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: | 10.32614/CRAN.package.filtro |
| Author: | Frances Lin [aut, cre], Max Kuhn [aut], Emil Hvitfeldt [aut], Posit Software, PBC [cph, fnd] |
| Maintainer: | Frances Lin <franceslinyc at gmail.com> |
| BugReports: | https://github.com/tidymodels/filtro/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/tidymodels/filtro,https://filtro.tidymodels.org/ |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | filtro results |