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recode_binary(): converts raw survey coding
(e.g. 1/2/9) to clean 0/1/NA. When no is not specified,
non-yes values are treated as 0.multimorbidity_index(): self-reported multimorbidity
score based on the Functional Comorbidity Index (Groll et al., 2005,
doi:10.1016/j.jclinepi.2004.10.018). Safely handles all-NA
respondents.fci_items(): reference list of 18 standard FCI
conditionsmm_prevalence(): design-weighted population prevalence
with logit confidence intervals via the survey package. Includes lonely
PSU protection.survey_concentration_index(): survey-weighted
concentration index for health inequality analysis with
design-consistent standard errors via Kakwani’s convenient regression
(Kakwani, Wagstaff, & van Doorslaer, 1997,
doi:10.1016/S0304-4076(96)01807-6). Returns full-precision values.who_anthro_score(): WHO severity categorisation for
DHS-style anthropometric z-scores with biologically implausible value
flagging per WHO child growth standards (WHO, 2006).survey_map_indicator(): choropleth mapping of survey
indicators via sfsurvey_xgboost(): case-weighted gradient boosting for
survey data (exploratory)survey_shap(): SHAP feature contributions from
survey_xgboost() modelsplot_shap_summary(): SHAP summary visualisationThese 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.
Health stats visible at Monitor.