<?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>Genotype-Specific Survival Estimation</dc:title>
  <dc:title>R package GSSE version 0.1</dc:title>
  <dc:subject>CRAN Task View: Survival (https://CRAN.R-project.org/view=Survival)</dc:subject>
  <dc:description>We propose a fully efficient sieve maximum likelihood method to estimate genotype-specific distribution of time-to-event outcomes under a nonparametric model. We can handle missing genotypes in pedigrees.  We estimate the time-dependent hazard ratio between two genetic mutation groups using B-splines, while applying nonparametric maximum likelihood estimation to the reference baseline hazard function.  The estimators are calculated via an expectation-maximization algorithm.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R(&gt;= 3.0.1)</dc:relation>
  <dc:relation>Imports: Iso (&gt;= 0.0-17), splines, stats, zoo (&gt;= 1.7-12)</dc:relation>
  <dc:relation>Suggests: MASS</dc:relation>
  <dc:creator>Baosheng Liang &lt;liangbsunc@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Baosheng Liang, Yuanjia Wang and Donglin Zeng</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2015-10-20</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=GSSE</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.GSSE</dc:identifier>
</oai_dc:dc>
