Entropy and Extropy Measures for Probability Distributions R package RenyiExtropy version 0.4.0 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. Software Depends: R (>= 3.5.0) Suggests: knitr, rmarkdown, testthat (>= 3.0.0) Divakaran Mahesh <itsmdivakaran@gmail.com> Comprehensive R Archive Network (CRAN) Divakaran Mahesh [aut, cre] (ORCID: <https://orcid.org/0000-0002-3488-0857>), G Rajesh [aut] (ORCID: <https://orcid.org/0000-0002-0421-0414>), Sreekumar Jayalekshmi [aut] (ORCID: <https://orcid.org/0009-0000-7477-949X>) MIT + file LICENSE (https://CRAN.R-project.org/package=RenyiExtropy/LICENSE) 2026-03-16 application/tgz https://CRAN.R-project.org/package=RenyiExtropy doi:10.32614/CRAN.package.RenyiExtropy