forestControl (0.2.0)

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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.

Maintainer: Tom Wilson
Author(s): Tom Wilson [aut, cre], Jasen Finch [aut]

License: MIT + file LICENSE

Uses: dplyr, magrittr, purrr, Rcpp, tibble, randomForest, testthat, ranger

Released over 1 year ago.

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