emcee
=====

**The Python ensemble sampling toolkit for affine-invariant MCMC**

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    :target: https://arxiv.org/abs/1202.3665
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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)
<https://arxiv.org/abs/1202.3665>`_ if you find this code useful in your
research. 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 2010-2021 Dan Foreman-Mackey and contributors.

emcee is free software made available under the MIT License. For details see
the LICENSE file.