This workshop introduces Generalized Additive Models (GAM) as a flexible extension of linear regression for modeling complex, nonlinear relationships in research data. Participants will gain a conceptual understanding of how GAMs work, guidance on when to apply them over traditional methods, and practical experience fitting and interpreting GAM models using the mgcv package in R. A working knowledge of basic regression is recommended.

This is a researcher focused workshop.