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:
gam_1.22-7.tar.gz
gam_1.22-7.zip(r-4.7-x86_64)gam_1.22-7.zip(r-4.7-arm64)gam_1.22-7.zip(r-4.6-x86_64)gam_1.22-7.zip(r-4.6-arm64)gam_1.22-7.zip(r-4.5-x86_64)
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✨
DESCRIPTION
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')) |
- gam.data - Simulated dataset for gam
- gam.newdata - Simulated dataset for gam
- kyphosis - A classic example dataset for GAMs
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:0d8107323a. Checks:14 OK, 1 WARNING. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 107 | ||
| linux-devel-x86_64 | OK | 127 | ||
| source / vignettes | OK | 178 | ||
| linux-release-arm64 | OK | 149 | ||
| linux-release-x86_64 | OK | 123 | ||
| macos-release-arm64 | OK | 120 | ||
| macos-release-x86_64 | OK | 154 | ||
| macos-oldrel-arm64 | OK | 114 | ||
| macos-oldrel-x86_64 | OK | 179 | ||
| windows-devel-arm64 | OK | 216 | ||
| windows-devel-x86_64 | OK | 128 | ||
| windows-release-arm64 | WARNING | 178 | ||
| windows-release-x86_64 | OK | 88 | ||
| windows-oldrel-x86_64 | OK | 71 | ||
| wasm-release | OK | 106 |
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
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generalized Additive Models | gam-package |
| Analysis of Deviance for a Generalized Additive Model | anova.Gam summary.Gam |
| Fitting Generalized Additive Models | gam gam.fit |
| Auxilliary for controlling GAM fitting | gam.control |
| Simulated dataset for gam | gam.data gam.newdata |
| A method for gam producing asymptotically exact standard errors for linear estimates | gam.exact |
| Specify a loess fit in a GAM formula | gam.lo lo |
| Specify a Random Effects Fit in a GAM Formula | gam.random random |
| Specify a Smoothing Spline Fit in a GAM Formula | gam.s s |
| Generate a scope for step.Gam | gam.scope |
| Smoothers available for backfitting | gam.smooth.list gam.smoothers |
| A classic example dataset for GAMs | kyphosis |
| Missing Data Filter for GAMs | na.gam.replace |
| Plot Components of a GAM Object | plot.Gam plot.preplot.Gam preplot.Gam |
| Predict method for GAM fits | predict.Gam |
| Stepwise model builder for GAM | step.Gam |