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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


Project details

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Files for BayesPowerlaw, version 1.1.3
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Filename, size BayesPowerlaw-1.1.3-py2.py3-none-any.whl (215.7 kB) File type Wheel Python version py2.py3 Upload date Hashes View
Filename, size BayesPowerlaw-1.1.3.tar.gz (214.9 kB) File type Source Python version None Upload date Hashes View

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