emcee
=====

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

.. image:: https://secure.travis-ci.org/dfm/emcee.png?branch=master
        :target: http://travis-ci.org/dfm/emcee

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 `dan.iel.fm/emcee <http://dan.iel.fm/emcee/>`_.


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>`_—or `email
us <mailto:danfm@nyu.edu>`_ to get added—if you made use of ``emcee``.


License
-------

emcee is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License version 2 as
published by the Free Software Foundation.

emcee is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
GNU General Public License for more details.

You should have received a copy of the GNU General Public License
along with emcee.  If not, see
`http://www.gnu.org/licenses/ <http://www.gnu.org/licenses/>`_.