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praznik: Tools for Information-Based Feature Selection and Scoring

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) <https://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) <https://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: 11.0.0
Depends: R (≥ 2.10)
Suggests: testthat (≥ 3.0.0)
Published: 2022-05-20
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
Citation: praznik citation info
Materials: NEWS
CRAN checks: praznik results

Documentation:

Reference manual: praznik.pdf

Downloads:

Package source: praznik_11.0.0.tar.gz
Windows binaries: r-devel: praznik_11.0.0.zip, r-release: praznik_11.0.0.zip, r-oldrel: praznik_11.0.0.zip
macOS binaries: r-release (arm64): praznik_11.0.0.tgz, r-oldrel (arm64): praznik_11.0.0.tgz, r-release (x86_64): praznik_11.0.0.tgz, r-oldrel (x86_64): praznik_11.0.0.tgz
Old sources: praznik archive

Reverse dependencies:

Reverse imports: KnowSeq, plsVarSel
Reverse suggests: familiar, mlr, mlr3filters, mlrCPO, sense

Linking:

Please use the canonical form https://CRAN.R-project.org/package=praznik to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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