LEM: log-linear and event history analysis with missing data. Developed by Jeroen K. Vermunt (c), Tilburg University, The Netherlands. Version 1.2 (July 10, 1998). *** INPUT *** * Data generated from HCG/LMA (use formula for margin and multiply by 10000000 * ssq=.2; * uA= -.90 nuA = 1/sqrt(2) * uB= -.50 nuB = 1.500 * uC= -.20 nuC = .5000 * uD= .30 nuD = .8000 * uE= -.40 nuE = .9000 * uF= -.50 nuF = .2000 * uG= -.70 nuG = .4000 * * man 7 dim 2 2 2 2 2 2 2 lab A B C D E F G mod {A B C D E F G ass2(A,B,-,7a) ass2(A,C,-,7a) ass2(A,D,-,7a) ass2(A,E,-,7a) ass2(A,F,-,7a) ass2(A,G,-,7a) ass2(B,C,-,7a) ass2(B,D,-,7a) ass2(B,E,-,7a) ass2(B,F,-,7a) ass2(B,G,-,7a) ass2(C,D,-,7a) ass2(C,E,-,7a) ass2(C,F,-,7a) ass2(C,G,-,7a) ass2(D,E,-,7a) ass2(D,F,-,7a) ass2(D,G,-,7a) ass2(E,F,-,7a) ass2(E,G,-,7a) ass2(F,G,-,7a) } ass_equ [ 1 2 8 1 3 8 1 4 8 1 5 8 1 6 8 1 7 8 2 3 8 2 4 8 2 5 8 2 6 8 2 7 8 3 4 8 3 5 8 3 6 8 3 7 8 4 5 8 4 6 8 4 7 8 5 6 8 5 7 8 6 7 8 ] ass_res [ 0 2 3 0 2 3 0 2 3 0 2 3 0 2 3 0 2 3 2 2 3 2 2 3 2 2 3 2 2 3 2 2 3 2 2 3 2 2 3 2 2 3 2 2 3 2 2 3 2 2 3 2 2 3 2 2 3 2 2 3 2 2 3 ] ass_phi [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ] nco dat [ 5177.73 610.9316 9581.155 1205.219 530.364 83.46493 1133.42 190.1585 2454.916 374.1702 5163.032 838.9425 447.3268 90.93567 1086.504 235.4701 1409.092 195.11 2824.628 416.962 206.8807 38.20648 478.9392 94.29579 920.0486 164.5623 2096.151 399.7026 240.2952 57.32466 632.2592 160.8002 1716.183 327.2488 4037.13 820.6956 517.6501 131.652 1406.319 381.3028 2125.12 523.4527 5681.754 1492.008 1140.276 374.611 3520.847 1233.141 851.0208 190.4328 2168.667 517.3559 367.9246 109.8088 1082.804 344.527 1451.224 419.484 4203.168 1295.247 1116.109 430.2932 3733.254 1534.406 253.6355 37.52605 525.5613 82.89742 43.22663 8.530039 103.4435 21.76194 189.0804 36.13672 445.2968 90.7291 57.32466 14.61236 155.9132 42.36983 91.58978 15.90219 205.5909 38.05473 22.37352 5.181089 58.00021 14.31895 94.02812 21.08857 239.8857 57.35726 40.86003 12.22263 120.3881 38.39234 196.4018 46.96016 517.3559 131.8768 98.56546 31.43299 299.8521 101.9443 382.3883 118.105 1144.823 376.9612 341.3796 140.63 1180.347 518.3759 129.2287 36.26021 368.7623 110.3094 92.95748 34.78824 306.3446 122.2231 346.4914 125.5865 1123.75 434.2253 443.3752 214.3378 1660.684 855.873 ] *** STATISTICS *** Number of iterations = 211 Converge criterion = 0.0000009451 X-squared = 0.0000 (1.0000) L-squared = 0.0000 (1.0000) Cressie-Read = 0.0000 (1.0000) Dissimilarity index = 0.0000 Degrees of freedom = 113 Log-likelihood = -398802.37714 Number of parameters = 14 (+1) Sample size = 100000.0 BIC(L-squared) = -1300.9605 AIC(L-squared) = -226.0000 BIC(log-likelihood) = 797765.9352 AIC(log-likelihood) = 797632.7543 WARNING: no information is provided on identification of parameters *** FREQUENCIES *** A B C D E F G observed estimated std. res. 1 1 1 1 1 1 1 