<?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>Order Selection in Vector Autoregression by Mean Square
Information Criteria</dc:title>
  <dc:title>R package micvar version 0.1.0</dc:title>
  <dc:description>Implements order selection for Vector Autoregressive (VAR) models using the Mean Square Information Criterion (MIC). Unlike standard methods such as AIC and BIC, MIC is likelihood-free. This method consistently estimates VAR order and has robust performance under model misspecification. For more details, see Hellstern and Shojaie (2025) &lt;doi:10.48550/arXiv.2511.19761&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: MASS, matrixcalc, Rdpack, stats</dc:relation>
  <dc:creator>Michael Hellstern &lt;mikeh1@uw.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Michael Hellstern [aut, cre]</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2025-12-08</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=micvar</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.micvar</dc:identifier>
</oai_dc:dc>
