Mplus VERSION 7.3
MUTHEN & MUTHEN
09/22/2014 5:49 PM
INPUT INSTRUCTIONS
TITLE: this is an example of mixture modeling
with known classes (multiple group
analysis)
DATA: FILE IS ex7.21.dat;
VARIABLE: NAMES = g y1-y4;
CLASSES = cg (2) c (2);
KNOWNCLASS = cg (g = 0 g = 1);
ANALYSIS: TYPE = MIXTURE;
MODEL:
%OVERALL%
c ON cg;
MODEL c:
%c#1%
[y1-y4];
%c#2%
[y1-y4];
MODEL cg:
%cg#1%
y1-y4;
%cg#2%
y1-y4;
OUTPUT: TECH1 TECH8;
*** WARNING in MODEL command
All variables are uncorrelated with all other variables within class.
Check that this is what is intended.
1 WARNING(S) FOUND IN THE INPUT INSTRUCTIONS
this is an example of mixture modeling
with known classes (multiple group
analysis)
SUMMARY OF ANALYSIS
Number of groups 1
Number of observations 1000
Number of dependent variables 4
Number of independent variables 0
Number of continuous latent variables 0
Number of categorical latent variables 2
Observed dependent variables
Continuous
Y1 Y2 Y3 Y4
Categorical latent variables
CG C
Knownclass CG
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
Parameterization LOGIT
Input data file(s)
ex7.21.dat
Input data format FREE
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:
-6273.830 107446 12
-6273.830 573096 20
-6273.830 650371 14
-6273.830 127215 9
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 19
Loglikelihood
H0 Value -6273.830
H0 Scaling Correction Factor 0.9749
for MLR
Information Criteria
Akaike (AIC) 12585.660
Bayesian (BIC) 12678.907
Sample-Size Adjusted BIC 12618.562
(n* = (n + 2) / 24)
MODEL RESULTS USE THE LATENT CLASS VARIABLE ORDER
CG C
Latent Class Variable Patterns
CG C
Class Class
1 1
1 2
2 1
2 2
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON THE ESTIMATED MODEL
Latent Class
Pattern
1 1 386.99760 0.38700
1 2 126.00240 0.12600
2 1 235.02309 0.23502
2 2 251.97691 0.25198
FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON THE ESTIMATED MODEL
Latent Class
Variable Class
CG 1 513.00000 0.51300
2 487.00000 0.48700
C 1 622.02069 0.62202
2 377.97931 0.37798
LATENT TRANSITION PROBABILITIES BASED ON THE ESTIMATED MODEL
CG Classes (Rows) by C Classes (Columns)
1 2
1 0.754 0.246
2 0.483 0.517
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent Class
Pattern
1 1 386.99759 0.38700
1 2 126.00241 0.12600
2 1 235.02309 0.23502
2 2 251.97691 0.25198
FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON ESTIMATED POSTERIOR PROBABILITIES
Latent Class
Variable Class
CG 1 513.00000 0.51300
2 487.00000 0.48700
C 1 622.02069 0.62202
2 377.97931 0.37798
FINAL CLASS COUNTS AND PROPORTIONS FOR THE LATENT CLASS PATTERNS
BASED ON THEIR MOST LIKELY LATENT CLASS PATTERN
Class Counts and Proportions
Latent Class
Pattern
1 1 387 0.38700
1 2 126 0.12600
2 1 235 0.23500
2 2 252 0.25200
FINAL CLASS COUNTS AND PROPORTIONS FOR EACH LATENT CLASS VARIABLE
BASED ON THEIR MOST LIKELY LATENT CLASS PATTERN
Latent Class
Variable Class
CG 1 513 0.51300
2 487 0.48700
C 1 622 0.62200
2 378 0.37800
CLASSIFICATION QUALITY
Entropy 0.980
Average Latent Class Probabilities for Most Likely Latent Class Pattern (Row)
by Latent Class Pattern (Column)
