A baselinenowcast_df object which contains point or probabilistic nowcasts
alongside reference dates and any additional metadata, in tidy data format.
Nowcasts are presented aggregated across delays, by reference date.
Structure
A baselinenowcast_df is a data.frame with the following columns:
- reference_date
Dates corresponding to the reference times of the nowcast.
- pred_count
Numeric indicating the estimated total counts aggregated across delays at each reference date.
- draw
Integer indexing the sample from the probabilistic nowcast distribution. If
output_type = "point", this will be set to 1.- output_type
Character string indicating whether the
pred_countrepresents a probabilistic draw from the observation model indicated by"samples"or whether thepred_countis a point estimate indicated by"point".
See the corresponding reporting_triangle and
baselinenowcast() function
for more details on the required inputs to generate the object.
See also
Main nowcasting interface functions
assert_baselinenowcast_df(),
baselinenowcast(),
baselinenowcast.data.frame(),
baselinenowcast.reporting_triangle(),
new_baselinenowcast_df()