<?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>A Canonical Correlation Analysis with Inferential Guaranties</dc:title>
  <dc:title>R package acca version 0.2</dc:title>
  <dc:description>It performs Canonical Correlation Analysis and provides inferential guaranties on the correlation components. The p-values are computed following the resampling method developed in Winkler, A. M., Renaud, O., Smith, S. M., &amp; Nichols, T. E. (2020). Permutation inference for canonical correlation analysis. NeuroImage, &lt;doi:10.1016/j.neuroimage.2020.117065&gt;. Furthermore, it provides plotting tools to visualize the results.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: methods, stats, ggplot2, plyr</dc:relation>
  <dc:creator>livio finos &lt;livio.finos@unipd.it&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Livio Finos</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2022-01-28</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=acca</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.acca</dc:identifier>
</oai_dc:dc>