Latent Class Variable Patterns
Latent Class CG C
Pattern No. Class Class
1 1 1
2 1 2
3 2 1
4 2 2
1 2 3 4
1 0.990 0.010 0.000 0.000
2 0.030 0.970 0.000 0.000
3 0.000 0.000 0.998 0.002
4 0.000 0.000 0.002 0.998
MODEL RESULTS
Two-Tailed
Estimate S.E. Est./S.E. P-Value
Latent Class Pattern 1 1
Means
Y1 -0.960 0.036 -26.726 0.000
Y2 -0.957 0.033 -28.712 0.000
Y3 -1.010 0.034 -29.435 0.000
Y4 -1.041 0.034 -30.998 0.000
Variances
Y1 1.021 0.066 15.466 0.000
Y2 0.986 0.065 15.246 0.000
Y3 0.990 0.063 15.824 0.000
Y4 1.001 0.060 16.601 0.000
Latent Class Pattern 1 2
Means
Y1 0.938 0.042 22.595 0.000
Y2 0.905 0.039 23.449 0.000
Y3 0.970 0.041 23.425 0.000
Y4 1.008 0.040 25.270 0.000
Variances
Y1 1.021 0.066 15.466 0.000
Y2 0.986 0.065 15.246 0.000
Y3 0.990 0.063 15.824 0.000
Y4 1.001 0.060 16.601 0.000
Latent Class Pattern 2 1
Means
Y1 -0.960 0.036 -26.726 0.000
Y2 -0.957 0.033 -28.712 0.000
Y3 -1.010 0.034 -29.435 0.000
Y4 -1.041 0.034 -30.998 0.000
Variances
Y1 0.551 0.035 15.642 0.000
Y2 0.447 0.027 16.534 0.000
Y3 0.514 0.031 16.337 0.000
Y4 0.465 0.030 15.428 0.000
Latent Class Pattern 2 2
Means
Y1 0.938 0.042 22.595 0.000
Y2 0.905 0.039 23.449 0.000
Y3 0.970 0.041 23.425 0.000
Y4 1.008 0.040 25.270 0.000
Variances
Y1 0.551 0.035 15.642 0.000
Y2 0.447 0.027 16.534 0.000
Y3 0.514 0.031 16.337 0.000
Y4 0.465 0.030 15.428 0.000
Categorical Latent Variables
C#1 ON
CG#1 1.192 0.140 8.502 0.000
Means
CG#1 0.052 0.063 0.822 0.411
C#1 -0.070 0.091 -0.765 0.444
QUALITY OF NUMERICAL RESULTS
Condition Number for the Information Matrix 0.345E-01
(ratio of smallest to largest eigenvalue)
TECHNICAL 1 OUTPUT
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 1
NU
Y1 Y2 Y3 Y4
________ ________ ________ ________
1 1 2 3 4
THETA
Y1 Y2 Y3 Y4
________ ________ ________ ________
Y1 5
Y2 0 6
Y3 0 0 7
Y4 0 0 0 8
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 1 2
NU
Y1 Y2 Y3 Y4
________ ________ ________ ________
1 9 10 11 12
THETA
Y1 Y2 Y3 Y4
________ ________ ________ ________
Y1 5
Y2 0 6
Y3 0 0 7
Y4 0 0 0 8
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 1
NU
Y1 Y2 Y3 Y4
________ ________ ________ ________
1 1 2 3 4
THETA
Y1 Y2 Y3 Y4
________ ________ ________ ________
Y1 13
Y2 0 14
Y3 0 0 15
Y4 0 0 0 16
PARAMETER SPECIFICATION FOR LATENT CLASS PATTERN 2 2
NU
Y1 Y2 Y3 Y4
________ ________ ________ ________
1 9 10 11 12
THETA
Y1 Y2 Y3 Y4
________ ________ ________ ________
Y1 13
Y2 0 14
Y3 0 0 15
Y4 0 0 0 16
PARAMETER SPECIFICATION FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
CG#1 CG#2 C#1 C#2
________ ________ ________ ________
1 17 0 18 0
BETA(C)
CG#1 CG#2
________ ________
C#1 19 0
C#2 0 0
STARTING VALUES FOR LATENT CLASS PATTERN 1 1
NU
Y1 Y2 Y3 Y4
________ ________ ________ ________
1 -0.877 -0.882 -0.912 -0.908
THETA
Y1 Y2 Y3 Y4
________ ________ ________ ________
Y1 0.814
Y2 0.000 0.771
Y3 0.000 0.000 0.844
Y4 0.000 0.000 0.000 0.852
STARTING VALUES FOR LATENT CLASS PATTERN 1 2
NU
Y1 Y2 Y3 Y4
________ ________ ________ ________
1 0.399 0.359 0.388 0.397
THETA
Y1 Y2 Y3 Y4
________ ________ ________ ________
Y1 0.814
