r-bvar 1.0.5
Propagated dependencies: r-mvtnorm@1.3-2
Channel: guix-cran
Home page: https://github.com/nk027/bvar
Licenses: GPL 3 FSDG-compatible
Synopsis: Hierarchical Bayesian Vector Autoregression
Description:
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.
Total results: 4