Fitting power law distributions using Bayesian Inference
Project 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”
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