CRAN/E | forestControl

forestControl

Approximate False Positive Rate Control in Selection Frequency for Random Forest

Installation

About

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.

Citation forestControl citation info
github.com/aberHRML/forestControl
Bug report File report

Key Metrics

Version 0.2.2
Published 2022-02-09 808 days ago
Needs compilation? yes
License MIT
License File
CRAN checks forestControl results

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Maintainer

Maintainer

Tom Wilson

tpw2@aber.ac.uk

Authors

Tom Wilson

aut / cre

Jasen Finch

aut

Material

NEWS
Reference manual
Package source

Vignettes

Getting_started

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

forestControl archive

Imports

Rcpp
purrr
tibble
magrittr
dplyr

Suggests

testthat
randomForest
ranger
parsnip
knitr
rmarkdown

LinkingTo

Rcpp