An add-on to the 'party' package, with a faster implementation of the partial-conditional permutation importance for random forests. The standard permutation importance is implemented exactly the same as in the 'party' package. The conditional permutation importance can be computed faster, with an option to be backward compatible to the 'party' implementation. The package is compatible with random forests fit using the 'party' and the 'randomForest' package. The methods are described in Strobl et al. (2007) <doi:10.1186/1471-2105-8-25> and Debeer and Strobl (2020) <doi:10.1186/s12859-020-03622-2>.
Version: 1.1-0 Depends: R (≥ 3.6.0) Imports: graphics, grDevices, ipred (≥ 0.9-6), methods, party (≥ 1.3-3), pbapply, randomForest (≥ 4.6-14), stats, survival (≥ 2.44-1.1), utils Suggests: knitr, rmarkdown, scales (≥ 0.5.0), testthat Published: 2025-03-28 DOI: 10.32614/CRAN.package.permimp Author: Dries Debeer [aut, cre], Torsten Hothorn [aut], Carolin Strobl [aut] Maintainer: Dries Debeer <debeer.dries at gmail.com> License: GPL-2 | GPL-3 URL: https://ddebeer.github.io/permimp/ NeedsCompilation: no Materials: NEWS CRAN checks: permimp results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=permimp to link to this page.
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