Metadata-Version: 2.1
Name: dynesty
Version: 0.9.3
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
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
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: matplotlib
Requires-Dist: six

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).


