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tensorTS

1.0.3

Factor and Autoregressive Models for Tensor Time Series

0packages depend
7.9Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Zebang LiFirst published 2021-04-218 releasesCRAN page ↗GitHub ↗

Factor and autoregressive models for matrix and tensor valued time series. We provide functions for estimation, simulation and prediction. The models are discussed in Li et al (2021) doi:10.48550/arXiv.2110.00928, Chen et al (2020) DOI:10.1080/01621459.2021.1912757, Chen et al (2020) DOI:10.1016/j.jeconom.2020.07.015, and Xiao et al (2020) doi:10.48550/arXiv.2006.02611.

Install

Health

CRAN checks
13OK
Slowest check: 2.2 min · r-oldrel-macos-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
10
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-08
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-07
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 64 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
96%
Return-value docs
100%
References docs
42%

Downloads

7.9K
CRAN downloads in the past year
Rank #4,948 · ~22/day · ~657/mo
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26630 days
1.6K90 days
7.9K1 year
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Repository

Repository
122Stars
12Forks
5Open issues
0Open PRs
0Releases
178Commits
2Contributors
178 commits · Last activity 2026-07-07 · 0% stars, 30d

Stars over time

2025-05-30 · 1202026-07-07 · 122

Repository practices

Upstream repositoryBeta

Checks run against github.com/zebang/tensorts on 2026-08-16.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (10)
tensorrTensorexpmmethodsstatsMASSabindMatrixpracmagraphics
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (6)
Maintainer (1)
Author, Maintainer
Authors (6)
Author, Maintainer
Author
Author
Author
Author
Package Timeline

8 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 1.0.3Latest
    2026-07-06 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.0.2
    2024-04-27 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.1
    2023-05-07 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.0
    2022-05-08 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.3
    2022-04-11 · diff ↗
  • 0.1.2
    2021-08-10 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.1
    2021-04-22 · diff ↗
  • 0.1.0
    2021-04-21
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-04-21
Total releases
8 / 5 yrs
License
GPL (>= 2) OSI
Download size
31 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tensorTS")
Li, Z., Chen, R., Han, Y., Xiao, H., Yang, D., & Yu, R. (2026). tensorTS: Factor and Autoregressive Models for Tensor Time Series (Version 1.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.tensorTS

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tensorTS version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

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.

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