Mplus VERSION 8
MUTHEN & MUTHEN
04/10/2017 4:29 AM
INPUT INSTRUCTIONS
TITLE:this is an example of two-level mixture
regression for a continuous dependent variable
with a between-level categorical latent variable
DATA: FILE = ex10.2.dat;
VARIABLE: NAMES ARE y x1 x2 w dummy clus;
USEVARIABLES = y-w;
CLASSES = cb(2);
WITHIN = x1 x2;
BETWEEN = cb w;
CLUSTER = clus;
ANALYSIS: TYPE = TWOLEVEL MIXTURE RANDOM;
PROCESSORS = 2;
MODEL:
%WITHIN%
%OVERALL%
y ON x1 x2;
%cb#1%
y ON x1 x2;
%cb#2%
y ON x1 x2;
%BETWEEN%
%OVERALL%
cb ON w;
y ON w;
OUTPUT: TECH1 TECH8;
INPUT READING TERMINATED NORMALLY
this is an example of two-level mixture
regression for a continuous dependent variable
with a between-level categorical latent variable
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 1000
Number of dependent variables 1
Number of independent variables 3
Number of continuous latent variables 0
Number of categorical latent variables 1
Observed dependent variables
Continuous
Y
Observed independent variables
X1 X2 W
Categorical latent variables
CB
Variables with special functions
Cluster variable CLUS
Within variables
X1 X2
Between variables
W
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 1
Adaptive quadrature ON
Random Starts Specifications
Number of initial stage random starts 20
Number of final stage optimizations 4
Number of initial stage iterations 10
Initial stage convergence criterion 0.100D+01
Random starts scale 0.500D+01
Random seed for generating random starts 0
Cholesky OFF
Input data file(s)
ex10.2.dat
Input data format FREE
SUMMARY OF DATA
Number of clusters 110
UNIVARIATE SAMPLE STATISTICS
UNIVARIATE HIGHER-ORDER MOMENT DESCRIPTIVE STATISTICS
Variable/ Mean/ Skewness/ Minimum/ % with Percentiles
Sample Size Variance Kurtosis Maximum Min/Max 20%/60% 40%/80% Median
Y 1.449 -0.010 -9.293 0.10% -0.910 0.753 1.377
1000.000 7.878 0.151 11.074 0.10% 2.100 3.903
X1 -0.024 -0.022 -3.006 0.10% -0.887 -0.320 -0.036
1000.000 1.008 -0.185 3.145 0.10% 0.237 0.860
X2 -0.055 -0.036 -3.111 0.10% -0.903 -0.306 -0.051
1000.000 0.961 -0.141 2.811 0.10% 0.206 0.780
W -0.084 -0.367 -2.894 0.91% -0.853 -0.241 -0.033
110.000 0.947 0.046 1.927 0.91% 0.174 0.720
RANDOM STARTS RESULTS RANKED FROM THE BEST TO THE WORST LOGLIKELIHOOD VALUES
1 perturbed starting value run(s) did not converge.
Final stage loglikelihood values at local maxima, seeds, and initial stage start numbers:
-1574.798 573096 20
-1574.798 903420 5
-1574.799 unperturbed 0
-1718.499 76974 16
THE BEST LOGLIKELIHOOD VALUE HAS BEEN REPLICATED. RERUN WITH AT LEAST TWICE THE
RANDOM STARTS TO CHECK THAT THE BEST LOGLIKELIHOOD IS STILL OBTAINED AND REPLICATED.
