Dear R-users, I would like to fit a glmm with cross-classified random effects with the function MCMCglmm. Something along the lines:
model1<-MCMCglmm(response~pred1, random=~re1+re2, data=data) where re1 and re2 should be crossed random effects. I was wondering whether you could tell me specifying cross-classified random effects in MCMCglmm requires a particular syntax? Are there any examples somewhere? I have had a look at the manual and the package vignette, but I have not been able to find any examples relevant to what I want to do. Thanks, Agostino _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
