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varImp  

RF Variable Importance for Arbitrary Measures
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("varImp", "0.4")



Attach the package and use:
library("varImp")
Maintained by
Philipp Probst
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-13
Latest Update: 2020-05-23
Description:
Computes the random forest variable importance (VIMP) for the conditional inference random forest (cforest) of the 'party' package. Includes a function (varImp) that computes the VIMP for arbitrary measures from the 'measures' package. For calculating the VIMP regarding the measures accuracy and AUC two extra functions exist (varImpACC and varImpAUC).
How to cite:
Philipp Probst (2018). varImp: RF Variable Importance for Arbitrary Measures. R package version 0.4, https://cran.r-project.org/web/packages/varImp. Accessed 25 Jun. 2026.
Previous versions and publish date:
0.1 (2018-07-13 19:00), 0.2 (2018-08-06 13:00), 0.3 (2019-05-03 16:20)
Other packages that cited varImp R package
View varImp citation profile
Other R packages that varImp depends, imports, suggests or enhances
Complete documentation for varImp
Functions, R codes and Examples using the varImp R package
Some associated functions: varImp . varImpACC . varImpAUC . varImpRanger . 
Some associated R codes: helpers.R . varImp.R . varImpACC.R . varImpAUC.R . varImpRanger.R .  Full varImp package functions and examples
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