<?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 Variable Selection using Genetic Algorithms</dc:title>
  <dc:title>R package AVGAS version 0.1.0</dc:title>
  <dc:description>We provide a stage-wise selection method using genetic algorithm which can perform fast interaction selection in high-dimensional linear regression models with two-way interaction effects under strong, weak, or no heredity condition. Ye, C.,and Yang,Y. (2019) &lt;doi:10.1109/TIT.2019.2913417&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: utils, Matrix, pracma, stats, dplyr, selectiveInference,
VariableScreening, ggplot2</dc:relation>
  <dc:creator>Leiyue Li &lt;lli289.git@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Leiyue Li [aut, cre],
  Chenglong Ye [aut]</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2023-12-20</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=AVGAS</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.AVGAS</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>