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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.

Type Size Name Uploaded Downloads Labels
conda 1.2 MB | noarch/r-bvar-1.0.4-r43h142f84f_0.tar.bz2  1 year and 1 month ago 20 main
conda 1.2 MB | noarch/r-bvar-1.0.3-r42h142f84f_0.tar.bz2  2 years and 8 months ago 57 main
conda 313.9 kB | noarch/r-bvar-0.1.5-r36h6115d3f_0.tar.bz2  5 years and 2 days ago 126 main

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