Fisher-Shannon method. Proposes non-parametric estimates of the Fisher Information Measure and the Shannon Entropy Power. The package contains also some bandwidth selectors for kernel density estimate

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for fabian.guignard from gravatar.com fabian.guignard Avatar for mlaib from gravatar.com mlaib

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT License (MIT)

Author: Fabian Guignard and Mohamed Laib

Tags Fisher Shannon plane, Fisher information measure, Fisher-Shannon complexity, Statistical complexity

Classifiers

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for fabian.guignard from gravatar.com fabian.guignard Avatar for mlaib from gravatar.com mlaib

Unverified details

These details have not been verified by PyPI
Project links
GitHub Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT License (MIT)

Author: Fabian Guignard and Mohamed Laib

Tags Fisher Shannon plane, Fisher information measure, Fisher-Shannon complexity, Statistical complexity

Classifiers

Release history Release notifications | RSS feed

This version

1.3

1.2

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

FiShPy-1.3.tar.gz (4.1 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page