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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 |
Reference manual: | IPMRF.html , IPMRF.pdf |
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): IPMRF_1.3.tgz, r-release (x86_64): IPMRF_1.3.tgz, r-oldrel (x86_64): IPMRF_1.3.tgz |
Old sources: | IPMRF archive |
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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.
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