R Observatory: Metrics for tensorMiss version 1.1.1

Balamuta, James Joseph

tensorMiss

1.1.1

Handle Missing Tensor Data with C++ Integration

2packages depend

2.5Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Zetai CenFirst published 2024-03-232 releasesCRAN page ↗

To handle higher-order tensor data. See Kolda and Bader (2009) doi:10.1137/07070111X for details on tensor. While existing packages on tensor data extend the base 'array' class to some data classes, this package serves as an alternative resort to handle tensor only as 'array' class. Some functionalities related to missingness are also supported.

Install

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

install.packages("tensorMiss", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

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-tensormiss

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-tensorMiss

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-tensorMiss

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

Health

CRAN checks

13OK

Slowest check: 5.0 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

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
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-04-22
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Show 1 earlier snapshots

NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

2.5K

CRAN downloads in the past year

Rank #14,000 · ~7/day · ~208/mo

Releases R versions

Daily download trend is not available in this view yet.

17330 days

72190 days

2.5K1 year

Compare downloads with other packages →

Also on445 r2u4 autocran

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (4)

Rcpp RcppEigen rTensorstats

LinkingTo (2)

Rcpp RcppEigen

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

KOFM MEFM

Code & Tests

People & History

People (1)

Maintainer (1)

Zetai Cen

Author, Maintainer

Authors (1)

Zetai Cen

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
1.1.1Latest
2024-04-10 · current release · diff ↗
0.1.1
2024-03-23
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2024-03-23
Total releases: 2 / 2 yrs
License: GPL-3 OSI
Download size: 32 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("tensorMiss")

CRAN DOI

https://doi.org/10.32614/CRAN.package.tensorMiss

BibTeX, derived from DESCRIPTION

@Manual{tensorMiss,
  title  = {tensorMiss: Handle Missing Tensor Data with C++ Integration},
  author = {Cen, Zetai},
  year   = {2024},
  note   = {R package version 1.1.1},
  doi    = {10.32614/CRAN.package.tensorMiss},
  url    = {https://CRAN.R-project.org/package=tensorMiss}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatorytensorMiss,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {tensorMiss} version 1.1.1},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/tensorMiss},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for tensorMiss version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/tensorMiss

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for tensorMiss version 1.1.1
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/tensorMiss
ER  -

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/tensorMiss.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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