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CRAN: Package Boruta

Boruta: Wrapper Algorithm for All Relevant Feature Selection

An all relevant feature selection wrapper algorithm. It finds relevant features by comparing original attributes' importance with importance achievable at random, estimated using their permuted copies (shadows).

Version: 9.0.0 Imports: ranger Suggests: mlbench, rFerns, randomForest, testthat, xgboost, survival Published: 2025-07-22 DOI: 10.32614/CRAN.package.Boruta Author: Miron Bartosz Kursa [aut, cre], Witold Remigiusz Rudnicki [aut] Maintainer: Miron Bartosz Kursa <M.Kursa at icm.edu.pl> BugReports: https://gitlab.com/mbq/Boruta/-/issues License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://gitlab.com/mbq/Boruta/ NeedsCompilation: no Citation: Boruta citation info Materials: NEWS In views: MachineLearning CRAN checks: Boruta results Documentation: Reference manual: Boruta.html , Boruta.pdf Vignettes: Boruta for those in a hurry (source, R code)
Importance transdapters (source, R code)
Downloads: Package source: Boruta_9.0.0.tar.gz Windows binaries: r-devel: Boruta_9.0.0.zip, r-release: Boruta_9.0.0.zip, r-oldrel: Boruta_9.0.0.zip macOS binaries: r-release (arm64): Boruta_9.0.0.tgz, r-oldrel (arm64): Boruta_9.0.0.tgz, r-release (x86_64): Boruta_9.0.0.tgz, r-oldrel (x86_64): Boruta_9.0.0.tgz Old sources: Boruta archive Reverse dependencies: Reverse imports: CompositionalML, HDStIM, MSclassifR, multiclassPairs, SISIR Reverse suggests: finnts, fuseMLR, mlr3filters, nestedcv Linking:

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