accelerate_dnr: Accelerate Detect, Notify, Respond, and Detect and Respond

In gpw13/billionaiRe: Calculate the WHO Triple Billions

Accelerate Detect, Notify, Respond, and Detect and Respond

Description

accelerate_detect(), accelerate_respond(), accelerate_notify(), and accelerate_detect_respond() accelerate by returning to business as usual values.

Usage

accelerate_detect(
  df,
  ind_ids = billion_ind_codes("hep"),
  scenario_col = "scenario",
  bau_scenario = "historical",
  scenario_name = "acceleration",
  ...
)

accelerate_respond(df, scenario_name = "acceleration", ...)

accelerate_notify(df, scenario_name = "acceleration", ...)

accelerate_detect_respond(df, 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.
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

Value

data frame with acceleration scenario binded to df. scenario_col is set to acceleration

See Also

HEP acceleration scenarios accelerate_cholera_campaign(), accelerate_espar(), accelerate_measles_routine(), accelerate_meningitis_campaign(), accelerate_polio_routine(), accelerate_yellow_fever_campaign()

gpw13/billionaiRe documentation built on Sept. 27, 2024, 10:05 p.m.