Approximate False Positive Rate Control in Selection Frequency for Random Forest R package forestControl version 0.2.2 Approximate false positive rate control in selection frequency for random forest using the methods described by Ender Konukoglu and Melanie Ganz (2014) <arXiv:1410.2838>. Methods for calculating the selection frequency threshold at false positive rates and selection frequency false positive rate feature selection. Software Imports: Rcpp, purrr, tibble, magrittr, dplyr LinkingTo: Rcpp Suggests: testthat, randomForest, ranger, parsnip, knitr, rmarkdown Tom Wilson <tpw2@aber.ac.uk> Comprehensive R Archive Network (CRAN) Tom Wilson [aut, cre] (ORCID: <https://orcid.org/0000-0003-3112-4682>), Jasen Finch [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=forestControl/LICENSE) 2022-02-09 application/tgz https://CRAN.R-project.org/package=forestControl doi:10.32614/CRAN.package.forestControl