<?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>Bioequivalence Study Data Analysis</dc:title>
  <dc:title>R package BE version 0.3.0</dc:title>
  <dc:subject>CRAN Task View: Pharmacokinetics (https://CRAN.R-project.org/view=Pharmacokinetics)</dc:subject>
  <dc:description>Analyze bioequivalence study data with industrial strength. The statistical core is delegated to the 'sasLM' package, which reproduces 'SAS' PROC GLM output; this covers the analysis of variance, the least square means, and the confidence interval of a 2x2 crossover study. Sample size could be determined for various crossover designs, such as 2x2 design, 2x4 design, 4x4 design, Balaam design, Two-sequence dual design, and William design.
             Reference: Chow SC, Liu JP. Design and Analysis of Bioavailability and Bioequivalence Studies. 3rd ed. (2009, ISBN:978-1-58488-668-6).</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: sasLM (&gt;= 1.0.1), rtf</dc:relation>
  <dc:creator>Kyun-Seop Bae &lt;k@acr.kr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Kyun-Seop Bae [aut, cre]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2026-07-29</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=BE</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.BE</dc:identifier>
</oai_dc:dc>
