# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "SurveyNCD" in publications use:' type: software license: MIT title: 'SurveyNCD: Tools for Self-Reported Health Indicators in Complex Surveys' version: 0.1.0 doi: 10.32614/CRAN.package.SurveyNCD abstract: 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, ), 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. authors: - family-names: Mia given-names: Sujon email: sujonsgc@gmail.com repository: https://stataid-research-lab.r-universe.dev repository-code: https://github.com/StatAid-Research-Lab/SurveyNCD commit: 94fd2415513c4c9a44b66eae33ebd93cc5212d35 url: https://github.com/StatAid-Research-Lab/SurveyNCD date-released: '2026-10-16' contact: - family-names: Mia given-names: Sujon email: sujonsgc@gmail.com