RCII
Powers and Xie(2000)のRCIIモデルをLEMで。Table 4.16とTable4.17より。
LEM: log-linear and event history analysis with missing data.
Developed by Jeroen Vermunt (c), Tilburg University, The Netherlands.
Version 1.0 (September 18, 1997).
*** INPUT ***
man 2
dim 5 4
lab A P
mod {A P ass2(A,P,5a) }
dat[
44 11 38 62
59 41 147 293
23 11 13 27
27 8 16 27
258 57 105 110
]
nfr
nco
*** STATISTICS ***
Number of iterations = 11
Converge criterion = 0.0000001579
X-squared = 5.4457 (0.4880)
L-squared = 5.5574 (0.4745)
Cressie-Read = 5.4746 (0.4845)
Dissimilarity index = 0.0165
Degrees of freedom = 6
Log-likelihood = -3448.92938
Number of parameters = 13 (+1)
Sample size = 1377.0
BIC(L-squared) = -37.8085
AIC(L-squared) = -6.4426
BIC(log-likelihood) = 6991.8184
AIC(log-likelihood) = 6923.8588
WARNING: no information is provided on identification of parameters
*** LOG-LINEAR PARAMETERS ***
* TABLE AP [or P(AP)] *
effect beta exp(beta)
main 3.7197 41.2520
A
1 -0.1679 0.8455
2 0.8917 2.4393
3 -0.8955 0.4084
4 -0.8426 0.4306
5 1.0143 2.7573
P
1 0.2428 1.2748
2 -0.7965 0.4509
3 0.0835 1.0871
4 0.4702 1.6003
type 2 association (row=A column=P)
association 1.3083
row 0.0753 0.7763 -0.0983 -0.1550 -0.5983
adj row 0.0861 0.8880 -0.1124 -0.1773 -0.6843
column -0.7432 -0.1265 0.2713 0.5984
adj column -0.8501 -0.1447 0.3103 0.6844