Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022 10:24 PM
INPUT INSTRUCTIONS
title:
this is an example of a LCGA for a count
outcome using a zero-inflated Poisson
model
montecarlo:
names are u1-u4;
generate = u1-u4(ci);
count = u1-u4(i);
genclasses = c(2);
classes = c(2);
nobs = 500;
seed = 3454367;
nrep = 1;
save = ex8.11.dat;
analysis:
type = mixture;
algo = int;
model population:
%overall%
i s | u1@0 u2@1 u3@2 u4@3;
[i*.5 s*0];
ii si | u1#1@0 u2#1@1 u3#1@2 u4#1@3;
[ii@0]
[si*-.5] (1);
[u1#1-u4#1*.5] (2);
i-si@0;
i with s-si@0;
s with ii-si@0;
ii with si@0;
%c#1%
[i*1 s*.2];
model:
%overall%
i s | u1@0 u2@1 u3@2 u4@3;
[i*.5 s*0];
ii si | u1#1@0 u2#1@1 u3#1@2 u4#1@3;
[ii@0]
[si*-.5] (1);
[u1#1-u4#1*.5] (2);
i-si@0;
i with s-si@0;
s with ii-si@0;
ii with si@0;
%c#1%
[i*1 s*.2];
output:
tech8 tech9;
INPUT READING TERMINATED NORMALLY
this is an example of a LCGA for a count
outcome using a zero-inflated Poisson
model
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 500
Number of replications
Requested 1
Completed 1
Value of seed 3454367
Number of dependent variables 4
Number of independent variables 0
Number of continuous latent variables 4
Number of categorical latent variables 1
Observed dependent variables
Count
U1 U2 U3 U4
Continuous latent variables
I S II SI
Categorical latent variables
C
Estimator MLR
Information matrix OBSERVED
Optimization Specifications for the Quasi-Newton Algorithm for
Continuous Outcomes
Maximum number of iterations 100
Convergence criterion 0.100D-05
Optimization Specifications for the EM Algorithm
Maximum number of iterations 500
Convergence criteria
Loglikelihood change 0.100D-02
Relative loglikelihood change 0.100D-05
Derivative 0.100D-02
Optimization Specifications for the M step of the EM Algorithm for
Categorical Latent variables
Number of M step iterations 1
M step convergence criterion 0.100D-02
Basis for M step termination ITERATION
Optimization Specifications for the M step of the EM Algorithm for
Censored, Binary or Ordered Categorical (Ordinal), Unordered
Categorical (Nominal) and Count Outcomes
Number of M step iterations 1
M step convergence criterion 0.100D-02
Basis for M step termination ITERATION
Maximum value for logit thresholds 15
Minimum value for logit thresholds -15
Minimum expected cell size for chi-square 0.100D-01
Optimization algorithm EMA
Integration Specifications
Type STANDARD
Number of integration points 15
Dimensions of numerical integration 0
Adaptive quadrature ON
Cholesky OFF
MODEL FIT INFORMATION
Number of Free Parameters 7
Loglikelihood
H0 Value
Mean -3107.217
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 -3107.217 -3107.217
0.980 0.000 -3107.217 -3107.217
0.950 0.000 -3107.217 -3107.217
0.900 0.000 -3107.217 -3107.217
0.800 0.000 -3107.217 -3107.217
0.700 0.000 -3107.217 -3107.217
0.500 0.000 -3107.217 -3107.217
0.300 0.000 -3107.217 -3107.217
0.200 0.000 -3107.217 -3107.217
0.100 0.000 -3107.217 -3107.217
0.050 0.000 -3107.217 -3107.217
0.020 0.000 -3107.217 -3107.217
0.010 0.000 -3107.217 -3107.217
Information Criteria
Akaike (AIC)
Mean 6228.433
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 6228.433 6228.433
0.980 0.000 6228.433 6228.433
0.950 0.000 6228.433 6228.433
0.900 0.000 6228.433 6228.433
0.800 0.000 6228.433 6228.433
0.700 0.000 6228.433 6228.433
0.500 0.000 6228.433 6228.433
0.300 0.000 6228.433 6228.433
0.200 0.000 6228.433 6228.433
0.100 0.000 6228.433 6228.433
0.050 0.000 6228.433 6228.433
0.020 0.000 6228.433 6228.433
0.010 0.000 6228.433 6228.433
Bayesian (BIC)
Mean 6257.935
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 6257.935 6257.935
0.980 0.000 6257.935 6257.935
