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The Python ensemble sampling toolkit for affine-invariant MCMC

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emcee

The Python ensemble sampling toolkit for affine-invariant MCMC

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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). 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.

Attribution

Please cite Foreman-Mackey, Hogg, Lang & Goodman (2012) if you find this code useful in your research and add your paper to the testimonials list.

License

Copyright 2010-2013 Dan Foreman-Mackey and contributors.

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

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The Python ensemble sampling toolkit for affine-invariant MCMC

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