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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 |
Reference manual: | ProxReg.pdf |
Vignettes: |
Manual for the package: linearreg (source, R code) |
Package source: | ProxReg_0.1.1.tar.gz |
Windows binaries: | r-devel: ProxReg_0.1.1.zip, r-release: ProxReg_0.1.1.zip, r-oldrel: ProxReg_0.1.1.zip |
macOS binaries: | r-devel (arm64): ProxReg_0.1.1.tgz, r-release (arm64): ProxReg_0.1.1.tgz, r-oldrel (arm64): ProxReg_0.1.1.tgz, r-devel (x86_64): ProxReg_0.1.1.tgz, r-release (x86_64): ProxReg_0.1.1.tgz, r-oldrel (x86_64): ProxReg_0.1.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.