<?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>Cross-Design &amp; Cross-Format Network Meta-Analysis and Regression</dc:title>
  <dc:title>R package crossnma version 1.3.1</dc:title>
  <dc:subject>CRAN Task View: MetaAnalysis (https://CRAN.R-project.org/view=MetaAnalysis)</dc:subject>
  <dc:description>Network meta-analysis and meta-regression (allows
  including up to three covariates) for individual participant data,
  aggregate data, and mixtures of both formats using the three-level
  hierarchical model. Each format can come from randomized controlled
  trials or non-randomized studies or mixtures of both. Estimates are
  generated in a Bayesian framework using JAGS. The implemented models
  are described by Hamza et al. 2023 &lt;DOI:10.1002/jrsm.1619&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.0.0), meta (&gt;= 8.5-0), netmeta (&gt;= 3.5-0)</dc:relation>
  <dc:relation>Imports: rjags, coda, dplyr, plyr, rlang, magrittr, tidyr, ggplot2</dc:relation>
  <dc:relation>Suggests: rmarkdown, knitr</dc:relation>
  <dc:creator>Guido Schwarzer &lt;guido.schwarzer@uniklinik-freiburg.de&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Tasnim Hamza [aut] (ORCID: &lt;https://orcid.org/0000-0002-4700-6990&gt;),
  Guido Schwarzer [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0001-6214-9087&gt;),
  Georgia Salanti [aut] (ORCID: &lt;https://orcid.org/0000-0002-3830-8508&gt;)</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2026-06-19</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=crossnma</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.crossnma</dc:identifier>
</oai_dc:dc>
