Iteration 55: (EM) log likelihood = -28711.894
Iteration 56: (EM) log likelihood = -28701.62
Iteration 57: (EM) log likelihood = -28691.244
Iteration 58: (EM) log likelihood = -28677.947
Iteration 59: (EM) log likelihood = -28666.13
Iteration 60: (EM) log likelihood = -28654.41
Iteration 61: (EM) log likelihood = -28641.956
Iteration 62: (EM) log likelihood = -28629.448
Iteration 63: (EM) log likelihood = -28615.458
Iteration 64: (EM) log likelihood = -28602.977
Iteration 65: (EM) log likelihood = -28591.101
Iteration 66: (EM) log likelihood = -28578.645
Iteration 67: (EM) log likelihood = -28566.924
Iteration 68: (EM) log likelihood = -28554.927
Iteration 69: (EM) log likelihood = -28543.263
Iteration 70: (EM) log likelihood = -28532.673
Iteration 71: (EM) log likelihood = -28520.81
Iteration 72: (EM) log likelihood = -28509.324
Iteration 73: (EM) log likelihood = -28500.236
Iteration 74: (EM) log likelihood = -28489.283
Iteration 75: (EM) log likelihood = -28478.404
Iteration 76: (EM) log likelihood = -28468.281
Iteration 77: (EM) log likelihood = -28459.885
Iteration 78: (EM) log likelihood = -28451.359
Iteration 79: (EM) log likelihood = -28443.583
Iteration 80: (EM) log likelihood = -28435.235
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7876.575
Iteration 1: (class) log likelihood = -7876.575
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30281.561
Iteration 1: (outcome) log likelihood = -29290.309
Iteration 2: (outcome) log likelihood = -29125.797
Iteration 3: (outcome) log likelihood = -29087.735
Iteration 4: (outcome) log likelihood = -29079.709
Iteration 5: (outcome) log likelihood = -29077.915
Iteration 6: (outcome) log likelihood = -29077.624
Iteration 7: (outcome) log likelihood = -29077.554
Iteration 8: (outcome) log likelihood = -29077.539
Iteration 9: (outcome) log likelihood = -29077.536
Iteration 10: (outcome) log likelihood = -29077.535
Iteration 11: (outcome) log likelihood = -29077.535
Iteration 12: (outcome) log likelihood = -29077.535
Iteration 13: (outcome) log likelihood = -29077.535
Refining starting values:
Iteration 0: (EM) log likelihood = -36910.11
Iteration 1: (EM) log likelihood = -36751.717
Iteration 2: (EM) log likelihood = -36283.259
Iteration 3: (EM) log likelihood = -35281.998
Iteration 4: (EM) log likelihood = -34082.474
Iteration 5: (EM) log likelihood = -33171.213
Iteration 6: (EM) log likelihood = -32475.343
Iteration 7: (EM) log likelihood = -31900.86
Iteration 8: (EM) log likelihood = -31429.57
Iteration 9: (EM) log likelihood = -31046.736
Iteration 10: (EM) log likelihood = -30722.146
Iteration 11: (EM) log likelihood = -30441.664
Iteration 12: (EM) log likelihood = -30202.481
Iteration 13: (EM) log likelihood = -30004.159
Iteration 14: (EM) log likelihood = -29839.33
Iteration 15: (EM) log likelihood = -29707.187
Iteration 16: (EM) log likelihood = -29599.857
Iteration 17: (EM) log likelihood = -29514.48
Iteration 18: (EM) log likelihood = -29450.28
Iteration 19: (EM) log likelihood = -29400.247
Iteration 20: (EM) log likelihood = -29362.111
Iteration 21: (EM) log likelihood = -29330.845
Iteration 22: (EM) log likelihood = -29305.615
Iteration 23: (EM) log likelihood = -29284.206
Iteration 24: (EM) log likelihood = -29264.992
Iteration 25: (EM) log likelihood = -29248.509
Iteration 26: (EM) log likelihood = -29234.045
Iteration 27: (EM) log likelihood = -29220.274
Iteration 28: (EM) log likelihood = -29207.299
Iteration 29: (EM) log likelihood = -29195.728
Iteration 30: (EM) log likelihood = -29184.378
Iteration 31: (EM) log likelihood = -29173.457
Iteration 32: (EM) log likelihood = -29163.893
Iteration 33: (EM) log likelihood = -29152.086
Iteration 34: (EM) log likelihood = -29142.994
Iteration 35: (EM) log likelihood = -29131.679
Iteration 36: (EM) log likelihood = -29121.078
Iteration 37: (EM) log likelihood = -29111.214
Iteration 38: (EM) log likelihood = -29099.733
Iteration 39: (EM) log likelihood = -29088.532
Iteration 40: (EM) log likelihood = -29077.759
Iteration 41: (EM) log likelihood = -29066.789
Iteration 42: (EM) log likelihood = -29056.664
Iteration 43: (EM) log likelihood = -29046.674
Iteration 44: (EM) log likelihood = -29038.315
Iteration 45: (EM) log likelihood = -29028.08
Iteration 46: (EM) log likelihood = -29017.947
Iteration 47: (EM) log likelihood = -29008.742
Iteration 48: (EM) log likelihood = -29001.018
Iteration 49: (EM) log likelihood = -28991.777
Iteration 50: (EM) log likelihood = -28982.798
Iteration 51: (EM) log likelihood = -28973
Iteration 52: (EM) log likelihood = -28963.837
Iteration 53: (EM) log likelihood = -28953.783
Iteration 54: (EM) log likelihood = -28944.323
Iteration 55: (EM) log likelihood = -28934.189
Iteration 56: (EM) log likelihood = -28922.971
Iteration 57: (EM) log likelihood = -28912.258
Iteration 58: (EM) log likelihood = -28900.434
Iteration 59: (EM) log likelihood = -28889.465
Iteration 60: (EM) log likelihood = -28877.915
Iteration 61: (EM) log likelihood = -28867.071
Iteration 62: (EM) log likelihood = -28857.463
Iteration 63: (EM) log likelihood = -28846.849
Iteration 64: (EM) log likelihood = -28837.223
Iteration 65: (EM) log likelihood = -28826.441
Iteration 66: (EM) log likelihood = -28815.569
Iteration 67: (EM) log likelihood = -28805.205
Iteration 68: (EM) log likelihood = -28794.042
Iteration 69: (EM) log likelihood = -28785.444
Iteration 70: (EM) log likelihood = -28775.851
Iteration 71: (EM) log likelihood = -28766.545
Iteration 72: (EM) log likelihood = -28757.428
Iteration 73: (EM) log likelihood = -28748.327
Iteration 74: (EM) log likelihood = -28740.845
Iteration 75: (EM) log likelihood = -28733.403
Iteration 76: (EM) log likelihood = -28724.028
Iteration 77: (EM) log likelihood = -28715.714
Iteration 78: (EM) log likelihood = -28706.377
Iteration 79: (EM) log likelihood = -28696.168
Iteration 80: (EM) log likelihood = -28686.973
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7876.6967
Iteration 1: (class) log likelihood = -7876.6967
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30481.169
Iteration 1: (outcome) log likelihood = -29321.428
Iteration 2: (outcome) log likelihood = -29141.104
Iteration 3: (outcome) log likelihood = -29095.396
Iteration 4: (outcome) log likelihood = -29087.07
Iteration 5: (outcome) log likelihood = -29085.175
Iteration 6: (outcome) log likelihood = -29084.739
Iteration 7: (outcome) log likelihood = -29084.638
Iteration 8: (outcome) log likelihood = -29084.617
Iteration 9: (outcome) log likelihood = -29084.613
Iteration 10: (outcome) log likelihood = -29084.613
Iteration 11: (outcome) log likelihood = -29084.613
Iteration 12: (outcome) log likelihood = -29084.613
Refining starting values:
Iteration 0: (EM) log likelihood = -36932.489
Iteration 1: (EM) log likelihood = -36806.887
Iteration 2: (EM) log likelihood = -36395.912
Iteration 3: (EM) log likelihood = -35467.869
Iteration 4: (EM) log likelihood = -34310.086
Iteration 5: (EM) log likelihood = -33385.253
Iteration 6: (EM) log likelihood = -32700.23
Iteration 7: (EM) log likelihood = -32181.454
Iteration 8: (EM) log likelihood = -31791.726
Iteration 9: (EM) log likelihood = -31487.808
Iteration 10: (EM) log likelihood = -31236.205
Iteration 11: (EM) log likelihood = -31018.605
Iteration 12: (EM) log likelihood = -30819.179
Iteration 13: (EM) log likelihood = -30629.542
Iteration 14: (EM) log likelihood = -30445.905
Iteration 15: (EM) log likelihood = -30268.134
Iteration 16: (EM) log likelihood = -30096.542
Iteration 17: (EM) log likelihood = -29932.567
Iteration 18: (EM) log likelihood = -29781.257
Iteration 19: (EM) log likelihood = -29651.546
Iteration 20: (EM) log likelihood = -29541.168
Iteration 21: (EM) log likelihood = -29450.399
Iteration 22: (EM) log likelihood = -29373.968
Iteration 23: (EM) log likelihood = -29307.118
Iteration 24: (EM) log likelihood = -29246.769
Iteration 25: (EM) log likelihood = -29191.027
Iteration 26: (EM) log likelihood = -29138.833
Iteration 27: (EM) log likelihood = -29090.106
Iteration 28: (EM) log likelihood = -29045.36
Iteration 29: (EM) log likelihood = -29001.485
Iteration 30: (EM) log likelihood = -28961.324
Iteration 31: (EM) log likelihood = -28925.525
Iteration 32: (EM) log likelihood = -28892.424
Iteration 33: (EM) log likelihood = -28860.153
Iteration 34: (EM) log likelihood = -28829.703
Iteration 35: (EM) log likelihood = -28800.909
Iteration 36: (EM) log likelihood = -28777.9
Iteration 37: (EM) log likelihood = -28754.313
Iteration 38: (EM) log likelihood = -28730.74
Iteration 39: (EM) log likelihood = -28709.542
Iteration 40: (EM) log likelihood = -28688.827
Iteration 41: (EM) log likelihood = -28670.501
Iteration 42: (EM) log likelihood = -28653.507
Iteration 43: (EM) log likelihood = -28638.342
Iteration 44: (EM) log likelihood = -28623.42
Iteration 45: (EM) log likelihood = -28611.014
Iteration 46: (EM) log likelihood = -28601.834
Iteration 47: (EM) log likelihood = -28593.575
Iteration 48: (EM) log likelihood = -28579.29
Iteration 49: (EM) log likelihood = -28569.01
Iteration 50: (EM) log likelihood = -28563.654
Iteration 51: (EM) log likelihood = -28553.851
Iteration 52: (EM) log likelihood = -28544.747
Iteration 53: (EM) log likelihood = -28537.849
Iteration 54: (EM) log likelihood = -28530.539
Iteration 55: (EM) log likelihood = -28524.092
Iteration 56: (EM) log likelihood = -28517.87
Iteration 57: (EM) log likelihood = -28512.337
Iteration 58: (EM) log likelihood = -28507.153
Iteration 59: (EM) log likelihood = -28502.327
Iteration 60: (EM) log likelihood = -28497.736
Iteration 61: (EM) log likelihood = -28492.473
Iteration 62: (EM) log likelihood = -28487.142
Iteration 63: (EM) log likelihood = -28481.091
Iteration 64: (EM) log likelihood = -28475.631
Iteration 65: (EM) log likelihood = -28469.971
Iteration 66: (EM) log likelihood = -28464.057
Iteration 67: (EM) log likelihood = -28458.75
Iteration 68: (EM) log likelihood = -28453.655
Iteration 69: (EM) log likelihood = -28448.243
Iteration 70: (EM) log likelihood = -28443.626
Iteration 71: (EM) log likelihood = -28438.763
Iteration 72: (EM) log likelihood = -28434.002
Iteration 73: (EM) log likelihood = -28429.395
Iteration 74: (EM) log likelihood = -28425.358
Iteration 75: (EM) log likelihood = -28420.616
Iteration 76: (EM) log likelihood = -28416.474
Iteration 77: (EM) log likelihood = -28412.078
Iteration 78: (EM) log likelihood = -28406.002
Iteration 79: (EM) log likelihood = -28403.512
Iteration 80: (EM) log likelihood = -28399.391
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7875.573
Iteration 1: (class) log likelihood = -7875.573
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30250.32
Iteration 1: (outcome) log likelihood = -29274.803
Iteration 2: (outcome) log likelihood = -29122.628
Iteration 3: (outcome) log likelihood = -29085.493
Iteration 4: (outcome) log likelihood = -29077.22
Iteration 5: (outcome) log likelihood = -29075.219
Iteration 6: (outcome) log likelihood = -29074.812
Iteration 7: (outcome) log likelihood = -29074.745
Iteration 8: (outcome) log likelihood = -29074.738
Iteration 9: (outcome) log likelihood = -29074.736
Iteration 10: (outcome) log likelihood = -29074.736
Iteration 11: (outcome) log likelihood = -29074.736
Iteration 12: (outcome) log likelihood = -29074.736
Refining starting values:
Iteration 0: (EM) log likelihood = -36906.163
Iteration 1: (EM) log likelihood = -36727.622
Iteration 2: (EM) log likelihood = -36180.03
Iteration 3: (EM) log likelihood = -35105.863
Iteration 4: (EM) log likelihood = -34024.174
Iteration 5: (EM) log likelihood = -33289.395
Iteration 6: (EM) log likelihood = -32734.745
Iteration 7: (EM) log likelihood = -32261.343
Iteration 8: (EM) log likelihood = -31851.207
Iteration 9: (EM) log likelihood = -31496.55
Iteration 10: (EM) log likelihood = -31193.016
Iteration 11: (EM) log likelihood = -30939.471
Iteration 12: (EM) log likelihood = -30732.999
Iteration 13: (EM) log likelihood = -30562.224
Iteration 14: (EM) log likelihood = -30418.517
Iteration 15: (EM) log likelihood = -30296.626
Iteration 16: (EM) log likelihood = -30190.428
Iteration 17: (EM) log likelihood = -30098.463
Iteration 18: (EM) log likelihood = -30018.898
Iteration 19: (EM) log likelihood = -29948.099
Iteration 20: (EM) log likelihood = -29884.673
Iteration 21: (EM) log likelihood = -29826.066
Iteration 22: (EM) log likelihood = -29771.43
Iteration 23: (EM) log likelihood = -29720.609
Iteration 24: (EM) log likelihood = -29671.617
Iteration 25: (EM) log likelihood = -29624.781
Iteration 26: (EM) log likelihood = -29581.289
Iteration 27: (EM) log likelihood = -29538.33
Iteration 28: (EM) log likelihood = -29497.394
Iteration 29: (EM) log likelihood = -29457.639
Iteration 30: (EM) log likelihood = -29420.016
Iteration 31: (EM) log likelihood = -29384.492
Iteration 32: (EM) log likelihood = -29351.666
Iteration 33: (EM) log likelihood = -29319.603
Iteration 34: (EM) log likelihood = -29289.067
Iteration 35: (EM) log likelihood = -29259.965
Iteration 36: (EM) log likelihood = -29232.344
Iteration 37: (EM) log likelihood = -29206.511
Iteration 38: (EM) log likelihood = -29183.862
Iteration 39: (EM) log likelihood = -29161.914
Iteration 40: (EM) log likelihood = -29141.147
Iteration 41: (EM) log likelihood = -29122.426
Iteration 42: (EM) log likelihood = -29104.555
Iteration 43: (EM) log likelihood = -29087.833
Iteration 44: (EM) log likelihood = -29072.625
Iteration 45: (EM) log likelihood = -29057.983
Iteration 46: (EM) log likelihood = -29044.009
Iteration 47: (EM) log likelihood = -29030.277
Iteration 48: (EM) log likelihood = -29017.169
Iteration 49: (EM) log likelihood = -29004.634
Iteration 50: (EM) log likelihood = -28992.213
Iteration 51: (EM) log likelihood = -28979.751
Iteration 52: (EM) log likelihood = -28968.05
Iteration 53: (EM) log likelihood = -28955.968
Iteration 54: (EM) log likelihood = -28944.033
Iteration 55: (EM) log likelihood = -28932.353
Iteration 56: (EM) log likelihood = -28921.79
Iteration 57: (EM) log likelihood = -28911.47
Iteration 58: (EM) log likelihood = -28901.987
Iteration 59: (EM) log likelihood = -28893.56
Iteration 60: (EM) log likelihood = -28884.89
Iteration 61: (EM) log likelihood = -28877.167
Iteration 62: (EM) log likelihood = -28869.952
Iteration 63: (EM) log likelihood = -28862.524
Iteration 64: (EM) log likelihood = -28856.575
Iteration 65: (EM) log likelihood = -28851.139
Iteration 66: (EM) log likelihood = -28844.58
Iteration 67: (EM) log likelihood = -28839.419
Iteration 68: (EM) log likelihood = -28835.163
Iteration 69: (EM) log likelihood = -28830.332
Iteration 70: (EM) log likelihood = -28826.939
Iteration 71: (EM) log likelihood = -28823.518
Iteration 72: (EM) log likelihood = -28820.198
Iteration 73: (EM) log likelihood = -28816.474
Iteration 74: (EM) log likelihood = -28813.462
Iteration 75: (EM) log likelihood = -28811.107
Iteration 76: (EM) log likelihood = -28807.95
Iteration 77: (EM) log likelihood = -28804.94
Iteration 78: (EM) log likelihood = -28801.63
Iteration 79: (EM) log likelihood = -28798.547
Iteration 80: (EM) log likelihood = -28794.864
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7874.1487
Iteration 1: (class) log likelihood = -7874.1487
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29865.751
Iteration 1: (outcome) log likelihood = -29235.309
Iteration 2: (outcome) log likelihood = -29099.178
Iteration 3: (outcome) log likelihood = -29074.487
Iteration 4: (outcome) log likelihood = -29068.53
Iteration 5: (outcome) log likelihood = -29067.372
Iteration 6: (outcome) log likelihood = -29067.179
Iteration 7: (outcome) log likelihood = -29067.133
Iteration 8: (outcome) log likelihood = -29067.123
Iteration 9: (outcome) log likelihood = -29067.12
Iteration 10: (outcome) log likelihood = -29067.12
Iteration 11: (outcome) log likelihood = -29067.12
Iteration 12: (outcome) log likelihood = -29067.12
Refining starting values:
Iteration 0: (EM) log likelihood = -36874.515
Iteration 1: (EM) log likelihood = -36639.676
Iteration 2: (EM) log likelihood = -35990.614
Iteration 3: (EM) log likelihood = -34885.729
Iteration 4: (EM) log likelihood = -33862.068
Iteration 5: (EM) log likelihood = -33143.736
Iteration 6: (EM) log likelihood = -32588.94
Iteration 7: (EM) log likelihood = -32124.783
Iteration 8: (EM) log likelihood = -31723.847
Iteration 9: (EM) log likelihood = -31377.311
Iteration 10: (EM) log likelihood = -31072.865
Iteration 11: (EM) log likelihood = -30800.739
Iteration 12: (EM) log likelihood = -30563.653
Iteration 13: (EM) log likelihood = -30371.97
Iteration 14: (EM) log likelihood = -30222.695
Iteration 15: (EM) log likelihood = -30105.85
Iteration 16: (EM) log likelihood = -30009.32
Iteration 17: (EM) log likelihood = -29924.119
Iteration 18: (EM) log likelihood = -29844.679
Iteration 19: (EM) log likelihood = -29768.949
Iteration 20: (EM) log likelihood = -29692.162
Iteration 21: (EM) log likelihood = -29615.618
Iteration 22: (EM) log likelihood = -29538.381
Iteration 23: (EM) log likelihood = -29459.96
Iteration 24: (EM) log likelihood = -29382.636
Iteration 25: (EM) log likelihood = -29304.802
Iteration 26: (EM) log likelihood = -29228.719
Iteration 27: (EM) log likelihood = -29156.206
Iteration 28: (EM) log likelihood = -29085.629
Iteration 29: (EM) log likelihood = -29019.84
Iteration 30: (EM) log likelihood = -28958.272
Iteration 31: (EM) log likelihood = -28902.511
Iteration 32: (EM) log likelihood = -28852.212
Iteration 33: (EM) log likelihood = -28806.139
Iteration 34: (EM) log likelihood = -28766.698
Iteration 35: (EM) log likelihood = -28733.654
Iteration 36: (EM) log likelihood = -28703.427
Iteration 37: (EM) log likelihood = -28681.752
Iteration 38: (EM) log likelihood = -28656.627
Iteration 39: (EM) log likelihood = -28636.884
Iteration 40: (EM) log likelihood = -28620.955
Iteration 41: (EM) log likelihood = -28614
Iteration 42: (EM) log likelihood = -28598.968
Iteration 43: (EM) log likelihood = -28587.46
Iteration 44: (EM) log likelihood = -28579.761
Iteration 45: (EM) log likelihood = -28569.504
Iteration 46: (EM) log likelihood = -28561.715
Iteration 47: (EM) log likelihood = -28554.271
Iteration 48: (EM) log likelihood = -28542.396
Iteration 49: (EM) log likelihood = -28531.645
Iteration 50: (EM) log likelihood = -28523.908
Iteration 51: (EM) log likelihood = -28516.223
Iteration 52: (EM) log likelihood = -28509.894
Iteration 53: (EM) log likelihood = -28503.621
Iteration 54: (EM) log likelihood = -28497.262
Iteration 55: (EM) log likelihood = -28490.72
Iteration 56: (EM) log likelihood = -28483.12
Iteration 57: (EM) log likelihood = -28477.516
Iteration 58: (EM) log likelihood = -28472.335
Iteration 59: (EM) log likelihood = -28466.249
Iteration 60: (EM) log likelihood = -28460.264
Iteration 61: (EM) log likelihood = -28454.51
Iteration 62: (EM) log likelihood = -28449.888
Iteration 63: (EM) log likelihood = -28444.252
Iteration 64: (EM) log likelihood = -28437.889
Iteration 65: (EM) log likelihood = -28431.943
Iteration 66: (EM) log likelihood = -28425.709
Iteration 67: (EM) log likelihood = -28419.686
Iteration 68: (EM) log likelihood = -28412.73
Iteration 69: (EM) log likelihood = -28408.713
Iteration 70: (EM) log likelihood = -28403.694
Iteration 71: (EM) log likelihood = -28397.079
Iteration 72: (EM) log likelihood = -28390.577
Iteration 73: (EM) log likelihood = -28385.258
Iteration 74: (EM) log likelihood = -28379.133
Iteration 75: (EM) log likelihood = -28372.347
Iteration 76: (EM) log likelihood = -28366.43
Iteration 77: (EM) log likelihood = -28358.943
Iteration 78: (EM) log likelihood = -28354.83
Iteration 79: (EM) log likelihood = -28348.155
Iteration 80: (EM) log likelihood = -28341.559
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7877.4581
Iteration 1: (class) log likelihood = -7877.4581
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29836.819
Iteration 1: (outcome) log likelihood = -29276.573
Iteration 2: (outcome) log likelihood = -29128.432
Iteration 3: (outcome) log likelihood = -29104.407
Iteration 4: (outcome) log likelihood = -29098.8
Iteration 5: (outcome) log likelihood = -29097.632
Iteration 6: (outcome) log likelihood = -29097.39
Iteration 7: (outcome) log likelihood = -29097.334
Iteration 8: (outcome) log likelihood = -29097.321
Iteration 9: (outcome) log likelihood = -29097.318
Iteration 10: (outcome) log likelihood = -29097.318
Iteration 11: (outcome) log likelihood = -29097.318
Iteration 12: (outcome) log likelihood = -29097.318
Refining starting values:
Iteration 0: (EM) log likelihood = -36957.253
Iteration 1: (EM) log likelihood = -36885.128
Iteration 2: (EM) log likelihood = -36667.723
Iteration 3: (EM) log likelihood = -36155.688
Iteration 4: (EM) log likelihood = -35297.923
Iteration 5: (EM) log likelihood = -34244.132
Iteration 6: (EM) log likelihood = -33195.571
Iteration 7: (EM) log likelihood = -32295.055
Iteration 8: (EM) log likelihood = -31595.625
Iteration 9: (EM) log likelihood = -31090.924
Iteration 10: (EM) log likelihood = -30746.68
Iteration 11: (EM) log likelihood = -30523.342
Iteration 12: (EM) log likelihood = -30374.196
Iteration 13: (EM) log likelihood = -30265.713
Iteration 14: (EM) log likelihood = -30180.267
Iteration 15: (EM) log likelihood = -30103.61
Iteration 16: (EM) log likelihood = -30033.244
Iteration 17: (EM) log likelihood = -29957.682
Iteration 18: (EM) log likelihood = -29876.464
Iteration 19: (EM) log likelihood = -29793.97
Iteration 20: (EM) log likelihood = -29710.86
Iteration 21: (EM) log likelihood = -29630.854
Iteration 22: (EM) log likelihood = -29557.988
Iteration 23: (EM) log likelihood = -29490.884
Iteration 24: (EM) log likelihood = -29433.303
Iteration 25: (EM) log likelihood = -29383.9
Iteration 26: (EM) log likelihood = -29341.299
Iteration 27: (EM) log likelihood = -29305.315
Iteration 28: (EM) log likelihood = -29275.478
Iteration 29: (EM) log likelihood = -29249.498
Iteration 30: (EM) log likelihood = -29227.464
Iteration 31: (EM) log likelihood = -29208.083
Iteration 32: (EM) log likelihood = -29190.979
Iteration 33: (EM) log likelihood = -29176.062
Iteration 34: (EM) log likelihood = -29162.748
Iteration 35: (EM) log likelihood = -29150.854
Iteration 36: (EM) log likelihood = -29140.011
Iteration 37: (EM) log likelihood = -29130.04
Iteration 38: (EM) log likelihood = -29120.852
Iteration 39: (EM) log likelihood = -29113.213
Iteration 40: (EM) log likelihood = -29105.926
Iteration 41: (EM) log likelihood = -29099.682
Iteration 42: (EM) log likelihood = -29094.379
Iteration 43: (EM) log likelihood = -29089.485
Iteration 44: (EM) log likelihood = -29084.747
Iteration 45: (EM) log likelihood = -29080.402
Iteration 46: (EM) log likelihood = -29076.351
Iteration 47: (EM) log likelihood = -29072.577
Iteration 48: (EM) log likelihood = -29069.333
Iteration 49: (EM) log likelihood = -29066.06
Iteration 50: (EM) log likelihood = -29063.494
Iteration 51: (EM) log likelihood = -29060.504
Iteration 52: (EM) log likelihood = -29057.591
Iteration 53: (EM) log likelihood = -29055.477
Iteration 54: (EM) log likelihood = -29052.479
Iteration 55: (EM) log likelihood = -29050.024
Iteration 56: (EM) log likelihood = -29047.676
Iteration 57: (EM) log likelihood = -29045.62
Iteration 58: (EM) log likelihood = -29043.055
Iteration 59: (EM) log likelihood = -29041.088
Iteration 60: (EM) log likelihood = -29039.152
Iteration 61: (EM) log likelihood = -29036.903
Iteration 62: (EM) log likelihood = -29034.801
Iteration 63: (EM) log likelihood = -29033.12
Iteration 64: (EM) log likelihood = -29031.429
Iteration 65: (EM) log likelihood = -29029.589
Iteration 66: (EM) log likelihood = -29027.755
Iteration 67: (EM) log likelihood = -29025.98
Iteration 68: (EM) log likelihood = -29024.118
Iteration 69: (EM) log likelihood = -29022.491
Iteration 70: (EM) log likelihood = -29020.608
Iteration 71: (EM) log likelihood = -29018.549
Iteration 72: (EM) log likelihood = -29016.835
Iteration 73: (EM) log likelihood = -29015.293
Iteration 74: (EM) log likelihood = -29013.625
Iteration 75: (EM) log likelihood = -29012.255
Iteration 76: (EM) log likelihood = -29010.524
Iteration 77: (EM) log likelihood = -29009.137
Iteration 78: (EM) log likelihood = -29006.875
Iteration 79: (EM) log likelihood = -29005.166
Iteration 80: (EM) log likelihood = -29003.361
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7875.8128
Iteration 1: (class) log likelihood = -7875.8128
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30212.93
Iteration 1: (outcome) log likelihood = -29306.107
Iteration 2: (outcome) log likelihood = -29137.49
Iteration 3: (outcome) log likelihood = -29102.823
Iteration 4: (outcome) log likelihood = -29096.444
Iteration 5: (outcome) log likelihood = -29095.009
Iteration 6: (outcome) log likelihood = -29094.678
Iteration 7: (outcome) log likelihood = -29094.601
Iteration 8: (outcome) log likelihood = -29094.584
Iteration 9: (outcome) log likelihood = -29094.582
Iteration 10: (outcome) log likelihood = -29094.581
Iteration 11: (outcome) log likelihood = -29094.581
Iteration 12: (outcome) log likelihood = -29094.581
Refining starting values:
Iteration 0: (EM) log likelihood = -36923.249
Iteration 1: (EM) log likelihood = -36743.621
Iteration 2: (EM) log likelihood = -36197.123
Iteration 3: (EM) log likelihood = -35157.5
Iteration 4: (EM) log likelihood = -34052.04
Iteration 5: (EM) log likelihood = -33172.7
Iteration 6: (EM) log likelihood = -32499.368
Iteration 7: (EM) log likelihood = -32008.441
Iteration 8: (EM) log likelihood = -31651.446
Iteration 9: (EM) log likelihood = -31379.573
Iteration 10: (EM) log likelihood = -31151.877
Iteration 11: (EM) log likelihood = -30953.286
Iteration 12: (EM) log likelihood = -30769.433
Iteration 13: (EM) log likelihood = -30593.091
Iteration 14: (EM) log likelihood = -30421.09
Iteration 15: (EM) log likelihood = -30254.894
Iteration 16: (EM) log likelihood = -30106.61
Iteration 17: (EM) log likelihood = -29983.213
Iteration 18: (EM) log likelihood = -29888.844
Iteration 19: (EM) log likelihood = -29817.769
Iteration 20: (EM) log likelihood = -29762.75
Iteration 21: (EM) log likelihood = -29721.313
Iteration 22: (EM) log likelihood = -29686.215
Iteration 23: (EM) log likelihood = -29654.974
Iteration 24: (EM) log likelihood = -29625.883
Iteration 25: (EM) log likelihood = -29595.85
Iteration 26: (EM) log likelihood = -29565.886
Iteration 27: (EM) log likelihood = -29534.23
Iteration 28: (EM) log likelihood = -29500.62
Iteration 29: (EM) log likelihood = -29463.766
Iteration 30: (EM) log likelihood = -29425.099
Iteration 31: (EM) log likelihood = -29385.252
Iteration 32: (EM) log likelihood = -29344.746
Iteration 33: (EM) log likelihood = -29305.457
Iteration 34: (EM) log likelihood = -29269.567
Iteration 35: (EM) log likelihood = -29236.241
Iteration 36: (EM) log likelihood = -29204.873
Iteration 37: (EM) log likelihood = -29177.983
Iteration 38: (EM) log likelihood = -29152.163
Iteration 39: (EM) log likelihood = -29128.9
Iteration 40: (EM) log likelihood = -29107.476
Iteration 41: (EM) log likelihood = -29087.775
Iteration 42: (EM) log likelihood = -29069.603
Iteration 43: (EM) log likelihood = -29052.625
Iteration 44: (EM) log likelihood = -29036.245
Iteration 45: (EM) log likelihood = -29020.934
Iteration 46: (EM) log likelihood = -29006.146
Iteration 47: (EM) log likelihood = -28991.962
Iteration 48: (EM) log likelihood = -28976.428
Iteration 49: (EM) log likelihood = -28962.612
Iteration 50: (EM) log likelihood = -28947.887
Iteration 51: (EM) log likelihood = -28933.533
Iteration 52: (EM) log likelihood = -28919.413
Iteration 53: (EM) log likelihood = -28904.833
Iteration 54: (EM) log likelihood = -28890.12
Iteration 55: (EM) log likelihood = -28874.936
Iteration 56: (EM) log likelihood = -28860.069
Iteration 57: (EM) log likelihood = -28845.891
Iteration 58: (EM) log likelihood = -28831.54
Iteration 59: (EM) log likelihood = -28816.744
Iteration 60: (EM) log likelihood = -28803.05
Iteration 61: (EM) log likelihood = -28789.318
Iteration 62: (EM) log likelihood = -28776.14
Iteration 63: (EM) log likelihood = -28762.439
Iteration 64: (EM) log likelihood = -28749
Iteration 65: (EM) log likelihood = -28735.087
Iteration 66: (EM) log likelihood = -28721.619
Iteration 67: (EM) log likelihood = -28708.845
Iteration 68: (EM) log likelihood = -28698.23
Iteration 69: (EM) log likelihood = -28688.316
Iteration 70: (EM) log likelihood = -28678.123
Iteration 71: (EM) log likelihood = -28669.787
Iteration 72: (EM) log likelihood = -28660.861
Iteration 73: (EM) log likelihood = -28649.121
Iteration 74: (EM) log likelihood = -28643.735
Iteration 75: (EM) log likelihood = -28638.577
Iteration 76: (EM) log likelihood = -28630.387
Iteration 77: (EM) log likelihood = -28625.911
Iteration 78: (EM) log likelihood = -28622.304
Iteration 79: (EM) log likelihood = -28618.478
Iteration 80: (EM) log likelihood = -28616.158
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7876.6539
Iteration 1: (class) log likelihood = -7876.6539
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29781.466
Iteration 1: (outcome) log likelihood = -29230.376
Iteration 2: (outcome) log likelihood = -29125.279