THE MODEL ESTIMATION TERMINATED NORMALLY
MODEL FIT INFORMATION
Number of Free Parameters 11
Loglikelihood
H0 Value -1574.798
H0 Scaling Correction Factor 0.9606
for MLR
Information Criteria
Akaike (AIC) 3171.596
Bayesian (BIC) 3225.581
Sample-Size Adjusted BIC 3190.645
(n* = (n + 2) / 24)
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent
Classes
1 503.44183 0.50344
2 496.55817 0.49656
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP
Class Counts and Proportions
Latent
Classes
1 500 0.50000
2 500 0.50000
CLASSIFICATION QUALITY
Entropy 0.928
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2
1 0.981 0.019
2 0.025 0.975
Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 0.975 0.025
2 0.019 0.981
Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 3.654 0.000
2 -3.963 0.000
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Within Level
Latent Class 1
Y ON
X1 1.944 0.059 33.024 0.000
X2 1.018 0.043 23.797 0.000
Residual Variances
Y 1.005 0.046 21.764 0.000
Latent Class 2
Y ON
X1 0.972 0.042 23.367 0.000
X2 1.944 0.059 32.914 0.000
Residual Variances
Y 1.005 0.046 21.764 0.000
Between Level
Latent Class 1
Y ON
W 0.695 0.077 8.979 0.000
Intercepts
Y 0.807 0.143 5.660 0.000
Residual Variances
Y 0.497 0.093 5.358 0.000
Latent Class 2
Y ON
W 0.695 0.077 8.979 0.000
Intercepts
Y 2.463 0.104 23.737 0.000
Residual Variances
Y 0.497 0.093 5.358 0.000
Categorical Latent Variables
Within Level
Between Level
CB#1 ON
W -0.821 0.217 -3.783 0.000
Intercepts
CB#1 0.067 0.217 0.310 0.757
ALTERNATIVE PARAMETERIZATIONS FOR THE CATEGORICAL LATENT VARIABLE REGRESSION
Parameterization using Reference Class 1
CB#2 ON
W 0.821 0.217 3.783 0.000
Intercepts
CB#2 -0.067 0.217 -0.310 0.757
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.203E-01
(ratio of smallest to largest eigenvalue)
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR WITHIN LEVEL, LATENT CLASS 1
NU
Y X1 X2 W
________ ________ ________ ________
0 0 0 0
LAMBDA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
Y 0 0 0 0 0
X1 0 0 0 0 0
X2 0 0 0 0 0
W 0 0 0 0 0
THETA
Y X1 X2 W
________ ________ ________ ________
Y 0
X1 0 0
X2 0 0 0
W 0 0 0 0
ALPHA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
0 0 0 0 0
BETA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0 0 0 0 0
Y 0 0 1 2 0
X1 0 0 0 0 0
X2 0 0 0 0 0
W 0 0 0 0 0
PSI
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0
Y 0 3
X1 0 0 0
X2 0 0 0 0
W 0 0 0 0 0
PARAMETER SPECIFICATION FOR WITHIN LEVEL, LATENT CLASS 2
NU
Y X1 X2 W
________ ________ ________ ________
0 0 0 0
LAMBDA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
Y 0 0 0 0 0
X1 0 0 0 0 0
X2 0 0 0 0 0
W 0 0 0 0 0
THETA
Y X1 X2 W
________ ________ ________ ________
Y 0
X1 0 0
X2 0 0 0
W 0 0 0 0
ALPHA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
0 0 0 0 0
BETA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0 0 0 0 0
Y 0 0 4 5 0
X1 0 0 0 0 0
X2 0 0 0 0 0
W 0 0 0 0 0
PSI
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0
Y 0 3
X1 0 0 0
X2 0 0 0 0
W 0 0 0 0 0
PARAMETER SPECIFICATION FOR BETWEEN LEVEL, LATENT CLASS 1
NU
Y X1 X2 W
________ ________ ________ ________
0 0 0 0
LAMBDA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
Y 0 0 0 0 0
X1 0 0 0 0 0
X2 0 0 0 0 0
