<?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>Fifty-Fifty MANOVA</dc:title>
  <dc:title>R package ffmanova version 1.1.2</dc:title>
  <dc:description>General linear modeling with multiple responses (MANCOVA). An overall p-value for each model term is calculated by the 50-50 MANOVA method by Langsrud (2002) &lt;doi:10.1111/1467-9884.00320&gt;, which handles collinear responses. Rotation testing, described by Langsrud (2005) &lt;doi:10.1007/s11222-005-4789-5&gt;, is used to compute adjusted single response p-values according to familywise error rates and false discovery rates (FDR). The approach to FDR is described in the appendix of Moen et al. (2005) &lt;doi:10.1128/AEM.71.4.2086-2094.2005&gt;. Unbalanced designs are handled by Type II sums of squares as argued in Langsrud (2003) &lt;doi:10.1023/A:1023260610025&gt;. Furthermore, the Type II philosophy is extended to continuous design variables as described in Langsrud et al. (2007) &lt;doi:10.1080/02664760701594246&gt;. This means that the method is invariant to scale changes and that common pitfalls are avoided.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: stats, utils</dc:relation>
  <dc:relation>Suggests: car, testthat</dc:relation>
  <dc:creator>Øyvind Langsrud &lt;oyl@ssb.no&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Øyvind Langsrud [aut, cre],
  Bjørn-Helge Mevik [aut]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2023-10-18</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ffmanova</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ffmanova</dc:identifier>
</oai_dc:dc>
