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RFlocalfdr  

Significance Level for Random Forest Impurity Importance Scores
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RFlocalfdr", "0.9")



Attach the package and use:
library("RFlocalfdr")
Maintained by
Robert Dunne
[Scholar Profile | Author Map]
First Published: 2023-11-09
Latest Update: 2023-11-09
Description:
Sets a significance level for Random Forest MDI (Mean Decrease in Impurity, Gini or sum of squares) variable importance scores, using an empirical Bayes approach. See Dunne et al. (2022) .
How to cite:
Robert Dunne (2023). RFlocalfdr: Significance Level for Random Forest Impurity Importance Scores. R package version 0.9, https://cran.r-project.org/web/packages/RFlocalfdr. Accessed 11 Apr. 2025.
Previous versions and publish date:
0.8.5 (2023-11-09 08:40)
Other packages that cited RFlocalfdr R package
View RFlocalfdr citation profile
Other R packages that RFlocalfdr depends, imports, suggests or enhances
Complete documentation for RFlocalfdr
Functions, R codes and Examples using the RFlocalfdr R package
Full RFlocalfdr package functions and examples
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