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QWDAP (version 1.1.20)

Quantum Walk-Based Data Analysis and Prediction

Description

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.

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Version

Install

install.packages('QWDAP')

Monthly Downloads

256

Version

1.1.20

License

GPL-2

Maintainer

Binghuang Pan

Last Published

October 10th, 2024

Functions in QWDAP (1.1.20)

qwdap.eval

Evaluation
qwdap.rrelieff

RReliefF
qwdap.predict

Prediction
qwdap.var

Vector Autoregressive Model
qwdap.pcr

Principle Component Regression
qwdap.swr

Model by Stepwise Regression
qwdap.qwalk

Quantum Walk
qwdap.plsr

Partial Least Squares Regression
qwdap.ppr

Projection Pursuit Regression
qwdap.sws

Mode Selection by Stepwise Regression
traffic.model.n1

The estabulished model by Stepwise Regression of the 'N1' station
traffic.n1

Data of the 'N1' station
trafficflow

Highway traffic flow data
traffic.qw

A set of modes generated by quantum walk