Toolbox for testing if a probability distribution fits a power law
Project description
powerlaw is a toolbox using the statistical methods developed in Clauset et al. 2007 and Klaus et al. 2011 to determine if a probability distribution fits a power law. This package is in “open beta”, which means everything pretty much works but it’s being tweaked and expanded on. Academics, please cite as:
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Note! This code works on Python 2.x, not 3.x. This code was developed and tested with the `Enthought Python Distribution , and will update to 3.x whenever Enthought updates to 3.x. The full version of Enthought is available for free for academic use.
Acknowledgements
Many thanks to Mika Rubinov and Shan Yu for helpful discussions and to Adam Ginsburg for posting his code, which inspired the xmin-selection function of this toolbox.
