examples_anomalies: Time series for anomaly detection

In harbinger: A Unified Time Series Event Detection Framework

Time series for anomaly detection

Description

A list of time series designed for anomaly detection tasks.

• simple: simple synthetic series with isolated anomalies.

• contextual: contextual anomalies relative to local behavior.

• trend: synthetic series with trend and anomalies.

• multiple: multiple anomalies.

• sequence: repeated anomalous sequences.

• tt: train-test split synthetic series.

• tt_warped: warped train-test synthetic series.

#'

Usage

data(examples_anomalies)

Format

A list of time series for anomaly detection.

Source

Harbinger package

References

Harbinger package

Ogasawara, E., Salles, R., Porto, F., Pacitti, E. Event Detection in Time Series. 1st ed. Cham: Springer Nature Switzerland, 2025. doi:10.1007/978-3-031-75941-3

Examples

data(examples_anomalies)
# Select a simple anomaly series
serie <- examples_anomalies$simple
head(serie)

harbinger documentation built on Feb. 11, 2026, 9:06 a.m.