hanr_garch {harbinger} | R Documentation |
Anomaly detector using GARCH
Description
Anomaly detection using GARCH The GARCH model adjusts to the time series. Observations distant from the model are labeled as anomalies. It wraps the ugarch model presented in the rugarch library.
Usage
hanr_garch()
Value
hanr_garch
object
Examples
library(daltoolbox)
#loading the example database
data(examples_anomalies)
#Using simple example
dataset <- examples_anomalies$simple
head(dataset)
# setting up time series regression model
model <- hanr_garch()
# fitting the model
model <- fit(model, dataset$serie)
detection <- detect(model, dataset$serie)
# filtering detected events
print(detection[(detection$event),])
[Package harbinger version 1.0.787 Index]