Matrix-Variate Skew Linear Regression Models R package MVSKmod version 0.1.0 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>. Software Depends: R (>= 3.5.0) Imports: Bessel, clusterGeneration, DistributionUtils, matlib, maxLik, truncnorm, pracma Samuel Soon <samksoon2@gmail.com> Comprehensive R Archive Network (CRAN) Samuel Soon [aut, cre], Dipankar Bandyopadhyay [aut], Qingyang Liu [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=MVSKmod/LICENSE) 2025-05-09 application/tgz https://CRAN.R-project.org/package=MVSKmod doi:10.32614/CRAN.package.MVSKmod