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: 2026-07-08 05:43:59 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: https://cran.r-universe.dev
Date/Publication: 2026-03-09 11:20:08 UTC
RemoteUrl: https://github.com/cran/ROBOSRMSMOTE
RemoteRef: HEAD
RemoteSha: 6996a2efabaa08dc63c6da9195eb37565e0f7253