Calculate SMC Coverage from DHS Data

Computes SMC coverage among eligible children from DHS Children's Recode (KR) data. Returns survey-weighted proportions with logit confidence intervals in standardized long format.

Usage

calc_smc_dhs(
  dhs_kr,
  survey_vars = list(cluster = "v021", weight = "v005", stratum = "v022", age = "hw1",
    smc_primary = "hml43", smc_alt = "ml13g"),
  region_var = NULL,
  gps_data = NULL,
  gps_vars = list(cluster = "DHSCLUST", lat = "LATNUM", lon = "LONGNUM"),
  shapefile = NULL,
  admin_level = NULL,
  join_nearest = TRUE,
  ci_method = "logit"
)

Arguments

dhs_kr

DHS Children's Recode (KR) dataset.

survey_vars

Named list mapping DHS variable names.

region_var

Optional column name to use as grouping variable.

gps_data

Optional DHS GPS dataset.

gps_vars

Named list for GPS variables.

shapefile

Optional sf object with administrative boundaries.

admin_level

Character vector of admin columns.

join_nearest

Logical.

ci_method

Method for confidence intervals. Default: "logit".

Value

Named list with:

adm0

National-level estimates (always present)

adm1

Admin-1 estimates (when region_var provided)

Each tibble contains standardized columns: survey_id, iso3, iso2, survey_type, survey_year, adm0, adm1, type, geo_source, point, ci_l, ci_u, numerator, denominator, indicator, indicator_code, numerator_description, denominator_description, denominator_code.

See also

smc_dictionary() for indicator metadata, calc_smc_dhs_core() for legacy wide-format output

Examples

if (FALSE) { # \dontrun{
smc <- calc_smc_dhs(dhs_kr = kr_data, region_var = "v024")
smc$adm0
smc$adm1
} # }