Package: QWDAP 1.1.20

Binghuang Pan

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.

Authors:Binghuang Pan [aut, cre], Zhaoyuan Yu [aut], Xu Hu [ctb], Yuhao Teng [ctb]

QWDAP_1.1.20.tar.gz
QWDAP_1.1.20.tar.gz(r-4.5-noble)QWDAP_1.1.20.tar.gz(r-4.4-noble)
QWDAP_1.1.20.tgz(r-4.4-emscripten)QWDAP_1.1.20.tgz(r-4.3-emscripten)
QWDAP.pdf |QWDAP.html
QWDAP/json (API)

# Install 'QWDAP' in R:
install.packages('QWDAP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 683 downloads 10 exports 9 dependencies

Last updated 27 days agofrom:38c36a1545. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 11 2024
R-4.5-linux-x86_64OKOct 11 2024

Exports:qwdap.evalqwdap.pcrqwdap.plsrqwdap.pprqwdap.predictqwdap.qwalkqwdap.rrelieffqwdap.swrqwdap.swsqwdap.var

Dependencies:clusterCORElearnnnetplotrixplsRcppRcppEigenrpartrpart.plot