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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: 1.22-3
Depends: R (≥ 4.0), stats, splines, foreach
Imports: methods
Suggests: interp, testthat
Published: 2023-11-29
Author: Trevor Hastie
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.pdf

Downloads:

Package source: gam_1.22-3.tar.gz
Windows binaries: r-devel: gam_1.22-3.zip, r-release: gam_1.22-3.zip, r-oldrel: gam_1.22-3.zip
macOS binaries: r-release (arm64): gam_1.22-3.tgz, r-oldrel (arm64): gam_1.22-3.tgz, r-release (x86_64): gam_1.22-3.tgz, r-oldrel (x86_64): gam_1.22-3.tgz
Old sources: gam archive

Reverse dependencies:

Reverse depends: CausalGAM, GAMens, MapGAM, mtsdi, ProDenICA, SuperLearner
Reverse imports: Ball, bandit, CausalGPS, diversityForest, drpop, dtComb, flexOR, 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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=gam to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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