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sivs: Stable Iterative Variable Selection
An iterative feature selection method (manuscript submitted) that
internally utilizes various Machine Learning methods that have embedded
feature reduction in order to shrink down the feature space into a small
and yet robust set.
| Version: |
0.2.10 |
| Imports: |
doParallel, parallel, foreach, glmnet, pROC, varhandle, utils |
| Suggests: |
markdown, knitr |
| Published: |
2023-10-31 |
| DOI: |
10.32614/CRAN.package.sivs |
| Author: |
Mehrad Mahmoudian 
[aut, cre],
Mikko Venäläinen
[aut, rev],
Riku Klèn [aut,
ths],
Laura Elo [aut,
ths, fnd] |
| Maintainer: |
Mehrad Mahmoudian <m.mahmoudian at gmail.com> |
| BugReports: |
https://github.com/mmahmoudian/sivs/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/mmahmoudian/sivs,
https://doi.org/10.1093/bioinformatics/btab501 |
| NeedsCompilation: |
no |
| Citation: |
sivs citation info |
| Materials: |
NEWS |
| CRAN checks: |
sivs results |
Documentation:
Downloads:
Linking:
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https://CRAN.R-project.org/package=sivs
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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.
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