Learn R Programming

⚠️There's a newer version (0.34) of this package.Take me there.

FSelector: Selecting attributes

This package provides 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.

CRAN page: http://cran.r-project.org/web/packages/FSelector/index.html

Copy Link

Version

Install

install.packages('FSelector')

Monthly Downloads

2,401

Version

0.31

License

GPL-2

Maintainer

Lars Kotthoff

Last Published

May 16th, 2018

Functions in FSelector (0.31)

chi.squared

Chi-squared filter
consistency

Consistency-based filter
correlation

Correlation filter
cfs

CFS filter
relief

RReliefF filter
oneR

OneR algorithm
hill.climbing.search

Hill climbing search
random.forest.importance

RandomForest filter
as.simple.formula

Converting to formulas
best.first.search

Best-first search
greedy.search

Greedy search
cutoff

Cutoffs
exhaustive.search

Exhaustive search
entropy.based

Entropy-based filters
FSelector-package

Package for selecting attributes