Iteration 3: (outcome) log likelihood = -29102.384
Iteration 4: (outcome) log likelihood = -29098.234
Iteration 5: (outcome) log likelihood = -29097.323
Iteration 6: (outcome) log likelihood = -29097.101
Iteration 7: (outcome) log likelihood = -29097.054
Iteration 8: (outcome) log likelihood = -29097.045
Iteration 9: (outcome) log likelihood = -29097.042
Iteration 10: (outcome) log likelihood = -29097.042
Iteration 11: (outcome) log likelihood = -29097.042
Iteration 12: (outcome) log likelihood = -29097.042
Refining starting values:
Iteration 0: (EM) log likelihood = -36943.442
Iteration 1: (EM) log likelihood = -36818.34
Iteration 2: (EM) log likelihood = -36455.525
Iteration 3: (EM) log likelihood = -35729.807
Iteration 4: (EM) log likelihood = -34756.016
Iteration 5: (EM) log likelihood = -33807.5
Iteration 6: (EM) log likelihood = -33065.923
Iteration 7: (EM) log likelihood = -32492.923
Iteration 8: (EM) log likelihood = -32005.165
Iteration 9: (EM) log likelihood = -31587.461
Iteration 10: (EM) log likelihood = -31247.751
Iteration 11: (EM) log likelihood = -30983.1
Iteration 12: (EM) log likelihood = -30779.257
Iteration 13: (EM) log likelihood = -30616.117
Iteration 14: (EM) log likelihood = -30477.156
Iteration 15: (EM) log likelihood = -30350.873
Iteration 16: (EM) log likelihood = -30234.86
Iteration 17: (EM) log likelihood = -30122.255
Iteration 18: (EM) log likelihood = -30011.496
Iteration 19: (EM) log likelihood = -29904.057
Iteration 20: (EM) log likelihood = -29802.451
Iteration 21: (EM) log likelihood = -29705.299
Iteration 22: (EM) log likelihood = -29615.48
Iteration 23: (EM) log likelihood = -29535.413
Iteration 24: (EM) log likelihood = -29462.794
Iteration 25: (EM) log likelihood = -29395.179
Iteration 26: (EM) log likelihood = -29335.792
Iteration 27: (EM) log likelihood = -29281.966
Iteration 28: (EM) log likelihood = -29232.78
Iteration 29: (EM) log likelihood = -29188.934
Iteration 30: (EM) log likelihood = -29151.287
Iteration 31: (EM) log likelihood = -29117.241
Iteration 32: (EM) log likelihood = -29087.267
Iteration 33: (EM) log likelihood = -29058.399
Iteration 34: (EM) log likelihood = -29031.792
Iteration 35: (EM) log likelihood = -29008.085
Iteration 36: (EM) log likelihood = -28987.285
Iteration 37: (EM) log likelihood = -28968.433
Iteration 38: (EM) log likelihood = -28950.115
Iteration 39: (EM) log likelihood = -28933.294
Iteration 40: (EM) log likelihood = -28917.112
Iteration 41: (EM) log likelihood = -28901.941
Iteration 42: (EM) log likelihood = -28888.294
Iteration 43: (EM) log likelihood = -28875.318
Iteration 44: (EM) log likelihood = -28858.566
Iteration 45: (EM) log likelihood = -28845.144
Iteration 46: (EM) log likelihood = -28832.817
Iteration 47: (EM) log likelihood = -28821.067
Iteration 48: (EM) log likelihood = -28807.239
Iteration 49: (EM) log likelihood = -28791.606
Iteration 50: (EM) log likelihood = -28778.889
Iteration 51: (EM) log likelihood = -28765.809
Iteration 52: (EM) log likelihood = -28752.149
Iteration 53: (EM) log likelihood = -28738.933
Iteration 54: (EM) log likelihood = -28725.164
Iteration 55: (EM) log likelihood = -28710.764
Iteration 56: (EM) log likelihood = -28696.507
Iteration 57: (EM) log likelihood = -28681.911
Iteration 58: (EM) log likelihood = -28665.176
Iteration 59: (EM) log likelihood = -28650.992
Iteration 60: (EM) log likelihood = -28635.281
Iteration 61: (EM) log likelihood = -28618.811
Iteration 62: (EM) log likelihood = -28601.485
Iteration 63: (EM) log likelihood = -28584.891
Iteration 64: (EM) log likelihood = -28567.249
Iteration 65: (EM) log likelihood = -28549.5
Iteration 66: (EM) log likelihood = -28531.908
Iteration 67: (EM) log likelihood = -28515.398
Iteration 68: (EM) log likelihood = -28499.309
Iteration 69: (EM) log likelihood = -28482.178
Iteration 70: (EM) log likelihood = -28466.096
Iteration 71: (EM) log likelihood = -28449.922
Iteration 72: (EM) log likelihood = -28434.03
Iteration 73: (EM) log likelihood = -28419.53
Iteration 74: (EM) log likelihood = -28406.091
Iteration 75: (EM) log likelihood = -28393.246
Iteration 76: (EM) log likelihood = -28382.745
Iteration 77: (EM) log likelihood = -28371.348
Iteration 78: (EM) log likelihood = -28360.055
Iteration 79: (EM) log likelihood = -28350.416
Iteration 80: (EM) log likelihood = -28343.848
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7876.7148
Iteration 1: (class) log likelihood = -7876.7148
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29905.694
Iteration 1: (outcome) log likelihood = -29274.43
Iteration 2: (outcome) log likelihood = -29128.635
Iteration 3: (outcome) log likelihood = -29105.241
Iteration 4: (outcome) log likelihood = -29100.267
Iteration 5: (outcome) log likelihood = -29099.165
Iteration 6: (outcome) log likelihood = -29098.985
Iteration 7: (outcome) log likelihood = -29098.941
Iteration 8: (outcome) log likelihood = -29098.932
Iteration 9: (outcome) log likelihood = -29098.93
Iteration 10: (outcome) log likelihood = -29098.93
Iteration 11: (outcome) log likelihood = -29098.93
Iteration 12: (outcome) log likelihood = -29098.929
Refining starting values:
Iteration 0: (EM) log likelihood = -36970.027
Iteration 1: (EM) log likelihood = -36939.798
Iteration 2: (EM) log likelihood = -36852.143
Iteration 3: (EM) log likelihood = -36608.183
Iteration 4: (EM) log likelihood = -36004.735
Iteration 5: (EM) log likelihood = -34881.215
Iteration 6: (EM) log likelihood = -33589.892
Iteration 7: (EM) log likelihood = -32598.329
Iteration 8: (EM) log likelihood = -31910.485
Iteration 9: (EM) log likelihood = -31420.779
Iteration 10: (EM) log likelihood = -31071.777
Iteration 11: (EM) log likelihood = -30803.656
Iteration 12: (EM) log likelihood = -30576.379
Iteration 13: (EM) log likelihood = -30367.306
Iteration 14: (EM) log likelihood = -30192.032
Iteration 15: (EM) log likelihood = -30056.471
Iteration 16: (EM) log likelihood = -29947.921
Iteration 17: (EM) log likelihood = -29857.623
Iteration 18: (EM) log likelihood = -29777.858
Iteration 19: (EM) log likelihood = -29705.936
Iteration 20: (EM) log likelihood = -29637.521
Iteration 21: (EM) log likelihood = -29573.792
Iteration 22: (EM) log likelihood = -29510.38
Iteration 23: (EM) log likelihood = -29451.955
Iteration 24: (EM) log likelihood = -29399.496
Iteration 25: (EM) log likelihood = -29351.749
Iteration 26: (EM) log likelihood = -29308.116
Iteration 27: (EM) log likelihood = -29272.073
Iteration 28: (EM) log likelihood = -29240.139
Iteration 29: (EM) log likelihood = -29213.182
Iteration 30: (EM) log likelihood = -29188.12
Iteration 31: (EM) log likelihood = -29165.644
Iteration 32: (EM) log likelihood = -29146.891
Iteration 33: (EM) log likelihood = -29130.149
Iteration 34: (EM) log likelihood = -29111.847
Iteration 35: (EM) log likelihood = -29095.873
Iteration 36: (EM) log likelihood = -29080.32
Iteration 37: (EM) log likelihood = -29064.135
Iteration 38: (EM) log likelihood = -29049.071
Iteration 39: (EM) log likelihood = -29032.195
Iteration 40: (EM) log likelihood = -29014.495
Iteration 41: (EM) log likelihood = -28997.42
Iteration 42: (EM) log likelihood = -28980.961
Iteration 43: (EM) log likelihood = -28964.69
Iteration 44: (EM) log likelihood = -28948.411
Iteration 45: (EM) log likelihood = -28931.513
Iteration 46: (EM) log likelihood = -28914.892
Iteration 47: (EM) log likelihood = -28896.775
Iteration 48: (EM) log likelihood = -28879.651
Iteration 49: (EM) log likelihood = -28863.132
Iteration 50: (EM) log likelihood = -28844.981
Iteration 51: (EM) log likelihood = -28826.312
Iteration 52: (EM) log likelihood = -28808.954
Iteration 53: (EM) log likelihood = -28792.91
Iteration 54: (EM) log likelihood = -28778.085
Iteration 55: (EM) log likelihood = -28762.133
Iteration 56: (EM) log likelihood = -28748.181
Iteration 57: (EM) log likelihood = -28735.137
Iteration 58: (EM) log likelihood = -28721.633
Iteration 59: (EM) log likelihood = -28709.064
Iteration 60: (EM) log likelihood = -28696.88
Iteration 61: (EM) log likelihood = -28686.009
Iteration 62: (EM) log likelihood = -28674.812
Iteration 63: (EM) log likelihood = -28664.447
Iteration 64: (EM) log likelihood = -28655.068
Iteration 65: (EM) log likelihood = -28646.498
Iteration 66: (EM) log likelihood = -28638.801
Iteration 67: (EM) log likelihood = -28631.164
Iteration 68: (EM) log likelihood = -28623.887
Iteration 69: (EM) log likelihood = -28616.981
Iteration 70: (EM) log likelihood = -28610.335
Iteration 71: (EM) log likelihood = -28603.763
Iteration 72: (EM) log likelihood = -28596.973
Iteration 73: (EM) log likelihood = -28591.916
Iteration 74: (EM) log likelihood = -28585.345
Iteration 75: (EM) log likelihood = -28577.868
Iteration 76: (EM) log likelihood = -28570.78
Iteration 77: (EM) log likelihood = -28565.028
Iteration 78: (EM) log likelihood = -28560.253
Iteration 79: (EM) log likelihood = -28555.343
Iteration 80: (EM) log likelihood = -28550.753
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7876.6458
Iteration 1: (class) log likelihood = -7876.6458
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30200.59
Iteration 1: (outcome) log likelihood = -29300.352
Iteration 2: (outcome) log likelihood = -29121.26
Iteration 3: (outcome) log likelihood = -29084.59
Iteration 4: (outcome) log likelihood = -29078.331
Iteration 5: (outcome) log likelihood = -29076.902
Iteration 6: (outcome) log likelihood = -29076.55
Iteration 7: (outcome) log likelihood = -29076.479
Iteration 8: (outcome) log likelihood = -29076.464
Iteration 9: (outcome) log likelihood = -29076.46
Iteration 10: (outcome) log likelihood = -29076.459
Iteration 11: (outcome) log likelihood = -29076.459
Iteration 12: (outcome) log likelihood = -29076.459
Refining starting values:
Iteration 0: (EM) log likelihood = -36901.944
Iteration 1: (EM) log likelihood = -36689.435
Iteration 2: (EM) log likelihood = -36039.808
Iteration 3: (EM) log likelihood = -34863.197
Iteration 4: (EM) log likelihood = -33738.993
Iteration 5: (EM) log likelihood = -32940.248
Iteration 6: (EM) log likelihood = -32357.157
Iteration 7: (EM) log likelihood = -31892.136
Iteration 8: (EM) log likelihood = -31499.777
Iteration 9: (EM) log likelihood = -31183.556
Iteration 10: (EM) log likelihood = -30937.28
Iteration 11: (EM) log likelihood = -30737.786
Iteration 12: (EM) log likelihood = -30569.425
Iteration 13: (EM) log likelihood = -30425.414
Iteration 14: (EM) log likelihood = -30296.589
Iteration 15: (EM) log likelihood = -30177.216
Iteration 16: (EM) log likelihood = -30066.737
Iteration 17: (EM) log likelihood = -29963.279
Iteration 18: (EM) log likelihood = -29867.101
Iteration 19: (EM) log likelihood = -29779.593
Iteration 20: (EM) log likelihood = -29699.134
Iteration 21: (EM) log likelihood = -29625.034
Iteration 22: (EM) log likelihood = -29555.076
Iteration 23: (EM) log likelihood = -29490.723
Iteration 24: (EM) log likelihood = -29427.723
Iteration 25: (EM) log likelihood = -29368.039
Iteration 26: (EM) log likelihood = -29310.596
Iteration 27: (EM) log likelihood = -29254.996
Iteration 28: (EM) log likelihood = -29198.9
Iteration 29: (EM) log likelihood = -29147.899
Iteration 30: (EM) log likelihood = -29101.474
Iteration 31: (EM) log likelihood = -29057.606
Iteration 32: (EM) log likelihood = -29019.766
Iteration 33: (EM) log likelihood = -28985.709
Iteration 34: (EM) log likelihood = -28954.057
Iteration 35: (EM) log likelihood = -28927.657
Iteration 36: (EM) log likelihood = -28903.353
Iteration 37: (EM) log likelihood = -28883.112
Iteration 38: (EM) log likelihood = -28863.43
Iteration 39: (EM) log likelihood = -28844.545
Iteration 40: (EM) log likelihood = -28827.284
Iteration 41: (EM) log likelihood = -28810.655
Iteration 42: (EM) log likelihood = -28794.506
Iteration 43: (EM) log likelihood = -28779.913
Iteration 44: (EM) log likelihood = -28761.24
Iteration 45: (EM) log likelihood = -28747.145
Iteration 46: (EM) log likelihood = -28735.953
Iteration 47: (EM) log likelihood = -28723.359
Iteration 48: (EM) log likelihood = -28711.474
Iteration 49: (EM) log likelihood = -28699.689
Iteration 50: (EM) log likelihood = -28686.739
Iteration 51: (EM) log likelihood = -28672.186
Iteration 52: (EM) log likelihood = -28661.35
Iteration 53: (EM) log likelihood = -28652.572
Iteration 54: (EM) log likelihood = -28643.44
Iteration 55: (EM) log likelihood = -28634.733
Iteration 56: (EM) log likelihood = -28626.861
Iteration 57: (EM) log likelihood = -28618.029
Iteration 58: (EM) log likelihood = -28610.046
Iteration 59: (EM) log likelihood = -28602.139
Iteration 60: (EM) log likelihood = -28594.098
Iteration 61: (EM) log likelihood = -28586.244
Iteration 62: (EM) log likelihood = -28581.012
Iteration 63: (EM) log likelihood = -28574.375
Iteration 64: (EM) log likelihood = -28568.639
Iteration 65: (EM) log likelihood = -28562.161
Iteration 66: (EM) log likelihood = -28556.746
Iteration 67: (EM) log likelihood = -28551.3
Iteration 68: (EM) log likelihood = -28545.338
Iteration 69: (EM) log likelihood = -28537.67
Iteration 70: (EM) log likelihood = -28532.438
Iteration 71: (EM) log likelihood = -28528.119
Iteration 72: (EM) log likelihood = -28523.157
Iteration 73: (EM) log likelihood = -28518.277
Iteration 74: (EM) log likelihood = -28513.593
Iteration 75: (EM) log likelihood = -28509.573
Iteration 76: (EM) log likelihood = -28504.977
Iteration 77: (EM) log likelihood = -28503.2
Iteration 78: (EM) log likelihood = -28497.876
Iteration 79: (EM) log likelihood = -28492.523
Iteration 80: (EM) log likelihood = -28487.254
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7874.0873
Iteration 1: (class) log likelihood = -7874.0873
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30138.428
Iteration 1: (outcome) log likelihood = -29300.329
Iteration 2: (outcome) log likelihood = -29118.274
Iteration 3: (outcome) log likelihood = -29080.841
Iteration 4: (outcome) log likelihood = -29073.28
Iteration 5: (outcome) log likelihood = -29071.653
Iteration 6: (outcome) log likelihood = -29071.29
Iteration 7: (outcome) log likelihood = -29071.2
Iteration 8: (outcome) log likelihood = -29071.182
Iteration 9: (outcome) log likelihood = -29071.178
Iteration 10: (outcome) log likelihood = -29071.177
Iteration 11: (outcome) log likelihood = -29071.177
Iteration 12: (outcome) log likelihood = -29071.177
Iteration 13: (outcome) log likelihood = -29071.177
Refining starting values:
Iteration 0: (EM) log likelihood = -36915.324
Iteration 1: (EM) log likelihood = -36811.415
Iteration 2: (EM) log likelihood = -36512.837
Iteration 3: (EM) log likelihood = -35780.892
Iteration 4: (EM) log likelihood = -34594.397
Iteration 5: (EM) log likelihood = -33419.924
Iteration 6: (EM) log likelihood = -32547.515
Iteration 7: (EM) log likelihood = -31961.301
Iteration 8: (EM) log likelihood = -31567.122
Iteration 9: (EM) log likelihood = -31274.151
Iteration 10: (EM) log likelihood = -31033.229
Iteration 11: (EM) log likelihood = -30825.228
Iteration 12: (EM) log likelihood = -30639.599
Iteration 13: (EM) log likelihood = -30478.424
Iteration 14: (EM) log likelihood = -30345.569
Iteration 15: (EM) log likelihood = -30235.591
Iteration 16: (EM) log likelihood = -30137.853
Iteration 17: (EM) log likelihood = -30046.093
Iteration 18: (EM) log likelihood = -29963.054
Iteration 19: (EM) log likelihood = -29891.034
Iteration 20: (EM) log likelihood = -29829.545
Iteration 21: (EM) log likelihood = -29776.079
Iteration 22: (EM) log likelihood = -29728.746
Iteration 23: (EM) log likelihood = -29686.152
Iteration 24: (EM) log likelihood = -29649.376
Iteration 25: (EM) log likelihood = -29615.484
Iteration 26: (EM) log likelihood = -29584.918
Iteration 27: (EM) log likelihood = -29555.153
Iteration 28: (EM) log likelihood = -29519.608
Iteration 29: (EM) log likelihood = -29483.269
Iteration 30: (EM) log likelihood = -29449.503
Iteration 31: (EM) log likelihood = -29418.588
Iteration 32: (EM) log likelihood = -29388.753
Iteration 33: (EM) log likelihood = -29360.309
Iteration 34: (EM) log likelihood = -29333.41
Iteration 35: (EM) log likelihood = -29306.477
Iteration 36: (EM) log likelihood = -29279.745
Iteration 37: (EM) log likelihood = -29254.125
Iteration 38: (EM) log likelihood = -29228.332
Iteration 39: (EM) log likelihood = -29203.062
Iteration 40: (EM) log likelihood = -29177.352
Iteration 41: (EM) log likelihood = -29152.597
Iteration 42: (EM) log likelihood = -29127.206
Iteration 43: (EM) log likelihood = -29101.961
Iteration 44: (EM) log likelihood = -29075.361
Iteration 45: (EM) log likelihood = -29051.524
Iteration 46: (EM) log likelihood = -29027.917
Iteration 47: (EM) log likelihood = -29003.702
Iteration 48: (EM) log likelihood = -28979.807
Iteration 49: (EM) log likelihood = -28956.288
Iteration 50: (EM) log likelihood = -28934.9
Iteration 51: (EM) log likelihood = -28912.933
Iteration 52: (EM) log likelihood = -28891.996
Iteration 53: (EM) log likelihood = -28872.699
Iteration 54: (EM) log likelihood = -28853.338
Iteration 55: (EM) log likelihood = -28834.712
Iteration 56: (EM) log likelihood = -28819.595
Iteration 57: (EM) log likelihood = -28801.645
Iteration 58: (EM) log likelihood = -28787.863
Iteration 59: (EM) log likelihood = -28773.596
Iteration 60: (EM) log likelihood = -28759.867
Iteration 61: (EM) log likelihood = -28746.889
Iteration 62: (EM) log likelihood = -28735.428
Iteration 63: (EM) log likelihood = -28725.248
Iteration 64: (EM) log likelihood = -28716.089
Iteration 65: (EM) log likelihood = -28704.722
Iteration 66: (EM) log likelihood = -28697.624
Iteration 67: (EM) log likelihood = -28689.01
Iteration 68: (EM) log likelihood = -28680.917
Iteration 69: (EM) log likelihood = -28673.129
Iteration 70: (EM) log likelihood = -28665.042
Iteration 71: (EM) log likelihood = -28658.1
Iteration 72: (EM) log likelihood = -28651.519
Iteration 73: (EM) log likelihood = -28645.41
Iteration 74: (EM) log likelihood = -28639.467
Iteration 75: (EM) log likelihood = -28633.191
Iteration 76: (EM) log likelihood = -28627.718
Iteration 77: (EM) log likelihood = -28622.736
Iteration 78: (EM) log likelihood = -28618.446
Iteration 79: (EM) log likelihood = -28613.826
Iteration 80: (EM) log likelihood = -28608.85
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7876.9195
Iteration 1: (class) log likelihood = -7876.9195
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30519.181
Iteration 1: (outcome) log likelihood = -29341.624
Iteration 2: (outcome) log likelihood = -29125.398
Iteration 3: (outcome) log likelihood = -29082.151
Iteration 4: (outcome) log likelihood = -29071.741
Iteration 5: (outcome) log likelihood = -29069.575
Iteration 6: (outcome) log likelihood = -29069.121
Iteration 7: (outcome) log likelihood = -29069.018
Iteration 8: (outcome) log likelihood = -29068.992
Iteration 9: (outcome) log likelihood = -29068.987
Iteration 10: (outcome) log likelihood = -29068.986
Iteration 11: (outcome) log likelihood = -29068.986
Iteration 12: (outcome) log likelihood = -29068.986
Iteration 13: (outcome) log likelihood = -29068.986
Refining starting values:
Iteration 0: (EM) log likelihood = -36913.784
Iteration 1: (EM) log likelihood = -36778.365
Iteration 2: (EM) log likelihood = -36370.474
Iteration 3: (EM) log likelihood = -35501.134
Iteration 4: (EM) log likelihood = -34386.502
Iteration 5: (EM) log likelihood = -33441.559
Iteration 6: (EM) log likelihood = -32705.651
Iteration 7: (EM) log likelihood = -32134.516
Iteration 8: (EM) log likelihood = -31707.975
Iteration 9: (EM) log likelihood = -31396.993
Iteration 10: (EM) log likelihood = -31167.135
Iteration 11: (EM) log likelihood = -30990.693
Iteration 12: (EM) log likelihood = -30847.06
Iteration 13: (EM) log likelihood = -30730.943
Iteration 14: (EM) log likelihood = -30629.277
Iteration 15: (EM) log likelihood = -30539.688
Iteration 16: (EM) log likelihood = -30453.964
Iteration 17: (EM) log likelihood = -30368.108
Iteration 18: (EM) log likelihood = -30278.106
Iteration 19: (EM) log likelihood = -30186.881
Iteration 20: (EM) log likelihood = -30100.609
Iteration 21: (EM) log likelihood = -30027.908
Iteration 22: (EM) log likelihood = -29966.685
Iteration 23: (EM) log likelihood = -29913.242
Iteration 24: (EM) log likelihood = -29864.066
Iteration 25: (EM) log likelihood = -29817.506
Iteration 26: (EM) log likelihood = -29771.445
Iteration 27: (EM) log likelihood = -29723.349
Iteration 28: (EM) log likelihood = -29678.634
Iteration 29: (EM) log likelihood = -29635.735
Iteration 30: (EM) log likelihood = -29596.936
Iteration 31: (EM) log likelihood = -29561.543
Iteration 32: (EM) log likelihood = -29527.053
Iteration 33: (EM) log likelihood = -29498.098
Iteration 34: (EM) log likelihood = -29472.214
Iteration 35: (EM) log likelihood = -29449.52
Iteration 36: (EM) log likelihood = -29429.23
Iteration 37: (EM) log likelihood = -29409.247
Iteration 38: (EM) log likelihood = -29392.319
Iteration 39: (EM) log likelihood = -29376.525
Iteration 40: (EM) log likelihood = -29360.24
Iteration 41: (EM) log likelihood = -29346.464
Iteration 42: (EM) log likelihood = -29337.303
Iteration 43: (EM) log likelihood = -29323.746
Iteration 44: (EM) log likelihood = -29313.177
Iteration 45: (EM) log likelihood = -29302.369
Iteration 46: (EM) log likelihood = -29292.986
Iteration 47: (EM) log likelihood = -29282.999
Iteration 48: (EM) log likelihood = -29274.101
Iteration 49: (EM) log likelihood = -29266.148
Iteration 50: (EM) log likelihood = -29258.847
Iteration 51: (EM) log likelihood = -29252.904
Iteration 52: (EM) log likelihood = -29247.204
Iteration 53: (EM) log likelihood = -29241.561
Iteration 54: (EM) log likelihood = -29235.248
Iteration 55: (EM) log likelihood = -29229.538
Iteration 56: (EM) log likelihood = -29223.415
Iteration 57: (EM) log likelihood = -29215.756
Iteration 58: (EM) log likelihood = -29209.028
Iteration 59: (EM) log likelihood = -29201.703
Iteration 60: (EM) log likelihood = -29196.034
Iteration 61: (EM) log likelihood = -29189.882
Iteration 62: (EM) log likelihood = -29185.484
Iteration 63: (EM) log likelihood = -29178.582
Iteration 64: (EM) log likelihood = -29171.357
Iteration 65: (EM) log likelihood = -29165.154
Iteration 66: (EM) log likelihood = -29159.534
Iteration 67: (EM) log likelihood = -29152.877
Iteration 68: (EM) log likelihood = -29144.479
Iteration 69: (EM) log likelihood = -29138.421
Iteration 70: (EM) log likelihood = -29130.757
Iteration 71: (EM) log likelihood = -29125.023
Iteration 72: (EM) log likelihood = -29118.565
Iteration 73: (EM) log likelihood = -29113.337
Iteration 74: (EM) log likelihood = -29107.163
Iteration 75: (EM) log likelihood = -29101.879
Iteration 76: (EM) log likelihood = -29096.654
Iteration 77: (EM) log likelihood = -29091.502
Iteration 78: (EM) log likelihood = -29086.558
Iteration 79: (EM) log likelihood = -29081.848
Iteration 80: (EM) log likelihood = -29077.52
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7877.5936
Iteration 1: (class) log likelihood = -7877.5936
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30471.529
Iteration 1: (outcome) log likelihood = -29312.072
Iteration 2: (outcome) log likelihood = -29123.17
Iteration 3: (outcome) log likelihood = -29078.42
Iteration 4: (outcome) log likelihood = -29070.247
Iteration 5: (outcome) log likelihood = -29068.399
Iteration 6: (outcome) log likelihood = -29067.973
Iteration 7: (outcome) log likelihood = -29067.874
Iteration 8: (outcome) log likelihood = -29067.853
Iteration 9: (outcome) log likelihood = -29067.849
Iteration 10: (outcome) log likelihood = -29067.849
Iteration 11: (outcome) log likelihood = -29067.849
Iteration 12: (outcome) log likelihood = -29067.849
Refining starting values:
Iteration 0: (EM) log likelihood = -36902.807
Iteration 1: (EM) log likelihood = -36726.18
Iteration 2: (EM) log likelihood = -36176.307
Iteration 3: (EM) log likelihood = -35148.528
Iteration 4: (EM) log likelihood = -34120.797
Iteration 5: (EM) log likelihood = -33341.373
Iteration 6: (EM) log likelihood = -32727.619
Iteration 7: (EM) log likelihood = -32214.624
Iteration 8: (EM) log likelihood = -31777.877
Iteration 9: (EM) log likelihood = -31408.078
Iteration 10: (EM) log likelihood = -31108.293
Iteration 11: (EM) log likelihood = -30864.193
Iteration 12: (EM) log likelihood = -30663.176
Iteration 13: (EM) log likelihood = -30490.941
Iteration 14: (EM) log likelihood = -30330.775
Iteration 15: (EM) log likelihood = -30180.732
Iteration 16: (EM) log likelihood = -30039.423
Iteration 17: (EM) log likelihood = -29907.802
Iteration 18: (EM) log likelihood = -29785.117
Iteration 19: (EM) log likelihood = -29678.073
Iteration 20: (EM) log likelihood = -29584.206
Iteration 21: (EM) log likelihood = -29502.803
Iteration 22: (EM) log likelihood = -29435.425
Iteration 23: (EM) log likelihood = -29380.218
Iteration 24: (EM) log likelihood = -29335.47
Iteration 25: (EM) log likelihood = -29298.411
Iteration 26: (EM) log likelihood = -29268.028
Iteration 27: (EM) log likelihood = -29242.934
Iteration 28: (EM) log likelihood = -29220.518
Iteration 29: (EM) log likelihood = -29202.258
Iteration 30: (EM) log likelihood = -29180.661
Iteration 31: (EM) log likelihood = -29166.606
Iteration 32: (EM) log likelihood = -29153.453
Iteration 33: (EM) log likelihood = -29141.805
Iteration 34: (EM) log likelihood = -29129.449
Iteration 35: (EM) log likelihood = -29116.026
Iteration 36: (EM) log likelihood = -29104.537
Iteration 37: (EM) log likelihood = -29092.961
Iteration 38: (EM) log likelihood = -29081.24
Iteration 39: (EM) log likelihood = -29071.28
Iteration 40: (EM) log likelihood = -29060.084
Iteration 41: (EM) log likelihood = -29050.174
Iteration 42: (EM) log likelihood = -29039.463
Iteration 43: (EM) log likelihood = -29027.71
Iteration 44: (EM) log likelihood = -29017.022
Iteration 45: (EM) log likelihood = -29007.469
Iteration 46: (EM) log likelihood = -28999.33
Iteration 47: (EM) log likelihood = -28987.414
Iteration 48: (EM) log likelihood = -28974.727
Iteration 49: (EM) log likelihood = -28966.353
Iteration 50: (EM) log likelihood = -28953.93
Iteration 51: (EM) log likelihood = -28942.629
Iteration 52: (EM) log likelihood = -28930.843
Iteration 53: (EM) log likelihood = -28920.403
Iteration 54: (EM) log likelihood = -28910.595
Iteration 55: (EM) log likelihood = -28899.003
Iteration 56: (EM) log likelihood = -28889.411
Iteration 57: (EM) log likelihood = -28878.496
Iteration 58: (EM) log likelihood = -28868.311
Iteration 59: (EM) log likelihood = -28859.563
Iteration 60: (EM) log likelihood = -28850.392
Iteration 61: (EM) log likelihood = -28841.341
Iteration 62: (EM) log likelihood = -28834.651
Iteration 63: (EM) log likelihood = -28828.496
Iteration 64: (EM) log likelihood = -28821.533
Iteration 65: (EM) log likelihood = -28815.722
Iteration 66: (EM) log likelihood = -28809.065
Iteration 67: (EM) log likelihood = -28802.017
Iteration 68: (EM) log likelihood = -28797.079
Iteration 69: (EM) log likelihood = -28791.797
Iteration 70: (EM) log likelihood = -28786.312
Iteration 71: (EM) log likelihood = -28782.535
Iteration 72: (EM) log likelihood = -28776.462
Iteration 73: (EM) log likelihood = -28768.179
Iteration 74: (EM) log likelihood = -28763.955
Iteration 75: (EM) log likelihood = -28759.54
Iteration 76: (EM) log likelihood = -28754.669
Iteration 77: (EM) log likelihood = -28750.576
Iteration 78: (EM) log likelihood = -28743.155
Iteration 79: (EM) log likelihood = -28739.389
Iteration 80: (EM) log likelihood = -28735.883
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7875.124
Iteration 1: (class) log likelihood = -7875.124
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29964.848
Iteration 1: (outcome) log likelihood = -29276.262
Iteration 2: (outcome) log likelihood = -29118.68
Iteration 3: (outcome) log likelihood = -29090.591
Iteration 4: (outcome) log likelihood = -29083.571
Iteration 5: (outcome) log likelihood = -29082.248
Iteration 6: (outcome) log likelihood = -29082.024
Iteration 7: (outcome) log likelihood = -29081.972
Iteration 8: (outcome) log likelihood = -29081.96
Iteration 9: (outcome) log likelihood = -29081.957
Iteration 10: (outcome) log likelihood = -29081.957
Iteration 11: (outcome) log likelihood = -29081.957
Iteration 12: (outcome) log likelihood = -29081.957
Refining starting values:
Iteration 0: (EM) log likelihood = -36926.328
Iteration 1: (EM) log likelihood = -36787.721
Iteration 2: (EM) log likelihood = -36335.841
Iteration 3: (EM) log likelihood = -35370.771
Iteration 4: (EM) log likelihood = -34331.149
Iteration 5: (EM) log likelihood = -33628.625
Iteration 6: (EM) log likelihood = -33108.281
Iteration 7: (EM) log likelihood = -32633.54
Iteration 8: (EM) log likelihood = -32178.468
Iteration 9: (EM) log likelihood = -31775.591
Iteration 10: (EM) log likelihood = -31450.278
Iteration 11: (EM) log likelihood = -31201.013
Iteration 12: (EM) log likelihood = -31004.461
Iteration 13: (EM) log likelihood = -30833.245
Iteration 14: (EM) log likelihood = -30671.921
Iteration 15: (EM) log likelihood = -30507.388
Iteration 16: (EM) log likelihood = -30346.376
Iteration 17: (EM) log likelihood = -30193.689
