Functions for selecting attributes from a given dataset. Attribute subset selection is the process of identifying and removing as much of the irrelevant and redundant information as possible.
| Version: | 0.31 |
| Imports: | randomForest, RWeka, digest, entropy |
| Suggests: | mlbench, rpart |
| Published: | 2018-05-16 |
| Author: | Piotr Romanski, Lars Kotthoff |
| Maintainer: | Lars Kotthoff <larsko at uwyo.edu> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | FSelector results |
| Reference manual: | FSelector.pdf |
| Package source: | FSelector_0.31.tar.gz |
| Windows binaries: | r-devel: FSelector_0.31.zip, r-release: FSelector_0.31.zip, r-oldrel: FSelector_0.31.zip |
| macOS binaries: | r-release: FSelector_0.31.tgz, r-oldrel: FSelector_0.31.tgz |
| Old sources: | FSelector archive |
| Reverse imports: | Biocomb, DaMiRseq, RtutoR, smartdata |
| Reverse suggests: | FSelectorRcpp, mlr, mlrCPO, utiml, varrank |
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