hdftsa: High-Dimensional Functional Time Series Analysis
Offers methods for visualising, modelling, and forecasting high-dimensional functional time series, also known as functional panel data. Documentation about 'hdftsa' is initially provided via the paper by Cristian F. Jimenez-Varon, Ying Sun and Han Lin Shang (2024, Journal of Computational and Graphical Statistics).
| Version: | 1.1 |
| Depends: | R (≥ 3.5.0), ftsa, forecast |
| Imports: | methods, MASS, pdfCluster |
| Published: | 2026-03-31 |
| DOI: | 10.32614/CRAN.package.hdftsa |
| Author: | Han Lin Shang 
[aut, cre] |
| Maintainer: | Han Lin Shang <hanlin.shang at mq.edu.au> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | ChangeLog |
| In views: | TimeSeries |
| CRAN checks: | hdftsa results |
Documentation:
| Reference manual: | hdftsa.html , hdftsa.pdf |
Downloads:
| Package source: | hdftsa_1.1.tar.gz |
| Windows binaries: | r-devel: hdftsa_1.0.zip, r-release: hdftsa_1.0.zip, r-oldrel: hdftsa_1.0.zip |
| macOS binaries: | r-release (arm64): hdftsa_1.1.tgz, r-oldrel (arm64): hdftsa_1.0.tgz, r-release (x86_64): hdftsa_1.1.tgz, r-oldrel (x86_64): hdftsa_1.0.tgz |
| Old sources: | hdftsa archive |
Linking:
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