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: 2026-10-24 00:00:00 UTC; Amjad Ali
Repository: CRAN
Date/Publication: 2026-11-07 17:00:38 UTC
