View source: R/load_forecasts_local_zoltar.R
load_forecasts_local_zoltar | R Documentation |
forecast_dates
from local Zoltar module.Please follow instructions to set up required environment prior to using this function for the first time See http://reichlab.io/covidHubUtils/articles/covidHubUtils-zoltar_sqlite_setup.htmlvignette for more details.
load_forecasts_local_zoltar(
models = NULL,
forecast_dates = NULL,
locations = NULL,
types = NULL,
targets = NULL,
as_of = NULL,
hub = c("US", "ECDC"),
verbose = TRUE,
local_zoltpy_path,
zoltar_sqlite_file
)
models |
Character vector of model abbreviations. Default all models that submitted forecasts meeting the other criteria. |
forecast_dates |
A 2 dimensional list of forecast dates to retrieve forecasts.
This function will return the latest forecasts
for each sub-list of dates.
Default to |
locations |
a vector of strings of fips code or CBSA codes or location names,
such as "Hampshire County, MA", "Alabama", "United Kingdom".
A US county location names must include state abbreviation.
Default to |
types |
Character vector specifying type of forecasts to load: |
targets |
character vector of targets to retrieve, for example
|
as_of |
character for date time to load forecasts submitted as of this time.
It could use the format of one of the three examples:
|
hub |
character vector, where the first element indicates the hub
from which to load forecasts. Possible options are |
verbose |
logical for printing messages on zoltar job status. Default to |
local_zoltpy_path |
path to local clone of |
zoltar_sqlite_file |
an absolute path to local sqlite file. |
This function will throw an error when no forecasts are submitted on
any dates in forecast_dates
for selected models
,
locations
, types
and target
.
By default. test-load_forecasts_local_zoltar()
is skipped. Please modify
local_zoltpy_path
and zoltar_sqlite_file
on top of the unit test file to run tests.
data.frame with columns model
, forecast_date
, location
, horizon
,
temporal_resolution
, target_variable
, target_end_date
, type
, quantile
, value
,
location_name
, population
, geo_type
, geo_value
, abbreviation
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