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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=gamclass to link to this page.
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