poweRlaw: Fitting heavy tailed distributions: the poweRlaw package

This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Additionally, a goodness-of-fit based approach is used to estimate the lower cut-off for the scaling region.

Version: 0.20.2
Depends: R (≥ 3.0.0), methods
Imports: VGAM, parallel
Suggests: knitr, R.matlab
Published: 2013-12-19
Author: Colin Gillespie [aut, cre]
Maintainer: Colin Gillespie <csgillespie at gmail.com>
BugReports: https://github.com/csgillespie/poweRlaw/issues
License: GPL-2 | GPL-3
URL: https://github.com/csgillespie/poweRlaw
NeedsCompilation: no
Citation: poweRlaw citation info
Materials: NEWS
CRAN checks: poweRlaw results

Downloads:

Reference manual: poweRlaw.pdf
Vignettes: examples
poweRlaw
Package source: poweRlaw_0.20.2.tar.gz
OS X binary: poweRlaw_0.20.2.tgz
Windows binary: poweRlaw_0.20.2.zip
Old sources: poweRlaw archive