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anomaly

Fast anomaly detection in R

In Brief

This R package implements CAPA (Collective And Point Anomalies) introduced by Fisch, Eckley and Fearnhead (2018). The package is available on CRAN and contains lightcurve data from the Kepler telescope to illustrate the algorithm.

About CAPA

CAPA detects and distinguishes between collective and point anomalies. The algorithm's runtime scales linearly at best and quadratically at worst in the number of datapoints. It is coded in C and can process 10000 datapoints almost instantly.

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Version

Install

install.packages('anomaly')

Monthly Downloads

664

Version

4.3.2

License

GPL

Maintainer

Daniel Grose

Last Published

November 23rd, 2023

Functions in anomaly (4.3.2)

machinetemp

Machine temperature data.
sampler

Post processing of BARD results.
anomaly-package

Detecting Anomalies in Data
pass

Detection of multivariate anomalous segments using PASS.
show

Displays S4 objects produced by capa methods.
collective_anomalies

Collective anomaly location, lags, and mean/variance changes.
point_anomalies

Point anomaly location and strength.
bard

Detection of multivariate anomalous segments using BARD.
plot

Visualisation of data, collective and point anomalies.
capa

A technique for detecting anomalous segments and points based on CAPA.
summary

Summary of collective and point anomalies.
sim.data

Simulated data.