<?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>FDR(BH) Boxplot and FWER(Holm) Boxplot</dc:title>
  <dc:title>R package AdaptiveBoxplot version 0.1.1</dc:title>
  <dc:description>Implements a framework for creating boxplots where the 
    whisker lengths are determined by formal multiple testing procedures, 
    making them adaptive to sample size and data characteristics. The function bh_boxplot()
    generates boxplots that control the False Discovery 
    Rate (FDR) via the Benjamini-Hochberg procedure, and the function holm_boxplot() generates
    boxplots that control the Family-Wise Error Rate (FWER) via the Holm procedure. 
    The methods are based on the framework in Gang, Lin, and Tong (2025) 
    &lt;doi:10.48550/arXiv.2510.20259&gt;. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:creator>Bowen Gang &lt;gangbowen02@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Bowen Gang [aut, cre],
  Hongmei Lin [aut],
  Tiejun Tong [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2025-12-09</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=AdaptiveBoxplot</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.AdaptiveBoxplot</dc:identifier>
</oai_dc:dc>
