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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 |
Please use the canonical form https://CRAN.R-project.org/package=FSelector to link to this page.
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.