spectralAnomaly-package {spectralAnomaly} | R Documentation |
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) doi:10.48550/arXiv.1906.03821.
Author(s)
Maintainer: Allen OBrien allen.g.obrien@gmail.com [copyright holder]
See Also
Useful links:
Report bugs at https://github.com/al-obrien/spectralAnomaly/issues
[Package spectralAnomaly version 0.1.1 Index]