Mplus VERSION 8.8
MUTHEN & MUTHEN
04/19/2022 11:13 PM
INPUT INSTRUCTIONS
TITLE: this is an example of a zero-inflated
Poisson regression carried out as a two-
class model
DATA: FILE IS ex7.25.dat;
VARIABLE: NAMES ARE u1 x1 x3;
COUNT IS u1;
CLASSES = c (2);
ANALYSIS: TYPE = MIXTURE;
MODEL:
%OVERALL%
u1 ON x1 x3;
c ON x1 x3;
%c#1%
[u1@-15];
u1 ON x1@0 x3@0;
OUTPUT: TECH1 TECH8;
INPUT READING TERMINATED NORMALLY
this is an example of a zero-inflated
Poisson regression carried out as a two-
class model
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 500
Number of dependent variables 1
Number of independent variables 2
Number of continuous latent variables 0
Number of categorical latent variables 1
Observed dependent variables
Count
U1
Observed independent variables
X1 X3
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-06
Relative loglikelihood change 0.100D-06
Derivative 0.100D-05
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-05
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-05
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
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
Input data file(s)
ex7.25.dat
Input data format FREE
COUNT PROPORTION OF ZERO, MINIMUM AND MAXIMUM VALUES
U1 0.448 0 11
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
X1 0.020 -0.129 -3.139 0.20% -0.833 -0.200 -0.002
500.000 1.070 0.174 2.970 0.20% 0.322 0.887
X3 -0.022 -0.043 -2.976 0.20% -0.919 -0.209 -0.010
500.000 0.974 -0.258 2.619 0.20% 0.246 0.825
RANDOM STARTS RESULTS RANKED FROM THE BEST TO THE WORST LOGLIKELIHOOD VALUES
Final stage loglikelihood values at local maxima, seeds, and initial stage start numbers:
-724.663 195873 6
-724.663 851945 18
-724.663 76974 16
-724.663 650371 14
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 6
Loglikelihood
H0 Value -724.663
H0 Scaling Correction Factor 1.0130
for MLR
Information Criteria
Akaike (AIC) 1461.327
Bayesian (BIC) 1486.614
Sample-Size Adjusted BIC 1467.570
(n* = (n + 2) / 24)
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THE ESTIMATED MODEL
Latent
Classes
1 173.59097 0.34718
2 326.40903 0.65282
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent
Classes
1 173.59088 0.34718
2 326.40912 0.65282
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASSES
BASED ON THEIR MOST LIKELY LATENT CLASS MEMBERSHIP
Class Counts and Proportions
Latent
Classes
1 177 0.35400
2 323 0.64600
CLASSIFICATION QUALITY
Entropy 0.896
Average Latent Class Probabilities for Most Likely Latent Class Membership (Row)
by Latent Class (Column)
1 2
1 0.947 0.053
2 0.019 0.981
Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 0.966 0.034
2 0.029 0.971
Logits for the Classification Probabilities for the Most Likely Latent Class Membership (Column)
by Latent Class (Row)
1 2
1 3.333 0.000
2 -3.519 0.000
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Latent Class 1
U1 ON
X1 0.000 0.000 999.000 999.000
X3 0.000 0.000 999.000 999.000
Intercepts
U1 -15.000 0.000 999.000 999.000
Latent Class 2
U1 ON
X1 0.634 0.049 12.837 0.000
X3 0.287 0.036 8.041 0.000
Intercepts
U1 1.042 0.040 26.059 0.000
Categorical Latent Variables
C#1 ON
X1 2.189 0.291 7.516 0.000
X3 0.961 0.172 5.580 0.000
Intercepts
C#1 -1.238 0.224 -5.517 0.000
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.120E-01
(ratio of smallest to largest eigenvalue)
LOGISTIC REGRESSION ODDS RATIO RESULTS
95% C.I.
