Package: MVNGmod Type: Package Title: Matrix-Variate Non-Gaussian Linear Regression Models Version: 0.1.0 Authors@R: c(person("Samuel", "Soon", , "samksoon2@gmail.com", role = c("aut", "cre"), comment = c()), person("Dipankar", "Bandyopadhyay", , "dbandyop@vcu.edu", role = c("aut"), comment = c()), person("Qingyang", "Liu", , "qliu432@wisc.edu", role = c("aut"), comment = c())) Maintainer: Samuel Soon 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) . License: MIT + file LICENSE Encoding: UTF-8 LazyData: true Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 Imports: Bessel, clusterGeneration, DistributionUtils, matlib, maxLik, truncnorm, pracma URL: https://github.com/soonsk-vcu/MVNGmod BugReports: https://github.com/soonsk-vcu/MVNGmod/issues Config/pak/sysreqs: cmake libfreetype6-dev libglu1-mesa-dev libgmp3-dev make texlive libicu-dev libpng-dev libuv1-dev libmpfr-dev libgl1-mesa-dev zlib1g-dev Repository: https://soonsk-vcu.r-universe.dev Date/Publication: 2026-02-18 21:30:13 UTC RemoteUrl: https://github.com/soonsk-vcu/mvngmod RemoteRef: HEAD RemoteSha: 4cf9742b10d3255fd0eeade3967783833496fce4 NeedsCompilation: no Packaged: 2026-07-03 15:57:17 UTC; root Author: Samuel Soon [aut, cre], Dipankar Bandyopadhyay [aut], Qingyang Liu [aut] Depends: R (>= 3.5.0)