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QWDAP  

Quantum Walk-Based Data Analysis and Prediction
View on CRAN: Click here


Download and install QWDAP package within the R console
Install from CRAN:
install.packages("QWDAP")

Install from Github:
library("remotes")
install_github("cran/QWDAP")

Install by package version:
library("remotes")
install_version("QWDAP", "1.1.20")



Attach the package and use:
library("QWDAP")
Maintained by
Binghuang Pan
[Scholar Profile | Author Map]
First Published: 2021-11-25
Latest Update: 2022-04-01
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.
How to cite:
Binghuang Pan (2021). QWDAP: Quantum Walk-Based Data Analysis and Prediction. R package version 1.1.20, https://cran.r-project.org/web/packages/QWDAP. Accessed 10 Apr. 2025.
Previous versions and publish date:
1.1.7 (2021-11-25 21:00), 1.1.8 (2021-12-03 14:10), 1.1.10 (2022-01-04 12:40), 1.1.11 (2022-01-17 09:32), 1.1.12 (2022-03-18 13:50), 1.1.16 (2022-03-26 10:40), 1.1.17 (2022-04-01 09:20), 1.1.18 (2024-04-19 14:12)
Other packages that cited QWDAP R package
View QWDAP citation profile
Other R packages that QWDAP depends, imports, suggests or enhances
Complete documentation for QWDAP
Functions, R codes and Examples using the QWDAP R package
Some associated functions: qwdap.eval . qwdap.pcr . qwdap.plsr . qwdap.ppr . qwdap.predict . qwdap.qwalk . qwdap.rrelieff . qwdap.swr . qwdap.sws . qwdap.var . traffic.model.n1 . traffic.n1 . traffic.qw . trafficflow . 
Some associated R codes: RcppExports.R .  Full QWDAP package functions and examples
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