Y2 0.000 0.771
Y3 0.000 0.000 0.844
Y4 0.000 0.000 0.000 0.852
STARTING VALUES FOR LATENT CLASS PATTERN 2 1
NU
Y1 Y2 Y3 Y4
________ ________ ________ ________
1 -0.877 -0.882 -0.912 -0.908
THETA
Y1 Y2 Y3 Y4
________ ________ ________ ________
Y1 0.814
Y2 0.000 0.771
Y3 0.000 0.000 0.844
Y4 0.000 0.000 0.000 0.852
STARTING VALUES FOR LATENT CLASS PATTERN 2 2
NU
Y1 Y2 Y3 Y4
________ ________ ________ ________
1 0.399 0.359 0.388 0.397
THETA
Y1 Y2 Y3 Y4
________ ________ ________ ________
Y1 0.814
Y2 0.000 0.771
Y3 0.000 0.000 0.844
Y4 0.000 0.000 0.000 0.852
STARTING VALUES FOR LATENT CLASS REGRESSION MODEL PART
ALPHA(C)
CG#1 CG#2 C#1 C#2
________ ________ ________ ________
1 0.000 0.000 0.000 0.000
BETA(C)
CG#1 CG#2
________ ________
C#1 0.000 0.000
C#2 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 -0.67363796D+04 0.0000000 0.0000000 352.828 160.172 EM
224.314 262.686
2 -0.63000443D+04 436.3353227 0.0647730 380.191 132.809 EM
233.822 253.178
3 -0.62745672D+04 25.4771637 0.0040440 385.837 127.163 EM
234.852 252.148
4 -0.62738481D+04 0.7190546 0.0001146 386.807 126.193 EM
234.995 252.005
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 1
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.11624165D+05 0.0000000 0.0000000 205.317 307.683 EM
199.239 287.761
2 -0.67384324D+04 4885.7331042 0.4203083 311.592 201.408 EM
216.555 270.445
3 -0.63753700D+04 363.0623521 0.0538793 370.273 142.727 EM
231.980 255.020
4 -0.62789491D+04 96.4209586 0.0151240 384.218 128.782 EM
234.633 252.367
5 -0.62739465D+04 5.0025609 0.0007967 386.544 126.456 EM
234.959 252.041
6 -0.62738325D+04 0.1139630 0.0000182 386.925 126.075 EM
235.012 251.988
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 2
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.19004346D+05 0.0000000 0.0000000 36.115 476.885 EM
9.112 477.888
2 -0.73432819D+04 ************ 0.6135999 67.063 445.937 EM
39.223 447.777
3 -0.72429550D+04 100.3268740 0.0136624 117.518 395.482 EM
58.424 428.576
4 -0.71286011D+04 114.3538978 0.0157883 196.262 316.738 EM
94.964 392.036
5 -0.69445918D+04 184.0093291 0.0258128 272.595 240.405 EM
156.031 330.969
6 -0.66357805D+04 308.8113016 0.0444679 338.159 174.841 EM
213.327 273.673
7 -0.63359067D+04 299.8738093 0.0451904 375.412 137.588 EM
232.687 254.313
8 -0.62760544D+04 59.8523200 0.0094465 385.013 127.987 EM
234.730 252.270
9 -0.62738852D+04 2.1691325 0.0003456 386.668 126.332 EM
234.975 252.025
10 -0.62738313D+04 0.0539298 0.0000086 386.944 126.056 EM
235.015 251.985
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 3
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.16780365D+05 0.0000000 0.0000000 185.285 327.715 EM
191.431 295.569
2 -0.74053423D+04 9375.0226598 0.5586900 200.559 312.441 EM
166.214 320.786
3 -0.72318783D+04 173.4640466 0.0234242 246.646 266.354 EM
157.599 329.401
4 -0.68901119D+04 341.7663577 0.0472583 314.002 198.998 EM
191.803 295.197
5 -0.64654028D+04 424.7090985 0.0616404 363.360 149.640 EM
227.759 259.241
6 -0.62857269D+04 179.6759163 0.0277904 382.592 130.408 EM
234.283 252.717
