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cff-version: 1.2.0
message: 'To cite package "NBvarsel" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'NBvarsel: Variable Selection via Cross-Validated Net Benefit'
version: 0.1.1
doi: 10.32614/CRAN.package.NBvarsel
abstract: 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 & Elkin
  EB (2006) <https://doi.org/10.1177/0272989X06295361>, Van Calster B et al. (2018)
  <https://doi.org/10.1016/j.eururo.2018.08.038>, Vickers AJ et al. (2019) <https://doi.org/10.1186/s41512-019-0064-7>,
  and Baker SG et al. (2012) <https://doi.org/10.1515/1557-4679.1395>.
authors:
- family-names: Barreñada
  given-names: Lasai
  email: lasai.barrenadataleb@kuleuven.be
  orcid: https://orcid.org/0000-0001-8020-0210
- family-names: Wynants
  given-names: Laure
  orcid: https://orcid.org/0000-0002-3037-122X
- family-names: Steyerberg
  given-names: Ewout W.
  orcid: https://orcid.org/0000-0002-7787-0122
- family-names: Vickers
  given-names: Andrew
  orcid: https://orcid.org/0000-0003-1525-6503
- family-names: Van Calster
  given-names: Ben
  orcid: https://orcid.org/0000-0003-1613-7450
repository: https://lasaibarrenada.r-universe.dev
repository-code: https://github.com/LasaiBarrenada/NB_varsel
commit: 719fb2195a05988f2c7f80bfafb24d67b1be72ac
url: https://lasaibarrenada.github.io/NB_varsel/
date-released: '2026-09-09'
contact:
- family-names: Barreñada
  given-names: Lasai
  email: lasai.barrenadataleb@kuleuven.be
  orcid: https://orcid.org/0000-0001-8020-0210