heteromixgm
Copula Graphical Models for Heterogeneous Mixed Data
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.0.2 |
rolling source/ R- | heteromixgm_2.0.2.tar.gz |
18.7 KiB |
2.0.2 |
rolling linux/jammy R-4.5 | heteromixgm_2.0.2.tar.gz |
106.5 KiB |
2.0.2 |
rolling linux/noble R-4.5 | heteromixgm_2.0.2.tar.gz |
106.5 KiB |
2.0.2 |
latest source/ R- | heteromixgm_2.0.2.tar.gz |
18.7 KiB |
2.0.2 |
latest linux/jammy R-4.5 | heteromixgm_2.0.2.tar.gz |
106.5 KiB |
2.0.2 |
latest linux/noble R-4.5 | heteromixgm_2.0.2.tar.gz |
106.5 KiB |
2.0.2 |
2026-04-23 source/ R- | heteromixgm_2.0.2.tar.gz |
18.7 KiB |
2.0.2 |
2026-04-09 windows/windows R-4.5 | heteromixgm_2.0.2.zip |
109.8 KiB |
2.0.2 |
2025-04-20 source/ R- | heteromixgm_2.0.2.tar.gz |
18.7 KiB |