gamclass: Functions and Data for a Course on Modern Regression and Classification (original) (raw)
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 |
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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 |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | gamclass results |
Documentation:
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