W 0 0 0 0 0
THETA
Y X1 X2 W
________ ________ ________ ________
Y 0
X1 0 0
X2 0 0 0
W 0 0 0 0
ALPHA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
0 6 0 0 0
BETA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0 0 0 0 0
Y 0 0 0 0 7
X1 0 0 0 0 0
X2 0 0 0 0 0
W 0 0 0 0 0
PSI
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0
Y 0 8
X1 0 0 0
X2 0 0 0 0
W 0 0 0 0 0
PARAMETER SPECIFICATION FOR BETWEEN LEVEL, LATENT CLASS 2
NU
Y X1 X2 W
________ ________ ________ ________
0 0 0 0
LAMBDA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
Y 0 0 0 0 0
X1 0 0 0 0 0
X2 0 0 0 0 0
W 0 0 0 0 0
THETA
Y X1 X2 W
________ ________ ________ ________
Y 0
X1 0 0
X2 0 0 0
W 0 0 0 0
ALPHA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
0 9 0 0 0
BETA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0 0 0 0 0
Y 0 0 0 0 7
X1 0 0 0 0 0
X2 0 0 0 0 0
W 0 0 0 0 0
PSI
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0
Y 0 8
X1 0 0 0
X2 0 0 0 0
W 0 0 0 0 0
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART (WITHIN)
ALPHA(C)
CB#1 CB#2
________ ________
0 0
GAMMA(C)
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0 0 0 0 0
CB#2 0 0 0 0 0
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART (BETWEEN)
ALPHA(C)
CB#1 CB#2
________ ________
10 0
GAMMA(C)
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0 0 0 0 11
CB#2 0 0 0 0 0
STARTING VALUES FOR WITHIN LEVEL, LATENT CLASS 1
NU
Y X1 X2 W
________ ________ ________ ________
0.000 0.000 0.000 0.000
LAMBDA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
Y 0.000 1.000 0.000 0.000 0.000
X1 0.000 0.000 1.000 0.000 0.000
X2 0.000 0.000 0.000 1.000 0.000
W 0.000 0.000 0.000 0.000 1.000
THETA
Y X1 X2 W
________ ________ ________ ________
Y 0.000
X1 0.000 0.000
X2 0.000 0.000 0.000
W 0.000 0.000 0.000 0.000
ALPHA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
BETA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0.000 0.000 0.000 0.000 0.000
Y 0.000 0.000 0.000 0.000 0.000
X1 0.000 0.000 0.000 0.000 0.000
X2 0.000 0.000 0.000 0.000 0.000
W 0.000 0.000 0.000 0.000 0.000
PSI
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0.000
Y 0.000 3.939
X1 0.000 0.000 0.504
X2 0.000 0.000 0.000 0.480
W 0.000 0.000 0.000 0.000 0.000
STARTING VALUES FOR WITHIN LEVEL, LATENT CLASS 2
NU
Y X1 X2 W
________ ________ ________ ________
0.000 0.000 0.000 0.000
LAMBDA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
Y 0.000 1.000 0.000 0.000 0.000
X1 0.000 0.000 1.000 0.000 0.000
X2 0.000 0.000 0.000 1.000 0.000
W 0.000 0.000 0.000 0.000 1.000
THETA
Y X1 X2 W
________ ________ ________ ________
Y 0.000
X1 0.000 0.000
X2 0.000 0.000 0.000
W 0.000 0.000 0.000 0.000
ALPHA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
0.000 0.000 0.000 0.000 0.000
BETA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0.000 0.000 0.000 0.000 0.000
Y 0.000 0.000 0.000 0.000 0.000
X1 0.000 0.000 0.000 0.000 0.000
X2 0.000 0.000 0.000 0.000 0.000
W 0.000 0.000 0.000 0.000 0.000
PSI
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0.000
Y 0.000 3.939
X1 0.000 0.000 0.504
X2 0.000 0.000 0.000 0.480
W 0.000 0.000 0.000 0.000 0.000
STARTING VALUES FOR BETWEEN LEVEL, LATENT CLASS 1
NU
Y X1 X2 W
________ ________ ________ ________
0.000 0.000 0.000 0.000
