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interpretR  

Binary Classifier and Regression Model Interpretation Functions
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("interpretR", "0.2.5")



Attach the package and use:
library("interpretR")
Maintained by
Michel Ballings
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-11-21
Latest Update: 2023-08-19
Description:
Compute permutation- based performance measures and create partial dependence plots for (cross-validated) 'randomForest' and 'ada' models.
How to cite:
Michel Ballings (2014). interpretR: Binary Classifier and Regression Model Interpretation Functions. R package version 0.2.5, https://cran.r-project.org/web/packages/interpretR. Accessed 07 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:50), 0.1.0 (2014-11-21 07:56), 0.2.0 (2014-12-19 07:37), 0.2.1 (2015-03-26 17:17), 0.2.2 (2015-05-11 00:18), 0.2.3 (2015-06-23 17:26), 0.2.4 (2016-03-19 22:55)
Other packages that cited interpretR R package
View interpretR citation profile
Other R packages that interpretR depends, imports, suggests or enhances
Complete documentation for interpretR
Functions, R codes and Examples using the interpretR R package
Some associated functions: interpretR-package . interpretRNews . parDepPlot . variableImportance . 
Some associated R codes: interpretRNews.R . parDepPlot.R . variableImportance.R . zzz.R .  Full interpretR package functions and examples
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