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