Functions and data are provided that support a course that emphasizes statistical issues of inference and generalizability. Attention is restricted to a relatively small number of methods, often (misleadingly, in my view) referred to as algorithms.
| Version: | 0.58 |
| Depends: | R (≥ 3.0.0) |
| Imports: | car, mgcv, DAAG, MASS, rpart, randomForest, lattice, latticeExtra, ape, KernSmooth, methods |
| Suggests: | leaps, quantreg, sp, diagram, oz, forecast, kernlab, Ecdat, mlbench, DAAGbio, knitr |
| Published: | 2018-06-18 |
| Author: | John Maindonald |
| Maintainer: | John Maindonald <jhmaindonald at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | gamclass results |
| Reference manual: | gamclass.pdf |
| Vignettes: |
Key Ideas and Issues (Set 1 Figures) Model Output Can Deceive (Set 10) Ordination (Set 11) Limits of Statistical Learning (Set 2) Data-Based Generalization (Set 3) Linear Models (Set 4) Generalized Linear Models (Set 5) Generalized Additive Models (Set 6) Time Series (Set 7) Tree-based regression (Set 8) Discrimination and Classification (Set 9) |
| Package source: | gamclass_0.58.tar.gz |
| Windows binaries: | r-devel: gamclass_0.58.zip, r-release: gamclass_0.58.zip, r-oldrel: gamclass_0.58.zip |
| OS X binaries: | r-release: gamclass_0.58.tgz, r-oldrel: gamclass_0.58.tgz |
| Old sources: | gamclass archive |
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