Package: gam 1.22-4
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_1.22-4.tar.gz
gam_1.22-4.zip(r-4.5)gam_1.22-4.zip(r-4.4)gam_1.22-4.zip(r-4.3)
gam_1.22-4.tgz(r-4.4-arm64)gam_1.22-4.tgz(r-4.4-x86_64)gam_1.22-4.tgz(r-4.3-arm64)gam_1.22-4.tgz(r-4.3-x86_64)
gam_1.22-4.tar.gz(r-4.5-noble)gam_1.22-4.tar.gz(r-4.4-noble)
gam_1.22-4.tgz(r-4.4-emscripten)gam_1.22-4.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')) |
- 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 8 days agofrom:286a6041c1
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 |
