These course notes emphasize understanding the underlying structure of generalized linear mixed models including regression, ANOVA, animal models, threshold models, meta-analysis, MANCOVA and random regression.This course also aims to show how these models can be fitted in a Bayesian framework using Markov chain Monte Carlo (MCMC) methods in the MCMCglmm R package.

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