shannon
0.2.0Computation of Entropy Measures and Relative Loss
Overview
The functions allow for the numerical evaluation of some commonly used entropy measures, such as Shannon entropy, Rényi entropy, Havrda and Charvat entropy, and Arimoto entropy, at selected parametric values from several well-known and widely used probability distributions. Moreover, the functions also compute the relative loss of these entropies using the truncated distributions. Related works include: Awad, A. M., & Alawneh, A. J. (1987). Application of entropy to a life-time model. IMA Journal of Mathematical Control and Information, 4(2), 143-148. doi:10.1093/imamci/4.2.143.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 100%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
- Cyclomatic complexity
- 3.0 median / 5 max
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
175 175 exported
Complexity
2.9 avg / 5 max
Call network
175 nodes / 68 edges
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.2.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2024-08-26
- Total releases
- 1 / 2 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 4.0
- Download size
- 23 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet