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 |
rolling linux/jammy R-4.5 | poweRlaw_1.0.0.tar.gz |
3.3 MiB |
1.0.0 |
rolling linux/noble R-4.5 | poweRlaw_1.0.0.tar.gz |
3.3 MiB |
1.0.0 |
rolling source/ R- | poweRlaw_1.0.0.tar.gz |
4.2 MiB |
1.0.0 |
latest linux/jammy R-4.5 | poweRlaw_1.0.0.tar.gz |
3.3 MiB |
1.0.0 |
latest linux/noble R-4.5 | poweRlaw_1.0.0.tar.gz |
3.3 MiB |
1.0.0 |
latest source/ R- | poweRlaw_1.0.0.tar.gz |
4.2 MiB |
1.0.0 |
2026-04-26 source/ R- | poweRlaw_1.0.0.tar.gz |
4.2 MiB |
1.0.0 |
2026-04-23 source/ R- | poweRlaw_1.0.0.tar.gz |
4.2 MiB |
1.0.0 |
2026-04-09 windows/windows R-4.5 | poweRlaw_1.0.0.zip |
3.3 MiB |
1.0.0 |
2025-04-20 source/ R- | poweRlaw_1.0.0.tar.gz |
4.2 MiB |