Package: quadVAR
Title: Quadratic Vector Autoregression
Version: 0.1.2
Authors@R: 
    person("Jingmeng", "Cui", , "jingmeng.cui@outlook.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0003-3421-8457"))
Description: Estimate quadratic vector autoregression models with the
    strong hierarchy using the Regularization Algorithm under Marginality
    Principle (RAMP) by Hao et al. (2018)
    <doi:10.1080/01621459.2016.1264956>, compare the performance with
    linear models, and construct networks with partial derivatives.
License: GPL (>= 3)
URL: https://github.com/Sciurus365/quadVAR,
        https://sciurus365.github.io/quadVAR/
BugReports: https://github.com/Sciurus365/quadVAR/issues
Imports: cli, dplyr, ggplot2, magrittr, ncvreg, qgraph, RAMP, rlang,
        shiny, shinythemes, stats, stringr, tibble, tidyr
Suggests: nonlinearTseries, remotes, SIS, testthat (>= 3.0.0)
Config/testthat/edition: 3
Encoding: UTF-8
RoxygenNote: 7.3.2
NeedsCompilation: no
Packaged: 2025-02-11 14:08:33 UTC; jingm
Author: Jingmeng Cui [aut, cre] (<https://orcid.org/0000-0003-3421-8457>)
Maintainer: Jingmeng Cui <jingmeng.cui@outlook.com>
Repository: CRAN
Date/Publication: 2025-02-11 17:30:05 UTC
Built: R 4.6.0; ; 2026-04-30 01:20:15 UTC; unix
