In gpw13/billionaiRe: Calculate the WHO Triple Billions

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

To calculate the UHC Billion, there are a series of functions made available through the billionaiRe package:

transform_uhc_data() to transform raw values into normalized values used within the calculations.
calculate_uhc_billion() to calculate average service coverage, financial hardship, and the UHC single measure for each country and year in the data frame..
calculate_uhc_contribution() to calculate country-level Billion for specified beginning and end year.

Run in sequence, these can calculate the entire UHC Billion, or they can be run separately to produce different outputs as required. Details on the inputs of each function are available in their individual documentation, but below you can see the quick and easy Billions calculation done using the the sample fake UHC data provided in the package, uhc_df.

library(billionaiRe)

uhc_df %>%
  transform_uhc_data(end_year = 2023) %>%
  calculate_uhc_billion() %>%
  calculate_uhc_contribution(end_year = 2023, pop_year = 2023) %>% 
  dplyr::filter(ind %in% c("uhc_sm", "asc", "fh"),
                year == 2023)