Package: mvBayes 1.2.1.9000

J. Derek Tucker

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>).

Authors:Gavin Collins [aut, ctb], J. Derek Tucker [ctb, cre], Sandia National Laboratories [cph, fnd]

mvBayes_1.2.1.9000.tar.gz
mvBayes_1.2.1.9000.zip(r-4.7)mvBayes_1.2.1.9000.zip(r-4.6)mvBayes_1.2.1.9000.zip(r-4.5)
mvBayes_1.2.1.9000.tgz(r-4.6-any)mvBayes_1.2.1.9000.tgz(r-4.5-any)
mvBayes_1.2.1.9000.tar.gz(r-4.7-any)mvBayes_1.2.1.9000.tar.gz(r-4.6-any)
mvBayes_1.2.1.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mvBayes/json (API)
NEWS

# Install 'mvBayes' in R:
install.packages('mvBayes', repos = c('https://sandialabs.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sandialabs/mvbayesr/issues

On CRAN:

Conda:

scr-3281snl-data-analysis

5.18 score 3 stars 7 exports 10 dependencies

Last updated from:381df5ecf1. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK152
source / vignettesOK265
linux-release-x86_64OK168
macos-release-arm64OK129
macos-oldrel-arm64OK167
windows-develOK129
windows-releaseOK86
windows-oldrelOK83
wasm-releaseOK130

Exports:basisSetupbasisSetupElasticmvBayesmvBayesElasticmvCVmvSoboltraceplot

Dependencies:BASSclicontfracdeSolveellipticevdhypergeolatex2expMASStruncdist

friedman_demo

Rendered fromfriedman_demo.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2026-05-16
Started: 2026-05-16