<?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>Block-Wise Rank in Similarity Graph Edge-Count Two-Sample Test
(BRISE)</dc:title>
  <dc:title>R package BlockwiseRankTest version 0.1.0</dc:title>
  <dc:description>Implements the Block-wise Rank in Similarity Graph Edge-count 
    test (BRISE), a rank-based two-sample test designed for block-wise 
    missing data. The method constructs (pattern) pair-wise similarity graphs 
    and derives quadratic test statistics with asymptotic chi-square 
    distribution or permutation-based p-values. It provides both 
    vectorized and congregated versions for flexible inference. 
    The methodology is described in Zhang, Liang, Maile, and 
    Zhou (2025) &lt;doi:10.48550/arXiv.2508.17411&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: stats</dc:relation>
  <dc:relation>Suggests: testthat (&gt;= 3.0.0), knitr, rmarkdown</dc:relation>
  <dc:creator>Kejian Zhang &lt;kejianzhang@u.nus.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Kejian Zhang [aut, cre],
  Doudou Zhou [aut] (ORCID: &lt;https://orcid.org/0000-0002-0830-2287&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2025-10-01</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=BlockwiseRankTest</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.BlockwiseRankTest</dc:identifier>
</oai_dc:dc>
