filtro: Feature Selection Using Supervised Filter-Based Methods (original) (raw)
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) <doi:10.1201/9781315108230>).
Version:
0.2.0
Depends:
R (≥ 4.1)
Imports:
cli, desirability2 (≥ 0.1.0), dplyr, generics, pROC, purrr, rlang (≥ 1.1.0), S7, stats, tibble, tidyr, vctrs
Suggests:
aorsf, FSelectorRcpp, knitr, modeldata, partykit, quarto, ranger, rmarkdown, testthat (≥ 3.0.0), titanic
Published:
2025-08-26
DOI:
Author:
Frances Lin [aut, cre], Max Kuhn 
[aut], Emil Hvitfeldt [aut], Posit Software, PBC 
[cph, fnd]
Maintainer:
Frances Lin
BugReports:
https://github.com/tidymodels/filtro/issues
License:
MIT + file
URL:
https://github.com/tidymodels/filtro,https://filtro.tidymodels.org/
NeedsCompilation:
no
Materials:
CRAN checks: