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.">

forestControl: Approximate False Positive Rate Control in Selection Frequency for Random Forest (original) (raw)

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
BugReports: https://github.com/aberHRML/forestControl/issues
License: MIT + file
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 formhttps://CRAN.R-project.org/package=forestControlto link to this page.