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EFS  

Tool for Ensemble Feature Selection
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EFS", "1.0.3")



Attach the package and use:
library("EFS")
Maintained by
Ursula Neumann
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-02
Latest Update:
Description:
Provides a function to check the importance of a feature based on a dependent classification variable. An ensemble of feature selection methods is used to determine the normalized importance value of all features. Combining these methods in one function (building the cumulative importance values) provides a stable feature selection tool. This selection can also be viewed in a barplot using the barplot_fs() function and proved using the evaluation function efs_eval().
How to cite:
Ursula Neumann (2016). EFS: Tool for Ensemble Feature Selection. R package version 1.0.3, https://cran.r-project.org/web/packages/EFS. Accessed 29 Oct. 2026.
Previous versions and publish date:
1.0.0 (2016-08-02 14:45), 1.0.1 (2016-11-17 18:33), 1.0.3 (2017-07-24 17:45), (2026-07-09 08:02)
Other packages that cited EFS R package
View EFS citation profile
Other R packages that EFS depends, imports, suggests or enhances
Complete documentation for EFS
Functions, R codes and Examples using the EFS R package
Some associated functions: barplot_fs . efs_eval . efsdata . ensemble_fs . 
Some associated R codes: barplot_fs.R . efs_eval.R . efsdata.R . ensemble_fs.R .  Full EFS package functions and examples
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