Package: MAIHDA 0.1.11

MAIHDA: Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy

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.2017.12.026> 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.

Authors:Hamid Bulut [aut, cre]

MAIHDA_0.1.11.tar.gz
MAIHDA_0.1.11.zip(r-4.7)MAIHDA_0.1.11.zip(r-4.6)MAIHDA_0.1.11.zip(r-4.5)
MAIHDA_0.1.11.tgz(r-4.6-any)MAIHDA_0.1.11.tgz(r-4.5-any)
MAIHDA_0.1.11.tar.gz(r-4.7-any)MAIHDA_0.1.11.tar.gz(r-4.6-any)
MAIHDA_0.1.11.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MAIHDA/json (API)
NEWS

# Install 'MAIHDA' in R:
install.packages('MAIHDA', repos = c('https://hdbt.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hdbt/maihda/issues

Pkgdown/docs site:https://hdbt.github.io

Datasets:

On CRAN:

Conda:

5.97 score 17 scripts 503 downloads 25 exports 44 dependencies

Last updated from:adb56d5f35. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK294
source / vignettesOK253
linux-release-x86_64OK327
macos-release-arm64OK200
macos-oldrel-arm64OK143
windows-develOK234
windows-releaseOK263
windows-oldrelOK226
wasm-releaseOK172

Exports:calculate_pvccompare_maihdacompare_maihda_groupscompute_maihda_ternary_datafit_maihdaglancemaihdamaihda_aucmaihda_cumulativemaihda_discriminatory_accuracymaihda_icmaihda_interactionsmaihda_mormaihda_tablemaihda_ternary_plotmaihda_vpc_responsemake_strataplot_comparisonplot_group_comparisonplot_maihda_ternaryplot_prediction_deviation_panelspredict_maihdarun_maihda_appstepwise_pcvtidy

Dependencies:bootclicpp11dplyrfarvergenericsggplot2ggrepelgluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixminqanlmenloptrpatchworkpillarpkgconfigpurrrR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Bayesian MAIHDA for sparse intersections

Hamid Bulut

Rendered frombayesian_sparse_maihda.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2026-06-17
Started: 2026-06-15

Comparing Intersectional Inequality Across Groups

Hamid Bulut

Rendered fromgroup_comparison.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2026-06-10
Started: 2026-06-03

Crossed random effects in MAIHDA: dimensions and contexts

Hamid Bulut

Rendered fromcross_classified.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2026-06-17
Started: 2026-06-11

Finding interaction patterns

Hamid Bulut

Rendered fromfinding_interactions.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2026-06-17
Started: 2026-06-15

Interactive Data Analysis with MAIHDA

Hamid Bulut

Rendered frominteractive_app.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2026-06-10
Started: 2026-04-05

Interpreting MAIHDA Plots and Diagnostics

Hamid Bulut

Rendered frominterpreting_plots.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2026-06-17
Started: 2026-06-06

Introduction to MAIHDA

Hamid Bulut

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2026-06-17
Started: 2026-01-25

Longitudinal MAIHDA: intersectional inequalities over time

Hamid Bulut

Rendered fromlongitudinal.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2026-06-17
Started: 2026-06-14

MAIHDA for Binary Outcomes (Discriminatory Accuracy)

Hamid Bulut

Rendered frombinary_outcomes.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2026-06-11
Started: 2026-06-06

Planning a MAIHDA analysis

Hamid Bulut

Rendered fromplanning_a_study.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2026-06-18
Started: 2026-06-15

Reporting MAIHDA results: tidy output and publication tables

Hamid Bulut

Rendered fromreporting_results.Rmdusingknitr::rmarkdownon Jun 18 2026.

Last update: 2026-06-17
Started: 2026-06-15

Readme and manuals

Help Manual

Help pageTopics
Calculate Proportional Change in Between-Stratum Variance (PCV)calculate_pvc
Compare MAIHDA Modelscompare_maihda
Compare MAIHDA Metrics Across Levels of a Grouping Variablecompare_maihda_groups
Compute Ternary Data for MAIHDA Modelscompute_maihda_ternary_data
Fit MAIHDA Modelfit_maihda
Run a Complete MAIHDA Analysismaihda
Area under the ROC curve (C-statistic), rank-basedmaihda_auc
Cross-National Educational Achievement Data for MAIHDAmaihda_country_data
Cumulative (ordinal) family marker for MAIHDA modelsmaihda_cumulative
Discriminatory accuracy of a binary MAIHDA modelmaihda_discriminatory_accuracy
Glance at a MAIHDA model or analysisglance.maihda_analysis glance.maihda_model glance.maihda_summary maihda_glance
NHANES Health Data Subset for MAIHDA Usemaihda_health_data
Information criteria for MAIHDA modelsmaihda_ic
Flag strata with credibly non-zero intersectional interactionmaihda_interactions
Simulated Longitudinal Data for MAIHDAmaihda_long_data
Median Odds Ratio (MOR) for a logistic MAIHDA modelmaihda_mor
Simulated Health Data for MAIHDA Usemaihda_sim_data
Sparse Intersectional Data for Bayesian MAIHDAmaihda_sparse_data
Canonical MAIHDA results table and ranked-strata tablemaihda_table
Generate Ternary Plot from MAIHDA Modelmaihda_ternary_plot
Tidy a MAIHDA summary, model, or analysismaihda_tidiers tidy.maihda_analysis tidy.maihda_model tidy.maihda_summary
Response-scale VPC for a binomial MAIHDA modelmaihda_vpc_response
Create Strata from Multiple Variablesmake_strata
Plot Prediction Deviation Panelsplot_prediction_deviation_panels
Plot a MAIHDA Analysisplot.maihda_analysis
Plot a MAIHDA Model Comparisonplot.maihda_comparison
Plot a MAIHDA Group Comparisonplot.maihda_group_comparison
Plot MAIHDA Model Resultsplot.maihda_model
Plot MAIHDA Ternary Diagramplot.maihda_ternary
Predict from MAIHDA Modelpredict_maihda
Print a MAIHDA Analysisprint.maihda_analysis
Print method for MAIHDA group comparisonsprint.maihda_group_comparison
Print MAIHDA information criteriaprint.maihda_ic
Print a MAIHDA interaction diagnosticprint.maihda_interactions
Print a longitudinal MAIHDA PCVprint.maihda_long_pcv
Print method for maihda_modelprint.maihda_model
Print a stepwise MAIHDA tableprint.maihda_stepwise
Print method for maihda_strata objectsprint.maihda_strata
Print method for maihda_summary objectsprint.maihda_summary
Print a MAIHDA results tableprint.maihda_table
Print method for PVC resultsprint.pvc_result
Run MAIHDA Shiny Applicationrun_maihda_app
Stepwise Proportional Change in Variance (PCV)stepwise_pcv
Summarize a MAIHDA Analysissummary.maihda_analysis
Summarize MAIHDA Modelsummary.maihda_model