<?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>Tools for Independent Vector Analysis</dc:title>
  <dc:title>R package ivaBSS version 1.0.0</dc:title>
  <dc:description>Independent vector analysis (IVA) is a blind source separation (BSS) model where several datasets are jointly unmixed. This package provides several methods for the unmixing together with some performance measures. For details, see Anderson et al. (2011) &lt;doi:10.1109/TSP.2011.2181836&gt; and Lee et al. (2007) &lt;doi:10.1016/j.sigpro.2007.01.010&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: stats, graphics, BSSprep</dc:relation>
  <dc:relation>Suggests: LaplacesDemon</dc:relation>
  <dc:creator>Mika Sipilä &lt;mika.e.sipila@student.jyu.fi&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Mika Sipilä [aut, cre],
  Klaus Nordhausen [aut] (ORCID: &lt;https://orcid.org/0000-0002-3758-8501&gt;),
  Sara Taskinen [aut] (ORCID: &lt;https://orcid.org/0000-0001-9470-7258&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2022-05-19</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=ivaBSS</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.ivaBSS</dc:identifier>
</oai_dc:dc>