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MVSKmod

0.1.0Package record

Matrix-Variate Skew Linear Regression Models

0packages depend
5.8Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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

CRAN checks
13OK
Slowest check: 1.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
Show 2 earlier changesHide 2 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 0 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
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

5.8K
CRAN downloads in the past year
Rank #6,671 · ~16/day · ~485/mo
Daily download trend is not available in this view yet.
59530 days
1.3K90 days
5.8K1 year
Compare downloads with other packages →
Also on66 r2u

Repository

Moved from soonsk-vcu/mvskmod.

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-02-18
Responsiveness
not measured
PracticesBeta

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.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing MVSKmod adds 96 packages (50 with compiled code, 81 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 0.1.0 (2025)
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2025-05-09 · current release
  • R
    R 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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MVSKmod")
Soon, S., Bandyopadhyay, D., & Liu, Q. (2025). MVSKmod: Matrix-Variate Skew Linear Regression Models (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.MVSKmod

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MVSKmod version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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