Message-ID: <1113745148.426266fc2f9ac@webmail.ufz.de>
Date: 2005-04-17T13:39:08Z
From: Nestor Fernandez
Subject: generalized linear mixed models - how to compare?
Dear all,
I want to evaluate several generalized linear mixed models, including the null
model, and select the best approximating one. I have tried glmmPQL (MASS
library) and GLMM (lme4) to fit the models. Both result in similar parameter
estimates but fairly different likelihood estimates.
My questions:
1- Is it correct to calculate AIC for comparing my models, given that they use
quasi-likelihood estimates? If not, how can I compare them?
2- Why the large differences in likelihood estimates between the two procedures?
Thanks,
Nestor