# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "MVNGmod" in publications use:' type: software license: MIT title: 'MVNGmod: Matrix-Variate Non-Gaussian Linear Regression Models' version: 0.1.0 doi: 10.32614/CRAN.package.MVNGmod abstract: 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) . authors: - family-names: Soon given-names: Samuel email: samksoon2@gmail.com - family-names: Bandyopadhyay given-names: Dipankar email: dbandyop@vcu.edu - family-names: Liu given-names: Qingyang email: qliu432@wisc.edu repository: https://soonsk-vcu.r-universe.dev repository-code: https://github.com/soonsk-vcu/MVNGmod commit: 4cf9742b10d3255fd0eeade3967783833496fce4 url: https://github.com/soonsk-vcu/MVNGmod date-released: '2026-02-18' contact: - family-names: Soon given-names: Samuel email: samksoon2@gmail.com