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 |
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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