Package: MVNGmod Type: Package Title: Matrix-Variate Non-Gaussian Linear Regression Models Version: 0.1.2 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: 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, ). License: MIT + file LICENSE Encoding: UTF-8 LazyData: true RoxygenNote: 7.3.3 Imports: Bessel, clusterGeneration, DistributionUtils, matlib, maxLik, truncnorm, pracma, matrixcalc, purrr URL: https://github.com/soonsk-vcu/MVNGmod BugReports: https://github.com/soonsk-vcu/MVNGmod/issues Suggests: knitr, rmarkdown VignetteBuilder: knitr NeedsCompilation: no Packaged: 2026-07-23 10:33:57 UTC; root Author: Samuel Soon [aut, cre], Dipankar Bandyopadhyay [aut], Qingyang Liu [aut] Depends: R (>= 3.5.0) Repository: https://cran.r-universe.dev Date/Publication: 2026-07-23 08:44:04 UTC RemoteUrl: https://github.com/cran/MVNGmod RemoteRef: HEAD RemoteSha: f1394ddb75543ef6f1a9447eb31684ee9c3b2d0d