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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: | 0.34 |
| Imports: | digest, entropy, randomForest, RWeka |
| Suggests: | mlbench, rpart |
| Published: | 2023-08-22 |
| DOI: | 10.32614/CRAN.package.FSelector |
| Author: | Piotr Romanski, Lars Kotthoff, Patrick Schratz |
| Maintainer: | Lars Kotthoff <larsko at uwyo.edu> |
| BugReports: | https://github.com/larskotthoff/fselector/issues |
| License: | GPL-2 |
| URL: | https://github.com/larskotthoff/fselector |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | FSelector results |
| Reference manual: | FSelector.pdf |
| Package source: | FSelector_0.34.tar.gz |
| Windows binaries: | r-devel: FSelector_0.34.zip, r-release: FSelector_0.34.zip, r-oldrel: FSelector_0.34.zip |
| macOS binaries: | r-release (arm64): FSelector_0.34.tgz, r-oldrel (arm64): FSelector_0.34.tgz, r-release (x86_64): FSelector_0.34.tgz, r-oldrel (x86_64): FSelector_0.34.tgz |
| Old sources: | FSelector archive |
| Reverse imports: | D2MCS, daltoolboxdp, DaMiRseq |
| Reverse suggests: | FSelectorRcpp, mlr, mlrCPO, varrank |
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