<?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>Correlation of Bivariate Survival Times</dc:title>
  <dc:title>R package SurvCorr version 1.1</dc:title>
  <dc:subject>CRAN Task View: Survival (https://CRAN.R-project.org/view=Survival)</dc:subject>
  <dc:description>Estimates correlation coefficients with associated
   confidence limits for bivariate, partially censored survival times. Uses
   the iterative multiple imputation approach proposed
   by Schemper, Kaider, Wakounig and Heinze (2013) &lt;doi:10.1002/sim.5874&gt;. Provides a scatterplot function to visualize the bivariate 
   distribution, either on the original time scale or as copula.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.0.2)</dc:relation>
  <dc:relation>Imports: survival, fields</dc:relation>
  <dc:creator>Georg Heinze &lt;georg.heinze@meduniwien.ac.at&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Georg Heinze [aut, cre],
  Meinhard Ploner [aut],
  Alexandra Kaider [aut],
  Gregor Steiner [aut]</dc:contributor>
  <dc:rights>GPL</dc:rights>
  <dc:date>2022-11-08</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=SurvCorr</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.SurvCorr</dc:identifier>
</oai_dc:dc>
