har_ensemble: Harbinger Ensemble

In harbinger: A Unified Time Series Event Detection Framework

Harbinger Ensemble

Description

Majority-vote ensemble across multiple Harbinger detectors with optional temporal fuzzification to combine nearby detections.

Usage

har_ensemble(...)

Arguments

...	One or more detector objects.

Value

A har_ensemble object

References

• 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

library(daltoolbox)

# Load anomaly example data
data(examples_anomalies)

# Use a simple example
dataset <- examples_anomalies$simple
head(dataset)

# Configure an ensemble of detectors
model <- har_ensemble(hanr_arima(), hanr_arima(), hanr_arima())
# model <- har_ensemble(hanr_fbiad(), hanr_arima(), hanr_emd())

# Fit all ensemble members
model <- fit(model, dataset$serie)

# Run ensemble detection
detection <- detect(model, dataset$serie)

# Show detected events
print(detection[(detection$event),])

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