0.950 0.000 6257.935 6257.935
0.900 0.000 6257.935 6257.935
0.800 0.000 6257.935 6257.935
0.700 0.000 6257.935 6257.935
0.500 0.000 6257.935 6257.935
0.300 0.000 6257.935 6257.935
0.200 0.000 6257.935 6257.935
0.100 0.000 6257.935 6257.935
0.050 0.000 6257.935 6257.935
0.020 0.000 6257.935 6257.935
0.010 0.000 6257.935 6257.935
Sample-Size Adjusted BIC (n* = (n + 2) / 24)
Mean 6235.717
Std Dev 0.000
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 6235.717 6235.717
0.980 0.000 6235.717 6235.717
0.950 0.000 6235.717 6235.717
0.900 0.000 6235.717 6235.717
0.800 0.000 6235.717 6235.717
0.700 0.000 6235.717 6235.717
0.500 0.000 6235.717 6235.717
0.300 0.000 6235.717 6235.717
0.200 0.000 6235.717 6235.717
0.100 0.000 6235.717 6235.717
0.050 0.000 6235.717 6235.717
0.020 0.000 6235.717 6235.717
0.010 0.000 6235.717 6235.717
Chi-Square Test of Model Fit for the Count Outcomes
Pearson Chi-Square
Mean 2438.243
Std Dev 0.000
Degrees of freedom 9983
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 9657.229 2438.243
0.980 0.000 9694.953 2438.243
0.950 0.000 9751.723 2438.243
0.900 0.000 9802.349 2438.243
0.800 0.000 9863.888 2438.243
0.700 0.000 9908.421 2438.243
0.500 0.000 9982.333 2438.243
0.300 0.000 10056.612 2438.243
0.200 0.000 10101.723 2438.243
0.100 0.000 10164.507 2438.243
0.050 0.000 10216.551 2438.243
0.020 0.000 10275.338 2438.243
0.010 0.000 10314.654 2438.243
Likelihood Ratio Chi-Square
Mean 881.590
Std Dev 0.000
Degrees of freedom 9983
Number of successful computations 1
Proportions Percentiles
Expected Observed Expected Observed
0.990 0.000 9657.229 881.590
0.980 0.000 9694.953 881.590
0.950 0.000 9751.723 881.590
0.900 0.000 9802.349 881.590
0.800 0.000 9863.888 881.590
0.700 0.000 9908.421 881.590
0.500 0.000 9982.333 881.590
0.300 0.000 10056.612 881.590
0.200 0.000 10101.723 881.590
0.100 0.000 10164.507 881.590
0.050 0.000 10216.551 881.590
0.020 0.000 10275.338 881.590
0.010 0.000 10314.654 881.590
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THE ESTIMATED MODEL
Latent
Classes
1 239.72733 0.47945
2 260.27267 0.52055
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent
Classes
1 239.72733 0.47945
2 260.27267 0.52055
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP
Class Counts and Proportions
Latent
Classes
1 208 0.41600
2 292 0.58400
CLASSIFICATION QUALITY
Entropy 0.437
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2
1 0.863 0.137
2 0.206 0.794
Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 0.749 0.251
2 0.109 0.891
Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 1.093 0.000
2 -2.098 0.000
MODEL RESULTS
ESTIMATES S. E. M. S. E. 95% % Sig
Population Average Std. Dev. Average Cover Coeff
Latent Class 1
I |
U1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U3 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U4 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
S |
U1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
U2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U3 2.000 2.0000 0.0000 0.0000 0.0000 1.000 0.000
U4 3.000 3.0000 0.0000 0.0000 0.0000 1.000 0.000
II |
U1#1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U2#1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U3#1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U4#1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
SI |
U1#1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
U2#1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U3#1 2.000 2.0000 0.0000 0.0000 0.0000 1.000 0.000
U4#1 3.000 3.0000 0.0000 0.0000 0.0000 1.000 0.000
I WITH
S 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
II 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
