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-4.5)relgam_1.1.zip(r-4.4)relgam_1.1.zip(r-4.3)
relgam_1.1.tgz(r-4.4-any)relgam_1.1.tgz(r-4.3-any)
relgam_1.1.tar.gz(r-4.5-noble)relgam_1.1.tar.gz(r-4.4-noble)
relgam_1.1.tgz(r-4.4-emscripten)relgam_1.1.tgz(r-4.3-emscripten)
relgam.pdf |relgam.html✨
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 5 years agofrom:3d9fe7a9b4. Checks:OK: 1 NOTE: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 05 2024 |
| R-4.5-win | NOTE | Nov 05 2024 |
| R-4.5-linux | NOTE | Nov 05 2024 |
| R-4.4-win | NOTE | Nov 05 2024 |
| R-4.4-mac | NOTE | Nov 05 2024 |
| R-4.3-win | NOTE | Nov 05 2024 |
| R-4.3-mac | NOTE | Nov 05 2024 |
Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival
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 |
