new function to check whether a given forecast is "complete"

[nickreich]

Use case would be for evaluation purposes, to identify whether a given forecast contains all desired quantiles, locations, targets. Skeleton might look like this:

input: a single forecast in standard covidHubUtils format (could be adapted for multiple forecasts?) output: logical, TRUE if forecast contains all Hub-required quantiles for listed targets and locations.

is_forecast_complete(fcast_data, targets, location_codes)

[elray1]

Couple of questions:

• Should this return something like a tibble with combinations of model, target and location_code and a column for whether the forecast was complete for each such combination?
• Should we specify quantiles also, or just infer it from the target?

[nikosbosse]

There is some functionality that does this in scoringutils that might be helpful for this. The function show_avail_forecasts() does essentially this. If we don't want it as a plot we could just pull out the relevant bits of the code.

Currently this treats all quantiles together as one forecast, but you can also count the number of quantiles specifying collapse_to_one = FALSE