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).

Version: 0.2
Depends: R (≥ 3.0.0), measures, party, stats
Suggests: testthat
Published: 2018-08-06
Author: Philipp Probst [aut, cre], Silke Janitza [ctb]
Maintainer: Philipp Probst <philipp_probst at>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: varImp results


Reference manual: varImp.pdf
Package source: varImp_0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: varImp_0.2.tgz, r-oldrel: varImp_0.2.tgz
Old sources: varImp archive

Reverse dependencies:

Reverse suggests: party


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