<?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>The 'epilogi' Variable Selection Algorithm for Continuous Data</dc:title>
  <dc:title>R package epilogi version 1.2</dc:title>
  <dc:description>The 'epilogi' variable selection algorithm is implemented for the case of continuous response and predictor variables. The relevant paper is: Lakiotaki K., Papadovasilakis Z., Lagani V., Fafalios S., Charonyktakis P., Tsagris M. and Tsamardinos I. (2023). "Automated machine learning for Genome Wide Association Studies". Bioinformatics, 39(9): btad545. &lt;doi:10.1093/bioinformatics/btad545&gt;. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0)</dc:relation>
  <dc:relation>Imports: Rfast, stats</dc:relation>
  <dc:relation>Suggests: Rfast2</dc:relation>
  <dc:creator>Michail Tsagris &lt;mtsagris@uoc.gr&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Michail Tsagris [aut, cre]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2024-12-23</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=epilogi</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.epilogi</dc:identifier>
</oai_dc:dc>