Fits matrix-variate variance-gamma (MVVG) and matrix-variate normal-inverse-Gaussian (MVNIG) linear regression models using expectation-conditional maximization (ECM) algorithms. The models accommodate clustered matrix-valued responses, with unequal numbers of observations across subjects, correlated responses, skewness, and within-subject dependence. Functions are provided for model fitting, prediction, and subject-level influence assessment using approximate generalized Cook's distances. The package also includes motivating periodontal data from Gullah-speaking African Americans with Type-II diabetes. For details on the underlying matrix-variate distributions (MVVG and MVNIG), see Gallaugher and McNicholas (2019, <doi:10.1016/j.spl.2018.08.012>).
| Version: | 0.1.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Bessel, clusterGeneration, DistributionUtils, matlib, maxLik, truncnorm, pracma, matrixcalc, purrr |
| Suggests: | knitr, rmarkdown |
| Published: | 2026-07-16 |
| DOI: | 10.32614/CRAN.package.MVNGmod |
| Author: | Samuel Soon [aut, cre], Dipankar Bandyopadhyay [aut], Qingyang Liu [aut] |
| Maintainer: | Samuel Soon <samksoon2 at gmail.com> |
| BugReports: | https://github.com/soonsk-vcu/MVNGmod/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/soonsk-vcu/MVNGmod |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | MVNGmod results |
| Reference manual: | MVNGmod.html , MVNGmod.pdf |
| Vignettes: |
Modeling Matrix-Variate Non-Gaussian Distributions (source, R code) |
| Package source: | MVNGmod_0.1.2.tar.gz |
| Windows binaries: | r-devel: MVNGmod_0.1.2.zip, r-release: MVNGmod_0.1.2.zip, r-oldrel: MVNGmod_0.1.2.zip |
| macOS binaries: | r-release (arm64): MVNGmod_0.1.2.tgz, r-oldrel (arm64): MVNGmod_0.1.2.tgz, r-release (x86_64): MVNGmod_0.1.2.tgz, r-oldrel (x86_64): MVNGmod_0.1.2.tgz |
| Old sources: | MVNGmod archive |
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