5177.730 5177.726 0.000 1 1 1 1 1 1 2 610.932 610.932 -0.000 1 1 1 1 1 2 1 9581.155 9581.157 -0.000 1 1 1 1 1 2 2 1205.219 1205.222 -0.000 1 1 1 1 2 1 1 530.364 530.367 -0.000 1 1 1 1 2 1 2 83.465 83.466 -0.000 1 1 1 1 2 2 1 1133.420 1133.430 -0.000 1 1 1 1 2 2 2 190.159 190.161 -0.000 1 1 1 2 1 1 1 2454.916 2454.912 0.000 1 1 1 2 1 1 2 374.170 374.172 -0.000 1 1 1 2 1 2 1 5163.032 5163.039 -0.000 1 1 1 2 1 2 2 838.942 838.949 -0.000 1 1 1 2 2 1 1 447.327 447.334 -0.000 1 1 1 2 2 1 2 90.936 90.938 -0.000 1 1 1 2 2 2 1 1086.504 1086.526 -0.001 1 1 1 2 2 2 2 235.470 235.477 -0.000 1 1 2 1 1 1 1 1409.092 1409.089 0.000 1 1 2 1 1 1 2 195.110 195.110 -0.000 1 1 2 1 1 2 1 2824.628 2824.629 -0.000 1 1 2 1 1 2 2 416.962 416.964 -0.000 1 1 2 1 2 1 1 206.881 206.883 -0.000 1 1 2 1 2 1 2 38.206 38.207 -0.000 1 1 2 1 2 2 1 478.939 478.945 -0.000 1 1 2 1 2 2 2 94.296 94.298 -0.000 1 1 2 2 1 1 1 920.049 920.053 -0.000 1 1 2 2 1 1 2 164.562 164.564 -0.000 1 1 2 2 1 2 1 2096.151 2096.169 -0.000 1 1 2 2 1 2 2 399.703 399.710 -0.000 1 1 2 2 2 1 1 240.295 240.301 -0.000 1 1 2 2 2 1 2 57.325 57.327 -0.000 1 1 2 2 2 2 1 632.259 632.279 -0.001 1 1 2 2 2 2 2 160.800 160.807 -0.001 1 2 1 1 1 1 1 1716.183 1716.233 -0.001 1 2 1 1 1 1 2 327.249 327.254 -0.000 1 2 1 1 1 2 1 4037.130 4037.221 -0.001 1 2 1 1 1 2 2 820.696 820.703 -0.000 1 2 1 1 2 1 1 517.650 517.651 -0.000 1 2 1 1 2 1 2 131.652 131.651 0.000 1 2 1 1 2 2 1 1406.319 1406.313 0.000 1 2 1 1 2 2 2 381.303 381.297 0.000 1 2 1 2 1 1 1 2125.120 2125.135 -0.000 1 2 1 2 1 1 2 523.453 523.451 0.000 1 2 1 2 1 2 1 5681.754 5681.766 -0.000 1 2 1 2 1 2 2 1492.008 1491.998 0.000 1 2 1 2 2 1 1 1140.276 1140.263 0.000 1 2 1 2 2 1 2 374.611 374.604 0.000 1 2 1 2 2 2 1 3520.847 3520.796 0.001 1 2 1 2 2 2 2 1233.141 1233.115 0.001 1 2 2 1 1 1 1 851.021 851.031 -0.000 1 2 2 1 1 1 2 190.433 190.433 -0.000 1 2 2 1 1 2 1 2168.667 2168.680 -0.000 1 2 2 1 1 2 2 517.356 517.353 0.000 1 2 2 1 2 1 1 367.925 367.921 0.000 1 2 2 1 2 1 2 109.809 109.807 0.000 1 2 2 1 2 2 1 1082.804 1082.787 0.001 1 2 2 1 2 2 2 344.527 344.519 0.000 1 2 2 2 1 1 1 1451.224 1451.219 0.000 1 2 2 2 1 1 2 419.484 419.480 0.000 1 2 2 2 1 2 1 4203.168 4203.139 0.000 1 2 2 2 1 2 2 1295.247 1295.230 0.000 1 2 2 2 2 1 1 1116.109 1116.091 0.001 1 2 2 2 2 1 2 430.293 430.284 0.000 1 2 2 2 2 2 1 3733.254 3733.183 0.001 1 2 2 2 2 2 2 1534.406 1534.370 0.001 2 1 1 1 1 1 1 253.636 253.610 0.002 2 1 1 1 1 1 2 37.526 37.523 0.000 2 1 1 1 1 2 1 525.561 525.515 0.002 2 1 1 1 1 2 2 82.897 82.892 0.001 2 1 1 1 2 1 1 43.227 43.224 0.000 2 1 1 1 2 1 2 8.530 8.530 0.000 2 1 1 1 2 2 1 103.444 103.439 0.000 2 1 1 1 2 2 2 21.762 21.762 0.000 2 1 1 2 1 1 1 189.080 189.069 0.001 2 1 1 2 1 1 2 36.137 36.136 0.000 2 1 1 2 1 2 1 445.297 445.276 0.001 2 1 1 2 1 2 2 90.729 90.727 0.000 2 1 1 2 2 1 1 57.325 57.325 -0.000 2 1 1 2 2 1 2 14.612 14.613 -0.000 2 1 1 2 2 2 1 155.913 