qwdap.sws

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).

The modeling and prediction of graph-associated time series(GATS) based on continuous time quantum walk. This software is mainly used for feature extraction, modeling, prediction and result evaluation of GATS, including continuous time quantum walk simulation, feature selection, regression analysis, time series prediction, and series fit calculation. A paper is attached to the package for reference.

Binghuang Pan

QWDAP

Quantum Walk-Based Data Analysis and Prediction

Zhaoyuan Yu

Xu Hu

Yuhao Teng

qwdap.sws function

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

Arguments

Mode Selection by Stepwise Regression — qwdap.sws

<dl>

<dt>real</dt>
<dd>the real series observed.</dd>


<dt>ctqw</dt>
<dd>the 'CTQW' object.</dd>


<dt>index</dt>
<dd>the index of the data for mode selection.</dd>


<dt>select_method</dt>
<dd>choose a stepwise method.</dd>


<dt>plotting</dt>
<dd>whether to plot.</dd>

</dl>

qwdap.sws: Mode Selection by Stepwise Regression

Description

Usage

Value

Arguments

Details

Examples