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I'm looking for way to obtain parameter estimates (such as *beta*, *SE* and *t* scores) and *P* values of random factors after GLMM in R. My model is:mod<-glmer(Boldness~Trial+(1|ID). The model with random effects is a better model (lower loglikelihood, lower AIC and BIC) than the model without random effects. Any help would be much appreciated. Thanks. Bharat [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.