About Anaconda Help Download Anaconda
If you were automatically logged out you may need to refresh the page. You're trying to access a page that requires authentication. ×

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.

copied from cf-staging / r-bvar
Label Latest Version
main 1.0.5

© 2025 Anaconda, Inc. All Rights Reserved. (v4.0.7) Legal | Privacy Policy