Iteration 18: (EM) log likelihood = -30058.306
Iteration 19: (EM) log likelihood = -29941.434
Iteration 20: (EM) log likelihood = -29846.575
Iteration 21: (EM) log likelihood = -29768.235
Iteration 22: (EM) log likelihood = -29699.368
Iteration 23: (EM) log likelihood = -29646.018
Iteration 24: (EM) log likelihood = -29602.75
Iteration 25: (EM) log likelihood = -29569.178
Iteration 26: (EM) log likelihood = -29539.102
Iteration 27: (EM) log likelihood = -29515.394
Iteration 28: (EM) log likelihood = -29493.818
Iteration 29: (EM) log likelihood = -29475.158
Iteration 30: (EM) log likelihood = -29459.974
Iteration 31: (EM) log likelihood = -29443.874
Iteration 32: (EM) log likelihood = -29428.22
Iteration 33: (EM) log likelihood = -29415.685
Iteration 34: (EM) log likelihood = -29402.7
Iteration 35: (EM) log likelihood = -29390.847
Iteration 36: (EM) log likelihood = -29379.495
Iteration 37: (EM) log likelihood = -29368.469
Iteration 38: (EM) log likelihood = -29358.016
Iteration 39: (EM) log likelihood = -29347.61
Iteration 40: (EM) log likelihood = -29336.611
Iteration 41: (EM) log likelihood = -29323.55
Iteration 42: (EM) log likelihood = -29313.333
Iteration 43: (EM) log likelihood = -29303.801
Iteration 44: (EM) log likelihood = -29293.474
Iteration 45: (EM) log likelihood = -29282.411
Iteration 46: (EM) log likelihood = -29272.392
Iteration 47: (EM) log likelihood = -29261.955
Iteration 48: (EM) log likelihood = -29254.381
Iteration 49: (EM) log likelihood = -29242.377
Iteration 50: (EM) log likelihood = -29231.808
Iteration 51: (EM) log likelihood = -29222.048
Iteration 52: (EM) log likelihood = -29212.86
Iteration 53: (EM) log likelihood = -29203.882
Iteration 54: (EM) log likelihood = -29194.193
Iteration 55: (EM) log likelihood = -29185.581
Iteration 56: (EM) log likelihood = -29175.439
Iteration 57: (EM) log likelihood = -29166.495
Iteration 58: (EM) log likelihood = -29159.908
Iteration 59: (EM) log likelihood = -29151.143
Iteration 60: (EM) log likelihood = -29143.438
Iteration 61: (EM) log likelihood = -29134.492
Iteration 62: (EM) log likelihood = -29128.216
Iteration 63: (EM) log likelihood = -29121.86
Iteration 64: (EM) log likelihood = -29115.019
Iteration 65: (EM) log likelihood = -29107.719
Iteration 66: (EM) log likelihood = -29099.633
Iteration 67: (EM) log likelihood = -29094.649
Iteration 68: (EM) log likelihood = -29087.964
Iteration 69: (EM) log likelihood = -29081.573
Iteration 70: (EM) log likelihood = -29074.444
Iteration 71: (EM) log likelihood = -29067.88
Iteration 72: (EM) log likelihood = -29060.46
Iteration 73: (EM) log likelihood = -29053.741
Iteration 74: (EM) log likelihood = -29047.178
Iteration 75: (EM) log likelihood = -29041.024
Iteration 76: (EM) log likelihood = -29034.59
Iteration 77: (EM) log likelihood = -29028.782
Iteration 78: (EM) log likelihood = -29022.86
Iteration 79: (EM) log likelihood = -29017.442
Iteration 80: (EM) log likelihood = -29012.081
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7875.253
Iteration 1: (class) log likelihood = -7875.253 (backed up)
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29963.581
Iteration 1: (outcome) log likelihood = -29311.046
Iteration 2: (outcome) log likelihood = -29132.649
Iteration 3: (outcome) log likelihood = -29103.869
Iteration 4: (outcome) log likelihood = -29098.997
Iteration 5: (outcome) log likelihood = -29097.878
Iteration 6: (outcome) log likelihood = -29097.602
Iteration 7: (outcome) log likelihood = -29097.547
Iteration 8: (outcome) log likelihood = -29097.535
Iteration 9: (outcome) log likelihood = -29097.532
Iteration 10: (outcome) log likelihood = -29097.531
Iteration 11: (outcome) log likelihood = -29097.531
Iteration 12: (outcome) log likelihood = -29097.531
Refining starting values:
Iteration 0: (EM) log likelihood = -36937.63
Iteration 1: (EM) log likelihood = -36801.042
Iteration 2: (EM) log likelihood = -36333.706
Iteration 3: (EM) log likelihood = -35298.366
Iteration 4: (EM) log likelihood = -34200.947
Iteration 5: (EM) log likelihood = -33423.758
Iteration 6: (EM) log likelihood = -32812.438
Iteration 7: (EM) log likelihood = -32298.096
Iteration 8: (EM) log likelihood = -31885.657
Iteration 9: (EM) log likelihood = -31557.673
Iteration 10: (EM) log likelihood = -31294.19
Iteration 11: (EM) log likelihood = -31066.692
Iteration 12: (EM) log likelihood = -30864.756
Iteration 13: (EM) log likelihood = -30678.953
Iteration 14: (EM) log likelihood = -30505.891
Iteration 15: (EM) log likelihood = -30347.746
Iteration 16: (EM) log likelihood = -30208.913
Iteration 17: (EM) log likelihood = -30090.318
Iteration 18: (EM) log likelihood = -29987.696
Iteration 19: (EM) log likelihood = -29899.893
Iteration 20: (EM) log likelihood = -29820.087
Iteration 21: (EM) log likelihood = -29747.19
Iteration 22: (EM) log likelihood = -29677.272
Iteration 23: (EM) log likelihood = -29610.069
Iteration 24: (EM) log likelihood = -29545.704
Iteration 25: (EM) log likelihood = -29481.885
Iteration 26: (EM) log likelihood = -29420.725
Iteration 27: (EM) log likelihood = -29358.971
Iteration 28: (EM) log likelihood = -29301.27
Iteration 29: (EM) log likelihood = -29245.515
Iteration 30: (EM) log likelihood = -29194.537
Iteration 31: (EM) log likelihood = -29145.795
Iteration 32: (EM) log likelihood = -29099.842
Iteration 33: (EM) log likelihood = -29057.863
Iteration 34: (EM) log likelihood = -29018.194
Iteration 35: (EM) log likelihood = -28981.335
Iteration 36: (EM) log likelihood = -28947.811
Iteration 37: (EM) log likelihood = -28917.06
Iteration 38: (EM) log likelihood = -28888.648
Iteration 39: (EM) log likelihood = -28863.097
Iteration 40: (EM) log likelihood = -28840.157
Iteration 41: (EM) log likelihood = -28817.478
Iteration 42: (EM) log likelihood = -28795.74
Iteration 43: (EM) log likelihood = -28776.544
Iteration 44: (EM) log likelihood = -28758.44
Iteration 45: (EM) log likelihood = -28741.346
Iteration 46: (EM) log likelihood = -28724.591
Iteration 47: (EM) log likelihood = -28708.036
Iteration 48: (EM) log likelihood = -28693.382
Iteration 49: (EM) log likelihood = -28678.607
Iteration 50: (EM) log likelihood = -28664.022
Iteration 51: (EM) log likelihood = -28648.881
Iteration 52: (EM) log likelihood = -28635.403
Iteration 53: (EM) log likelihood = -28621.558
Iteration 54: (EM) log likelihood = -28608.121
Iteration 55: (EM) log likelihood = -28593.179
Iteration 56: (EM) log likelihood = -28578.331
Iteration 57: (EM) log likelihood = -28562.784
Iteration 58: (EM) log likelihood = -28547.601
Iteration 59: (EM) log likelihood = -28533.298
Iteration 60: (EM) log likelihood = -28518.401
Iteration 61: (EM) log likelihood = -28505.09
Iteration 62: (EM) log likelihood = -28492.784
Iteration 63: (EM) log likelihood = -28480.665
Iteration 64: (EM) log likelihood = -28471.545
Iteration 65: (EM) log likelihood = -28461.413
Iteration 66: (EM) log likelihood = -28451.211
Iteration 67: (EM) log likelihood = -28441.117
Iteration 68: (EM) log likelihood = -28433.903
Iteration 69: (EM) log likelihood = -28426.017
Iteration 70: (EM) log likelihood = -28410.481
Iteration 71: (EM) log likelihood = -28402.836
Iteration 72: (EM) log likelihood = -28389.134
Iteration 73: (EM) log likelihood = -28383.149
Iteration 74: (EM) log likelihood = -28377.952
Iteration 75: (EM) log likelihood = -28373.167
Iteration 76: (EM) log likelihood = -28367.378
Iteration 77: (EM) log likelihood = -28361.12
Iteration 78: (EM) log likelihood = -28355.998
Iteration 79: (EM) log likelihood = -28350.918
Iteration 80: (EM) log likelihood = -28345.15
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7876.18
Iteration 1: (class) log likelihood = -7876.18
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30730.2
Iteration 1: (outcome) log likelihood = -29406.74
Iteration 2: (outcome) log likelihood = -29157.19
Iteration 3: (outcome) log likelihood = -29106.688
Iteration 4: (outcome) log likelihood = -29094.621
Iteration 5: (outcome) log likelihood = -29092.07
Iteration 6: (outcome) log likelihood = -29091.539
Iteration 7: (outcome) log likelihood = -29091.419
Iteration 8: (outcome) log likelihood = -29091.389
Iteration 9: (outcome) log likelihood = -29091.383
Iteration 10: (outcome) log likelihood = -29091.382
Iteration 11: (outcome) log likelihood = -29091.382
Iteration 12: (outcome) log likelihood = -29091.382
Iteration 13: (outcome) log likelihood = -29091.382
Refining starting values:
Iteration 0: (EM) log likelihood = -36935.169
Iteration 1: (EM) log likelihood = -36793.618
Iteration 2: (EM) log likelihood = -36306.785
Iteration 3: (EM) log likelihood = -35225.188
Iteration 4: (EM) log likelihood = -34061.151
Iteration 5: (EM) log likelihood = -33248.981
Iteration 6: (EM) log likelihood = -32662.403
Iteration 7: (EM) log likelihood = -32176.89
Iteration 8: (EM) log likelihood = -31785.544
Iteration 9: (EM) log likelihood = -31459.624
Iteration 10: (EM) log likelihood = -31176.512
Iteration 11: (EM) log likelihood = -30920.269
Iteration 12: (EM) log likelihood = -30679.868
Iteration 13: (EM) log likelihood = -30452.948
Iteration 14: (EM) log likelihood = -30249.801
Iteration 15: (EM) log likelihood = -30074.796
Iteration 16: (EM) log likelihood = -29936.267
Iteration 17: (EM) log likelihood = -29829.661
Iteration 18: (EM) log likelihood = -29747.351
Iteration 19: (EM) log likelihood = -29681.512
Iteration 20: (EM) log likelihood = -29628.467
Iteration 21: (EM) log likelihood = -29580.787
Iteration 22: (EM) log likelihood = -29535.962
Iteration 23: (EM) log likelihood = -29495.977
Iteration 24: (EM) log likelihood = -29459.161
Iteration 25: (EM) log likelihood = -29422.506
Iteration 26: (EM) log likelihood = -29387.014
Iteration 27: (EM) log likelihood = -29351.68
Iteration 28: (EM) log likelihood = -29318.317
Iteration 29: (EM) log likelihood = -29286.114
Iteration 30: (EM) log likelihood = -29254.571
Iteration 31: (EM) log likelihood = -29225.714
Iteration 32: (EM) log likelihood = -29197.877
Iteration 33: (EM) log likelihood = -29172.322
Iteration 34: (EM) log likelihood = -29146.288
Iteration 35: (EM) log likelihood = -29121.634
Iteration 36: (EM) log likelihood = -29100.134
Iteration 37: (EM) log likelihood = -29076.889
Iteration 38: (EM) log likelihood = -29053.778
Iteration 39: (EM) log likelihood = -29034.003
Iteration 40: (EM) log likelihood = -29017.322
Iteration 41: (EM) log likelihood = -29002.294
Iteration 42: (EM) log likelihood = -28986.909
Iteration 43: (EM) log likelihood = -28971.909
Iteration 44: (EM) log likelihood = -28960.255
Iteration 45: (EM) log likelihood = -28948.418
Iteration 46: (EM) log likelihood = -28937.483
Iteration 47: (EM) log likelihood = -28926.384
Iteration 48: (EM) log likelihood = -28916.196
Iteration 49: (EM) log likelihood = -28906.443
Iteration 50: (EM) log likelihood = -28895.187
Iteration 51: (EM) log likelihood = -28886.348
Iteration 52: (EM) log likelihood = -28878.769
Iteration 53: (EM) log likelihood = -28870.862
Iteration 54: (EM) log likelihood = -28862.476
Iteration 55: (EM) log likelihood = -28855.063
Iteration 56: (EM) log likelihood = -28842.62
Iteration 57: (EM) log likelihood = -28836.075
Iteration 58: (EM) log likelihood = -28830.668
Iteration 59: (EM) log likelihood = -28822.866
Iteration 60: (EM) log likelihood = -28815.64
Iteration 61: (EM) log likelihood = -28808.775
Iteration 62: (EM) log likelihood = -28803.34
Iteration 63: (EM) log likelihood = -28798.549
Iteration 64: (EM) log likelihood = -28795.689
Iteration 65: (EM) log likelihood = -28789.803
Iteration 66: (EM) log likelihood = -28784.022
Iteration 67: (EM) log likelihood = -28782.628
Iteration 68: (EM) log likelihood = -28778.603
Iteration 69: (EM) log likelihood = -28774.651
Iteration 70: (EM) log likelihood = -28770.887
Iteration 71: (EM) log likelihood = -28766.917
Iteration 72: (EM) log likelihood = -28764.785
Iteration 73: (EM) log likelihood = -28761.282
Iteration 74: (EM) log likelihood = -28757.969
Iteration 75: (EM) log likelihood = -28755.373
Iteration 76: (EM) log likelihood = -28751.943
Iteration 77: (EM) log likelihood = -28749.75
Iteration 78: (EM) log likelihood = -28746.632
Iteration 79: (EM) log likelihood = -28742.912
Iteration 80: (EM) log likelihood = -28740.582
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7876.833
Iteration 1: (class) log likelihood = -7876.833
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29531.857
Iteration 1: (outcome) log likelihood = -29185.429
Iteration 2: (outcome) log likelihood = -29103.62
Iteration 3: (outcome) log likelihood = -29091.6
Iteration 4: (outcome) log likelihood = -29089.1
Iteration 5: (outcome) log likelihood = -29088.525
Iteration 6: (outcome) log likelihood = -29088.425
Iteration 7: (outcome) log likelihood = -29088.415
Iteration 8: (outcome) log likelihood = -29088.412
Iteration 9: (outcome) log likelihood = -29088.412
Iteration 10: (outcome) log likelihood = -29088.412
Iteration 11: (outcome) log likelihood = -29088.412
Refining starting values:
Iteration 0: (EM) log likelihood = -36918.096
Iteration 1: (EM) log likelihood = -36728.844
Iteration 2: (EM) log likelihood = -36095.392
Iteration 3: (EM) log likelihood = -34887.98
Iteration 4: (EM) log likelihood = -33753.034
Iteration 5: (EM) log likelihood = -32927.075
Iteration 6: (EM) log likelihood = -32306.155
Iteration 7: (EM) log likelihood = -31815.961
Iteration 8: (EM) log likelihood = -31421.956
Iteration 9: (EM) log likelihood = -31104.457
Iteration 10: (EM) log likelihood = -30856.184
Iteration 11: (EM) log likelihood = -30659.447
Iteration 12: (EM) log likelihood = -30505.047
Iteration 13: (EM) log likelihood = -30377.617
Iteration 14: (EM) log likelihood = -30267.873
Iteration 15: (EM) log likelihood = -30169.665
Iteration 16: (EM) log likelihood = -30078.615
Iteration 17: (EM) log likelihood = -29994.458
Iteration 18: (EM) log likelihood = -29916.229
Iteration 19: (EM) log likelihood = -29842.484
Iteration 20: (EM) log likelihood = -29771.044
Iteration 21: (EM) log likelihood = -29702.943
Iteration 22: (EM) log likelihood = -29640.736
Iteration 23: (EM) log likelihood = -29584.68
Iteration 24: (EM) log likelihood = -29536.026
Iteration 25: (EM) log likelihood = -29495.744
Iteration 26: (EM) log likelihood = -29463.333
Iteration 27: (EM) log likelihood = -29436.651
Iteration 28: (EM) log likelihood = -29415.716
Iteration 29: (EM) log likelihood = -29398.318
Iteration 30: (EM) log likelihood = -29384.504
Iteration 31: (EM) log likelihood = -29372.098
Iteration 32: (EM) log likelihood = -29361.105
Iteration 33: (EM) log likelihood = -29351.241
Iteration 34: (EM) log likelihood = -29341.699
Iteration 35: (EM) log likelihood = -29333.227
Iteration 36: (EM) log likelihood = -29324.054
Iteration 37: (EM) log likelihood = -29315.182
Iteration 38: (EM) log likelihood = -29306.504
Iteration 39: (EM) log likelihood = -29298.316
Iteration 40: (EM) log likelihood = -29290.165
Iteration 41: (EM) log likelihood = -29282.092
Iteration 42: (EM) log likelihood = -29274.323
Iteration 43: (EM) log likelihood = -29266.736
Iteration 44: (EM) log likelihood = -29259.314
Iteration 45: (EM) log likelihood = -29252.213
Iteration 46: (EM) log likelihood = -29244.498
Iteration 47: (EM) log likelihood = -29238.005
Iteration 48: (EM) log likelihood = -29231.979
Iteration 49: (EM) log likelihood = -29225.91
Iteration 50: (EM) log likelihood = -29219.472
Iteration 51: (EM) log likelihood = -29213.222
Iteration 52: (EM) log likelihood = -29207.76
Iteration 53: (EM) log likelihood = -29201.831
Iteration 54: (EM) log likelihood = -29195.965
Iteration 55: (EM) log likelihood = -29190.397
Iteration 56: (EM) log likelihood = -29184.608
Iteration 57: (EM) log likelihood = -29179.37
Iteration 58: (EM) log likelihood = -29172.728
Iteration 59: (EM) log likelihood = -29166.574
Iteration 60: (EM) log likelihood = -29161.284
Iteration 61: (EM) log likelihood = -29155.837
Iteration 62: (EM) log likelihood = -29151.488
Iteration 63: (EM) log likelihood = -29146.517
Iteration 64: (EM) log likelihood = -29141.74
Iteration 65: (EM) log likelihood = -29136.994
Iteration 66: (EM) log likelihood = -29132.695
Iteration 67: (EM) log likelihood = -29128.959
Iteration 68: (EM) log likelihood = -29124.782
Iteration 69: (EM) log likelihood = -29120.592
Iteration 70: (EM) log likelihood = -29117.863
Iteration 71: (EM) log likelihood = -29114.657
Iteration 72: (EM) log likelihood = -29111.604
Iteration 73: (EM) log likelihood = -29106.925
Iteration 74: (EM) log likelihood = -29104.476
Iteration 75: (EM) log likelihood = -29101.677
Iteration 76: (EM) log likelihood = -29099.017
Iteration 77: (EM) log likelihood = -29096.494
Iteration 78: (EM) log likelihood = -29093.089
Iteration 79: (EM) log likelihood = -29091.247
Iteration 80: (EM) log likelihood = -29089.055
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7873.7054
Iteration 1: (class) log likelihood = -7873.7054
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29856.571
Iteration 1: (outcome) log likelihood = -29219.586
Iteration 2: (outcome) log likelihood = -29113.074
Iteration 3: (outcome) log likelihood = -29089.879
Iteration 4: (outcome) log likelihood = -29085.32
Iteration 5: (outcome) log likelihood = -29084.337
Iteration 6: (outcome) log likelihood = -29084.113
Iteration 7: (outcome) log likelihood = -29084.058
Iteration 8: (outcome) log likelihood = -29084.047
Iteration 9: (outcome) log likelihood = -29084.045
Iteration 10: (outcome) log likelihood = -29084.045
Iteration 11: (outcome) log likelihood = -29084.045
Iteration 12: (outcome) log likelihood = -29084.045
Refining starting values:
Iteration 0: (EM) log likelihood = -36929.01
Iteration 1: (EM) log likelihood = -36815.339
Iteration 2: (EM) log likelihood = -36490.095
Iteration 3: (EM) log likelihood = -35797.615
Iteration 4: (EM) log likelihood = -34755.189
Iteration 5: (EM) log likelihood = -33703.02
Iteration 6: (EM) log likelihood = -32912.5
Iteration 7: (EM) log likelihood = -32322.998
Iteration 8: (EM) log likelihood = -31835.129
Iteration 9: (EM) log likelihood = -31436.579
Iteration 10: (EM) log likelihood = -31123.85
Iteration 11: (EM) log likelihood = -30888.404
Iteration 12: (EM) log likelihood = -30692.108
Iteration 13: (EM) log likelihood = -30524.439
Iteration 14: (EM) log likelihood = -30383.811
Iteration 15: (EM) log likelihood = -30256.263
Iteration 16: (EM) log likelihood = -30139.873
Iteration 17: (EM) log likelihood = -30027.338
Iteration 18: (EM) log likelihood = -29918.093
Iteration 19: (EM) log likelihood = -29814.571
Iteration 20: (EM) log likelihood = -29720.7
Iteration 21: (EM) log likelihood = -29635.773
Iteration 22: (EM) log likelihood = -29562.858
Iteration 23: (EM) log likelihood = -29501.092
Iteration 24: (EM) log likelihood = -29447.463
Iteration 25: (EM) log likelihood = -29398.86
Iteration 26: (EM) log likelihood = -29355.735
Iteration 27: (EM) log likelihood = -29316.625
Iteration 28: (EM) log likelihood = -29282.266
Iteration 29: (EM) log likelihood = -29253.461
Iteration 30: (EM) log likelihood = -29231.439
Iteration 31: (EM) log likelihood = -29212.815
Iteration 32: (EM) log likelihood = -29197.355
Iteration 33: (EM) log likelihood = -29184.311
Iteration 34: (EM) log likelihood = -29174.412
Iteration 35: (EM) log likelihood = -29164.871
Iteration 36: (EM) log likelihood = -29156.314
Iteration 37: (EM) log likelihood = -29149.39
Iteration 38: (EM) log likelihood = -29142.937
Iteration 39: (EM) log likelihood = -29134.992
Iteration 40: (EM) log likelihood = -29127.778
Iteration 41: (EM) log likelihood = -29119.749
Iteration 42: (EM) log likelihood = -29112.304
Iteration 43: (EM) log likelihood = -29104.459
Iteration 44: (EM) log likelihood = -29097.361
Iteration 45: (EM) log likelihood = -29089.13
Iteration 46: (EM) log likelihood = -29081.701
Iteration 47: (EM) log likelihood = -29073.464
Iteration 48: (EM) log likelihood = -29064.891
Iteration 49: (EM) log likelihood = -29059.216
Iteration 50: (EM) log likelihood = -29052.52
Iteration 51: (EM) log likelihood = -29045.518
Iteration 52: (EM) log likelihood = -29039.433
Iteration 53: (EM) log likelihood = -29034.109
Iteration 54: (EM) log likelihood = -29028.695
Iteration 55: (EM) log likelihood = -29022.897
Iteration 56: (EM) log likelihood = -29017.899
Iteration 57: (EM) log likelihood = -29013.631
Iteration 58: (EM) log likelihood = -29009.14
Iteration 59: (EM) log likelihood = -29004.622
Iteration 60: (EM) log likelihood = -28999.642
Iteration 61: (EM) log likelihood = -28995.633
Iteration 62: (EM) log likelihood = -28991.534
Iteration 63: (EM) log likelihood = -28987.666
Iteration 64: (EM) log likelihood = -28983.28
Iteration 65: (EM) log likelihood = -28980.174
Iteration 66: (EM) log likelihood = -28976.594
Iteration 67: (EM) log likelihood = -28972.525
Iteration 68: (EM) log likelihood = -28968.633
Iteration 69: (EM) log likelihood = -28964.935
Iteration 70: (EM) log likelihood = -28961.338
Iteration 71: (EM) log likelihood = -28958.086
Iteration 72: (EM) log likelihood = -28954.682
Iteration 73: (EM) log likelihood = -28951.565
Iteration 74: (EM) log likelihood = -28948.562
Iteration 75: (EM) log likelihood = -28945.387
Iteration 76: (EM) log likelihood = -28942.512
Iteration 77: (EM) log likelihood = -28939.422
Iteration 78: (EM) log likelihood = -28936.274
Iteration 79: (EM) log likelihood = -28933.23
Iteration 80: (EM) log likelihood = -28930.523
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7874.4071
Iteration 1: (class) log likelihood = -7874.4071
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30388.893
Iteration 1: (outcome) log likelihood = -29378.025
Iteration 2: (outcome) log likelihood = -29134.166
Iteration 3: (outcome) log likelihood = -29092.51
Iteration 4: (outcome) log likelihood = -29084.755
Iteration 5: (outcome) log likelihood = -29083.009
Iteration 6: (outcome) log likelihood = -29082.609
Iteration 7: (outcome) log likelihood = -29082.514
Iteration 8: (outcome) log likelihood = -29082.494
Iteration 9: (outcome) log likelihood = -29082.491
Iteration 10: (outcome) log likelihood = -29082.491
Iteration 11: (outcome) log likelihood = -29082.491
Iteration 12: (outcome) log likelihood = -29082.49
Refining starting values:
Iteration 0: (EM) log likelihood = -36941.173
Iteration 1: (EM) log likelihood = -36861.648
Iteration 2: (EM) log likelihood = -36602.459
Iteration 3: (EM) log likelihood = -35939.899
Iteration 4: (EM) log likelihood = -34862.886
Iteration 5: (EM) log likelihood = -33786.716
Iteration 6: (EM) log likelihood = -32964.959
Iteration 7: (EM) log likelihood = -32375.255
Iteration 8: (EM) log likelihood = -31925.257
Iteration 9: (EM) log likelihood = -31542.85
Iteration 10: (EM) log likelihood = -31203.57
Iteration 11: (EM) log likelihood = -30898.228
Iteration 12: (EM) log likelihood = -30626.373
Iteration 13: (EM) log likelihood = -30391.498
Iteration 14: (EM) log likelihood = -30191.352
Iteration 15: (EM) log likelihood = -30013.286
Iteration 16: (EM) log likelihood = -29856.421
Iteration 17: (EM) log likelihood = -29723.471
Iteration 18: (EM) log likelihood = -29614.055
Iteration 19: (EM) log likelihood = -29525.349
Iteration 20: (EM) log likelihood = -29455.129
Iteration 21: (EM) log likelihood = -29399.274
Iteration 22: (EM) log likelihood = -29353.567
Iteration 23: (EM) log likelihood = -29315.1
Iteration 24: (EM) log likelihood = -29281.453
Iteration 25: (EM) log likelihood = -29253.123
Iteration 26: (EM) log likelihood = -29229.259
Iteration 27: (EM) log likelihood = -29207.918
Iteration 28: (EM) log likelihood = -29189.95
Iteration 29: (EM) log likelihood = -29173.946
Iteration 30: (EM) log likelihood = -29159.015
Iteration 31: (EM) log likelihood = -29146.088
Iteration 32: (EM) log likelihood = -29134.067
Iteration 33: (EM) log likelihood = -29122.393
Iteration 34: (EM) log likelihood = -29111.107
Iteration 35: (EM) log likelihood = -29100.076
Iteration 36: (EM) log likelihood = -29090.361
Iteration 37: (EM) log likelihood = -29081.463
Iteration 38: (EM) log likelihood = -29072.275
Iteration 39: (EM) log likelihood = -29062.957
Iteration 40: (EM) log likelihood = -29054.762
Iteration 41: (EM) log likelihood = -29046.141
Iteration 42: (EM) log likelihood = -29038.055
Iteration 43: (EM) log likelihood = -29030.596
Iteration 44: (EM) log likelihood = -29022.789
Iteration 45: (EM) log likelihood = -29015.657
Iteration 46: (EM) log likelihood = -29008.799
Iteration 47: (EM) log likelihood = -29001.946
Iteration 48: (EM) log likelihood = -28996.04
Iteration 49: (EM) log likelihood = -28987.581
Iteration 50: (EM) log likelihood = -28980.342
Iteration 51: (EM) log likelihood = -28972.592
Iteration 52: (EM) log likelihood = -28964.771
Iteration 53: (EM) log likelihood = -28957.144
Iteration 54: (EM) log likelihood = -28949.209
Iteration 55: (EM) log likelihood = -28941.433
Iteration 56: (EM) log likelihood = -28933.083
Iteration 57: (EM) log likelihood = -28924.846
Iteration 58: (EM) log likelihood = -28916.368
Iteration 59: (EM) log likelihood = -28908.324
Iteration 60: (EM) log likelihood = -28899.733
Iteration 61: (EM) log likelihood = -28890.408
Iteration 62: (EM) log likelihood = -28881.648
Iteration 63: (EM) log likelihood = -28872.365
Iteration 64: (EM) log likelihood = -28864.98
Iteration 65: (EM) log likelihood = -28856.255
Iteration 66: (EM) log likelihood = -28847.258
Iteration 67: (EM) log likelihood = -28838.547
Iteration 68: (EM) log likelihood = -28830.076
Iteration 69: (EM) log likelihood = -28821.98
Iteration 70: (EM) log likelihood = -28815.284
Iteration 71: (EM) log likelihood = -28808.59
Iteration 72: (EM) log likelihood = -28801.679
Iteration 73: (EM) log likelihood = -28794.663
Iteration 74: (EM) log likelihood = -28786.486
Iteration 75: (EM) log likelihood = -28778.229
Iteration 76: (EM) log likelihood = -28773.328
Iteration 77: (EM) log likelihood = -28768.126
Iteration 78: (EM) log likelihood = -28762.297
Iteration 79: (EM) log likelihood = -28756.918
Iteration 80: (EM) log likelihood = -28752.436
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7877.3297
Iteration 1: (class) log likelihood = -7877.3297
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29242.515
Iteration 1: (outcome) log likelihood = -29132.611
Iteration 2: (outcome) log likelihood = -29098.919
Iteration 3: (outcome) log likelihood = -29093.395
Iteration 4: (outcome) log likelihood = -29092.195
Iteration 5: (outcome) log likelihood = -29091.925
Iteration 6: (outcome) log likelihood = -29091.884
Iteration 7: (outcome) log likelihood = -29091.879
Iteration 8: (outcome) log likelihood = -29091.878
Iteration 9: (outcome) log likelihood = -29091.878
Iteration 10: (outcome) log likelihood = -29091.878
Iteration 11: (outcome) log likelihood = -29091.878
Refining starting values:
Iteration 0: (EM) log likelihood = -36933.232
Iteration 1: (EM) log likelihood = -36802.889
Iteration 2: (EM) log likelihood = -36456.141
Iteration 3: (EM) log likelihood = -35799.88
Iteration 4: (EM) log likelihood = -34920.859
Iteration 5: (EM) log likelihood = -34025.247
Iteration 6: (EM) log likelihood = -33259.892
Iteration 7: (EM) log likelihood = -32655.809
Iteration 8: (EM) log likelihood = -32186.378
Iteration 9: (EM) log likelihood = -31793.237
Iteration 10: (EM) log likelihood = -31426.934
Iteration 11: (EM) log likelihood = -31088.249
Iteration 12: (EM) log likelihood = -30801.009
Iteration 13: (EM) log likelihood = -30567.616
Iteration 14: (EM) log likelihood = -30375.366
Iteration 15: (EM) log likelihood = -30212.604
Iteration 16: (EM) log likelihood = -30073.917
Iteration 17: (EM) log likelihood = -29958.838
Iteration 18: (EM) log likelihood = -29861.562
Iteration 19: (EM) log likelihood = -29781.969
Iteration 20: (EM) log likelihood = -29715.258
Iteration 21: (EM) log likelihood = -29660.491
Iteration 22: (EM) log likelihood = -29612.604
Iteration 23: (EM) log likelihood = -29571.967
Iteration 24: (EM) log likelihood = -29533.713
Iteration 25: (EM) log likelihood = -29497.784
Iteration 26: (EM) log likelihood = -29461.982
Iteration 27: (EM) log likelihood = -29421.622
Iteration 28: (EM) log likelihood = -29378.58
Iteration 29: (EM) log likelihood = -29330.449
Iteration 30: (EM) log likelihood = -29281.744
Iteration 31: (EM) log likelihood = -29228.22
Iteration 32: (EM) log likelihood = -29173.179
Iteration 33: (EM) log likelihood = -29118.519
Iteration 34: (EM) log likelihood = -29063.629
Iteration 35: (EM) log likelihood = -29011.212
Iteration 36: (EM) log likelihood = -28961.928
Iteration 37: (EM) log likelihood = -28917.95
Iteration 38: (EM) log likelihood = -28874.216
Iteration 39: (EM) log likelihood = -28835.882
Iteration 40: (EM) log likelihood = -28800.664
Iteration 41: (EM) log likelihood = -28770.274
Iteration 42: (EM) log likelihood = -28741.172
Iteration 43: (EM) log likelihood = -28714.923
Iteration 44: (EM) log likelihood = -28693.113
Iteration 45: (EM) log likelihood = -28672.639
Iteration 46: (EM) log likelihood = -28656.607
Iteration 47: (EM) log likelihood = -28640.934
Iteration 48: (EM) log likelihood = -28629.259
Iteration 49: (EM) log likelihood = -28618.378
Iteration 50: (EM) log likelihood = -28608.052
