Package: relgam 1.0

Kenneth Tay

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:Kenneth Tay, Robert Tibshirani

relgam_1.0.tar.gz
relgam_1.0.zip(r-4.7)relgam_1.0.zip(r-4.6)relgam_1.0.zip(r-4.5)
relgam_1.0.tgz(r-4.6-any)relgam_1.0.tgz(r-4.5-any)
relgam_1.0.tar.gz(r-4.7-any)relgam_1.0.tar.gz(r-4.6-any)
relgam_1.0.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://cranhaven.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cranhaven/cranhaven.r-universe.dev/issues

On CRAN:

Conda:

archivedpackagesr-universe

2.70 score 5 stars 9 scripts 207 downloads 3 exports 10 dependencies

Last updated from:b54c461046 (on package/relgam). Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK117
source / vignettesOK154
linux-release-x86_64OK117
macos-release-arm64OK79
macos-oldrel-arm64OK96
windows-develOK77
windows-releaseOK87
windows-oldrelOK83
wasm-releaseOK114

Exports:cv.rgamgetfrgam

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival

Introduction to Reluctant Generalized Additive Modeling (RGAM)

Kenneth Tay

Rendered fromrelgam.Rmdusingknitr::rmarkdownon May 17 2026.

Last update: 2026-05-14
Started: 2026-05-14