Metadata-Version: 2.1
Name: sampen
Version: 0.0.20
Summary: A Python module to calculate an estimation of the Sample Entropy of a time series.
Home-page: https://readthedocs.org/projects/sampen/
Author: Kinsa Creative Incorporated
Author-email: enquiries@kinsa.cc
Maintainer: Kinsa Creative Incorporated
Maintainer-email: enquiries@kinsa.cc
License: GNU
Download-URL: https://github.com/Kinsa/sampen/tarball/0.0.20/
Keywords: sample entropy,sampen
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
License-File: LICENSE.txt

Sampen
--------------------


.. image:: https://img.shields.io/pypi/v/sampen.svg
   :target: https://pypi.org/project/sampen/
.. image:: https://img.shields.io/pypi/pyversions/sampen.svg
  :target: https://pypi.org/project/sampen/

Partial port of v1.2 C-language code for estimating Sample Entropy using SampEn from PhysioNet to Python.

C-language code last updated 1 November 2004, by George Moody.

Original author Doug Lake. dlake@virginia.edu

Functions ported:

- ``normalize_data()``

- ``sampen2()``

Not ported:

- ``readdata()``

- ``sampen()``

For more information and the repository please checkout:

- original C-language code and docs: http://www.physionet.org/physiotools/sampen/

- home and docs: http://sampen.readthedocs.io/en/stable/

- repository: https://github.com/Kinsa/sampen/