Estimate S.E. Lower 2.5% Upper 2.5%
Categorical Latent Variables
C#1 ON
X1 8.928 2.600 5.044 15.800
X3 2.613 0.450 1.865 3.662
ALTERNATIVE PARAMETERIZATIONS FOR THE CATEGORICAL LATENT VARIABLE REGRESSION
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Parameterization using Reference Class 1
C#2 ON
X1 -2.189 0.291 -7.516 0.000
X3 -0.961 0.172 -5.580 0.000
Intercepts
C#2 1.238 0.224 5.517 0.000
ODDS RATIO FOR THE ALTERNATIVE PARAMETERIZATIONS FOR THE CATEGORICAL LATENT VARIABLE REGRESSION
95% C.I.
Estimate S.E. Lower 2.5% Upper 2.5%
Parameterization using Reference Class 1
C#2 ON
X1 0.112 0.033 0.063 0.198
X3 0.383 0.066 0.273 0.536
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR LATENT CLASS 1
NU
X1 X3
________ ________
0 0
LAMBDA
X1 X3
________ ________
X1 0 0
X3 0 0
THETA
X1 X3
________ ________
X1 0
X3 0 0
ALPHA
X1 X3
________ ________
0 0
BETA
X1 X3
________ ________
X1 0 0
X3 0 0
PSI
X1 X3
________ ________
X1 0
X3 0 0
PARAMETER SPECIFICATION FOR LATENT CLASS 2
NU
X1 X3
________ ________
0 0
LAMBDA
X1 X3
________ ________
X1 0 0
X3 0 0
THETA
X1 X3
________ ________
X1 0
X3 0 0
ALPHA
X1 X3
________ ________
0 0
BETA
X1 X3
________ ________
X1 0 0
X3 0 0
PSI
X1 X3
________ ________
X1 0
X3 0 0
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
1 0
GAMMA(C)
X1 X3
________ ________
C#1 2 3
C#2 0 0
PARAMETER SPECIFICATION FOR THE CENSORED/NOMINAL/COUNT MODEL PART
NU(P) FOR LATENT CLASS 1
U1#1 U1
________ ________
0 0
KAPPA(P) FOR LATENT CLASS 1
X1 X3
________ ________
U1#1 0 0
U1 0 0
NU(P) FOR LATENT CLASS 2
U1#1 U1
________ ________
0 4
KAPPA(P) FOR LATENT CLASS 2
X1 X3
________ ________
U1#1 0 0
U1 5 6
STARTING VALUES FOR LATENT CLASS 1
NU
X1 X3
________ ________
0.000 0.000
LAMBDA
X1 X3
________ ________
X1 1.000 0.000
X3 0.000 1.000
THETA
X1 X3
________ ________
X1 0.000
X3 0.000 0.000
ALPHA
X1 X3
________ ________
0.000 0.000
BETA
X1 X3
________ ________
X1 0.000 0.000
X3 0.000 0.000
PSI
X1 X3
________ ________
X1 0.535
X3 0.000 0.487
STARTING VALUES FOR LATENT CLASS 2
NU
X1 X3
________ ________
0.000 0.000
LAMBDA
X1 X3
________ ________
X1 1.000 0.000
X3 0.000 1.000
THETA
X1 X3
________ ________
X1 0.000
X3 0.000 0.000
ALPHA
X1 X3
________ ________
0.000 0.000
BETA
X1 X3
________ ________
X1 0.000 0.000
X3 0.000 0.000
PSI
X1 X3
________ ________
X1 0.535
X3 0.000 0.487
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
C#1 C#2
________ ________
0.000 0.000
GAMMA(C)
X1 X3
________ ________
C#1 0.000 0.000
C#2 0.000 0.000
STARTING VALUES FOR THE CENSORED/NOMINAL/COUNT MODEL PART
NU(P) FOR LATENT CLASS 1
U1#1 U1
________ ________
-20.000 -15.000
KAPPA(P) FOR LATENT CLASS 1
X1 X3
________ ________
U1#1 0.000 0.000
U1 0.000 0.000
NU(P) FOR LATENT CLASS 2
U1#1 U1
________ ________
-20.000 2.195
KAPPA(P) FOR LATENT CLASS 2
X1 X3
________ ________
U1#1 0.000 0.000
U1 0.000 0.000
TECHNICAL 8 OUTPUT
INITIAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR UNPERTURBED STARTING VALUE SET
