Introduction to Generalized Additive Models (GAMs)

Linear regression is a ubiquitous approach for analyzing relationships between variables, but it assumes that those relationships are linear, which may not always be the case with real-world data. Generalized additive models (GAMs) are a straightforward and flexible tool that extend linear and generalized linear models to allow non-linear relationships. This workshop provides an overview of the theory and intuition behind GAMs and demonstrates their practical use through worked examples in R using the mgcv package.

This workshop assumes familiarity with linear regression.

Upcoming Offerings

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Friday November 1 2024
Type of Workshop: Lecture
Time: 1:00pm – 3:00pm
Workshop Location: Zoom