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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 |
| 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 |
| Reference manual: | ARISE.html , ARISE.pdf |
| Package source: | ARISE_0.1.0.tar.gz |
| Windows binaries: | r-devel: ARISE_0.1.0.zip, r-release: ARISE_0.1.0.zip, 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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These binaries (installable software) and packages are in development.
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