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poweRlaw: Analysis of Heavy Tailed Distributions
An implementation of maximum likelihood estimators
for a variety of heavy tailed distributions, including both the
discrete and continuous power law distributions. Additionally, a
goodness-of-fit based approach is used to estimate the lower cut-off
for the scaling region.
Documentation:
Downloads:
Reverse dependencies:
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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