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Implements stability selection with Lasso after variable decorrelation for identifying relevant variables in high-dimensional data. The method applies Air-HOLP screening and Gram-Schmidt orthogonalization before Lasso-based stability selection.
| Version: | 0.0.1 |
| Imports: | glmnet, cmna |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-07-30 |
| DOI: | 10.32614/CRAN.package.DVS |
| Author: | Mahdi Nouraie [aut, cre], Connor Smith [aut], Samuel Muller [aut] |
| Maintainer: | Mahdi Nouraie <mahdinouraie20 at gmail.com> |
| BugReports: | https://github.com/MahdiNouraie/DVS/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/MahdiNouraie/DVS, https://doi.org/10.1007/s11222-026-10916-7 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | DVS results |
| Reference manual: | DVS.html , DVS.pdf |
| Package source: | DVS_0.0.1.tar.gz |
| Windows binaries: | r-devel: DVS_0.0.1.zip, r-release: DVS_0.0.1.zip, r-oldrel: DVS_0.0.1.zip |
| macOS binaries: | r-release (arm64): DVS_0.0.1.tgz, r-oldrel (arm64): DVS_0.0.1.tgz, r-release (x86_64): DVS_0.0.1.tgz, r-oldrel (x86_64): DVS_0.0.1.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.