Metadata-Version: 2.4
Name: pyabc
Version: 0.12.16
Summary: Distributed, likelihood-free ABC-SMC inference
Home-page: https://github.com/icb-dcm/pyabc
Download-URL: https://github.com/icb-dcm/pyabc/releases
Author: The pyABC developers
Author-email: yannik.schaelte@gmail.com
Maintainer: Yannik Schaelte
Maintainer-email: yannik.schaelte@gmail.com
License: BSD-3-Clause
Project-URL: Bug Tracker, https://github.com/icb-dcm/pyabc/issues
Project-URL: Documentation, https://pyabc.readthedocs.io
Project-URL: Changelog, https://github.com/ICB-DCM/pyABC/blob/main/CHANGELOG.rst
Keywords: likelihood-free,inference,abc,approximate bayesian computation,sge,distributed
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
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pyABC
=====

.. figure:: https://raw.githubusercontent.com/ICB-DCM/pyABC/main/doc/logo/logo.svg
   :alt: pyABC logo
   :width: 30 %
   :align: center

|CI| |docs| |codecov| |pypi| |doi| |black|

Massively parallel, distributed and scalable ABC-SMC
(Approximate Bayesian Computation - Sequential Monte Carlo)
for parameter estimation of complex stochastic models.
Provides numerous state-of-the-art algorithms for
efficient, accurate, robust likelihood-free inference,
described in the documentation and illustrated in example
notebooks.
Written in Python with support for especially R and Julia.

- **Documentation:** https://pyabc.rtfd.io
- **Examples:** http://pyabc.rtfd.io/en/latest/examples.html
- **Contact:** https://pyabc.rtfd.io/en/latest/about.html
- **Bug reports:** https://github.com/icb-dcm/pyabc/issues
- **Source code:** https://github.com/icb-dcm/pyabc
- **Cite:** https://pyabc.rtfd.io/en/latest/cite.html

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   :target: https://github.com/ICB-DCM/pyABC/actions
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   :target: http://pyabc.readthedocs.io/en/latest/
   :alt: Docs

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   :target: https://codecov.io/gh/ICB-DCM/pyABC
   :alt: Codecov

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   :target: https://badge.fury.io/py/pyabc
   :alt: PyPI

.. |doi| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3257587.svg
   :target: https://doi.org/10.5281/zenodo.3257587
   :alt: DOI

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   :alt: Code style: Black
