Package: spectralAnomaly
Type: Package
Title: Detect Anomalies Using the Spectral Residual Algorithm
Version: 0.1.1
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>.
Authors@R: 
    person("Allen", "OBrien", email = 'allen.g.obrien@gmail.com', role = c("aut", "cre", "cph"))
License: MIT + file LICENSE
Encoding: UTF-8
Imports: stats, utils
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
RoxygenNote: 7.3.2
URL: https://al-obrien.github.io/spectralAnomaly/,
        https://github.com/al-obrien/spectralAnomaly
BugReports: https://github.com/al-obrien/spectralAnomaly/issues
NeedsCompilation: no
Packaged: 2024-09-12 21:32:26 UTC; allen
Author: Allen OBrien [aut, cre, cph]
Maintainer: Allen OBrien <allen.g.obrien@gmail.com>
Repository: CRAN
Date/Publication: 2024-09-15 21:00:02 UTC
Built: R 4.6.0; ; 2026-04-27 03:45:17 UTC; unix
