poweRlaw-package: The poweRlaw package
In csgillespie/poweRlaw: Analysis of Heavy Tailed Distributions
Description
Details
Author(s)
References
See Also
Description
The poweRlaw package aims to make fitting power laws and other heavy-tailed distributions
straightforward. This package contains R functions for fitting, comparing and visualising heavy
tailed distributions. Overall, it provides a principled approach to fitting power laws to data.
Details
The code developed in this package has
been heavily influenced from the python and R code found at:
http://tuvalu.santafe.edu/~aaronc/powerlaws/ .
In particular, the R code of Laurent Dubroca and Cosma Shalizi.
Author(s)
colin.gillespie@newcastle.ac.uk
References
A. Clauset, C.R. Shalizi, and M.E.J. Newman,
"Power-law distributions in empirical data" SIAM Review 51(4), 661-703 (2009).
See Also
https://github.com/csgillespie/poweRlaw
csgillespie/poweRlaw documentation built on May 23, 2020, 12:16 p.m.
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Description Details Author(s) References See Also
Description
The poweRlaw package aims to make fitting power laws and other heavy-tailed distributions straightforward. This package contains R functions for fitting, comparing and visualising heavy tailed distributions. Overall, it provides a principled approach to fitting power laws to data.
Details
The code developed in this package has been heavily influenced from the python and R code found at: http://tuvalu.santafe.edu/~aaronc/powerlaws/ . In particular, the R code of Laurent Dubroca and Cosma Shalizi.
Author(s)
colin.gillespie@newcastle.ac.uk
References
A. Clauset, C.R. Shalizi, and M.E.J. Newman, "Power-law distributions in empirical data" SIAM Review 51(4), 661-703 (2009).
See Also
https://github.com/csgillespie/poweRlaw
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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