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.16896387D+04 0.0000000 0.0000000 EM
2 -0.92644708D+03 763.1916698 0.4516893 EM
3 -0.77423935D+03 152.2077300 0.1642919 EM
4 -0.74048448D+03 33.7548675 0.0435975 EM
5 -0.73061703D+03 9.8674514 0.0133257 EM
6 -0.72686283D+03 3.7541989 0.0051384 EM
7 -0.72543992D+03 1.4229112 0.0019576 EM
8 -0.72492901D+03 0.5109100 0.0007043 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.29240227D+04 0.0000000 0.0000000 EM
2 -0.16438381D+04 1280.1845818 0.4378162 EM
3 -0.10641878D+04 579.6502685 0.3526200 EM
4 -0.86852541D+03 195.6624199 0.1838608 EM
5 -0.77081249D+03 97.7129247 0.1125044 EM
6 -0.73984556D+03 30.9669278 0.0401744 EM
7 -0.73046985D+03 9.3757164 0.0126725 EM
8 -0.72680289D+03 3.6669578 0.0050200 EM
9 -0.72541771D+03 1.3851770 0.0019058 EM
10 -0.72492125D+03 0.4964646 0.0006844 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.65284726D+04 0.0000000 0.0000000 EM
2 -0.13246110D+04 5203.8616134 0.7971025 EM
3 -0.85244489D+03 472.1661416 0.3564564 EM
4 -0.75201491D+03 100.4299845 0.1178140 EM
5 -0.73287913D+03 19.1357798 0.0254460 EM
6 -0.72765453D+03 5.2245932 0.0071289 EM
7 -0.72572510D+03 1.9294353 0.0026516 EM
8 -0.72502877D+03 0.6963253 0.0009595 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.81477168D+04 0.0000000 0.0000000 EM
2 -0.59427000D+04 2205.0167665 0.2706300 EM
3 -0.39624676D+04 1980.2323766 0.3332210 EM
4 -0.23176095D+04 1644.8581138 0.4151095 EM
5 -0.12474631D+04 1070.1464198 0.4617458 EM
6 -0.87090175D+03 376.5613313 0.3018617 EM
7 -0.76309479D+03 107.8069578 0.1237877 EM
8 -0.73719646D+03 25.8983262 0.0339385 EM
9 -0.72939342D+03 7.8030448 0.0105848 EM
10 -0.72638920D+03 3.0042159 0.0041188 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.90823136D+04 0.0000000 0.0000000 EM
2 -0.73950622D+04 1687.2514053 0.1857733 EM
3 -0.52608965D+04 2134.1656652 0.2885933 EM
4 -0.32151440D+04 2045.7524919 0.3888601 EM
5 -0.17735482D+04 1441.5958501 0.4483768 EM
6 -0.10071538D+04 766.3944037 0.4321249 EM
7 -0.78982669D+03 217.3271075 0.2157834 EM
8 -0.74067858D+03 49.1481051 0.0622264 EM
9 -0.73027957D+03 10.3990104 0.0140398 EM
10 -0.72671715D+03 3.5624215 0.0048782 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.17833177D+04 0.0000000 0.0000000 EM
2 -0.81734850D+03 965.9691729 0.5416697 EM
3 -0.74152070D+03 75.8277991 0.0927729 EM
4 -0.72989317D+03 11.6275287 0.0156807 EM
5 -0.72653335D+03 3.3598237 0.0046032 EM
6 -0.72531732D+03 1.2160294 0.0016737 EM
7 -0.72488612D+03 0.4311989 0.0005945 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.10307417D+05 0.0000000 0.0000000 EM
2 -0.56073161D+04 4700.1009965 0.4559921 EM
3 -0.28431545D+04 2764.1616512 0.4929563 EM
4 -0.13175847D+04 1525.5697630 0.5365765 EM
5 -0.83517489D+03 482.4098472 0.3661319 EM
6 -0.73349418D+03 101.6807020 0.1217478 EM
7 -0.72510077D+03 8.3934098 0.0114430 EM
8 -0.72477392D+03 0.3268564 0.0004508 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.55022752D+04 0.0000000 0.0000000 EM
