Package: gamclass
Type: Package
Title: Functions and Data for a Course on Modern Regression and
        Classification
Version: 0.62.3
Date: 2020-11-10
Author: John Maindonald
Maintainer: John Maindonald <john@statsresearch.co.nz>
LazyData: true
Depends: R (>= 3.5.0)
Suggests: leaps, quantreg, sp, diagram, oz, forecast, kernlab, Ecdat,
        mlbench, DAAGbio, car, mgcv, DAAG, MASS, ape,
        KernSmooth,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: 2020-11-12 23:18:53 UTC; johnm1
Repository: CRAN
Date/Publication: 2020-11-14 00:30:07 UTC
Built: R 4.1.3; ; 2023-04-17 16:50:10 UTC; windows
