<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Linear Models for Prediction and Classification using Proximal
Operators</dc:title>
  <dc:title>R package ProxReg version 1.1.2</dc:title>
  <dc:description>Implements optimization techniques for Lasso regression, R.Tibshirani(1996)&lt;doi:10.1111/j.2517-6161.1996.tb02080.x&gt; using Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) and Iterative Shrinkage-Thresholding Algorithm (ISTA) based on proximal operators, A.Beck(2009)&lt;doi:10.1137/080716542&gt;. The package is useful for high-dimensional regression problems and includes cross-validation procedures to select optimal penalty parameters.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: dplyr, EBImage, glmnet</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown,</dc:relation>
  <dc:creator>YingHong Chen &lt;yinghongchen1402@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>YingHong Chen [aut, cre],
  Ferran Reverter Comes [aut],
  Esteban Vegas Lozano [aut]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=ProxReg/LICENSE)</dc:rights>
  <dc:date>2025-06-17</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ProxReg</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ProxReg</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
