The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Provides a comprehensive toolkit for conducting Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA). Methods are described in Merlo (2018) <doi:10.1016/j.socscimed.2017.12.018> and Evans et al. (2018) <doi:10.1016/j.socscimed.2017.11.011>. Automatically generates intersectional strata, fits analytical models, extracts statistics, and produces visualizations.
| Version: | 0.1.7 |
| Depends: | R (≥ 4.1.0) |
| Imports: | lme4 (≥ 1.1-27), ggplot2 (≥ 3.3.0), dplyr (≥ 1.0.0), tidyr (≥ 1.1.0), stats, rlang (≥ 0.4.0) |
| Suggests: | shiny, bslib, DT, future, promises, haven, shinyjs, brms (≥ 2.15.0), testthat (≥ 3.0.0), shinytest2, knitr, rmarkdown, boot (≥ 1.3-20) |
| Published: | 2026-04-05 |
| 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 |
| Materials: | README, NEWS |
| CRAN checks: | MAIHDA results |
| Reference manual: | MAIHDA.html , MAIHDA.pdf |
| Vignettes: |
Introduction to MAIHDA (source, R code) |
| Package source: | MAIHDA_0.1.7.tar.gz |
| Windows binaries: | r-devel: MAIHDA_0.1.7.zip, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): MAIHDA_0.1.7.tgz, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
| Old sources: | MAIHDA archive |
Please use the canonical form https://CRAN.R-project.org/package=MAIHDA to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.