Package: gamclass
Type: Package
Title: Functions and Data for a Course on Modern Regression and
        Classification
Version: 0.62.6
Date: 2025-07-24
Authors@R: person(given = "John",
                      family = "Maindonald",
                      role = c("aut", "cre"),
                      email = "john@statsresearch.co.nz")
Maintainer: John Maindonald <john@statsresearch.co.nz>
URL: https://github.com/jhmaindonald/gamclass
LazyData: true
Depends: R (>= 3.5.0)
Suggests: sp, kernlab, mlbench, car, mgcv, DAAG, MASS,
        knitr,prettydoc,rmarkdown,bookdown
Imports: rpart, randomForest, lattice, latticeExtra, methods
VignetteBuilder: knitr,rmarkdown,bookdown
Description: 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.
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2026-06-20 08:01:41 UTC; root
Config/pak/sysreqs: libjpeg-dev libpng-dev
Repository: https://jhmaindonald.r-universe.dev
Date/Publication: 2025-07-24 21:18:49 UTC
RemoteUrl: https://github.com/jhmaindonald/gamclass
RemoteRef: HEAD
RemoteSha: 31bf21d41f63180b6b7bbaa373c66a05261c1b7d
Author: John Maindonald [aut, cre]