Metadata-Version: 1.1
Name: BayesPowerlaw
Version: 1.1.3
Summary: Fitting power law distributions using Bayesian Inference
Home-page: https://github.com/AtwalLab/BayesPowerlaw
Author: Kristina Grigaityte, Gurinder Atwal
Author-email: atwal@cshl.edu
License: MIT
Description: BayesPowerlaw fits single or mixtures of power law distributions and estimate their exponent using Bayesian Inference,
        specifically Markov-Chain Monte Carlo Metropolis Hastings algorithm. See the Documentation page for details.
        
        **Installation** :
        pip install BayesPowerlaw
        
        Requirements
        
        - Python >= 3.6.2
        - numpy >= 1.10.1
        - scipy >= 1.0.0
        - matplotlib >= 2.0.0 
        
        - Documentation: "http://BayesPowerlaw.readthedocs.org"
        - Github: "https://github.com/atwallab/BayesPowerlaw"
        - PyPI: "https://pypi.python.org/pypi/BayesPowerlaw"
Keywords: power law,bayesian inference
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Mathematics
