varImp: RF Variable Importance for Arbitrary Measures

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).

Getting started

Package details

AuthorPhilipp Probst [aut, cre], Silke Janitza [ctb]
MaintainerPhilipp Probst <[email protected]>
LicenseGPL-3
Version0.3
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("varImp")

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varImp documentation built on May 6, 2019, 1:11 a.m.