FiSh
1.1Fisher-Shannon Method
Overview
Proposes non-parametric estimates of the Fisher information measure and the Shannon entropy power. More theoretical and implementation details can be found in Guignard et al. <doi:10.3389/feart.2020.00255>. A 'python' version of this work is available on 'github' and 'PyPi' ('FiShPy').
Install
Health
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- NOTE2026-06-090 OK · 13 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-080 OK · 12 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-100 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Code
Code & tests
Open call graph →Line coverage
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Expression
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Tests / Examples
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Functions
4 2 exported
Complexity
3 avg / 5 max
Call network
4 nodes / 2 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
2 releases. Pick two to compare their code metrics; R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.1Latest2021-05-03 · current release
- RR 4.0.0 released · 2020-04-24
- 1.02019-12-16
Package metadata
- First published
- 2019-12-16
- Total releases
- 2 / 7 yrs
- License
- MIT + file LICENSE OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet