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permimp  

Conditional Permutation Importance
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("permimp", "1.1-0")



Attach the package and use:
library("permimp")
Maintained by
Dries Debeer
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-25
Latest Update: 2025-03-28
Description:
An add-on to the 'party' package, with a faster implementation of the partial-conditional permutation importance for random forests. The standard permutation importance is implemented exactly the same as in the 'party' package. The conditional permutation importance can be computed faster, with an option to be backward compatible to the 'party' implementation. The package is compatible with random forests fit using the 'party' and the 'randomForest' package. The methods are described in Strobl et al. (2007) and Debeer and Strobl (2020) .
How to cite:
Dries Debeer (2020). permimp: Conditional Permutation Importance. R package version 1.1-0, https://cran.r-project.org/web/packages/permimp. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0-0 (2020-06-25 15:20), 1.0-1 (2021-02-11 21:30), 1.0-2 (2021-09-13 19:20)
Other packages that cited permimp R package
View permimp citation profile
Other R packages that permimp depends, imports, suggests or enhances
Complete documentation for permimp
Functions, R codes and Examples using the permimp R package
Some associated functions: VarImp-methods . VarImp . permimp-package . permimp . ranks . selFreq . 
Some associated R codes: Utils.R . VarImp.R . doPermimp.R . permimp.R . permimp.cforest.R . permimp.randomForest.R . ranks.R . selFreq.R . utilsMethods.R . utilsParty.R .  Full permimp package functions and examples
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