The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

HDTSA: High Dimensional Time Series Analysis Tools

Procedures for high-dimensional time series analysis including factor analysis 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 (2021) preprint, principal component analysis proposed by Chang, Guo and Yao (2018) <doi:10.1214/17-AOS1613>, identifying conintegration proposed by Zhang, Robinson and Yao (2019) <doi:10.1080/01621459.2018.1458620>, unit root test proposed by Chang, Cheng and Yao (2021) <doi:10.1093/biomet/asab034> and white noise test proposed by Chang, Yao and Zhou (2017) <doi:10.1093/biomet/asw066>.

Version: 1.0.2
Depends: R (≥ 3.5.0)
Imports: stats, Rcpp, clime, sandwich, methods
LinkingTo: Rcpp, RcppEigen
Suggests: knitr
Published: 2023-01-07
Author: Chen Lin [aut, cre], Jinyuan Chang [aut], Qiwei Yao [aut]
Maintainer: Chen Lin <linchen at smail.swufe.edu.cn>
BugReports: https://github.com/Linc2021/HDTSA/issues
License: GPL-3
URL: https://github.com/Linc2021/HDTSA
NeedsCompilation: yes
In views: TimeSeries
CRAN checks: HDTSA results

Documentation:

Reference manual: HDTSA.pdf

Downloads:

Package source: HDTSA_1.0.2.tar.gz
Windows binaries: r-devel: HDTSA_1.0.2.zip, r-release: HDTSA_1.0.2.zip, r-oldrel: HDTSA_1.0.2.zip
macOS binaries: r-release (arm64): HDTSA_1.0.2.tgz, r-oldrel (arm64): HDTSA_1.0.2.tgz, r-release (x86_64): HDTSA_1.0.2.tgz, r-oldrel (x86_64): HDTSA_1.0.2.tgz
Old sources: HDTSA archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=HDTSA to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.