Matrix-Variate Skew Linear Regression Models
Overview
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.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
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- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 10
- Examples that run
- 90%9 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
Moved from soonsk-vcu/mvskmod.
1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/soonsk-vcu/mvskmod on 2026-10-18.
Dependencies
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2025-05-09 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-05-09
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 63 KB / 1 file
- Download size
- 73 KB
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