LAMBDA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
Y 0.000 1.000 0.000 0.000 0.000
X1 0.000 0.000 1.000 0.000 0.000
X2 0.000 0.000 0.000 1.000 0.000
W 0.000 0.000 0.000 0.000 1.000
THETA
Y X1 X2 W
________ ________ ________ ________
Y 0.000
X1 0.000 0.000
X2 0.000 0.000 0.000
W 0.000 0.000 0.000 0.000
ALPHA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
0.000 -1.358 0.000 0.000 0.000
BETA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0.000 0.000 0.000 0.000 0.000
Y 0.000 0.000 0.000 0.000 0.000
X1 0.000 0.000 0.000 0.000 0.000
X2 0.000 0.000 0.000 0.000 0.000
W 0.000 0.000 0.000 0.000 0.000
PSI
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0.000
Y 0.000 3.939
X1 0.000 0.000 0.000
X2 0.000 0.000 0.000 0.000
W 0.000 0.000 0.000 0.000 0.471
STARTING VALUES FOR BETWEEN LEVEL, LATENT CLASS 2
NU
Y X1 X2 W
________ ________ ________ ________
0.000 0.000 0.000 0.000
LAMBDA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
Y 0.000 1.000 0.000 0.000 0.000
X1 0.000 0.000 1.000 0.000 0.000
X2 0.000 0.000 0.000 1.000 0.000
W 0.000 0.000 0.000 0.000 1.000
THETA
Y X1 X2 W
________ ________ ________ ________
Y 0.000
X1 0.000 0.000
X2 0.000 0.000 0.000
W 0.000 0.000 0.000 0.000
ALPHA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
0.000 4.256 0.000 0.000 0.000
BETA
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0.000 0.000 0.000 0.000 0.000
Y 0.000 0.000 0.000 0.000 0.000
X1 0.000 0.000 0.000 0.000 0.000
X2 0.000 0.000 0.000 0.000 0.000
W 0.000 0.000 0.000 0.000 0.000
PSI
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0.000
Y 0.000 3.939
X1 0.000 0.000 0.000
X2 0.000 0.000 0.000 0.000
W 0.000 0.000 0.000 0.000 0.471
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART (WITHIN)
ALPHA(C)
CB#1 CB#2
________ ________
0.000 0.000
GAMMA(C)
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0.000 0.000 0.000 0.000 0.000
CB#2 0.000 0.000 0.000 0.000 0.000
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART (BETWEEN)
ALPHA(C)
CB#1 CB#2
________ ________
0.000 0.000
GAMMA(C)
CB#1 Y X1 X2 W
________ ________ ________ ________ ________
CB#1 0.000 0.000 0.000 0.000 0.000
CB#2 0.000 0.000 0.000 0.000 0.000
TECHNICAL 8 OUTPUT
INITIAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.24402700D+04 0.0000000 0.0000000 491.269 508.731 EM
2 -0.17814527D+04 658.8172919 0.2699772 510.773 489.227 EM
3 -0.16800895D+04 101.3631646 0.0568992 512.734 487.266 EM
4 -0.16585313D+04 21.5582310 0.0128316 512.645 487.355 EM
5 -0.16519224D+04 6.6089197 0.0039848 517.285 482.715 EM
6 -0.16500961D+04 1.8262822 0.0011055 510.864 489.136 EM
7 -0.16452372D+04 4.8588774 0.0029446 509.937 490.063 EM
8 -0.16432253D+04 2.0118994 0.0012229 505.566 494.434 EM
9 -0.16385767D+04 4.6485986 0.0028289 509.642 490.358 EM
10 -0.16377290D+04 0.8477318 0.0005174 508.150 491.850 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.39627439D+04 0.0000000 0.0000000 388.391 611.609 EM
2 -0.19151255D+04 2047.6184705 0.5167173 235.065 764.935 EM
3 -0.17405269D+04 174.5986006 0.0911682 226.942 773.058 EM
4 -0.17155585D+04 24.9683244 0.0143453 231.638 768.362 EM
5 -0.17139083D+04 1.6501973 0.0009619 239.998 760.002 EM
6 -0.17110284D+04 2.8799248 0.0016803 253.676 746.324 EM
