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RenyiExtropy  

Entropy and Extropy Measures for Probability Distributions
View on CRAN: Click here


Download and install RenyiExtropy package within the R console
Install from CRAN:
install.packages("RenyiExtropy")

Install from Github:
library("remotes")
install_github("cran/RenyiExtropy")

Install by package version:
library("remotes")
install_version("RenyiExtropy", "0.4.0")



Attach the package and use:
library("RenyiExtropy")
Maintained by
Divakaran Mahesh
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-16
Latest Update: 2026-03-16
Description:
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.
How to cite:
Divakaran Mahesh (2026). RenyiExtropy: Entropy and Extropy Measures for Probability Distributions. R package version 0.4.0, https://cran.r-project.org/web/packages/RenyiExtropy. Accessed 03 Oct. 2026.
Previous versions and publish date:
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Complete documentation for RenyiExtropy
Functions, R codes and Examples using the RenyiExtropy R package
Full RenyiExtropy package functions and examples
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