155.915 -0.000 2 1 1 2 2 2 2 42.370 42.372 -0.000 2 1 2 1 1 1 1 91.590 91.583 0.001 2 1 2 1 1 1 2 15.902 15.901 0.000 2 1 2 1 1 2 1 205.591 205.578 0.001 2 1 2 1 1 2 2 38.055 38.053 0.000 2 1 2 1 2 1 1 22.374 22.373 0.000 2 1 2 1 2 1 2 5.181 5.181 -0.000 2 1 2 1 2 2 1 58.000 58.000 0.000 2 1 2 1 2 2 2 14.319 14.319 -0.000 2 1 2 2 1 1 1 94.028 94.026 0.000 2 1 2 2 1 1 2 21.089 21.089 0.000 2 1 2 2 1 2 1 239.886 239.882 0.000 2 1 2 2 1 2 2 57.357 57.358 -0.000 2 1 2 2 2 1 1 40.860 40.862 -0.000 2 1 2 2 2 1 2 12.223 12.223 -0.000 2 1 2 2 2 2 1 120.388 120.394 -0.001 2 1 2 2 2 2 2 38.392 38.395 -0.001 2 2 1 1 1 1 1 196.402 196.395 0.000 2 2 1 1 1 1 2 46.960 46.959 0.000 2 2 1 1 1 2 1 517.356 517.340 0.001 2 2 1 1 1 2 2 131.877 131.874 0.000 2 2 1 1 2 1 1 98.565 98.564 0.000 2 2 1 1 2 1 2 31.433 31.433 0.000 2 2 1 1 2 2 1 299.852 299.848 0.000 2 2 1 1 2 2 2 101.944 101.944 0.000 2 2 1 2 1 1 1 382.388 382.383 0.000 2 2 1 2 1 1 2 118.105 118.105 0.000 2 2 1 2 1 2 1 1144.823 1144.813 0.000 2 2 1 2 1 2 2 376.961 376.962 -0.000 2 2 1 2 2 1 1 341.380 341.383 -0.000 2 2 1 2 2 1 2 140.630 140.633 -0.000 2 2 1 2 2 2 1 1180.347 1180.367 -0.001 2 2 1 2 2 2 2 518.376 518.391 -0.001 2 2 2 1 1 1 1 129.229 129.225 0.000 2 2 2 1 1 1 2 36.260 36.260 0.000 2 2 2 1 1 2 1 368.762 368.754 0.000 2 2 2 1 1 2 2 110.309 110.308 0.000 2 2 2 1 2 1 1 92.957 92.957 0.000 2 2 2 1 2 1 2 34.788 34.788 -0.000 2 2 2 1 2 2 1 306.345 306.344 0.000 2 2 2 1 2 2 2 122.223 122.224 -0.000 2 2 2 2 1 1 1 346.491 346.492 -0.000 2 2 2 2 1 1 2 125.587 125.588 -0.000 2 2 2 2 1 2 1 1123.750 1123.758 -0.000 2 2 2 2 1 2 2 434.225 434.234 -0.000 2 2 2 2 2 1 1 443.375 443.389 -0.001 2 2 2 2 2 1 2 214.338 214.347 -0.001 2 2 2 2 2 2 1 1660.684 1660.746 -0.002 2 2 2 2 2 2 2 855.873 855.918 -0.002 *** LOG-LINEAR PARAMETERS *** * TABLE ABCDEFG [or P(ABCDEFG)] * effect beta exp(beta) main 5.6100 273.1463 A 1 0.9000 2.4596 2 -0.9000 0.4066 B 1 -0.5000 0.6065 2 0.5000 1.6487 C 1 0.2000 1.2214 2 -0.2000 0.8187 D 1 -0.3000 0.7408 2 0.3000 1.3499 E 1 0.4000 1.4918 2 -0.4000 0.6703 F 1 -0.5000 0.6065 2 0.5000 1.6487 G 1 0.7000 2.0137 2 -0.7000 0.4966 type 2 association (row=A column=B slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -1.4998 1.4998 adj column -1.4998 1.4998 slab 0.2000 adj slab 0.2000 type 2 association (row=A column=C slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.5000 0.5000 adj column -0.5000 0.5000 slab 0.2000 adj slab 0.2000 type 2 association (row=A column=D slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.7999 0.7999 adj column -0.7999 0.7999 slab 0.2000 adj slab 0.2000 type 2 association (row=A column=E slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.8999 0.8999 adj column -0.8999 0.8999 slab 0.2000 adj slab 0.2000 type 2 association (row=A column=F slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.2000 0.2000 adj column -0.2000 