Metadata-Version: 1.1
Name: dynesty
Version: 0.9.1
Summary: A dynamic nested sampling package for computing Bayesian posteriors and evidences.
Home-page: https://github.com/joshspeagle/dynesty
Author: Joshua S Speagle
Author-email: jspeagle@cfa.harvard.edu
License: MIT
Description-Content-Type: UNKNOWN
Description: dynesty
        =======
        
        A dynamic nested sampling package for computing Bayesian posteriors and
        evidences. Pure Python. MIT license. **Beta release.**
        
        Documentation
        ~~~~~~~~~~~~~
        
        Documentation can be found `here <https://dynesty.readthedocs.io>`__.
        
        Installation
        ~~~~~~~~~~~~
        
        ``dynesty`` can be installed through
        `pip <https://pip.pypa.io/en/stable>`__ via
        
        ::
        
            pip install dynesty
        
        It can also be installed by running
        
        ::
        
            python setup.py install
        
        from inside the repository.
        
        Demos
        ~~~~~
        
        Several Jupyter notebooks that demonstrate most of the available
        features of the code can be found
        `here <https://github.com/joshspeagle/dynesty/tree/master/demos>`__.
        
Keywords: nested sampling,dynamic,monte carlo,bayesian,inference,modeling
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.6
Classifier: Operating System :: OS Independent
Classifier: Topic :: Scientific/Engineering
Classifier: Intended Audience :: Science/Research
