<?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>Fit Sparse Linear Regression Models via Nonconvex Optimization</dc:title>
  <dc:title>R package sparsenet version 1.7</dc:title>
  <dc:description>Efficient procedure for fitting regularization paths between L1 and L0, using the MC+ penalty of Zhang, C.H. (2010)&lt;doi:10.1214/09-AOS729&gt;. Implements the methodology described in Mazumder, Friedman and Hastie (2011) &lt;DOI: 10.1198/jasa.2011.tm09738&gt;. Sparsenet computes the regularization surface over both the family parameter and the tuning parameter by coordinate descent.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: Matrix (&gt;= 1.0-6), shape</dc:relation>
  <dc:relation>Imports: methods</dc:relation>
  <dc:creator>Trevor Hastie &lt;hastie@stanford.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Trevor Hastie [aut, cre],
  Rahul Mazumder [aut],
  Jerome Friedman [aut]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2024-11-16</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=sparsenet</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.sparsenet</dc:identifier>
</oai_dc:dc>