Generalized Linear and Generalized Linear Mixed Models with R (Module 3)

Day 1: Binomial model (refreshing LM and LMM, introduction Bayesian data analysis, logistic regression, binomial model, tests, model assumptions, overdispersion, predictions); Day 2: Poisson model (tests, model assumptions, overdispersion, predictions, depending on participants wishes: zero-inflation, mixture models); Day 3: GLMM (including random effects, glmer-function and MCMCglmm-function, depending on participants wishes: introduction to WinBUGS and further mixture models); Day 4: work on own data and presentations