<?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>Bayesian Meta-Analysis via 'Stan'</dc:title>
  <dc:title>R package MetaStan version 1.0.0</dc:title>
  <dc:subject>CRAN Task View: MetaAnalysis (https://CRAN.R-project.org/view=MetaAnalysis)</dc:subject>
  <dc:description>Performs Bayesian meta-analysis, meta-regression and model-based meta-analysis 
             using 'Stan'. Includes binomial-normal hierarchical models and option to use 
             weakly informative priors for the heterogeneity parameter and the treatment effect 
             parameter which are described in Guenhan, Roever, and Friede (2020) &lt;doi:10.1002/jrsm.1370&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5.0)</dc:relation>
  <dc:relation>Imports: Rcpp (&gt;= 0.12.17), methods, rstan (&gt;= 2.18.1), rstantools (&gt;=
1.5.0), loo (&gt;= 2.0), forestplot (&gt;= 1.6), metafor (&gt;= 2.0-0),
HDInterval, coda</dc:relation>
  <dc:relation>LinkingTo: StanHeaders (&gt;= 2.18.0), rstan (&gt;= 2.18.1), BH (&gt;=
1.66.0-1), Rcpp (&gt;= 0.12.17), RcppEigen (&gt;= 0.3.3.4.0),
RcppParallel (&gt;= 5.0.1),</dc:relation>
  <dc:relation>Suggests: testthat, knitr, rmarkdown, ggplot2, shinystan, vdiffr</dc:relation>
  <dc:creator>Burak Kuersad Guenhan &lt;burakgunhan@gmail.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Burak Kuersad Guenhan [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-7454-8680&gt;),
  Christian Roever [aut] (ORCID: &lt;https://orcid.org/0000-0002-6911-698X&gt;),
  Trustees of Columbia University [cph] (src/init.cpp, tools/make_cpp.R,
    R/stanmodels.R)</dc:contributor>
  <dc:rights>GPL (&gt;= 3)</dc:rights>
  <dc:date>2022-01-22</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=MetaStan</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.MetaStan</dc:identifier>
</oai_dc:dc>
