The Python ensemble sampling toolkit for affine-invariant MCMC
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.
Read the docs at dan.iel.fm/emcee.
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—or email
us to get added—if you made use of emcee.
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/.