Metadata-Version: 1.1
Name: emcee
Version: 3.0.0
Summary: The Python ensemble sampling toolkit for affine-invariant MCMC
Home-page: http://emcee.readthedocs.io
Author: Daniel Foreman-Mackey
Author-email: foreman.mackey@gmail.com
License: MIT
Description: emcee
        =====
        
        **The Python ensemble sampling toolkit for affine-invariant MCMC**
        
        .. image:: https://img.shields.io/badge/GitHub-dfm%2Femcee-blue.svg?style=flat
            :target: https://github.com/dfm/emcee
        .. image:: http://img.shields.io/travis/dfm/emcee/master.svg?style=flat
            :target: http://travis-ci.org/dfm/emcee
        .. image:: https://ci.appveyor.com/api/projects/status/p8smxvleh8mrcn6m?svg=true&style=flat
            :target: https://ci.appveyor.com/project/dfm/emcee
        .. image:: http://img.shields.io/badge/license-MIT-blue.svg?style=flat
            :target: https://github.com/dfm/emcee/blob/master/LICENSE
        .. image:: http://img.shields.io/badge/arXiv-1202.3665-orange.svg?style=flat
            :target: http://arxiv.org/abs/1202.3665
        .. image:: https://coveralls.io/repos/github/dfm/emcee/badge.svg?branch=master&style=flat&v=2
            :target: https://coveralls.io/github/dfm/emcee?branch=master
        .. image:: https://readthedocs.org/projects/emcee/badge/?version=latest
            :target: http://emcee.readthedocs.io/en/latest/?badge=latest
        
        
        emcee is a stable, well tested Python implementation of the affine-invariant
        ensemble sampler for Markov chain Monte Carlo (MCMC)
        proposed by
        `Goodman & Weare (2010) <http://cims.nyu.edu/~weare/papers/d13.pdf>`_.
        The code is open source and has
        already been used in several published projects in the Astrophysics
        literature.
        
        Documentation
        -------------
        
        Read the docs at `emcee.readthedocs.io <http://emcee.readthedocs.io/>`_.
        
        Attribution
        -----------
        
        Please cite `Foreman-Mackey, Hogg, Lang & Goodman (2012)
        <http://arxiv.org/abs/1202.3665>`_ if you find this code useful in your
        research and add your paper to `the testimonials list
        <https://github.com/dfm/emcee/blob/master/docs/testimonials.rst>`_.
        The BibTeX entry for the paper is::
        
            @article{emcee,
               author = {{Foreman-Mackey}, D. and {Hogg}, D.~W. and {Lang}, D. and {Goodman}, J.},
                title = {emcee: The MCMC Hammer},
              journal = {PASP},
                 year = 2013,
               volume = 125,
                pages = {306-312},
               eprint = {1202.3665},
                  doi = {10.1086/670067}
            }
        
        License
        -------
        
        Copyright 2010-2017 Dan Foreman-Mackey and contributors.
        
        emcee is free software made available under the MIT License. For details see
        the LICENSE file.
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
