Introduction to Linear Mixed Effects Models and GLMM with R
The course starts with a short revision of multiple linear regression and generalised linear models, followed by an introduction to linear mixed effects models and generalised linear mixed effects models (GLMM) to analyse nested (also called hierarchical or clustered) data, e.g. multiple observations from the same animal, site, area, nest, patient, hospital, vessel, lake, hive, transect, etc.