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:Kenneth Tay, Robert Tibshirani

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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

On CRAN:

Conda-Forge:

3.70 score 1 stars 9 scripts 129 downloads 3 exports 10 dependencies

Last updated 5 years agofrom:3d9fe7a9b4. Checks:1 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 05 2025
R-4.5-winNOTEMar 05 2025
R-4.5-macNOTEMar 05 2025
R-4.5-linuxNOTEMar 05 2025
R-4.4-winNOTEMar 05 2025
R-4.4-macNOTEMar 05 2025
R-4.4-linuxNOTEMar 05 2025
R-4.3-winNOTEMar 05 2025
R-4.3-macNOTEMar 05 2025

Exports:cv.rgamgetfrgam

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival

Introduction to Reluctant Generalized Additive Modeling (RGAM)

Kenneth Tay

Rendered fromrelgam.Rmdusingknitr::rmarkdownon Mar 05 2025.

Last update: 2020-01-20
Started: 2020-01-20