ProxReg: Linear Models for Prediction and Classification using Proximal Operators

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: 0.1.1
Imports: dplyr, EBImage, glmnet
Suggests: knitr, rmarkdown
Published: 2025-03-15
DOI: 10.32614/CRAN.package.ProxReg
Author: YingHong Chen [aut, cre]
Maintainer: YingHong Chen <yinghongchen1402 at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
CRAN checks: ProxReg results

Documentation:

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

Downloads:

Package source: ProxReg_0.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-devel (arm64): not available, r-release (arm64): not available, r-oldrel (arm64): not available, r-devel (x86_64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

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