SI 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
S WITH
II 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
SI 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
II WITH
SI 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Means
I 1.000 0.9413 0.0000 0.0627 0.0034 1.000 1.000
S 0.200 0.2223 0.0000 0.0281 0.0005 1.000 1.000
II 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
SI -0.500 -0.4187 0.0000 0.0530 0.0066 1.000 1.000
Intercepts
U1#1 0.500 0.4279 0.0000 0.0905 0.0052 1.000 1.000
U1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
U2#1 0.500 0.4279 0.0000 0.0905 0.0052 1.000 1.000
U2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
U3#1 0.500 0.4279 0.0000 0.0905 0.0052 1.000 1.000
U3 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
U4#1 0.500 0.4279 0.0000 0.0905 0.0052 1.000 1.000
U4 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Variances
I 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
S 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
II 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
SI 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Latent Class 2
I |
U1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U3 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U4 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
S |
U1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
U2 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U3 2.000 2.0000 0.0000 0.0000 0.0000 1.000 0.000
U4 3.000 3.0000 0.0000 0.0000 0.0000 1.000 0.000
II |
U1#1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U2#1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U3#1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U4#1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
SI |
U1#1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
U2#1 1.000 1.0000 0.0000 0.0000 0.0000 1.000 0.000
U3#1 2.000 2.0000 0.0000 0.0000 0.0000 1.000 0.000
U4#1 3.000 3.0000 0.0000 0.0000 0.0000 1.000 0.000
I WITH
S 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
II 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
SI 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
S WITH
II 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
SI 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
II WITH
SI 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Means
I 0.500 0.5215 0.0000 0.0936 0.0005 1.000 1.000
S 0.000 -0.0240 0.0000 0.0453 0.0006 1.000 0.000
II 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
SI -0.500 -0.4187 0.0000 0.0530 0.0066 1.000 1.000
Intercepts
U1#1 0.500 0.4279 0.0000 0.0905 0.0052 1.000 1.000
U1 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
U2#1 0.500 0.4279 0.0000 0.0905 0.0052 1.000 1.000
U2 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
U3#1 0.500 0.4279 0.0000 0.0905 0.0052 1.000 1.000
U3 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
U4#1 0.500 0.4279 0.0000 0.0905 0.0052 1.000 1.000
U4 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Variances
I 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
S 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
II 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
SI 0.000 0.0000 0.0000 0.0000 0.0000 1.000 0.000
Categorical Latent Variables
Means
C#1 0.000 -0.0822 0.0000 0.1719 0.0068 1.000 0.000
QUALITY OF NUMERICAL RESULTS
Average Condition Number for the Information Matrix 0.346E-02
(ratio of smallest to largest eigenvalue)
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR LATENT CLASS 1
NU
U1#1 U1 U2#1 U2 U3#1
________ ________ ________ ________ ________
1 0 1 0 1
NU
U3 U4#1 U4
________ ________ ________
0 1 0
LAMBDA
I S II SI
