https://soonsk-vcu.r-universe.devRecent package updates in soonsk-vcuR-universehttps://github.com/soonsk-vcu.pnghttps://soonsk-vcu.r-universe.devWed, 18 Feb 2026 21:30:13 GMTsamksoon2@gmail.com (Samuel Soon)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>.https://github.com/r-universe/soonsk-vcu/actions/runs/28671099463Wed, 18 Feb 2026 21:30:13 GMTMVNGmod0.1.0successhttps://soonsk-vcu.r-universe.devhttps://github.com/soonsk-vcu/mvngmod