7 -0.17067921D+04 4.2362867 0.0024759 267.589 732.411 EM
8 -0.17059327D+04 0.8594792 0.0005036 288.705 711.295 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.50959470D+04 0.0000000 0.0000000 161.825 838.175 EM
2 -0.30849062D+04 2011.0407548 0.3946353 404.912 595.088 EM
3 -0.22191322D+04 865.7740051 0.2806484 425.018 574.982 EM
4 -0.19638495D+04 255.2827014 0.1150372 322.278 677.722 EM
5 -0.18899850D+04 73.8645492 0.0376121 314.012 685.988 EM
6 -0.18721272D+04 17.8577364 0.0094486 371.758 628.242 EM
7 -0.18623948D+04 9.7323962 0.0051986 411.951 588.049 EM
8 -0.18456852D+04 16.7096209 0.0089721 442.420 557.580 EM
9 -0.18444016D+04 1.2836094 0.0006955 479.326 520.674 EM
10 -0.18437274D+04 0.6742610 0.0003656 473.222 526.778 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.49010271D+04 0.0000000 0.0000000 543.302 456.698 EM
2 -0.67798103D+04 ************ -0.3833448 709.271 290.729 EM
3 -0.26762499D+04 4103.5604211 0.6052618 639.218 360.782 EM
4 -0.22177098D+04 458.5400463 0.1713368 421.106 578.894 EM
5 -0.24668507D+04 -249.1408655 -0.1123415 445.624 554.376 EM
6 -0.21746117D+04 292.2389678 0.1184664 584.848 415.152 EM
7 -0.19128878D+04 261.7239199 0.1203543 422.153 577.847 EM
8 -0.26124492D+04 -699.5614013 -0.3657096 424.356 575.644 EM
9 -0.23503300D+04 262.1192691 0.1003347 371.984 628.016 EM
10 -0.22425906D+04 107.7393675 0.0458401 361.281 638.719 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.34161133D+04 0.0000000 0.0000000 385.992 614.008 EM
2 -0.19856138D+04 1430.4995001 0.4187506 290.191 709.809 EM
3 -0.18741694D+04 111.4443624 0.0561259 211.473 788.527 EM
4 -0.18317153D+04 42.4540743 0.0226522 209.312 790.688 EM
5 -0.18194209D+04 12.2944522 0.0067120 218.063 781.937 EM
6 -0.18185290D+04 0.8918745 0.0004902 198.946 801.054 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.27087504D+04 0.0000000 0.0000000 91.208 908.792 EM
2 -0.19352983D+04 773.4520252 0.2855383 158.031 841.969 EM
3 -0.17617369D+04 173.5614064 0.0896820 307.602 692.398 EM
4 -0.16686240D+04 93.1129144 0.0528529 471.007 528.993 EM
5 -0.16282568D+04 40.3672336 0.0241919 490.464 509.536 EM
6 -0.16215350D+04 6.7217436 0.0041282 492.176 507.824 EM
7 -0.16178978D+04 3.6371972 0.0022431 492.238 507.762 EM
8 -0.16142449D+04 3.6529487 0.0022578 492.145 507.855 EM
9 -0.16105078D+04 3.7370518 0.0023150 492.027 507.973 EM
10 -0.16068055D+04 3.7023716 0.0022989 491.789 508.211 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.38271679D+04 0.0000000 0.0000000 37.014 962.986 EM
2 -0.21944924D+04 1632.6754762 0.4266015 6.531 993.469 EM
3 -0.20494183D+04 145.0741044 0.0661083 12.327 987.673 EM
4 -0.18965866D+04 152.8317585 0.0745732 16.272 983.728 EM
5 -0.18535565D+04 43.0300644 0.0226882 23.175 976.825 EM
6 -0.18492757D+04 4.2807987 0.0023095 31.613 968.387 EM
7 -0.18467282D+04 2.5475212 0.0013776 36.644 963.356 EM
8 -0.18460963D+04 0.6318461 0.0003421 39.759 960.241 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.54966603D+04 0.0000000 0.0000000 728.771 271.229 EM
2 -0.20084927D+04 3488.1676146 0.6345976 757.006 242.994 EM
3 -0.18021596D+04 206.3331039 0.1027303 744.453 255.547 EM
4 -0.17871269D+04 15.0327109 0.0083415 719.168 280.832 EM
5 -0.17906732D+04 -3.5463121 -0.0019844 713.575 286.425 EM
