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 (may not be active yet)
Author: Gavin Collins [aut, ctb], J. Derek Tucker ORCID iD [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

Documentation:

Reference manual: mvBayes.html , mvBayes.pdf
Vignettes: friedman_demo (source, R code)

Downloads:

Package source: mvBayes_1.2.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): mvBayes_1.2.1.tgz, r-oldrel (arm64): mvBayes_1.2.1.tgz, r-release (x86_64): mvBayes_1.2.1.tgz, r-oldrel (x86_64): mvBayes_1.2.1.tgz

Linking:

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