This package is implemented according to POWER-LAW DISTRIBUTIONS IN EMPIRICAL DATA.
This is a maintained fork of the archive PowerLaws.jl. Currently, the functionality replicates the original package, but with some compatibility upgrades, and modernised package structure. This will probably change in the future. Breaking changes are however introduced by renaming structs and functions:
powerlaw_con->ContinuousPowerLawpowerlaw_dis->DiscretePowerLawestimate_xmin->estimate_parameterscompare_distributions->DistributionComparison
This package is not (yet) registered, but can be installed with the following command:
using Pkg
Pkg.add(url="https://www.github.com/TimVWese/PowerLaws.jl")Inpired by python powerlaw package and R poweRlaw package