# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "quadVAR" in publications use:' type: software license: GPL-3.0-or-later title: 'quadVAR: Quadratic Vector Autoregression' version: 0.1.2 doi: 10.32614/CRAN.package.quadVAR abstract: Estimate quadratic vector autoregression models with the strong hierarchy using the Regularization Algorithm under Marginality Principle (RAMP) by Hao et al. (2018) , compare the performance with linear models, and construct networks with partial derivatives. authors: - family-names: Cui given-names: Jingmeng email: jingmeng.cui@outlook.com orcid: https://orcid.org/0000-0003-3421-8457 repository: https://sciurus365.r-universe.dev repository-code: https://github.com/Sciurus365/quadVAR commit: 8f8207c6fe93681ab1398d6ed290bc1b1a6ec7d8 url: https://sciurus365.github.io/quadVAR/ contact: - family-names: Cui given-names: Jingmeng email: jingmeng.cui@outlook.com orcid: https://orcid.org/0000-0003-3421-8457