hanr_fbiad {harbinger} | R Documentation |
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),])
[Package harbinger version 1.0.787 Index]