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multinomialLogitMix

1.1Package record

Clustering Multinomial Count Data under the Presence of Covariates

0packages depend
2.7Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Methods for model-based clustering of multinomial counts under the presence of covariates using mixtures of multinomial logit models, as implemented in Papastamoulis (2023) DOI:10.1007/s11634-023-00547-5. These models are estimated under a frequentist as well as a Bayesian setup using the Expectation-Maximization algorithm and Markov chain Monte Carlo sampling (MCMC), respectively. The (unknown) number of clusters is selected according to the Integrated Completed Likelihood criterion (for the frequentist model), and estimating the number of non-empty components using overfitting mixture models after imposing suitable sparse prior assumptions on the mixing proportions (in the Bayesian case), see Rousseau and Mengersen (2011) DOI:10.1111/j.1467-9868.2011.00781.x. In the latter case, various MCMC chains run in parallel and are allowed to switch states. The final MCMC output is suitably post-processed in order to undo label switching using the Equivalence Classes Representatives (ECR) algorithm, as described in Papastamoulis (2016) DOI:10.18637/jss.v069.c01.

Install

Health

CRAN checks
13OK
Slowest check: 3.6 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1
READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Description cites a JSS article
Help pages
16includes a package overview page
Examples that run
100%4 run in a plain check
Exported functions with examples
27%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
44%

Downloads

2.7K
CRAN downloads in the past year
Rank #18,445 · ~7/day · ~225/mo
Daily download trend is not available in this view yet.
30630 days
70590 days
2.7K1 year
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Also on345 r2u1 autocran

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing multinomialLogitMix adds 28 packages (12 with compiled code, 19 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, isoband 1.5 MB.

Depends (0)
none
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 1.0 (2022)
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1Latest
    record
    2023-07-17 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0
    record
    2022-08-23
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-08-23
Total releases
2 / 4 yrs
License
GPL-2 OSI
Download size
31 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("multinomialLogitMix")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.1007/s11634-023-00547-5.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for multinomialLogitMix version 1.1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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