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heteromixgm

2.0.2Package record

Copula Graphical Models for Heterogeneous Mixed Data

0packages depend
2.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

A multi-core R package that allows for the statistical modeling of multi-group multivariate mixed data using Gaussian graphical models. Combining the Gaussian copula framework with the fused graphical lasso penalty, the 'heteromixgm' package can handle a wide variety of datasets found in various sciences. The package also includes an option to perform model selection using the AIC, BIC and EBIC information criteria, a function that plots partial correlation graphs based on the selected precision matrices, as well as simulate mixed heterogeneous data for exploratory or simulation purposes and one multi-group multivariate mixed agricultural dataset pertaining to maize yields. The package implements the methodological developments found in Hermes et al. (2024) doi:10.1080/10618600.2023.2289545.

Install

Health

CRAN checks
13OK
Slowest check: 1.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • WARNING12 OK, 1 WARNING2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.0.2
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
7
Examples that run
57%4 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
100%

Downloads

2.4K
CRAN downloads in the past year
Rank #17,329 · ~7/day · ~200/mo
Daily download trend is not available in this view yet.
25030 days
73690 days
2.4K1 year
Compare downloads with other packages →
Also on66 r2u1 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing heteromixgm adds 29 packages (17 with compiled code, 26 MB of source tarballs). Heaviest: ggplot2 6.0 MB, igraph 4.8 MB, Rcpp 1.8 MB.

Depends (1)
R >= 3.10
Imports (10)
MatrixigraphparalleltmvtnormglassoBDgraphmethodsstatsutilsMASS
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.0 (2023)
Contributor
Releases (5)

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
  • 2.0.2Latest
    record
    2024-08-19 · current release · diff ↗ ·
    added 1 export
    plot_pcorgraph
  • 2.0.1
    record
    2024-08-01 · diff ↗
  • 2.0.0
    record
    2024-07-30 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.0
    record
    2023-06-29 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.0
    record
    2023-02-27
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-02-27
Total releases
5 / 3 yrs
License
GPL-3 OSI
Minimum R
≥ 3.10
Bundled data
2.4 KB / 1 file
Download size
19 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("heteromixgm")
Hermes, S., Behrouzi, P., & van Heerwaarden, J. (2024). heteromixgm: Copula Graphical Models for Heterogeneous Mixed Data (Version 2.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.heteromixgm

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 heteromixgm version 2.0.2 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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