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ttTensor

1.0.2

Tensor-Train Decomposition

0packages depend
5.3Kdownloads / year
89.1%test coverage
13/13checks pass

Overview

About
Maintained by Koki TsuyuzakiFirst published 2019-03-063 releasesCRAN page ↗GitHub ↗

Tensor-train is a compact representation for higher-order tensors. Some algorithms for performing tensor-train decomposition are available such as TT-SVD, TT-WOPT, and TT-Cross. For the details of the algorithms, see I. V. Oseledets (2011) doi:10.1137/090752286, Yuan Longao, et al (2017) doi:10.48550/arXiv.1709.02641, I. V. Oseledets (2010) doi:10.1016/j.laa.2009.07.024.

Install

Health

CRAN checks
13OK
Slowest check: 1.6 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.26
89.1%
Coverage · measured lines
100%
Documentation · exports
4
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
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
89%
Documented parameters
100%
Return-value docs
100%
References docs
67%

Downloads

5.3K
CRAN downloads in the past year
Rank #9,677 · ~14/day · ~438/mo
Daily download trend is not available in this view yet.
14530 days
99990 days
5.3K1 year
Compare downloads with other packages →
Also on98 r2u9 autocran

Repository

Repository
4Stars
0Forks
0Open issues
0Open PRs
1Releases
15Commits
2Contributors
15 commits · Last activity 2025-09-06 · 0% stars, 30d

Stars over time

2023-04-02 · 32026-07-07 · 4

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/rikenbit/tttensor on 2026-08-09.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
Dockerfile
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (4)
methodsrTensorPTAkMatrix
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.2Latest
    2025-09-03 · current release · diff ↗
  • unarchivedReturned to CRAN
    2025-09-03
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • archivedRemoved from CRAN
    2023-10-24
    requires archived package 'rTensore'
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.0.1
    2021-05-18 · diff ↗
  • unarchivedReturned to CRAN
    2021-05-18
  • R
    R 4.1.0 released · 2021-05-18
  • archivedRemoved from CRAN
    2021-05-05
    requires archived package 'rTensor'
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 0.99.2
    2019-03-06
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2019-03-06
Total releases
3 / 7 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Download size
14 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ttTensor")
Tsuyuzaki, K., Ishii, M., & Nikaido, I. (2025). ttTensor: Tensor-Train Decomposition (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.ttTensor

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 ttTensor version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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