Example model output data representing quantile forecasts
example_quantile_model_output.RdThese are a subset of forecasts of daily incident hospital admissions for COVID-19 that were submitted to the US COVID-19 Forecast hub, which have been lightly modified for expository purposes.
Format
example_quantile_model_output
A data frame with 112 rows and 8 columns:
- origin_date
Date: Reference date for the forecast.
- horizon
integer: Forecast horizon, in days.
- location
character: FIPS codes identifying the location being forecasted.
- target
character: The forecast target. All values are "inc covid hosp".
- output_type
character: Output type used to represent the forecast. All values are "quantile".
- output_type_id
numeric: The probability level for the quantile forecast. One of 0.05, 0.1, 0.25, 0.5, 0.75, 0.9 or 0.95.
- value
integer: The quantile of the forecast distribution.
- model_id
character: Identifier for the model that produced the forecast.