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.
copied from cf-staging / r-powerlaw
conda install conda-forge::r-powerlawconda install conda-forge/label/cf201901::r-powerlawconda install conda-forge/label/cf202003::r-powerlawconda install conda-forge/label/gcc7::r-powerlaw