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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "spectralAnomaly" in publications use:'
type: software
license: MIT
title: 'spectralAnomaly: Detect Anomalies Using the ''Spectral Residual'' Algorithm'
version: 0.1.1
doi: 10.32614/CRAN.package.spectralAnomaly
abstract: 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) <https://doi.org/10.48550/arXiv.1906.03821>.
authors:
- family-names: OBrien
  given-names: Allen
  email: allen.g.obrien@gmail.com
repository: https://al-obrien.r-universe.dev
repository-code: https://github.com/al-obrien/spectralAnomaly
commit: 16b031a12210d7098b1c7be54152824168917562
url: https://al-obrien.github.io/spectralAnomaly/
contact:
- family-names: OBrien
  given-names: Allen
  email: allen.g.obrien@gmail.com