2 -0.30130241D+04 2489.2510452 0.4524040 EM
3 -0.16863932D+04 1326.6309514 0.4402988 EM
4 -0.10344771D+04 651.9161137 0.3865742 EM
5 -0.82389659D+03 210.5804834 0.2035623 EM
6 -0.75372994D+03 70.1666545 0.0851644 EM
7 -0.73456676D+03 19.1631793 0.0254245 EM
8 -0.72835662D+03 6.2101359 0.0084541 EM
9 -0.72599290D+03 2.3637246 0.0032453 EM
10 -0.72512476D+03 0.8681386 0.0011958 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.62104137D+04 0.0000000 0.0000000 EM
2 -0.34071392D+04 2803.2745577 0.4513829 EM
3 -0.18321862D+04 1574.9529922 0.4622509 EM
4 -0.10171602D+04 815.0260096 0.4448380 EM
5 -0.77727585D+03 239.8843283 0.2358373 EM
6 -0.73021452D+03 47.0613338 0.0605465 EM
7 -0.72554983D+03 4.6646874 0.0063881 EM
8 -0.72491398D+03 0.6358558 0.0008764 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.58027413D+04 0.0000000 0.0000000 EM
2 -0.32288733D+04 2573.8679572 0.4435607 EM
3 -0.18709136D+04 1357.9597331 0.4205677 EM
4 -0.11313880D+04 739.5255613 0.3952751 EM
5 -0.86027548D+03 271.1125381 0.2396283 EM
6 -0.76568066D+03 94.5948244 0.1099588 EM
7 -0.73733768D+03 28.3429767 0.0370167 EM
8 -0.72932881D+03 8.0088707 0.0108619 EM
9 -0.72635575D+03 2.9730573 0.0040764 EM
10 -0.72525489D+03 1.1008690 0.0015156 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.45067545D+04 0.0000000 0.0000000 EM
2 -0.86719217D+03 3639.5622867 0.8075795 EM
3 -0.75484788D+03 112.3442919 0.1295495 EM
4 -0.73688874D+03 17.9591390 0.0237917 EM
5 -0.72938138D+03 7.5073534 0.0101879 EM
6 -0.72638477D+03 2.9966126 0.0041084 EM
7 -0.72526560D+03 1.1191693 0.0015407 EM
8 -0.72486819D+03 0.3974129 0.0005480 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 11
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.12436813D+05 0.0000000 0.0000000 EM
2 -0.10381807D+05 2055.0061645 0.1652357 EM
3 -0.68676435D+04 3514.1636215 0.3384925 EM
4 -0.38074096D+04 3060.2339280 0.4456017 EM
5 -0.18530423D+04 1954.3672290 0.5133063 EM
6 -0.10457250D+04 807.3173593 0.4356713 EM
7 -0.79406559D+03 251.6593800 0.2406554 EM
8 -0.74033569D+03 53.7299037 0.0676643 EM
9 -0.72981494D+03 10.5207429 0.0142108 EM
10 -0.72651970D+03 3.2952482 0.0045152 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.35139537D+04 0.0000000 0.0000000 EM
2 -0.91092192D+03 2603.0317777 0.7407701 EM
3 -0.77381472D+03 137.1071997 0.1505148 EM
4 -0.73957087D+03 34.2438478 0.0442533 EM
5 -0.73041801D+03 9.1528685 0.0123759 EM
6 -0.72678406D+03 3.6339488 0.0049752 EM
7 -0.72541081D+03 1.3732477 0.0018895 EM
8 -0.72491882D+03 0.4919911 0.0006782 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.55842956D+04 0.0000000 0.0000000 EM
2 -0.11072736D+04 4477.0219213 0.8017165 EM
3 -0.84278025D+03 264.4933909 0.2388690 EM
4 -0.76110130D+03 81.6789439 0.0969161 EM
5 -0.73405842D+03 27.0428801 0.0355312 EM
6 -0.72791707D+03 6.1413548 0.0083663 EM
7 -0.72581231D+03 2.1047556 0.0028915 EM
8 -0.72505951D+03 0.7528066 0.0010372 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.70508403D+04 0.0000000 0.0000000 EM