Iteration 51: (EM) log likelihood = -28598.855
Iteration 52: (EM) log likelihood = -28589.536
Iteration 53: (EM) log likelihood = -28580.136
Iteration 54: (EM) log likelihood = -28576.163
Iteration 55: (EM) log likelihood = -28568.026
Iteration 56: (EM) log likelihood = -28561.668
Iteration 57: (EM) log likelihood = -28553.657
Iteration 58: (EM) log likelihood = -28544.332
Iteration 59: (EM) log likelihood = -28538.696
Iteration 60: (EM) log likelihood = -28530.976
Iteration 61: (EM) log likelihood = -28524.941
Iteration 62: (EM) log likelihood = -28518.076
Iteration 63: (EM) log likelihood = -28511.4
Iteration 64: (EM) log likelihood = -28505.358
Iteration 65: (EM) log likelihood = -28497.908
Iteration 66: (EM) log likelihood = -28489.587
Iteration 67: (EM) log likelihood = -28481.479
Iteration 68: (EM) log likelihood = -28476.312
Iteration 69: (EM) log likelihood = -28468.551
Iteration 70: (EM) log likelihood = -28461.542
Iteration 71: (EM) log likelihood = -28452.973
Iteration 72: (EM) log likelihood = -28445.013
Iteration 73: (EM) log likelihood = -28438.257
Iteration 74: (EM) log likelihood = -28431.343
Iteration 75: (EM) log likelihood = -28423.353
Iteration 76: (EM) log likelihood = -28416.593
Iteration 77: (EM) log likelihood = -28408.895
Iteration 78: (EM) log likelihood = -28399.946
Iteration 79: (EM) log likelihood = -28394.674
Iteration 80: (EM) log likelihood = -28382.787
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7875.2336
Iteration 1: (class) log likelihood = -7875.2336 (backed up)
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29688.267
Iteration 1: (outcome) log likelihood = -29186.81
Iteration 2: (outcome) log likelihood = -29113.648
Iteration 3: (outcome) log likelihood = -29097.126
Iteration 4: (outcome) log likelihood = -29093.445
Iteration 5: (outcome) log likelihood = -29092.543
Iteration 6: (outcome) log likelihood = -29092.364
Iteration 7: (outcome) log likelihood = -29092.333
Iteration 8: (outcome) log likelihood = -29092.33
Iteration 9: (outcome) log likelihood = -29092.329
Iteration 10: (outcome) log likelihood = -29092.329
Iteration 11: (outcome) log likelihood = -29092.329
Iteration 12: (outcome) log likelihood = -29092.329
Refining starting values:
Iteration 0: (EM) log likelihood = -36910.978
Iteration 1: (EM) log likelihood = -36693.107
Iteration 2: (EM) log likelihood = -36052.879
Iteration 3: (EM) log likelihood = -34929.727
Iteration 4: (EM) log likelihood = -33780.853
Iteration 5: (EM) log likelihood = -32861.831
Iteration 6: (EM) log likelihood = -32199.885
Iteration 7: (EM) log likelihood = -31718.184
Iteration 8: (EM) log likelihood = -31311.889
Iteration 9: (EM) log likelihood = -30938.958
Iteration 10: (EM) log likelihood = -30623.36
Iteration 11: (EM) log likelihood = -30361.464
Iteration 12: (EM) log likelihood = -30144.113
Iteration 13: (EM) log likelihood = -29964.128
Iteration 14: (EM) log likelihood = -29815.148
Iteration 15: (EM) log likelihood = -29691.704
Iteration 16: (EM) log likelihood = -29589.05
Iteration 17: (EM) log likelihood = -29500.35
Iteration 18: (EM) log likelihood = -29424.617
Iteration 19: (EM) log likelihood = -29356.84
Iteration 20: (EM) log likelihood = -29297.735
Iteration 21: (EM) log likelihood = -29246.341
Iteration 22: (EM) log likelihood = -29200.04
Iteration 23: (EM) log likelihood = -29160.02
Iteration 24: (EM) log likelihood = -29124.579
Iteration 25: (EM) log likelihood = -29091.141
Iteration 26: (EM) log likelihood = -29061.867
Iteration 27: (EM) log likelihood = -29035.611
Iteration 28: (EM) log likelihood = -29009.653
Iteration 29: (EM) log likelihood = -28985.944
Iteration 30: (EM) log likelihood = -28964.007
Iteration 31: (EM) log likelihood = -28943.131
Iteration 32: (EM) log likelihood = -28922.198
Iteration 33: (EM) log likelihood = -28903.606
Iteration 34: (EM) log likelihood = -28885.479
Iteration 35: (EM) log likelihood = -28867.115
Iteration 36: (EM) log likelihood = -28848.662
Iteration 37: (EM) log likelihood = -28831.914
Iteration 38: (EM) log likelihood = -28814.368
Iteration 39: (EM) log likelihood = -28797.909
Iteration 40: (EM) log likelihood = -28782.489
Iteration 41: (EM) log likelihood = -28769.805
Iteration 42: (EM) log likelihood = -28755.463
Iteration 43: (EM) log likelihood = -28745.516
Iteration 44: (EM) log likelihood = -28734.725
Iteration 45: (EM) log likelihood = -28723.51
Iteration 46: (EM) log likelihood = -28710.595
Iteration 47: (EM) log likelihood = -28699.196
Iteration 48: (EM) log likelihood = -28689.616
Iteration 49: (EM) log likelihood = -28680.524
Iteration 50: (EM) log likelihood = -28668.028
Iteration 51: (EM) log likelihood = -28660.341
Iteration 52: (EM) log likelihood = -28653.708
Iteration 53: (EM) log likelihood = -28646.296
Iteration 54: (EM) log likelihood = -28639.543
Iteration 55: (EM) log likelihood = -28632.835
Iteration 56: (EM) log likelihood = -28626.704
Iteration 57: (EM) log likelihood = -28619.839
Iteration 58: (EM) log likelihood = -28611.951
Iteration 59: (EM) log likelihood = -28611.205
Iteration 60: (EM) log likelihood = -28604.417
Iteration 61: (EM) log likelihood = -28599.535
Iteration 62: (EM) log likelihood = -28595.088
Iteration 63: (EM) log likelihood = -28590.794
Iteration 64: (EM) log likelihood = -28586.369
Iteration 65: (EM) log likelihood = -28581.837
Iteration 66: (EM) log likelihood = -28577.586
Iteration 67: (EM) log likelihood = -28572.2
Iteration 68: (EM) log likelihood = -28566.582
Iteration 69: (EM) log likelihood = -28562.607
Iteration 70: (EM) log likelihood = -28557.345
Iteration 71: (EM) log likelihood = -28550.985
Iteration 72: (EM) log likelihood = -28546.318
Iteration 73: (EM) log likelihood = -28544.289
Iteration 74: (EM) log likelihood = -28540.314
Iteration 75: (EM) log likelihood = -28535.581
Iteration 76: (EM) log likelihood = -28531.218
Iteration 77: (EM) log likelihood = -28528.891
Iteration 78: (EM) log likelihood = -28525.415
Iteration 79: (EM) log likelihood = -28521.231
Iteration 80: (EM) log likelihood = -28517.289
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7877.5688
Iteration 1: (class) log likelihood = -7877.5688 (backed up)
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29646.54
Iteration 1: (outcome) log likelihood = -29195.486
Iteration 2: (outcome) log likelihood = -29107.251
Iteration 3: (outcome) log likelihood = -29089.556
Iteration 4: (outcome) log likelihood = -29085.337
Iteration 5: (outcome) log likelihood = -29084.425
Iteration 6: (outcome) log likelihood = -29084.236
Iteration 7: (outcome) log likelihood = -29084.194
Iteration 8: (outcome) log likelihood = -29084.183
Iteration 9: (outcome) log likelihood = -29084.181
Iteration 10: (outcome) log likelihood = -29084.181
Iteration 11: (outcome) log likelihood = -29084.18
Iteration 12: (outcome) log likelihood = -29084.18
Refining starting values:
Iteration 0: (EM) log likelihood = -36933.79
Iteration 1: (EM) log likelihood = -36825.792
Iteration 2: (EM) log likelihood = -36514.625
Iteration 3: (EM) log likelihood = -35849.418
Iteration 4: (EM) log likelihood = -34921.071
Iteration 5: (EM) log likelihood = -33996.743
Iteration 6: (EM) log likelihood = -33168.678
Iteration 7: (EM) log likelihood = -32472.159
Iteration 8: (EM) log likelihood = -31954.372
Iteration 9: (EM) log likelihood = -31561.339
Iteration 10: (EM) log likelihood = -31228.087
Iteration 11: (EM) log likelihood = -30910.993
Iteration 12: (EM) log likelihood = -30609.216
Iteration 13: (EM) log likelihood = -30347.561
Iteration 14: (EM) log likelihood = -30136.701
Iteration 15: (EM) log likelihood = -29977.073
Iteration 16: (EM) log likelihood = -29853.059
Iteration 17: (EM) log likelihood = -29752.817
Iteration 18: (EM) log likelihood = -29669.019
Iteration 19: (EM) log likelihood = -29596.79
Iteration 20: (EM) log likelihood = -29532.834
Iteration 21: (EM) log likelihood = -29474.645
Iteration 22: (EM) log likelihood = -29421.209
Iteration 23: (EM) log likelihood = -29373.6
Iteration 24: (EM) log likelihood = -29331.261
Iteration 25: (EM) log likelihood = -29290.338
Iteration 26: (EM) log likelihood = -29253.93
Iteration 27: (EM) log likelihood = -29220.098
Iteration 28: (EM) log likelihood = -29190.79
Iteration 29: (EM) log likelihood = -29163.689
Iteration 30: (EM) log likelihood = -29135.827
Iteration 31: (EM) log likelihood = -29113.887
Iteration 32: (EM) log likelihood = -29089.332
Iteration 33: (EM) log likelihood = -29068.096
Iteration 34: (EM) log likelihood = -29048.421
Iteration 35: (EM) log likelihood = -29030.913
Iteration 36: (EM) log likelihood = -29013.366
Iteration 37: (EM) log likelihood = -28997.679
Iteration 38: (EM) log likelihood = -28982.626
Iteration 39: (EM) log likelihood = -28968.43
Iteration 40: (EM) log likelihood = -28955.849
Iteration 41: (EM) log likelihood = -28942.33
Iteration 42: (EM) log likelihood = -28930.059
Iteration 43: (EM) log likelihood = -28918.284
Iteration 44: (EM) log likelihood = -28908.322
Iteration 45: (EM) log likelihood = -28896.795
Iteration 46: (EM) log likelihood = -28886.038
Iteration 47: (EM) log likelihood = -28876.549
Iteration 48: (EM) log likelihood = -28866.672
Iteration 49: (EM) log likelihood = -28858.82
Iteration 50: (EM) log likelihood = -28849.425
Iteration 51: (EM) log likelihood = -28841.882
Iteration 52: (EM) log likelihood = -28835.357
Iteration 53: (EM) log likelihood = -28828.105
Iteration 54: (EM) log likelihood = -28821.012
Iteration 55: (EM) log likelihood = -28813.514
Iteration 56: (EM) log likelihood = -28807.051
Iteration 57: (EM) log likelihood = -28802.597
Iteration 58: (EM) log likelihood = -28798.421
Iteration 59: (EM) log likelihood = -28794.354
Iteration 60: (EM) log likelihood = -28789.876
Iteration 61: (EM) log likelihood = -28782.696
Iteration 62: (EM) log likelihood = -28777.681
Iteration 63: (EM) log likelihood = -28770.826
Iteration 64: (EM) log likelihood = -28766.405
Iteration 65: (EM) log likelihood = -28763.592
Iteration 66: (EM) log likelihood = -28756.655
Iteration 67: (EM) log likelihood = -28751.812
Iteration 68: (EM) log likelihood = -28746.306
Iteration 69: (EM) log likelihood = -28740.338
Iteration 70: (EM) log likelihood = -28733.864
Iteration 71: (EM) log likelihood = -28727.549
Iteration 72: (EM) log likelihood = -28721.181
Iteration 73: (EM) log likelihood = -28715.985
Iteration 74: (EM) log likelihood = -28709.425
Iteration 75: (EM) log likelihood = -28703.293
Iteration 76: (EM) log likelihood = -28697.334
Iteration 77: (EM) log likelihood = -28690.236
Iteration 78: (EM) log likelihood = -28683.038
Iteration 79: (EM) log likelihood = -28675.79
Iteration 80: (EM) log likelihood = -28668.476
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7878.7809
Iteration 1: (class) log likelihood = -7878.7809
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29931.535
Iteration 1: (outcome) log likelihood = -29257.711
Iteration 2: (outcome) log likelihood = -29110.193
Iteration 3: (outcome) log likelihood = -29086.449
Iteration 4: (outcome) log likelihood = -29082.066
Iteration 5: (outcome) log likelihood = -29081.072
Iteration 6: (outcome) log likelihood = -29080.845
Iteration 7: (outcome) log likelihood = -29080.792
Iteration 8: (outcome) log likelihood = -29080.781
Iteration 9: (outcome) log likelihood = -29080.779
Iteration 10: (outcome) log likelihood = -29080.779
Iteration 11: (outcome) log likelihood = -29080.779
Iteration 12: (outcome) log likelihood = -29080.779
Refining starting values:
Iteration 0: (EM) log likelihood = -36914.881
Iteration 1: (EM) log likelihood = -36745.277
Iteration 2: (EM) log likelihood = -36213.902
Iteration 3: (EM) log likelihood = -35076.865
Iteration 4: (EM) log likelihood = -33805.322
Iteration 5: (EM) log likelihood = -32909.364
Iteration 6: (EM) log likelihood = -32307.169
Iteration 7: (EM) log likelihood = -31890.977
Iteration 8: (EM) log likelihood = -31589.915
Iteration 9: (EM) log likelihood = -31336.564
Iteration 10: (EM) log likelihood = -31081.548
Iteration 11: (EM) log likelihood = -30808.623
Iteration 12: (EM) log likelihood = -30544.288
Iteration 13: (EM) log likelihood = -30322.161
Iteration 14: (EM) log likelihood = -30148.171
Iteration 15: (EM) log likelihood = -30018.288
Iteration 16: (EM) log likelihood = -29914.014
Iteration 17: (EM) log likelihood = -29830.618
Iteration 18: (EM) log likelihood = -29764.537
Iteration 19: (EM) log likelihood = -29707.907
Iteration 20: (EM) log likelihood = -29659.031
Iteration 21: (EM) log likelihood = -29613.456
Iteration 22: (EM) log likelihood = -29570.005
Iteration 23: (EM) log likelihood = -29531.443
Iteration 24: (EM) log likelihood = -29497.616
Iteration 25: (EM) log likelihood = -29467.374
Iteration 26: (EM) log likelihood = -29439.266
Iteration 27: (EM) log likelihood = -29413.085
Iteration 28: (EM) log likelihood = -29387.2
Iteration 29: (EM) log likelihood = -29361.224
Iteration 30: (EM) log likelihood = -29333.721
Iteration 31: (EM) log likelihood = -29305.905
Iteration 32: (EM) log likelihood = -29278.598
Iteration 33: (EM) log likelihood = -29249.197
Iteration 34: (EM) log likelihood = -29218.539
Iteration 35: (EM) log likelihood = -29185.174
Iteration 36: (EM) log likelihood = -29152.043
Iteration 37: (EM) log likelihood = -29118.054
Iteration 38: (EM) log likelihood = -29085.119
Iteration 39: (EM) log likelihood = -29051.31
Iteration 40: (EM) log likelihood = -29016.997
Iteration 41: (EM) log likelihood = -28982.18
Iteration 42: (EM) log likelihood = -28946.322
Iteration 43: (EM) log likelihood = -28910.752
Iteration 44: (EM) log likelihood = -28876.008
Iteration 45: (EM) log likelihood = -28843.018
Iteration 46: (EM) log likelihood = -28811.832
Iteration 47: (EM) log likelihood = -28783.634
Iteration 48: (EM) log likelihood = -28756.659
Iteration 49: (EM) log likelihood = -28732.399
Iteration 50: (EM) log likelihood = -28709.83
Iteration 51: (EM) log likelihood = -28689.462
Iteration 52: (EM) log likelihood = -28670.888
Iteration 53: (EM) log likelihood = -28655.202
Iteration 54: (EM) log likelihood = -28641.143
Iteration 55: (EM) log likelihood = -28626.586
Iteration 56: (EM) log likelihood = -28614.865
Iteration 57: (EM) log likelihood = -28604.224
Iteration 58: (EM) log likelihood = -28594.039
Iteration 59: (EM) log likelihood = -28585.847
Iteration 60: (EM) log likelihood = -28577.935
Iteration 61: (EM) log likelihood = -28571.126
Iteration 62: (EM) log likelihood = -28564.492
Iteration 63: (EM) log likelihood = -28558.078
Iteration 64: (EM) log likelihood = -28552.933
Iteration 65: (EM) log likelihood = -28547.904
Iteration 66: (EM) log likelihood = -28542.525
Iteration 67: (EM) log likelihood = -28538.202
Iteration 68: (EM) log likelihood = -28533.857
Iteration 69: (EM) log likelihood = -28529.779
Iteration 70: (EM) log likelihood = -28525.457
Iteration 71: (EM) log likelihood = -28522.204
Iteration 72: (EM) log likelihood = -28518.918
Iteration 73: (EM) log likelihood = -28515.333
Iteration 74: (EM) log likelihood = -28512.07
Iteration 75: (EM) log likelihood = -28508.928
Iteration 76: (EM) log likelihood = -28506.139
Iteration 77: (EM) log likelihood = -28504.25
Iteration 78: (EM) log likelihood = -28501.792
Iteration 79: (EM) log likelihood = -28498.406
Iteration 80: (EM) log likelihood = -28495.743
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7873.3214
Iteration 1: (class) log likelihood = -7873.3214
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30304.424
Iteration 1: (outcome) log likelihood = -29299.629
Iteration 2: (outcome) log likelihood = -29132.942
Iteration 3: (outcome) log likelihood = -29097.202
Iteration 4: (outcome) log likelihood = -29089.05
Iteration 5: (outcome) log likelihood = -29087.181
Iteration 6: (outcome) log likelihood = -29086.777
Iteration 7: (outcome) log likelihood = -29086.715
Iteration 8: (outcome) log likelihood = -29086.707
Iteration 9: (outcome) log likelihood = -29086.706
Iteration 10: (outcome) log likelihood = -29086.706
Iteration 11: (outcome) log likelihood = -29086.706
Iteration 12: (outcome) log likelihood = -29086.706
Refining starting values:
Iteration 0: (EM) log likelihood = -36913.814
Iteration 1: (EM) log likelihood = -36760.963
Iteration 2: (EM) log likelihood = -36367.965
Iteration 3: (EM) log likelihood = -35605.882
Iteration 4: (EM) log likelihood = -34595.978
Iteration 5: (EM) log likelihood = -33608.322
Iteration 6: (EM) log likelihood = -32732.561
Iteration 7: (EM) log likelihood = -31999.541
Iteration 8: (EM) log likelihood = -31422.835
Iteration 9: (EM) log likelihood = -30980.059
Iteration 10: (EM) log likelihood = -30656.617
Iteration 11: (EM) log likelihood = -30439.233
Iteration 12: (EM) log likelihood = -30292.363
Iteration 13: (EM) log likelihood = -30188.326
Iteration 14: (EM) log likelihood = -30108.959
Iteration 15: (EM) log likelihood = -30042.428
Iteration 16: (EM) log likelihood = -29982.565
Iteration 17: (EM) log likelihood = -29927.278
Iteration 18: (EM) log likelihood = -29877.216
Iteration 19: (EM) log likelihood = -29829.423
Iteration 20: (EM) log likelihood = -29788.836
Iteration 21: (EM) log likelihood = -29751.385
Iteration 22: (EM) log likelihood = -29720.133
Iteration 23: (EM) log likelihood = -29690.526
Iteration 24: (EM) log likelihood = -29664.196
Iteration 25: (EM) log likelihood = -29640.455
Iteration 26: (EM) log likelihood = -29620.916
Iteration 27: (EM) log likelihood = -29599.815
Iteration 28: (EM) log likelihood = -29583.203
Iteration 29: (EM) log likelihood = -29564.447
Iteration 30: (EM) log likelihood = -29548.221
Iteration 31: (EM) log likelihood = -29532.001
Iteration 32: (EM) log likelihood = -29514.895
Iteration 33: (EM) log likelihood = -29496.197
Iteration 34: (EM) log likelihood = -29477.694
Iteration 35: (EM) log likelihood = -29455.801
Iteration 36: (EM) log likelihood = -29435.941
Iteration 37: (EM) log likelihood = -29416.178
Iteration 38: (EM) log likelihood = -29394.486
Iteration 39: (EM) log likelihood = -29370.502
Iteration 40: (EM) log likelihood = -29347.907
Iteration 41: (EM) log likelihood = -29324.526
Iteration 42: (EM) log likelihood = -29301.415
Iteration 43: (EM) log likelihood = -29276.747
Iteration 44: (EM) log likelihood = -29252.656
Iteration 45: (EM) log likelihood = -29228.873
Iteration 46: (EM) log likelihood = -29207.029
Iteration 47: (EM) log likelihood = -29184.071
Iteration 48: (EM) log likelihood = -29159.582
Iteration 49: (EM) log likelihood = -29134.178
Iteration 50: (EM) log likelihood = -29114.502
Iteration 51: (EM) log likelihood = -29098.652
Iteration 52: (EM) log likelihood = -29083.163
Iteration 53: (EM) log likelihood = -29069.633
Iteration 54: (EM) log likelihood = -29058.098
Iteration 55: (EM) log likelihood = -29047.958
Iteration 56: (EM) log likelihood = -29039.455
Iteration 57: (EM) log likelihood = -29031.179
Iteration 58: (EM) log likelihood = -29024.406
Iteration 59: (EM) log likelihood = -29018.28
Iteration 60: (EM) log likelihood = -29012.13
Iteration 61: (EM) log likelihood = -29006.682
Iteration 62: (EM) log likelihood = -29000.677
Iteration 63: (EM) log likelihood = -28996.522
Iteration 64: (EM) log likelihood = -28992.106
Iteration 65: (EM) log likelihood = -28987.931
Iteration 66: (EM) log likelihood = -28984.109
Iteration 67: (EM) log likelihood = -28980.078
Iteration 68: (EM) log likelihood = -28973.515
Iteration 69: (EM) log likelihood = -28970.817
Iteration 70: (EM) log likelihood = -28968.582
Iteration 71: (EM) log likelihood = -28964.925
Iteration 72: (EM) log likelihood = -28961.36
Iteration 73: (EM) log likelihood = -28957.788
Iteration 74: (EM) log likelihood = -28954.124
Iteration 75: (EM) log likelihood = -28950.421
Iteration 76: (EM) log likelihood = -28943.305
Iteration 77: (EM) log likelihood = -28939.782
Iteration 78: (EM) log likelihood = -28935.868
Iteration 79: (EM) log likelihood = -28931.949
Iteration 80: (EM) log likelihood = -28927.546
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7876.6528
Iteration 1: (class) log likelihood = -7876.6528
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30295.199
Iteration 1: (outcome) log likelihood = -29293.176
Iteration 2: (outcome) log likelihood = -29115.111
Iteration 3: (outcome) log likelihood = -29082.808
Iteration 4: (outcome) log likelihood = -29075.717
Iteration 5: (outcome) log likelihood = -29074.209
Iteration 6: (outcome) log likelihood = -29073.957
Iteration 7: (outcome) log likelihood = -29073.898
Iteration 8: (outcome) log likelihood = -29073.884
Iteration 9: (outcome) log likelihood = -29073.881
Iteration 10: (outcome) log likelihood = -29073.881
Iteration 11: (outcome) log likelihood = -29073.881
Iteration 12: (outcome) log likelihood = -29073.881
Refining starting values:
Iteration 0: (EM) log likelihood = -36888.195
Iteration 1: (EM) log likelihood = -36657.74
Iteration 2: (EM) log likelihood = -35988.555
Iteration 3: (EM) log likelihood = -34840.556
Iteration 4: (EM) log likelihood = -33721.375
Iteration 5: (EM) log likelihood = -32855.531
Iteration 6: (EM) log likelihood = -32213.664
Iteration 7: (EM) log likelihood = -31747.329
Iteration 8: (EM) log likelihood = -31387.854
Iteration 9: (EM) log likelihood = -31092.528
Iteration 10: (EM) log likelihood = -30846.273
Iteration 11: (EM) log likelihood = -30642.156
Iteration 12: (EM) log likelihood = -30466.894
Iteration 13: (EM) log likelihood = -30313.745
Iteration 14: (EM) log likelihood = -30175.963
Iteration 15: (EM) log likelihood = -30052.5
Iteration 16: (EM) log likelihood = -29943.008
Iteration 17: (EM) log likelihood = -29842.192
Iteration 18: (EM) log likelihood = -29751.451
Iteration 19: (EM) log likelihood = -29669.145
Iteration 20: (EM) log likelihood = -29591.56
Iteration 21: (EM) log likelihood = -29519.846
Iteration 22: (EM) log likelihood = -29450.915
Iteration 23: (EM) log likelihood = -29382.793
Iteration 24: (EM) log likelihood = -29317.211
Iteration 25: (EM) log likelihood = -29252.357
Iteration 26: (EM) log likelihood = -29190.177
Iteration 27: (EM) log likelihood = -29130.102
Iteration 28: (EM) log likelihood = -29075.124
Iteration 29: (EM) log likelihood = -29023.956
Iteration 30: (EM) log likelihood = -28978.171
Iteration 31: (EM) log likelihood = -28936.723
Iteration 32: (EM) log likelihood = -28907.06
Iteration 33: (EM) log likelihood = -28872.617
Iteration 34: (EM) log likelihood = -28843.158
Iteration 35: (EM) log likelihood = -28815.778
Iteration 36: (EM) log likelihood = -28792.962
Iteration 37: (EM) log likelihood = -28770.736
Iteration 38: (EM) log likelihood = -28751.566
Iteration 39: (EM) log likelihood = -28732.643
Iteration 40: (EM) log likelihood = -28714.038
Iteration 41: (EM) log likelihood = -28696.286
Iteration 42: (EM) log likelihood = -28680.195
Iteration 43: (EM) log likelihood = -28666.795
Iteration 44: (EM) log likelihood = -28651.575
Iteration 45: (EM) log likelihood = -28638.416
Iteration 46: (EM) log likelihood = -28627.798
Iteration 47: (EM) log likelihood = -28618.566
Iteration 48: (EM) log likelihood = -28606.84
Iteration 49: (EM) log likelihood = -28596.752
Iteration 50: (EM) log likelihood = -28587.404
Iteration 51: (EM) log likelihood = -28580.078
Iteration 52: (EM) log likelihood = -28572.149
Iteration 53: (EM) log likelihood = -28564.432
Iteration 54: (EM) log likelihood = -28553.36
Iteration 55: (EM) log likelihood = -28549.37
Iteration 56: (EM) log likelihood = -28543.453
Iteration 57: (EM) log likelihood = -28541.806
Iteration 58: (EM) log likelihood = -28531.686
Iteration 59: (EM) log likelihood = -28528.754
Iteration 60: (EM) log likelihood = -28525.043
Iteration 61: (EM) log likelihood = -28521.549
Iteration 62: (EM) log likelihood = -28516.09
Iteration 63: (EM) log likelihood = -28511.9
Iteration 64: (EM) log likelihood = -28507.905
Iteration 65: (EM) log likelihood = -28505.381
Iteration 66: (EM) log likelihood = -28501.301
Iteration 67: (EM) log likelihood = -28497.641
Iteration 68: (EM) log likelihood = -28495.429
Iteration 69: (EM) log likelihood = -28492.879
Iteration 70: (EM) log likelihood = -28490.362
Iteration 71: (EM) log likelihood = -28487.192
Iteration 72: (EM) log likelihood = -28483.605
Iteration 73: (EM) log likelihood = -28480.279
Iteration 74: (EM) log likelihood = -28476.082
Iteration 75: (EM) log likelihood = -28474.283
Iteration 76: (EM) log likelihood = -28473.196
Iteration 77: (EM) log likelihood = -28471.995
Iteration 78: (EM) log likelihood = -28465.802
Iteration 79: (EM) log likelihood = -28466.074
Iteration 80: (EM) log likelihood = -28464.283
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7875.8292
Iteration 1: (class) log likelihood = -7875.8292
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30702.605
Iteration 1: (outcome) log likelihood = -29347.426
Iteration 2: (outcome) log likelihood = -29136.21
Iteration 3: (outcome) log likelihood = -29090.195
Iteration 4: (outcome) log likelihood = -29079.228
Iteration 5: (outcome) log likelihood = -29076.941
Iteration 6: (outcome) log likelihood = -29076.464
Iteration 7: (outcome) log likelihood = -29076.355
Iteration 8: (outcome) log likelihood = -29076.328
Iteration 9: (outcome) log likelihood = -29076.323
Iteration 10: (outcome) log likelihood = -29076.322
Iteration 11: (outcome) log likelihood = -29076.322
Iteration 12: (outcome) log likelihood = -29076.322
Iteration 13: (outcome) log likelihood = -29076.322
Refining starting values:
Iteration 0: (EM) log likelihood = -36913.831
Iteration 1: (EM) log likelihood = -36760.019
Iteration 2: (EM) log likelihood = -36271.936
Iteration 3: (EM) log likelihood = -35269.597
Iteration 4: (EM) log likelihood = -34197.05
Iteration 5: (EM) log likelihood = -33424.204
Iteration 6: (EM) log likelihood = -32800.966
Iteration 7: (EM) log likelihood = -32234.247
Iteration 8: (EM) log likelihood = -31743.401
Iteration 9: (EM) log likelihood = -31358.059
Iteration 10: (EM) log likelihood = -31057.419
Iteration 11: (EM) log likelihood = -30803.605
Iteration 12: (EM) log likelihood = -30574.441
Iteration 13: (EM) log likelihood = -30372.186
Iteration 14: (EM) log likelihood = -30192.078
Iteration 15: (EM) log likelihood = -30030.807
Iteration 16: (EM) log likelihood = -29891.757
Iteration 17: (EM) log likelihood = -29772.938
Iteration 18: (EM) log likelihood = -29672.569
Iteration 19: (EM) log likelihood = -29586.57
Iteration 20: (EM) log likelihood = -29512.678
Iteration 21: (EM) log likelihood = -29447.496
Iteration 22: (EM) log likelihood = -29389.887
Iteration 23: (EM) log likelihood = -29334.623
Iteration 24: (EM) log likelihood = -29280.543
Iteration 25: (EM) log likelihood = -29232.353
Iteration 26: (EM) log likelihood = -29185.646
Iteration 27: (EM) log likelihood = -29140.325
Iteration 28: (EM) log likelihood = -29094.835
Iteration 29: (EM) log likelihood = -29048.987
Iteration 30: (EM) log likelihood = -29008.717
Iteration 31: (EM) log likelihood = -28970.683
Iteration 32: (EM) log likelihood = -28932.513
Iteration 33: (EM) log likelihood = -28898.167
Iteration 34: (EM) log likelihood = -28864.719
Iteration 35: (EM) log likelihood = -28831.821
Iteration 36: (EM) log likelihood = -28801.696
Iteration 37: (EM) log likelihood = -28772.356
Iteration 38: (EM) log likelihood = -28745.986
Iteration 39: (EM) log likelihood = -28720.985
Iteration 40: (EM) log likelihood = -28697.816
Iteration 41: (EM) log likelihood = -28676.138
Iteration 42: (EM) log likelihood = -28656.252
Iteration 43: (EM) log likelihood = -28637.408
Iteration 44: (EM) log likelihood = -28621.165
Iteration 45: (EM) log likelihood = -28601.385
Iteration 46: (EM) log likelihood = -28587.294
Iteration 47: (EM) log likelihood = -28573.176
Iteration 48: (EM) log likelihood = -28559.681
Iteration 49: (EM) log likelihood = -28547.775
Iteration 50: (EM) log likelihood = -28535.758
Iteration 51: (EM) log likelihood = -28525.481
Iteration 52: (EM) log likelihood = -28515.572
Iteration 53: (EM) log likelihood = -28506.208
Iteration 54: (EM) log likelihood = -28497.989
Iteration 55: (EM) log likelihood = -28489.153
Iteration 56: (EM) log likelihood = -28479.78
Iteration 57: (EM) log likelihood = -28471.074
Iteration 58: (EM) log likelihood = -28462.768
Iteration 59: (EM) log likelihood = -28455.935
Iteration 60: (EM) log likelihood = -28447.185
Iteration 61: (EM) log likelihood = -28440.307
Iteration 62: (EM) log likelihood = -28429.259
Iteration 63: (EM) log likelihood = -28419.98
Iteration 64: (EM) log likelihood = -28411.39
Iteration 65: (EM) log likelihood = -28403.838
Iteration 66: (EM) log likelihood = -28396.211
Iteration 67: (EM) log likelihood = -28389.338
Iteration 68: (EM) log likelihood = -28380.816
Iteration 69: (EM) log likelihood = -28372.394
Iteration 70: (EM) log likelihood = -28364.472
Iteration 71: (EM) log likelihood = -28356.416
Iteration 72: (EM) log likelihood = -28349.639
Iteration 73: (EM) log likelihood = -28342.648
Iteration 74: (EM) log likelihood = -28335.916
Iteration 75: (EM) log likelihood = -28329.586
Iteration 76: (EM) log likelihood = -28317.456
Iteration 77: (EM) log likelihood = -28311.124
Iteration 78: (EM) log likelihood = -28306.482
Iteration 79: (EM) log likelihood = -28299.601
Iteration 80: (EM) log likelihood = -28289.022
