Updates Forecast Horizon Based on Input Data and Target

Makes sure that a forecast is returned for the user specified time period beyond the target date.

Usage

update_horizon(horizon, target_date, data)

horizon: Numeric, defaults to 7. Number of days into the future to forecast.
target_date: Date, defaults to maximum found in the data if not specified.
data: A <data.frame> of confirmed cases (confirm) by date (date). confirm must be numeric and date must be in date format. Optionally this can also have a logical accumulate column which indicates whether data should be added to the next data point. This is useful when modelling e.g. weekly incidence data. See also the fill_missing() function which helps add the accumulate column with the desired properties when dealing with non-daily data. If any accumulation is done this happens after truncation as specified by the truncation argument.

Numeric forecast horizon adjusted for the users intention