<?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>Model Free Approach to Quantifying Surrogacy</dc:title>
  <dc:title>R package OptimalSurrogate version 1.0</dc:title>
  <dc:description>Identifies an optimal transformation of a surrogate marker such that the proportion of treatment effect explained can be inferred based on the transformation of the surrogate and nonparametrically estimates two model-free quantities of this proportion. Details are described in Wang et al (2020) &lt;doi:10.1093/biomet/asz065&gt;.    </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.0)</dc:relation>
  <dc:relation>Imports: splines, MASS, stats</dc:relation>
  <dc:creator>Layla Parast &lt;parast@austin.utexas.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Xuan Wang [aut],
  Layla Parast [aut, cre],
  Ming Yang [aut],
  Lu Tian [aut],
  Tianxi Cai [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2022-09-27</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=OptimalSurrogate</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.OptimalSurrogate</dc:identifier>
</oai_dc:dc>
