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pRF  

Permutation Significance for Random Forests
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pRF", "1.2")



Attach the package and use:
library("pRF")
Maintained by
Ankur Chakravarthy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-03-03
Latest Update: 2016-01-11
Description:
Estimate False Discovery Rates (FDRs) for importance metrics from random forest runs.
How to cite:
Ankur Chakravarthy (2015). pRF: Permutation Significance for Random Forests. R package version 1.2, https://cran.r-project.org/web/packages/pRF. Accessed 05 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:38), 1.0 (2015-03-03 07:41), 1.1 (2015-11-05 08:31)
Other packages that cited pRF R package
View pRF citation profile
Other R packages that pRF depends, imports, suggests or enhances
Complete documentation for pRF
Functions, R codes and Examples using the pRF R package
Some associated functions: pRF-package . pRF . sigplot . 
Some associated R codes: AC_pRF.R .  Full pRF package functions and examples
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