<?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>Multilevel Analysis of Individual Heterogeneity and
Discriminatory Accuracy</dc:title>
  <dc:title>R package MAIHDA version 0.2.1</dc:title>
  <dc:subject>CRAN Task View: MixedModels (https://CRAN.R-project.org/view=MixedModels)</dc:subject>
  <dc:description>Tools for Multilevel Analysis of Individual Heterogeneity and
    Discriminatory Accuracy (MAIHDA) for intersectional inequality research.
    Methods are described in Merlo (2018) &lt;doi:10.1016/j.socscimed.2017.12.026&gt;
    and Evans et al. (2018) &lt;doi:10.1016/j.socscimed.2017.11.011&gt;. The package
    creates intersectional strata, fits multilevel MAIHDA models, estimates
    variance partition coefficients, proportional change in variance, stratum
    effects, and discriminatory-accuracy summaries, and provides diagnostic and
    presentation plots.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: lme4 (&gt;= 1.1-27), reformulas, cli, ggplot2 (&gt;= 3.4.0), dplyr
(&gt;= 1.0.0), tidyr (&gt;= 1.1.0), generics, stats, rlang (&gt;=
0.4.0), patchwork, ggrepel, tidyselect, tibble</dc:relation>
  <dc:relation>Suggests: shiny, bslib (&gt;= 0.7.0), DT, future, promises, plotly, haven,
shinyjs, shinycssloaders, brms (&gt;= 2.15.0), WeMix (&gt;= 4.0.0),
ordinal, testthat (&gt;= 3.0.0), knitr, MASS, rmarkdown</dc:relation>
  <dc:creator>Hamid Bulut &lt;me@hamidbulut.com&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Hamid Bulut [aut, cre]</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=MAIHDA/LICENSE)</dc:rights>
  <dc:date>2026-07-09</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=MAIHDA</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.MAIHDA</dc:identifier>
</oai_dc:dc>
