./math/R-poweRlaw, Analysis of heavy tailed distributions

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Branch: CURRENT, Version: 0.70.1, Package name: R-poweRlaw-0.70.1, Maintainer: minskim

The poweRlaw package is 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.


Required to run:
[math/R] [math/R-VGAM]

Required to build:
[pkgtools/cwrappers]

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   2018-03-03 02:23:29 by Min Sik Kim | Files touched by this commit (3)
Log message:
math/R-poweRlaw: Import version 0.70.1

The poweRlaw package is 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.