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poweRlaw  

Analysis of Heavy Tailed Distributions
View on CRAN: Click here


Download and install poweRlaw package within the R console
Install from CRAN:
install.packages("poweRlaw")

Install from Github:
library("remotes")
install_github("cran/poweRlaw")

Install by package version:
library("remotes")
install_version("poweRlaw", "1.0.0")



Attach the package and use:
library("poweRlaw")
Maintained by
Colin Gillespie
[Scholar Profile | Author Map]
First Published: 2013-06-07
Latest Update: 2024-01-25
Description:
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.
How to cite:
Colin Gillespie (2013). poweRlaw: Analysis of Heavy Tailed Distributions. R package version 1.0.0, https://cran.r-project.org/web/packages/poweRlaw. Accessed 01 Apr. 2025.
Previous versions and publish date:
0.20.0 (2013-06-07 11:31), 0.20.1 (2013-06-25 18:31), 0.20.2 (2013-12-19 19:46), 0.20.3 (2014-05-27 20:06), 0.20.5 (2014-06-12 10:09), 0.30.0 (2015-02-20 23:44), 0.30.1 (2015-03-13 10:21), 0.30.2 (2015-04-16 19:53), 0.50.0 (2015-08-11 15:18), 0.60.0 (2016-03-31 21:12), 0.60.3 (2016-04-12 01:26), 0.70.0 (2016-12-22 19:36), 0.70.1 (2017-08-29 19:07), 0.70.2 (2019-01-10 17:10), 0.70.4 (2020-04-07 18:10), 0.70.5 (2020-04-23 18:40), 0.70.6 (2020-04-25 09:30), 0.80.0 (2024-01-25 19:00)
Other packages that cited poweRlaw R package
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Other R packages that poweRlaw depends, imports, suggests or enhances
Complete documentation for poweRlaw
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