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.

Version: 1.0
Imports: glmnet, foreach
Suggests: knitr, rmarkdown
Published: 2020-01-13
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

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Reference manual: relgam.pdf
Vignettes: rgam
Package source: relgam_1.0.tar.gz
Windows binaries: r-devel: relgam_1.0.zip, r-devel-gcc8: relgam_1.0.zip, r-release: relgam_1.0.zip, r-oldrel: relgam_1.0.zip
OS X binaries: r-release: relgam_1.0.tgz, r-oldrel: relgam_1.0.tgz

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