Package: gam 1.22-5

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).

Authors:Trevor Hastie [aut, cre], Balasubramanian Narasimhan [ctb]

gam_1.22-5.tar.gz
gam_1.22-5.zip(r-4.5)gam_1.22-5.zip(r-4.4)gam_1.22-5.zip(r-4.3)
gam_1.22-5.tgz(r-4.4-x86_64)gam_1.22-5.tgz(r-4.4-arm64)gam_1.22-5.tgz(r-4.3-x86_64)gam_1.22-5.tgz(r-4.3-arm64)
gam_1.22-5.tar.gz(r-4.5-noble)gam_1.22-5.tar.gz(r-4.4-noble)
gam_1.22-5.tgz(r-4.4-emscripten)gam_1.22-5.tgz(r-4.3-emscripten)
gam.pdf |gam.html✨
gam/json (API)

# Install 'gam' in R:
install.packages('gam', repos = c('https://trevorhastie.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

9.67 score 4 stars 60 packages 2.2k scripts 20k downloads 112 mentions 44 exports 3 dependencies

Last updated 1 months agofrom:dadb5fdbe3. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 13 2024
R-4.5-win-x86_64OKOct 13 2024
R-4.5-linux-x86_64OKOct 13 2024
R-4.4-win-x86_64OKOct 13 2024
R-4.4-mac-x86_64OKOct 13 2024
R-4.4-mac-aarch64OKOct 13 2024
R-4.3-win-x86_64OKOct 13 2024
R-4.3-mac-x86_64OKOct 13 2024
R-4.3-mac-aarch64OKOct 13 2024

Exports:anova.Gamanova.Gamlistas.anovaas.data.frame.lo.smoothassign.listgamgam.controlgam.exactgam.fitgam.logam.matchgam.nlchisqgam.randomgam.sgam.scopegam.smooth.listgam.smoothersgam.spGamlistgeneral.wamgplotgplot.factorgplot.listgplot.matrixgplot.numericlabels.Gamlolo.wamna.gam.replacenewdata.predict.Gamplot.Gamplot.preplot.Gampolylopredict.Gampreplot.Gamprint.Gamprint.Gamexprint.summary.Gamrandomss.wamstep.Gamsummary.Gamylim.scale

Dependencies:codetoolsforeachiterators