mvBayes: Multivariate Bayesian Regression
Fit, plot, and predict a multivariate response, using an arbitrary
univariate Bayesian regression model to independently fit basis components
(e.g., principal components) of the response (Francom et al., 2025 <doi:10.1137/24M1644092>).
| Version: |
1.2.1 |
| Imports: |
MASS, methods, BASS, latex2exp, cli, splines |
| Suggests: |
fdasrvf, BayesPPR, knitr, rmarkdown |
| Published: |
2026-06-01 |
| DOI: |
10.32614/CRAN.package.mvBayes |
| Author: |
Gavin Collins [aut, ctb],
J. Derek Tucker 
[ctb, cre],
Sandia National Laboratories [cph, fnd] |
| Maintainer: |
J. Derek Tucker <jdtuck at sandia.gov> |
| BugReports: |
https://github.com/sandialabs/mvBayesR/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/sandialabs/mvBayesR |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
mvBayes results |
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