Package: relgam 1.1
relgam: Reluctant Generalized Additive Models
A method for fitting the entire regularization path of the reluctant generalized additive model (RGAM) for linear regression, logistic, Poisson and Cox regression models. See Tay, J. K., and Tibshirani, R., (2019) <arxiv:1912.01808> for details.
Authors:
relgam_1.1.tar.gz
relgam_1.1.zip(r-4.7)relgam_1.1.zip(r-4.6)relgam_1.1.zip(r-4.5)
relgam_1.1.tgz(r-4.6-any)relgam_1.1.tgz(r-4.5-any)
relgam_1.1.tar.gz(r-4.7-any)relgam_1.1.tar.gz(r-4.6-any)
relgam_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
relgam/json (API)
| # Install 'relgam' in R: |
| install.packages('relgam', repos = c('https://kjytay.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kjytay/relgam/issues
Last updated from:3d9fe7a9b4. Checks:8 ERROR, 1 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | ERROR | 124 | ||
| source / vignettes | ERROR | 186 | ||
| linux-release-x86_64 | ERROR | 122 | ||
| macos-release-arm64 | ERROR | 118 | ||
| macos-oldrel-arm64 | ERROR | 141 | ||
| windows-devel | ERROR | 68 | ||
| windows-release | ERROR | 76 | ||
| windows-oldrel | ERROR | 86 | ||
| wasm-release | OK | 96 |
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival
Vignettes and/or manual for this package failed to build, some documents may be unavailable. Please inspect thebuild logs for more information.
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Cross-validation for reluctant generalized additive model (rgam) | cv.rgam |
| Get RGAM model component for one feature | getf |
| Make non-linear features | makef |
| Compute ROC and other performance measures for binomial model | myroc |
| Plot the cross-validation curve produced by "cv.rgam" object | plot.cv.rgam |
| Make a plot of rgam model fit | plot.rgam |
| Make predictions from a "cv.rgam" object | predict.cv.rgam |
| Make predictions from a "rgam" object | predict.rgam |
| Print a cross-validated rgam object | print.cv.rgam |
| Print a rgam object | print.rgam |
| Fit reluctant generalized additive model | rgam |
| rgam summary routine | summary.rgam |