6 -0.17783642D+04 12.3090046 0.0068740 724.286 275.714 EM
7 -0.17792897D+04 -0.9254637 -0.0005204 710.559 289.441 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.30316448D+04 0.0000000 0.0000000 102.072 897.928 EM
2 -0.75018996D+04 ************ -1.4745312 84.716 915.284 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.61729718D+04 0.0000000 0.0000000 591.271 408.729 EM
2 -0.23485068D+04 3824.4649860 0.6195501 517.683 482.317 EM
3 -0.20116119D+04 336.8948254 0.1434507 615.653 384.347 EM
4 -0.18650742D+04 146.5377469 0.0728459 618.058 381.942 EM
5 -0.18384801D+04 26.5941167 0.0142590 608.336 391.664 EM
6 -0.18301722D+04 8.3078939 0.0045189 593.898 406.102 EM
7 -0.18173649D+04 12.8073209 0.0069979 563.314 436.686 EM
8 -0.18187285D+04 -1.3636482 -0.0007503 536.101 463.899 EM
9 -0.18150042D+04 3.7242802 0.0020477 516.112 483.888 EM
10 -0.18094358D+04 5.5684837 0.0030680 520.631 479.369 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.27445523D+04 0.0000000 0.0000000 941.798 58.202 EM
2 -0.32685309D+04 -523.9786528 -0.1909159 950.254 49.746 EM
3 -0.22505752D+04 1017.9557462 0.3114414 946.764 53.236 EM
4 -0.19628527D+04 287.7224694 0.1278440 954.511 45.489 EM
5 -0.19275731D+04 35.2796156 0.0179736 954.774 45.226 EM
6 -0.19195114D+04 8.0617056 0.0041823 953.222 46.778 EM
7 -0.19174251D+04 2.0863301 0.0010869 954.324 45.676 EM
8 -0.19229203D+04 -5.4952259 -0.0028659 951.661 48.339 EM
9 -0.19198642D+04 3.0560743 0.0015893 950.368 49.632 EM
10 -0.19193475D+04 0.5167082 0.0002691 950.368 49.632 EM
FINAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.27087504D+04 0.0000000 0.0000000 91.208 908.792 EM
2 -0.19352983D+04 773.4520252 0.2855383 158.031 841.969 EM
3 -0.17617369D+04 173.5614064 0.0896820 307.602 692.398 EM
4 -0.16686240D+04 93.1129144 0.0528529 471.007 528.993 EM
5 -0.16282568D+04 40.3672336 0.0241919 490.464 509.536 EM
6 -0.16215350D+04 6.7217436 0.0041282 492.176 507.824 EM
7 -0.16178978D+04 3.6371972 0.0022431 492.238 507.762 EM
8 -0.16142449D+04 3.6529487 0.0022578 492.145 507.855 EM
9 -0.16105078D+04 3.7370518 0.0023150 492.027 507.973 EM
10 -0.16068055D+04 3.7023716 0.0022989 491.789 508.211 EM
11 -0.16031456D+04 3.6598225 0.0022777 491.548 508.452 EM
12 -0.15995049D+04 3.6407082 0.0022710 491.972 508.028 EM
13 -0.15949525D+04 4.5524057 0.0028461 497.916 502.084 EM
14 -0.15915888D+04 3.3637786 0.0021090 498.993 501.007 EM
15 -0.15884081D+04 3.1806611 0.0019984 501.625 498.375 EM
16 -0.15858097D+04 2.5983630 0.0016358 501.834 498.166 EM
17 -0.15836446D+04 2.1651113 0.0013653 501.353 498.647 EM
18 -0.15818160D+04 1.8286178 0.0011547 501.064 498.936 EM
19 -0.15800823D+04 1.7337425 0.0010960 503.728 496.272 EM
20 -0.15785739D+04 1.5084042 0.0009546 506.685 493.315 EM
21 -0.15776792D+04 0.8946900 0.0005668 506.297 493.703 EM
22 -0.15769674D+04 0.7117242 0.0004511 506.014 493.986 EM
23 -0.15764313D+04 0.5361128 0.0003400 505.522 494.478 EM
24 -0.15760174D+04 0.4139240 0.0002626 505.111 494.889 EM
25 -0.15757046D+04 0.3128013 0.0001985 504.777 495.223 EM
26 -0.15754624D+04 0.2421982 0.0001537 504.594 495.406 EM
27 -0.15752816D+04 0.1808160 0.0001148 504.457 495.543 EM
28 -0.15751556D+04 0.1259887 0.0000800 504.267 495.733 EM
