













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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