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Nikolas Kuschnig committed Nov 25, 2021
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Expand Up @@ -5,7 +5,7 @@ BVAR: Hierarchical Bayesian Vector Autoregression
[![CRAN](https://www.r-pkg.org/badges/version/BVAR)](https://cran.r-project.org/package=BVAR)
[![codecov](https://codecov.io/gh/nk027/bvar/branch/master/graph/badge.svg)](https://app.codecov.io/gh/nk027/bvar)
[![month](https://cranlogs.r-pkg.org/badges/BVAR)](https://www.r-pkg.org/pkg/BVAR)
[![total](https://cranlogs.r-pkg.org/badges/grand-total/BVAR)](http://www.r-pkg.org/pkg/BVAR)
[![total](https://cranlogs.r-pkg.org/badges/grand-total/BVAR)](https://www.r-pkg.org/pkg/BVAR)

Estimation of hierarchical Bayesian vector autoregressive models following Kuschnig & Vashold (2021). Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Functions to calculate forecasts, and compute and identify impulse responses and forecast error variance decompositions are available. Several methods to print, plot and summarise results facilitate analysis.

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