Hi,
I tried fitting loglinear model using the glm(catspec). The data used is FHtab.
. An independence model was fitted. Here summary() and fitmacro( ) give
different values for AIC.
I understand that fitmacro( ) takes the likelilhood ratio L2(deviance) to
calculate AIC and uses the formula AIC= L2- d.f(deviance)*2 and this AIC is used
for comparison of nested models. (Am I right?)
The value given by loglik( ) is used by summary() to calculate AIC in the
formula
AIC= -2 logL + K* e.d.f. Can anybody tell me how this log L is calculated?
It is not logL=Sum(ni* log (pi)), where pi= fitted frequency / total no. of
observations. The help available at extract AIC( ) also is not giving the
answer.
Please help
Thanks
Subha
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