<?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>Ancestor Regression</dc:title>
  <dc:title>R package AncReg version 1.0.1</dc:title>
  <dc:description>Causal discovery in linear structural equation models (Schultheiss, and Bühlmann (2023) &lt;doi:10.1093/biomet/asad008&gt;) and vector autoregressive models (Schultheiss, Ulmer, and Bühlmann (2025) &lt;doi:10.1515/jci-2024-0011&gt;) with explicit error control for false discovery, at least asymptotically.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Imports: tsutils, Rdpack, methods</dc:relation>
  <dc:relation>Suggests: pcalg, MASS, igraph, testthat (&gt;= 3.0.0)</dc:relation>
  <dc:creator>Markus Ulmer &lt;markus.ulmer@stat.math.ethz.ch&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Christoph Schultheiss [aut],
  Markus Ulmer [aut, cre, cph] (ORCID:
    &lt;https://orcid.org/0000-0001-7783-8475&gt;)</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2025-07-16</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=AncReg</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.AncReg</dc:identifier>
</oai_dc:dc>