7 -0.62741250D+04 11.6019659 0.0018458 386.258 126.742 EM
234.913 252.087
8 -0.62738371D+04 0.2878358 0.0000459 386.877 126.123 EM
235.005 251.995
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 4
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.16336295D+05 0.0000000 0.0000000 426.307 86.693 EM
473.943 13.057
2 -0.73189422D+04 9017.3527552 0.5519827 407.478 105.522 EM
473.277 13.723
3 -0.72305990D+04 88.3432030 0.0120705 355.862 157.138 EM
462.010 24.990
4 -0.71384780D+04 92.1210347 0.0127404 294.610 218.390 EM
427.410 59.590
5 -0.69905012D+04 147.9768112 0.0207295 237.043 275.957 EM
358.576 128.424
6 -0.67201883D+04 270.3128988 0.0386686 181.996 331.004 EM
286.733 200.267
7 -0.63829814D+04 337.2069313 0.0501782 142.075 370.925 EM
256.114 230.886
8 -0.62785515D+04 104.4298833 0.0163607 128.849 384.151 EM
252.422 234.578
9 -0.62739472D+04 4.6043231 0.0007333 126.477 386.523 EM
252.046 234.954
10 -0.62738328D+04 0.1143167 0.0000182 126.080 386.920 EM
251.988 235.012
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 5
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.12358034D+05 0.0000000 0.0000000 109.124 403.876 EM
16.467 470.533
2 -0.73301376D+04 5027.8961164 0.4068524 121.917 391.083 EM
15.723 471.277
3 -0.72216237D+04 108.5138454 0.0148038 172.351 340.649 EM
27.812 459.188
4 -0.71218925D+04 99.7312077 0.0138101 230.667 282.333 EM
65.465 421.535
5 -0.69619383D+04 159.9541788 0.0224595 285.575 227.425 EM
138.409 348.591
6 -0.66729639D+04 288.9744781 0.0415078 338.423 174.577 EM
206.917 280.083
7 -0.63529298D+04 320.0340923 0.0479598 374.179 138.821 EM
232.012 254.988
8 -0.62766903D+04 76.2394363 0.0120007 384.780 128.220 EM
234.680 252.320
9 -0.62738996D+04 2.7907804 0.0004446 386.630 126.370 EM
234.969 252.031
10 -0.62738316D+04 0.0679119 0.0000108 386.938 126.062 EM
235.014 251.986
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 6
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.18750345D+05 0.0000000 0.0000000 280.726 232.274 EM
199.906 287.094
2 -0.65356494D+04 ************ 0.6514384 351.525 161.475 EM
226.039 260.961
3 -0.63047489D+04 230.9004713 0.0353294 380.787 132.213 EM
233.918 253.082
4 -0.62746055D+04 30.1434481 0.0047811 386.027 126.973 EM
234.857 252.143
5 -0.62738437D+04 0.7617467 0.0001214 386.847 126.153 EM
234.997 252.003
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 7
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.22810097D+05 0.0000000 0.0000000 433.336 79.664 EM
345.784 141.216
2 -0.67543534D+04 ************ 0.7038876 420.299 92.701 EM
261.104 225.896
3 -0.63369648D+04 417.3886773 0.0617955 397.469 115.531 EM
236.970 250.030
4 -0.62756729D+04 61.2919012 0.0096721 388.715 124.285 EM
235.316 251.684
5 -0.62738765D+04 1.7963754 0.0002862 387.279 125.721 EM
235.070 251.930
6 -0.62738311D+04 0.0453828 0.0000072 387.045 125.955 EM
235.031 251.969
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 8
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.14124481D+05 0.0000000 0.0000000 461.682 51.318 EM
365.912 121.088
2 -0.68016917D+04 7322.7895029 0.5184466 435.079 77.921 EM
