Adaptive Residual-Informed Stability Ensemble Feature Selection R package ARISE version 0.1.0 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>. Software Depends: R (>= 4.1.0) Imports: e1071, matrixStats, randomForest, stats, utils Amjad Ali <amjadali@uaeu.ac.ae> Comprehensive R Archive Network (CRAN) Zardad Khan [aut], Amjad Ali [aut, cre], Naz Gul [aut], Saeed Aldahmani [aut] GPL-3 2026-11-07 application/tgz https://CRAN.R-project.org/package=ARISE doi:10.32614/CRAN.package.ARISE