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CRAN: Package RenyiExtropy

RenyiExtropy: Entropy and Extropy Measures for Probability Distributions

Provides functions to compute Shannon entropy, Renyi entropy, Tsallis entropy, and related extropy measures for discrete probability distributions. Includes joint and conditional entropy, KL divergence, Jensen-Shannon divergence, cross-entropy, normalized entropy, and Renyi extropy (including the conditional and maximum forms). All measures use the natural logarithm (nats). Useful for information theory, statistics, and machine learning applications.

Version: 0.4.0
Depends: R (≥ 3.5.0)
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-03-16
DOI: 10.32614/CRAN.package.RenyiExtropy (may not be active yet)
Author: Divakaran Mahesh ORCID iD [aut, cre], G Rajesh ORCID iD [aut], Sreekumar Jayalekshmi ORCID iD [aut]
Maintainer: Divakaran Mahesh <itsmdivakaran at gmail.com>
BugReports: https://github.com/itsmdivakaran/RenyiExtropy/issues
License: MIT + file LICENSE
URL: https://github.com/itsmdivakaran/RenyiExtropy
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: RenyiExtropy results

Documentation:

Reference manual: RenyiExtropy.html , RenyiExtropy.pdf
Vignettes: Introduction to RenyiExtropy (source, R code)

Downloads:

Package source: RenyiExtropy_0.4.0.tar.gz
Windows binaries: r-devel: RenyiExtropy_0.4.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): RenyiExtropy_0.4.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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