<?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>Fisher-Shannon Method</dc:title>
  <dc:title>R package FiSh version 1.1</dc:title>
  <dc:description>Proposes non-parametric estimates of the Fisher information measure and the 
              Shannon entropy power. More theoretical and implementation details can be found
              in Guignard et al. &lt;doi:10.3389/feart.2020.00255&gt;. A 'python' version of this
              work is available on 'github' and 'PyPi' ('FiShPy').</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: fda.usc, KernSmooth</dc:relation>
  <dc:creator>Mohamed Laib &lt;laib.med@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Fabian Guignard [aut],
  Mohamed Laib [aut, cre]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=FiSh/LICENSE)</dc:rights>
  <dc:date>2021-05-03</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=FiSh</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.FiSh</dc:identifier>
</oai_dc:dc>
