Provides the ROBOSRMSMOTE (Robust Oversampling with RM-SMOTE) framework for imbalanced classification tasks. This package extends Mahalanobis distance-based oversampling techniques by integrating robust covariance estimators to better handle outliers and complex data distributions. The implemented methodology builds upon and significantly expands the RM-SMOTE algorithm originally proposed by Taban et al. (2025) <doi:10.1007/s10260-025-00819-8>.
| Version: | 1.0.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | rrcov (≥ 1.7.0), meanShiftR (≥ 0.56), stats |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-03-09 |
| DOI: | 10.32614/CRAN.package.ROBOSRMSMOTE (may not be active yet) |
| Author: | Emre Dunder [aut], Mehmet Ali Cengiz [aut], Zainab Subhi Mahmood Hawrami [aut, cre], Abdulmohsen Alharthi [aut] |
| Maintainer: | Zainab Subhi Mahmood Hawrami <zaianbsubhi at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | ROBOSRMSMOTE results |
| Reference manual: | ROBOSRMSMOTE.html , ROBOSRMSMOTE.pdf |
| Package source: | ROBOSRMSMOTE_1.0.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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