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Accelerate bp by taking the best of aiming at reaching 80% by 2030 and business as usual.

Usage

accelerate_bp(
  df,
  ind_ids = billion_ind_codes("uhc"),
  value_col = "value",
  scenario_col = "scenario",
  start_year = 2018,
  end_year = 2025,
  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().

value_col

Name of the column containing indicator value in df.

scenario_col

Column name of column with scenario identifiers. Useful for calculating contributions on data in long format rather than wide format.

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.

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