{ "info": { "author": "Will Vousden", "author_email": "will@vousden.me.uk", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Developers", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Programming Language :: Python" ], "description": "ptemcee\n=======\n\n.. image:: http://img.shields.io/travis/willvousden/ptemcee/master.svg?style=flat\n :target: http://travis-ci.org/willvousden/ptemcee\n.. image:: http://img.shields.io/badge/license-MIT-blue.svg?style=flat\n :target: https://github.com/willvousden/ptemcee/blob/master/LICENSE\n.. image:: http://img.shields.io/badge/arXiv-1501.05823-orange.svg?style=flat\n :target: http://arxiv.org/abs/1501.05823\n\nptemcee /'t\u025bmsi\u02d0/ (noun):\n `Adaptive parallel tempering `_ meets |emcee|_.\n\n*ptemcee*, pronounced \"tem-cee\", is fork of Daniel Foreman-Mackey's wonderful |emcee|_ to implement\nparallel tempering more robustly.\n\nIf you're trying to characterise awkward, multi-model probability distributions, then *ptemcee* is\nyour friend.\n\n\nDocumentation\n-------------\n\n... will be here soon.\n\n\nAttribution\n-----------\n\nPlease cite `Vousden, Farr, Mandel (2015) `_ and `Foreman-Mackey,\nHogg, Lang & Goodman (2012) `_ if you find this code useful in your\nresearch.\n\n\nLicense\n-------\n\n*ptemcee* is free software distributed under the MIT License; see the `LICENSE\n`_ file for details.\n\n.. |emcee| replace:: *emcee*\n.. _emcee: https://github.com/dfm/emcee", "description_content_type": null, "docs_url": null, "download_url": "https://github.com/willvousden/ptemcee/tarball/1.0.0", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/willvousden/ptemcee", "keywords": null, "license": "MIT", "maintainer": null, "maintainer_email": null, "name": "ptemcee", "package_url": "https://pypi.org/project/ptemcee/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/ptemcee/", "project_urls": { "Download": "https://github.com/willvousden/ptemcee/tarball/1.0.0", "Homepage": "https://github.com/willvousden/ptemcee" }, "release_url": "https://pypi.org/project/ptemcee/1.0.0/", "requires_dist": null, "requires_python": null, "summary": "Parallel-tempered emcee.", "version": "1.0.0" }, "last_serial": 1697935, "releases": { "1.0.0": [ { "comment_text": "", "digests": { "md5": "8fc9d99f46642b13a03cd60b0224aebf", "sha256": "58e7c1d9a477acd808668b5caa5cb4d61fc5f6cd1df02a391d0d04cd14453739" }, "downloads": -1, "filename": "ptemcee-1.0.0.tar.gz", "has_sig": false, "md5_digest": "8fc9d99f46642b13a03cd60b0224aebf", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 17267, "upload_time": "2015-08-28T12:18:18", "url": "https://files.pythonhosted.org/packages/81/1d/2b3f09f0eb3ce8530e59b03e1aab4bc260cc14ddbc7dad761f9107d944e6/ptemcee-1.0.0.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "8fc9d99f46642b13a03cd60b0224aebf", "sha256": "58e7c1d9a477acd808668b5caa5cb4d61fc5f6cd1df02a391d0d04cd14453739" }, "downloads": -1, "filename": "ptemcee-1.0.0.tar.gz", "has_sig": false, "md5_digest": "8fc9d99f46642b13a03cd60b0224aebf", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 17267, "upload_time": "2015-08-28T12:18:18", "url": "https://files.pythonhosted.org/packages/81/1d/2b3f09f0eb3ce8530e59b03e1aab4bc260cc14ddbc7dad761f9107d944e6/ptemcee-1.0.0.tar.gz" } ] }