praznik: Tools for Information-Based Feature Selection

A toolbox of fast, native and parallel implementations of various information-based importance criteria estimators and feature selection filters based on them, inspired by the overview by Brown, Pocock, Zhao and Lujan (2012) <http://www.jmlr.org/papers/v13/brown12a.html>. Contains, among other, minimum redundancy maximal relevancy ('mRMR') method by Peng, Long and Ding (2005) <doi:10.1109/TPAMI.2005.159>; joint mutual information ('JMI') method by Yang and Moody (1999) <http://papers.nips.cc/paper/1779-data-visualization-and-feature-selection-new-algorithms-for-nongaussian-data>; double input symmetrical relevance ('DISR') method by Meyer and Bontempi (2006) <doi:10.1007/11732242_9> as well as joint mutual information maximisation ('JMIM') method by Bennasar, Hicks and Setchi (2015) <doi:10.1016/j.eswa.2015.07.007>.

Version: 8.0.0
Depends: R (≥ 2.10)
Suggests: testthat
Published: 2020-02-29
Author: Miron B. Kursa ORCID iD [aut, cre]
Maintainer: Miron B. Kursa <m at mbq.me>
BugReports: https://gitlab.com/mbq/praznik/issues
License: GPL-3
URL: https://gitlab.com/mbq/praznik
NeedsCompilation: yes
Materials: NEWS
CRAN checks: praznik results

Downloads:

Reference manual: praznik.pdf
Package source: praznik_8.0.0.tar.gz
Windows binaries: r-devel: praznik_8.0.0.zip, r-release: praznik_8.0.0.zip, r-oldrel: praznik_8.0.0.zip
macOS binaries: r-release: praznik_8.0.0.tgz, r-oldrel: praznik_8.0.0.tgz
Old sources: praznik archive

Reverse dependencies:

Reverse imports: KnowSeq, plsVarSel
Reverse suggests: mlr, mlr3filters, mlrCPO, mosmafs

Linking:

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