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forestControl  

Approximate False Positive Rate Control in Selection Frequency for Random Forest
View on CRAN: Click here


Download and install forestControl package within the R console
Install from CRAN:
install.packages("forestControl")

Install from Github:
library("remotes")
install_github("cran/forestControl")

Install by package version:
library("remotes")
install_version("forestControl", "0.2.2")



Attach the package and use:
library("forestControl")
Maintained by
Tom Wilson
[Scholar Profile | Author Map]
First Published: 2018-02-19
Latest Update: 2022-02-09
Description:
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.
How to cite:
Tom Wilson (2018). forestControl: Approximate False Positive Rate Control in Selection Frequency for Random Forest. R package version 0.2.2, https://cran.r-project.org/web/packages/forestControl. Accessed 06 Apr. 2025.
Previous versions and publish date:
0.1.1 (2018-02-19 10:20), 0.2.0 (2018-07-20 12:30), 0.2.1 (2019-11-18 11:40)
Other packages that cited forestControl R package
View forestControl citation profile
Other R packages that forestControl depends, imports, suggests or enhances
Complete documentation for forestControl
Functions, R codes and Examples using the forestControl R package
Some associated functions: extract_params . forestControl-package . fpr_fs . selection_freqs . sft . 
Some associated R codes: RcppExports.R . extract_params.R . forestControl.R . fpr_fs.R . internals.R . selection_freqs.R . sft.R .  Full forestControl package functions and examples
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