poweRlaw: Analysis of Heavy Tailed Distributions
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.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | methods, parallel,pracma, stats, utils |
| Suggests: | covr,knitr,testthat |
| Published: | 2025-02-03 |
| DOI: | 10.32614/CRAN.package.poweRlaw |
| Author: | Colin Gillespie [aut, cre] |
| Maintainer: | Colin Gillespie <csgillespie at gmail.com> |
| BugReports: | https://github.com/csgillespie/poweRlaw/issues |
| License: | GPL-2 |GPL-3 |
| URL: | https://github.com/csgillespie/poweRlaw,http://csgillespie.github.io/poweRlaw/ |
| NeedsCompilation: | no |
| Language: | en-GB |
| Citation: | poweRlaw citation info |
| Materials: | README,NEWS |
| In views: | Distributions |
| CRAN checks: | poweRlaw results |
Documentation:
Downloads:
| Package source: | poweRlaw_1.0.0.tar.gz |
| Windows binaries: | r-devel:poweRlaw_1.0.0.zip, r-release:poweRlaw_1.0.0.zip, r-oldrel:poweRlaw_1.0.0.zip |
| macOS binaries: | r-release (arm64):poweRlaw_1.0.0.tgz, r-oldrel (arm64):poweRlaw_1.0.0.tgz, r-release (x86_64):poweRlaw_1.0.0.tgz, r-oldrel (x86_64):poweRlaw_1.0.0.tgz |
| Old sources: | poweRlaw archive |
Reverse dependencies:
| Reverse depends: | BioNAR |
| Reverse imports: | CNEr,ForestGapR,miaSim,MultIS,randnet,sads |
| Reverse suggests: | ercv,poppr,spatialwarnings |
Linking:
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