HDTSA
1.0.6-2High Dimensional Time Series Analysis Tools
Overview
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 tests proposed by Chang, Yao and Zhou (2017) doi:10.1093/biomet/asw066 and Chang et al. (2026+), CP-decomposition for matrix time series proposed by Chang et al. (2023) doi:10.1093/jrsssb/qkac011 and Chang et al. (2026+) doi:10.48550/arXiv.2410.05634, CP-decomposition for tensor time series proposed by Chang et al. (2026+) doi:10.48550/arXiv.2606.08560, and statistical inference for spectral density matrix proposed by Chang et al. (2025) doi:10.1080/01621459.2025.2468013.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-04-2212 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-1811 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 94%
- Documented parameters
- 94%
- Return-value docs
- 100%
- References docs
- 67%
Downloads
Repository
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Repository practices
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/linc2021/hdtsa on 2026-08-16.
Dependencies
Nothing depends on this yet.
Code & Tests
Datasets
People & History
10 releases. Pick two to compare their code metrics. R releases are shown for context.
- 1.0.6-2Latest
- 1.0.6-12026-06-23 · diff ↗
- RR 4.6.0 released · 2026-04-24
- 1.0.62026-04-03 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 1.0.5-12025-01-28 · diff ↗
- 1.0.52024-12-02 · diff ↗
- 1.0.42024-09-03 · diff ↗
- 1.0.32024-06-04 · diff ↗
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.0.22023-01-07 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 1.0.12021-11-08 · diff ↗
- 1.0.02021-06-04
- RR 4.1.0 released · 2021-05-18
Package metadata
- First published
- 2021-06-04
- Total releases
- 10 / 5 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 3.3 MB / 5 files
- Download size
- 3.4 MB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("HDTSA")This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.