R Observatory: Metrics for clusterMI version 1.6

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

clusterMI

1.6

Cluster Analysis with Missing Values by Multiple Imputation

0packages depend

4Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Vincent AudigierFirst published 2024-03-1210 releasesCRAN page ↗

Allows clustering of incomplete observations by addressing missing values using multiple imputation. For achieving this goal, the methodology consists in three steps, following Audigier and Niang 2022 doi:10.1007/s11634-022-00519-1. I) Missing data imputation using dedicated models. Four multiple imputation methods are proposed, two are based on joint modelling and two are fully sequential methods, as discussed in Audigier et al. (2021) doi:10.48550/arXiv.2106.04424. II) cluster analysis of imputed data sets. Six clustering methods are available (distances-based or model-based), but custom methods can also be easily used. III) Partition pooling. The set of partitions is aggregated using Non-negative Matrix Factorization based method. An associated instability measure is computed by bootstrap (see Fang, Y. and Wang, J., 2012 doi:10.1016/j.csda.2011.09.003). Among applications, this instability measure can be used to choose a number of clusters with missing values. The package also proposes several diagnostic tools to tune the number of imputed data sets, to tune the number of iterations in fully sequential imputation, to check the fit of imputation models, etc.

Install

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

install.packages("clusterMI", 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-clustermi

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-clusterMI

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-clusterMI

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

Health

CRAN checks

13OK

Slowest check: 7.5 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

24

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
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 88%
Return-value docs: 100%
References docs: 57%

Downloads

4K

CRAN downloads in the past year

Rank #9,964 · ~11/day · ~333/mo

Releases R versions

Daily download trend is not available in this view yet.

26330 days

97790 days

4K1 year

Compare downloads with other packages →

Also on439 r2u4 autocran

Dependencies

Declared dependencies

30 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (24)

statsgraphicsparallelmice micemd mclust mix fpc knockoff withr glmnet ClusterR FactoMineR diceR NPBayesImputeCat e1071 Rfast catutilsggplot2 gridExtra reshape2methodsRcpp

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (9)

knitr rmarkdown stargazer VIM missMDA clustrd clusterCrit bookdown R.rsp

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

Vincent Audigier

Author, Maintainer

Authors (1)

Vincent Audigier

Author, Maintainer

Contributors (1)

Hang Joon Kim

Contributor

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
1.6Latest
2026-04-03 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
1.5
2025-02-24 · diff ↗
1.4.0
2025-02-12 · diff ↗
1.3
2024-12-12 · diff ↗
1.2.2
2024-10-23 · diff ↗
1.2.1
2024-07-07 · diff ↗
1.2
2024-07-04 · diff ↗
1.1.1
2024-05-31 · diff ↗
1.1.0
2024-05-17 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.0.0
2024-03-12
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2024-03-12
Total releases: 10 / 2 yrs
License: GPL-2 | GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 5.0 KB / 1 file
Download size: 1.1 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Cluster Analysis & Finite Mixture Models Missing Data

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("clusterMI")

Format

Audigier, V., & Kim, H. J. (2026). clusterMI: Cluster Analysis with Missing Values by Multiple Imputation (Version 1.6) [Computer software]. https://doi.org/10.32614/CRAN.package.clusterMI

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 clusterMI version 1.6 [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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