gamclass: Functions and Data for a Course on Modern Regression and Classification

Functions and data are provided that support a course that emphasizes statistical issues of inference and generalizability. The functions are designed to make it straightforward to illustrate the use of cross-validation, the training/test approach, simulation, and model-based estimates of accuracy. Methods considered are Generalized Additive Modeling, Linear and Quadratic Discriminant Analysis, Tree-based methods, and Random Forests.

Package details

AuthorJohn Maindonald
MaintainerJohn Maindonald <>
LicenseGPL (>= 2)
Package repositoryView on CRAN
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gamclass documentation built on Nov. 14, 2020, 1:07 a.m.