csgillespie/poweRlaw: Analysis of Heavy Tailed Distributions
Version 0.70.2

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.

Getting started

Package details

MaintainerColin Gillespie <[email protected]>
LicenseGPL-2 | GPL-3
URL https://github.com/csgillespie/poweRlaw
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
csgillespie/poweRlaw documentation built on April 8, 2018, 5:38 p.m.