Accelerate anc4 by aiming at fixed target of 95% by 2030 for countries
with at least 2 reported values. For others, it is business as usual.
Usage
accelerate_target_anc4(
df,
scenario_col = "scenario",
default_scenario = "default",
bau_scenario = "historical",
scenario_name = "acceleration_target",
ind_ids = billion_ind_codes("uhc"),
...
)Arguments
- df
Data frame in long format, where 1 row corresponds to a specific country, year, and indicator.
- scenario_col
Column name of column with scenario identifiers. Useful for calculating contributions on data in long format rather than wide format.
- 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
- 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().- ...
additional parameters to be passed to scenario function
Value
data frame with acceleration_target scenario binded to df. scenario_name is
set to acceleration_target
See also
Target scenario
accelerate_target_art(),
accelerate_target_beds(),
accelerate_target_bp(),
accelerate_target_doctors(),
accelerate_target_dtp3(),
accelerate_target_fh(),
accelerate_target_fpg(),
accelerate_target_fp(),
accelerate_target_hwf(),
accelerate_target_itn(),
accelerate_target_nurses(),
accelerate_target_pneumo(),
accelerate_target_tb(),
accelerate_target_uhc_sanitation(),
accelerate_target_uhc_tobacco()