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QWDAP: Quantum Walk-Based Data Analysis and Prediction

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.

Version: 1.1.20
Depends: R (≥ 3.5.0)
Imports: pls, CORElearn, Rcpp, methods
LinkingTo: Rcpp, RcppEigen
Published: 2024-10-10
DOI: 10.32614/CRAN.package.QWDAP
Author: Binghuang Pan [aut, cre], Zhaoyuan Yu [aut], Xu Hu [ctb], Yuhao Teng [ctb]
Maintainer: Binghuang Pan <bright1up at 163.com>
License: GPL-2
NeedsCompilation: yes
CRAN checks: QWDAP results

Documentation:

Reference manual: QWDAP.pdf

Downloads:

Package source: QWDAP_1.1.20.tar.gz
Windows binaries: r-devel: QWDAP_1.1.20.zip, r-release: QWDAP_1.1.20.zip, r-oldrel: QWDAP_1.1.20.zip
macOS binaries: r-release (arm64): QWDAP_1.1.20.tgz, r-oldrel (arm64): QWDAP_1.1.20.tgz, r-release (x86_64): QWDAP_1.1.20.tgz, r-oldrel (x86_64): QWDAP_1.1.20.tgz
Old sources: QWDAP archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=QWDAP to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.