2 -0.84962746D+03 6201.2128754 0.8794998 EM
3 -0.75336689D+03 96.2605672 0.1132974 EM
4 -0.73577098D+03 17.5959126 0.0233564 EM
5 -0.72890502D+03 6.8659601 0.0093317 EM
6 -0.72620184D+03 2.7031797 0.0037085 EM
7 -0.72519967D+03 1.0021713 0.0013800 EM
8 -0.72484535D+03 0.3543215 0.0004886 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.18353228D+04 0.0000000 0.0000000 EM
2 -0.10488648D+04 786.4580125 0.4285121 EM
3 -0.79900687D+03 249.8579608 0.2382175 EM
4 -0.73675696D+03 62.2499159 0.0779091 EM
5 -0.72817920D+03 8.5777623 0.0116426 EM
6 -0.72587695D+03 2.3022409 0.0031616 EM
7 -0.72507919D+03 0.7977655 0.0010990 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.96192296D+04 0.0000000 0.0000000 EM
2 -0.74293596D+04 2189.8699492 0.2276554 EM
3 -0.49330489D+04 2496.3107370 0.3360062 EM
4 -0.26073698D+04 2325.6790970 0.4714486 EM
5 -0.13044908D+04 1302.8789369 0.4996909 EM
6 -0.83761197D+03 466.8788756 0.3579012 EM
7 -0.73682616D+03 100.7858053 0.1203252 EM
8 -0.72629271D+03 10.5334515 0.0142957 EM
9 -0.72515025D+03 1.1424667 0.0015730 EM
10 -0.72482465D+03 0.3255990 0.0004490 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.46161454D+04 0.0000000 0.0000000 EM
2 -0.73991081D+03 3876.2345862 0.8397124 EM
3 -0.72867066D+03 11.2401544 0.0151912 EM
4 -0.72599613D+03 2.6745217 0.0036704 EM
5 -0.72511581D+03 0.8803263 0.0012126 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.62519591D+04 0.0000000 0.0000000 EM
2 -0.74590531D+03 5506.0537410 0.8806925 EM
3 -0.72627454D+03 19.6307720 0.0263180 EM
4 -0.72508633D+03 1.1882067 0.0016360 EM
5 -0.72480197D+03 0.2843566 0.0003922 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 19
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.80707798D+04 0.0000000 0.0000000 EM
2 -0.60613104D+04 2009.4693821 0.2489808 EM
3 -0.40010112D+04 2060.2992695 0.3399099 EM
4 -0.24007266D+04 1600.2845391 0.3999700 EM
5 -0.13663058D+04 1034.4208209 0.4308782 EM
6 -0.92504370D+03 441.2621079 0.3229600 EM
7 -0.78924182D+03 135.8018758 0.1468059 EM
8 -0.74499010D+03 44.2517230 0.0560686 EM
9 -0.73222670D+03 12.7634046 0.0171323 EM
10 -0.72748323D+03 4.7434681 0.0064781 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20
E STEP ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE ALGORITHM
1 -0.38491737D+04 0.0000000 0.0000000 EM
2 -0.98575840D+03 2863.4152798 0.7439039 EM
3 -0.82985986D+03 155.8985383 0.1581509 EM
4 -0.75199662D+03 77.8632434 0.0938270 EM
5 -0.73332196D+03 18.6746626 0.0248334 EM
6 -0.72783386D+03 5.4880997 0.0074839 EM
7 -0.72579428D+03 2.0395752 0.0028023 EM
8 -0.72505386D+03 0.7404212 0.0010202 EM
FINAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6
8 -0.72477392D+03 0.3268564 0.0004508 EM
9 -0.72469987D+03 0.0740458 0.0001022 EM
10 -0.72467537D+03 0.0245045 0.0000338 EM
11 -0.72466729D+03 0.0080815 0.0000112 EM
12 -0.72466464D+03 0.0026495 0.0000037 EM
13 -0.72466377D+03 0.0008656 0.0000012 EM
14 -0.72466349D+03 0.0002822 0.0000004 EM
