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 <samksoon2@gmail.com>
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, <doi:10.1016/j.spl.2018.08.012>).
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: 2026-07-16 21:26:36 UTC; soonsk
Author: Samuel Soon [aut, cre],
  Dipankar Bandyopadhyay [aut],
  Qingyang Liu [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-07-16 21:40:02 UTC
Built: R 4.5.2; ; 2026-07-17 02:51:00 UTC; unix
