Package: gamclass
Type: Package
Title: Functions and Data for a Course on Modern Regression and
        Classification
Version: 0.62.7
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>
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
URL: https://github.com/jhmaindonald/gamclass
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: 2025-07-29 03:48:04 UTC; johnm1
Author: John Maindonald [aut, cre]
Repository: CRAN
Date/Publication: 2025-07-29 04:40:02 UTC
Built: R 4.6.0; ; 2025-12-17 04:00:00 UTC; windows
