Toolkit for the estimation of hierarchical Bayesian vector autoregressions. Implements hierarchical prior selection for conjugate priors in the fashion of Giannone, Lenza & Primiceri (2015). Allows for the computation of impulse responses and forecasts and provides functionality for assessing results.
Right now we average over T, in the future we should provide them per horizon. Then it makes sense to offer some plotting methods (e.g. stacked bars).