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.
https://anaconda.org/r/r-powerlaw/badges/version.svg
https://anaconda.org/r/r-powerlaw/badges/latest_release_date.svg
https://anaconda.org/r/r-powerlaw/badges/latest_release_relative_date.svg
https://anaconda.org/r/r-powerlaw/badges/platforms.svg
https://anaconda.org/r/r-powerlaw/badges/license.svg
https://anaconda.org/r/r-powerlaw/badges/downloads.svg