Skip to content

dcTensor

1.3.1

Discrete Matrix/Tensor Decomposition

0packages depend
2.9Kdownloads / year
15.2%test coverage
13/13checks pass

Overview

About
Maintained by Koki TsuyuzakiFirst published 2023-02-217 releasesCRAN page ↗GitHub ↗

Semi-Binary and Semi-Ternary Matrix Decomposition are performed based on Non-negative Matrix Factorization (NMF) and Singular Value Decomposition (SVD). For the details of the methods, see the reference section of GitHub README.md https://github.com/rikenbit/dcTensor.

Install

Health

CRAN checks
13OK
Slowest check: 7.0 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.69
15.2%
Coverage · measured lines
100%
Documentation · exports
5
Dependencies · direct
Check history
  • OK2026-08-05
    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
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
97%
Return-value docs
100%
References docs
70%

Downloads

2.9K
CRAN downloads in the past year
Rank #14,971 · ~8/day · ~242/mo
Daily download trend is not available in this view yet.
19130 days
69290 days
2.9K1 year
Compare downloads with other packages →
Also on134 r2u22 autocran

Repository

Repository
3Stars
0Forks
0Open issues
0Open PRs
8Releases
22Commits
2Contributors
22 commits · Last activity 2025-08-25

Stars over time

2023-12-23 · 32026-07-07 · 3

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/rikenbit/dctensor on 2026-08-16.

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

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.4.0
Imports (5)
LinkingTo (0)
none
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

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

  • R
    R 4.6.0 released · 2026-04-24
  • 1.3.1Latest
    2025-08-25 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.3.0
    2024-05-11 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.0
    2023-07-07 · diff ↗
  • 1.1.0
    2023-06-23 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.1
    2023-03-17 · diff ↗
  • 1.0.0
    2023-03-07 · diff ↗
  • 0.99.1
    2023-02-21
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-02-21
Total releases
7 / 3 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.4.0
Download size
1.5 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("dcTensor")
Tsuyuzaki, K. (2025). dcTensor: Discrete Matrix/Tensor Decomposition (Version 1.3.1) [Computer software]. https://doi.org/10.32614/CRAN.package.dcTensor

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 dcTensor version 1.3.1 [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.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy