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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 |
| 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 |
| Author: | John Maindonald |
| Maintainer: | John Maindonald <john at statsresearch.co.nz> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | README 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_0.62.5.tar.gz |
| Windows binaries: | r-devel: gamclass_0.62.5.zip, r-release: gamclass_0.62.5.zip, r-oldrel: gamclass_0.62.5.zip |
| macOS binaries: | r-release (arm64): gamclass_0.62.5.tgz, r-oldrel (arm64): gamclass_0.62.5.tgz, r-release (x86_64): gamclass_0.62.5.tgz, r-oldrel (x86_64): gamclass_0.62.5.tgz |
| Old sources: | gamclass archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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