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APRScenario: Structural Scenario Analysis for Bayesian Structural Vector Autoregression Models

Implements the scenario analysis proposed by Antolin-Diaz, Petrella and Rubio-Ramirez (2021) "Structural scenario analysis with SVARs" <doi:10.1016/j.jmoneco.2020.06.001>.

Version: 0.0.3.0
Depends: R (≥ 4.1.0)
Imports: dplyr, ggplot2, lubridate, parallel, MASS, tidyr, abind, psych, Rcpp (≥ 1.0.12), RcppProgress
LinkingTo: Rcpp, RcppArmadillo, RcppProgress
Suggests: bsvars, bsvarSIGNs, devtools, ggfortify, gridExtra, zoo, knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-07-24
DOI: 10.32614/CRAN.package.APRScenario
Author: Giovanni Lombardo [aut, cre]
Maintainer: Giovanni Lombardo <giannilmbd at gmail.com>
License: GPL (≥ 3)
NeedsCompilation: yes
SystemRequirements: LAPACK
Materials: README
CRAN checks: APRScenario results

Documentation:

Reference manual: APRScenario.html , APRScenario.pdf
Vignettes: APRScenario vignette (source, R code)

Downloads:

Package source: APRScenario_0.0.3.0.tar.gz
Windows binaries: r-devel: not available, r-release: APRScenario_0.0.3.0.zip, r-oldrel: APRScenario_0.0.3.0.zip
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): APRScenario_0.0.3.0.tgz, r-oldrel (x86_64): APRScenario_0.0.3.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=APRScenario to link to this page.

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.