273.733 213.267
3 -0.63849302D+04 416.7615254 0.0612732 402.796 110.204 EM
237.965 249.035
4 -0.62777360D+04 107.1942528 0.0167886 389.644 123.356 EM
235.408 251.592
5 -0.62739248D+04 3.8112078 0.0006071 387.417 125.583 EM
235.087 251.913
6 -0.62738324D+04 0.0923895 0.0000147 387.067 125.933 EM
235.034 251.966
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.20454290D+05 0.0000000 0.0000000 373.959 139.041 EM
269.638 217.362
2 -0.63804980D+04 ************ 0.6880607 390.032 122.968 EM
236.428 250.572
3 -0.62750048D+04 105.4931656 0.0165337 387.628 125.372 EM
235.127 251.873
4 -0.62738449D+04 1.1599760 0.0001849 387.105 125.895 EM
235.038 251.962
5 -0.62738301D+04 0.0147234 0.0000023 387.015 125.985 EM
235.026 251.974
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 10
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.12019175D+05 0.0000000 0.0000000 507.501 5.499 EM
483.002 3.998
2 -0.72764829D+04 4742.6917521 0.3945938 498.702 14.298 EM
424.292 62.708
3 -0.70600423D+04 216.4405175 0.0297452 476.896 36.104 EM
329.065 157.935
4 -0.66516799D+04 408.3624551 0.0578414 432.207 80.793 EM
250.199 236.801
5 -0.63202842D+04 331.3956766 0.0498214 397.780 115.220 EM
236.329 250.671
6 -0.62753544D+04 44.9298465 0.0071088 388.625 124.375 EM
235.260 251.740
7 -0.62738677D+04 1.4866430 0.0002369 387.264 125.736 EM
235.063 251.937
8 -0.62738309D+04 0.0368258 0.0000059 387.042 125.958 EM
235.030 251.970
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 11
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.22000163D+05 0.0000000 0.0000000 352.105 160.895 EM
226.244 260.756
2 -0.63456764D+04 ************ 0.7115623 376.694 136.306 EM
233.714 253.286
3 -0.62764442D+04 69.2322284 0.0109101 385.193 127.807 EM
234.757 252.243
4 -0.62738893D+04 2.5548909 0.0004071 386.697 126.303 EM
234.975 252.025
5 -0.62738313D+04 0.0580378 0.0000093 386.949 126.051 EM
235.015 251.985
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.13201737D+05 0.0000000 0.0000000 406.561 106.439 EM
247.215 239.785
2 -0.63233764D+04 6878.3610076 0.5210194 392.554 120.446 EM
236.426 250.574
3 -0.62752312D+04 48.1452150 0.0076138 387.953 125.047 EM
235.241 251.759
4 -0.62738594D+04 1.3718508 0.0002186 387.160 125.840 EM
235.056 251.944
5 -0.62738305D+04 0.0288480 0.0000046 387.025 125.975 EM
235.028 251.972
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 13
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.19984516D+05 0.0000000 0.0000000 222.330 290.670 EM
379.613 107.387
2 -0.69639226D+04 ************ 0.6515341 195.261 317.739 EM
320.260 166.740
3 -0.65616322D+04 402.2903819 0.0577678 156.366 356.634 EM
265.225 221.775
4 -0.63009128D+04 260.7194583 0.0397339 132.489 380.511 EM
253.234 233.766
5 -0.62745244D+04 26.3884077 0.0041880 127.121 385.879 EM
252.148 234.852
6 -0.62738476D+04 0.6767878 0.0001079 126.189 386.811 EM
252.005 234.995
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.26220623D+05 0.0000000 0.0000000 438.640 74.360 EM
320.702 166.298
2 -0.66949860D+04 ************ 0.7446672 420.039 92.961 EM
252.009 234.991
