gamclass-package

gamclass

For purposes of this package, modern regression extends to include
classification and multivariate exploration. 
A strong focus is on
methods described in Wood (2017) &lt;doi:10.1201/9781315370279&gt;

 package

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.

John Maindonald

Functions and Data for a Course on Modern Regression and
Classification

gamclass-package function

John Maindonald
Maintainer: jhmaindonald@gmail.com

gamclass-package: Functions and Data for a Course in Modern Regression

Description

Arguments

Author

Details

References