<?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>Regularization for Semiparametric Additive Hazards Regression</dc:title>
  <dc:title>R package ahaz version 1.15.1</dc:title>
  <dc:subject>CRAN Task View: MachineLearning (https://CRAN.R-project.org/view=MachineLearning)</dc:subject>
  <dc:subject>CRAN Task View: Survival (https://CRAN.R-project.org/view=Survival)</dc:subject>
  <dc:description>Computationally efficient procedures for regularized
        estimation with the semiparametric additive hazards regression
        model.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10), survival, Matrix, methods</dc:relation>
  <dc:creator>Anders Gorst-Rasmussen &lt;agorstras@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Anders Gorst-Rasmussen [aut, cre]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2024-11-04</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ahaz</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ahaz</dc:identifier>
</oai_dc:dc>
