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spectralAnomaly  

Detect Anomalies Using the Spectral Residual Algorithm
View on CRAN: Click here


Download and install spectralAnomaly package within the R console
Install from CRAN:
install.packages("spectralAnomaly")

Install from Github:
library("remotes")
install_github("cran/spectralAnomaly")

Install by package version:
library("remotes")
install_version("spectralAnomaly", "0.1.1")



Attach the package and use:
library("spectralAnomaly")
Maintained by
Allen OBrien
[Scholar Profile | Author Map]
First Published: 2024-09-15
Latest Update: 2024-09-15
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>.
How to cite:
Allen OBrien (2024). spectralAnomaly: Detect Anomalies Using the Spectral Residual Algorithm. R package version 0.1.1, https://cran.r-project.org/web/packages/spectralAnomaly. Accessed 01 May. 2025.
Previous versions and publish date:
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Complete documentation for spectralAnomaly
Functions, R codes and Examples using the spectralAnomaly R package
Full spectralAnomaly package functions and examples
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