Metadata-Version: 2.1
Name: bttv
Version: 0.1.0
Summary: Tools for a implementing time-varying Bradley-Terry rankings
Home-page: https://github.com/shamindras/bttv
Author: Heejong Bong <blueconet@gmail.com>, Wanshan Li <wanshanl@andrew.cmu.edu>, Shamindra Shrotriya <shamindra.shrotriya@gmail.com>
Author-email: shamindra.shrotriya@gmail.com
License: MIT
Keywords: bttv
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Requires-Python: >=3.6
License-File: LICENSE
License-File: AUTHORS.rst

=======================================
Bradley-Terry Time-varying model (BTTV)
=======================================

.. image:: https://badge.fury.io/py/bttv.png
    :target: http://badge.fury.io/py/bttv

.. image:: https://travis-ci.org/shamindras/bttv.png?branch=master
    :target: https://travis-ci.org/shamindras/bttv

bttv


Features
========

* Contains required utilities used to implement
  the Bradley-Terry time-varying methodology
  described in [#BLSR]_.


References
===========

.. [#BLSR] Heejong Bong, Wanshan Li, Shamindra Shrotriya, and Alessandro Rinaldo. "Nonparametric Estimation in the Dynamic Bradley-Terry Model." The 23rd International Conference on Artificial Intelligence and Statistics. 2020.






Documentation
-------------

The full documentation is at http://bttv.rtfd.org.



History
-------

0.1.0 (2019-08-15)
++++++++++++++++++

* First release on PyPI.


