<?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>Test Robustness with Directed Acyclic Graphs</dc:title>
  <dc:title>R package DAGassist version 0.2.8</dc:title>
  <dc:description>Provides robustness checks to align estimands with the identification 
    that they require. Given a 'dagitty' object and a model specification, 
    'DAGassist' classifies variables by causal roles, recovers a target estimand, 
    and generates a report comparing the original model with DAG-derived
    adjustment sets. Exports publication-grade reports in 'LaTeX', 'Word', 'Excel',
    'dotwhisker', or plain text/'markdown'. 'DAGassist' is built on 'dagitty', an 
    'R' package that uses the 'DAGitty' web tool (&lt;https://dagitty.net/&gt;) for 
    creating and analyzing DAGs. Methods draw on Pearl (2009) &lt;doi:10.1017/CBO9780511803161&gt;
    and Textor et al. (2016) &lt;doi:10.1093/ije/dyw341&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5)</dc:relation>
  <dc:relation>Imports: broom, cli, crayon, dagitty, magrittr, stats, tools, utils,
writexl, dplyr, ggplot2, dotwhisker</dc:relation>
  <dc:relation>Suggests: devtools, fixest, ggdag, knitr, modelsummary, rmarkdown,
testthat (&gt;= 3.0.0), tidyverse, DiagrammeR, marginaleffects,
WeightIt, DirectEffects, lme4</dc:relation>
  <dc:creator>Graham Goff &lt;goffgrahamc@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Graham Goff [aut, cre] (ORCID: &lt;https://orcid.org/0000-0002-0717-6995&gt;),
  Michael Denly [aut] (ORCID: &lt;https://orcid.org/0000-0002-7074-5011&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-02-20</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=DAGassist</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.DAGassist</dc:identifier>
</oai_dc:dc>
