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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


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BayesPowerlaw-0.7b0-py2.py3-none-any.whl (461.2 kB) Copy SHA256 hash SHA256 Wheel py2.py3
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