R Observatory: Metrics for tensorTS version 1.0.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

tensorTS

1.0.3Package record

Factor and Autoregressive Models for Tensor Time Series

0packages depend

7.1Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Zebang LiCRAN page ↗GitHub ↗Issues ↗

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

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("tensorTS", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("zebang/tensorTS")

Development version from zebang/tensorTS. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-tensorts

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-tensorTS

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-tensorTS

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.2 min · r-oldrel-macos-x86_64

Status changes

OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-08
ERROR12 OK, 1 ERROR2026-06-07
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.3

READMEYes · 64 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 12
Examples that run: 100%11 run in a plain check
Exported functions with examples: 91%
Documented parameters: 96%
Return-value docs: 100%
Help pages citing references: 42%

How these are measured

Downloads

7.1K

CRAN downloads in the past year

Rank #10,723 · ~20/day · ~595/mo

Releases R versions

Daily download trend is not available in this view yet.

32130 days

97890 days

7.1K1 year

Compare downloads with other packages →

Also on104 r2u85 c2d4u

How downloads are counted

Repository

zebang/tensorts ↗Account: ZeBang

122Stars

12Forks

4Open issues

0Open PRs

0Releases

178Commits

2Commit identities

178 commits · Last activity 2026-07-07 · 0% stars, 30d · The default branch showed an older version (1.0.2) than CRAN on 2026-10-21

Responsiveness

How these are sampled

PRs merged (all time): not measured
Median days to close, 50 most recently updated closed issues: 115
Median days to close, 50 most recently updated closed PRs: not measured

Stars over time

2025-05-30 · 1202026-07-07 · 122

How these are measured

PracticesBeta

Checks run against github.com/zebang/tensorts on 2026-10-21.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing tensorTS adds 5 packages (1 with compiled code, 601 KB of source tarballs). Heaviest: pracma 389 KB, expm 145 KB, rTensor 43 KB.

Depends (0)

none

Imports (10)

tensor rTensor expmmethodsstatsMASSabindMatrixpracmagraphics

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (6)

Zebang Li

Author, Maintainer since 0.1.0 (2021)

Author

Author

Author

Author

Author

Releases (8)

Pick two releases to compare their code metrics.

1.0.3Latest
record
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
record
2024-04-27 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.0.1
record
2023-05-07 · diff ↗ ·
removed 1 export
tenAR.predict

added 2 exports
taxi.sim.AR, taxi.sim.FM
R
R 4.3.0 released · 2023-04-21
1.0.0
record
2022-05-08 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.1.3
record
2022-04-11 · diff ↗
0.1.2
record
2021-08-10 · diff ↗ ·
added 1 export
mplot.acf
R
R 4.1.0 released · 2021-05-18
0.1.1
record
2021-04-22 · diff ↗
0.1.0
record
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

Appears in task views

Time Series Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tensorTS")

Format

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 package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tensorTS version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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