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.

Version:	0.62.5
Depends:	R (≥ 3.5.0)
Imports:	rpart, randomForest, lattice, latticeExtra, methods
Suggests:	sp, kernlab, mlbench, car, mgcv, DAAG, MASS, knitr, prettydoc, rmarkdown, bookdown
Published:	2023-08-21
DOI:	10.32614/CRAN.package.gamclass
Author:	John Maindonald
Maintainer:	John Maindonald <john at statsresearch.co.nz>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	gamclass results

Documentation:

Reference manual:	gamclass.pdf
Vignettes:	Effectiveness of Airbags – 1998 to 2010 in the US Aircraft Accident Patterns Over Time Model Comparison Using Resampling Methods

Downloads:

Package source:	gamclass_0.62.5.tar.gz
Windows binaries:	r-devel: gamclass_0.62.5.zip, r-release: gamclass_0.62.5.zip, r-oldrel: gamclass_0.62.5.zip
macOS binaries:	r-release (arm64): gamclass_0.62.5.tgz, r-oldrel (arm64): gamclass_0.62.5.tgz, r-release (x86_64): gamclass_0.62.5.tgz, r-oldrel (x86_64): gamclass_0.62.5.tgz
Old sources:	gamclass archive

Linking:

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