0.2000 slab 0.2000 adj slab 0.2000 type 2 association (row=A column=G slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.4000 0.4000 adj column -0.4000 0.4000 slab 0.2000 adj slab 0.2000 type 2 association (row=B column=C slab=) association 1.0000 row -1.4998 1.4998 adj row -1.4998 1.4998 column -0.5000 0.5000 adj column -0.5000 0.5000 slab 0.2000 adj slab 0.2000 type 2 association (row=B column=D slab=) association 1.0000 row -1.4998 1.4998 adj row -1.4998 1.4998 column -0.7999 0.7999 adj column -0.7999 0.7999 slab 0.2000 adj slab 0.2000 type 2 association (row=B column=E slab=) association 1.0000 row -1.4998 1.4998 adj row -1.4998 1.4998 column -0.8999 0.8999 adj column -0.8999 0.8999 slab 0.2000 adj slab 0.2000 type 2 association (row=B column=F slab=) association 1.0000 row -1.4998 1.4998 adj row -1.4998 1.4998 column -0.2000 0.2000 adj column -0.2000 0.2000 slab 0.2000 adj slab 0.2000 type 2 association (row=B column=G slab=) association 1.0000 row -1.4998 1.4998 adj row -1.4998 1.4998 column -0.4000 0.4000 adj column -0.4000 0.4000 slab 0.2000 adj slab 0.2000 type 2 association (row=C column=D slab=) association 1.0000 row -0.5000 0.5000 adj row -0.5000 0.5000 column -0.7999 0.7999 adj column -0.7999 0.7999 slab 0.2000 adj slab 0.2000 type 2 association (row=C column=E slab=) association 1.0000 row -0.5000 0.5000 adj row -0.5000 0.5000 column -0.8999 0.8999 adj column -0.8999 0.8999 slab 0.2000 adj slab 0.2000 type 2 association (row=C column=F slab=) association 1.0000 row -0.5000 0.5000 adj row -0.5000 0.5000 column -0.2000 0.2000 adj column -0.2000 0.2000 slab 0.2000 adj slab 0.2000 type 2 association (row=C column=G slab=) association 1.0000 row -0.5000 0.5000 adj row -0.5000 0.5000 column -0.4000 0.4000 adj column -0.4000 0.4000 slab 0.2000 adj slab 0.2000 type 2 association (row=D column=E slab=) association 1.0000 row -0.7999 0.7999 adj row -0.7999 0.7999 column -0.8999 0.8999 adj column -0.8999 0.8999 slab 0.2000 adj slab 0.2000 type 2 association (row=D column=F slab=) association 1.0000 row -0.7999 0.7999 adj row -0.7999 0.7999 column -0.2000 0.2000 adj column -0.2000 0.2000 slab 0.2000 adj slab 0.2000 type 2 association (row=D column=G slab=) association 1.0000 row -0.7999 0.7999 adj row -0.7999 0.7999 column -0.4000 0.4000 adj column -0.4000 0.4000 slab 0.2000 adj slab 0.2000 type 2 association (row=E column=F slab=) association 1.0000 row -0.8999 0.8999 adj row -0.8999 0.8999 column -0.2000 0.2000 adj column -0.2000 0.2000 slab 0.2000 adj slab 0.2000 type 2 association (row=E column=G slab=) association 1.0000 row -0.8999 0.8999 adj row -0.8999 0.8999 column -0.4000 0.4000 adj column -0.4000 0.4000 slab 0.2000 adj slab 0.2000 type 2 association (row=F column=G slab=) association 1.0000 row -0.2000 0.2000 adj row -0.2000 0.2000 column -0.4000 0.4000 adj column -0.4000 0.4000 slab 0.2000 adj slab 0.2000