Package: FSelector 0.34

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.

Authors:Piotr Romanski, Lars Kotthoff, Patrick Schratz

FSelector_0.34.tar.gz
FSelector_0.34.zip(r-4.5)FSelector_0.34.zip(r-4.4)FSelector_0.34.zip(r-4.3)
FSelector_0.34.tgz(r-4.4-any)FSelector_0.34.tgz(r-4.3-any)
FSelector_0.34.tar.gz(r-4.5-noble)FSelector_0.34.tar.gz(r-4.4-noble)
FSelector_0.34.tgz(r-4.4-emscripten)FSelector_0.34.tgz(r-4.3-emscripten)
FSelector.pdf |FSelector.html
FSelector/json (API)

# Install 'FSelector' in R:
install.packages('FSelector', repos = c('https://larskotthoff.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/larskotthoff/fselector/issues

Uses libs:
  • openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

8.23 score 12 stars 4 packages 451 scripts 2.6k downloads 23 mentions 20 exports 6 dependencies

Last updated 1 years agofrom:26c313ca5e. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 15 2024
R-4.5-winNOTEOct 15 2024
R-4.5-linuxNOTEOct 15 2024
R-4.4-winNOTEOct 15 2024
R-4.4-macNOTEOct 15 2024
R-4.3-winOKOct 15 2024
R-4.3-macOKOct 15 2024

Exports:as.simple.formulabackward.searchbest.first.searchcfschi.squaredconsistencycutoff.biggest.diffcutoff.kcutoff.k.percentexhaustive.searchforward.searchgain.ratiohill.climbing.searchinformation.gainlinear.correlationoneRrandom.forest.importancerank.correlationreliefsymmetrical.uncertainty

Dependencies:digestentropyrandomForestrJavaRWekaRWekajars

Readme and manuals

Help Manual

Help pageTopics
Package for selecting attributesFSelector-package FSelector
Converting to formulasas.simple.formula
Best-first searchbest.first.search
CFS filtercfs
Chi-squared filterchi.squared
Consistency-based filterconsistency
Correlation filterlinear.correlation rank.correlation
Cutoffscutoff.biggest.diff cutoff.k cutoff.k.percent
Entropy-based filtersgain.ratio information.gain symmetrical.uncertainty
Exhaustive searchexhaustive.search
Greedy searchbackward.search forward.search
Hill climbing searchhill.climbing.search
OneR algorithmoneR
RandomForest filterrandom.forest.importance
RReliefF filterrelief