Introduction to GAM and GAMM with R: Frequentist approaches

The course starts with a revision of multiple linear regression, followed by a basic introduction to generalised additive models (GAM) to analyse continuous data, count data and binary/proportional data.

In the second part of the course generalised additive mixed effects models (GAMM) are introduced to analyse nested data.

During the course several case studies are presented, in which the statistical theory is integrated with applied analyses in a clear and understandable manner.