hanr_fbiad: Anomaly detector using FBIAD

In harbinger: A Unified Time Series Event Detection Framework

Anomaly detector using FBIAD

Description

Anomaly detector using FBIAD

Usage

hanr_fbiad(sw_size = 30)

Arguments

sw_size

Window size for FBIAD

Value

hanr_fbiad object Forward and Backward Inertial Anomaly Detector (FBIAD) detects anomalies in time series. Anomalies are observations that differ from both forward and backward time series inertia doi:10.1109/IJCNN55064.2022.9892088.

Examples

library(daltoolbox)

#loading the example database
data(examples_anomalies)

#Using simple example
dataset <- examples_anomalies$simple
head(dataset)

# setting up time series regression model
model <- hanr_fbiad()

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

detection <- detect(model, dataset$serie)

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

harbinger documentation built on June 22, 2024, 7:38 p.m.