Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Colin S. Gillespie
Title: Fitting Heavy Tailed Distributions: The poweRlaw Package
Abstract: Over the last few years, the power law distribution has been used as the data generating mechanism in many disparate fields. However, at times the techniques used to fit the power law distribution have been inappropriate. This paper describes the poweRlaw R package, which makes fitting power laws and other heavy-tailed distributions straightforward. This package contains R functions for fitting, comparing and visualizing heavy tailed distributions. Overall, it provides a principled approach to power law fitting.

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Paper: Fitting Heavy Tailed Distributions: The poweRlaw Package     Download PDF (Downloads: 4163)
Supplements:
poweRlaw_0.30.0.tar.gz: R source package Download (Downloads: 292; 3MB)
v64i02.R: R example code from the paper Download (Downloads: 357; 7KB)
DOI: 10.18637/jss.v064.i02

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.