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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "poweRlaw" in publications use:'
type: software
license:
- GPL-2.0-only
- GPL-3.0-only
title: 'poweRlaw: Analysis of Heavy Tailed Distributions'
version: 0.70.6.9001
identifiers:
- type: doi
  value: 10.32614/CRAN.package.poweRlaw
abstract: 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.
authors:
- family-names: Gillespie
  given-names: Colin
  email: csgillespie@gmail.com
  orcid: https://orcid.org/0000-0003-1787-0275
preferred-citation:
  type: article
  title: 'Fitting Heavy Tailed Distributions: The poweRlaw Package'
  authors:
  - family-names: Gillespie
    given-names: Colin S.
  journal: Journal of Statistical Software
  year: '2015'
  volume: '64'
  issue: '2'
  url: http://www.jstatsoft.org/v64/i02/
  start: '1'
  end: '16'
repository: https://csgillespie.r-universe.dev
repository-code: https://github.com/csgillespie/poweRlaw
commit: 5fffab8e827fea9d385b8394721503770bd82a00
url: https://github.com/csgillespie/poweRlaw
contact:
- family-names: Gillespie
  given-names: Colin
  email: csgillespie@gmail.com
  orcid: https://orcid.org/0000-0003-1787-0275