csgillespie/poweRlaw: Analysis of Heavy Tailed Distributions

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 <csgillespie@gmail.com>
LicenseGPL-2 | GPL-3
Version0.70.6.9001
URL https://github.com/csgillespie/poweRlaw
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("csgillespie/poweRlaw")
csgillespie/poweRlaw documentation built on May 23, 2020, 12:16 p.m.