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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.4.0 |
rolling linux/jammy R-4.5 | RenyiExtropy_0.4.0.tar.gz |
173.5 KiB |
0.4.0 |
rolling linux/noble R-4.5 | RenyiExtropy_0.4.0.tar.gz |
173.5 KiB |
0.4.0 |
rolling source/ R- | RenyiExtropy_0.4.0.tar.gz |
126.0 KiB |
0.4.0 |
latest linux/jammy R-4.5 | RenyiExtropy_0.4.0.tar.gz |
173.5 KiB |
0.4.0 |
latest linux/noble R-4.5 | RenyiExtropy_0.4.0.tar.gz |
173.5 KiB |
0.4.0 |
latest source/ R- | RenyiExtropy_0.4.0.tar.gz |
126.0 KiB |
0.4.0 |
2026-04-26 source/ R- | RenyiExtropy_0.4.0.tar.gz |
126.0 KiB |
0.4.0 |
2026-04-23 source/ R- | RenyiExtropy_0.4.0.tar.gz |
126.0 KiB |
0.4.0 |
2026-04-09 windows/windows R-4.5 | RenyiExtropy_0.4.0.zip |
178.4 KiB |