harbinger: Harbinger

In harbinger: A Unified Time Series Event Detection Framework

Harbinger

Description

Base class for time series event detection in the Harbinger framework. It provides shared state handling and helper methods used by anomaly, change-point, and motif detectors. Concrete detectors extend this class and implement their own fit() and/or detect() S3 methods.

Usage

harbinger()

Details

Internally, this class stores references to the original series, indices of non-missing observations, and helper structures to restore detection results in the original series index space. It also exposes utility hooks for deviation measures, filter criteria, and candidate selection provided by harutils().

Value

A harbinger object that can be extended by detectors.

References

• Harbinger documentation: https://cefet-rj-dal.github.io/harbinger

• Salles, R., Escobar, L., Baroni, L., Zorrilla, R., Ziviani, A., Kreischer, V., Delicato, F., Pires, P. F., Maia, L., Coutinho, R., Assis, L., Ogasawara, E. Harbinger: Um framework para integração e análise de métodos de detecção de eventos em séries temporais. Anais do Simpósio Brasileiro de Banco de Dados (SBBD). In: Anais do XXXV Simpósio Brasileiro de Bancos de Dados. SBC, 28 Sep. 2020. doi:10.5753/sbbd.2020.13626

Examples

# See the specific detector examples for anomalies, change points, and motifs
# at https://cefet-rj-dal.github.io/harbinger

harbinger documentation built on May 14, 2026, 5:06 p.m.