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 * * * Note LEM=gen as follows A=A, B=B C=C, C=D, D=E, F=G man 6 dim 2 2 2 2 2 2 lab A B C D E F mod {A B C D E F ass2(A,B,-,7a) ass2(A,C,-,7a) ass2(A,D,-,7a) ass2(A,E,-,7a) ass2(A,F,-,7a) ass2(B,C,-,7a) ass2(B,D,-,7a) ass2(B,E,-,7a) ass2(B,F,-,7a) ass2(C,D,-,7a) ass2(C,E,-,7a) ass2(C,F,-,7a) ass2(D,E,-,7a) ass2(D,F,-,7a) ass2(E,F,-,7a)} ass_equ [ 1 2 7 1 3 7 1 4 7 1 5 7 1 6 7 2 3 7 2 4 7 2 5 7 2 6 7 3 4 7 3 5 7 3 6 7 4 5 7 4 6 7 5 6 7 ] ass_res [ 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 ] ass_phi [ 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ] nco dat [ 14758.89 1816.15 1663.784 273.6234 7617.948 1213.113 1533.831 326.4057 4233.72 612.072 685.8199 132.5023 3016.199 564.265 872.5544 218.1248 5753.313 1147.944 1923.969 512.9549 7806.874 2015.461 4661.122 1607.752 3019.688 707.7887 1450.729 454.3359 5654.392 1714.731 4849.363 1964.699 779.1969 120.4235 146.6701 30.29198 634.3773 126.8658 213.2379 56.9822 297.1807 53.95692 80.37373 19.50004 333.9138 78.44583 161.2482 50.61497 713.7576 178.8369 398.4176 133.3773 1527.211 495.0661 1521.726 659.0059 497.991 146.5696 399.3021 157.0113 1470.241 559.8119 2104.059 1070.211 ] *** STATISTICS *** Number of iterations = 227 Converge criterion = 0.0000009679 X-squared = 0.0010 (1.0000) L-squared = 0.0010 (1.0000) Cressie-Read = 0.0010 (1.0000) Dissimilarity index = 0.0000 Degrees of freedom = 51 Log-likelihood = -339483.17669 Number of parameters = 12 (+1) Sample size = 100000.0 BIC(L-squared) = -587.1582 AIC(L-squared) = -101.9990 BIC(log-likelihood) = 679104.5085 AIC(log-likelihood) = 678990.3534 WARNING: no information is provided on identification of parameters *** FREQUENCIES *** A B C D E F observed estimated std. res. 1 1 1 1 1 1 14758.890 14757.596 0.011 1 1 1 1 1 2 1816.150 1816.316 -0.004 1 1 1 1 2 1 1663.784 1664.209 -0.010 1 1 1 1 2 2 273.623 273.672 -0.003 1 1 1 2 1 1 7617.948 7618.354 -0.005 1 1 1 2 1 2 1213.113 1213.175 -0.002 1 1 1 2 2 1 1533.831 1533.876 -0.001 1 1 1 2 2 2 326.406 326.362 0.002 1 1 2 1 1 1 4233.720 4234.036 -0.005 1 1 2 1 1 2 612.072 612.142 -0.003 1 1 2 1 2 1 685.820 685.909 -0.003 1 1 2 1 2 2 132.502 132.498 0.000 1 1 2 2 1 1 3016.199 3016.252 -0.001 1 1 2 2 1 2 564.265 564.224 0.002 1 1 2 2 2 1 872.554 872.401 0.005 1 1 2 2 2 2 218.125 218.045 0.005 1 2 1 1 1 1 5753.313 5753.815 -0.007 1 2 1 1 1 2 1147.944 1147.995 -0.002 1 2 1 1 2 1 1923.969 1923.989 -0.000 1 2 1 1 2 2 512.955 512.901 0.002 1 2 1 2 1 1 7806.874 7807.100 -0.003 1 2 1 2 1 2 2015.461 2015.395 0.001 1 2 1 2 2 1 4661.122 4660.938 0.003 1 2 1 2 2 2 1607.752 1607.647 0.003 1 2 2 1 1 1 3019.688 3019.766 -0.001 1 2 2 1 1 2 707.789 707.749 0.001 1 2 2 1 2 1 1450.729 1450.573 0.004 1 2 2 1 2 2 454.336 454.247 0.004 1 2 2 2 1 1 5654.392 5654.246 0.002 1 2 2 2 1 2 1714.731 1714.617 0.003 1 2 2 2 2 1 4849.363 4849.285 0.001 1 2 2 2 2 2 1964.699 1964.793 -0.002 2 1 1 1 1 1 779.197 779.354 -0.006 2 1 1 1 1 2 120.424 120.444 -0.002 2 1 1 1 2 1 146.670 146.686 -0.001 2 1 1 1 2 2 30.292 30.289 0.001 2 1 1 2 1 1 634.377 634.400 -0.001 2 1 1 2 1 2 126.866 126.853 0.001 2 1 1 2 2 1 213.238 213.183 0.004 2 1 1 2 2 2 56.982 56.955 0.004 2 1 2 1 1 1 297.181 297.218 -0.002 2 1 2 1 1 2 53.957 53.957 0.000 2 1 2 1 2 1 80.374 80.361 0.001 2 1 2 1 2 2 19.500 19.492 0.002 2 1 2 2 1 1 333.914 333.865 0.003 2 1 2 2 1 2 78.446 78.420 0.003 2 1 2 2 2 1 161.248 161.168 0.006 2 1 2 2 2 2 50.615 