Katie-
I think you can calculate it easily in R using the definitions:
AIC<- -2*LL + 2*K
AICc<-AIC + 2*K*(K+1)/(n-K-1)
where LL is the logLik, K is the the number of parameters in the fitted
model, and n is the number of observation, so if you know AIC then it is
easy to calculate AICc
Ron
Katie Stumpf wrote:
I am fitting logistic regression models, by defining my own link
function, and would like to get AICc values. Using the glm command
gives a value for AIC, but I haven't been able to get R to convert
that to AICc. Is there a code that has already been written for
this? Right now I am just putting the AIC values into an excel
spreadsheet and calculating AICc, likelihood, and AIC weights that
way, but it would be much more efficient if I could do this in R.
Thanks!
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R. R. Burns
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