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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
Type Size Name Uploaded Downloads Labels
conda 3.2 MB | noarch/r-powerlaw-0.70.4-r35h6115d3f_0.tar.bz2  4 years and 11 months ago 3037 main
conda 3.1 MB | noarch/r-powerlaw-0.70.4-r36h6115d3f_0.tar.bz2  4 years and 11 months ago 3064 main

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