50.581 0.005 2 2 1 1 1 1 713.758 713.764 -0.000 2 2 1 1 1 2 178.837 178.819 0.001 2 2 1 1 2 1 398.418 398.347 0.004 2 2 1 1 2 2 133.377 133.342 0.003 2 2 1 2 1 1 1527.211 1527.113 0.003 2 2 1 2 1 2 495.066 495.012 0.002 2 2 1 2 2 1 1521.726 1521.651 0.002 2 2 1 2 2 2 659.006 659.032 -0.001 2 2 2 1 1 1 497.991 497.936 0.002 2 2 2 1 1 2 146.570 146.539 0.003 2 2 2 1 2 1 399.302 399.209 0.005 2 2 2 1 2 2 157.011 156.974 0.003 2 2 2 2 1 1 1470.241 1470.136 0.003 2 2 2 2 1 2 559.812 559.789 0.001 2 2 2 2 2 1 2104.059 2104.364 -0.007 2 2 2 2 2 2 1070.211 1070.617 -0.012 *** LOG-LINEAR PARAMETERS *** * TABLE ABCDEF [or P(ABCDEF)] * effect beta exp(beta) main 6.4261 617.7650 A 1 0.8870 2.4280 2 -0.8870 0.4119 B 1 -0.5276 0.5900 2 0.5276 1.6949 C 1 0.1908 1.2103 2 -0.1908 0.8263 D 1 -0.3147 0.7300 2 0.3147 1.3698 E 1 0.3835 1.4674 2 -0.3835 0.6815 F 1 0.6927 1.9991 2 -0.6927 0.5002 type 2 association (row=A column=B slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -1.5005 1.5005 adj column -1.5005 1.5005 slab 0.2012 adj slab 0.2012 type 2 association (row=A column=C slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.5001 0.5001 adj column -0.5001 0.5001 slab 0.2012 adj slab 0.2012 type 2 association (row=A column=D slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.8002 0.8002 adj column -0.8002 0.8002 slab 0.2012 adj slab 0.2012 type 2 association (row=A column=E slab=) association 1.0000 row -0.7071 0.7071 adj row -0.7071 0.7071 column -0.9000 0.9000 adj column -0.9000 0.9000 slab 0.2012 adj slab 0.2012 type 2 association (row=A column=F 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 0.2012 adj slab 0.2012 type 2 association (row=B column=C slab=) association 1.0000 row -1.5005 1.5005 adj row -1.5005 1.5005 column -0.5001 0.5001 adj column -0.5001 0.5001 slab 0.2012 adj slab 0.2012 type 2 association (row=B column=D slab=) association 1.0000 row -1.5005 1.5005 adj row -1.5005 1.5005 column -0.8002 0.8002 adj column -0.8002 0.8002 slab 0.2012 adj slab 0.2012 type 2 association (row=B column=E slab=) association 1.0000 row -1.5005 1.5005 adj row -1.5005 1.5005 column -0.9000 0.9000 adj column -0.9000 0.9000 slab 0.2012 adj slab 0.2012 type 2 association (row=B column=F slab=) association 1.0000 row -1.5005 1.5005 adj row -1.5005 1.5005 column -0.4000 0.4000 adj column -0.4000 0.4000 slab 0.2012 adj slab 0.2012 type 2 association (row=C column=D slab=) association 1.0000 row -0.5001 0.5001 adj row -0.5001 0.5001 column -0.8002 0.8002 adj column -0.8002 0.8002 slab 0.2012 adj slab 0.2012 type 2 association (row=C column=E slab=) association 1.0000 row -0.5001 0.5001 adj row -0.5001 0.5001 column -0.9000 0.9000 adj column -0.9000 0.9000 slab 0.2012 adj slab 0.2012 type 2 association (row=C column=F slab=) association 1.0000 row -0.5001 0.5001 adj row -0.5001 0.5001 column -0.4000 0.4000 adj column -0.4000 0.4000 slab 0.2012 adj slab 0.2012 type 2 association (row=D column=E slab=) association 1.0000 row -0.8002 0.8002 adj row -0.8002 0.8002 column -0.9000 0.9000 adj column -0.9000 0.9000 slab 0.2012 adj slab 0.2012 type 2 association (row=D column=F slab=) association 1.0000 row -0.8002 0.8002 adj row -0.8002 0.8002 column -0.4000 0.4000 adj column -0.4000 0.4000 slab 0.2012 adj slab 0.2012 type 2 association (row=E column=F slab=) association 1.0000 row -0.9000 0.9000 adj row -0.9000 0.9000 column -0.4000 0.4000 adj column -0.4000 0.4000 slab 0.2012 adj slab 0.2012