hcp_scp: Seminal change point

In harbinger: A Unified Time Series Event Detection Framework

Seminal change point

Description

Change-point detection is related to event/trend change detection. Seminal change point detects change points based on deviations of linear regression models adjusted with and without a central observation in each sliding window <10.1145/312129.312190>.

Usage

hcp_scp(sw_size = 30)

Arguments

sw_size

Sliding window size

Value

hcp_scp object

References

• Ogasawara, E., Salles, R., Porto, F., Pacitti, E. Event Detection in Time Series. 1st ed. Cham: Springer Nature Switzerland, 2025. doi:10.1007/978-3-031-75941-3

Examples

library(daltoolbox)

# Load change-point example data
data(examples_changepoints)

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

# Configure seminal change-point detector
model <- hcp_scp()

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

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

# Show detected change points
print(detection[(detection$event),])

harbinger documentation built on Feb. 11, 2026, 9:06 a.m.