R Observatory: Metrics for nnTensor version 1.4.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

nnTensor

1.4.0

Non-Negative Tensor Decomposition

4packages depend

7.3Kdownloads / year

61.3%test coverage

13/13checks pass

Overview

About

Maintained by Koki TsuyuzakiFirst published 2018-06-0422 releasesCRAN page ↗GitHub ↗

Some functions for performing non-negative matrix factorization, non-negative CANDECOMP/PARAFAC (CP) decomposition, non-negative Tucker decomposition, and generating toy model data. See Andrzej Cichock et al (2009) and the reference section of GitHub README.md https://github.com/rikenbit/nnTensor, for details of the methods.

Install

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

install.packages("nnTensor", 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("rikenbit/nnTensor")

Development version from rikenbit/nnTensor. 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-nntensor

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-nnTensor

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-nnTensor

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 24.0 min · r-release-windows-x86_64

Code health

Yes

Tests · ratio 0.62

61.3%

Coverage · measured lines

100%

Documentation · exports

8

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

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 97%
Return-value docs: 79%
References docs: 69%

Downloads

7.3K

CRAN downloads in the past year

Rank #4,696 · ~20/day · ~610/mo

Releases R versions

Daily download trend is not available in this view yet.

28330 days

1.7K90 days

7.3K1 year

Compare downloads with other packages →

Also on114 r2u15 autocran2.8K conda_forge

Repository

GitHub ↗ rikenbit/nntensor

22Stars

5Forks

0Open issues

0Open PRs

6Releases

69Commits

2Contributors

69 commits · Last activity 2026-05-08 · 0% stars, 30d

Stars over time

2025-06-20 · 182026-07-07 · 22

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/nntensor on 2026-08-09.

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

11 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.4.0

Imports (8)

methodsMASSfields rTensor plot3D tagcloud ggplot2 Vicus

LinkingTo (0)

none

Suggests (5)

knitr rmarkdown testthat dplyr tweedie

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

4direct

0indirect

dcTensor mwTensor ccTensor iTensor

Code & Tests

People & History

People (2)

Maintainer (1)

Koki Tsuyuzaki

Author, Maintainer

Authors (2)

Koki Tsuyuzaki

Author, Maintainer

Itoshi Nikaido

Author

Listed in earlier versions (1)

Manabu Ishii

no longer listed · 0.99.1 to 1.1.10

Package Timeline

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

1.4.0Latest
2026-05-08 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.3.0
2024-05-13 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.2.0
2023-06-22 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.1.13
2023-03-17 · diff ↗
1.1.12
2023-02-15 · diff ↗
1.1.10
2022-11-15 · diff ↗
1.1.8
2022-07-14 · diff ↗
1.1.7
2022-06-17 · diff ↗
1.1.6
2022-05-02 · diff ↗
R
R 4.2.0 released · 2022-04-22
1.1.5
2021-09-03 · diff ↗
1.1.4
2021-08-17 · diff ↗

Show 17 earlier events

1.1.2
2021-07-06 · diff ↗
1.1.0
2021-06-24 · diff ↗
1.0.7
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'
1.0.5
2020-06-04 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.0.4
2020-04-20 · diff ↗
1.0.2
2019-10-25 · diff ↗
1.0.1
2019-08-06 · diff ↗
1.0.0
2019-07-30 · diff ↗
0.99.5
2019-07-28 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.99.4
2018-09-16 · diff ↗
0.99.1
2018-06-04
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-06-04
Total releases: 22 / 8 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.4.0
Download size: 690 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("nnTensor")

Format

Tsuyuzaki, K., & Nikaido, I. (2026). nnTensor: Non-Negative Tensor Decomposition (Version 1.4.0) [Computer software]. https://doi.org/10.32614/CRAN.package.nnTensor

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for nnTensor version 1.4.0 [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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