<?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>Variable Selection via Cross-Validated Net Benefit</dc:title>
  <dc:title>R package NBvarsel version 0.1.1</dc:title>
  <dc:description>Performs exhaustive or groupwise (backward elimination) variable
    selection for binary outcome prediction models using cross-validated Net
    Benefit as the optimization criterion. It supports predictor costs,
    restricted cubic splines, interaction terms, permutation importance, and
    parallel computation. It includes visualizations for model comparison and
    variable importance. References include Vickers AJ &amp; Elkin EB (2006)
    &lt;doi:10.1177/0272989X06295361&gt;, Van Calster B et al. (2018)
    &lt;doi:10.1016/j.eururo.2018.08.038&gt;, Vickers AJ et al. (2019)
    &lt;doi:10.1186/s41512-019-0064-7&gt;, and Baker SG et al. (2012)
    &lt;doi:10.1515/1557-4679.1395&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: caret, DescTools, doParallel, dplyr, foreach, ggplot2, ggtext,
parallel, patchwork, pROC, rlang, rms, scales, stats, stringr,
tidyr</dc:relation>
  <dc:relation>Suggests: glmnet, ggsci, gt, knitr, quarto, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Lasai Barreñada &lt;lasai.barrenadataleb@kuleuven.be&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Lasai Barreñada [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0001-8020-0210&gt;, Department of Development
    and Regeneration ; Leuven Unit for Health Technology Assessment
    Research (LUHTAR), KU Leuven, Belgium),
  Laure Wynants [aut] (ORCID: &lt;https://orcid.org/0000-0002-3037-122X&gt;,
    Department of Development and Regeneration, KU Leuven, Belgium;
    Leuven Unit for Health Technology Assessment Research (LUHTAR), KU
    Leuven, Belgium; Department of Epidemiology, CAPHRI Care and Public
    Health Research Institute, Maastricht University, Maastricht,
    Netherlands),
  Ewout W. Steyerberg [aut] (ORCID:
    &lt;https://orcid.org/0000-0002-7787-0122&gt;, Julius Centre for Health
    Sciences and Primary Care, University Medical Centre Utrecht,
    Utrecht, Netherlands),
  Andrew Vickers [aut] (ORCID: &lt;https://orcid.org/0000-0003-1525-6503&gt;,
    Department of Epidemiology and Biostatistics, Memorial Sloan
    Kettering Cancer Center, New York, NY, USA),
  Ben Van Calster [aut] (ORCID: &lt;https://orcid.org/0000-0003-1613-7450&gt;,
    Department of Development and Regeneration, KU Leuven, Belgium;
    Leuven Unit for Health Technology Assessment Research (LUHTAR), KU
    Leuven, Belgium; Julius Centre for Health Sciences and Primary
    Care, University Medical Centre Utrecht, Utrecht, Netherlands)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2026-08-30</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=NBvarsel</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.NBvarsel</dc:identifier>
</oai_dc:dc>
