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tensr

1.0.2Package record

Covariance Inference and Decompositions for Tensor Datasets

4packages dependsuggested by 1
3.6Kdownloads / year
14.3%test coverage
13/13flavors OK

Overview

About

A collection of functions for Kronecker structured covariance estimation and testing under the array normal model. For estimation, maximum likelihood and Bayesian equivariant estimation procedures are implemented. For testing, a likelihood ratio testing procedure is available. This package also contains additional functions for manipulating and decomposing tensor data sets. This work was partially supported by NSF grant DMS-1505136. Details of the methods are described in Gerard and Hoff (2015) doi:10.1016/j.jmva.2015.01.020 and Gerard and Hoff (2016) doi:10.1016/j.laa.2016.04.033.

Changes in 1.0.2
  • Added a NEWS.md file to track changes to the package.
  • Remove LazyData from DESCRIPTION.
  • Use "_PACKAGE" in roxygen.
  • Fix doi links.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • WARNING12 OK, 1 WARNING2026-06-08
  • ERROR12 OK, 1 ERROR2026-06-07
Show 1 earlier changeHide 1 earlier change
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.2
READMEYes · 532 wordsVignettesYes · 2 · dynamicNEWSYes · 67% structured · mentions 1.0.2Citation fileYes · cites a publication
Help pages
46 (1 internal)includes a package overview page
Examples that run
100%30 run in a plain check
Exported functions with examples
67%
Documented parameters
100%
Return-value docs
83%
Help pages citing references
50%

Downloads

3.6K
CRAN downloads in the past year
Rank #11,582 · ~10/day · ~300/mo
Daily download trend is not available in this view yet.
31430 days
93390 days
3.6K1 year
Compare downloads with other packages →
Also on88 r2u6 autocran1.5K conda_forge

Repository

5Stars
1Forks
1Open issues
0Open PRs
0Releases
45Commits
2Commit identities
License file reads as GPL-3.0 · 45 commits · Last activity 2025-07-24
Responsiveness
not measured

Stars over time

2022-12-08 · 52026-07-07 · 5
PracticesBeta

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

Checks run against github.com/dcgerard/tensr on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
README.Rmdpkgdown

GitHub Pages site last deployed 2025-07-24

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
5 external dependencies (excludes base and recommended)

Installing tensr adds 1 package (0 with compiled code, 12 KB of source tarballs). Heaviest: assertthat 12 KB.

Depends (0)
none
Imports (1)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
4direct
0indirect
Imports 4
Suggested by 1
Depends, Imports or LinkingTo, most downloaded first
Suggests, most downloaded first

People & History

People (2)
Author, Maintainer since 1.0.0 (2016)
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.2Latest
    record
    2025-07-24 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 1.0.1
    record
    2018-08-15 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 1.0.0
    record
    2016-02-03
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2016-02-03
Total releases
3 / 10 yrs
License
GPL-3 OSI
Download size
381 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("tensr")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1016/j.laa.2016.04.033, 10.1016/j.jmva.2015.01.020.

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 tensr version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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