spectralAnomaly-package: spectralAnomaly: Detect Anomalies Using the Spectral Residual...

In spectralAnomaly: Detect Anomalies Using the Spectral Residual Algorithm

spectralAnomaly: Detect Anomalies Using the Spectral Residual Algorithm

Description

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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.48550/arXiv.1906.03821")}.

Author(s)

Maintainer: Allen OBrien [e-mail] [copyright holder]

See Also

Useful links:

• https://al-obrien.github.io/spectralAnomaly/

• https://github.com/al-obrien/spectralAnomaly

• Report bugs at https://github.com/al-obrien/spectralAnomaly/issues

spectralAnomaly documentation built on Sept. 16, 2024, 1:06 a.m.