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ProxReg: Linear Models for Prediction and Classification using ProximalOperators

Implements optimization techniques for Lasso regression, R.Tibshirani(1996)<doi:10.1111/j.2517-6161.1996.tb02080.x> using Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) and Iterative Shrinkage-Thresholding Algorithm (ISTA) based on proximal operators, A.Beck(2009)<doi:10.1137/080716542>. The package is useful for high-dimensional regression problems and includes cross-validation procedures to select optimal penalty parameters.

Version:1.1.2
Imports:dplyr,EBImage,glmnet
Suggests:knitr,rmarkdown
Published:2025-06-17
DOI:10.32614/CRAN.package.ProxReg
Author:YingHong Chen [aut, cre], Ferran Reverter Comes [aut], Esteban Vegas Lozano [aut]
Maintainer:YingHong Chen <yinghongchen1402 at gmail.com>
License:MIT + fileLICENSE
NeedsCompilation:no
Language:en-US
CRAN checks:ProxReg results

Documentation:

Reference manual:ProxReg.html ,ProxReg.pdf
Vignettes:Manual for the package: ProxReg (source,R code)

Downloads:

Package source: ProxReg_1.1.2.tar.gz
Windows binaries: r-devel:ProxReg_1.1.2.zip, r-release:ProxReg_1.1.2.zip, r-oldrel:ProxReg_1.1.2.zip
macOS binaries: r-release (arm64):ProxReg_1.1.2.tgz, r-oldrel (arm64):ProxReg_1.1.2.tgz, r-release (x86_64):ProxReg_1.1.2.tgz, r-oldrel (x86_64):ProxReg_1.1.2.tgz
Old sources: ProxReg archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=ProxRegto link to this page.


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