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: | 0.62.7 |
| Depends: | R (≥ 3.5.0) |
| Imports: | rpart,randomForest,lattice,latticeExtra, methods |
| Suggests: | sp,kernlab,mlbench,car,mgcv,DAAG,MASS,knitr,prettydoc,rmarkdown,bookdown |
| Published: | 2025-07-29 |
| DOI: | 10.32614/CRAN.package.gamclass |
| Author: | John Maindonald [aut, cre] |
| Maintainer: | John Maindonald <john at statsresearch.co.nz> |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/jhmaindonald/gamclass |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | gamclass results |
| Package source: | gamclass_0.62.7.tar.gz |
| Windows binaries: | r-devel:gamclass_0.62.7.zip, r-release:gamclass_0.62.7.zip, r-oldrel:gamclass_0.62.7.zip |
| macOS binaries: | r-release (arm64):gamclass_0.62.7.tgz, r-oldrel (arm64):gamclass_0.62.7.tgz, r-release (x86_64):gamclass_0.62.7.tgz, r-oldrel (x86_64):gamclass_0.62.7.tgz |
| Old sources: | gamclass archive |
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