This repository is unmaintained; do not expect updates. If you're interested in taking ownership, feel free to contact me.
ptemcee /'tɛmsiː/ (noun):
Adaptive parallel tempering <http://arxiv.org/abs/1501.05823> meets |emcee|.
ptemcee, pronounced "tem-cee", is fork of Daniel Foreman-Mackey's |emcee|_ to implement parallel tempering more robustly. As far as possible, it is designed as a drop-in replacement for emcee.
If you're trying to characterise awkward, multi-modal probability distributions, then ptemcee is your friend.
.. image:: http://img.shields.io/travis/willvousden/ptemcee/master.svg?style=flat :target: http://travis-ci.org/willvousden/ptemcee .. image:: https://ci.appveyor.com/api/projects/status/3wrvp0ecggmpv0s1?svg=true :target: https://ci.appveyor.com/project/willvousden/ptemcee .. image:: http://img.shields.io/pypi/v/ptemcee.svg?style=flat :target: https://pypi.python.org/pypi/ptemcee/ .. image:: http://img.shields.io/badge/license-MIT-blue.svg?style=flat :target: https://github.com/willvousden/ptemcee/blob/master/LICENSE .. image:: http://img.shields.io/badge/arXiv-1501.05823-orange.svg?style=flat :target: http://arxiv.org/abs/1501.05823
Please cite Vousden, Farr, and Mandel (2015) <http://arxiv.org/abs/1501.05823> and Foreman-Mackey, Hogg, Lang, and Goodman (2012) <http://arxiv.org/abs/1202.3665> if you find this code useful in your
research.
ptemcee is free software distributed under the MIT License; see the LICENSE <https://github.com/willvousden/ptemcee/blob/master/LICENSE>_ file for details.
.. |emcee| replace:: emcee .. _emcee: https://github.com/dfm/emcee