<?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>Various Methods for the Two Sample Problem</dc:title>
  <dc:title>R package R2sample version 4.1.0</dc:title>
  <dc:description>The routine twosample_test() in this package runs the
    two sample test using various test statistic. The p values are
    found via permutation or large sample theory. The routine twosample_power() allows the
    calculation of the power in various cases, and plot_power() draws the corresponding power graphs.
    The routine run.studies allows a user to quickly study the power of a new method and 
    how it compares to some of the standard ones.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5)</dc:relation>
  <dc:relation>Imports: Rcpp, parallel, shiny, ggplot2, stats, graphics,
microbenchmark</dc:relation>
  <dc:relation>LinkingTo: Rcpp</dc:relation>
  <dc:relation>Suggests: rmarkdown, knitr, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Wolfgang Rolke &lt;wolfgang.rolke@upr.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Wolfgang Rolke [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-3514-726X&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2025-06-16</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=R2sample</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.R2sample</dc:identifier>
</oai_dc:dc>
