Functions for fitting and working with generalized additive models, as described in chapter 7 of "Statistical Models in S" (Chambers and Hastie (eds), 1991), and "Generalized Additive Models" (Hastie and Tibshirani, 1990).
| Version: | 1.16 |
| Depends: | stats, splines, foreach |
| Suggests: | akima |
| Published: | 2018-07-20 |
| Author: | Trevor Hastie |
| Maintainer: | Trevor Hastie <hastie at stanford.edu> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| In views: | Econometrics, Environmetrics, SocialSciences |
| CRAN checks: | gam results |
| Reference manual: | gam.pdf |
| Package source: | gam_1.16.tar.gz |
| Windows binaries: | r-devel: gam_1.16.zip, r-release: gam_1.16.zip, r-oldrel: gam_1.16.zip |
| OS X binaries: | r-release: gam_1.16.tgz, r-oldrel: gam_1.16.tgz |
| Old sources: | gam archive |
| Reverse depends: | CausalGAM, GAMens, LSC, MapGAM, mtsdi, ProDenICA |
| Reverse imports: | Ball, bandit, RPPanalyzer, scalpel, xpose4 |
| Reverse suggests: | agridat, arsenal, BiodiversityR, biomod2, broom, caret, DeclareDesign, DiceEval, dissever, drtmle, earth, ElemStatLearn, embryogrowth, empirical, fscaret, LinRegInteractive, locfit, medflex, oddsratio, slp, sm, ssym, subsemble, SuperLearner, tmle.npvi, tsModel, vimp, WeightIt, yaImpute |
| Reverse enhances: | prediction |
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