Package: QWDAP
Type: Package
Title: Quantum Walk-Based Data Analysis and Prediction
Version: 1.1.20
Date: 2024-10-11
Authors@R: c(person("Binghuang","Pan",role=c("aut","cre"),
            email = "bright1up@163.com"),
            person("Zhaoyuan","Yu",role="aut",
            email = "yuzhaoyuan@njnu.edu.cn"),
            person("Xu","Hu",role="ctb"),
            person("Yuhao","Teng",role="ctb"))
Author: Binghuang Pan [aut, cre],
  Zhaoyuan Yu [aut],
  Xu Hu [ctb],
  Yuhao Teng [ctb]
Maintainer: Binghuang Pan <bright1up@163.com>
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.
Imports: pls, CORElearn, Rcpp, methods
LinkingTo: Rcpp,RcppEigen
License: GPL-2
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
RoxygenNote: 7.1.2
Depends: R (>= 3.5.0)
NeedsCompilation: yes
Packaged: 2024-10-10 16:12:04 UTC; rstudio
Repository: CRAN
Date/Publication: 2024-10-10 16:30:08 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-11-12 02:52:45 UTC; windows
Archs: x64
