forestControl: Approximate False Positive Rate Control in Selection Frequency for Random Forest

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 ORCID iD [aut, cre], Jasen Finch [aut]
Maintainer: Tom Wilson <tpw2 at>
License: MIT + file LICENSE
NeedsCompilation: yes
Citation: forestControl citation info
Materials: NEWS
CRAN checks: forestControl results


Reference manual: forestControl.pdf
Vignettes: Getting_started


Package source: forestControl_0.2.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): forestControl_0.2.2.tgz, r-oldrel (arm64): forestControl_0.2.2.tgz, r-release (x86_64): forestControl_0.2.2.tgz, r-oldrel (x86_64): forestControl_0.2.2.tgz
Old sources: forestControl archive


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