<?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>Penalised Regression for Dichotomised Outcomes</dc:title>
  <dc:title>R package cornet version 1.0.0</dc:title>
  <dc:description>Implements lasso and ridge regression for dichotomised outcomes (&lt;doi:10.1080/02664763.2023.2233057&gt;), i.e., numerical outcomes that were transformed to binary outcomes. Such artificial binary outcomes indicate whether an underlying measurement is greater than a threshold.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.0.0)</dc:relation>
  <dc:relation>Imports: glmnet, palasso</dc:relation>
  <dc:relation>Suggests: knitr, testthat, rmarkdown, RColorBrewer, MASS, mvtnorm,
randomForest, xgboost, MLmetrics</dc:relation>
  <dc:creator>Armin Rauschenberger &lt;armin.rauschenberger@uni.lu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Armin Rauschenberger [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0001-6498-4801&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2024-09-26</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=cornet</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.cornet</dc:identifier>
</oai_dc:dc>
