BayesPowerlaw 1.1.3
Last updated:
0 purchases
Description:
BayesPowerlaw 1.1.3
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”
License:
For personal and professional use. You cannot resell or redistribute these repositories in their original state.
Customer Reviews
There are no reviews.
