<?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>An R Package for Biomarkers Analysis in Precision Medicine</dc:title>
  <dc:title>R package BioPred version 1.0.2</dc:title>
  <dc:description>Provides functions for training extreme gradient boosting model using propensity score A-learning and weight-learning methods. For further details, see Liu et al. (2024) &lt;doi:10.1093/bioinformatics/btae592&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0.0)</dc:relation>
  <dc:relation>Imports: xgboost, pROC, ggplot2, PropCIs, survival, survminer, mgcv,
onewaytests, car</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, kableExtra</dc:relation>
  <dc:creator>Zihuan Liu &lt;zihuan.liu@abbvie.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Zihuan Liu [aut, cre],
  Yan Sun [aut],
  Xin Huang [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2024-11-04</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=BioPred</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.BioPred</dc:identifier>
  <dc:language>en</dc:language>
</oai_dc:dc>
