Tools for Multilevel Analysis of Individual Heterogeneity and
Discriminatory Accuracy (MAIHDA) for intersectional inequality research.
Methods are described in Merlo (2018) <doi:10.1016/j.socscimed.2017.12.026>
and Evans et al. (2018) <doi:10.1016/j.socscimed.2017.11.011>. 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.
| Version: |
0.2.1 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
lme4 (≥ 1.1-27), reformulas, cli, ggplot2 (≥ 3.4.0), dplyr (≥ 1.0.0), tidyr (≥ 1.1.0), generics, stats, rlang (≥
0.4.0), patchwork, ggrepel, tidyselect, tibble |
| Suggests: |
shiny, bslib (≥ 0.7.0), DT, future, promises, plotly, haven, shinyjs, shinycssloaders, brms (≥ 2.15.0), WeMix (≥ 4.0.0), ordinal, testthat (≥ 3.0.0), knitr, MASS, rmarkdown |
| Published: |
2026-07-09 |
| DOI: |
10.32614/CRAN.package.MAIHDA |
| Author: |
Hamid Bulut [aut, cre] |
| Maintainer: |
Hamid Bulut <me at hamidbulut.com> |
| BugReports: |
https://github.com/hdbt/MAIHDA/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/hdbt/MAIHDA, https://hdbt.github.io/MAIHDA/ |
| NeedsCompilation: |
no |
| Citation: |
MAIHDA citation info |
| Materials: |
README, NEWS |
| In views: |
MixedModels |
| CRAN checks: |
MAIHDA results |