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gam: Generalized Additive Models

Functions for fitting and working with generalizedadditive 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,sffdr,singR,sufficientForecasting,vaccine,xpose4
Reverse suggests:agridat,BiodiversityR,biomod2,broom,broom.helpers,caret,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:

Please use the canonical formhttps://CRAN.R-project.org/package=gamto link to this page.


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