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*******
PECCARY
*******
``peccary`` (Permutation Entropy and statistiCal Complexity Analysis for astRophYsics)
is a Python package for distinguishing between regular, complex, and stochastic
behavior in timeseries. It is based on the work by
`Bandt & Pompe `_ (2002),
`Rosso et al. `_ (2007),
and
`Weck et al. `_ (2015).
This code is also based on work by collaborator David Schaffner, who wrote the initial
version of some of the method, called `PESCy `__.
In addition to calculating the Permutation Entropy (:math:`H`) and Statistical Complexity
(:math:`C`) values, this package also has plotting tools for the :math:`HC`-plane and
visualizing the resulting :math:`[H,C]` values for various timeseries, examples timeseries,
and utility functions.
A detailed summary of the PECCARY method can be found in Hyman, Daniel, & Schaffner (`arXiv:2407.11970 `__).
If you make use of PECCARY, please include a :ref:`citation ` to
Hyman, Daniel, & Schaffner (`arXiv:2407.11970 `__) in any publications.
.. note::
This project is under active development.
Contents
--------
.. toctree::
:maxdepth: 1
About
Installation instructions
Getting started
user-guide.rst
.. _cite:
Citation and Attribution
------------------------
If you make use of this code, please cite the paper:
.. code-block::
@article{peccary,
author = {{Hyman}, S{\'o}ley {\'O}. and {Daniel}, Kathryne J. and {Schaffner}, David A.},
title = "{PECCARY: A novel approach for characterizing orbital complexity, stochasticity, and regularity}",
journal = {arXiv e-prints},
keywords = {Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Astrophysics of Galaxies},
year = 2024,
month = jul,
eid = {arXiv:2407.11970},
pages = {arXiv:2407.11970},
archivePrefix = {arXiv},
eprint = {2407.11970},
primaryClass = {astro-ph.IM},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024arXiv240711970H},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}}
Indices and tables
------------------
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`