<?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>Geographically Weighted Logistic Elastic Net Regression</dc:title>
  <dc:title>R package GWLelast version 1.2.2</dc:title>
  <dc:description>Fit a geographically weighted logistic elastic net regression. Detailed explanations can be found in Yoneoka et al. (2016): New algorithm for constructing area-based index with geographical heterogeneities and variable selection: An application to gastric cancer screening &lt;doi:10.1038/srep26582&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.0.1)</dc:relation>
  <dc:relation>Imports: doParallel, geosphere, sp, spgwr, glmnet, foreach, methods,
stats</dc:relation>
  <dc:creator>Daisuke Yoneoka &lt;blue.sky.sea.dy@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Daisuke Yoneoka, Eiko Saito</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=GWLelast/LICENSE)</dc:rights>
  <dc:date>2019-02-10</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=GWLelast</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.GWLelast</dc:identifier>
</oai_dc:dc>