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7877.491
Iteration 1: (class) log likelihood = -7877.491
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29660.39
Iteration 1: (outcome) log likelihood = -29178.417
Iteration 2: (outcome) log likelihood = -29089.721
Iteration 3: (outcome) log likelihood = -29072.001
Iteration 4: (outcome) log likelihood = -29067.913
Iteration 5: (outcome) log likelihood = -29066.952
Iteration 6: (outcome) log likelihood = -29066.751
Iteration 7: (outcome) log likelihood = -29066.718
Iteration 8: (outcome) log likelihood = -29066.714
Iteration 9: (outcome) log likelihood = -29066.713
Iteration 10: (outcome) log likelihood = -29066.713
Iteration 11: (outcome) log likelihood = -29066.713
Iteration 12: (outcome) log likelihood = -29066.713
Refining starting values:
Iteration 0: (EM) log likelihood = -36859.818
Iteration 1: (EM) log likelihood = -36557.153
Iteration 2: (EM) log likelihood = -35778.605
Iteration 3: (EM) log likelihood = -34607.763
Iteration 4: (EM) log likelihood = -33597.35
Iteration 5: (EM) log likelihood = -32854.276
Iteration 6: (EM) log likelihood = -32260.915
Iteration 7: (EM) log likelihood = -31787.331
Iteration 8: (EM) log likelihood = -31395.736
Iteration 9: (EM) log likelihood = -31061.446
Iteration 10: (EM) log likelihood = -30786.399
Iteration 11: (EM) log likelihood = -30554.526
Iteration 12: (EM) log likelihood = -30348.002
Iteration 13: (EM) log likelihood = -30170.784
Iteration 14: (EM) log likelihood = -30012.838
Iteration 15: (EM) log likelihood = -29875.827
Iteration 16: (EM) log likelihood = -29758.456
Iteration 17: (EM) log likelihood = -29657.446
Iteration 18: (EM) log likelihood = -29568.07
Iteration 19: (EM) log likelihood = -29486.419
Iteration 20: (EM) log likelihood = -29415.537
Iteration 21: (EM) log likelihood = -29351.335
Iteration 22: (EM) log likelihood = -29290.341
Iteration 23: (EM) log likelihood = -29233.459
Iteration 24: (EM) log likelihood = -29179.339
Iteration 25: (EM) log likelihood = -29128.079
Iteration 26: (EM) log likelihood = -29079.515
Iteration 27: (EM) log likelihood = -29033.06
Iteration 28: (EM) log likelihood = -28987.939
Iteration 29: (EM) log likelihood = -28945.638
Iteration 30: (EM) log likelihood = -28905.292
Iteration 31: (EM) log likelihood = -28866.811
Iteration 32: (EM) log likelihood = -28831.088
Iteration 33: (EM) log likelihood = -28797.187
Iteration 34: (EM) log likelihood = -28766.958
Iteration 35: (EM) log likelihood = -28737.622
Iteration 36: (EM) log likelihood = -28711.431
Iteration 37: (EM) log likelihood = -28688.919
Iteration 38: (EM) log likelihood = -28667.698
Iteration 39: (EM) log likelihood = -28649.05
Iteration 40: (EM) log likelihood = -28633.645
Iteration 41: (EM) log likelihood = -28619.283
Iteration 42: (EM) log likelihood = -28605.386
Iteration 43: (EM) log likelihood = -28594.004
Iteration 44: (EM) log likelihood = -28583.978
Iteration 45: (EM) log likelihood = -28573.38
Iteration 46: (EM) log likelihood = -28563.82
Iteration 47: (EM) log likelihood = -28555.424
Iteration 48: (EM) log likelihood = -28549.001
Iteration 49: (EM) log likelihood = -28542.735
Iteration 50: (EM) log likelihood = -28536.426
Iteration 51: (EM) log likelihood = -28530.894
Iteration 52: (EM) log likelihood = -28526.684
Iteration 53: (EM) log likelihood = -28521.137
Iteration 54: (EM) log likelihood = -28516.174
Iteration 55: (EM) log likelihood = -28511.254
Iteration 56: (EM) log likelihood = -28506.427
Iteration 57: (EM) log likelihood = -28501.978
Iteration 58: (EM) log likelihood = -28498.029
Iteration 59: (EM) log likelihood = -28493.967
Iteration 60: (EM) log likelihood = -28489.525
Iteration 61: (EM) log likelihood = -28484.708
Iteration 62: (EM) log likelihood = -28480.373
Iteration 63: (EM) log likelihood = -28476.15
Iteration 64: (EM) log likelihood = -28472.18
Iteration 65: (EM) log likelihood = -28468.421
Iteration 66: (EM) log likelihood = -28464.783
Iteration 67: (EM) log likelihood = -28461.314
Iteration 68: (EM) log likelihood = -28457.988
Iteration 69: (EM) log likelihood = -28454.824
Iteration 70: (EM) log likelihood = -28451.768
Iteration 71: (EM) log likelihood = -28448.914
Iteration 72: (EM) log likelihood = -28446.069
Iteration 73: (EM) log likelihood = -28443.577
Iteration 74: (EM) log likelihood = -28441.316
Iteration 75: (EM) log likelihood = -28438.965
Iteration 76: (EM) log likelihood = -28436.579
Iteration 77: (EM) log likelihood = -28434.292
Iteration 78: (EM) log likelihood = -28433.112
Iteration 79: (EM) log likelihood = -28430.816
Iteration 80: (EM) log likelihood = -28428.445
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7873.7987
Iteration 1: (class) log likelihood = -7873.7987
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29404.017
Iteration 1: (outcome) log likelihood = -29165.539
Iteration 2: (outcome) log likelihood = -29113.281
Iteration 3: (outcome) log likelihood = -29102.321
Iteration 4: (outcome) log likelihood = -29100.286
Iteration 5: (outcome) log likelihood = -29099.842
Iteration 6: (outcome) log likelihood = -29099.736
Iteration 7: (outcome) log likelihood = -29099.713
Iteration 8: (outcome) log likelihood = -29099.707
Iteration 9: (outcome) log likelihood = -29099.707
Iteration 10: (outcome) log likelihood = -29099.706
Iteration 11: (outcome) log likelihood = -29099.706
Refining starting values:
Iteration 0: (EM) log likelihood = -36964.453
Iteration 1: (EM) log likelihood = -36920.997
Iteration 2: (EM) log likelihood = -36760.656
Iteration 3: (EM) log likelihood = -36187.363
Iteration 4: (EM) log likelihood = -35001.589
Iteration 5: (EM) log likelihood = -33917.129
Iteration 6: (EM) log likelihood = -33221.437
Iteration 7: (EM) log likelihood = -32720.493
Iteration 8: (EM) log likelihood = -32299.645
Iteration 9: (EM) log likelihood = -31915.397
Iteration 10: (EM) log likelihood = -31567.442
Iteration 11: (EM) log likelihood = -31259.124
Iteration 12: (EM) log likelihood = -30986.266
Iteration 13: (EM) log likelihood = -30739.094
Iteration 14: (EM) log likelihood = -30522.048
Iteration 15: (EM) log likelihood = -30335.287
Iteration 16: (EM) log likelihood = -30174.612
Iteration 17: (EM) log likelihood = -30035.107
Iteration 18: (EM) log likelihood = -29917.749
Iteration 19: (EM) log likelihood = -29816.502
Iteration 20: (EM) log likelihood = -29726.283
Iteration 21: (EM) log likelihood = -29648.499
Iteration 22: (EM) log likelihood = -29578.362
Iteration 23: (EM) log likelihood = -29517.245
Iteration 24: (EM) log likelihood = -29465.782
Iteration 25: (EM) log likelihood = -29421.24
Iteration 26: (EM) log likelihood = -29385.128
Iteration 27: (EM) log likelihood = -29356.558
Iteration 28: (EM) log likelihood = -29331.242
Iteration 29: (EM) log likelihood = -29309.138
Iteration 30: (EM) log likelihood = -29291.51
Iteration 31: (EM) log likelihood = -29276.734
Iteration 32: (EM) log likelihood = -29262.41
Iteration 33: (EM) log likelihood = -29249.583
Iteration 34: (EM) log likelihood = -29238.822
Iteration 35: (EM) log likelihood = -29228.54
Iteration 36: (EM) log likelihood = -29218.232
Iteration 37: (EM) log likelihood = -29207.575
Iteration 38: (EM) log likelihood = -29197.982
Iteration 39: (EM) log likelihood = -29187.451
Iteration 40: (EM) log likelihood = -29177.966
Iteration 41: (EM) log likelihood = -29167.925
Iteration 42: (EM) log likelihood = -29157.336
Iteration 43: (EM) log likelihood = -29148.788
Iteration 44: (EM) log likelihood = -29139.843
Iteration 45: (EM) log likelihood = -29131.982
Iteration 46: (EM) log likelihood = -29123.876
Iteration 47: (EM) log likelihood = -29116.149
Iteration 48: (EM) log likelihood = -29108.667
Iteration 49: (EM) log likelihood = -29101.139
Iteration 50: (EM) log likelihood = -29093.976
Iteration 51: (EM) log likelihood = -29087.062
Iteration 52: (EM) log likelihood = -29079.925
Iteration 53: (EM) log likelihood = -29072.351
Iteration 54: (EM) log likelihood = -29064.485
Iteration 55: (EM) log likelihood = -29056.141
Iteration 56: (EM) log likelihood = -29047.423
Iteration 57: (EM) log likelihood = -29038.403
Iteration 58: (EM) log likelihood = -29028.901
Iteration 59: (EM) log likelihood = -29019.027
Iteration 60: (EM) log likelihood = -29008.739
Iteration 61: (EM) log likelihood = -28997.838
Iteration 62: (EM) log likelihood = -28986.758
Iteration 63: (EM) log likelihood = -28975.843
Iteration 64: (EM) log likelihood = -28964.515
Iteration 65: (EM) log likelihood = -28952.891
Iteration 66: (EM) log likelihood = -28941.53
Iteration 67: (EM) log likelihood = -28929.501
Iteration 68: (EM) log likelihood = -28919.128
Iteration 69: (EM) log likelihood = -28909.094
Iteration 70: (EM) log likelihood = -28900.304
Iteration 71: (EM) log likelihood = -28892.032
Iteration 72: (EM) log likelihood = -28884.979
Iteration 73: (EM) log likelihood = -28877.973
Iteration 74: (EM) log likelihood = -28871.592
Iteration 75: (EM) log likelihood = -28866.105
Iteration 76: (EM) log likelihood = -28860.942
Iteration 77: (EM) log likelihood = -28853.029
Iteration 78: (EM) log likelihood = -28849.209
Iteration 79: (EM) log likelihood = -28846.042
Iteration 80: (EM) log likelihood = -28843.02
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7874.8649
Iteration 1: (class) log likelihood = -7874.8649
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30148.314
Iteration 1: (outcome) log likelihood = -29288.34
Iteration 2: (outcome) log likelihood = -29128.902
Iteration 3: (outcome) log likelihood = -29097.444
Iteration 4: (outcome) log likelihood = -29089.822
Iteration 5: (outcome) log likelihood = -29088.349
Iteration 6: (outcome) log likelihood = -29088.099
Iteration 7: (outcome) log likelihood = -29088.041
Iteration 8: (outcome) log likelihood = -29088.028
Iteration 9: (outcome) log likelihood = -29088.025
Iteration 10: (outcome) log likelihood = -29088.024
Iteration 11: (outcome) log likelihood = -29088.024
Iteration 12: (outcome) log likelihood = -29088.024
Refining starting values:
Iteration 0: (EM) log likelihood = -36939.584
Iteration 1: (EM) log likelihood = -36855.263
Iteration 2: (EM) log likelihood = -36625.796
Iteration 3: (EM) log likelihood = -36085.791
Iteration 4: (EM) log likelihood = -35110.916
Iteration 5: (EM) log likelihood = -34062.834
Iteration 6: (EM) log likelihood = -33274.413
Iteration 7: (EM) log likelihood = -32634.343
Iteration 8: (EM) log likelihood = -32069.627
Iteration 9: (EM) log likelihood = -31592.483
Iteration 10: (EM) log likelihood = -31214.095
Iteration 11: (EM) log likelihood = -30907.785
Iteration 12: (EM) log likelihood = -30646.743
Iteration 13: (EM) log likelihood = -30413.994
Iteration 14: (EM) log likelihood = -30200.934
Iteration 15: (EM) log likelihood = -30013.108
Iteration 16: (EM) log likelihood = -29848.859
Iteration 17: (EM) log likelihood = -29706.896
Iteration 18: (EM) log likelihood = -29588.465
Iteration 19: (EM) log likelihood = -29486.564
Iteration 20: (EM) log likelihood = -29401.266
Iteration 21: (EM) log likelihood = -29329.296
Iteration 22: (EM) log likelihood = -29268.775
Iteration 23: (EM) log likelihood = -29217.581
Iteration 24: (EM) log likelihood = -29172.922
Iteration 25: (EM) log likelihood = -29134.494
Iteration 26: (EM) log likelihood = -29100.228
Iteration 27: (EM) log likelihood = -29070.931
Iteration 28: (EM) log likelihood = -29043.131
Iteration 29: (EM) log likelihood = -29017.951
Iteration 30: (EM) log likelihood = -28995.177
Iteration 31: (EM) log likelihood = -28971.995
Iteration 32: (EM) log likelihood = -28949.965
Iteration 33: (EM) log likelihood = -28927.456
Iteration 34: (EM) log likelihood = -28906.998
Iteration 35: (EM) log likelihood = -28887.764
Iteration 36: (EM) log likelihood = -28868.291
Iteration 37: (EM) log likelihood = -28847.584
Iteration 38: (EM) log likelihood = -28826.944
Iteration 39: (EM) log likelihood = -28806.693
Iteration 40: (EM) log likelihood = -28787.179
Iteration 41: (EM) log likelihood = -28766.486
Iteration 42: (EM) log likelihood = -28747.92
Iteration 43: (EM) log likelihood = -28727.395
Iteration 44: (EM) log likelihood = -28707.313
Iteration 45: (EM) log likelihood = -28685.037
Iteration 46: (EM) log likelihood = -28664.86
Iteration 47: (EM) log likelihood = -28645.876
Iteration 48: (EM) log likelihood = -28626.72
Iteration 49: (EM) log likelihood = -28602.693
Iteration 50: (EM) log likelihood = -28586.88
Iteration 51: (EM) log likelihood = -28566.246
Iteration 52: (EM) log likelihood = -28546.126
Iteration 53: (EM) log likelihood = -28526.755
Iteration 54: (EM) log likelihood = -28512.727
Iteration 55: (EM) log likelihood = -28494.151
Iteration 56: (EM) log likelihood = -28475.608
Iteration 57: (EM) log likelihood = -28460.19
Iteration 58: (EM) log likelihood = -28445.807
Iteration 59: (EM) log likelihood = -28430.992
Iteration 60: (EM) log likelihood = -28418.488
Iteration 61: (EM) log likelihood = -28406.614
Iteration 62: (EM) log likelihood = -28395.345
Iteration 63: (EM) log likelihood = -28384.055
Iteration 64: (EM) log likelihood = -28374.719
Iteration 65: (EM) log likelihood = -28366.209
Iteration 66: (EM) log likelihood = -28358.509
Iteration 67: (EM) log likelihood = -28351.018
Iteration 68: (EM) log likelihood = -28345.176
Iteration 69: (EM) log likelihood = -28337.632
Iteration 70: (EM) log likelihood = -28331.729
Iteration 71: (EM) log likelihood = -28319.54
Iteration 72: (EM) log likelihood = -28313.254
Iteration 73: (EM) log likelihood = -28305.512
Iteration 74: (EM) log likelihood = -28295.821
Iteration 75: (EM) log likelihood = -28286.305
Iteration 76: (EM) log likelihood = -28280.828
Iteration 77: (EM) log likelihood = -28273.126
Iteration 78: (EM) log likelihood = -28266.181
Iteration 79: (EM) log likelihood = -28258.622
Iteration 80: (EM) log likelihood = -28253.712
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7873.6451
Iteration 1: (class) log likelihood = -7873.6451
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29651.283
Iteration 1: (outcome) log likelihood = -29224.425
Iteration 2: (outcome) log likelihood = -29118.856
Iteration 3: (outcome) log likelihood = -29101.782
Iteration 4: (outcome) log likelihood = -29098.886
Iteration 5: (outcome) log likelihood = -29098.224
Iteration 6: (outcome) log likelihood = -29098.059
Iteration 7: (outcome) log likelihood = -29098.027
Iteration 8: (outcome) log likelihood = -29098.022
Iteration 9: (outcome) log likelihood = -29098.02
Iteration 10: (outcome) log likelihood = -29098.02
Iteration 11: (outcome) log likelihood = -29098.02
Iteration 12: (outcome) log likelihood = -29098.02
Refining starting values:
Iteration 0: (EM) log likelihood = -36944.128
Iteration 1: (EM) log likelihood = -36839.621
Iteration 2: (EM) log likelihood = -36522.251
Iteration 3: (EM) log likelihood = -35787.826
Iteration 4: (EM) log likelihood = -34683.881
Iteration 5: (EM) log likelihood = -33592.709
Iteration 6: (EM) log likelihood = -32731.393
Iteration 7: (EM) log likelihood = -32103.084
Iteration 8: (EM) log likelihood = -31648.232
Iteration 9: (EM) log likelihood = -31313.873
Iteration 10: (EM) log likelihood = -31058.099
Iteration 11: (EM) log likelihood = -30853.603
Iteration 12: (EM) log likelihood = -30687.274
Iteration 13: (EM) log likelihood = -30547.656
Iteration 14: (EM) log likelihood = -30424.513
Iteration 15: (EM) log likelihood = -30313.001
Iteration 16: (EM) log likelihood = -30216.859
Iteration 17: (EM) log likelihood = -30135.525
Iteration 18: (EM) log likelihood = -30063.032
Iteration 19: (EM) log likelihood = -29997.58
Iteration 20: (EM) log likelihood = -29935.809
Iteration 21: (EM) log likelihood = -29875.045
Iteration 22: (EM) log likelihood = -29813.153
Iteration 23: (EM) log likelihood = -29750.128
Iteration 24: (EM) log likelihood = -29688.912
Iteration 25: (EM) log likelihood = -29624.87
Iteration 26: (EM) log likelihood = -29564.298
Iteration 27: (EM) log likelihood = -29504.817
Iteration 28: (EM) log likelihood = -29452.645
Iteration 29: (EM) log likelihood = -29402.133
Iteration 30: (EM) log likelihood = -29353.752
Iteration 31: (EM) log likelihood = -29310.688
Iteration 32: (EM) log likelihood = -29270.853
Iteration 33: (EM) log likelihood = -29232.821
Iteration 34: (EM) log likelihood = -29196.77
Iteration 35: (EM) log likelihood = -29164.263
Iteration 36: (EM) log likelihood = -29133.382
Iteration 37: (EM) log likelihood = -29103.677
Iteration 38: (EM) log likelihood = -29077.834
Iteration 39: (EM) log likelihood = -29053.884
Iteration 40: (EM) log likelihood = -29031.977
Iteration 41: (EM) log likelihood = -29015.161
Iteration 42: (EM) log likelihood = -28996.033
Iteration 43: (EM) log likelihood = -28980.304
Iteration 44: (EM) log likelihood = -28965.309
Iteration 45: (EM) log likelihood = -28952.492
Iteration 46: (EM) log likelihood = -28940.98
Iteration 47: (EM) log likelihood = -28931.107
Iteration 48: (EM) log likelihood = -28921.431
Iteration 49: (EM) log likelihood = -28912.48
Iteration 50: (EM) log likelihood = -28903.237
Iteration 51: (EM) log likelihood = -28895.068
Iteration 52: (EM) log likelihood = -28887.489
Iteration 53: (EM) log likelihood = -28881.201
Iteration 54: (EM) log likelihood = -28874.765
Iteration 55: (EM) log likelihood = -28868.211
Iteration 56: (EM) log likelihood = -28862.79
Iteration 57: (EM) log likelihood = -28856.126
Iteration 58: (EM) log likelihood = -28852.308
Iteration 59: (EM) log likelihood = -28846.906
Iteration 60: (EM) log likelihood = -28843.296
Iteration 61: (EM) log likelihood = -28839.734
Iteration 62: (EM) log likelihood = -28835.687
Iteration 63: (EM) log likelihood = -28833.545
Iteration 64: (EM) log likelihood = -28830.295
Iteration 65: (EM) log likelihood = -28825.921
Iteration 66: (EM) log likelihood = -28823.005
Iteration 67: (EM) log likelihood = -28820.203
Iteration 68: (EM) log likelihood = -28816.118
Iteration 69: (EM) log likelihood = -28814.223
Iteration 70: (EM) log likelihood = -28811.494
Iteration 71: (EM) log likelihood = -28808.91
Iteration 72: (EM) log likelihood = -28806.634
Iteration 73: (EM) log likelihood = -28804.793
Iteration 74: (EM) log likelihood = -28802.615
Iteration 75: (EM) log likelihood = -28799.987
Iteration 76: (EM) log likelihood = -28795.533
Iteration 77: (EM) log likelihood = -28790.548
Iteration 78: (EM) log likelihood = -28784.564
Iteration 79: (EM) log likelihood = -28778.229
Iteration 80: (EM) log likelihood = -28770.699
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7877.482
Iteration 1: (class) log likelihood = -7877.482
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29665.874
Iteration 1: (outcome) log likelihood = -29182.6
Iteration 2: (outcome) log likelihood = -29103.447
Iteration 3: (outcome) log likelihood = -29091.071
Iteration 4: (outcome) log likelihood = -29088.444
Iteration 5: (outcome) log likelihood = -29087.799
Iteration 6: (outcome) log likelihood = -29087.663
Iteration 7: (outcome) log likelihood = -29087.634
Iteration 8: (outcome) log likelihood = -29087.628
Iteration 9: (outcome) log likelihood = -29087.626
Iteration 10: (outcome) log likelihood = -29087.626
Iteration 11: (outcome) log likelihood = -29087.626
Iteration 12: (outcome) log likelihood = -29087.626
Refining starting values:
Iteration 0: (EM) log likelihood = -36928.29
Iteration 1: (EM) log likelihood = -36777.032
Iteration 2: (EM) log likelihood = -36300.572
Iteration 3: (EM) log likelihood = -35259.645
Iteration 4: (EM) log likelihood = -34029.466
Iteration 5: (EM) log likelihood = -33135.066
Iteration 6: (EM) log likelihood = -32561.943
Iteration 7: (EM) log likelihood = -32170.164
Iteration 8: (EM) log likelihood = -31858.754
Iteration 9: (EM) log likelihood = -31578.568
Iteration 10: (EM) log likelihood = -31314.087
Iteration 11: (EM) log likelihood = -31057.564
Iteration 12: (EM) log likelihood = -30808.563
Iteration 13: (EM) log likelihood = -30575.304
Iteration 14: (EM) log likelihood = -30367.232
Iteration 15: (EM) log likelihood = -30192.723
Iteration 16: (EM) log likelihood = -30050.248
Iteration 17: (EM) log likelihood = -29935.545
Iteration 18: (EM) log likelihood = -29845.622
Iteration 19: (EM) log likelihood = -29770.137
Iteration 20: (EM) log likelihood = -29706.403
Iteration 21: (EM) log likelihood = -29651.347
Iteration 22: (EM) log likelihood = -29603.763
Iteration 23: (EM) log likelihood = -29563.055
Iteration 24: (EM) log likelihood = -29526.541
Iteration 25: (EM) log likelihood = -29493.175
Iteration 26: (EM) log likelihood = -29462.521
Iteration 27: (EM) log likelihood = -29433.26
Iteration 28: (EM) log likelihood = -29405.71
Iteration 29: (EM) log likelihood = -29379.871
Iteration 30: (EM) log likelihood = -29355.791
Iteration 31: (EM) log likelihood = -29331.615
Iteration 32: (EM) log likelihood = -29308.589
Iteration 33: (EM) log likelihood = -29287.236
Iteration 34: (EM) log likelihood = -29267.422
Iteration 35: (EM) log likelihood = -29249.509
Iteration 36: (EM) log likelihood = -29232.205
Iteration 37: (EM) log likelihood = -29215.836
Iteration 38: (EM) log likelihood = -29200.841
Iteration 39: (EM) log likelihood = -29186.667
Iteration 40: (EM) log likelihood = -29174.074
Iteration 41: (EM) log likelihood = -29161.919
Iteration 42: (EM) log likelihood = -29149.856
Iteration 43: (EM) log likelihood = -29138.502
Iteration 44: (EM) log likelihood = -29128.115
Iteration 45: (EM) log likelihood = -29117.427
Iteration 46: (EM) log likelihood = -29107.924
Iteration 47: (EM) log likelihood = -29099.628
Iteration 48: (EM) log likelihood = -29092.297
Iteration 49: (EM) log likelihood = -29084.666
Iteration 50: (EM) log likelihood = -29076.923
Iteration 51: (EM) log likelihood = -29069.579
Iteration 52: (EM) log likelihood = -29063.344
Iteration 53: (EM) log likelihood = -29056.357
Iteration 54: (EM) log likelihood = -29050.039
Iteration 55: (EM) log likelihood = -29044.887
Iteration 56: (EM) log likelihood = -29038.737
Iteration 57: (EM) log likelihood = -29032.811
Iteration 58: (EM) log likelihood = -29024.834
Iteration 59: (EM) log likelihood = -29019.27
Iteration 60: (EM) log likelihood = -29013.547
Iteration 61: (EM) log likelihood = -29008.879
Iteration 62: (EM) log likelihood = -29003.767
Iteration 63: (EM) log likelihood = -28998.934
Iteration 64: (EM) log likelihood = -28994.181
Iteration 65: (EM) log likelihood = -28989.997
Iteration 66: (EM) log likelihood = -28985.311
Iteration 67: (EM) log likelihood = -28981.138
Iteration 68: (EM) log likelihood = -28977.484
Iteration 69: (EM) log likelihood = -28973.164
Iteration 70: (EM) log likelihood = -28969.33
Iteration 71: (EM) log likelihood = -28965.726
Iteration 72: (EM) log likelihood = -28962.086
Iteration 73: (EM) log likelihood = -28958.116
Iteration 74: (EM) log likelihood = -28954.566
Iteration 75: (EM) log likelihood = -28950.997
Iteration 76: (EM) log likelihood = -28947.853
Iteration 77: (EM) log likelihood = -28944.869
Iteration 78: (EM) log likelihood = -28941.649
Iteration 79: (EM) log likelihood = -28938.712
Iteration 80: (EM) log likelihood = -28933.42
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7870.0496
Iteration 1: (class) log likelihood = -7870.0496
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29511.292
Iteration 1: (outcome) log likelihood = -29200.002
Iteration 2: (outcome) log likelihood = -29106.367
Iteration 3: (outcome) log likelihood = -29091.003
Iteration 4: (outcome) log likelihood = -29087.491
Iteration 5: (outcome) log likelihood = -29086.756
Iteration 6: (outcome) log likelihood = -29086.626
Iteration 7: (outcome) log likelihood = -29086.612
Iteration 8: (outcome) log likelihood = -29086.61
Iteration 9: (outcome) log likelihood = -29086.609
Iteration 10: (outcome) log likelihood = -29086.609
Iteration 11: (outcome) log likelihood = -29086.609
Refining starting values:
Iteration 0: (EM) log likelihood = -36930.447
Iteration 1: (EM) log likelihood = -36838.083
Iteration 2: (EM) log likelihood = -36544.484
Iteration 3: (EM) log likelihood = -35787.02
Iteration 4: (EM) log likelihood = -34611.289
Iteration 5: (EM) log likelihood = -33520.76
Iteration 6: (EM) log likelihood = -32693.142
Iteration 7: (EM) log likelihood = -32074.696
Iteration 8: (EM) log likelihood = -31619.314
Iteration 9: (EM) log likelihood = -31281.329
Iteration 10: (EM) log likelihood = -31011.69
Iteration 11: (EM) log likelihood = -30791.918
Iteration 12: (EM) log likelihood = -30613.938
Iteration 13: (EM) log likelihood = -30469.774
Iteration 14: (EM) log likelihood = -30347.888
Iteration 15: (EM) log likelihood = -30247.292
Iteration 16: (EM) log likelihood = -30163.453
Iteration 17: (EM) log likelihood = -30096.325
Iteration 18: (EM) log likelihood = -30038.656
Iteration 19: (EM) log likelihood = -29993.856
Iteration 20: (EM) log likelihood = -29952.765
Iteration 21: (EM) log likelihood = -29920.347
Iteration 22: (EM) log likelihood = -29892.604
Iteration 23: (EM) log likelihood = -29867.019
Iteration 24: (EM) log likelihood = -29845.493
Iteration 25: (EM) log likelihood = -29824.464
Iteration 26: (EM) log likelihood = -29805.027
Iteration 27: (EM) log likelihood = -29789.23
Iteration 28: (EM) log likelihood = -29770.7
Iteration 29: (EM) log likelihood = -29753.96
Iteration 30: (EM) log likelihood = -29735.363
Iteration 31: (EM) log likelihood = -29718.868
Iteration 32: (EM) log likelihood = -29701.383
Iteration 33: (EM) log likelihood = -29684.063
Iteration 34: (EM) log likelihood = -29667.751
Iteration 35: (EM) log likelihood = -29648.643
Iteration 36: (EM) log likelihood = -29631.986
Iteration 37: (EM) log likelihood = -29615.963
Iteration 38: (EM) log likelihood = -29599.964
Iteration 39: (EM) log likelihood = -29584.376
Iteration 40: (EM) log likelihood = -29569.794
Iteration 41: (EM) log likelihood = -29554.346
Iteration 42: (EM) log likelihood = -29538.68
Iteration 43: (EM) log likelihood = -29521.61
Iteration 44: (EM) log likelihood = -29502.42
Iteration 45: (EM) log likelihood = -29482.609
Iteration 46: (EM) log likelihood = -29462.551
Iteration 47: (EM) log likelihood = -29441.585
Iteration 48: (EM) log likelihood = -29419.923
Iteration 49: (EM) log likelihood = -29396.976
Iteration 50: (EM) log likelihood = -29372.997
Iteration 51: (EM) log likelihood = -29347.055
Iteration 52: (EM) log likelihood = -29320.453
Iteration 53: (EM) log likelihood = -29292.236
Iteration 54: (EM) log likelihood = -29262.508
Iteration 55: (EM) log likelihood = -29231.687
Iteration 56: (EM) log likelihood = -29200.604
Iteration 57: (EM) log likelihood = -29170.216
Iteration 58: (EM) log likelihood = -29141.386
Iteration 59: (EM) log likelihood = -29114.165
Iteration 60: (EM) log likelihood = -29090.633
Iteration 61: (EM) log likelihood = -29069.238
Iteration 62: (EM) log likelihood = -29050.629
Iteration 63: (EM) log likelihood = -29034.794
Iteration 64: (EM) log likelihood = -29020.493
Iteration 65: (EM) log likelihood = -29009.027
Iteration 66: (EM) log likelihood = -28998.963
Iteration 67: (EM) log likelihood = -28989.813
Iteration 68: (EM) log likelihood = -28981.474
Iteration 69: (EM) log likelihood = -28974.096
Iteration 70: (EM) log likelihood = -28967.284
Iteration 71: (EM) log likelihood = -28960.61
Iteration 72: (EM) log likelihood = -28954.678
Iteration 73: (EM) log likelihood = -28948.598
Iteration 74: (EM) log likelihood = -28942.951
Iteration 75: (EM) log likelihood = -28937.53
Iteration 76: (EM) log likelihood = -28932.007
Iteration 77: (EM) log likelihood = -28927.12
Iteration 78: (EM) log likelihood = -28921.559
Iteration 79: (EM) log likelihood = -28916.708
Iteration 80: (EM) log likelihood = -28911.88
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7875.0893
Iteration 1: (class) log likelihood = -7875.0893
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30123.054
Iteration 1: (outcome) log likelihood = -29306.253
Iteration 2: (outcome) log likelihood = -29134.254
Iteration 3: (outcome) log likelihood = -29104.167
Iteration 4: (outcome) log likelihood = -29098.312
Iteration 5: (outcome) log likelihood = -29097.015
Iteration 6: (outcome) log likelihood = -29096.726
Iteration 7: (outcome) log likelihood = -29096.652
Iteration 8: (outcome) log likelihood = -29096.639
Iteration 9: (outcome) log likelihood = -29096.636
Iteration 10: (outcome) log likelihood = -29096.636
Iteration 11: (outcome) log likelihood = -29096.636
Iteration 12: (outcome) log likelihood = -29096.636
Refining starting values:
Iteration 0: (EM) log likelihood = -36953.244
Iteration 1: (EM) log likelihood = -36870.738
Iteration 2: (EM) log likelihood = -36620.619
Iteration 3: (EM) log likelihood = -36064.224
Iteration 4: (EM) log likelihood = -35203.369
Iteration 5: (EM) log likelihood = -34186.502
Iteration 6: (EM) log likelihood = -33266.59
Iteration 7: (EM) log likelihood = -32593.753
Iteration 8: (EM) log likelihood = -32079.089
Iteration 9: (EM) log likelihood = -31642.162
Iteration 10: (EM) log likelihood = -31254.816
Iteration 11: (EM) log likelihood = -30928.767
Iteration 12: (EM) log likelihood = -30666.37
Iteration 13: (EM) log likelihood = -30459.092
Iteration 14: (EM) log likelihood = -30291.714
Iteration 15: (EM) log likelihood = -30157.204
Iteration 16: (EM) log likelihood = -30047.122
