Package: gam 1.22-7

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_1.22-7.tar.gz
gam_1.22-7.zip(r-4.7)gam_1.22-7.zip(r-4.6)gam_1.22-7.zip(r-4.5)
gam_1.22-7.tgz(r-4.6-x86_64)gam_1.22-7.tgz(r-4.6-arm64)gam_1.22-7.tgz(r-4.5-x86_64)gam_1.22-7.tgz(r-4.5-arm64)
gam_1.22-7.tar.gz(r-4.7-arm64)gam_1.22-7.tar.gz(r-4.7-x86_64)gam_1.22-7.tar.gz(r-4.6-arm64)gam_1.22-7.tar.gz(r-4.6-x86_64)
gam_1.22-7.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
gam/json (API)

# Install 'gam' in R:
install.packages('gam', repos = c('https://trevorhastie.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
Datasets:

On CRAN:

Conda:

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

openblas

9.92 score 4 stars 73 packages 2.9k scripts 33k downloads 112 mentions 44 exports 3 dependencies

Last updated from:0d8107323a. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK150
linux-devel-x86_64OK113
source / vignettesOK196
linux-release-arm64OK135
linux-release-x86_64OK135
macos-release-arm64OK124
macos-release-x86_64OK171
macos-oldrel-arm64OK131
macos-oldrel-x86_64OK172
windows-develOK96
windows-releaseOK94
windows-oldrelOK83
wasm-releaseOK99

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