Metadata-Version: 2.0
Name: perfectns
Version: 2.0.0
Summary: Dynamic and standard nested sampling for spherically symmetric likelihoods and priors.
Home-page: https://github.com/ejhigson/perfectns
Author: Edward Higson
Author-email: ejhigson@gmail.com
License: MIT
Keywords: nested-sampling dynamic-nested-sampling
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Visualization
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Description-Content-Type: text/x-rst
Requires-Dist: matplotlib (>=2.1.0)
Requires-Dist: mpmath
Requires-Dist: nestcheck
Requires-Dist: numpy (>=1.13)
Requires-Dist: pandas
Requires-Dist: scipy (>=1.0.0)

perfectns
=========

.. image:: https://travis-ci.org/ejhigson/perfectns.svg?branch=master
    :target: https://travis-ci.org/ejhigson/perfectns
.. image:: https://coveralls.io/repos/github/ejhigson/perfectns/badge.svg?branch=master
	:target: https://coveralls.io/github/ejhigson/perfectns?branch=master
.. image:: https://img.shields.io/badge/license-MIT-blue.svg
    :target: https://github.com/ejhigson/perfectns/LICENSE


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For more information see the `github repo README <https://github.com/ejhigson/perfectns/blob/master/README.md>`_.
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