# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "HDTSA" in publications use:' type: software license: GPL-3.0-only title: 'HDTSA: High Dimensional Time Series Analysis Tools' version: 1.0.5 doi: 10.32614/CRAN.package.HDTSA abstract: An implementation for high-dimensional time series analysis methods, including factor model for vector time series proposed by Lam and Yao (2012) and Chang, Guo and Yao (2015) , martingale difference test proposed by Chang, Jiang and Shao (2023) , principal component analysis for vector time series proposed by Chang, Guo and Yao (2018) , cointegration analysis proposed by Zhang, Robinson and Yao (2019) , unit root test proposed by Chang, Cheng and Yao (2022) , white noise test proposed by Chang, Yao and Zhou (2017) , CP-decomposition for matrix time series proposed by Chang et al. (2023) and Chang et al. (2024) , and statistical inference for spectral density matrix proposed by Chang et al. (2022) . authors: - family-names: Chang given-names: Jinyuan email: changjinyuan@swufe.edu.cn - family-names: He given-names: Jing email: he_jing@swufe.edu.cn - family-names: Lin given-names: Chen email: linchen@smail.swufe.edu.cn - family-names: Yao given-names: Qiwei email: q.yao@lse.ac.uk repository: https://CRAN.R-project.org/package=HDTSA repository-code: https://github.com/Linc2021/HDTSA url: https://github.com/Linc2021/HDTSA date-released: '2024-11-30' contact: - family-names: Lin given-names: Chen email: linchen@smail.swufe.edu.cn