estimate_total: Post-stratification analysis

In bbw: Blocked Weighted Bootstrap

Post-stratification analysis

Description

Post-stratification analysis

Usage

estimate_total(est_df, pop_df, strata)

Arguments

est_df	A data.frame() of stratified indicator estimates to get overall estimates of. est_df should have a variable named est for the values of the indicator estimate, a variable named strata for information on the stratification or grouping of the estimates, and a variable named se for the standard errors for the values of the indicator estimate. This is usually produced via a call to boot_bw_estimate().
pop_df	A data.frame() with at least two variables: strata for the stratification/grouping information that matches strata in est_df and pop for information on population for the given strata.
strata	A character value of the variable name in est_df that corresponds to the strata values to match with values in pop_df

Value

A vector of values for the overall estimate, overall 95% lower confidence limit, and overall 95% upper confidence limit for each of the strata in est_df.

Examples

est_df <- boot_bw(
  x = indicatorsHH, w = villageData, statistic = bootClassic, 
  params = "anc1", strata = "region", replicates = 9, parallel = TRUE
) |>
  boot_bw_estimate()

## Add population ----
pop_df <- somalia_population |>
  subset(select = c(region, total))

names(pop_df) <- c("strata", "pop")

estimate_total(est_df, pop_df, strata = "region")

bbw documentation built on April 12, 2025, 9:14 a.m.