15 -0.72466340D+03 0.0000919 0.0000001 EM
16 -0.72466337D+03 0.0000299 0.0000000 EM
17 -0.72466336D+03 0.0000097 0.0000000 EM
18 -0.72466335D+03 0.0000032 0.0000000 EM
19 -0.72466335D+03 0.0000010 0.0000000 EM
20 -0.72466335D+03 0.0000003 0.0000000 EM
21 -0.72466335D+03 0.0000001 0.0000000 EM
22 -0.72466335D+03 0.0000000 0.0000000 EM
23 -0.72466335D+03 0.0000000 0.0000000 EM
24 -0.72466335D+03 0.0000000 0.0000000 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18
5 -0.72480197D+03 0.2843566 0.0003922 EM
6 -0.72470916D+03 0.0928185 0.0001281 EM
7 -0.72467842D+03 0.0307340 0.0000424 EM
8 -0.72466829D+03 0.0101334 0.0000140 EM
9 -0.72466496D+03 0.0033240 0.0000046 EM
10 -0.72466388D+03 0.0010865 0.0000015 EM
11 -0.72466352D+03 0.0003544 0.0000005 EM
12 -0.72466341D+03 0.0001154 0.0000002 EM
13 -0.72466337D+03 0.0000376 0.0000001 EM
14 -0.72466336D+03 0.0000122 0.0000000 EM
15 -0.72466335D+03 0.0000040 0.0000000 EM
16 -0.72466335D+03 0.0000013 0.0000000 EM
17 -0.72466335D+03 0.0000004 0.0000000 EM
18 -0.72466335D+03 0.0000001 0.0000000 EM
19 -0.72466335D+03 0.0000000 0.0000000 EM
20 -0.72466335D+03 0.0000000 0.0000000 EM
21 -0.72466335D+03 0.0000000 0.0000000 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16
10 -0.72482465D+03 0.3255990 0.0004490 EM
11 -0.72471683D+03 0.1078138 0.0001487 EM
12 -0.72468097D+03 0.0358602 0.0000495 EM
13 -0.72466913D+03 0.0118449 0.0000163 EM
14 -0.72466524D+03 0.0038888 0.0000054 EM
15 -0.72466397D+03 0.0012717 0.0000018 EM
16 -0.72466355D+03 0.0004149 0.0000006 EM
17 -0.72466342D+03 0.0001352 0.0000002 EM
18 -0.72466337D+03 0.0000440 0.0000001 EM
19 -0.72466336D+03 0.0000143 0.0000000 EM
20 -0.72466335D+03 0.0000047 0.0000000 EM
21 -0.72466335D+03 0.0000015 0.0000000 EM
22 -0.72466335D+03 0.0000005 0.0000000 EM
23 -0.72466335D+03 0.0000002 0.0000000 EM
24 -0.72466335D+03 0.0000001 0.0000000 EM
25 -0.72466335D+03 0.0000000 0.0000000 EM
26 -0.72466335D+03 0.0000000 0.0000000 EM
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14
8 -0.72484535D+03 0.3543215 0.0004886 EM
9 -0.72472406D+03 0.1212879 0.0001673 EM
10 -0.72468339D+03 0.0406692 0.0000561 EM
11 -0.72466992D+03 0.0134652 0.0000186 EM
12 -0.72466550D+03 0.0044246 0.0000061 EM
13 -0.72466405D+03 0.0014475 0.0000020 EM
14 -0.72466358D+03 0.0004723 0.0000007 EM
15 -0.72466343D+03 0.0001539 0.0000002 EM
16 -0.72466338D+03 0.0000501 0.0000001 EM
17 -0.72466336D+03 0.0000163 0.0000000 EM
18 -0.72466335D+03 0.0000053 0.0000000 EM
19 -0.72466335D+03 0.0000017 0.0000000 EM
20 -0.72466335D+03 0.0000006 0.0000000 EM
21 -0.72466335D+03 0.0000002 0.0000000 EM
22 -0.72466335D+03 0.0000001 0.0000000 EM
23 -0.72466335D+03 0.0000000 0.0000000 EM
24 -0.72466335D+03 0.0000000 0.0000000 EM
Beginning Time: 23:13:09
Ending Time: 23:13:10
Elapsed Time: 00:00:01
MUTHEN & MUTHEN
3463 Stoner Ave.
Los Angeles, CA 90066
Tel: (310) 391-9971
Fax: (310) 391-8971
Web: www.StatModel.com
Support: Support@StatModel.com
Copyright (c) 1998-2022 Muthen & Muthen
Back to examples