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) . Methods for calculating the selection frequency threshold at false positive rates and selection frequency false positive rate feature selection.


Reference manual

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install.packages("forestControl")

0.2.2 by Tom Wilson, 5 years ago


https://github.com/aberHRML/forestControl


Report a bug at https://github.com/aberHRML/forestControl/issues


Browse source code at https://github.com/cran/forestControl


Authors: Tom Wilson [aut, cre] , Jasen Finch [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports Rcpp, purrr, tibble, magrittr, dplyr

Suggests testthat, randomForest, ranger, parsnip, knitr, rmarkdown

Linking to Rcpp


See at CRAN