Gap-Fill All Regions for One Indicator — gapfill

Fetches raw DHS data for a set of countries and a single indicator, processes it, and applies gapfill_series() to every region that has at least min_obs observations.

Usage

gapfill_indicator(country_ids, ind_code, ind_name, transform,
  min_obs = 2L, sigma_floor = 0.25, forecast_to = NULL)

Arguments

country_ids: Character vector of DHS country codes.
ind_code: Character: DHS indicator ID.
ind_name: Character: output column name for the indicator.
transform: Character: "log" or "logit".
min_obs: Integer: minimum observations per region (default: 2).
sigma_floor: Numeric: minimum prediction SE (default: 0.25).
forecast_to: Integer: if set, forecasts to this year.

Value

A named list with gapfilled (tibble), raw (tibble), n_regions, n_errors, n_warnings, and error_regions.

Examples

if (FALSE) { # \dontrun{
res <- gapfill_indicator(
  country_ids = c("KE", "NG"),
  ind_code = "CM_ECMR_C_U5M",
  ind_name = "u5_mortality",
  transform = "log"
)
} # }