qwdap.predict

Based on the established model, make predict. The core algorithm of VAR prediction comes from MTS(ver. 1.1.1).

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.predict function

<dl><dt>in_model</dt>
<dd>a 'QWMODEL' object, which is the model built by Stepwise Regression,
PCR, PLSR, PPR, VAR in this package.</dd>
<dt>data_range</dt>
<dd>indicate the index range of the part data generated by quantum walks for predict.</dd></dl>

Arguments

Prediction — qwdap.predict

<dl>

<dt>in_model</dt>
<dd>a 'QWMODEL' object, which is the model built by Stepwise Regression,
PCR, PLSR, PPR, VAR in this package.</dd>


<dt>data_range</dt>
<dd>indicate the index range of the part data generated by quantum walks for predict.</dd>

</dl>

qwdap.predict: Prediction

Description

Usage

Value

Arguments

Examples