detect: Detect events in time series

In harbinger: A Unified Time Series Event Detection Framework

Detect events in time series

Description

Event detection using a fitted Harbinger model

Usage

detect(obj, ...)

Arguments

obj	harbinger object
...	optional arguments.

Value

a data frame with the index of observations and if they are identified or not as an event, and their type

Examples

# See ?hanc_ml for an example of anomaly detection using machine learning classification
# See ?hanr_arima for an example of anomaly detection using ARIMA
# See ?hanr_fbiad for an example of anomaly detection using FBIAD
# See ?hanr_garch for an example of anomaly detection using GARCH
# See ?hanr_kmeans for an example of anomaly detection using kmeans clustering
# See ?hanr_ml for an example of anomaly detection using machine learning regression
# See ?hanr_cf_arima for an example of change point detection using ARIMA
# See ?hanr_cf_ets for an example of change point detection using ETS
# See ?hanr_cf_lr for an example of change point detection using linear regression
# See ?hanr_cf_garch for an example of change point detection using GARCH
# See ?hanr_cf_scp for an example of change point detection using the seminal algorithm
# See ?hmo_sax for an example of motif discovery using SAX
# See ?hmu_pca for an example of anomaly detection in multivariate time series using PCA

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