The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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: | 1.22-5 |
Depends: | R (≥ 4.0), stats, splines, foreach |
Imports: | methods |
Suggests: | interp, testthat |
Published: | 2024-09-12 |
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 |
Reference manual: | gam.pdf |
Package source: | gam_1.22-5.tar.gz |
Windows binaries: | r-devel: gam_1.22-5.zip, r-release: gam_1.22-5.zip, r-oldrel: gam_1.22-5.zip |
macOS binaries: | r-release (arm64): gam_1.22-5.tgz, r-oldrel (arm64): gam_1.22-5.tgz, r-release (x86_64): gam_1.22-5.tgz, r-oldrel (x86_64): gam_1.22-5.tgz |
Old sources: | gam archive |
Reverse depends: | CausalGAM, GAMens, MapGAM, mtsdi, ProDenICA, SuperLearner |
Reverse imports: | Ball, bandit, CausalGPS, DeepLearningCausal, diversityForest, drpop, dtComb, flexOR, glam, ipd, mixcure, MultiKink, netmediate, PAMpal, precmed, RPPanalyzer, scalpel, sffdr, 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 |
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.
Health stats visible at Monitor.