rrobot
Robust Outlier Detection for Diverse Distributions
Provides robust outlier detection techniques for identifying anomalies in multivariate data, with a focus on methods that remain effective under non-Gaussian distributions. For more details see Saluja, Parlak, and Mejia (2026+) <doi:10.48550/arXiv.2505.11806>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | rrobot_0.1.3.tar.gz |
463.4 KiB |
0.1.3 |
rolling linux/noble R-4.5 | rrobot_0.1.3.tar.gz |
463.4 KiB |
0.1.3 |
rolling source/ R- | rrobot_0.1.3.tar.gz |
342.9 KiB |
0.1.3 |
latest linux/jammy R-4.5 | rrobot_0.1.3.tar.gz |
463.4 KiB |
0.1.3 |
latest linux/noble R-4.5 | rrobot_0.1.3.tar.gz |
463.4 KiB |
0.1.3 |
latest source/ R- | rrobot_0.1.3.tar.gz |
342.9 KiB |
0.1.3 |
2026-04-26 source/ R- | rrobot_0.1.3.tar.gz |
342.9 KiB |
0.1.3 |
2026-04-23 source/ R- | rrobot_0.1.3.tar.gz |
342.9 KiB |
0.1.3 |
2026-04-09 windows/windows R-4.5 | rrobot_0.1.3.zip |
468.6 KiB |