<?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>Network-Based R-Statistics using Mixed Effects Models</dc:title>
  <dc:title>R package NBR version 0.1.5</dc:title>
  <dc:description>An implementation of network-based statistics in R using mixed effects models.
    Theoretical background for Network-Based Statistics can be found in Zalesky et al. (2010)
    &lt;doi:10.1016/j.neuroimage.2010.06.041&gt;. For Mixed Effects Models check the
    R package &lt;https://CRAN.R-project.org/package=nlme&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.10)</dc:relation>
  <dc:relation>Imports: nlme, parallel, stats</dc:relation>
  <dc:relation>Suggests: graphics, knitr, lattice, rmarkdown, testthat (&gt;= 2.1.0)</dc:relation>
  <dc:creator>Zeus Gracia-Tabuenca &lt;zgtabuenca@comunidad.unam.mx&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Zeus Gracia-Tabuenca [aut, cre],
  Sarael Alcauter [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2022-10-03</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=NBR</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.NBR</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>
