Approximate false positive rate control in selection frequency for
random forest using the methods described by Ender Konukoglu and Melanie Ganz (2014) <doi:10.48550/arXiv.1410.2838>.
Methods for calculating the selection frequency threshold at false positive rates
and selection frequency false positive rate feature selection.
| Version: |
0.2.2 |
| Imports: |
Rcpp, purrr, tibble, magrittr, dplyr |
| LinkingTo: |
Rcpp |
| Suggests: |
testthat, randomForest, ranger, parsnip, knitr, rmarkdown |
| Published: |
2022-02-09 |
| DOI: |
10.32614/CRAN.package.forestControl |
| Author: |
Tom Wilson  [aut,
cre] (<https://orcid.org/0000-0003-3112-4682>),
Jasen Finch [aut] |
| Maintainer: |
Tom Wilson <tpw2 at aber.ac.uk> |
| BugReports: |
https://github.com/aberHRML/forestControl/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/aberHRML/forestControl |
| NeedsCompilation: |
yes |
| Citation: |
forestControl citation info |
| Materials: |
NEWS |
| CRAN checks: |
forestControl results |