https://sujon-stat.r-universe.devRecent package updates in sujon-statR-universehttps://github.com/sujon-stat.pnghttps://sujon-stat.r-universe.devFri, 16 Oct 2026 18:30:03 GMTsujonsgc@gmail.com (Sujon Mia)Provides tools for analysing population health survey data (WHO STEPS, DHS, MICS, and similar complex sample surveys), where chronic conditions are self-reported rather than ICD-coded and estimates must account for stratification, clustering, and sampling weights. Includes a self-reported multimorbidity index based on the Functional Comorbidity Index (Groll et al., 2005, <doi:10.1016/j.jclinepi.2004.10.018>), design-weighted population prevalence estimation via the 'survey' package, a survey-weighted concentration index for health inequality analysis, a DHS anthropometric z-score categoriser, a choropleth mapping helper, and exploratory survey-weighted gradient boosting (via 'xgboost') with SHAP-based explainability. The gradient boosting component applies case weights but does not yet propagate cluster and strata design effects into variance estimates; it should be treated as exploratory rather than as design-based inference.https://github.com/r-universe/stataid-research-lab/actions/runs/38970722743Fri, 16 Oct 2026 18:30:03 GMTSurveyNCD0.1.0successhttps://stataid-research-lab.r-universe.devhttps://github.com/stataid-research-lab/surveyncdcalculating-health-inequality.Rmdcalculating-health-inequality.htmlCalculating Health Inequality in Complex Surveys2026-06-21 14:41:112026-07-04 15:55:03mapping-survey-indicators.Rmdmapping-survey-indicators.htmlGeospatial Mapping of Health Inequalities2026-06-21 14:41:112026-07-04 15:55:03