<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Tidy Bayesian Vector Autoregression</dc:title>
  <dc:title>R package BVARverse version 0.0.1</dc:title>
  <dc:description>Functions to prepare tidy objects from estimated models via 'BVAR'
    (see Kuschnig &amp; Vashold, 2019 &lt;doi:10.13140/RG.2.2.25541.60643&gt;) and
    visualisation thereof. Bridges the gap between estimating models with 'BVAR'
    and plotting the results in a more sophisticated way with 'ggplot2' as well
    as passing them on in a tidy format. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0), BVAR</dc:relation>
  <dc:relation>Imports: ggplot2, tidyr, generics, rlang</dc:relation>
  <dc:relation>Suggests: tinytest</dc:relation>
  <dc:creator>Lukas Vashold &lt;lukas.vashold@wu.ac.at&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Lukas Vashold [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-3562-3414&gt;),
  Nikolas Kuschnig [aut] (ORCID: &lt;https://orcid.org/0000-0002-6642-2543&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2020-09-22</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=BVARverse</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.BVARverse</dc:identifier>
</oai_dc:dc>
