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MVNGmod  

Matrix-Variate Non-Gaussian Linear Regression Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MVNGmod", "0.1.2")



Attach the package and use:
library("MVNGmod")
Maintained by
Samuel Soon
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-23
Latest Update: 2026-02-23
Description:
An implementation of the expectation conditional maximization (ECM) algorithm for matrix-variate variance gamma (MVVG) and normal-inverse Gaussian (MVNIG) linear models. These models are designed for settings of multivariate analysis with clustered non-uniform observations and correlated responses. The package includes fitting and prediction functions for both models, and an example dataset from a periodontal on Gullah-speaking African Americans, with responses in 'gaad_res', and covariates in 'gaad_cov'. For more details on the matrix-variate distributions used, see Gallaugher & McNicholas (2019) <doi:10.1016/j.spl.2018.08.012>.
How to cite:
Samuel Soon (2026). MVNGmod: Matrix-Variate Non-Gaussian Linear Regression Models. R package version 0.1.2, https://cran.r-project.org/web/packages/MVNGmod. Accessed 29 Oct. 2026.
Previous versions and publish date:
0.1.0 (2026-02-23 10:40), 0.1.1 (2026-06-04 16:10), 0.1.2 (2026-07-16 23:40), (2026-10-09 19:20)
Other packages that cited MVNGmod R package
View MVNGmod citation profile
Other R packages that MVNGmod depends, imports, suggests or enhances
Complete documentation for MVNGmod
Functions, R codes and Examples using the MVNGmod R package
Full MVNGmod package functions and examples
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