3 -0.63159058D+04 379.0802248 0.0566215 395.987 117.013 EM
236.351 250.649
4 -0.62750823D+04 40.8234411 0.0064636 388.430 124.570 EM
235.250 251.750
5 -0.62738625D+04 1.2198229 0.0001944 387.235 125.765 EM
235.060 251.940
6 -0.62738308D+04 0.0317588 0.0000051 387.038 125.962 EM
235.029 251.971
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 15
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.16728493D+05 0.0000000 0.0000000 415.333 97.667 EM
273.050 213.950
2 -0.64554345D+04 ************ 0.6141054 399.610 113.390 EM
238.763 248.237
3 -0.62792430D+04 176.1914084 0.0272935 389.299 123.701 EM
235.310 251.690
4 -0.62739102D+04 5.3328666 0.0008493 387.339 125.661 EM
235.071 251.929
5 -0.62738315D+04 0.0786643 0.0000125 387.052 125.948 EM
235.031 251.969
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 16
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.19993169D+05 0.0000000 0.0000000 275.238 237.762 EM
301.870 185.130
2 -0.77390243D+04 ************ 0.6129166 488.166 24.834 EM
360.451 126.549
3 -0.74326845D+04 306.3397966 0.0395838 485.528 27.472 EM
367.693 119.307
4 -0.73520126D+04 80.6718623 0.0108537 485.752 27.248 EM
367.295 119.705
5 -0.73244918D+04 27.5208791 0.0037433 487.368 25.632 EM
350.142 136.858
6 -0.71560504D+04 168.4413799 0.0229970 478.401 34.599 EM
292.363 194.637
7 -0.66785557D+04 477.4947064 0.0667260 438.608 74.392 EM
244.836 242.164
8 -0.63200473D+04 358.5083383 0.0536805 396.876 116.124 EM
236.131 250.869
9 -0.62753034D+04 44.7439600 0.0070797 388.609 124.391 EM
235.233 251.767
10 -0.62738655D+04 1.4378377 0.0002291 387.256 125.744 EM
235.061 251.939
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 17
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.19945848D+05 0.0000000 0.0000000 35.138 477.862 EM
1.476 485.524
2 -0.73660825D+04 ************ 0.6306960 23.399 489.601 EM
0.727 486.273
3 -0.73479432D+04 18.1392423 0.0024625 28.234 484.766 EM
0.724 486.276
4 -0.73259626D+04 21.9805781 0.0029914 48.649 464.351 EM
0.998 486.002
5 -0.72842277D+04 41.7349834 0.0056969 95.189 417.811 EM
1.884 485.116
6 -0.72330583D+04 51.1693608 0.0070247 154.200 358.800 EM
5.031 481.969
7 -0.71770772D+04 55.9811169 0.0077396 210.087 302.913 EM
18.176 468.824
8 -0.70903143D+04 86.7628927 0.0120889 259.094 253.906 EM
66.450 420.550
9 -0.69150629D+04 175.2514145 0.0247170 304.684 208.316 EM
150.696 336.304
10 -0.65992913D+04 315.7715495 0.0456643 350.104 162.896 EM
215.355 271.645
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 18
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.11395315D+05 0.0000000 0.0000000 505.705 7.295 EM
476.060 10.940
2 -0.73109828D+04 4084.3321504 0.3584220 499.868 13.132 EM
451.036 35.964
3 -0.71772702D+04 133.7125907 0.0182893 484.398 28.602 EM
378.113 108.887
4 -0.68167076D+04 360.5626587 0.0502367 447.716 65.284 EM
263.604 223.396
5 -0.63815651D+04 435.1424510 0.0638347 405.813 107.187 EM
237.599 249.401
6 -0.62786107D+04 102.9544277 0.0161331 389.828 123.172 EM
235.436 251.564
7 -0.62739460D+04 4.6646675 0.0007429 387.461 125.539 EM
235.092 251.908
