<?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>Adaptive Approaches for Signal Detection in Pharmacovigilance</dc:title>
  <dc:title>R package adapt4pv version 0.2-3</dc:title>
  <dc:description>A collection of several pharmacovigilance signal detection methods based on adaptive lasso. Additional lasso-based and propensity score-based signal detection approaches are also supplied. See Courtois et al &lt;doi:10.1186/s12874-021-01450-3&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.6.0), Matrix (&gt;= 1.0-6), glmnet (&gt;= 3.0-2)</dc:relation>
  <dc:relation>Imports: speedglm, xgboost, doParallel, foreach</dc:relation>
  <dc:creator>Emeline Courtois &lt;courtoise@iarc.who.int&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Emeline Courtois [cre],
  Ismaïl Ahmed [aut],
  Hervé Perdry [ctb]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2023-05-30</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=adapt4pv</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.adapt4pv</dc:identifier>
</oai_dc:dc>
