Metadata-Version: 1.1
Name: dynesty
Version: 0.9.7
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: dynesty
        =======
        
        ![dynesty in action](https://github.com/joshspeagle/dynesty/blob/master/docs/images/title.gif)
        
        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
        The most stable release of `dynesty` can be installed
        through [pip](https://pip.pypa.io/en/stable) via
        ```
        pip install dynesty
        ```
        The current (less stable) development version can 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).
        
        ### Attribution
        
        Please cite [Speagle (2019)](https://arxiv.org/abs/1904.02180) if you find the 
        package useful in your research.
        
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
