Prepare Single CSB Indicator by Wealth Quintile for MBG — prep_csb_by_wealth

Convenience wrapper around calc_csb_by_wealth_mbg() to prepare a single care-seeking indicator stratified by wealth quintile.

Usage

prep_csb_by_wealth_mbg(
  dhs_kr,
  gps_data,
  indicator = "public",
  quintiles = 1:5,
  wealth_var = "v190",
  csb_priority_method = c("all", "first", "public", "private"),
  survey_vars = list(cluster = "v001", age = "hw1", fever = "h22"),
  gps_vars = list(cluster = "DHSCLUST", lat = "LATNUM", lon = "LONGNUM")
)

Arguments

dhs_kr: DHS Children's Recode (KR) dataset.
gps_data: DHS GPS dataset with cluster coordinates.
indicator: Single indicator name. Default: "public".
quintiles: Numeric vector of wealth quintiles to include. Default: 1:5 (all quintiles). Use c(1) for poorest only, c(1,2) for poorest + poorer, etc.
wealth_var: Name of wealth quintile variable in dhs_kr. Default: "v190".
csb_priority_method: Character, one of "all" (default), "first", "public", or "private". Controls how overlapping care-seeking records are resolved so each individual is assigned to at most one sector. See calc_csb_mbg() for details. With non-"all" values, csb_public + csb_private + csb_none sums to 100% within each quintile.
survey_vars: Named list mapping DHS variable names.
gps_vars: Named list for GPS variable mapping.

Value

Named list of data.tables, one per quintile, each with columns: cluster_id, indicator, samplesize, x, y

Examples

if (FALSE) { # \dontrun{
# Public care-seeking for poorest quintile only
csb_pub_q1 <- prep_csb_by_wealth_mbg(
  dhs_kr = kr_data,
  gps_data = gps_data,
  indicator = "public",
  quintiles = 1
)
} # }