<?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>Group Lasso Penalized Learning Using a Unified BMD Algorithm</dc:title>
  <dc:title>R package gglasso version 1.6</dc:title>
  <dc:description>A unified algorithm, blockwise-majorization-descent (BMD), for efficiently computing the solution paths of the group-lasso penalized least squares, logistic regression, Huberized SVM and squared SVM. The package is an implementation of Yang, Y. and Zou, H. (2015) &lt;doi:10.1007/s11222-014-9498-5&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: methods</dc:relation>
  <dc:relation>Suggests: testthat, knitr, rmarkdown</dc:relation>
  <dc:creator>Yi Yang &lt;yi.yang6@mcgill.ca&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Yi Yang [aut, cre] (http://www.math.mcgill.ca/yyang/),
  Hui Zou [aut] (http://users.stat.umn.edu/~zouxx019/),
  Sahir Bhatnagar [aut] (http://sahirbhatnagar.com/)</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2025-05-08</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=gglasso</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.gglasso</dc:identifier>
</oai_dc:dc>