29 -0.15750633D+04 0.0922936 0.0000586 504.098 495.902 EM
30 -0.15749950D+04 0.0683445 0.0000434 503.960 496.040 EM
31 -0.15749443D+04 0.0506354 0.0000321 503.848 496.152 EM
32 -0.15749068D+04 0.0375439 0.0000238 503.758 496.242 EM
33 -0.15748789D+04 0.0278611 0.0000177 503.685 496.315 EM
34 -0.15748582D+04 0.0206954 0.0000131 503.627 496.373 EM
35 -0.15748428D+04 0.0153871 0.0000098 503.581 496.419 EM
36 -0.15748314D+04 0.0114506 0.0000073 503.543 496.457 EM
37 -0.15747999D+04 0.0315218 0.0000200 503.505 496.495 FS
38 -0.15747981D+04 0.0017164 0.0000011 503.457 496.543 EM
39 -0.15747980D+04 0.0001113 0.0000001 503.437 496.563 EM
TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.24402700D+04 0.0000000 0.0000000 491.269 508.731 EM
2 -0.17814527D+04 658.8172919 0.2699772 510.773 489.227 EM
3 -0.16800895D+04 101.3631646 0.0568992 512.734 487.266 EM
4 -0.16585313D+04 21.5582310 0.0128316 512.645 487.355 EM
5 -0.16519224D+04 6.6089197 0.0039848 517.285 482.715 EM
6 -0.16500961D+04 1.8262822 0.0011055 510.864 489.136 EM
7 -0.16452372D+04 4.8588774 0.0029446 509.937 490.063 EM
8 -0.16432253D+04 2.0118994 0.0012229 505.566 494.434 EM
9 -0.16385767D+04 4.6485986 0.0028289 509.642 490.358 EM
10 -0.16377290D+04 0.8477318 0.0005174 508.150 491.850 EM
11 -0.16336673D+04 4.0616385 0.0024800 510.719 489.281 EM
12 -0.16298616D+04 3.8057084 0.0023295 508.959 491.041 EM
13 -0.16254405D+04 4.4210986 0.0027126 505.532 494.468 EM
14 -0.16228307D+04 2.6098140 0.0016056 502.373 497.627 EM
15 -0.16181306D+04 4.7000598 0.0028962 507.532 492.468 EM
16 -0.16152063D+04 2.9243503 0.0018072 504.941 495.059 EM
17 -0.16107489D+04 4.4573516 0.0027596 505.509 494.491 EM
18 -0.16065602D+04 4.1887415 0.0026005 507.278 492.722 EM
19 -0.16038271D+04 2.7331124 0.0017012 506.685 493.315 EM
20 -0.16000300D+04 3.7971008 0.0023675 505.623 494.377 EM
21 -0.15961364D+04 3.8936023 0.0024335 506.186 493.814 EM
22 -0.15931448D+04 2.9915776 0.0018743 505.595 494.405 EM
23 -0.15897772D+04 3.3676069 0.0021138 505.670 494.330 EM
24 -0.15871929D+04 2.5843009 0.0016256 504.565 495.435 EM
25 -0.15845595D+04 2.6333577 0.0016591 504.691 495.309 EM
26 -0.15826073D+04 1.9522196 0.0012320 503.659 496.341 EM
27 -0.15808175D+04 1.7898383 0.0011309 503.717 496.283 EM
28 -0.15794715D+04 1.3460364 0.0008515 503.225 496.775 EM
29 -0.15783682D+04 1.1033000 0.0006985 503.174 496.826 EM
30 -0.15775239D+04 0.8442143 0.0005349 502.985 497.015 EM
31 -0.15768670D+04 0.6569070 0.0004164 502.913 497.087 EM
32 -0.15763668D+04 0.5002167 0.0003172 502.840 497.160 EM
33 -0.15759857D+04 0.3811182 0.0002418 502.806 497.194 EM
34 -0.15756962D+04 0.2895136 0.0001837 502.802 497.198 EM
35 -0.15754742D+04 0.2219916 0.0001409 502.846 497.154 EM
36 -0.15753005D+04 0.1736556 0.0001102 502.955 497.045 EM
37 -0.15751673D+04 0.1332577 0.0000846 503.077 496.923 EM
38 -0.15750732D+04 0.0940544 0.0000597 503.123 496.877 EM
39 -0.15750042D+04 0.0690182 0.0000438 503.147 496.853 EM
40 -0.15748206D+04 0.1836425 0.0001166 503.356 496.644 FS
41 -0.15747990D+04 0.0216076 0.0000137 503.430 496.570 EM
42 -0.15747986D+04 0.0003666 0.0000002 503.461 496.539 EM
Beginning Time: 04:29:45
Ending Time: 04:29:47
Elapsed Time: 00:00:02
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