R Observatory: Metrics for RMixtComp version 4.1.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

RMixtComp

4.1.5

Mixture Models with Heterogeneous and (Partially) Missing Data

0packages depend

3.6Kdownloads / year

90.7%test coverage

13/13checks pass

Overview

About

Maintained by Quentin GrimonprezFirst published 2019-08-288 releasesCRAN page ↗GitHub ↗

Mixture Composer (Biernacki (2015) https://inria.hal.science/hal-01253393v1) is a project to perform clustering using mixture models with heterogeneous data and partially missing data. Mixture models are fitted using a SEM algorithm. It includes 8 models for real, categorical, counting, functional and ranking data.

Install

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

install.packages("RMixtComp", 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("modal-inria/MixtComp")

Development version from modal-inria/MixtComp. 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-rmixtcomp

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-RMixtComp

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-RMixtComp

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

Health

CRAN checks

13OK

Slowest check: 5.6 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.74

90.7%

Coverage · measured lines

100%

Documentation · exports

5

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
OK2026-03-23
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 2 earlier snapshots

ERROR2026-03-16
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesYes · dynamicpkgdown siteNoNEWSYes · 33% structuredCode of conductNoContributing guideNo

Examples that run: 69%
Documented parameters: 82%
Return-value docs: 100%
References docs: 23%

Downloads

3.6K

CRAN downloads in the past year

Rank #11,505 · ~10/day · ~301/mo

Releases R versions

Daily download trend is not available in this view yet.

26230 days

85690 days

3.6K1 year

Compare downloads with other packages →

Also on146 r2u23 autocran56 c2d4u

Repository

GitHub ↗ modal-inria/mixtcomp

13Stars

5Forks

10Open issues

3Open PRs

26Releases

2,944Commits

23Contributors

statisticsmixture-modelrcppclusteringmissing-dataheterogeneous-datamixed-data

2,944 commits · Last activity 2026-05-21

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/modal-inria/mixtcomp on 2026-08-16.

Continuous integration (1)

GitHub Actions

Git structural (1)

Submodules

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

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (2)

R >= 3.5.0RMixtCompUtilities

Imports (4)

RMixtCompIO ggplot2 plotly scales

LinkingTo (0)

none

Suggests (5)

testthat xml2 Rmixmod knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (7)

Maintainer (1)

Quentin Grimonprez

Author, Maintainer

Authors (3)

Quentin Grimonprez

Author, Maintainer

Christophe Biernacki

Author

Vincent Kubicki

Author

Contributors (4)

Étienne Goffinet

Contributor

Serge Iovleff

Contributor

Matthieu Marbac-Lourdelle

Contributor

Julien Vandaele

Contributor · added in 4.1.3

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
4.1.5Latest
2025-06-15 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
4.1.4
2023-06-19 · diff ↗
unarchivedReturned to CRAN
2023-06-19
archivedRemoved from CRAN
2023-06-09
issues were not corrected in time
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
4.1.3
2021-03-29 · diff ↗
4.1.2
2020-06-25 · diff ↗
R
R 4.0.0 released · 2020-04-24
4.1.0
2020-01-07 · diff ↗
4.0.2
2019-09-16 · diff ↗
4.0.1
2019-09-05 · diff ↗

Show 2 earlier events

4.0.0
2019-08-28
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-08-28
Total releases: 8 / 7 yrs
License: AGPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 898 KB / 4 files
Download size: 1.2 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("RMixtComp")

Format

Grimonprez, Q., Biernacki, C., Goffinet, É., Iovleff, S., Kubicki, V., Marbac-Lourdelle, M., & Vandaele, J. (2025). RMixtComp: Mixture Models with Heterogeneous and (Partially) Missing Data (Version 4.1.5) [Computer software]. https://doi.org/10.32614/CRAN.package.RMixtComp

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 RMixtComp version 4.1.5 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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