Iteration 17: (EM) log likelihood = -29954.499
Iteration 18: (EM) log likelihood = -29878.897
Iteration 19: (EM) log likelihood = -29816.749
Iteration 20: (EM) log likelihood = -29763.121
Iteration 21: (EM) log likelihood = -29715.202
Iteration 22: (EM) log likelihood = -29671.032
Iteration 23: (EM) log likelihood = -29630.724
Iteration 24: (EM) log likelihood = -29592.358
Iteration 25: (EM) log likelihood = -29555.897
Iteration 26: (EM) log likelihood = -29521.091
Iteration 27: (EM) log likelihood = -29487.967
Iteration 28: (EM) log likelihood = -29457.316
Iteration 29: (EM) log likelihood = -29428.273
Iteration 30: (EM) log likelihood = -29400.453
Iteration 31: (EM) log likelihood = -29375.28
Iteration 32: (EM) log likelihood = -29352.004
Iteration 33: (EM) log likelihood = -29330.042
Iteration 34: (EM) log likelihood = -29311.192
Iteration 35: (EM) log likelihood = -29292.658
Iteration 36: (EM) log likelihood = -29276.424
Iteration 37: (EM) log likelihood = -29261.864
Iteration 38: (EM) log likelihood = -29248.886
Iteration 39: (EM) log likelihood = -29236.607
Iteration 40: (EM) log likelihood = -29225.641
Iteration 41: (EM) log likelihood = -29213.803
Iteration 42: (EM) log likelihood = -29200.511
Iteration 43: (EM) log likelihood = -29186.248
Iteration 44: (EM) log likelihood = -29172.97
Iteration 45: (EM) log likelihood = -29160.833
Iteration 46: (EM) log likelihood = -29148.753
Iteration 47: (EM) log likelihood = -29135.852
Iteration 48: (EM) log likelihood = -29123.697
Iteration 49: (EM) log likelihood = -29110.944
Iteration 50: (EM) log likelihood = -29096.181
Iteration 51: (EM) log likelihood = -29079.147
Iteration 52: (EM) log likelihood = -29059.004
Iteration 53: (EM) log likelihood = -29036.683
Iteration 54: (EM) log likelihood = -29013.775
Iteration 55: (EM) log likelihood = -28991.442
Iteration 56: (EM) log likelihood = -28971.867
Iteration 57: (EM) log likelihood = -28954.199
Iteration 58: (EM) log likelihood = -28936.82
Iteration 59: (EM) log likelihood = -28918.189
Iteration 60: (EM) log likelihood = -28900.567
Iteration 61: (EM) log likelihood = -28886.163
Iteration 62: (EM) log likelihood = -28876.136
Iteration 63: (EM) log likelihood = -28869.414
Iteration 64: (EM) log likelihood = -28865.296
Iteration 65: (EM) log likelihood = -28863.096
Iteration 66: (EM) log likelihood = -28862.163
Iteration 67: (EM) log likelihood = -28862.106
Iteration 68: (EM) log likelihood = -28862.509
Iteration 69: (EM) log likelihood = -28863.453
Iteration 70: (EM) log likelihood = -28864.696
Iteration 71: (EM) log likelihood = -28866.215
Iteration 72: (EM) log likelihood = -28867.974
Iteration 73: (EM) log likelihood = -28869.907
Iteration 74: (EM) log likelihood = -28871.901
Iteration 75: (EM) log likelihood = -28873.67
Iteration 76: (EM) log likelihood = -28875.473
Iteration 77: (EM) log likelihood = -28877.185
Iteration 78: (EM) log likelihood = -28878.905
Iteration 79: (EM) log likelihood = -28880.374
Iteration 80: (EM) log likelihood = -28881.602
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7869.3246
Iteration 1: (class) log likelihood = -7869.3246
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29642.58
Iteration 1: (outcome) log likelihood = -29217.144
Iteration 2: (outcome) log likelihood = -29128.911
Iteration 3: (outcome) log likelihood = -29110.837
Iteration 4: (outcome) log likelihood = -29106.569
Iteration 5: (outcome) log likelihood = -29105.729
Iteration 6: (outcome) log likelihood = -29105.579
Iteration 7: (outcome) log likelihood = -29105.545
Iteration 8: (outcome) log likelihood = -29105.537
Iteration 9: (outcome) log likelihood = -29105.535
Iteration 10: (outcome) log likelihood = -29105.535
Iteration 11: (outcome) log likelihood = -29105.535
Iteration 12: (outcome) log likelihood = -29105.535
Refining starting values:
Iteration 0: (EM) log likelihood = -36943.156
Iteration 1: (EM) log likelihood = -36797.894
Iteration 2: (EM) log likelihood = -36267.339
Iteration 3: (EM) log likelihood = -35089.66
Iteration 4: (EM) log likelihood = -33972.886
Iteration 5: (EM) log likelihood = -33273.714
Iteration 6: (EM) log likelihood = -32762.439
Iteration 7: (EM) log likelihood = -32327.333
Iteration 8: (EM) log likelihood = -31955.601
Iteration 9: (EM) log likelihood = -31639.51
Iteration 10: (EM) log likelihood = -31363.935
Iteration 11: (EM) log likelihood = -31122.222
Iteration 12: (EM) log likelihood = -30907.803
Iteration 13: (EM) log likelihood = -30714.217
Iteration 14: (EM) log likelihood = -30538.028
Iteration 15: (EM) log likelihood = -30377.517
Iteration 16: (EM) log likelihood = -30230.738
Iteration 17: (EM) log likelihood = -30092.193
Iteration 18: (EM) log likelihood = -29963.098
Iteration 19: (EM) log likelihood = -29844.472
Iteration 20: (EM) log likelihood = -29738.109
Iteration 21: (EM) log likelihood = -29645.028
Iteration 22: (EM) log likelihood = -29563.886
Iteration 23: (EM) log likelihood = -29496.729
Iteration 24: (EM) log likelihood = -29441.502
Iteration 25: (EM) log likelihood = -29393.878
Iteration 26: (EM) log likelihood = -29352.324
Iteration 27: (EM) log likelihood = -29315.78
Iteration 28: (EM) log likelihood = -29283.185
Iteration 29: (EM) log likelihood = -29252.647
Iteration 30: (EM) log likelihood = -29223.363
Iteration 31: (EM) log likelihood = -29195.883
Iteration 32: (EM) log likelihood = -29168.762
Iteration 33: (EM) log likelihood = -29142.266
Iteration 34: (EM) log likelihood = -29117.018
Iteration 35: (EM) log likelihood = -29091.777
Iteration 36: (EM) log likelihood = -29067.358
Iteration 37: (EM) log likelihood = -29045.353
Iteration 38: (EM) log likelihood = -29023.129
Iteration 39: (EM) log likelihood = -29002.727
Iteration 40: (EM) log likelihood = -28983.964
Iteration 41: (EM) log likelihood = -28965.845
Iteration 42: (EM) log likelihood = -28948.841
Iteration 43: (EM) log likelihood = -28933.209
Iteration 44: (EM) log likelihood = -28919.75
Iteration 45: (EM) log likelihood = -28905.956
Iteration 46: (EM) log likelihood = -28894.197
Iteration 47: (EM) log likelihood = -28882.689
Iteration 48: (EM) log likelihood = -28871.581
Iteration 49: (EM) log likelihood = -28859.984
Iteration 50: (EM) log likelihood = -28850.473
Iteration 51: (EM) log likelihood = -28841.664
Iteration 52: (EM) log likelihood = -28831.813
Iteration 53: (EM) log likelihood = -28822.763
Iteration 54: (EM) log likelihood = -28814.721
Iteration 55: (EM) log likelihood = -28805.131
Iteration 56: (EM) log likelihood = -28795.774
Iteration 57: (EM) log likelihood = -28785.937
Iteration 58: (EM) log likelihood = -28774.995
Iteration 59: (EM) log likelihood = -28764.057
Iteration 60: (EM) log likelihood = -28751.921
Iteration 61: (EM) log likelihood = -28739.083
Iteration 62: (EM) log likelihood = -28726.635
Iteration 63: (EM) log likelihood = -28713.366
Iteration 64: (EM) log likelihood = -28700.673
Iteration 65: (EM) log likelihood = -28689.257
Iteration 66: (EM) log likelihood = -28678.676
Iteration 67: (EM) log likelihood = -28667.744
Iteration 68: (EM) log likelihood = -28657.788
Iteration 69: (EM) log likelihood = -28648.121
Iteration 70: (EM) log likelihood = -28638.872
Iteration 71: (EM) log likelihood = -28629.931
Iteration 72: (EM) log likelihood = -28621.533
Iteration 73: (EM) log likelihood = -28614.091
Iteration 74: (EM) log likelihood = -28607.462
Iteration 75: (EM) log likelihood = -28600.954
Iteration 76: (EM) log likelihood = -28594.107
Iteration 77: (EM) log likelihood = -28588.744
Iteration 78: (EM) log likelihood = -28582.228
Iteration 79: (EM) log likelihood = -28575.459
Iteration 80: (EM) log likelihood = -28568.816
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7873.3537
Iteration 1: (class) log likelihood = -7873.3537
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29971.227
Iteration 1: (outcome) log likelihood = -29289.136
Iteration 2: (outcome) log likelihood = -29132.038
Iteration 3: (outcome) log likelihood = -29104.676
Iteration 4: (outcome) log likelihood = -29098.088
Iteration 5: (outcome) log likelihood = -29096.792
Iteration 6: (outcome) log likelihood = -29096.581
Iteration 7: (outcome) log likelihood = -29096.53
Iteration 8: (outcome) log likelihood = -29096.519
Iteration 9: (outcome) log likelihood = -29096.517
Iteration 10: (outcome) log likelihood = -29096.516
Iteration 11: (outcome) log likelihood = -29096.516
Iteration 12: (outcome) log likelihood = -29096.516
Refining starting values:
Iteration 0: (EM) log likelihood = -36941.083
Iteration 1: (EM) log likelihood = -36831.143
Iteration 2: (EM) log likelihood = -36475.588
Iteration 3: (EM) log likelihood = -35610.07
Iteration 4: (EM) log likelihood = -34428.175
Iteration 5: (EM) log likelihood = -33479.683
Iteration 6: (EM) log likelihood = -32796.323
Iteration 7: (EM) log likelihood = -32275.126
Iteration 8: (EM) log likelihood = -31861.15
Iteration 9: (EM) log likelihood = -31501.212
Iteration 10: (EM) log likelihood = -31177.382
Iteration 11: (EM) log likelihood = -30885.628
Iteration 12: (EM) log likelihood = -30623.868
Iteration 13: (EM) log likelihood = -30394.663
Iteration 14: (EM) log likelihood = -30192.696
Iteration 15: (EM) log likelihood = -30018.938
Iteration 16: (EM) log likelihood = -29869.102
Iteration 17: (EM) log likelihood = -29742.409
Iteration 18: (EM) log likelihood = -29638.279
Iteration 19: (EM) log likelihood = -29550.63
Iteration 20: (EM) log likelihood = -29478.379
Iteration 21: (EM) log likelihood = -29415.422
Iteration 22: (EM) log likelihood = -29359.23
Iteration 23: (EM) log likelihood = -29305.219
Iteration 24: (EM) log likelihood = -29254.562
Iteration 25: (EM) log likelihood = -29205.502
Iteration 26: (EM) log likelihood = -29159.221
Iteration 27: (EM) log likelihood = -29114.54
Iteration 28: (EM) log likelihood = -29067.996
Iteration 29: (EM) log likelihood = -29025.346
Iteration 30: (EM) log likelihood = -28986.125
Iteration 31: (EM) log likelihood = -28945.953
Iteration 32: (EM) log likelihood = -28911.013
Iteration 33: (EM) log likelihood = -28878.155
Iteration 34: (EM) log likelihood = -28851.369
Iteration 35: (EM) log likelihood = -28822.442
Iteration 36: (EM) log likelihood = -28795.798
Iteration 37: (EM) log likelihood = -28771.283
Iteration 38: (EM) log likelihood = -28748.721
Iteration 39: (EM) log likelihood = -28728.031
Iteration 40: (EM) log likelihood = -28710.482
Iteration 41: (EM) log likelihood = -28693.891
Iteration 42: (EM) log likelihood = -28685.7
Iteration 43: (EM) log likelihood = -28676.279
Iteration 44: (EM) log likelihood = -28660.381
Iteration 45: (EM) log likelihood = -28647.51
Iteration 46: (EM) log likelihood = -28635.084
Iteration 47: (EM) log likelihood = -28626.997
Iteration 48: (EM) log likelihood = -28617.569
Iteration 49: (EM) log likelihood = -28609.354
Iteration 50: (EM) log likelihood = -28598.19
Iteration 51: (EM) log likelihood = -28593.318
Iteration 52: (EM) log likelihood = -28589.467
Iteration 53: (EM) log likelihood = -28584.665
Iteration 54: (EM) log likelihood = -28581.372
Iteration 55: (EM) log likelihood = -28573.872
Iteration 56: (EM) log likelihood = -28570.361
Iteration 57: (EM) log likelihood = -28565.885
Iteration 58: (EM) log likelihood = -28563.151
Iteration 59: (EM) log likelihood = -28560.053
Iteration 60: (EM) log likelihood = -28557.108
Iteration 61: (EM) log likelihood = -28552.688
Iteration 62: (EM) log likelihood = -28549.272
Iteration 63: (EM) log likelihood = -28546.804
Iteration 64: (EM) log likelihood = -28544.374
Iteration 65: (EM) log likelihood = -28542.393
Iteration 66: (EM) log likelihood = -28540.038
Iteration 67: (EM) log likelihood = -28537.408
Iteration 68: (EM) log likelihood = -28535.521
Iteration 69: (EM) log likelihood = -28534.281
Iteration 70: (EM) log likelihood = -28532.444
Iteration 71: (EM) log likelihood = -28530.828
Iteration 72: (EM) log likelihood = -28528.777
Iteration 73: (EM) log likelihood = -28527.614
Iteration 74: (EM) log likelihood = -28526.106
Iteration 75: (EM) log likelihood = -28524.489
Iteration 76: (EM) log likelihood = -28523.442
Iteration 77: (EM) log likelihood = -28521.946
Iteration 78: (EM) log likelihood = -28520.334
Iteration 79: (EM) log likelihood = -28518.465
Iteration 80: (EM) log likelihood = -28517.18
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7870.8467
Iteration 1: (class) log likelihood = -7870.8467
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29543.715
Iteration 1: (outcome) log likelihood = -29161.857
Iteration 2: (outcome) log likelihood = -29114.263
Iteration 3: (outcome) log likelihood = -29099.023
Iteration 4: (outcome) log likelihood = -29096.18
Iteration 5: (outcome) log likelihood = -29095.477
Iteration 6: (outcome) log likelihood = -29095.357
Iteration 7: (outcome) log likelihood = -29095.329
Iteration 8: (outcome) log likelihood = -29095.322
Iteration 9: (outcome) log likelihood = -29095.321
Iteration 10: (outcome) log likelihood = -29095.32
Iteration 11: (outcome) log likelihood = -29095.32
Iteration 12: (outcome) log likelihood = -29095.32
Refining starting values:
Iteration 0: (EM) log likelihood = -36934.38
Iteration 1: (EM) log likelihood = -36782.922
Iteration 2: (EM) log likelihood = -36239.155
Iteration 3: (EM) log likelihood = -35098.222
Iteration 4: (EM) log likelihood = -33995.062
Iteration 5: (EM) log likelihood = -33243.916
Iteration 6: (EM) log likelihood = -32661.005
Iteration 7: (EM) log likelihood = -32184.386
Iteration 8: (EM) log likelihood = -31805.204
Iteration 9: (EM) log likelihood = -31488.703
Iteration 10: (EM) log likelihood = -31199.371
Iteration 11: (EM) log likelihood = -30924.208
Iteration 12: (EM) log likelihood = -30659.71
Iteration 13: (EM) log likelihood = -30417.54
Iteration 14: (EM) log likelihood = -30199.389
Iteration 15: (EM) log likelihood = -30008.972
Iteration 16: (EM) log likelihood = -29843.161
Iteration 17: (EM) log likelihood = -29696.427
Iteration 18: (EM) log likelihood = -29566.517
Iteration 19: (EM) log likelihood = -29453.452
Iteration 20: (EM) log likelihood = -29358.358
Iteration 21: (EM) log likelihood = -29283.216
Iteration 22: (EM) log likelihood = -29223.927
Iteration 23: (EM) log likelihood = -29177.955
Iteration 24: (EM) log likelihood = -29138.852
Iteration 25: (EM) log likelihood = -29105.846
Iteration 26: (EM) log likelihood = -29076.937
Iteration 27: (EM) log likelihood = -29051.953
Iteration 28: (EM) log likelihood = -29030.27
Iteration 29: (EM) log likelihood = -29012.885
Iteration 30: (EM) log likelihood = -28996.859
Iteration 31: (EM) log likelihood = -28983.003
Iteration 32: (EM) log likelihood = -28970.148
Iteration 33: (EM) log likelihood = -28958.342
Iteration 34: (EM) log likelihood = -28947.153
Iteration 35: (EM) log likelihood = -28937.014
Iteration 36: (EM) log likelihood = -28926.613
Iteration 37: (EM) log likelihood = -28916.326
Iteration 38: (EM) log likelihood = -28907.36
Iteration 39: (EM) log likelihood = -28899.68
Iteration 40: (EM) log likelihood = -28891.567
Iteration 41: (EM) log likelihood = -28882.857
Iteration 42: (EM) log likelihood = -28874.908
Iteration 43: (EM) log likelihood = -28866.813
Iteration 44: (EM) log likelihood = -28860.13
Iteration 45: (EM) log likelihood = -28851.383
Iteration 46: (EM) log likelihood = -28842.892
Iteration 47: (EM) log likelihood = -28835.761
Iteration 48: (EM) log likelihood = -28827.826
Iteration 49: (EM) log likelihood = -28819.48
Iteration 50: (EM) log likelihood = -28812.273
Iteration 51: (EM) log likelihood = -28804.71
Iteration 52: (EM) log likelihood = -28798.243
Iteration 53: (EM) log likelihood = -28790.403
Iteration 54: (EM) log likelihood = -28782.53
Iteration 55: (EM) log likelihood = -28773.18
Iteration 56: (EM) log likelihood = -28765.753
Iteration 57: (EM) log likelihood = -28760.154
Iteration 58: (EM) log likelihood = -28752.327
Iteration 59: (EM) log likelihood = -28745.029
Iteration 60: (EM) log likelihood = -28738.051
Iteration 61: (EM) log likelihood = -28730.337
Iteration 62: (EM) log likelihood = -28722.911
Iteration 63: (EM) log likelihood = -28716.863
Iteration 64: (EM) log likelihood = -28709.785
Iteration 65: (EM) log likelihood = -28702.229
Iteration 66: (EM) log likelihood = -28695.344
Iteration 67: (EM) log likelihood = -28688.244
Iteration 68: (EM) log likelihood = -28680.846
Iteration 69: (EM) log likelihood = -28674.562
Iteration 70: (EM) log likelihood = -28667.239
Iteration 71: (EM) log likelihood = -28660.887
Iteration 72: (EM) log likelihood = -28654.166
Iteration 73: (EM) log likelihood = -28647.521
Iteration 74: (EM) log likelihood = -28641.052
Iteration 75: (EM) log likelihood = -28633.345
Iteration 76: (EM) log likelihood = -28626.625
Iteration 77: (EM) log likelihood = -28620.34
Iteration 78: (EM) log likelihood = -28614.6
Iteration 79: (EM) log likelihood = -28608.849
Iteration 80: (EM) log likelihood = -28602.876
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7872.5025
Iteration 1: (class) log likelihood = -7872.5025
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29971.352
Iteration 1: (outcome) log likelihood = -29236.518
Iteration 2: (outcome) log likelihood = -29111.929
Iteration 3: (outcome) log likelihood = -29085.749
Iteration 4: (outcome) log likelihood = -29079.538
Iteration 5: (outcome) log likelihood = -29078.322
Iteration 6: (outcome) log likelihood = -29078.113
Iteration 7: (outcome) log likelihood = -29078.065
Iteration 8: (outcome) log likelihood = -29078.053
Iteration 9: (outcome) log likelihood = -29078.051
Iteration 10: (outcome) log likelihood = -29078.051
Iteration 11: (outcome) log likelihood = -29078.051
Iteration 12: (outcome) log likelihood = -29078.051
Refining starting values:
Iteration 0: (EM) log likelihood = -36922.841
Iteration 1: (EM) log likelihood = -36820.244
Iteration 2: (EM) log likelihood = -36519.687
Iteration 3: (EM) log likelihood = -35827.776
Iteration 4: (EM) log likelihood = -34825.257
Iteration 5: (EM) log likelihood = -33852.458
Iteration 6: (EM) log likelihood = -33007.461
Iteration 7: (EM) log likelihood = -32317.565
Iteration 8: (EM) log likelihood = -31785.984
Iteration 9: (EM) log likelihood = -31366.217
Iteration 10: (EM) log likelihood = -31027.022
Iteration 11: (EM) log likelihood = -30764.637
Iteration 12: (EM) log likelihood = -30552.931
Iteration 13: (EM) log likelihood = -30375.125
Iteration 14: (EM) log likelihood = -30219.259
Iteration 15: (EM) log likelihood = -30078.079
Iteration 16: (EM) log likelihood = -29948.491
Iteration 17: (EM) log likelihood = -29834.507
Iteration 18: (EM) log likelihood = -29736.322
Iteration 19: (EM) log likelihood = -29654.403
Iteration 20: (EM) log likelihood = -29587.505
Iteration 21: (EM) log likelihood = -29531.444
Iteration 22: (EM) log likelihood = -29482.132
Iteration 23: (EM) log likelihood = -29441.103
Iteration 24: (EM) log likelihood = -29405.967
Iteration 25: (EM) log likelihood = -29375.557
Iteration 26: (EM) log likelihood = -29349.328
Iteration 27: (EM) log likelihood = -29326.546
Iteration 28: (EM) log likelihood = -29306.447
Iteration 29: (EM) log likelihood = -29288.902
Iteration 30: (EM) log likelihood = -29272.657
Iteration 31: (EM) log likelihood = -29259.519
Iteration 32: (EM) log likelihood = -29245.788
Iteration 33: (EM) log likelihood = -29233.429
Iteration 34: (EM) log likelihood = -29221.741
Iteration 35: (EM) log likelihood = -29210.808
Iteration 36: (EM) log likelihood = -29201.031
Iteration 37: (EM) log likelihood = -29191.387
Iteration 38: (EM) log likelihood = -29181.824
Iteration 39: (EM) log likelihood = -29173.233
Iteration 40: (EM) log likelihood = -29164.727
Iteration 41: (EM) log likelihood = -29156.577
Iteration 42: (EM) log likelihood = -29148.959
Iteration 43: (EM) log likelihood = -29140.948
Iteration 44: (EM) log likelihood = -29129.747
Iteration 45: (EM) log likelihood = -29119.134
Iteration 46: (EM) log likelihood = -29113.007
Iteration 47: (EM) log likelihood = -29106.07
Iteration 48: (EM) log likelihood = -29098.453
Iteration 49: (EM) log likelihood = -29091.92
Iteration 50: (EM) log likelihood = -29085.218
Iteration 51: (EM) log likelihood = -29078.792
Iteration 52: (EM) log likelihood = -29071.662
Iteration 53: (EM) log likelihood = -29062.524
Iteration 54: (EM) log likelihood = -29055.446
Iteration 55: (EM) log likelihood = -29048.376
Iteration 56: (EM) log likelihood = -29041.016
Iteration 57: (EM) log likelihood = -29033.688
Iteration 58: (EM) log likelihood = -29027.112
Iteration 59: (EM) log likelihood = -29018.096
Iteration 60: (EM) log likelihood = -29011.731
Iteration 61: (EM) log likelihood = -29005.131
Iteration 62: (EM) log likelihood = -28998.272
Iteration 63: (EM) log likelihood = -28990.682
Iteration 64: (EM) log likelihood = -28982.878
Iteration 65: (EM) log likelihood = -28975.812
Iteration 66: (EM) log likelihood = -28968.686
Iteration 67: (EM) log likelihood = -28961.955
Iteration 68: (EM) log likelihood = -28955.057
Iteration 69: (EM) log likelihood = -28947.237
Iteration 70: (EM) log likelihood = -28940.238
Iteration 71: (EM) log likelihood = -28933.656
Iteration 72: (EM) log likelihood = -28926.138
Iteration 73: (EM) log likelihood = -28919.569
Iteration 74: (EM) log likelihood = -28912.531
Iteration 75: (EM) log likelihood = -28906.355
Iteration 76: (EM) log likelihood = -28900.182
Iteration 77: (EM) log likelihood = -28893.269
Iteration 78: (EM) log likelihood = -28886.351
Iteration 79: (EM) log likelihood = -28879.525
Iteration 80: (EM) log likelihood = -28874.24
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7876.0056
Iteration 1: (class) log likelihood = -7876.0056
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30170.28
Iteration 1: (outcome) log likelihood = -29314.547
Iteration 2: (outcome) log likelihood = -29110.4
Iteration 3: (outcome) log likelihood = -29074.95
Iteration 4: (outcome) log likelihood = -29068.79
Iteration 5: (outcome) log likelihood = -29067.382
Iteration 6: (outcome) log likelihood = -29067.042
Iteration 7: (outcome) log likelihood = -29066.971
Iteration 8: (outcome) log likelihood = -29066.956
Iteration 9: (outcome) log likelihood = -29066.952
Iteration 10: (outcome) log likelihood = -29066.952
Iteration 11: (outcome) log likelihood = -29066.951
Iteration 12: (outcome) log likelihood = -29066.951
Refining starting values:
Iteration 0: (EM) log likelihood = -36894.628
Iteration 1: (EM) log likelihood = -36716.225
Iteration 2: (EM) log likelihood = -36183.735
Iteration 3: (EM) log likelihood = -35113.379
Iteration 4: (EM) log likelihood = -33889.306
Iteration 5: (EM) log likelihood = -32917.782
Iteration 6: (EM) log likelihood = -32237.674
Iteration 7: (EM) log likelihood = -31784.167
Iteration 8: (EM) log likelihood = -31466.658
Iteration 9: (EM) log likelihood = -31233.23
Iteration 10: (EM) log likelihood = -31045.832
Iteration 11: (EM) log likelihood = -30882.586
Iteration 12: (EM) log likelihood = -30735.024
Iteration 13: (EM) log likelihood = -30597.475
Iteration 14: (EM) log likelihood = -30470.979
Iteration 15: (EM) log likelihood = -30355.886
Iteration 16: (EM) log likelihood = -30246.976
Iteration 17: (EM) log likelihood = -30147.799
Iteration 18: (EM) log likelihood = -30052.449
Iteration 19: (EM) log likelihood = -29962.843
Iteration 20: (EM) log likelihood = -29880.469
Iteration 21: (EM) log likelihood = -29802.855
Iteration 22: (EM) log likelihood = -29730.526
Iteration 23: (EM) log likelihood = -29662.802
Iteration 24: (EM) log likelihood = -29602.439
Iteration 25: (EM) log likelihood = -29547.554
Iteration 26: (EM) log likelihood = -29496.179
Iteration 27: (EM) log likelihood = -29449.704
Iteration 28: (EM) log likelihood = -29402.154
Iteration 29: (EM) log likelihood = -29361.549
Iteration 30: (EM) log likelihood = -29322.112
Iteration 31: (EM) log likelihood = -29283.435
Iteration 32: (EM) log likelihood = -29243.135
Iteration 33: (EM) log likelihood = -29203.931
Iteration 34: (EM) log likelihood = -29166.524
Iteration 35: (EM) log likelihood = -29132.024
Iteration 36: (EM) log likelihood = -29101.258
Iteration 37: (EM) log likelihood = -29074.432
Iteration 38: (EM) log likelihood = -29049.85
Iteration 39: (EM) log likelihood = -29024.982
Iteration 40: (EM) log likelihood = -29002.474
Iteration 41: (EM) log likelihood = -28983.113
Iteration 42: (EM) log likelihood = -28964.792
Iteration 43: (EM) log likelihood = -28947.206
Iteration 44: (EM) log likelihood = -28930.222
Iteration 45: (EM) log likelihood = -28913.949
Iteration 46: (EM) log likelihood = -28901.341
Iteration 47: (EM) log likelihood = -28887.872
Iteration 48: (EM) log likelihood = -28875.898
Iteration 49: (EM) log likelihood = -28868.635
Iteration 50: (EM) log likelihood = -28857.878
Iteration 51: (EM) log likelihood = -28848.578
Iteration 52: (EM) log likelihood = -28842.411
Iteration 53: (EM) log likelihood = -28835.467
Iteration 54: (EM) log likelihood = -28829.366
Iteration 55: (EM) log likelihood = -28824.421
Iteration 56: (EM) log likelihood = -28820.7
Iteration 57: (EM) log likelihood = -28815.999
Iteration 58: (EM) log likelihood = -28811.879
Iteration 59: (EM) log likelihood = -28808.131
Iteration 60: (EM) log likelihood = -28803.456
Iteration 61: (EM) log likelihood = -28802.533
Iteration 62: (EM) log likelihood = -28795.795
Iteration 63: (EM) log likelihood = -28795.193
Iteration 64: (EM) log likelihood = -28793.839
Iteration 65: (EM) log likelihood = -28792.478
Iteration 66: (EM) log likelihood = -28791.531
Iteration 67: (EM) log likelihood = -28790.059
Iteration 68: (EM) log likelihood = -28787.576
Iteration 69: (EM) log likelihood = -28786.588
Iteration 70: (EM) log likelihood = -28785.636
Iteration 71: (EM) log likelihood = -28785.096
Iteration 72: (EM) log likelihood = -28784.629
Iteration 73: (EM) log likelihood = -28784.103
Iteration 74: (EM) log likelihood = -28783.578
Iteration 75: (EM) log likelihood = -28782.819
Iteration 76: (EM) log likelihood = -28782.235
Iteration 77: (EM) log likelihood = -28781.126
Iteration 78: (EM) log likelihood = -28780.242
Iteration 79: (EM) log likelihood = -28779.035
Iteration 80: (EM) log likelihood = -28778.043
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7877.088
Iteration 1: (class) log likelihood = -7877.088
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30287.248
Iteration 1: (outcome) log likelihood = -29291.664
Iteration 2: (outcome) log likelihood = -29132.049
Iteration 3: (outcome) log likelihood = -29092.925
Iteration 4: (outcome) log likelihood = -29084.593
Iteration 5: (outcome) log likelihood = -29082.636
Iteration 6: (outcome) log likelihood = -29082.184
Iteration 7: (outcome) log likelihood = -29082.089
Iteration 8: (outcome) log likelihood = -29082.072
Iteration 9: (outcome) log likelihood = -29082.07
Iteration 10: (outcome) log likelihood = -29082.07
Iteration 11: (outcome) log likelihood = -29082.07
Iteration 12: (outcome) log likelihood = -29082.07
Refining starting values:
Iteration 0: (EM) log likelihood = -36941.666
Iteration 1: (EM) log likelihood = -36864.671
Iteration 2: (EM) log likelihood = -36609.112
Iteration 3: (EM) log likelihood = -35940.184
Iteration 4: (EM) log likelihood = -34874.766
Iteration 5: (EM) log likelihood = -33863.098
Iteration 6: (EM) log likelihood = -33102.18
Iteration 7: (EM) log likelihood = -32472.205
Iteration 8: (EM) log likelihood = -31891.918
Iteration 9: (EM) log likelihood = -31398.417
Iteration 10: (EM) log likelihood = -31014.873
Iteration 11: (EM) log likelihood = -30709.73
Iteration 12: (EM) log likelihood = -30451.477
Iteration 13: (EM) log likelihood = -30232.506
Iteration 14: (EM) log likelihood = -30050.407
Iteration 15: (EM) log likelihood = -29897.722
Iteration 16: (EM) log likelihood = -29763.757
Iteration 17: (EM) log likelihood = -29648.072
Iteration 18: (EM) log likelihood = -29549.091
Iteration 19: (EM) log likelihood = -29468.835
Iteration 20: (EM) log likelihood = -29403.635
Iteration 21: (EM) log likelihood = -29347.421
Iteration 22: (EM) log likelihood = -29305.404
Iteration 23: (EM) log likelihood = -29268.15
Iteration 24: (EM) log likelihood = -29237.368
Iteration 25: (EM) log likelihood = -29209.024
Iteration 26: (EM) log likelihood = -29184.41
Iteration 27: (EM) log likelihood = -29161.786
Iteration 28: (EM) log likelihood = -29141.751
Iteration 29: (EM) log likelihood = -29122.789
Iteration 30: (EM) log likelihood = -29104.261
Iteration 31: (EM) log likelihood = -29087.463
Iteration 32: (EM) log likelihood = -29071.002
Iteration 33: (EM) log likelihood = -29054.25
Iteration 34: (EM) log likelihood = -29038.036
Iteration 35: (EM) log likelihood = -29022.15
Iteration 36: (EM) log likelihood = -29007.923
Iteration 37: (EM) log likelihood = -28992.132
Iteration 38: (EM) log likelihood = -28977.507
Iteration 39: (EM) log likelihood = -28962.672
Iteration 40: (EM) log likelihood = -28948.133
Iteration 41: (EM) log likelihood = -28934.14
Iteration 42: (EM) log likelihood = -28918.672
Iteration 43: (EM) log likelihood = -28904.159
Iteration 44: (EM) log likelihood = -28889.939
Iteration 45: (EM) log likelihood = -28874.184
Iteration 46: (EM) log likelihood = -28859.357
Iteration 47: (EM) log likelihood = -28844.256
Iteration 48: (EM) log likelihood = -28827.599
