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 <samksoon2@gmail.com>
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) <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
URL: https://github.com/soonsk-vcu/MVNGmod
BugReports: https://github.com/soonsk-vcu/MVNGmod/issues
NeedsCompilation: no
Packaged: 2026-02-18 21:35:46 UTC; soonsk
Author: Samuel Soon [aut, cre],
  Dipankar Bandyopadhyay [aut],
  Qingyang Liu [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2026-02-23 09:40:02 UTC
Built: R 4.6.0; ; 2026-04-25 14:05:02 UTC; unix
