hanr_fft_amoc_cusum: Anomaly Detector using FFT with AMOC and CUSUM Cutoff

In harbinger: A Unified Time Series Event Detection Framework

Anomaly Detector using FFT with AMOC and CUSUM Cutoff

Description

This detector combines FFT-based spectral filtering with an AMOC change-point cutoff applied to the cumulative spectrum. The lower-frequency components are removed, the signal is reconstructed, and the residual is scored for anomalies.

This function extends the HARBINGER framework and returns an object of class hanr_fft_amoc_cusum.

Usage

hanr_fft_amoc_cusum()

Value

hanr_fft_amoc_cusum object

Examples

library(daltoolbox)

# Load anomaly example data
data(examples_anomalies)

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

# Configure FFT+CUSUM+AMOC detector
model <- hanr_fft_amoc_cusum()

# Fit the model
model <- fit(model, dataset$serie)

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

# Inspect detected anomalies
print(detection[detection$event, ])

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