What are Generalized Additive Models (GAMs)? Generalized Additive Models (GAMs) are flexible tools that replace one or more predictors in a Generalized Linear Model (GLM) with smooth functions of predictors. These are helpful for learning arbitrarily complex, nonlinear relationships between predictors and conditional responses without needing a priori expectations about ... [Read more...]