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acpbvar: Bayesian Structural VARs with Asymmetric Conjugate Priors

Implements Bayesian estimation of structural Vector Autoregressions in the asymmetric A-form of Chan (2022) <doi:10.3982/QE1381>, with an asymmetric Minnesota prior whose own-lag and cross-lag hyperparameters are selected by empirical Bayes via the closed-form marginal likelihood. Exact equation-by-equation posterior simulation in the structural form (independent Normal-Inverse-Gamma draws) provides posterior draws of the reduced-form parameters; structural identification through sign restrictions follows the algorithm of Rubio-Ramirez, Waggoner and Zha (2010) <doi:10.1111/j.1467-937X.2009.00578.x>. Impulse responses, posterior bands, and acceptance diagnostics are computed from the accepted draws.

Version: 0.2.0
Depends: R (≥ 4.0)
Imports: stats, utils, graphics, grDevices
Suggests: bsvarSIGNs, bsvars, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2026-10-31
DOI: 10.32614/CRAN.package.acpbvar (may not be active yet)
Author: Federica Ursillo [aut, cre]
Maintainer: Federica Ursillo <federica.ursillo at outlook.com>
BugReports: https://github.com/ursillofederica/acpbvar/issues
License: MIT + file LICENSE
URL: https://github.com/ursillofederica/acpbvar
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: acpbvar results

Documentation:

Reference manual: acpbvar.html , acpbvar.pdf
Vignettes: acpbvar on real data: the monetary policy shock of Uhlig (2005) (source, R code)
acpbvar: a complete workflow (source, R code)

Downloads:

Package source: acpbvar_0.2.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): acpbvar_0.2.0.tgz, r-oldrel (arm64): acpbvar_0.2.0.tgz, r-release (x86_64): acpbvar_0.2.0.tgz, r-oldrel (x86_64): acpbvar_0.2.0.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.
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