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: | 0.62.3 |
Depends: | R (≥ 3.5.0) |
Imports: | rpart, randomForest, lattice, latticeExtra, methods |
Suggests: | leaps, quantreg, sp, diagram, oz, forecast, kernlab, Ecdat, mlbench, DAAGbio, car, mgcv, DAAG, MASS, ape, KernSmooth, knitr, prettydoc, rmarkdown, bookdown |
Published: | 2020-11-14 |
Author: | John Maindonald |
Maintainer: | John Maindonald <john at statsresearch.co.nz> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | gamclass results |
Reference manual: | gamclass.pdf |
Vignettes: |
Effectiveness of Airbags – 1998 to 2010 in the US Aircraft Accident Patterns Over Time Model Comparison Using Resampling Methods |
Package source: | gamclass_0.62.3.tar.gz |
Windows binaries: | r-devel: gamclass_0.62.3.zip, r-release: gamclass_0.62.3.zip, r-oldrel: gamclass_0.62.3.zip |
macOS binaries: | r-release (arm64): gamclass_0.62.3.tgz, r-oldrel (arm64): gamclass_0.62.3.tgz, r-release (x86_64): gamclass_0.62.3.tgz, r-oldrel (x86_64): gamclass_0.62.3.tgz |
Old sources: | gamclass archive |
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