R Observatory: Metrics for cclustr version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

CRAN requires the check problems on this package to be fixed before 2026-09-04 or it will be archived.

cclustr

0.1.1

Consensus Clustering Methods for Multiple Imputed Data

0packages depend

1Kdownloads / year

61.6%test coverage

4/13checks pass

Overview

About

Maintained by Andres Montenegro LemusFirst published 2026-05-191 releasesCRAN page ↗GitHub ↗

Provides tools for performing consensus clustering on multiple imputed datasets. The package supports a range of clustering algorithms across imputations, including hierarchical methods (e.g., Ward, single, complete, average) and partition-based approaches such as k-means, k-medoids (PAM), fuzzy clustering, model-based clustering ('mclust'), and methods for mixed or categorical data (k-modes and k-prototypes). A co-assignment matrix is constructed to quantify agreement between partitions, and consensus solutions are derived via hierarchical clustering applied to the resulting dissimilarity matrix. Additional functions are provided for validation and visualization of clustering results, facilitating robust analysis in the presence of missing data. Consensus clustering framework is based on Monti et al. (2003) doi:10.1023/A:1023949509487, rank aggregation methods follow Pihur et al. (2007) doi:10.1093/bioinformatics/btm158, and the PAC (Proportion of Ambiguous Clustering) metric is based on Senbabaoglu et al. (2014) doi:10.1038/srep06207.

Install

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

install.packages("cclustr", 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("andrews06ml/cclustr")

Development version from andrews06ml/cclustr. 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-cclustr

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-cclustr

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-cclustr

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

Health

CRAN checks

9ERROR4OK

Failing flavors

ERROR r-devel-linux-x86_64-debian-clang
ERROR r-devel-linux-x86_64-debian-gcc
ERROR r-devel-linux-x86_64-fedora-clang
ERROR r-devel-linux-x86_64-fedora-gcc
ERROR r-devel-windows-x86_64
ERROR r-oldrel-windows-x86_64
ERROR r-patched-linux-x86_64
ERROR r-release-linux-x86_64
ERROR r-release-windows-x86_64

Slowest check: 2.1 min · r-release-macos-x86_64

Code health

Yes

Tests · ratio 0.30

61.6%

Coverage · measured lines

100%

Documentation · exports

10

Dependencies · direct

Check history

ERROR2026-07-25
10 OK · 0 NOTE · 0 WARNING · 3 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
OK2026-05-19
5 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 91%
Return-value docs: 100%
References docs: 70%

Downloads

1K

CRAN downloads in the past year

Rank #9,295 · ~3/day · ~86/mo

Releases R versions

Daily download trend is not available in this view yet.

19830 days

1K90 days

1K1 year

Compare downloads with other packages →

Also on23 r2u17 autocran

Repository

GitHub ↗ andrews06ml/cclustr

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-05-13

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/andrews06ml/cclustr on 2026-08-09.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.0

Imports (10)

clustere1071 fpcgraphicsstatsviridisLite klaR clustMixType proxy mclust

LinkingTo (0)

none

Suggests (7)

knitr mice mlbench rmarkdown spelling testthat (>= 3.0.0)utils

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)

Maintainer (1)

Andres Montenegro Lemus

Author, Maintainer

Authors (3)

Andres Montenegro Lemus

Author, Maintainer

Anhuar Duran Mendoza

Author

Mario Pacheco Lopez

Author

Package Timeline

1 release. R releases are shown for context.

0.1.1Latest
2026-05-19 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-05-19
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.0
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("cclustr")

Format

Montenegro Lemus, A., Duran Mendoza, A., & Pacheco Lopez, M. (2026). cclustr: Consensus Clustering Methods for Multiple Imputed Data (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.cclustr

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 cclustr version 0.1.1 [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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