Name: Introduction to Generalized Additive Models - Basis functions and smoothing
Uploaded: 2026-06-16T00:00:00Z
Description: In this chapter, you will learn how Generalized additive models work and how to use flexible, nonlinear functions to model data without over-fitting. You will learn to use the gam() function in the mgcv package, and how to build multivariate models that mix nonlinear, linear, and categorical effects to data.