________ ________ ________ ________
U1#1 0 0 0 0
U1 0 0 0 0
U2#1 0 0 0 0
U2 0 0 0 0
U3#1 0 0 0 0
U3 0 0 0 0
U4#1 0 0 0 0
U4 0 0 0 0
THETA
U1#1 U1 U2#1 U2 U3#1
________ ________ ________ ________ ________
U1#1 0
U1 0 0
U2#1 0 0 0
U2 0 0 0 0
U3#1 0 0 0 0 0
U3 0 0 0 0 0
U4#1 0 0 0 0 0
U4 0 0 0 0 0
THETA
U3 U4#1 U4
________ ________ ________
U3 0
U4#1 0 0
U4 0 0 0
ALPHA
I S II SI
________ ________ ________ ________
2 3 0 4
BETA
I S II SI
________ ________ ________ ________
I 0 0 0 0
S 0 0 0 0
II 0 0 0 0
SI 0 0 0 0
PSI
I S II SI
________ ________ ________ ________
I 0
S 0 0
II 0 0 0
SI 0 0 0 0
PARAMETER SPECIFICATION FOR LATENT CLASS 2
NU
U1#1 U1 U2#1 U2 U3#1
________ ________ ________ ________ ________
1 0 1 0 1
NU
U3 U4#1 U4
________ ________ ________
0 1 0
LAMBDA
I S II SI
________ ________ ________ ________
U1#1 0 0 0 0
U1 0 0 0 0
U2#1 0 0 0 0
U2 0 0 0 0
U3#1 0 0 0 0
U3 0 0 0 0
U4#1 0 0 0 0
U4 0 0 0 0
THETA
U1#1 U1 U2#1 U2 U3#1
________ ________ ________ ________ ________
U1#1 0
U1 0 0
U2#1 0 0 0
U2 0 0 0 0
U3#1 0 0 0 0 0
U3 0 0 0 0 0
U4#1 0 0 0 0 0
U4 0 0 0 0 0
THETA
U3 U4#1 U4
________ ________ ________
U3 0
U4#1 0 0
U4 0 0 0
ALPHA
I S II SI
________ ________ ________ ________
5 6 0 4
BETA
I S II SI
________ ________ ________ ________
I 0 0 0 0
S 0 0 0 0
II 0 0 0 0
SI 0 0 0 0
PSI
I S II SI
________ ________ ________ ________
I 0
S 0 0
II 0 0 0
SI 0 0 0 0
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
7 0
GAMMA(C)
I S II SI
________ ________ ________ ________
C#1 0 0 0 0
C#2 0 0 0 0
STARTING VALUES FOR LATENT CLASS 1
NU
U1#1 U1 U2#1 U2 U3#1
________ ________ ________ ________ ________
0.500 0.000 0.500 0.000 0.500
NU
U3 U4#1 U4
________ ________ ________
0.000 0.500 0.000
LAMBDA
I S II SI
________ ________ ________ ________
U1#1 0.000 0.000 1.000 0.000
U1 1.000 0.000 0.000 0.000
U2#1 0.000 0.000 1.000 1.000
U2 1.000 1.000 0.000 0.000
U3#1 0.000 0.000 1.000 2.000
U3 1.000 2.000 0.000 0.000
U4#1 0.000 0.000 1.000 3.000
U4 1.000 3.000 0.000 0.000
THETA
U1#1 U1 U2#1 U2 U3#1
________ ________ ________ ________ ________
U1#1 0.000
U1 0.000 0.000
U2#1 0.000 0.000 0.000
U2 0.000 0.000 0.000 0.000
U3#1 0.000 0.000 0.000 0.000 0.000
U3 0.000 0.000 0.000 0.000 0.000
U4#1 0.000 0.000 0.000 0.000 0.000
U4 0.000 0.000 0.000 0.000 0.000
THETA
U3 U4#1 U4
________ ________ ________
U3 0.000
U4#1 0.000 0.000
U4 0.000 0.000 0.000
ALPHA
I S II SI
________ ________ ________ ________
1.000 0.200 0.000 -0.500
BETA
I S II SI
________ ________ ________ ________
I 0.000 0.000 0.000 0.000
S 0.000 0.000 0.000 0.000
II 0.000 0.000 0.000 0.000
SI 0.000 0.000 0.000 0.000
PSI
I S II SI
________ ________ ________ ________
I 0.000
S 0.000 0.000
II 0.000 0.000 0.000
SI 0.000 0.000 0.000 0.000
STARTING VALUES FOR LATENT CLASS 2
NU
U1#1 U1 U2#1 U2 U3#1
________ ________ ________ ________ ________
0.500 0.000 0.500 0.000 0.500
NU
U3 U4#1 U4
________ ________ ________
0.000 0.500 0.000
LAMBDA
I S II SI
________ ________ ________ ________
U1#1 0.000 0.000 1.000 0.000
U1 1.000 0.000 0.000 0.000
U2#1 0.000 0.000 1.000 1.000
U2 1.000 1.000 0.000 0.000
U3#1 0.000 0.000 1.000 2.000
U3 1.000 2.000 0.000 0.000
U4#1 0.000 0.000 1.000 3.000
U4 1.000 3.000 0.000 0.000
THETA
U1#1 U1 U2#1 U2 U3#1
________ ________ ________ ________ ________
U1#1 0.000
U1 0.000 0.000
U2#1 0.000 0.000 0.000
U2 0.000 0.000 0.000 0.000
U3#1 0.000 0.000 0.000 0.000 0.000
U3 0.000 0.000 0.000 0.000 0.000
U4#1 0.000 0.000 0.000 0.000 0.000
U4 0.000 0.000 0.000 0.000 0.000
THETA
U3 U4#1 U4
________ ________ ________
U3 0.000
U4#1 0.000 0.000
U4 0.000 0.000 0.000
ALPHA
I S II SI
________ ________ ________ ________
0.500 0.000 0.000 -0.500
BETA
I S II SI
