accelerate_detect | R Documentation |
accelerate_detect()
, accelerate_respond()
, accelerate_notify()
, and
accelerate_detect_respond()
accelerate by returning to business as usual
values.
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", ...)
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
|
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 |
scenario_name |
name of scenario |
... |
additional parameters to be passed to scenario function |
data frame with acceleration scenario binded to df
. scenario_col
is
set to acceleration
HEP acceleration scenarios
accelerate_cholera_campaign()
,
accelerate_espar()
,
accelerate_measles_routine()
,
accelerate_meningitis_campaign()
,
accelerate_polio_routine()
,
accelerate_yellow_fever_campaign()
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