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anomaly: An R package for detecting anomalies in data.

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anomaly: An R package for detecting anomalies in data. Fisch, Alex (Author); Grose, Daniel (Developer); Eckley, Idris (Author) et al.. 2018.

Research output: Exhibits, objects and web-based outputsSoftware

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@misc{041d1e8f92df478f815f0212e6ab0c4c,
title = "anomaly: An R package for detecting anomalies in data.",
abstract = "Implements Collective And Point Anomaly (CAPA) , Multi-Variate Collective And Point Anomaly (MVCAPA) , Proportion Adaptive Segment Selection (PASS) , and Bayesian Abnormal Region Detector (BARD) methods for the detection of anomalies in time series data. ",
author = "Alex Fisch and Daniel Grose and Idris Eckley and Paul Fearnhead",
year = "2018",
month = sep,
day = "21",
language = "English",

}

RIS

TY - ADVS

T1 - anomaly: An R package for detecting anomalies in data.

AU - Fisch, Alex

AU - Eckley, Idris

AU - Fearnhead, Paul

A2 - Grose, Daniel

PY - 2018/9/21

Y1 - 2018/9/21

N2 - Implements Collective And Point Anomaly (CAPA) , Multi-Variate Collective And Point Anomaly (MVCAPA) , Proportion Adaptive Segment Selection (PASS) , and Bayesian Abnormal Region Detector (BARD) methods for the detection of anomalies in time series data.

AB - Implements Collective And Point Anomaly (CAPA) , Multi-Variate Collective And Point Anomaly (MVCAPA) , Proportion Adaptive Segment Selection (PASS) , and Bayesian Abnormal Region Detector (BARD) methods for the detection of anomalies in time series data.

M3 - Software

ER -