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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) <doi:10.48550/arXiv.1912.01808> for details.
| Version: | 1.0 |
| Imports: | glmnet, foreach |
| Suggests: | knitr, rmarkdown |
| Published: | 2020-01-13 |
| DOI: | 10.32614/CRAN.package.relgam |
| Author: | Kenneth Tay, Robert Tibshirani |
| Maintainer: | Kenneth Tay <kjytay at stanford.edu> |
| License: | GPL-3 |
| URL: | https://arxiv.org/abs/1912.01808 |
| NeedsCompilation: | no |
| CRAN checks: | relgam results |
| Reference manual: | relgam.pdf |
| Vignettes: |
rgam |
| Package source: | relgam_1.0.tar.gz |
| Windows binaries: | r-devel: relgam_1.0.zip, r-release: relgam_1.0.zip, r-oldrel: relgam_1.0.zip |
| macOS binaries: | r-release (arm64): relgam_1.0.tgz, r-oldrel (arm64): relgam_1.0.tgz, r-release (x86_64): relgam_1.0.tgz, r-oldrel (x86_64): relgam_1.0.tgz |
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These binaries (installable software) and packages are in development.
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