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IPMRF: Intervention in Prediction Measure for Random Forests

Computes intervention in prediction measure for assessing variable importance for random forests. See details at I. Epifanio (2017) <doi:10.1186/s12859-017-1650-8>.

Version: 1.3
Imports: party, randomForest, gbm
Suggests: mlbench
Published: 2025-09-29
DOI: 10.32614/CRAN.package.IPMRF
Author: Irene Epifanio [aut, cre], Stefano Nembrini [aut], Aleix Alcacer [aut], Vicente Bolos [aut]
Maintainer: Irene Epifanio <epifanio at uji.es>
License: GPL-3
NeedsCompilation: no
Citation: IPMRF citation info
Materials: NEWS
CRAN checks: IPMRF results

Documentation:

Reference manual: IPMRF.html , IPMRF.pdf

Downloads:

Package source: IPMRF_1.3.tar.gz
Windows binaries: r-devel: IPMRF_1.3.zip, r-release: IPMRF_1.3.zip, r-oldrel: IPMRF_1.3.zip
macOS binaries: r-release (arm64): IPMRF_1.3.tgz, r-oldrel (arm64): not available, r-release (x86_64): IPMRF_1.3.tgz, r-oldrel (x86_64): IPMRF_1.3.tgz
Old sources: IPMRF archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=IPMRF to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.