________ ________ ________ ________
I 0.000 0.000 0.000 0.000
S 0.000 0.000 0.000 0.000
II 0.000 0.000 0.000 0.000
SI 0.000 0.000 0.000 0.000
PSI
I S II SI
________ ________ ________ ________
I 0.000
S 0.000 0.000
II 0.000 0.000 0.000
SI 0.000 0.000 0.000 0.000
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
0.000 0.000
GAMMA(C)
I S II SI
________ ________ ________ ________
C#1 0.000 0.000 0.000 0.000
C#2 0.000 0.000 0.000 0.000
POPULATION VALUES FOR LATENT CLASS 1
NU
U1#1 U1 U2#1 U2 U3#1
________ ________ ________ ________ ________
0.500 0.000 0.500 0.000 0.500
NU
U3 U4#1 U4
________ ________ ________
0.000 0.500 0.000
LAMBDA
I S II SI
________ ________ ________ ________
U1#1 0.000 0.000 1.000 0.000
U1 1.000 0.000 0.000 0.000
U2#1 0.000 0.000 1.000 1.000
U2 1.000 1.000 0.000 0.000
U3#1 0.000 0.000 1.000 2.000
U3 1.000 2.000 0.000 0.000
U4#1 0.000 0.000 1.000 3.000
U4 1.000 3.000 0.000 0.000
THETA
U1#1 U1 U2#1 U2 U3#1
________ ________ ________ ________ ________
U1#1 0.000
U1 0.000 0.000
U2#1 0.000 0.000 0.000
U2 0.000 0.000 0.000 0.000
U3#1 0.000 0.000 0.000 0.000 0.000
U3 0.000 0.000 0.000 0.000 0.000
U4#1 0.000 0.000 0.000 0.000 0.000
U4 0.000 0.000 0.000 0.000 0.000
THETA
U3 U4#1 U4
________ ________ ________
U3 0.000
U4#1 0.000 0.000
U4 0.000 0.000 0.000
ALPHA
I S II SI
________ ________ ________ ________
1.000 0.200 0.000 -0.500
BETA
I S II SI
________ ________ ________ ________
I 0.000 0.000 0.000 0.000
S 0.000 0.000 0.000 0.000
II 0.000 0.000 0.000 0.000
SI 0.000 0.000 0.000 0.000
PSI
I S II SI
________ ________ ________ ________
I 0.000
S 0.000 0.000
II 0.000 0.000 0.000
SI 0.000 0.000 0.000 0.000
POPULATION VALUES FOR LATENT CLASS 2
NU
U1#1 U1 U2#1 U2 U3#1
________ ________ ________ ________ ________
0.500 0.000 0.500 0.000 0.500
NU
U3 U4#1 U4
________ ________ ________
0.000 0.500 0.000
LAMBDA
I S II SI
________ ________ ________ ________
U1#1 0.000 0.000 1.000 0.000
U1 1.000 0.000 0.000 0.000
U2#1 0.000 0.000 1.000 1.000
U2 1.000 1.000 0.000 0.000
U3#1 0.000 0.000 1.000 2.000
U3 1.000 2.000 0.000 0.000
U4#1 0.000 0.000 1.000 3.000
U4 1.000 3.000 0.000 0.000
THETA
U1#1 U1 U2#1 U2 U3#1
________ ________ ________ ________ ________
U1#1 0.000
U1 0.000 0.000
U2#1 0.000 0.000 0.000
U2 0.000 0.000 0.000 0.000
U3#1 0.000 0.000 0.000 0.000 0.000
U3 0.000 0.000 0.000 0.000 0.000
U4#1 0.000 0.000 0.000 0.000 0.000
U4 0.000 0.000 0.000 0.000 0.000
THETA
U3 U4#1 U4
________ ________ ________
U3 0.000
U4#1 0.000 0.000
U4 0.000 0.000 0.000
ALPHA
I S II SI
________ ________ ________ ________
0.500 0.000 0.000 -0.500
BETA
I S II SI
________ ________ ________ ________
I 0.000 0.000 0.000 0.000
S 0.000 0.000 0.000 0.000
II 0.000 0.000 0.000 0.000
SI 0.000 0.000 0.000 0.000
PSI
I S II SI
________ ________ ________ ________
I 0.000
S 0.000 0.000
II 0.000 0.000 0.000
SI 0.000 0.000 0.000 0.000
POPULATION VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
0.000 0.000
GAMMA(C)
I S II SI
________ ________ ________ ________
C#1 0.000 0.000 0.000 0.000
C#2 0.000 0.000 0.000 0.000
TECHNICAL 8 OUTPUT
TECHNICAL 8 OUTPUT FOR REPLICATION 1
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.31106174D+04 0.0000000 0.0000000 EM
2 -0.31072867D+04 3.3307814 0.0010708 EM
3 -0.31072323D+04 0.0543802 0.0000175 EM
4 -0.31072206D+04 0.0116653 0.0000038 EM
5 -0.31072175D+04 0.0031141 0.0000010 EM
6 -0.31072166D+04 0.0009150 0.0000003 EM
TECHNICAL 9 OUTPUT
Error messages for each replication (if any)
SAVEDATA INFORMATION
Order of variables
U1
U2
U3
U4
C
Save file
ex8.11.dat
Save file format Free
Save file record length 10000
Beginning Time: 22:24:43
Ending Time: 22:24:43
Elapsed Time: 00:00:00
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