spectralAnomaly
Detect Anomalies Using the Spectral Residual Algorithm
Apply the spectral residual algorithm to data, such as a time series, to detect anomalies. Anomaly scores can be used to determine outliers based upon a threshold or fed into more sophisticated prediction models. Methods are based upon "Time-Series Anomaly Detection Service at Microsoft", Ren, H., Xu, B., Wang, Y., et al., (2019) <doi:10.48550/arXiv.1906.03821>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | spectralAnomaly_0.1.1.tar.gz |
82.2 KiB |
0.1.1 |
rolling linux/noble R-4.5 | spectralAnomaly_0.1.1.tar.gz |
82.1 KiB |
0.1.1 |
rolling source/ R- | spectralAnomaly_0.1.1.tar.gz |
71.5 KiB |
0.1.1 |
latest linux/jammy R-4.5 | spectralAnomaly_0.1.1.tar.gz |
82.2 KiB |
0.1.1 |
latest linux/noble R-4.5 | spectralAnomaly_0.1.1.tar.gz |
82.1 KiB |
0.1.1 |
latest source/ R- | spectralAnomaly_0.1.1.tar.gz |
71.5 KiB |
0.1.1 |
2026-04-26 source/ R- | spectralAnomaly_0.1.1.tar.gz |
71.5 KiB |
0.1.1 |
2026-04-23 source/ R- | spectralAnomaly_0.1.1.tar.gz |
71.5 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | spectralAnomaly_0.1.1.zip |
86.1 KiB |
0.1.1 |
2025-04-20 source/ R- | spectralAnomaly_0.1.1.tar.gz |
71.5 KiB |