<?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>A Semi-Supervised Method for Prediction of Phenotype Event Times</dc:title>
  <dc:title>R package SAMGEP version 0.1.0-1</dc:title>
  <dc:description>A novel semi-supervised machine learning algorithm to predict phenotype event times using Electronic Health Record (EHR) data.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: stats, mvtnorm, nlme, pROC, abind, nloptr, foreach,
doParallel, parallel, Rcpp</dc:relation>
  <dc:relation>LinkingTo: Rcpp, RcppArmadillo</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Yuri Ahuja &lt;Yuri_Ahuja@hms.harvard.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Yuri Ahuja [aut, cre],
  Tianxi Cai [aut],
  PARSE LTD [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2021-01-06</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=SAMGEP</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.SAMGEP</dc:identifier>
</oai_dc:dc>
