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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.

copied from cf-post-staging / r-bvar
Type Size Name Uploaded Downloads Labels
conda 1.1 MB | noarch/r-bvar-1.0.5-r44hc72bb7e_2.conda  7 days and 12 hours ago 44 main
conda 1.1 MB | noarch/r-bvar-1.0.5-r45hc72bb7e_2.conda  7 days and 12 hours ago 47 main
conda 1.1 MB | noarch/r-bvar-1.0.5-r44hc72bb7e_1.conda  1 year and 2 months ago 1011 main
conda 1.2 MB | noarch/r-bvar-1.0.5-r43hc72bb7e_1.conda  1 year and 2 months ago 997 main
conda 1.2 MB | noarch/r-bvar-1.0.5-r42hc72bb7e_0.conda  1 year and 7 months ago 1120 main
conda 1.2 MB | noarch/r-bvar-1.0.5-r43hc72bb7e_0.conda  1 year and 7 months ago 1198 main
conda 1.1 MB | noarch/r-bvar-1.0.4-r43hc72bb7e_0.conda  1 year and 9 months ago 1234 main
conda 1.1 MB | noarch/r-bvar-1.0.4-r42hc72bb7e_0.conda  1 year and 9 months ago 1216 main

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