Iteration 49: (EM) log likelihood = -28811.717
Iteration 50: (EM) log likelihood = -28795.304
Iteration 51: (EM) log likelihood = -28778.654
Iteration 52: (EM) log likelihood = -28761.745
Iteration 53: (EM) log likelihood = -28744.471
Iteration 54: (EM) log likelihood = -28726.605
Iteration 55: (EM) log likelihood = -28709.25
Iteration 56: (EM) log likelihood = -28691.419
Iteration 57: (EM) log likelihood = -28672.254
Iteration 58: (EM) log likelihood = -28653.571
Iteration 59: (EM) log likelihood = -28633.755
Iteration 60: (EM) log likelihood = -28614.964
Iteration 61: (EM) log likelihood = -28597.006
Iteration 62: (EM) log likelihood = -28580.459
Iteration 63: (EM) log likelihood = -28563.882
Iteration 64: (EM) log likelihood = -28548.549
Iteration 65: (EM) log likelihood = -28533.205
Iteration 66: (EM) log likelihood = -28518.906
Iteration 67: (EM) log likelihood = -28506.823
Iteration 68: (EM) log likelihood = -28495.296
Iteration 69: (EM) log likelihood = -28482.915
Iteration 70: (EM) log likelihood = -28472.923
Iteration 71: (EM) log likelihood = -28463.848
Iteration 72: (EM) log likelihood = -28454.471
Iteration 73: (EM) log likelihood = -28447.109
Iteration 74: (EM) log likelihood = -28439.671
Iteration 75: (EM) log likelihood = -28432.791
Iteration 76: (EM) log likelihood = -28426.402
Iteration 77: (EM) log likelihood = -28417.629
Iteration 78: (EM) log likelihood = -28408.083
Iteration 79: (EM) log likelihood = -28403.548
Iteration 80: (EM) log likelihood = -28398.312
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7876.7071
Iteration 1: (class) log likelihood = -7876.7071
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29798.44
Iteration 1: (outcome) log likelihood = -29234.726
Iteration 2: (outcome) log likelihood = -29114.262
Iteration 3: (outcome) log likelihood = -29095.835
Iteration 4: (outcome) log likelihood = -29091.456
Iteration 5: (outcome) log likelihood = -29090.531
Iteration 6: (outcome) log likelihood = -29090.339
Iteration 7: (outcome) log likelihood = -29090.296
Iteration 8: (outcome) log likelihood = -29090.285
Iteration 9: (outcome) log likelihood = -29090.283
Iteration 10: (outcome) log likelihood = -29090.282
Iteration 11: (outcome) log likelihood = -29090.282
Iteration 12: (outcome) log likelihood = -29090.282
Refining starting values:
Iteration 0: (EM) log likelihood = -36912.465
Iteration 1: (EM) log likelihood = -36723.893
Iteration 2: (EM) log likelihood = -36181.605
Iteration 3: (EM) log likelihood = -35217.459
Iteration 4: (EM) log likelihood = -34237.91
Iteration 5: (EM) log likelihood = -33443.179
Iteration 6: (EM) log likelihood = -32742.654
Iteration 7: (EM) log likelihood = -32107.136
Iteration 8: (EM) log likelihood = -31583.446
Iteration 9: (EM) log likelihood = -31203.092
Iteration 10: (EM) log likelihood = -30938.109
Iteration 11: (EM) log likelihood = -30741.627
Iteration 12: (EM) log likelihood = -30580.767
Iteration 13: (EM) log likelihood = -30435.882
Iteration 14: (EM) log likelihood = -30297.973
Iteration 15: (EM) log likelihood = -30167.718
Iteration 16: (EM) log likelihood = -30043.36
Iteration 17: (EM) log likelihood = -29926.896
Iteration 18: (EM) log likelihood = -29817.649
Iteration 19: (EM) log likelihood = -29718.767
Iteration 20: (EM) log likelihood = -29626.081
Iteration 21: (EM) log likelihood = -29541.742
Iteration 22: (EM) log likelihood = -29465.552
Iteration 23: (EM) log likelihood = -29396.616
Iteration 24: (EM) log likelihood = -29332.469
Iteration 25: (EM) log likelihood = -29273.839
Iteration 26: (EM) log likelihood = -29218.326
Iteration 27: (EM) log likelihood = -29167.223
Iteration 28: (EM) log likelihood = -29119.735
Iteration 29: (EM) log likelihood = -29073.654
Iteration 30: (EM) log likelihood = -29030.81
Iteration 31: (EM) log likelihood = -28991.466
Iteration 32: (EM) log likelihood = -28954.102
Iteration 33: (EM) log likelihood = -28921.12
Iteration 34: (EM) log likelihood = -28891.156
Iteration 35: (EM) log likelihood = -28864.949
Iteration 36: (EM) log likelihood = -28839.98
Iteration 37: (EM) log likelihood = -28819.713
Iteration 38: (EM) log likelihood = -28802.061
Iteration 39: (EM) log likelihood = -28786.211
Iteration 40: (EM) log likelihood = -28772.182
Iteration 41: (EM) log likelihood = -28756.477
Iteration 42: (EM) log likelihood = -28738.512
Iteration 43: (EM) log likelihood = -28719.186
Iteration 44: (EM) log likelihood = -28695.612
Iteration 45: (EM) log likelihood = -28675.648
Iteration 46: (EM) log likelihood = -28656.997
Iteration 47: (EM) log likelihood = -28641.917
Iteration 48: (EM) log likelihood = -28625.052
Iteration 49: (EM) log likelihood = -28612.628
Iteration 50: (EM) log likelihood = -28603.081
Iteration 51: (EM) log likelihood = -28593.863
Iteration 52: (EM) log likelihood = -28587.649
Iteration 53: (EM) log likelihood = -28582.823
Iteration 54: (EM) log likelihood = -28578.621
Iteration 55: (EM) log likelihood = -28575.557
Iteration 56: (EM) log likelihood = -28574.008
Iteration 57: (EM) log likelihood = -28571.91
Iteration 58: (EM) log likelihood = -28570.701
Iteration 59: (EM) log likelihood = -28569.069
Iteration 60: (EM) log likelihood = -28568.476
Iteration 61: (EM) log likelihood = -28568.098
Iteration 62: (EM) log likelihood = -28567.827
Iteration 63: (EM) log likelihood = -28567.772
Iteration 64: (EM) log likelihood = -28567.555
Iteration 65: (EM) log likelihood = -28567.468
Iteration 66: (EM) log likelihood = -28567.636
Iteration 67: (EM) log likelihood = -28567.099
Iteration 68: (EM) log likelihood = -28566.418
Iteration 69: (EM) log likelihood = -28566.083
Iteration 70: (EM) log likelihood = -28565.792
Iteration 71: (EM) log likelihood = -28564.835
Iteration 72: (EM) log likelihood = -28564.549
Iteration 73: (EM) log likelihood = -28563.905
Iteration 74: (EM) log likelihood = -28563.443
Iteration 75: (EM) log likelihood = -28562.993
Iteration 76: (EM) log likelihood = -28562.527
Iteration 77: (EM) log likelihood = -28562.459
Iteration 78: (EM) log likelihood = -28562.532
Iteration 79: (EM) log likelihood = -28562.722
Iteration 80: (EM) log likelihood = -28562.832
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7876.8384
Iteration 1: (class) log likelihood = -7876.8384
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29866.754
Iteration 1: (outcome) log likelihood = -29225.162
Iteration 2: (outcome) log likelihood = -29108.889
Iteration 3: (outcome) log likelihood = -29084.037
Iteration 4: (outcome) log likelihood = -29078.472
Iteration 5: (outcome) log likelihood = -29077.302
Iteration 6: (outcome) log likelihood = -29077.11
Iteration 7: (outcome) log likelihood = -29077.064
Iteration 8: (outcome) log likelihood = -29077.054
Iteration 9: (outcome) log likelihood = -29077.052
Iteration 10: (outcome) log likelihood = -29077.051
Iteration 11: (outcome) log likelihood = -29077.051
Iteration 12: (outcome) log likelihood = -29077.051
Refining starting values:
Iteration 0: (EM) log likelihood = -36915.217
Iteration 1: (EM) log likelihood = -36774.128
Iteration 2: (EM) log likelihood = -36350.255
Iteration 3: (EM) log likelihood = -35379.176
Iteration 4: (EM) log likelihood = -34038.157
Iteration 5: (EM) log likelihood = -32919.621
Iteration 6: (EM) log likelihood = -32200.664
Iteration 7: (EM) log likelihood = -31762.032
Iteration 8: (EM) log likelihood = -31462.067
Iteration 9: (EM) log likelihood = -31214.038
Iteration 10: (EM) log likelihood = -30983.607
Iteration 11: (EM) log likelihood = -30763.682
Iteration 12: (EM) log likelihood = -30560.112
Iteration 13: (EM) log likelihood = -30383.475
Iteration 14: (EM) log likelihood = -30232.293
Iteration 15: (EM) log likelihood = -30105.354
Iteration 16: (EM) log likelihood = -29999.417
Iteration 17: (EM) log likelihood = -29905.575
Iteration 18: (EM) log likelihood = -29822.382
Iteration 19: (EM) log likelihood = -29745.269
Iteration 20: (EM) log likelihood = -29672.858
Iteration 21: (EM) log likelihood = -29601.966
Iteration 22: (EM) log likelihood = -29532.722
Iteration 23: (EM) log likelihood = -29463.436
Iteration 24: (EM) log likelihood = -29395.179
Iteration 25: (EM) log likelihood = -29326.903
Iteration 26: (EM) log likelihood = -29260.898
Iteration 27: (EM) log likelihood = -29197.79
Iteration 28: (EM) log likelihood = -29138.875
Iteration 29: (EM) log likelihood = -29083.248
Iteration 30: (EM) log likelihood = -29032.318
Iteration 31: (EM) log likelihood = -28988.004
Iteration 32: (EM) log likelihood = -28945.808
Iteration 33: (EM) log likelihood = -28908.28
Iteration 34: (EM) log likelihood = -28875.368
Iteration 35: (EM) log likelihood = -28846.015
Iteration 36: (EM) log likelihood = -28818.601
Iteration 37: (EM) log likelihood = -28796.194
Iteration 38: (EM) log likelihood = -28774.384
Iteration 39: (EM) log likelihood = -28755.346
Iteration 40: (EM) log likelihood = -28741.65
Iteration 41: (EM) log likelihood = -28725.384
Iteration 42: (EM) log likelihood = -28710.193
Iteration 43: (EM) log likelihood = -28699.322
Iteration 44: (EM) log likelihood = -28687.95
Iteration 45: (EM) log likelihood = -28679.316
Iteration 46: (EM) log likelihood = -28670.485
Iteration 47: (EM) log likelihood = -28661.975
Iteration 48: (EM) log likelihood = -28654.281
Iteration 49: (EM) log likelihood = -28649.443
Iteration 50: (EM) log likelihood = -28641.822
Iteration 51: (EM) log likelihood = -28635.759
Iteration 52: (EM) log likelihood = -28629.752
Iteration 53: (EM) log likelihood = -28624.549
Iteration 54: (EM) log likelihood = -28618.683
Iteration 55: (EM) log likelihood = -28614.699
Iteration 56: (EM) log likelihood = -28610.358
Iteration 57: (EM) log likelihood = -28604.213
Iteration 58: (EM) log likelihood = -28600.399
Iteration 59: (EM) log likelihood = -28596.145
Iteration 60: (EM) log likelihood = -28593.647
Iteration 61: (EM) log likelihood = -28589.471
Iteration 62: (EM) log likelihood = -28583.81
Iteration 63: (EM) log likelihood = -28579.756
Iteration 64: (EM) log likelihood = -28576.006
Iteration 65: (EM) log likelihood = -28571.996
Iteration 66: (EM) log likelihood = -28567.414
Iteration 67: (EM) log likelihood = -28559.128
Iteration 68: (EM) log likelihood = -28556.243
Iteration 69: (EM) log likelihood = -28550.925
Iteration 70: (EM) log likelihood = -28545.346
Iteration 71: (EM) log likelihood = -28537.976
Iteration 72: (EM) log likelihood = -28529.378
Iteration 73: (EM) log likelihood = -28521.04
Iteration 74: (EM) log likelihood = -28512.212
Iteration 75: (EM) log likelihood = -28500.961
Iteration 76: (EM) log likelihood = -28488.916
Iteration 77: (EM) log likelihood = -28476.128
Iteration 78: (EM) log likelihood = -28461.547
Iteration 79: (EM) log likelihood = -28446.22
Iteration 80: (EM) log likelihood = -28428.404
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7875.9375
Iteration 1: (class) log likelihood = -7875.9375
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29352.037
Iteration 1: (outcome) log likelihood = -29154.806
Iteration 2: (outcome) log likelihood = -29097.174
Iteration 3: (outcome) log likelihood = -29085.584
Iteration 4: (outcome) log likelihood = -29083.528
Iteration 5: (outcome) log likelihood = -29083.075
Iteration 6: (outcome) log likelihood = -29082.963
Iteration 7: (outcome) log likelihood = -29082.94
Iteration 8: (outcome) log likelihood = -29082.935
Iteration 9: (outcome) log likelihood = -29082.934
Iteration 10: (outcome) log likelihood = -29082.934
Iteration 11: (outcome) log likelihood = -29082.934
Iteration 12: (outcome) log likelihood = -29082.933
Refining starting values:
Iteration 0: (EM) log likelihood = -36942.55
Iteration 1: (EM) log likelihood = -36883.063
Iteration 2: (EM) log likelihood = -36703.534
Iteration 3: (EM) log likelihood = -36191.971
Iteration 4: (EM) log likelihood = -35155.456
Iteration 5: (EM) log likelihood = -33962.53
Iteration 6: (EM) log likelihood = -33007.957
Iteration 7: (EM) log likelihood = -32296.837
Iteration 8: (EM) log likelihood = -31770.079
Iteration 9: (EM) log likelihood = -31358.991
Iteration 10: (EM) log likelihood = -31032.706
Iteration 11: (EM) log likelihood = -30762.387
Iteration 12: (EM) log likelihood = -30518.54
Iteration 13: (EM) log likelihood = -30292.12
Iteration 14: (EM) log likelihood = -30091.577
Iteration 15: (EM) log likelihood = -29920.924
Iteration 16: (EM) log likelihood = -29777.338
Iteration 17: (EM) log likelihood = -29660.811
Iteration 18: (EM) log likelihood = -29569.546
Iteration 19: (EM) log likelihood = -29495.255
Iteration 20: (EM) log likelihood = -29433.533
Iteration 21: (EM) log likelihood = -29383.45
Iteration 22: (EM) log likelihood = -29343.84
Iteration 23: (EM) log likelihood = -29308.218
Iteration 24: (EM) log likelihood = -29277.117
Iteration 25: (EM) log likelihood = -29249.933
Iteration 26: (EM) log likelihood = -29225.862
Iteration 27: (EM) log likelihood = -29204.19
Iteration 28: (EM) log likelihood = -29184.961
Iteration 29: (EM) log likelihood = -29165.766
Iteration 30: (EM) log likelihood = -29148.599
Iteration 31: (EM) log likelihood = -29132.282
Iteration 32: (EM) log likelihood = -29115.215
Iteration 33: (EM) log likelihood = -29100.687
Iteration 34: (EM) log likelihood = -29086.314
Iteration 35: (EM) log likelihood = -29071.991
Iteration 36: (EM) log likelihood = -29058.541
Iteration 37: (EM) log likelihood = -29044.625
Iteration 38: (EM) log likelihood = -29031.559
Iteration 39: (EM) log likelihood = -29018.399
Iteration 40: (EM) log likelihood = -29005.09
Iteration 41: (EM) log likelihood = -28992.519
Iteration 42: (EM) log likelihood = -28979.316
Iteration 43: (EM) log likelihood = -28966.489
Iteration 44: (EM) log likelihood = -28955.182
Iteration 45: (EM) log likelihood = -28943.851
Iteration 46: (EM) log likelihood = -28932.438
Iteration 47: (EM) log likelihood = -28921.123
Iteration 48: (EM) log likelihood = -28909.965
Iteration 49: (EM) log likelihood = -28896.55
Iteration 50: (EM) log likelihood = -28882.674
Iteration 51: (EM) log likelihood = -28869.779
Iteration 52: (EM) log likelihood = -28857.349
Iteration 53: (EM) log likelihood = -28845.18
Iteration 54: (EM) log likelihood = -28831.611
Iteration 55: (EM) log likelihood = -28819.85
Iteration 56: (EM) log likelihood = -28808.427
Iteration 57: (EM) log likelihood = -28796.862
Iteration 58: (EM) log likelihood = -28786.481
Iteration 59: (EM) log likelihood = -28776.391
Iteration 60: (EM) log likelihood = -28766.765
Iteration 61: (EM) log likelihood = -28758.156
Iteration 62: (EM) log likelihood = -28749.257
Iteration 63: (EM) log likelihood = -28741.199
Iteration 64: (EM) log likelihood = -28734.993
Iteration 65: (EM) log likelihood = -28728.891
Iteration 66: (EM) log likelihood = -28722.048
Iteration 67: (EM) log likelihood = -28716.296
Iteration 68: (EM) log likelihood = -28710.858
Iteration 69: (EM) log likelihood = -28706.349
Iteration 70: (EM) log likelihood = -28702.173
Iteration 71: (EM) log likelihood = -28698.77
Iteration 72: (EM) log likelihood = -28694.719
Iteration 73: (EM) log likelihood = -28691.984
Iteration 74: (EM) log likelihood = -28689.465
Iteration 75: (EM) log likelihood = -28687.261
Iteration 76: (EM) log likelihood = -28684.926
Iteration 77: (EM) log likelihood = -28682.798
Iteration 78: (EM) log likelihood = -28680.854
Iteration 79: (EM) log likelihood = -28679.065
Iteration 80: (EM) log likelihood = -28677.445
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7872.2189
Iteration 1: (class) log likelihood = -7872.2189
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29527.024
Iteration 1: (outcome) log likelihood = -29176.437
Iteration 2: (outcome) log likelihood = -29115.016
Iteration 3: (outcome) log likelihood = -29100.486
Iteration 4: (outcome) log likelihood = -29097.694
Iteration 5: (outcome) log likelihood = -29097.058
Iteration 6: (outcome) log likelihood = -29096.919
Iteration 7: (outcome) log likelihood = -29096.885
Iteration 8: (outcome) log likelihood = -29096.878
Iteration 9: (outcome) log likelihood = -29096.877
Iteration 10: (outcome) log likelihood = -29096.876
Iteration 11: (outcome) log likelihood = -29096.876
Iteration 12: (outcome) log likelihood = -29096.876
Refining starting values:
Iteration 0: (EM) log likelihood = -36945.684
Iteration 1: (EM) log likelihood = -36851.638
Iteration 2: (EM) log likelihood = -36534.055
Iteration 3: (EM) log likelihood = -35725.523
Iteration 4: (EM) log likelihood = -34554.823
Iteration 5: (EM) log likelihood = -33533.793
Iteration 6: (EM) log likelihood = -32777.073
Iteration 7: (EM) log likelihood = -32234.261
Iteration 8: (EM) log likelihood = -31852.776
Iteration 9: (EM) log likelihood = -31578.347
Iteration 10: (EM) log likelihood = -31369.057
Iteration 11: (EM) log likelihood = -31206.168
Iteration 12: (EM) log likelihood = -31069.879
Iteration 13: (EM) log likelihood = -30950.726
Iteration 14: (EM) log likelihood = -30844.76
Iteration 15: (EM) log likelihood = -30743.327
Iteration 16: (EM) log likelihood = -30641.147
Iteration 17: (EM) log likelihood = -30535.909
Iteration 18: (EM) log likelihood = -30420.261
Iteration 19: (EM) log likelihood = -30289.561
Iteration 20: (EM) log likelihood = -30150.223
Iteration 21: (EM) log likelihood = -30001.197
Iteration 22: (EM) log likelihood = -29855.301
Iteration 23: (EM) log likelihood = -29715.969
Iteration 24: (EM) log likelihood = -29590.395
Iteration 25: (EM) log likelihood = -29480.754
Iteration 26: (EM) log likelihood = -29382.049
Iteration 27: (EM) log likelihood = -29298.184
Iteration 28: (EM) log likelihood = -29223.447
Iteration 29: (EM) log likelihood = -29157.142
Iteration 30: (EM) log likelihood = -29095.234
Iteration 31: (EM) log likelihood = -29042.867
Iteration 32: (EM) log likelihood = -28993
Iteration 33: (EM) log likelihood = -28950.276
Iteration 34: (EM) log likelihood = -28908.919
Iteration 35: (EM) log likelihood = -28871.565
Iteration 36: (EM) log likelihood = -28839.45
Iteration 37: (EM) log likelihood = -28808.009
Iteration 38: (EM) log likelihood = -28780.091
Iteration 39: (EM) log likelihood = -28750.868
Iteration 40: (EM) log likelihood = -28726.472
Iteration 41: (EM) log likelihood = -28703.792
Iteration 42: (EM) log likelihood = -28684.691
Iteration 43: (EM) log likelihood = -28666.339
Iteration 44: (EM) log likelihood = -28648.75
Iteration 45: (EM) log likelihood = -28630.859
Iteration 46: (EM) log likelihood = -28618.952
Iteration 47: (EM) log likelihood = -28604.728
Iteration 48: (EM) log likelihood = -28591.03
Iteration 49: (EM) log likelihood = -28578.288
Iteration 50: (EM) log likelihood = -28567.51
Iteration 51: (EM) log likelihood = -28549.075
Iteration 52: (EM) log likelihood = -28538.31
Iteration 53: (EM) log likelihood = -28530.684
Iteration 54: (EM) log likelihood = -28520.213
Iteration 55: (EM) log likelihood = -28510.399
Iteration 56: (EM) log likelihood = -28497.654
Iteration 57: (EM) log likelihood = -28490.54
Iteration 58: (EM) log likelihood = -28483.184
Iteration 59: (EM) log likelihood = -28470.869
Iteration 60: (EM) log likelihood = -28463.965
Iteration 61: (EM) log likelihood = -28457.95
Iteration 62: (EM) log likelihood = -28451.079
Iteration 63: (EM) log likelihood = -28444.231
Iteration 64: (EM) log likelihood = -28438.15
Iteration 65: (EM) log likelihood = -28432.079
Iteration 66: (EM) log likelihood = -28427.147
Iteration 67: (EM) log likelihood = -28421.881
Iteration 68: (EM) log likelihood = -28415.967
Iteration 69: (EM) log likelihood = -28410.819
Iteration 70: (EM) log likelihood = -28406.337
Iteration 71: (EM) log likelihood = -28399.298
Iteration 72: (EM) log likelihood = -28391.146
Iteration 73: (EM) log likelihood = -28385.651
Iteration 74: (EM) log likelihood = -28380.944
Iteration 75: (EM) log likelihood = -28376.571
Iteration 76: (EM) log likelihood = -28373.042
Iteration 77: (EM) log likelihood = -28369.735
Iteration 78: (EM) log likelihood = -28365.36
Iteration 79: (EM) log likelihood = -28360.672
Iteration 80: (EM) log likelihood = -28357.11
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7873.83
Iteration 1: (class) log likelihood = -7873.83
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29210.413
Iteration 1: (outcome) log likelihood = -29120.401
Iteration 2: (outcome) log likelihood = -29095.404
Iteration 3: (outcome) log likelihood = -29090.33
Iteration 4: (outcome) log likelihood = -29089.142
Iteration 5: (outcome) log likelihood = -29088.868
Iteration 6: (outcome) log likelihood = -29088.804
Iteration 7: (outcome) log likelihood = -29088.791
Iteration 8: (outcome) log likelihood = -29088.789
Iteration 9: (outcome) log likelihood = -29088.788
Iteration 10: (outcome) log likelihood = -29088.788
Iteration 11: (outcome) log likelihood = -29088.788
Refining starting values:
Iteration 0: (EM) log likelihood = -36939.335
Iteration 1: (EM) log likelihood = -36843.538
Iteration 2: (EM) log likelihood = -36523.479
Iteration 3: (EM) log likelihood = -35638.817
Iteration 4: (EM) log likelihood = -34301.171
Iteration 5: (EM) log likelihood = -33224.064
Iteration 6: (EM) log likelihood = -32501.011
Iteration 7: (EM) log likelihood = -31978.335
Iteration 8: (EM) log likelihood = -31547.01
Iteration 9: (EM) log likelihood = -31156.551
Iteration 10: (EM) log likelihood = -30804.086
Iteration 11: (EM) log likelihood = -30505.622
Iteration 12: (EM) log likelihood = -30266.109
Iteration 13: (EM) log likelihood = -30074.967
Iteration 14: (EM) log likelihood = -29923.439
Iteration 15: (EM) log likelihood = -29800.969
Iteration 16: (EM) log likelihood = -29704.645
Iteration 17: (EM) log likelihood = -29629.411
Iteration 18: (EM) log likelihood = -29570.5
Iteration 19: (EM) log likelihood = -29525.301
Iteration 20: (EM) log likelihood = -29488.47
Iteration 21: (EM) log likelihood = -29456.02
Iteration 22: (EM) log likelihood = -29428.404
Iteration 23: (EM) log likelihood = -29403.184
Iteration 24: (EM) log likelihood = -29378.465
Iteration 25: (EM) log likelihood = -29355.722
Iteration 26: (EM) log likelihood = -29334.334
Iteration 27: (EM) log likelihood = -29314.109
Iteration 28: (EM) log likelihood = -29294.897
Iteration 29: (EM) log likelihood = -29276.683
Iteration 30: (EM) log likelihood = -29259.576
Iteration 31: (EM) log likelihood = -29243.577
Iteration 32: (EM) log likelihood = -29229.465
Iteration 33: (EM) log likelihood = -29216.109
Iteration 34: (EM) log likelihood = -29203.519
Iteration 35: (EM) log likelihood = -29191.703
Iteration 36: (EM) log likelihood = -29180.536
Iteration 37: (EM) log likelihood = -29169.302
Iteration 38: (EM) log likelihood = -29158.502
Iteration 39: (EM) log likelihood = -29148.415
Iteration 40: (EM) log likelihood = -29138.485
Iteration 41: (EM) log likelihood = -29128.909
Iteration 42: (EM) log likelihood = -29120.44
Iteration 43: (EM) log likelihood = -29111.481
Iteration 44: (EM) log likelihood = -29103.317
Iteration 45: (EM) log likelihood = -29095.45
Iteration 46: (EM) log likelihood = -29087.16
Iteration 47: (EM) log likelihood = -29079.44
Iteration 48: (EM) log likelihood = -29072.44
Iteration 49: (EM) log likelihood = -29065.22
Iteration 50: (EM) log likelihood = -29058.063
Iteration 51: (EM) log likelihood = -29050.975
Iteration 52: (EM) log likelihood = -29043.941
Iteration 53: (EM) log likelihood = -29036.475
Iteration 54: (EM) log likelihood = -29029.243
Iteration 55: (EM) log likelihood = -29021.345
Iteration 56: (EM) log likelihood = -29013.459
Iteration 57: (EM) log likelihood = -29005.519
Iteration 58: (EM) log likelihood = -28997.641
Iteration 59: (EM) log likelihood = -28989.227
Iteration 60: (EM) log likelihood = -28981.692
Iteration 61: (EM) log likelihood = -28973.503
Iteration 62: (EM) log likelihood = -28965.199
Iteration 63: (EM) log likelihood = -28957.193
Iteration 64: (EM) log likelihood = -28949.272
Iteration 65: (EM) log likelihood = -28941.933
Iteration 66: (EM) log likelihood = -28935.365
Iteration 67: (EM) log likelihood = -28928.432
Iteration 68: (EM) log likelihood = -28921.703
Iteration 69: (EM) log likelihood = -28915.017
Iteration 70: (EM) log likelihood = -28909.174
Iteration 71: (EM) log likelihood = -28903.42
Iteration 72: (EM) log likelihood = -28897.24
Iteration 73: (EM) log likelihood = -28891.228
Iteration 74: (EM) log likelihood = -28884.205
Iteration 75: (EM) log likelihood = -28877.239
Iteration 76: (EM) log likelihood = -28869.983
Iteration 77: (EM) log likelihood = -28862.554
Iteration 78: (EM) log likelihood = -28854.751
Iteration 79: (EM) log likelihood = -28846.595
Iteration 80: (EM) log likelihood = -28838.288
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7877.6019
Iteration 1: (class) log likelihood = -7877.6019
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -29806.551
Iteration 1: (outcome) log likelihood = -29250.253
Iteration 2: (outcome) log likelihood = -29118.574
Iteration 3: (outcome) log likelihood = -29094.101
Iteration 4: (outcome) log likelihood = -29088.348
Iteration 5: (outcome) log likelihood = -29087.203
Iteration 6: (outcome) log likelihood = -29087.011
Iteration 7: (outcome) log likelihood = -29086.966
Iteration 8: (outcome) log likelihood = -29086.956
Iteration 9: (outcome) log likelihood = -29086.953
Iteration 10: (outcome) log likelihood = -29086.953
Iteration 11: (outcome) log likelihood = -29086.953
Iteration 12: (outcome) log likelihood = -29086.953
Refining starting values:
Iteration 0: (EM) log likelihood = -36940.223
Iteration 1: (EM) log likelihood = -36834.634
Iteration 2: (EM) log likelihood = -36495.135
Iteration 3: (EM) log likelihood = -35693.556
Iteration 4: (EM) log likelihood = -34629.737
Iteration 5: (EM) log likelihood = -33744.748
Iteration 6: (EM) log likelihood = -33087.937
Iteration 7: (EM) log likelihood = -32569.715
Iteration 8: (EM) log likelihood = -32111.043
Iteration 9: (EM) log likelihood = -31691.668
Iteration 10: (EM) log likelihood = -31313.429
Iteration 11: (EM) log likelihood = -30964.817
Iteration 12: (EM) log likelihood = -30654.247
Iteration 13: (EM) log likelihood = -30393.786
Iteration 14: (EM) log likelihood = -30181.693
Iteration 15: (EM) log likelihood = -30014.04
Iteration 16: (EM) log likelihood = -29876.775
Iteration 17: (EM) log likelihood = -29762.79
Iteration 18: (EM) log likelihood = -29670.128
Iteration 19: (EM) log likelihood = -29588.372
Iteration 20: (EM) log likelihood = -29521.17
Iteration 21: (EM) log likelihood = -29465.412
Iteration 22: (EM) log likelihood = -29409.824
Iteration 23: (EM) log likelihood = -29368.756
Iteration 24: (EM) log likelihood = -29329.329
Iteration 25: (EM) log likelihood = -29295.75
Iteration 26: (EM) log likelihood = -29267.329
Iteration 27: (EM) log likelihood = -29240.933
Iteration 28: (EM) log likelihood = -29217.121
Iteration 29: (EM) log likelihood = -29196.862
Iteration 30: (EM) log likelihood = -29176.536
Iteration 31: (EM) log likelihood = -29158.866
Iteration 32: (EM) log likelihood = -29143.828
Iteration 33: (EM) log likelihood = -29129.096
Iteration 34: (EM) log likelihood = -29113.553
Iteration 35: (EM) log likelihood = -29092.819
Iteration 36: (EM) log likelihood = -29081.345
Iteration 37: (EM) log likelihood = -29068.952
Iteration 38: (EM) log likelihood = -29057.63
Iteration 39: (EM) log likelihood = -29046.769
Iteration 40: (EM) log likelihood = -29036.183
Iteration 41: (EM) log likelihood = -29025.965
Iteration 42: (EM) log likelihood = -29016.091
Iteration 43: (EM) log likelihood = -29006.831
Iteration 44: (EM) log likelihood = -28998.108
Iteration 45: (EM) log likelihood = -28988.973
Iteration 46: (EM) log likelihood = -28980.416
Iteration 47: (EM) log likelihood = -28971.543
Iteration 48: (EM) log likelihood = -28958.288
Iteration 49: (EM) log likelihood = -28951.412
Iteration 50: (EM) log likelihood = -28942.159
Iteration 51: (EM) log likelihood = -28936.629
Iteration 52: (EM) log likelihood = -28929.854
Iteration 53: (EM) log likelihood = -28923.319
Iteration 54: (EM) log likelihood = -28916.408
Iteration 55: (EM) log likelihood = -28910.794
Iteration 56: (EM) log likelihood = -28905.45
Iteration 57: (EM) log likelihood = -28899.273
Iteration 58: (EM) log likelihood = -28893.532
Iteration 59: (EM) log likelihood = -28888.362
Iteration 60: (EM) log likelihood = -28883.206
Iteration 61: (EM) log likelihood = -28877.069
Iteration 62: (EM) log likelihood = -28871.817
Iteration 63: (EM) log likelihood = -28867.16
Iteration 64: (EM) log likelihood = -28862.658
Iteration 65: (EM) log likelihood = -28858.178
Iteration 66: (EM) log likelihood = -28855.65
Iteration 67: (EM) log likelihood = -28850.934
Iteration 68: (EM) log likelihood = -28846.726
Iteration 69: (EM) log likelihood = -28841.145
Iteration 70: (EM) log likelihood = -28837.312
Iteration 71: (EM) log likelihood = -28833.154
Iteration 72: (EM) log likelihood = -28829.578
Iteration 73: (EM) log likelihood = -28826.094
Iteration 74: (EM) log likelihood = -28821.788
Iteration 75: (EM) log likelihood = -28818.398
Iteration 76: (EM) log likelihood = -28814.985
Iteration 77: (EM) log likelihood = -28811.881
Iteration 78: (EM) log likelihood = -28809.113
Iteration 79: (EM) log likelihood = -28806.03
Iteration 80: (EM) log likelihood = -28802.758
Note: EM algorithm reached maximum iterations.
