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This package was removed from CRAN on 2023-07-07. Its history is shown below.
Reason: issues were not corrected in time
Details below reflect version 1.0.4, its last release before removal.

ClustMMDD

1.0.4

Variable Selection in Clustering by Mixture Models for Discrete Data

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Overview

About
Maintained by Wilson Toussile5 releasesCRAN page ↗

An implementation of a variable selection procedure in clustering by mixture models for discrete data (clustMMDD). Genotype data are examples of such data with two unordered observations (alleles) at each locus for diploid individual. The two-fold problem of variable selection and clustering is seen as a model selection problem where competing models are characterized by the number of clusters K, and the subset S of clustering variables. Competing models are compared by penalized maximum likelihood criteria. We considered asymptotic criteria such as Akaike and Bayesian Information criteria, and a family of penalized criteria with penalty function to be data driven calibrated.

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Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
2
Dependencies · direct

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
70%
Return-value docs
90%
References docs
46%

Downloads

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Also on319 r2u17 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (2)
R >= 3.0.0Rcpp
Imports (1)
methods
LinkingTo (1)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
indirect (not tracked)

Nothing depends on this yet.

Code & Tests

Datasets

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People (1)
Other (1)
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Package Timeline

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

  • R
    R 4.4.0 released · 2024-04-24
  • archivedRemoved from CRAN
    2023-07-07
    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
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • 1.0.4
    2016-05-30 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 1.0.3
    2016-02-21 · diff ↗
  • 1.0.2
    2016-02-20 · diff ↗
  • 1.0.1
    2015-05-23 · diff ↗
  • 1.0.0
    2015-05-20
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

Total releases
5
License
GPL (>= 2) OSI
Minimum R
≥ 3.0.0
Bundled data
77 KB / 4 files
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ClustMMDD")
Toussile, W. (n.d.). ClustMMDD: Variable Selection in Clustering by Mixture Models for Discrete Data (Version 1.0.4) [Computer software]. Retrieved August 13, 2026, from https://CRAN.R-project.org/package=ClustMMDD

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ClustMMDD version 1.0.4 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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