Release of Python package for detection and quantification of statistical causality between time series, using information theoretic models. See https://github.com/ZacKeskin/PyCausality for details

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for ZacKeskin from gravatar.com ZacKeskin

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: GNU GPLv3

Author: Zac Keskin

Maintainer: Zac Keskin

Requires: Python >3.5.2

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 ZacKeskin from gravatar.com ZacKeskin

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: GNU GPLv3

Author: Zac Keskin

Maintainer: Zac Keskin

Requires: Python >3.5.2


Release history Release notifications | RSS feed

1.2.0

1.1.0

This version

1.0.1

1.0.0

0.0.8

0.0.7

0.0.6

0.0.5

0.0.4

0.0.3

Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

PyCausality-1.0.1-py3.6.egg (47.9 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