Prediction of random effects in glmer()
Hi, I would like to know how the prediction of random effects is done in the GLMM modeling using the lme4::glmer function, i.e. how the BLUP-like predictions are made in the glmer() function? Does it use frequentist prediction or empirical Bayes or full Bayes posterior? Is there any documentation of the prediction methodology? Thanks in advance. Ravi