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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

VersionRepositoryFileSize
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

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