[aut, cre],
Mikko Venäläinen
[aut, rev],
Riku Klèn [aut,
ths],
Laura Elo [aut,
ths, fnd]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: | 0.2.2 |
| Imports: | doParallel, parallel, foreach, glmnet, pROC, varhandle, utils |
| Suggests: | knitr, rmarkdown, markdown |
| Published: | 2020-10-06 |
| Author: | Mehrad Mahmoudian
[aut, cre],
Mikko Venäläinen
[aut, rev],
Riku Klèn [aut,
ths],
Laura Elo [aut,
ths, fnd] |
| Maintainer: | Mehrad Mahmoudian <mehrad.mahmoudian at utu.fi> |
| BugReports: | https://github.com/mmahmoudian/sivs/issues |
| License: | GPL-3 |
| URL: | https://github.com/mmahmoudian/sivs |
| NeedsCompilation: | no |
| CRAN checks: | sivs results |
| Reference manual: | sivs.pdf |
| Vignettes: |
Seed Independent Variable Selection (SIVS) |
| Package source: | sivs_0.2.2.tar.gz |
| Windows binaries: | r-devel: sivs_0.2.2.zip, r-release: sivs_0.2.2.zip, r-oldrel: sivs_0.2.2.zip |
| macOS binaries: | r-release: sivs_0.2.2.tgz, r-oldrel: sivs_0.2.2.tgz |
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