<?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>Policy Learning Under Constraint</dc:title>
  <dc:title>R package PLUCR version 0.1.0</dc:title>
  <dc:description>Estimating treatment probabilities that maximize a primary 
    clinical outcome while controlling for the occurrence of adverse events. 
    The 'PLUCR' package implements methods for constrained policy learning. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: dplyr, ggplot2, grf, gridExtra, magrittr, R.utils, scales,
stats, SuperLearner, tibble, tidyr, tidyselect, glue</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown</dc:relation>
  <dc:creator>Laura Fuentes &lt;laura.fuentes-vicente@inria.fr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Laura Fuentes [aut, cre]</dc:contributor>
  <dc:rights>AGPL-3</dc:rights>
  <dc:date>2026-03-30</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=PLUCR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.PLUCR</dc:identifier>
</oai_dc:dc>
