accelerate_dtp3: Accelerate dtp3

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Accelerate dtp3

Description

Accelerate dtp3 using a customised version of scenario_fixed_target with the following peculiarities:

• baseline_year = 2019;

• the 2020 value is kept identical to the 2019 (baseline) value;

• the target_year is 2030; and

• the scenario is then a straight line to the target_value and target_year

• the target values for each country are provided by the technical program.

Usage

accelerate_dtp3(
  df,
  ind_ids = billion_ind_codes("uhc"),
  scenario_col = "scenario",
  value_col = "value",
  start_year = 2018,
  end_year = 2025,
  default_scenario = "default",
  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.
start_year	Year from which the acceleration scenario begins, inclusive.
end_year	End year(s) for contribution calculation, defaults to 2019 to 2025.
default_scenario	name of the default scenario.
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_fh(), accelerate_fpg(), accelerate_fp(), 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.