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], 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 Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=forestControl to link to this page.
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