R Observatory: Metrics for cclustr version 0.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

cclustr

0.1.2Package record

Consensus Clustering Methods for Multiple Imputed Data

0packages depend

1.8Kdownloads / year

61.6%test coverage

13/13flavors OK

Overview

About

Maintained by Andres Montenegro LemusCRAN page ↗GitHub ↗Issues ↗

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.

Changes in 0.1.2

Maintenance

Updated the package vignette to use the SynthDiabetes2 dataset from mlbench (>= 2.1-11), replacing PimaIndiansDiabetes2, which was removed from mlbench and is no longer available. Added mlbench (>= 2.1-11) to Suggests in DESCRIPTION.

From NEWS.md in the release

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. 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-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). 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: 2.1 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-10
ERROR10 OK, 3 ERROR2026-07-25
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK5 OK2026-05-19

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.2

READMENoVignettesYes · 1 · evaluation depends on the environmentNEWSYes · 100% structured · mentions 0.1.2Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 10 (1 internal)includes a package overview page
Examples that run: 100%9 run in a plain check
Exported functions with examples: 100%
Documented parameters: 91%
Return-value docs: 100%
Help pages citing references: 70%

Vignettes (1)

Consensus Clustering with Multiple Imputed Data using cclustr HTML

How these are measured

Downloads

1.8K

CRAN downloads in the past year

Rank #14,221 · ~5/day · ~146/mo

Releases R versions

Daily download trend is not available in this view yet.

24730 days

83790 days

1.8K1 year

Compare downloads with other packages →

Also on38 r2u14 autocran

How downloads are counted

Repository

andrews06ml/cclustr ↗Account: andrews06ml

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-08-31

Responsiveness

not measured

How these are measured

PracticesBeta

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

Checks run against github.com/andrews06ml/cclustr on 2026-10-21.

Continuous integration (1)

GitHub Actions

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

13 external dependencies (excludes base and recommended)

Installing cclustr adds 84 packages (41 with compiled code, 59 MB of source tarballs). Heaviest: stringi 11 MB, bslib 5.6 MB, questionr 3.5 MB.

Depends (1)

R >= 4.0

Imports (10)

clustere1071 fpcgraphicsstatsviridisLite klaR clustMixType proxy mclust

LinkingTo (0)

none

Suggests (7)

knitr mice mlbench rmarkdown spelling testthatutils

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Andres Montenegro Lemus

Author, Maintainer since 0.1.1 (2026)

Anhuar Duran Mendoza

Author

Mario Pacheco Lopez

Author

Releases (2)

Pick two releases to compare their code metrics.

0.1.2Latest
record
2026-09-03 · current release · diff ↗
0.1.1
record
2026-05-18
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-05-18
Total releases: 2 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.0
Download size: 104 KB

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 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.cclustr

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 cclustr version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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