Package: spectralAnomaly
Type: Package
Title: Detect Anomalies Using the Spectral Residual Algorithm
Version: 0.1.1.9000
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
Config/Needs/website: rmarkdown
Repository: https://al-obrien.r-universe.dev
Date/Publication: 2025-06-02 00:10:03 UTC
RemoteUrl: https://github.com/al-obrien/spectralanomaly
RemoteRef: HEAD
RemoteSha: 129cec94c2cdae5852fb819d40fc83e4699785d0
NeedsCompilation: no
Packaged: 2026-09-18 09:51:32 UTC; root
Author: Allen OBrien [aut, cre, cph]
Maintainer: Allen OBrien <allen.g.obrien@gmail.com>