<?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>Graphical Analysis of Structural Causal Models</dc:title>
  <dc:title>R package dagitty version 0.3-4</dc:title>
  <dc:subject>CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference)</dc:subject>
  <dc:description>A port of the web-based software 'DAGitty', available at 
    &lt;https://dagitty.net&gt;, for analyzing structural causal models 
    (also known as directed acyclic graphs or DAGs).
    This package computes covariate adjustment sets for estimating causal
    effects, enumerates instrumental variables, derives testable
    implications (d-separation and vanishing tetrads), generates equivalent
    models, and includes a simple facility for data simulation. </dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.0.0)</dc:relation>
  <dc:relation>Imports: V8, jsonlite, boot, MASS, methods, grDevices, stats, utils,
graphics</dc:relation>
  <dc:relation>Suggests: igraph, knitr, base64enc (&gt;= 0.1-3), testthat, markdown,
rmarkdown, lavaan, CCP, fastDummies</dc:relation>
  <dc:creator>Johannes Textor &lt;johannes.textor@gmx.de&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Johannes Textor, Benito van der Zander, Ankur Ankan</dc:contributor>
  <dc:rights>GPL-2</dc:rights>
  <dc:date>2023-12-07</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=dagitty</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.dagitty</dc:identifier>
</oai_dc:dc>
