R Observatory: Metrics for cellWise version 2.5.7

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

cellWise

2.5.7

Analyzing Data with Cellwise Outliers

15packages depend

47Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Jakob RaymaekersFirst published 2016-12-0719 releasesCRAN page ↗

Tools for detecting cellwise outliers and robust methods to analyze data which may contain them. Contains the implementation of the algorithms described in Rousseeuw and Van den Bossche (2018) doi:10.1080/00401706.2017.1340909 (open access) Hubert et al. (2019) doi:10.1080/00401706.2018.1562989 (open access), Raymaekers and Rousseeuw (2021) doi:10.1080/00401706.2019.1677270 (open access), Raymaekers and Rousseeuw (2021) doi:10.1007/s10994-021-05960-5 (open access), Raymaekers and Rousseeuw (2021) doi:10.52933/jdssv.v1i3.18 (open access), Raymaekers and Rousseeuw (2022) doi:10.1080/01621459.2023.2267777 (open access) Rousseeuw (2022) doi:10.1016/j.ecosta.2023.01.007 (open access). Examples can be found in the vignettes: "DDC_examples", "MacroPCA_examples", "wrap_examples", "transfo_examples", "DI_examples", "cellMCD_examples" , "Correspondence_analysis_examples", and "cellwise_weights_examples".

Install

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

install.packages("cellWise", 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-cellwise

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-cellWise

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-cellWise

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

Health

CRAN checks

13OK

Slowest check: 15.2 min · r-oldrel-macos-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

12

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
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 3 earlier snapshots

NOTE2026-04-22
11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
10 OK · 3 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 91%
References docs: 91%

Downloads

47K

CRAN downloads in the past year

Rank #2,181 · ~129/day · ~3.9K/mo

Releases R versions

Daily download trend is not available in this view yet.

2.9K30 days

9K90 days

47K1 year

Compare downloads with other packages →

Also on929 r2u25 autocran83 c2d4u

Dependencies

Declared dependencies

18 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.0.0

Imports (12)

reshape2 scales ggplot2 matrixStats gridExtra robustbase rrcov svdstatsutilsshape Rcpp

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (7)

knitr robustHDMASSellipse markdown rospca GSE

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

15direct

4indirect

AIDA ConfidenceEllipse GSE OutliersO3 RCTS RDnp RMSS classmap robStepSplitReg rrobot srlars ssMRCD HRTnomaly ShapleyOutlier spareg

Code & Tests

Datasets

People & History

People (4)

Maintainer (1)

Jakob Raymaekers

Author, Maintainer

Authors (2)

Jakob Raymaekers

Author, Maintainer

Peter Rousseeuw

Author

Contributors (2)

Mia Hubert

Contributor · added in 2.1.0

Wannes Van den Bossche

Contributor

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
2.5.7Latest
2026-02-26 · current release · diff ↗
2.5.5
2026-01-08 · diff ↗
2.5.4
2025-09-23 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
2.5.3
2023-10-25 · diff ↗
2.5.2
2023-04-21 · diff ↗
R
R 4.3.0 released · 2023-04-21
2.5.0
2022-12-11 · diff ↗
2.4.0
2022-08-10 · diff ↗
R
R 4.2.0 released · 2022-04-22
2.2.6
2022-03-16 · diff ↗
R
R 4.1.0 released · 2021-05-18
2.2.5
2021-03-09 · diff ↗
2.2.3
2020-12-03 · diff ↗

Show 14 earlier events

2.2.2
2020-11-26 · diff ↗
2.2.1
2020-11-11 · diff ↗
2.2.0
2020-10-27 · diff ↗
R
R 4.0.0 released · 2020-04-24
2.1.1
2020-04-14 · diff ↗
R
R 3.6.0 released · 2019-04-26
2.1.0
2019-02-25 · diff ↗
2.0.10
2018-06-26 · diff ↗
R
R 3.5.0 released · 2018-04-23
2.0.8
2018-02-02 · diff ↗
2.0.7
2018-02-01 · diff ↗
R
R 3.4.0 released · 2017-04-21
1.0.0
2016-12-07
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2016-12-07
Total releases: 19 / 10 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 4.0.0
Bundled data: 3.1 MB / 10 files
Download size: 4.5 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Anomaly Detection

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("cellWise")

Format

Raymaekers, J., Hubert, M., Rousseeuw, P., & Van den Bossche, W. (2026). cellWise: Analyzing Data with Cellwise Outliers (Version 2.5.7) [Computer software]. https://doi.org/10.32614/CRAN.package.cellWise

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 cellWise version 2.5.7 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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