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bvarnet: Bayesian Estimation of Dynamic VAR Models using STAN

Bayesian estimation of multilevel Vector Autoregression (VAR) models using Stan. Supports Gaussian, Binary, and Ordinal (adjacent category) outcome variables with random effects and customizable priors.

Version: 1.0.0
Depends: R (≥ 3.5)
Imports: instantiate, logspline, mvtnorm, posterior
Suggests: cmdstanr, bayesplot, knitr, qgraph, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-05-27
DOI: 10.32614/CRAN.package.bvarnet
Author: Florian Metwaly ORCID iD [aut, cre, cph]
Maintainer: Florian Metwaly <f.j.metwaly at uva.nl>
BugReports: https://github.com/flo1met/bvarnet/issues
License: GPL (≥ 3)
URL: https://flo1met.github.io/bvarnet/, https://github.com/flo1met/bvarnet
NeedsCompilation: yes
Additional_repositories: https://mc-stan.org/r-packages/
Citation: bvarnet citation info
Materials: README, NEWS
In views: TimeSeries
CRAN checks: bvarnet results

Documentation:

Reference manual: bvarnet.html , bvarnet.pdf
Vignettes: Hypothesis-Testing (source)
MCMC-Diagnostics (source)
Missing-Data (source)
Mixed-Model (source)
Random-Effects (source)
bvarnet (source)

Downloads:

Package source: bvarnet_1.0.0.tar.gz
Windows binaries: r-devel: bvarnet_1.0.0.zip, r-release: bvarnet_1.0.0.zip, r-oldrel: bvarnet_1.0.0.zip
macOS binaries: r-release (arm64): bvarnet_1.0.0.tgz, r-oldrel (arm64): bvarnet_1.0.0.tgz, r-release (x86_64): bvarnet_1.0.0.tgz, r-oldrel (x86_64): bvarnet_1.0.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.