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gcTensor

1.0.0

Generalized Coupled Tensor Factorization

0packages depend
2Kdownloads / year
84.9%test coverage
0/13checks pass

Overview

About
Maintained by Koki TsuyuzakiFirst published 2021-09-132 releasesCRAN page ↗GitHub ↗

Multiple matrices/tensors can be specified and decomposed simultaneously by Probabilistic Latent Tensor Factorisation (PLTF). See the reference section of GitHub README.md https://github.com/rikenbit/gcTensor, for details of the method.

Install

Health

CRAN checks
13NOTE
Failing flavors
  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
  • NOTE r-devel-windows-x86_64
  • NOTE r-oldrel-macos-arm64
  • NOTE r-oldrel-macos-x86_64
  • NOTE r-oldrel-windows-x86_64
  • NOTE r-patched-linux-x86_64
  • NOTE r-release-linux-x86_64
  • NOTE r-release-macos-arm64
  • NOTE r-release-macos-x86_64
  • NOTE r-release-windows-x86_64
Slowest check: 1.5 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 1.42
84.9%
Coverage · measured lines
100%
Documentation · exports
2
Dependencies · direct
Check history
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

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

Downloads

2K
CRAN downloads in the past year
Rank #22,606 · ~6/day · ~170/mo
Daily download trend is not available in this view yet.
12630 days
46890 days
2K1 year
Compare downloads with other packages →
Also on101 r2u8 autocran

Repository

Repository
3Stars
0Forks
0Open issues
0Open PRs
2Releases
17Commits
2Contributors
17 commits · Last activity 2023-07-06

Stars over time

2023-10-25 · 22026-07-07 · 3

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/gctensor on 2026-08-16.

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 >= 4.1.0
Imports (2)
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

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

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

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.0Latest
    2023-07-06 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 0.99.0
    2021-09-13
  • R
    R 4.1.0 released · 2021-05-18

Package metadata

First published
2021-09-13
Total releases
2 / 5 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Download size
16 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("gcTensor")
Tsuyuzaki, K. (2023). gcTensor: Generalized Coupled Tensor Factorization (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.gcTensor

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 gcTensor version 1.0.0 [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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