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.
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curl https://depscope.dev/api/check/conda/r-powerlawFirst published · 2021-05-25 03:49:19.747000+00:00
Last updated · 2025-09-15 10:29:15.778000+00:00