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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-post-staging / r-powerlaw
Type Size Name Uploaded Downloads Labels
conda 3.3 MB | noarch/r-powerlaw-1.0.0-r45hc72bb7e_1.conda  12 days and 21 hours ago 71 main
conda 3.3 MB | noarch/r-powerlaw-1.0.0-r44hc72bb7e_1.conda  12 days and 21 hours ago 325 main
conda 3.3 MB | noarch/r-powerlaw-1.0.0-r43hc72bb7e_0.conda  7 months and 24 days ago 7556 main
conda 3.3 MB | noarch/r-powerlaw-1.0.0-r44hc72bb7e_0.conda  7 months and 24 days ago 2202 main

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