gam: Generalized Additive Models

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:	1.22-7
Depends:	R (≥ 4.0), stats, splines, foreach
Imports:	methods
Suggests:	interp, testthat
Published:	2025-12-10
DOI:	10.32614/CRAN.package.gam
Author:	Trevor Hastie [aut, cre], Balasubramanian Narasimhan [ctb]
Maintainer:	Trevor Hastie <hastie at stanford.edu>
License:	GPL-2
NeedsCompilation:	yes
Materials:	README, ChangeLog
In views:	Econometrics, Environmetrics
CRAN checks:	gam results

Documentation:

Reference manual:

gam.html , gam.pdf

Downloads:

Package source:	gam_1.22-7.tar.gz
Windows binaries:	r-devel: gam_1.22-7.zip, r-release: gam_1.22-7.zip, r-oldrel: gam_1.22-7.zip
macOS binaries:	r-release (arm64): gam_1.22-7.tgz, r-oldrel (arm64): gam_1.22-7.tgz, r-release (x86_64): gam_1.22-7.tgz, r-oldrel (x86_64): gam_1.22-7.tgz
Old sources:	gam archive

Reverse dependencies:

Reverse depends:	CausalGAM, GAMens, LogisticEnsembles, MapGAM, mtsdi, NumericEnsembles, ProDenICA, SuperLearner
Reverse imports:	Ball, bandit, CausalGPS, diversityForest, drpop, dtComb, glam, ipd, mixcure, MultiKink, NeEDS4BigData, netmediate, PAMpal, precmed, RPPanalyzer, singR, sufficientForecasting, vaccine, xpose4
Reverse suggests:	agridat, BiodiversityR, biomod2, broom, broom.helpers, caret, caretSDM, DeclareDesign, DeepLearningCausal, DiceEval, dissever, drtmle, earth, embryogrowth, ggeffects, insight, LinRegInteractive, locfit, marginaleffects, medflex, MitoHEAR, oddsratio, parameters, pathMED, RBF, RSAGA, scar, slp, sm, ssym, subsemble, survML, tmle, vimp, yaImpute
Reverse enhances:	prediction

Linking:

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