accelerate_fp: Accelerate fp

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Accelerate fp

Description

Accelerate fp by dividing the countries into two groups:

• For BRN, CYP, FSM, ISL, LUX, and SYC, return business as usual.

• For all other countries, take the best of business as usual and the quantile target for quantile_year = 2018 and 5 quantiles (capped by the maximum regional value in 2018).

Usage

accelerate_fp(
  df,
  ind_ids = billion_ind_codes("uhc"),
  scenario_col = "scenario",
  value_col = "value",
  default_scenario = "default",
  bau_scenario = "historical",
  scenario_name = "acceleration",
  ...
)

Arguments

df	Data frame in long format, where 1 row corresponds to a specific country, year, and indicator.
ind_ids	Named vector of indicator codes for input indicators to the Billion. Although separate indicator codes can be used than the standard, they must be supplied as a named vector where the names correspond to the output of billion_ind_codes().
scenario_col	Column name of column with scenario identifiers. Useful for calculating contributions on data in long format rather than wide format.
value_col	Name of the column containing indicator value in df.
default_scenario	name of the default scenario.
bau_scenario	name of scenario to be used for business as usual. Default is historical.
scenario_name	name of scenario
...	additional parameters to be passed to scenario function

See Also

UHC acceleration scenarios accelerate_anc4(), accelerate_art(), accelerate_beds(), accelerate_bp(), accelerate_doctors(), accelerate_dtp3(), accelerate_fh(), accelerate_fpg(), accelerate_hwf(), accelerate_itn(), accelerate_nurses(), accelerate_pneumo(), accelerate_tb(), accelerate_uhc_sanitation(), accelerate_uhc_tobacco()

gpw13/billionaiRe documentation built on April 17, 2025, 12:54 p.m.