search for: c_hat

...nt derivations of AIC (e.g. AIC, AICc, QAIC, etc.) along with AIC differences (delta's), model likelihoods, Akaike weights and evidence ratio's (from Burnham and Anderson 2002). Just in a "for instance" if someone had the -2LL, sample sizes, parameter counts, and estimates of c_hat output from a program, is there a function out there that calculates the above information. I did not see anything on the help pages (or in packages, but I could have missed it) and I didn't want to re-invent the wheel. TIA, Bret A. Collier Arkansas Cooperative Fish and Wildlife Research...

...ates for QAICc Hello, I am using lmer (package lme4), for a GLMM, where I am modeling overdispered data with 1 random effect and several fixed effects. I want to use QAICc for my model selection, however I have 2 concerns 1) I don't know how to properly estimate the overdispersion parameter (c_hat), which is needed to calculate QAICc. I believe this is done via the deviance provided and the DF (in my case I have 31 obs. but only 22 are unique, therefore 22 minus the # of parameters in model). Is this correct (deviance/df)? If the overdispersion parameter is supposed to be a parameter i...