gwastro/gwin

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README.rst

Summary

Maintainability
Test Coverage
A python package for Bayesian Inference of gravitational-wave experimental data.
 
|PyPI| |Versions| |License|
 
|TravisCI| |LatestDocs| |CodeClimate| |Coveralls|
 
Installation
=============
 
You can download the latest gwin release from pypi using pip
 
::
 
pip install gwin
 
If you want to install from source then
`clone the repository <https://github.com/gwastro/gwin/blob/master/CONTRIBUTING.md>`_
and then run the following in your source code directory.
 
::
 
pip install .
 
 
Documentation
=============
 
- https://gwin.readthedocs.io/
 
 
 
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.. |PyPI| image:: https://badge.fury.io/py/gwin.svg
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:target: https://pypi.org/project/gwin/
:alt: Python Versions
.. |License| image:: https://img.shields.io/pypi/l/gwin.svg
:target: https://choosealicense.com/licenses/gpl-3.0/
:alt: License
.. |TravisCI| image:: https://travis-ci.org/gwastro/gwin.svg?branch=master
:target: https://travis-ci.org/gwastro/gwin
:alt: Travis CI Status
.. |LatestDocs| image:: https://readthedocs.org/projects/gwin/badge/?version=latest
:target: http://gwin.readthedocs.io/en/latest/?badge=latest
:alt: Documentation Status
.. |CodeClimate| image:: https://api.codeclimate.com/v1/badges/587c69254181d6564068/maintainability
:target: https://codeclimate.com/github/gwastro/gwin/maintainability
:alt: Maintainability
.. |Coveralls| image:: https://coveralls.io/repos/github/gwastro/gwin/badge.svg?branch=master
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:alt: Coveralls