Package: ARISE
Type: Package
Title: Adaptive Residual-Informed Stability Ensemble Feature Selection
Version: 0.1.0
Authors@R: c(
    person("Zardad", "Khan", email = "zaar@uaeu.ac.ae", role = "aut"),
    person("Amjad", "Ali", email = "amjadali@uaeu.ac.ae", role = c("aut", "cre")),
    person("Naz", "Gul", role = "aut"),
    person("Saeed", "Aldahmani", email = "saldahmani@uaeu.ac.ae", role = "aut")
    )
Author: Zardad Khan [aut], Amjad Ali [aut, cre], Naz Gul [aut], Saeed
        Aldahmani [aut]
Maintainer: Amjad Ali <amjadali@uaeu.ac.ae>
Description: Provides the Adaptive Residual-Informed Stability Ensemble
        ('ARISE') method for supervised feature selection in
        small-sample biomedical omics. The method combines
        complementary relevance components, class-balanced subsample
        stability, residual-informed redundancy control, multiclass
        pair coverage, nested profile racing, and soft consensus. The
        main function returns only the column indices of the top-ranked
        features. Method details are described by Zardad Khan, Amjad
        Ali, Naz Gul, and Saeed Aldahmani (2026)
        <doi:10.48550/arXiv.2608.14866>.
License: GPL-3
Encoding: UTF-8
LazyData: false
Depends: R (>= 4.1.0)
Imports: e1071, matrixStats, randomForest, stats, utils
NeedsCompilation: no
Packaged: 2026-11-07 22:29:51 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-11-07 20:58:50 UTC
RemoteUrl: https://github.com/cran/ARISE
RemoteRef: HEAD
RemoteSha: f1cba1b0247455b79443d7449d6e481dcf514546