The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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>.
| Version: | 2.0.2 |
| Depends: | R (≥ 3.10) |
| Imports: | Matrix, igraph, parallel, tmvtnorm, glasso, BDgraph, methods, stats, utils, MASS |
| Published: | 2024-08-19 |
| DOI: | 10.32614/CRAN.package.heteromixgm |
| Author: | Sjoerd Hermes [aut, cre], Joost van Heerwaarden [ctb], Pariya Behrouzi [ctb] |
| Maintainer: | Sjoerd Hermes <sjoerd.hermes at wur.nl> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | heteromixgm results |
| Reference manual: | heteromixgm.pdf |
| Package source: | heteromixgm_2.0.2.tar.gz |
| Windows binaries: | r-devel: heteromixgm_2.0.2.zip, r-release: heteromixgm_2.0.2.zip, r-oldrel: heteromixgm_2.0.2.zip |
| macOS binaries: | r-release (arm64): heteromixgm_2.0.2.tgz, r-oldrel (arm64): heteromixgm_2.0.2.tgz, r-release (x86_64): heteromixgm_2.0.2.tgz, r-oldrel (x86_64): heteromixgm_2.0.2.tgz |
| Old sources: | heteromixgm archive |
Please use the canonical form https://CRAN.R-project.org/package=heteromixgm to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.