Message-ID: <49FA406F.3060600@cox.net>
Date: 2009-05-01T00:21:03Z
From: Ron Burns
Subject: AICc
In-Reply-To: <FBB35D43-6E64-4208-B354-A1C12FAFED93@nau.edu>
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
Oceanside, CA