QWDAP: Quantum Walk-Based Data Analysis and Prediction

Modeling and predicting time series based on continuous time quantum.This package can be divided into three parts: Basis Generation, Data Modeling and Prediction, and Model Evaluation according to the analysis process of time series. 'Basis Generation' has realized the continuous time quantum walk simulation for generating modes as the basis. Some regression methods are used to model the observed time series and predict in 'Data Modeling and Prediction', and 'Model Evaluation' can be used to evaluate the data correspondence between two series.

Version: 1.1.11
Depends: R (≥ 3.5.0)
Imports: progress, StepReg, MTS, pls, CORElearn
Published: 2022-01-17
Author: Binghuang Pan [aut, cre], Zhaoyuan Yu [aut], Xu Hu [ctb], Dongshuang Li [ctb], Yuhao Teng [ctb], Xinxin Zhou [ctb]
Maintainer: Binghuang Pan <bright1up at 163.com>
License: GPL-2
NeedsCompilation: no
CRAN checks: QWDAP results

Documentation:

Reference manual: QWDAP.pdf

Downloads:

Package source: QWDAP_1.1.11.tar.gz
Windows binaries: r-devel: QWDAP_1.1.11.zip, r-release: QWDAP_1.1.11.zip, r-oldrel: QWDAP_1.1.11.zip
macOS binaries: r-release (arm64): QWDAP_1.1.11.tgz, r-release (x86_64): QWDAP_1.1.11.tgz, r-oldrel: QWDAP_1.1.11.tgz
Old sources: QWDAP archive

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