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 + file LICENSE |
URL: |
https://github.com/tidymodels/filtro,
https://filtro.tidymodels.org/ |
NeedsCompilation: |
no |
Materials: |
README, NEWS |
CRAN checks: |
filtro results |