<?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>Win Statistics Inference for Cluster-Randomized Trials</dc:title>
  <dc:title>R package WinsCRT version 0.1.0</dc:title>
  <dc:description>Provides estimation and inference for win statistics in
    cluster-randomized trials with prioritized (hierarchical) composite
    outcomes. Supported summaries include the win ratio, win odds, net
    benefit, and desirability of outcome ranking (DOOR), with variance
    estimation and testing procedures that account for within-cluster
    correlation. Methods are described in the accompanying manuscript
    (2026) &lt;doi:10.48550/arXiv.2604.18341&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: Rcpp, stats</dc:relation>
  <dc:relation>LinkingTo: Rcpp</dc:relation>
  <dc:creator>Xi Fang &lt;x.fang@yale.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Xi Fang [aut, cre],
  Fan Li [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-06-18</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=WinsCRT</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.WinsCRT</dc:identifier>
</oai_dc:dc>
