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>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.0 |
rolling source/ R- | filtro_0.2.0.tar.gz |
124.6 KiB |
0.2.0 |
latest source/ R- | filtro_0.2.0.tar.gz |
124.6 KiB |
0.2.0 |
2026-04-23 source/ R- | filtro_0.2.0.tar.gz |
124.6 KiB |
0.2.0 |
2026-04-09 windows/windows R-4.5 | filtro_0.2.0.zip |
383.3 KiB |