R Observatory: Metrics for ordinalClust version 1.3.5.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ordinalClust

1.3.5.1Package record

Ordinal Data Clustering, Co-Clustering and Classification

0packages dependsuggested by 1

2.6Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Julien JacquesCRAN page ↗

Ordinal data classification, clustering and co-clustering using model-based approach with the BOS (Binary Ordinal Search) distribution for ordinal data (Christophe Biernacki and Julien Jacques (2016) doi:10.1007/s11222-015-9585-2).

Install

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

install.packages("ordinalClust", 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-ordinalclust

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-ordinalClust

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-ordinalClust

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 5.5 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK10 OK2026-04-25
ERROR6 OK, 1 NOTE, 1 ERROR2026-04-22

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.3.5.1

READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 10
Examples that run: 50%2 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 57%
Documented parameters: 96%
Return-value docs: 57%
Help pages citing references: 30%

Vignettes (1)

ordinalClust

How these are measured

Downloads

2.6K

CRAN downloads in the past year

Rank #9,869 · ~7/day · ~218/mo

Releases R versions

Daily download trend is not available in this view yet.

36030 days

1K90 days

2.6K1 year

Compare downloads with other packages →

Also on329 r2u7 autocran

How downloads are counted

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Installing ordinalClust adds 4 packages (2 with compiled code, 17 MB of source tarballs). Heaviest: BH 14 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (1)

R >= 3.3

Imports (2)

Rcppmethods

LinkingTo (4)

Rcpp RcppProgress RcppArmadillo BH

Suggests (4)

knitr rmarkdown caret ggplot2

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 1

Suggests, most downloaded first

mixedClust

How these are counted

Code & Tests

Datasets

People & History

People (3)

Julien Jacques

Author, Maintainer since 1.3.5.1 (2026)

Christophe Biernacki

Author

Margot Selosse

Author

Previously maintained by Margot Selosse (1.1 to 1.3.5).

Releases (9)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
unarchivedReturned to CRAN
2026-04-21
1.3.5.1Latest
record
2026-04-21 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
archivedRemoved from CRAN
2024-01-12
issues were not corrected despite reminders
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
unarchivedReturned to CRAN
2020-11-19
1.3.5
record
2020-11-19 · diff ↗
archivedRemoved from CRAN
2020-11-04
check problems were not corrected in time
R
R 4.0.0 released · 2020-04-24
1.3.4
record
2019-07-25 · diff ↗
1.3.3
record
2019-06-19 · diff ↗ ·
added 1 export
summary
R
R 3.6.0 released · 2019-04-26

Show 7 earlier eventsHide 7 earlier events

1.3.1
record
2018-08-06 · diff ↗
1.3
record
2018-07-31 · diff ↗ ·
removed 4 exports
boscoclustMulti, bosclustMulti, bosclassifMulti, bosplot

added 2 exports
predict, plot
R
R 3.5.0 released · 2018-04-23
1.2.1
record
2018-01-08 · diff ↗
1.2
record
2017-11-18 · diff ↗
1.1
record
2017-11-17
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-11-17
Total releases: 9 / 9 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.3
Bundled data: 3.2 KB / 3 files
Download size: 270 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ordinalClust")

Format

Jacques, J., Biernacki, C., & Selosse, M. (2026). ordinalClust: Ordinal Data Clustering, Co-Clustering and Classification (Version 1.3.5.1) [Computer software]. https://doi.org/10.32614/CRAN.package.ordinalClust

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 ordinalClust version 1.3.5.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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