FSelector: Selecting Attributes

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: 0.33
Imports: digest, entropy, randomForest, RWeka
Suggests: mlbench, rpart
Published: 2021-02-16
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

Downloads:

Reference manual: FSelector.pdf
Package source: FSelector_0.33.tar.gz
Windows binaries: r-devel: FSelector_0.33.zip, r-release: FSelector_0.33.zip, r-oldrel: FSelector_0.33.zip
macOS binaries: r-release: FSelector_0.33.tgz, r-oldrel: FSelector_0.33.tgz
Old sources: FSelector archive

Reverse dependencies:

Reverse imports: Biocomb, D2MCS, DaMiRseq, RtutoR
Reverse suggests: FSelectorRcpp, mlr, mlrCPO, varrank

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