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MVSKmod  

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


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

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

Install by package version:
library("remotes")
install_version("MVSKmod", "0.1.0")



Attach the package and use:
library("MVSKmod")
Maintained by
Samuel Soon
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-05-09
Latest Update: 2025-05-09
Description:
An implementation of the alternating expectation conditional maximization (AECM) 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 (2025). MVSKmod: Matrix-Variate Skew Linear Regression Models. R package version 0.1.0, https://cran.r-project.org/web/packages/MVSKmod. Accessed 24 Oct. 2026.
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Complete documentation for MVSKmod
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Full MVSKmod package functions and examples
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