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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "filtro" in publications use:'
type: software
license: MIT
title: 'filtro: Feature Selection Using Supervised Filter-Based Methods'
version: 0.2.0.9000
doi: 10.32614/CRAN.package.filtro
abstract: Tidy tools to apply filter-based supervised feature selection methods. These
  methods score and rank feature relevance using metrics such as p-values, correlation,
  and importance scores (Kuhn and Johnson (2019) <https://doi.org/10.1201/9781315108230>).
authors:
- family-names: Lin
  given-names: Frances
  email: franceslinyc@gmail.com
- family-names: Kuhn
  given-names: Max
  email: max@posit.co
  orcid: https://orcid.org/0000-0003-2402-136X
- family-names: Hvitfeldt
  given-names: Emil
  email: emil.hvitfeldt@posit.co
repository: https://tidymodels.r-universe.dev
repository-code: https://github.com/tidymodels/filtro
commit: 8722710f6cbf2676e708064a76a4b3bdc109effc
url: https://filtro.tidymodels.org/
date-released: '2025-08-26'
contact:
- family-names: Lin
  given-names: Frances
  email: franceslinyc@gmail.com