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:	0.4
Depends:	R (≥ 3.0.0), measures, party, stats
Suggests:	testthat, ranger
Published:	2020-05-23
Author:	Philipp Probst [aut, cre], Silke Janitza [ctb]
Maintainer:	Philipp Probst <philipp_probst at gmx.de>
License:	GPL-3
NeedsCompilation:	no
Materials:	README
CRAN checks:	varImp results

Documentation:

Reference manual:

varImp.pdf

Downloads:

Package source:	varImp_0.4.tar.gz
Windows binaries:	r-devel: varImp_0.4.zip, r-release: varImp_0.4.zip, r-oldrel: varImp_0.4.zip
macOS binaries:	r-release (arm64): varImp_0.4.tgz, r-oldrel (arm64): varImp_0.4.tgz, r-release (x86_64): varImp_0.4.tgz, r-oldrel (x86_64): varImp_0.4.tgz
Old sources:	varImp archive

Reverse dependencies:

Reverse imports:	moreparty
Reverse suggests:	party, vip

Linking:

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