R Observatory: Metrics for ClusterR version 1.3.7

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ClusterR

1.3.7Package record

Gaussian Mixture Models, K-Means, Mini-Batch-Kmeans, K-Medoids and Affinity Propagation Clustering

15packages dependsuggested by 8

87Kdownloads / year

89.4%test coverage

13/13flavors OK

Overview

About

Maintained by Lampros MouselimisCRAN page ↗GitHub ↗Website ↗Issues ↗

Gaussian mixture models, k-means, mini-batch-kmeans, k-medoids and affinity propagation clustering with the option to plot, validate, predict (new data) and estimate the optimal number of clusters. The package takes advantage of 'RcppArmadillo' to speed up the computationally intensive parts of the functions. For more information, see (i) "Clustering in an Object-Oriented Environment" by Anja Struyf, Mia Hubert, Peter Rousseeuw (1997), Journal of Statistical Software, doi:10.18637/jss.v001.i04; (ii) "Web-scale k-means clustering" by D. Sculley (2010), ACM Digital Library, doi:10.1145/1772690.1772862; (iii) "Armadillo: a template-based C++ library for linear algebra" by Sanderson et al (2016), The Journal of Open Source Software, doi:10.21105/joss.00026; (iv) "Clustering by Passing Messages Between Data Points" by Brendan J. Frey and Delbert Dueck, Science 16 Feb 2007: Vol. 315, Issue 5814, pp. 972-976, doi:10.1126/science.1136800.

Changes in 1.3.7

The predict() method for GMMCluster objects now has a type argument. It returns hard cluster labels by default (type = "cluster"), cluster probabilities with type = "prob", and the complete output of predict_GMM() with type = "all" (see issue #73).
I fixed the CRAN NOTE: "Found calls to structure() using deprecated special names: ClusterR/tests/testthat/test-gmm.R (.Dim: 2, .Names: 1) '.Dim' should be changed to 'dim'. '.Names' should be changed to 'names'."

From NEWS.md in the release

Install

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

install.packages("ClusterR", 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("mlampros/ClusterR")

Development version from mlampros/ClusterR. 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-clusterr

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-ClusterR

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-ClusterR

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: 5.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-12
NOTE10 OK, 3 NOTE2026-07-16
OK13 OK2026-05-02
NOTE12 OK, 2 NOTE2026-04-22
ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18

Show 3 earlier changesHide 3 earlier changes

NOTE9 OK, 5 NOTE2026-04-10
ERROR8 OK, 5 NOTE, 1 ERROR2026-04-09
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.3.7

READMEYes · 483 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 1.3.7Citation fileYes · cites a publicationWebsiteYes · pkgdown

Cites a JSS articleCites a JOSS paper

Help pages: 30 (5 internal)
Examples that run: 88%22 run in a plain check · 1 never run · 2 hold no code
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 91%
Help pages citing references: 37%

Vignettes (1)

Functionality of the ClusterR package HTML

How these are measured

Downloads

87K

CRAN downloads in the past year

Rank #1,500 · ~238/day · ~7.3K/mo

Releases R versions

Daily download trend is not available in this view yet.

5.6K30 days

16.4K90 days

87K1 year

Compare downloads with other packages →

Also on1.3K r2u19 autocran11.1K conda_forge147 c2d4u

How downloads are counted

Repository

mlampros/clusterr ↗Account: mlampros

86Stars

30Forks

1Open issues

3Open PRs

0Releases

180Commits

7Commit identities

gmmkmeansmini-batch-kmeanskmedoids-clusteringrcpparmadillocpp11raffinity-propagation

180 commits · Last activity 2026-09-07 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 47%
Median days to close, 50 most recently updated closed issues: 3
Median days to close, 50 most recently updated closed PRs: 3

Stars over time

2025-04-09 · 842026-09-16 · 86

How these are measured

PracticesBeta

10 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/mlampros/clusterr on 2026-10-11.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Governance and community (3)

Issue templates

Funding links: GitHub Sponsors

The repository owner accepts GitHub Sponsors

Docs source (3)

pkgdown

GitHub Pages site last deployed 2026-09-07 · The repository has a site deploy workflow

pkgdown site last built 2026-09-07, before release 1.3.7 (2026-09-08)

Reproducibility and dev environment (1)

Dockerfile

Show all practicesHide 1 practice

Automation and maintenance (1)

Dependabot

How this is detected·Detection ruleset v3 (2026-09-26)

AI coding toolsBeta

This repository shows signs of AI coding tools.

GitHub Copilotfirst seen 2025-10-13
Commits: 9 by its own account

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing ClusterR adds 20 packages (10 with compiled code, 17 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, isoband 1.5 MB.

Depends (1)

R >= 3.2

Imports (8)

RcppgraphicsgrDevicesutilsstatsgmp ggplot2 lifecycle

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (6)

OpenImageR FD testthat covr knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

15direct

6indirect

Imports 14 · LinkingTo 1

Suggested by 8

Show all 23 packagesHide all 23 packages

Depends, Imports or LinkingTo, most downloaded first

Clustering jackstraw ClustImpute clusterMI SuperpixelImageSegmentation tidybins Spectrum harf gbif.range opGMMassessment outlierMBC patternize PUGMM INCVCommunityDetection nnmf

Suggests, most downloaded first

mlr butcher mlr3cluster tidyclust FCPS text2map ScatterDensity toscca

How these are counted

Code & Tests

Datasets

People & History

People (8)

Lampros Mouselimis

Author, Maintainer since 1.0.0 (2016)

Frederiek - Maarten Kerckhof

Contributor · added in 1.3.5

Github Contributor

Vitalie Spinu

Contributor · added in 1.2.6

Github Contributor

Siddharth Agrawal