<?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>Adapted Boxplot to Missing Observations</dc:title>
  <dc:title>R package IPWboxplot version 0.1.2</dc:title>
  <dc:subject>CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData)</dc:subject>
  <dc:description>Boxplots adapted to the happenstance of missing observations where drop-out probabilities can be given by the practitioner or  modelled  using auxiliary covariates. The paper of "Zhang, Z., Chen, Z., Troendle, J. F. and Zhang, J.(2012) &lt;doi:10.1111/j.1541-0420.2011.01712.x&gt;", proposes estimators of marginal quantiles based on the Inverse Probability Weighting method.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: isotone</dc:relation>
  <dc:relation>Suggests: mice, knitr, rmarkdown</dc:relation>
  <dc:creator>Ana Perez-Gonzalez &lt;anapg@uvigo.es&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Ana Maria Bianco [aut], Graciela Boente [aut], Ana Perez-Gonzalez [aut] </dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2023-10-21</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=IPWboxplot</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.IPWboxplot</dc:identifier>
</oai_dc:dc>