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: 1.22-4
Depends: R (≥ 4.0), stats, splines, foreach
Imports: methods
Suggests: interp, testthat
Published: 2024-07-18
DOI: 10.32614/CRAN.package.gam
Author: Trevor Hastie
Maintainer: Trevor Hastie <hastie at>
License: GPL-2
NeedsCompilation: yes
Materials: README ChangeLog
In views: Econometrics, Environmetrics
CRAN checks: gam results


Reference manual: gam.pdf


Package source: gam_1.22-4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): gam_1.22-4.tgz, r-oldrel (arm64): gam_1.22-4.tgz, r-release (x86_64): gam_1.22-4.tgz, r-oldrel (x86_64): gam_1.22-4.tgz
Old sources: gam archive

Reverse dependencies:

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


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