Computing starting values using randomid:
Fitting class model:
Iteration 0: (class) log likelihood = -7876.2622
Iteration 1: (class) log likelihood = -7876.2622
Fitting outcome model:
Iteration 0: (outcome) log likelihood = -30405.921
Iteration 1: (outcome) log likelihood = -29344.939
Iteration 2: (outcome) log likelihood = -29130.617
Iteration 3: (outcome) log likelihood = -29092.991
Iteration 4: (outcome) log likelihood = -29085.601
Iteration 5: (outcome) log likelihood = -29083.949
Iteration 6: (outcome) log likelihood = -29083.589
Iteration 7: (outcome) log likelihood = -29083.5
Iteration 8: (outcome) log likelihood = -29083.482
Iteration 9: (outcome) log likelihood = -29083.478
Iteration 10: (outcome) log likelihood = -29083.477
Iteration 11: (outcome) log likelihood = -29083.477
Iteration 12: (outcome) log likelihood = -29083.477
Iteration 13: (outcome) log likelihood = -29083.477
Refining starting values:
Iteration 0: (EM) log likelihood = -36914.401
Iteration 1: (EM) log likelihood = -36740.336
Iteration 2: (EM) log likelihood = -36204.651
Iteration 3: (EM) log likelihood = -35131.302
Iteration 4: (EM) log likelihood = -33945.675
Iteration 5: (EM) log likelihood = -33055.349
Iteration 6: (EM) log likelihood = -32418.225
Iteration 7: (EM) log likelihood = -31945.467
Iteration 8: (EM) log likelihood = -31564.484
Iteration 9: (EM) log likelihood = -31221.042
Iteration 10: (EM) log likelihood = -30899.276
Iteration 11: (EM) log likelihood = -30617.732
Iteration 12: (EM) log likelihood = -30388.834
Iteration 13: (EM) log likelihood = -30205.682
Iteration 14: (EM) log likelihood = -30058.868
Iteration 15: (EM) log likelihood = -29935.556
Iteration 16: (EM) log likelihood = -29833.263
Iteration 17: (EM) log likelihood = -29744.08
Iteration 18: (EM) log likelihood = -29665.216
Iteration 19: (EM) log likelihood = -29594.112
Iteration 20: (EM) log likelihood = -29532.711
Iteration 21: (EM) log likelihood = -29475.343
Iteration 22: (EM) log likelihood = -29427.036
Iteration 23: (EM) log likelihood = -29383.406
Iteration 24: (EM) log likelihood = -29343.756
Iteration 25: (EM) log likelihood = -29308.13
Iteration 26: (EM) log likelihood = -29275.419
Iteration 27: (EM) log likelihood = -29245.171
Iteration 28: (EM) log likelihood = -29216.731
Iteration 29: (EM) log likelihood = -29190.036
Iteration 30: (EM) log likelihood = -29163.755
Iteration 31: (EM) log likelihood = -29137.779
Iteration 32: (EM) log likelihood = -29113.652
Iteration 33: (EM) log likelihood = -29089.783
Iteration 34: (EM) log likelihood = -29065.216
Iteration 35: (EM) log likelihood = -29042.656
Iteration 36: (EM) log likelihood = -29019.906
Iteration 37: (EM) log likelihood = -28997.658
Iteration 38: (EM) log likelihood = -28975.277
Iteration 39: (EM) log likelihood = -28954.382
Iteration 40: (EM) log likelihood = -28933.553
Iteration 41: (EM) log likelihood = -28914.482
Iteration 42: (EM) log likelihood = -28894.585
Iteration 43: (EM) log likelihood = -28874.075
Iteration 44: (EM) log likelihood = -28854.8
Iteration 45: (EM) log likelihood = -28837.42
Iteration 46: (EM) log likelihood = -28819.695
Iteration 47: (EM) log likelihood = -28802.503
Iteration 48: (EM) log likelihood = -28784.708
Iteration 49: (EM) log likelihood = -28766.53
Iteration 50: (EM) log likelihood = -28753.058
Iteration 51: (EM) log likelihood = -28735.25
Iteration 52: (EM) log likelihood = -28717.764
Iteration 53: (EM) log likelihood = -28701.206
Iteration 54: (EM) log likelihood = -28682.76
Iteration 55: (EM) log likelihood = -28664.953
Iteration 56: (EM) log likelihood = -28647.596
Iteration 57: (EM) log likelihood = -28625.488
Iteration 58: (EM) log likelihood = -28609.971
Iteration 59: (EM) log likelihood = -28595.112
Iteration 60: (EM) log likelihood = -28584.279
Iteration 61: (EM) log likelihood = -28571.085
Iteration 62: (EM) log likelihood = -28558.801
Iteration 63: (EM) log likelihood = -28548.721
Iteration 64: (EM) log likelihood = -28539.511
Iteration 65: (EM) log likelihood = -28528.764
Iteration 66: (EM) log likelihood = -28512.875
Iteration 67: (EM) log likelihood = -28503.545
Iteration 68: (EM) log likelihood = -28494.898
Iteration 69: (EM) log likelihood = -28486.438
Iteration 70: (EM) log likelihood = -28479.574
Iteration 71: (EM) log likelihood = -28472.561
Iteration 72: (EM) log likelihood = -28467.001
Iteration 73: (EM) log likelihood = -28459.136
Iteration 74: (EM) log likelihood = -28453.136
Iteration 75: (EM) log likelihood = -28448.655
Iteration 76: (EM) log likelihood = -28440.124
Iteration 77: (EM) log likelihood = -28433.333
Iteration 78: (EM) log likelihood = -28426.978
Iteration 79: (EM) log likelihood = -28419.582
Iteration 80: (EM) log likelihood = -28413.699
Note: EM algorithm reached maximum iterations.
Fitting full model:
Iteration 0: log likelihood = -26791.449 (not concave)
Iteration 1: log likelihood = -26791.241 (not concave)
Iteration 2: log likelihood = -26791 (not concave)
Iteration 3: log likelihood = -26790.823 (not concave)
Iteration 4: log likelihood = -26789.768 (not concave)
Iteration 5: log likelihood = -26789.531 (not concave)
Iteration 6: log likelihood = -26788.992 (not concave)
Iteration 7: log likelihood = -26788.055 (not concave)
Iteration 8: log likelihood = -26787.405 (not concave)
Iteration 9: log likelihood = -26786.832 (not concave)
Iteration 10: log likelihood = -26786.277 (not concave)
Iteration 11: log likelihood = -26785.87 (not concave)
Iteration 12: log likelihood = -26785.467 (not concave)
Iteration 13: log likelihood = -26784.913 (not concave)
Iteration 14: log likelihood = -26784.411 (not concave)
Iteration 15: log likelihood = -26784.046 (not concave)
Iteration 16: log likelihood = -26783.85 (not concave)
Iteration 17: log likelihood = -26783.631 (not concave)
Iteration 18: log likelihood = -26783.311 (not concave)
Iteration 19: log likelihood = -26783.143 (not concave)
Iteration 20: log likelihood = -26782.927 (not concave)
Iteration 21: log likelihood = -26782.683 (not concave)
Iteration 22: log likelihood = -26782.507 (not concave)
Iteration 23: log likelihood = -26782.349 (not concave)
Iteration 24: log likelihood = -26782.181 (not concave)
Iteration 25: log likelihood = -26782.022 (not concave)
Iteration 26: log likelihood = -26781.87 (not concave)
Iteration 27: log likelihood = -26781.715 (not concave)
Iteration 28: log likelihood = -26781.562 (not concave)
Iteration 29: log likelihood = -26781.413 (not concave)
Iteration 30: log likelihood = -26781.265 (not concave)
Iteration 31: log likelihood = -26781.117 (not concave)
Iteration 32: log likelihood = -26780.972 (not concave)
Iteration 33: log likelihood = -26780.829 (not concave)
Iteration 34: log likelihood = -26780.737 (not concave)
Iteration 35: log likelihood = -26780.735 (not concave)
Generalized structural equation model Number of obs = 3,789
Log likelihood = -26780.735
------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
1.C | (base outcome)
-------------+----------------------------------------------------------------
2.C |
_cons | .4177624 .1155592 3.62 0.000 .1912705 .6442543
-------------+----------------------------------------------------------------
3.C |
_cons | -.9660057 .4184532 -2.31 0.021 -1.786159 -.1458525
-------------+----------------------------------------------------------------
4.C |
_cons | -.5885034 .1616468 -3.64 0.000 -.9053254 -.2716814
-------------+----------------------------------------------------------------
5.C |
_cons | .6880663 .1644762 4.18 0.000 .3656989 1.010434
-------------+----------------------------------------------------------------
6.C |
_cons | .2489987 .2255168 1.10 0.270 -.1930061 .6910034
-------------+----------------------------------------------------------------
7.C |
_cons | -.6515918 .1439469 -4.53 0.000 -.9337226 -.3694611
-------------+----------------------------------------------------------------
8.C |
_cons | 1.154025 .160037 7.21 0.000 .8403579 1.467691
------------------------------------------------------------------------------
Class : 1
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | .3853814 .2002708 1.92 0.054 -.0071422 .7779049
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -100.9242 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 3.576824 2.879759 1.24 0.214 -2.0674 9.221047
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 6.696034 2.828491 2.37 0.018 1.152293 12.23977
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 6.873294 2.829802 2.43 0.015 1.326983 12.4196
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 6.800466 2.828891 2.40 0.016 1.255941 12.34499
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 5.08351 2.842046 1.79 0.074 -.4867976 10.65382
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 2.071501 .2106949 9.83 0.000 1.658547 2.484456
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -43.16128 4.96e+08 -0.00 1.000 -9.72e+08 9.72e+08
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 6.073339 6680492 0.00 1.000 -1.31e+07 1.31e+07
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 36.81034 6418480 0.00 1.000 -1.26e+07 1.26e+07
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | -.7221182 .904676 -0.80 0.425 -2.495251 1.051014
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.786784 .5315432 5.24 0.000 1.744979 3.82859
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 3.008401 .5019958 5.99 0.000 2.024507 3.992294
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.252525 .5732329 3.93 0.000 1.129009 3.376041
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.049785 .6578574 1.60 0.111 -.2395923 2.339161
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 7.967394 3.472363 2.29 0.022 1.161687 14.7731
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 5.967083 3.479955 1.71 0.086 -.8535046 12.78767
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 5.058483 3.584172 1.41 0.158 -1.966365 12.08333
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 6.721105 3.473792 1.93 0.053 -.0874017 13.52961
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 4.234722 3.575277 1.18 0.236 -2.772692 11.24214
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 4.152439 . . . . .
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 7.328578 .9343766 7.84 0.000 5.497233 9.159922
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 6.633076 .9138663 7.26 0.000 4.841931 8.424221
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 5.534311 .9401426 5.89 0.000 3.691665 7.376956
--------------------------------------------------------------------------------------------
Class : 2
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -94.37885 . . . . .
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | 33.04628 2278614 0.00 1.000 -4465968 4466034
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 5.24397 .9620658 5.45 0.000 3.358355 7.129584
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 5.0168 .9629584 5.21 0.000 3.129436 6.904164
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 4.669067 .9644454 4.84 0.000 2.778789 6.559345
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 3.941999 .9698538 4.06 0.000 2.041121 5.842878
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 2.231742 1.015987 2.20 0.028 .2404447 4.223039
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.686848 .1216702 13.86 0.000 1.448379 1.925318
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -1.208281 .2340052 -5.16 0.000 -1.666923 -.7496397
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 16.46547 160.4527 0.10 0.918 -298.016 330.947
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 11.37803 160.4651 0.07 0.943 -303.1277 325.8838
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.513192 .4803069 9.40 0.000 3.571808 5.454577
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 3.228477 .48686 6.63 0.000 2.274249 4.182706
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | -184.5441 . . . . .
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | -345.4124 . . . . .
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | -315.4498 . . . . .
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 21.69504 .1320375 164.31 0.000 21.43625 21.95383
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 20.92652 .1502777 139.25 0.000 20.63198 21.22105
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 20.75651 . . . . .
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 20.11495 .2016471 99.75 0.000 19.71973 20.51017
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 21.08448 .1446511 145.76 0.000 20.80097 21.36799
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 3.72586 1.065195 3.50 0.000 1.638116 5.813604
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 6.040638 1.053977 5.73 0.000 3.974881 8.106395
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 4.73579 1.057416 4.48 0.000 2.663293 6.808287
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | -136.1441 . . . . .
--------------------------------------------------------------------------------------------
Class : 3
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | .9633319 .3373956 2.86 0.004 .3020488 1.624615
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -123.0097 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 4.991225 4.359836 1.14 0.252 -3.553897 13.53635
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 6.399438 4.366635 1.47 0.143 -2.15901 14.95789
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 6.472124 4.358185 1.49 0.138 -2.069761 15.01401
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 6.529557 4.362589 1.50 0.134 -2.02096 15.08007
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 4.745418 4.402757 1.08 0.281 -3.883827 13.37466
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.47152 1.220175 1.21 0.228 -.9199785 3.863019
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | 2.018239 1.172752 1.72 0.085 -.2803122 4.31679
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 8.644382 7.739365 1.12 0.264 -6.524496 23.81326
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 7.104933 7.739371 0.92 0.359 -8.063954 22.27382
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | -10.60847 . . . . .
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.811347 .5279231 9.11 0.000 3.776637 5.846058
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.725768 .5211017 9.07 0.000 3.704427 5.747108
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.144889 .5302475 7.82 0.000 3.105623 5.184155
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.85878 . . . . .
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 5.323724 14266.08 0.00 1.000 -27955.68 27966.33
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 2.645533 15053.11 0.00 1.000 -29500.92 29506.21
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 16.1488 14088.77 0.00 0.999 -27597.34 27629.64
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 22.51717 14088.71 0.00 0.999 -27590.84 27635.88
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 22.99803 14088.71 0.00 0.999 -27590.36 27636.36
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | -38.59768 4.56e+08 -0.00 1.000 -8.95e+08 8.95e+08
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 5.179567 2.0732 2.50 0.012 1.11617 9.242963
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 4.280657 2.064333 2.07 0.038 .2346388 8.326676
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | -26.88765 1663603 -0.00 1.000 -3260629 3260576
--------------------------------------------------------------------------------------------
Class : 4
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -.7392949 .2305152 -3.21 0.001 -1.191096 -.2874935
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -130.8205 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | -.6820354 .5494074 -1.24 0.214 -1.758854 .3947833
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 1.468016 .3198746 4.59 0.000 .8410737 2.094959
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 1.514548 .3365184 4.50 0.000 .8549841 2.174112
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 1.307798 .3271248 4.00 0.000 .6666448 1.948951
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | -.3347781 .5157923 -0.65 0.516 -1.345712 .6761562
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | -30.61017 993396.9 -0.00 1.000 -1947053 1946991
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -69.90238 . . . . .
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 2.279127 .2739945 8.32 0.000 1.742108 2.816147
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | .2001017 .4009235 0.50 0.618 -.5856938 .9858973
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | -41.33313 6.01e+08 -0.00 1.000 -1.18e+09 1.18e+09
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | .7754034 .5421786 1.43 0.153 -.2872471 1.838054
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.636777 .4580543 3.57 0.000 .7390072 2.534547
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.868169 .4389602 4.26 0.000 1.007823 2.728515
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.795831 .4391036 4.09 0.000 .9352041 2.656459
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 1.983967 .4755016 4.17 0.000 1.052001 2.915933
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 2.336029 .4405017 5.30 0.000 1.472662 3.199397
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 1.734721 .4789316 3.62 0.000 .7960322 2.67341
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 1.259534 .4974319 2.53 0.011 .2845857 2.234483
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 1.870584 .472746 3.96 0.000 .9440193 2.79715
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | .0526475 .6364875 0.08 0.934 -1.194845 1.30014
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 2.962395 .4158355 7.12 0.000 2.147373 3.777418
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 1.966397 .4425927 4.44 0.000 1.098931 2.833863
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | .483688 .526691 0.92 0.358 -.5486073 1.515983
--------------------------------------------------------------------------------------------
Class : 5
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -3.191854 .9551301 -3.34 0.001 -5.063875 -1.319834
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -114.1012 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 2.195148 1.088394 2.02 0.044 .0619354 4.32836
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 5.092574 1.007082 5.06 0.000 3.118729 7.066419
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 5.612063 1.00367 5.59 0.000 3.644907 7.579219
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 5.268135 1.00551 5.24 0.000 3.297372 7.238899
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 3.155707 1.035102 3.05 0.002 1.126945 5.18447
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 2.312987 .1884384 12.27 0.000 1.943655 2.68232
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -.9965188 .3289044 -3.03 0.002 -1.64116 -.351878
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 6.247743 .9218952 6.78 0.000 4.440861 8.054624
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 3.790501 .9904146 3.83 0.000 1.849324 5.731678
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.050219 .2081875 5.04 0.000 .6421786 1.458258
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.172526 .240708 4.87 0.000 .7007464 1.644305
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 1.899198 .2014061 9.43 0.000 1.504449 2.293947
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | -2.681711 3.658907 -0.73 0.464 -9.853036 4.489615
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | -1.620103 .7692561 -2.11 0.035 -3.127817 -.1123886
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 6.467287 2.679274 2.41 0.016 1.216006 11.71857
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 5.678506 2.690837 2.11 0.035 .4045628 10.95245
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 5.668715 2.687038 2.11 0.035 .4022175 10.93521
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 5.113417 2.676255 1.91 0.056 -.1319469 10.35878
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 5.512419 2.682091 2.06 0.040 .2556172 10.76922
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 5.559739 2.635463 2.11 0.035 .3943263 10.72515
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 7.385269 2.635716 2.80 0.005 2.219362 12.55118
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 6.925042 2.636228 2.63 0.009 1.758131 12.09195
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | -82.57547 . . . . .
--------------------------------------------------------------------------------------------
Class : 6
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | 2.580995 .3684134 7.01 0.000 1.858918 3.303072
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -101.2231 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | -1.278381 5.977663 -0.21 0.831 -12.99439 10.43762
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 2.907996 .7807227 3.72 0.000 1.377808 4.438184
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 4.145761 .7462347 5.56 0.000 2.683168 5.608354
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 4.767293 .7372723 6.47 0.000 3.322266 6.212321
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 2.767331 .7647519 3.62 0.000 1.268445 4.266217
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.795511 .1604424 11.19 0.000 1.48105 2.109972
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -129.6745 . . . . .
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 8.935171 4.857465 1.84 0.066 -.5852861 18.45563
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 6.154664 4.866878 1.26 0.206 -3.384241 15.69357
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | -.9865182 2.39954 -0.41 0.681 -5.689529 3.716493
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.309839 1.150598 3.75 0.000 2.054709 6.564968
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 3.396931 1.175232 2.89 0.004 1.093518 5.700344
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.501242 1.132943 2.21 0.027 .2807149 4.721769
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | .8221112 1.23426 0.67 0.505 -1.596994 3.241216
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 8.149785 3.326292 2.45 0.014 1.630372 14.6692
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 6.26455 3.331263 1.88 0.060 -.2646058 12.79371
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 5.731268 3.338659 1.72 0.086 -.8123837 12.27492
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 5.848506 3.333332 1.75 0.079 -.6847039 12.38172
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 5.93762 3.338329 1.78 0.075 -.6053849 12.48063
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 7.423522 .6083055 12.20 0.000 6.231266 8.615779
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 4.417671 2.957831 1.49 0.135 -1.379572 10.21491
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 5.987205 .7426343 8.06 0.000 4.531668 7.442741
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 2.859359 . . . . .
--------------------------------------------------------------------------------------------
Class : 7
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | -75.5303 . . . . .
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | 2.698109 .5279119 5.11 0.000 1.66342 3.732797
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 6.51657 4.364842 1.49 0.135 -2.038364 15.0715
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 7.121047 4.363049 1.63 0.103 -1.430372 15.67247
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 6.745402 4.36415 1.55 0.122 -1.808175 15.29898
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 6.504757 4.365404 1.49 0.136 -2.051277 15.06079
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 4.698615 4.384641 1.07 0.284 -3.895123 13.29235
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.758843 .2229048 7.89 0.000 1.321958 2.195728
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -1.309401 .4724792 -2.77 0.006 -2.235444 -.3833592
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 20.66451 6675.667 0.00 0.998 -13063.4 13104.73
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 22.70157 6675.667 0.00 0.997 -13061.37 13106.77
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | 3.731565 .5827501 6.40 0.000 2.589396 4.873735
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 2.223391 .6060182 3.67 0.000 1.035617 3.411164
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | -80.19164 . . . . .
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | -208.476 . . . . .
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | -241.7611 . . . . .
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 3.339544 .5836763 5.72 0.000 2.195559 4.483528
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 1.470216 .6434739 2.28 0.022 .2090301 2.731402
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | -.1912119 .9083043 -0.21 0.833 -1.971456 1.589032
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 2.74067 .591324 4.63 0.000 1.581696 3.899644
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | .8850135 .6996257 1.26 0.206 -.4862276 2.256255
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | -1.400946 2.159784 -0.65 0.517 -5.634045 2.832153
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 3.025541 .4770661 6.34 0.000 2.090509 3.960573
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 1.925382 .5085888 3.79 0.000 .9285663 2.922198
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | 2.310747 .4832978 4.78 0.000 1.363501 3.257994
--------------------------------------------------------------------------------------------
Class : 8
Response : CAUSAL
Base outcome : 2
Family : multinomial
Link : logit
Response : EDAD_MUJER_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : PUEBLO_ORIGINARIO_~C
Base outcome : 1
Family : multinomial
Link : logit
Response : PAIS_ORIGEN_REC
Base outcome : 1
Family : multinomial
Link : logit
Response : HITO1_EDAD_GEST_SE~C
Base outcome : 1
Family : multinomial
Link : logit
Response : MACROZONA
Base outcome : 1
Family : multinomial
Link : logit
Response : PREV_TRAMO_REC
Base outcome : 1
Family : multinomial
Link : logit
--------------------------------------------------------------------------------------------
| Coef. Std. Err. z P>|z| [95% Conf. Interval]
---------------------------+----------------------------------------------------------------
2.CAUSAL | (base outcome)
---------------------------+----------------------------------------------------------------
3.CAUSAL |
_cons | 2.246339 .5474491 4.10 0.000 1.173359 3.31932
---------------------------+----------------------------------------------------------------
4.CAUSAL |
_cons | -126.8189 . . . . .
---------------------------+----------------------------------------------------------------
1.EDAD_MUJER_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.EDAD_MUJER_REC |
_cons | 19.23818 .2433695 79.05 0.000 18.76119 19.71518
---------------------------+----------------------------------------------------------------
3.EDAD_MUJER_REC |
_cons | 21.2446 .1667173 127.43 0.000 20.91784 21.57136
---------------------------+----------------------------------------------------------------
4.EDAD_MUJER_REC |
_cons | 21.37372 .1492092 143.25 0.000 21.08127 21.66616
---------------------------+----------------------------------------------------------------
5.EDAD_MUJER_REC |
_cons | 21.19999 .1520515 139.43 0.000 20.90197 21.498
---------------------------+----------------------------------------------------------------
6.EDAD_MUJER_REC |
_cons | 19.81659 . . . . .
---------------------------+----------------------------------------------------------------
1.PUEBLO_ORIGINARIO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PUEBLO_ORIGINARIO_REC |
_cons | 1.95196 .1491602 13.09 0.000 1.659611 2.244308
---------------------------+----------------------------------------------------------------
3.PUEBLO_ORIGINARIO_REC |
_cons | -1.940994 .3438621 -5.64 0.000 -2.614952 -1.267037
---------------------------+----------------------------------------------------------------
1.PAIS_ORIGEN_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PAIS_ORIGEN_REC |
_cons | 9.790292 5.367391 1.82 0.068 -.7296021 20.31019
---------------------------+----------------------------------------------------------------
3.PAIS_ORIGEN_REC |
_cons | 5.73177 5.64746 1.01 0.310 -5.337048 16.80059
---------------------------+----------------------------------------------------------------
1.HITO1_EDAD_GEST_SEM_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.HITO1_EDAD_GEST_SEM_REC |
_cons | -100.2494 . . . . .
---------------------------+----------------------------------------------------------------
3.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.54217 2.796708 1.62 0.104 -.9392775 10.02362
---------------------------+----------------------------------------------------------------
4.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.685141 2.850419 1.64 0.100 -.9015779 10.27186
---------------------------+----------------------------------------------------------------
5.HITO1_EDAD_GEST_SEM_REC |
_cons | 4.23683 2.874591 1.47 0.141 -1.397264 9.870924
---------------------------+----------------------------------------------------------------
6.HITO1_EDAD_GEST_SEM_REC |
_cons | 3.224488 2.893834 1.11 0.265 -2.447323 8.896298
---------------------------+----------------------------------------------------------------
1.MACROZONA | (base outcome)
---------------------------+----------------------------------------------------------------
2.MACROZONA |
_cons | 6.302962 1.258514 5.01 0.000 3.836319 8.769605
---------------------------+----------------------------------------------------------------
3.MACROZONA |
_cons | 5.713844 1.256224 4.55 0.000 3.251691 8.175997
---------------------------+----------------------------------------------------------------
4.MACROZONA |
_cons | 5.883899 1.254092 4.69 0.000 3.425924 8.341874
---------------------------+----------------------------------------------------------------
5.MACROZONA |
_cons | 4.714409 1.283875 3.67 0.000 2.19806 7.230757
---------------------------+----------------------------------------------------------------
6.MACROZONA |
_cons | 5.468467 1.2678 4.31 0.000 2.983624 7.953309
---------------------------+----------------------------------------------------------------
1.PREV_TRAMO_REC | (base outcome)
---------------------------+----------------------------------------------------------------
2.PREV_TRAMO_REC |
_cons | 17.77464 3.456563 5.14 0.000 10.9999 24.54937
---------------------------+----------------------------------------------------------------
3.PREV_TRAMO_REC |
_cons | 22.51583 . . . . .
---------------------------+----------------------------------------------------------------
4.PREV_TRAMO_REC |
_cons | 21.95029 .0891255 246.29 0.000 21.77561 22.12498
---------------------------+----------------------------------------------------------------
5.PREV_TRAMO_REC |
_cons | -27.13909 . . . . .
--------------------------------------------------------------------------------------------
----------------------------------------------------------------------------
Fit statistic | Value Description
---------------------+------------------------------------------------------
Likelihood ratio |
chi2_ms(28980) | 3633.061 model vs. saturated
p > chi2 | 1.000
---------------------+------------------------------------------------------
Information criteria |
AIC | 53919.470 Akaike's information criterion
BIC | 55036.404 Bayesian information criterion
----------------------------------------------------------------------------
Entropy:
.83380894
(results lca_prueba_c7 are active now)
(results lca_prueba_c8 are active now)
LMR LT test statistic:
272.03731
P value Lo-Mendel:
0.00000000000000000
__00000B = 272.03731
__00000A = 283.04225
__00000D = 20
__00000C = 23
__000009 = 8
__000005 = 179
__000003 = -26780.735
__000008 = 7
__000004 = 151
__000002 = -26922.256
__000001 = 3789
scalars:
r(lmrt_p) = 8.19613622038e-42
r(lmrt) = 272.0373126130959
.
. *likelihood-ratio statistic is also known as the G2 statistic.
. *p > chi2: We fail to reject the null hypothesis that our model fits
. *as well as the saturated model.
.
. *If you don't get standard errors, that means the model has not converged
. *adequately - basically, you aren't sure (because Stata is not sure)
. *if you are at a global maximum of the likelihood function.
.
. matrix entr= (0 \ $Entropy__2 \ $Entropy__3 \ $Entropy__4 \ $Entropy__5 \ $Entropy__6 \ $Entropy__7 \ $Entropy__8 )
.
. matrix lmrt_mat = (1 \ $lmrt_2 \ $lmrt_3 \ $lmrt_4 \ $lmrt_5 \ $lmrt_6 \ $lmrt_7 \ $lmrt_8 )
. matrix lmrt_p_mat = (1 \ $lmrt_p_2 \ $lmrt_p_3 \ $lmrt_p_4 \ $lmrt_p_5 \ $lmrt_p_6 \ $lmrt_p_7 \ $lmrt_p_8 )
. matrix cs = (1 \ 2 \ 3 \ 4 \ 5 \ 6 \ 7 \ 8)
.
. mat lmrt = (cs, entr, lmrt_mat, lmrt_p_mat)
. matrix colnames lmrt = n_classes Entropy LMRT p-value
.
. cap noi estwrite _all using "./analisis_lcas_tests_real_apr23.sters", replace
(saving lca_prueba_c1)
(saving lca_prueba_c2)
(saving lca_prueba_c3)
(saving lca_prueba_c4)
(saving lca_prueba_c5)
(saving lca_prueba_c6)
(saving lca_prueba_c7)
(saving lca_prueba_c8)
(file ./analisis_lcas_tests_real_apr23.sters saved)
.
. esttab matrix(lmrt) using "./lmrt_lca.csv", replace
(output written to ./lmrt_lca.csv)
. esttab matrix(lmrt) using "./lmrt_lca.html", replace
(output written to ./lmrt_lca.html)
| lmrt | ||||
| n_classes | Entropy | LMRT | p-value | |
| r1 | 1 | 0 | 1 | 1 |
| r2 | 2 | .9478192 | 2785.825 | 0 |
| r3 | 3 | .9564019 | 299.7599 | 2.24e-52 |
| r4 | 4 | .8475395 | 516.2592 | 3.28e-93 |
| r5 | 5 | .832918 | 366.084 | 1.05e-66 |
| r6 | 6 | .8386185 | 266.2103 | 4.05e-46 |
| r7 | 7 | .8501259 | 96.71703 | 1.09e-11 |
| r8 | 8 | .8338089 | 272.0373 | 8.20e-42 |
Luego comparamos los modelos para detectar el número óptimo de clases.
. estread "./analisis_lcas_tests_real_apr23.sters"
------------------------------------------------------------------------------------
name | command depvar npar title
-------------+----------------------------------------------------------------------
lca_prueba~1 | gsem mult. depvar 33 Generalized structural equation model
lca_prueba~2 | gsem mult. depvar 66 Generalized structural equation model
lca_prueba~3 | gsem mult. depvar 99 Generalized structural equation model
lca_prueba~4 | gsem mult. depvar 132 Generalized structural equation model
lca_prueba~5 | gsem mult. depvar 165 Generalized structural equation model
lca_prueba~6 | gsem mult. depvar 198 Generalized structural equation model
lca_prueba~7 | gsem mult. depvar 231 Generalized structural equation model
lca_prueba~8 | gsem mult. depvar 264 Generalized structural equation model
------------------------------------------------------------------------------------
.
. estimates stats _all
Akaike's information criterion and Bayesian information criterion
-----------------------------------------------------------------------------
Model | N ll(null) ll(model) df AIC BIC
-------------+---------------------------------------------------------------
lca_prueba~1 | 3,789 . -29175.28 25 58400.57 58556.56
lca_prueba~2 | 3,789 . -27726.02 50 55552.04 55864.04
lca_prueba~3 | 3,789 . -27570.08 69 55278.16 55708.71
lca_prueba~4 | 3,789 . -27301.51 94 54791.01 55377.56
lca_prueba~5 | 3,789 . -27111.06 112 54446.12 55144.99
lca_prueba~6 | 3,789 . -26972.57 130 54205.14 55016.32
lca_prueba~7 | 3,789 . -26922.26 151 54146.51 55088.73
lca_prueba~8 | 3,789 . -26780.74 179 53919.47 55036.4
-----------------------------------------------------------------------------
Note: BIC uses N = number of observations. See [R] BIC note.
. matrix stats_lca_ppio= r(S)
.
. estimates clear
. ** to order AICs
. *https://www.statalist.org/forums/forum/general-stata-discussion/general/1665263-sorting-matrix-including-rownames
.
. mata :
------------------------------------------------- mata (type end to exit) ----------------------------------------------------------------------------------------------------------------------
:
: void st_sort_matrix(
> //argumento de la matriz
> string scalar matname,
> //argumento de las columnas
> real rowvector columns
> )
> {
> string matrix rownames
> real colvector sort_order
> // defino una base
> //Y = st_matrix(matname)
> //[.,(1, 2, 3, 4, 6, 5)]
> //ordeno las columnas
> rownames = st_matrixrowstripe(matname) //[.,(1, 2, 3, 4, 6, 5)]
> sort_order = order(st_matrix(matname), (columns))
> st_replacematrix(matname, st_matrix(matname)[sort_order,.])
> st_matrixrowstripe(matname, rownames[sort_order,.])
> }
:
: end
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
.
. mata: st_sort_matrix("stats_lca_ppio",6)
.
. esttab matrix(stats_lca_ppio) using "./testreg_bic_lca.csv", replace
(output written to ./testreg_bic_lca.csv)
. esttab matrix(stats_lca_ppio) using "./testreg_bic_lca.html", replace
(output written to ./testreg_bic_lca.html)
| stats_lca_ppio | ||||||
| N | ll0 | ll | df | AIC | BIC | |
| lca_prueba_c6 | 3789 | . | -26972.57 | 130 | 54205.14 | 55016.32 |
| lca_prueba_c8 | 3789 | . | -26780.74 | 179 | 53919.47 | 55036.4 |
| lca_prueba_c7 | 3789 | . | -26922.26 | 151 | 54146.51 | 55088.73 |
| lca_prueba_c5 | 3789 | . | -27111.06 | 112 | 54446.12 | 55144.99 |
| lca_prueba_c4 | 3789 | . | -27301.51 | 94 | 54791.01 | 55377.56 |
| lca_prueba_c3 | 3789 | . | -27570.08 | 69 | 55278.16 | 55708.71 |
| lca_prueba_c2 | 3789 | . | -27726.02 | 50 | 55552.04 | 55864.04 |
| lca_prueba_c1 | 3789 | . | -29175.28 | 25 | 58400.57 | 58556.56 |
. cap qui save "./lca_step1_apr23.dta", all replace emptyok
.
. log close
no log file open
r(606);
Tiempo de guardado= 07:49:03 27 Apr 2023