Detect Anomalies Using the Spectral Residual Algorithm R package spectralAnomaly version 0.1.1 CRAN Task View: AnomalyDetection (https://CRAN.R-project.org/view=AnomalyDetection) 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>. Software Imports: stats, utils Suggests: testthat (>= 3.0.0) Allen OBrien <allen.g.obrien@gmail.com> Comprehensive R Archive Network (CRAN) Allen OBrien [aut, cre, cph] MIT + file LICENSE (https://CRAN.R-project.org/package=spectralAnomaly/LICENSE) 2024-09-15 application/tgz https://CRAN.R-project.org/package=spectralAnomaly doi:10.32614/CRAN.package.spectralAnomaly