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filtro: Feature Selection Using Supervised Filter-Based Methods
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: |
0.1.0 |
| Depends: |
R (≥ 4.1) |
| Imports: |
purrr, rlang (≥ 1.1.0), stats, tibble |
| Suggests: |
aorsf, dplyr, FSelectorRcpp, modeldata, partykit, ranger, testthat (≥ 3.0.0), titanic |
| Published: |
2025-07-18 |
| 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 |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
filtro results |
Documentation:
Downloads:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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