Package: bayesianVARs Title: MCMC Estimation of Bayesian Vectorautoregressions Version: 0.1.8.9000 Authors@R: c( person("Luis", "Gruber", , "Luis.Gruber@aau.at", role = c("cph", "aut", "cre"), comment = c(ORCID = "0000-0002-2399-738X")), person("Stefan", "Haan", , "sthaan@edu.aau.at", role = "aut"), person("Gregor", "Kastner", , "gregor.kastner@aau.at", role = c("aut", "ths"), comment = c(ORCID = "0000-0002-8237-8271")) ) Description: Efficient Markov Chain Monte Carlo (MCMC) algorithms for the fully Bayesian estimation of vectorautoregressions (VARs) featuring stochastic volatility (SV). Implements state-of-the-art shrinkage priors following Gruber & Kastner (2025) . Efficient equation-per-equation estimation following Kastner & Huber (2020) and Carrerio et al. (2021) . License: GPL (>= 3) URL: https://github.com/luisgruber/bayesianVARs, https://luisgruber.github.io/bayesianVARs/ BugReports: https://github.com/luisgruber/bayesianVARs/issues Depends: R (>= 3.5.0) Imports: colorspace, factorstochvol (>= 1.1.0), GIGrvg (>= 0.7), graphics, MASS, mvtnorm, Rcpp (>= 1.0.0), scales, stats, stochvol (>= 3.0.3), utils Suggests: coda, knitr, quarto, rmarkdown, testthat (>= 3.0.0), lpSolveAPI, bsvarSIGNs LinkingTo: factorstochvol, Rcpp, RcppArmadillo, RcppProgress, stochvol, lpSolveAPI VignetteBuilder: knitr, quarto Config/testthat/edition: 3 Encoding: UTF-8 LazyData: true Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.3 Repository: https://luisgruber.r-universe.dev Date/Publication: 2026-03-03 15:03:57 UTC RemoteUrl: https://github.com/luisgruber/bayesianvars RemoteRef: HEAD RemoteSha: d4cf1f05214ed05eb6f93586df4030d3e8488529 NeedsCompilation: yes Packaged: 2026-07-05 10:22:18 UTC; root Author: Luis Gruber [cph, aut, cre] (ORCID: ), Stefan Haan [aut], Gregor Kastner [aut, ths] (ORCID: ) Maintainer: Luis Gruber