BVAR

Hierarchical Bayesian Vector Autoregression

CRAN Package

Estimation of hierarchical Bayesian vector autoregressive models following Kuschnig & Vashold (2021) doi:10.18637/jss.v100.i14. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015) doi:10.1162/REST_a_00483. Functions to compute and identify impulse responses, calculate forecasts, forecast error variance decompositions and scenarios are available. Several methods to print, plot and summarise results facilitate analysis.


Documentation


Team


Insights

Last 30 days

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports1 package
  • Suggests3 packages
  • Reverse Depends1 package