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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0 |
2026-04-09 windows/windows R-4.5 | poweRlaw_1.0.0.zip |
3.3 MiB |