<?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 Mediation Analysis with High-Dimensional Data</dc:title>
  <dc:title>R package hdbma version 1.0</dc:title>
  <dc:description>Mediation analysis is used to identify and quantify intermediate effects from factors that intervene the observed relationship between an exposure/predicting variable and an outcome. We use a Bayesian adaptive lasso method to take care of the hierarchical structures and high dimensional exposures or mediators.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 2.14.1), R2jags,gplots,MASS,survival,splines</dc:relation>
  <dc:relation>Imports: lattice, methods</dc:relation>
  <dc:creator>Qingzhao Yu &lt;qyu@lsuhsc.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Qingzhao Yu [aut, cre, cph],
  Bin Li [aut]</dc:contributor>
  <dc:rights>GPL (&gt;= 2)</dc:rights>
  <dc:date>2023-12-15</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=hdbma</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.hdbma</dc:identifier>
</oai_dc:dc>