HDTSA
High Dimensional Time Series Analysis Tools
An implementation for high-dimensional time series analysis methods, including factor model for vector time series proposed by Lam and Yao (2012) doi:10.1214/12-AOS970 and Chang, Guo and Yao (2015) doi:10.1016/j.jeconom.2015.03.024, martingale difference test proposed by Chang, Jiang and Shao (2023) doi:10.1016/j.jeconom.2022.09.001, principal component analysis for vector time series proposed by Chang, Guo and Yao (2018) doi:10.1214/17-AOS1613, cointegration analysis proposed by Zhang, Robinson and Yao (2019) doi:10.1080/01621459.2018.1458620, unit root test proposed by Chang, Cheng and Yao (2022) doi:10.1093/biomet/asab034, white noise test proposed by Chang, Yao and Zhou (2017) doi:10.1093/biomet/asw066, CP-decomposition for matrix time series proposed by Chang et al. (2023) doi:10.1093/jrsssb/qkac011 and Chang et al. (2024) doi:10.48550/arXiv.2410.05634, and statistical inference for spectral density matrix proposed by Chang et al. (2022) doi:10.48550/arXiv.2212.13686.
- Version1.0.5-1
- R versionR (≥ 3.5.0)
- LicenseGPL-3
- Needs compilation?Yes
- Last release01/28/2025
Documentation
Team
Chen Lin
MaintainerShow author detailsQiwei Yao
Show author detailsRolesAuthorJing He
Show author detailsRolesAuthorJinyuan Chang
Show author detailsRolesAuthor
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- Imports8 packages
- Suggests1 package
- Linking To2 packages