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.
- Version1.0.0
- R versionR (≥ 3.4.0)
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Languageen-GB
- poweRlaw citation info
- Last release02/03/2025
Documentation
Team
Colin Gillespie
MaintainerShow author details
Insights
Last 30 days
This package has been downloaded 8,590 times in the last 30 days. That's a lot of interest! Someone might even write a blog post about it. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 113 times.
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Last 365 days
This package has been downloaded 70,630 times in the last 365 days. This work is reaching a lot of screens. A significant achievement indeed! The day with the most downloads was Mar 10, 2025 with 920 downloads.
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Dependencies
- Imports1 package
- Suggests3 packages
- Reverse Imports5 packages
- Reverse Suggests3 packages