Other packages > Find by keyword >

heteromixgm  

Copula Graphical Models for Heterogeneous Mixed Data
View on CRAN: Click here


Download and install heteromixgm package within the R console
Install from CRAN:
install.packages("heteromixgm")

Install from Github:
library("remotes")
install_github("cran/heteromixgm")

Install by package version:
library("remotes")
install_version("heteromixgm", "2.0.2")



Attach the package and use:
library("heteromixgm")
Maintained by
Sjoerd Hermes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-02-27
Latest Update: 2024-08-19
Description:
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, 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. (2022) .
How to cite:
Sjoerd Hermes (2023). heteromixgm: Copula Graphical Models for Heterogeneous Mixed Data. R package version 2.0.2, https://cran.r-project.org/web/packages/heteromixgm. Accessed 07 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:47), 0.1.0 (2023-02-27 09:22), 1.0.0 (2023-06-29 19:40), 2.0.0 (2024-07-30 18:40), 2.0.1 (2024-08-01 13:00)
Other packages that cited heteromixgm R package
View heteromixgm citation profile
Other R packages that heteromixgm depends, imports, suggests or enhances
Complete documentation for heteromixgm
Functions, R codes and Examples using the heteromixgm R package
Some associated functions: data_sim . heteromixgm . initialize . lower.upper . maize . modselect . 
Some associated R codes: Approx_method.R . FGL.R . Gibbs_method.R . data_sim.R . globals.R . heteromixgm.R . modselect.R .  Full heteromixgm package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

BayesESS  
Determining Effective Sample Size
Determines effective sample size of a parametric prior distribution in Bayesian models. For a web-b ...
Download / Learn more Package Citations See dependency  
bbricks  
Bayesian Methods and Graphical Model Structures for Statistical Modeling
A set of frequently used Bayesian parametric and nonparametric model structures, as well as a set of ...
Download / Learn more Package Citations See dependency  
modelwordcloud  
Model Word Clouds
Makes a word cloud of text, sized by the frequency of the word, and colored either by user-specified ...
Download / Learn more Package Citations See dependency  
enrichwith  
Methods to Enrich R Objects with Extra Components
Provides the "enrich" method to enrich list-like R objects with new, relevant components. The curren ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA