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: 0.31
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
OS X binaries: r-release: FSelector_0.31.tgz, r-oldrel: FSelector_0.31.tgz
Old sources: FSelector archive

Reverse dependencies:

Reverse imports: Biocomb, HybridFS, RtutoR, smartdata
Reverse suggests: FSelectorRcpp, mlr, mlrCPO, utiml, varrank


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