<?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>High-Dimensional Mediation Analysis</dc:title>
  <dc:title>R package HIMA version 2.3.3</dc:title>
  <dc:subject>CRAN Task View: CausalInference (https://CRAN.R-project.org/view=CausalInference)</dc:subject>
  <dc:subject>CRAN Task View: Epidemiology (https://CRAN.R-project.org/view=Epidemiology)</dc:subject>
  <dc:description>Allows to estimate and test high-dimensional mediation effects based on advanced mediator screening and penalized regression techniques. Methods used in the package refer to Zhang H, Zheng Y, Hou L, Liu L, HIMA: An R Package for High-Dimensional Mediation Analysis. Journal of Data Science. (2025). &lt;doi:10.6339/25-JDS1192&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.5), ncvreg, glmnet</dc:relation>
  <dc:relation>Imports: utils, stats, MASS, survival, nlme, HDMT, hdi, conquer,
quantreg, hommel, iterators, parallel, foreach, doParallel</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat</dc:relation>
  <dc:creator>Yinan Zheng &lt;y-zheng@northwestern.edu&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Yinan Zheng [aut, cre] (ORCID: &lt;https://orcid.org/0000-0002-2006-7320&gt;),
  Haixiang Zhang [aut],
  Lifang Hou [aut],
  Lei Liu [aut, cph]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2025-11-17</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=HIMA</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.HIMA</dc:identifier>
</oai_dc:dc>
