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MAIHDA

0.2.1

Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy

1packages depend
2.1Kdownloads / year
87.4%test coverage
13/13checks pass

Overview

About
Maintained by Hamid BulutFirst published 2026-04-036 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 10.2 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.64
87.4%
Coverage · measured lines
100%
Documentation · exports
13
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-07-23
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-07-11
    10 OK · 0 NOTE · 0 WARNING · 3 ERROR · 0 FAILURE
  • OK2026-04-04
    5 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 1,634 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
34%
Documented parameters
99%
Return-value docs
96%
References docs
7%

Downloads

2.1K
CRAN downloads in the past year
Rank #6,011 · ~6/day · ~175/mo
Daily download trend is not available in this view yet.
29130 days
1.4K90 days
2.1K1 year
Compare downloads with other packages →
Also on89 r2u10 autocran

Repository

Repository
1Stars
0Forks
4Open issues
4Open PRs
3Releases
382Commits
1Contributors
382 commits · Last activity 2026-08-14 · 0% stars, 30d

Stars over time

2026-06-24 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

4 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/hdbt/maihda on 2026-08-09.

Continuous integration (1)
GitHub Actions
Reproducibility and dev environment (1)
data-raw/
CRAN release process (1)
cran-comments.md
Automation and maintenance (1)
Dependabot
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
27 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

6 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 0.2.1Latest
    2026-07-10 · current release · diff ↗
  • 0.2.0
    2026-07-02 · diff ↗
  • 0.1.11
    2026-06-18 · diff ↗
  • 0.1.8
    2026-05-16 · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.7
    2026-04-05 · diff ↗
  • 0.1.0
    2026-04-03
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-04-03
Total releases
6 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Bundled data
52 KB / 5 files
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MAIHDA")
Bulut, H. (2026). MAIHDA: Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (Version 0.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.MAIHDA

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MAIHDA version 0.2.1 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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