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.
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.
A. Clauset, C.R. Shalizi, and M.E.J. Newman, "Power-law distributions in empirical data" SIAM Review 51(4), 661-703 (2009).
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