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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>.
Getting started
Browse package contents
Package details |
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| Author | Allen OBrien [aut, cre, cph] |
| Maintainer | Allen OBrien <allen.g.obrien@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.1 |
| URL | https://al-obrien.github.io/spectralAnomaly/ https://github.com/al-obrien/spectralAnomaly |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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