ARISE: Adaptive Residual-Informed Stability Ensemble Feature Selection

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>.

Version:	0.1.0
Depends:	R (≥ 4.1.0)
Imports:	e1071, matrixStats, randomForest, stats, utils
Published:	2026-11-07
DOI:	10.32614/CRAN.package.ARISE (may not be active yet)
Author:	Zardad Khan [aut], Amjad Ali [aut, cre], Naz Gul [aut], Saeed Aldahmani [aut]
Maintainer:	Amjad Ali <amjadali at uaeu.ac.ae>
License:	GPL-3
NeedsCompilation:	no
Citation:	ARISE citation info
CRAN checks:	ARISE results

Documentation:

Reference manual:

ARISE.html , ARISE.pdf

Downloads:

Package source:	ARISE_0.1.0.tar.gz
Windows binaries:	r-devel: ARISE_0.1.0.zip, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): ARISE_0.1.0.tgz, r-oldrel (arm64): ARISE_0.1.0.tgz, r-release (x86_64): ARISE_0.1.0.tgz, r-oldrel (x86_64): ARISE_0.1.0.tgz

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