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: 0.20.5
Depends: R (≥ 3.0.0), methods
Imports: VGAM, parallel
Suggests: knitr, R.matlab, testthat
Published: 2014-06-12
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


Reference manual: poweRlaw.pdf
Vignettes: Comparing distributions
An overview
Package source: poweRlaw_0.20.5.tar.gz
Windows binaries: r-devel: poweRlaw_0.20.5.zip, r-release: poweRlaw_0.20.5.zip, r-oldrel: poweRlaw_0.20.5.zip
OS X Snow Leopard binaries: r-release: poweRlaw_0.20.5.tgz, r-oldrel: poweRlaw_0.20.5.tgz
OS X Mavericks binaries: r-release: poweRlaw_0.20.5.tgz
Old sources: poweRlaw archive