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.

Version: 1.1.17
Depends: R (≥ 3.5.0)
Imports: pls, CORElearn, Rcpp, methods
LinkingTo: Rcpp, RcppEigen
Published: 2022-04-01
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
SystemRequirements: C++11
CRAN checks: QWDAP results


Reference manual: QWDAP.pdf


Package source: QWDAP_1.1.17.tar.gz
Windows binaries: r-devel: QWDAP_1.1.17.zip, r-release: QWDAP_1.1.17.zip, r-oldrel: QWDAP_1.1.17.zip
macOS binaries: r-release (arm64): QWDAP_1.1.17.tgz, r-oldrel (arm64): QWDAP_1.1.17.tgz, r-release (x86_64): QWDAP_1.1.17.tgz, r-oldrel (x86_64): QWDAP_1.1.17.tgz
Old sources: QWDAP archive


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