Metadata-Version: 2.1
Name: pyabc
Version: 0.10.2
Summary: Distributed, likelihood-free ABC-SMC inference
Home-page: https://github.com/icb-dcm/pyabc
Author: Emmanuel Klinger, Yannik Schälte, Elba Raimundez
Author-email: yannik.schaelte@gmail.com
License: BSD-3-Clause
Description: # pyABC
        
        <img src="https://raw.githubusercontent.com/ICB-DCM/pyABC/master/doc/logo/logo.png" alt="pyABC logo" width="30%"/>
        
        [![CI](https://github.com/ICB-DCM/pyABC/workflows/CI/badge.svg)](https://github.com/ICB-DCM/pyABC/actions)
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        [![codecov](https://codecov.io/gh/ICB-DCM/pyABC/branch/master/graph/badge.svg)](https://codecov.io/gh/ICB-DCM/pyABC)
        [![pyPI version](https://badge.fury.io/py/pyabc.svg)](https://badge.fury.io/py/pyabc)
        [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3364560.svg)](https://doi.org/10.5281/zenodo.3364560)
        
        Massively parallel, distributed and scalable ABC-SMC
        (Approximate Bayesian Computation - Sequential Monte Carlo)
        for parameter estimation of complex stochastic models.
        Implemented in Python with support of the R language.
        
        - **Documentation:** [https://pyabc.readthedocs.io](https://pyabc.readthedocs.io)
        - **Contact:** [https://pyabc.readthedocs.io/en/latest/about.html](https://pyabc.readthedocs.io/en/latest/about.html)
        - **Source:** [https://github.com/icb-dcm/pyabc](https://github.com/icb-dcm/pyabc)
        - **Bug reports:** [https://github.com/icb-dcm/pyabc/issues](https://github.com/icb-dcm/pyabc/issues)
        
        ## Examples
        
        Many examples are available as Jupyter Notebooks in the
        [examples directory](https://github.com/icb-dcm/pyabc/tree/master/doc/examples)
        and also for download and for online inspection in the
        [example section of the documentation](http://pyabc.readthedocs.io/en/latest/examples.html).
        
Keywords: likelihood-free inference,abc,approximate bayesian computation,sge,distributed
Platform: all
Classifier: Programming Language :: Python :: 3.6
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: R
Provides-Extra: amici-petab
