qwdap.sws: Mode Selection by Stepwise Regression

In QWDAP: Quantum Walk-Based Data Analysis and Prediction

Mode Selection by Stepwise Regression

Description

Mode selection by Stepwise Regression. The purpose of this function is to select the part modes with similar characteristics to the observed time series from the modes generated by the quantum walk. And it is based on the linear model. The core algorithm comes from StepReg(ver. 1.4.2).

Usage

qwdap.sws(real, ctqw, index, select_method, plotting)

Arguments

real	the real series observed.
ctqw	the 'CTQW' object.
index	the index of the data for mode selection.
select_method	choose a stepwise method.
plotting	whether to plot.

Details

The 'QWMS' object include the original time series and the modes generated by quantum walks.

Value

a 'QWMS' object.

Examples

data("traffic.qw")
data("trafficflow")
res.sws <- qwdap.sws(trafficflow,traffic.qw,1,"bidirection",TRUE)

QWDAP documentation built on April 1, 2022, 9:06 a.m.