stop_time_detect: Detection of the optimal stopping time in a curve time series

View source: R/stop_time_detect.R

stop_time_detectR Documentation

Detection of the optimal stopping time in a curve time series

Description

Detecting the optimal stopping time for the glue curing of wood panels in an automatic process environment.

Usage

stop_time_detect(data, forecasting_method = c("ets", "arima", "rw"))

Arguments

data

An object of class fts

forecasting_method

A univariate time series forecasting method

Value

break_points_strucchange

Breakpoints detected by the regression approach

break_points_ecp

Breakpoints detected by the distance-based approach

err_forward

Forward integrated squared forecast errors

err_backward

Backward integrated squared forecast errors (ISFEs)

ncomp_select_forward

Number of components selected by the eigenvalue ratio tests based on the forward ISFEs

ncomp_select_backward

Number of components selected by the eigenvalue ratio tests based on the backward ISFEs

Author(s)

Han Lin Shang

References

Bekhta, P., Ortynska, G. and Sedliacik, J. (2014). Properties of modified phenol-formaldehyde adhesive for plywood panels manufactured from high moisture content veneer. Drvna Industrija 65(4), 293-301.


ftsa documentation built on May 29, 2024, 2:47 a.m.