Package: ROBOSRMSMOTE
Type: Package
Title: Robust Oversampling with RM-SMOTE for Imbalanced Classification
Version: 1.0.0
Date: 2026-03-04
Authors@R: c(
    person("Emre", "Dunder", role = "aut"),
    person("Mehmet Ali", "Cengiz", role = "aut"),
    person("Zainab Subhi Mahmood", "Hawrami", 
           email = "zaianbsubhi@gmail.com", role = c("aut", "cre")),
    person("Abdulmohsen", "Alharthi", role = "aut"))
Description: 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>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0.0)
Imports: rrcov (>= 1.7.0), meanShiftR (>= 0.56), stats
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
RoxygenNote: 7.3.3
NeedsCompilation: no
Packaged: 2026-03-04 17:25:24 UTC; root
Author: Emre Dunder [aut],
  Mehmet Ali Cengiz [aut],
  Zainab Subhi Mahmood Hawrami [aut, cre],
  Abdulmohsen Alharthi [aut]
Maintainer: Zainab Subhi Mahmood Hawrami <zaianbsubhi@gmail.com>
Repository: CRAN
Date/Publication: 2026-03-09 11:20:08 UTC
Built: R 4.6.0; ; 2026-04-26 04:42:27 UTC; unix