8 -0.62738329D+04 0.1131032 0.0000180 387.074 125.926 EM
235.035 251.965
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 19
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.16318175D+05 0.0000000 0.0000000 259.867 253.133 EM
426.218 60.782
2 -0.71766059D+04 9141.5691696 0.5602078 237.929 275.071 EM
393.913 93.087
3 -0.69002849D+04 276.3210088 0.0385030 198.255 314.745 EM
321.620 165.380
4 -0.65459514D+04 354.3334237 0.0513506 156.063 356.937 EM
265.249 221.751
5 -0.62993402D+04 246.6112005 0.0376739 132.360 380.640 EM
253.209 233.791
6 -0.62744803D+04 24.8599516 0.0039464 127.067 385.933 EM
252.146 234.854
7 -0.62738455D+04 0.6348149 0.0001012 126.176 386.824 EM
252.004 234.996
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20
ITER LOGLIKELIHOOD ABS CHANGE REL CHANGE CLASS COUNTS ALGORITHM
1 -0.19753059D+05 0.0000000 0.0000000 273.538 239.462 EM
271.375 215.625
2 -0.70605188D+04 ************ 0.6425607 432.499 80.501 EM
223.378 263.622
3 -0.64017758D+04 658.7430162 0.0932995 395.181 117.819 EM
234.758 252.242
4 -0.62758483D+04 125.9275095 0.0196707 388.339 124.661 EM
235.149 251.851
5 -0.62738673D+04 1.9809945 0.0003157 387.223 125.777 EM
235.053 251.947
6 -0.62738308D+04 0.0365310 0.0000058 387.036 125.964 EM
235.029 251.971
FINAL STAGE ITERATIONS
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 9
5 -0.62738301D+04 0.0147234 0.0000023 387.015 125.985 EM
235.026 251.974
6 -0.62738299D+04 0.0002557 0.0000000 387.001 125.999 EM
235.023 251.977
7 -0.62738299D+04 0.0000057 0.0000000 386.998 126.002 EM
235.023 251.977
8 -0.62738299D+04 0.0000001 0.0000000 386.998 126.002 EM
235.023 251.977
9 -0.62738299D+04 0.0000000 0.0000000 386.998 126.002 EM
235.023 251.977
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 12
5 -0.62738305D+04 0.0288480 0.0000046 387.025 125.975 EM
235.028 251.972
6 -0.62738299D+04 0.0006441 0.0000001 387.002 125.998 EM
235.024 251.976
7 -0.62738299D+04 0.0000155 0.0000000 386.998 126.002 EM
235.023 251.977
8 -0.62738299D+04 0.0000004 0.0000000 386.998 126.002 EM
235.023 251.977
9 -0.62738299D+04 0.0000000 0.0000000 386.998 126.002 EM
235.023 251.977
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 14
6 -0.62738308D+04 0.0317588 0.0000051 387.038 125.962 EM
235.029 251.971
7 -0.62738299D+04 0.0008600 0.0000001 387.004 125.996 EM
235.024 251.976
8 -0.62738299D+04 0.0000237 0.0000000 386.999 126.001 EM
235.023 251.977
9 -0.62738299D+04 0.0000007 0.0000000 386.998 126.002 EM
235.023 251.977
10 -0.62738299D+04 0.0000000 0.0000000 386.998 126.002 EM
235.023 251.977
TECHNICAL 8 OUTPUT FOR STARTING VALUE SET 20
6 -0.62738308D+04 0.0365310 0.0000058 387.036 125.964 EM
235.029 251.971
7 -0.62738299D+04 0.0008980 0.0000001 387.004 125.996 EM
235.024 251.976
8 -0.62738299D+04 0.0000240 0.0000000 386.999 126.001 EM
235.023 251.977
9 -0.62738299D+04 0.0000007 0.0000000 386.998 126.002 EM
235.023 251.977
10 -0.62738299D+04 0.0000000 0.0000000 386.998 126.002 EM
235.023 251.977
Beginning Time: 17:49:35
Ending Time: 17:49:36
Elapsed Time: 00:00:01
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