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>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | Bessel, clusterGeneration, DistributionUtils, matlib, maxLik, truncnorm, pracma |
| Published: | 2025-05-09 |
| DOI: | 10.32614/CRAN.package.MVSKmod |
| Author: | Samuel Soon [aut, cre], Dipankar Bandyopadhyay [aut], Qingyang Liu [aut] |
| Maintainer: | Samuel Soon <samksoon2 at gmail.com> |
| BugReports: | https://github.com/soonsk-vcu/MVSKmod/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/soonsk-vcu/MVSKmod |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | MVSKmod results |
| Reference manual: | MVSKmod.html , MVSKmod.pdf |
| Package source: | MVSKmod_0.1.0.tar.gz |
| Windows binaries: | r-devel: MVSKmod_0.1.0.zip, r-release: MVSKmod_0.1.0.zip, r-oldrel: MVSKmod_0.1.0.zip |
| macOS binaries: | r-release (arm64): MVSKmod_0.1.0.tgz, r-oldrel (arm64): MVSKmod_0.1.0.tgz, r-release (x86_64): MVSKmod_0.1.0.tgz, r-oldrel (x86_64): MVSKmod_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=MVSKmod to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.