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