Package: MVSKmod
Type: Package
Title: Matrix-Variate Skew 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 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>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.1
Imports: Bessel, clusterGeneration, DistributionUtils, matlib, maxLik,
        truncnorm, pracma
URL: https://github.com/soonsk-vcu/MVSKmod
BugReports: https://github.com/soonsk-vcu/MVSKmod/issues
NeedsCompilation: no
Packaged: 2025-05-07 19:56:27 UTC; soonsk
Author: Samuel Soon [aut, cre],
  Dipankar Bandyopadhyay [aut],
  Qingyang Liu [aut]
Depends: R (>= 3.5.0)
Repository: CRAN
Date/Publication: 2025-05-09 14:10:13 UTC
Built: R 4.6.0; ; 2026-05-01 02:05:11 UTC; unix
