MVNGmod
Matrix-Variate Non-Gaussian Linear Regression Models
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | MVNGmod_0.1.0.tar.gz |
143.0 KiB |
0.1.0 |
rolling linux/noble R-4.5 | MVNGmod_0.1.0.tar.gz |
143.1 KiB |
0.1.0 |
rolling source/ R- | MVNGmod_0.1.0.tar.gz |
73.5 KiB |
0.1.0 |
latest linux/jammy R-4.5 | MVNGmod_0.1.0.tar.gz |
143.0 KiB |
0.1.0 |
latest linux/noble R-4.5 | MVNGmod_0.1.0.tar.gz |
143.1 KiB |
0.1.0 |
latest source/ R- | MVNGmod_0.1.0.tar.gz |
73.5 KiB |
0.1.0 |
2026-04-26 source/ R- | MVNGmod_0.1.0.tar.gz |
73.5 KiB |
0.1.0 |
2026-04-23 source/ R- | MVNGmod_0.1.0.tar.gz |
73.5 KiB |
0.1.0 |
2026-04-09 windows/windows R-4.5 | MVNGmod_0.1.0.zip |
146.3 KiB |