CRAN/E | poweRlaw

poweRlaw

Analysis of Heavy Tailed Distributions

Installation

About

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.

Citation poweRlaw citation info
github.com/csgillespie/poweRlaw
Bug report File report

Key Metrics

Version 0.80.0
R ≥ 3.4.0
Published 2024-01-25 99 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks poweRlaw results

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Maintainer

Maintainer

Colin Gillespie

csgillespie@gmail.com

Authors

Colin Gillespie

aut / cre

Material

README
NEWS
Reference manual
Package source

In Views

Distributions

Vignettes

1. An introduction to the poweRlaw package
2. Examples using the poweRlaw package
3. Comparing distributions with the poweRlaw package
4. Journal of Statistical Software Article

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

poweRlaw archive

Depends

R ≥ 3.4.0

Imports

methods
parallel
pracma
stats
utils

Suggests

covr
knitr
testthat

Reverse Depends

BioNAR

Reverse Imports

CNEr
ForestGapR
immuneSIM
miaSim
MultIS
randnet
sads

Reverse Suggests

ercv
poppr
spatialwarnings