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.

Maintainer: Colin Gillespie <csgillespie at gmail.com>

Author(s): Colin Gillespie*

Install package and any missing dependencies by running this line in your R console:

install.packages("poweRlaw")

Depends R (>= 3.0.0)
Imports VGAM, parallel, methods, utils, stats
Suggests knitr, R.matlab, testthat, codetools
Enhances
Linking to
Reverse
depends
AbSim
Reverse
imports
BTR, SNscan
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suggests
poppr
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enhances
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linking to

Package poweRlaw
Materials
URL https://github.com/csgillespie/poweRlaw
Task Views Distributions
Version 0.70.0
Published 2016-12-22
License GPL-2 | GPL-3
BugReports https://github.com/csgillespie/poweRlaw/issues
SystemRequirements
NeedsCompilation no
Citation
CRAN checks poweRlaw check results
Package source poweRlaw_0.70.0.tar.gz