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anomaly: Detection of Anomalous Structure in Time Series Data

Research output: Contribution to Journal/MagazineJournal article

<mark>Journal publication date</mark>19/10/2020
Publication StatusPublished
<mark>Original language</mark>English


One of the contemporary challenges in anomaly detection is the ability to detect, and differentiate between, both point and collective anomalies within a data sequence or time series. The anomaly package has been developed to provide users with a choice of anomaly detection methods and, in particular, provides an implementation of the recently proposed CAPA family of anomaly detection algorithms. This article describes the methods implemented whilst also highlighting their application to simulated data as well as real data examples contained in the package.

Bibliographic note

31 pages, 10 figures. An R package that implements the methods discussed in the paper can be obtained from The Comprehensive R Archive Network (CRAN) via https://cran.r-project.org/web/packages/anomaly/index.html