SHAPBoost: The SHAPBoost Feature Selection Algorithm

The implementation of SHAPBoost, a boosting-based feature selection technique that ranks features iteratively based on Shapley values.

Version: 1.0.0
Imports: xgboost, SHAPforxgboost, methods, caret, Matrix
Suggests: flare, survival
Published: 2025-09-29
DOI: 10.32614/CRAN.package.SHAPBoost
Author: Ömer Tarik Özyilmaz ORCID iD [aut, cre, cph], Tamas Szili-Török ORCID iD [aut, cph]
Maintainer: Ömer Tarik Özyilmaz <o.t.ozyilmaz at umcg.nl>
BugReports: https://github.com/O-T-O-Z/SHAPBoost-R/issues
License: MIT + file LICENSE
URL: https://github.com/O-T-O-Z/SHAPBoost-R
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: SHAPBoost results

Documentation:

Reference manual: SHAPBoost.html , SHAPBoost.pdf

Downloads:

Package source: SHAPBoost_1.0.0.tar.gz
Windows binaries: r-devel: SHAPBoost_1.0.0.zip, r-release: SHAPBoost_1.0.0.zip, r-oldrel: SHAPBoost_1.0.0.zip
macOS binaries: r-release (arm64): SHAPBoost_1.0.0.tgz, r-oldrel (arm64): SHAPBoost_1.0.0.tgz, r-release (x86_64): SHAPBoost_1.0.0.tgz, r-oldrel (x86_64): SHAPBoost_1.0.0.tgz

Linking:

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