Postprocess a successful eval fitting job. — postprocess_successful

Helper function called within the eval_postprocess() wrapper function and only if the fit was successful. This handles the bulk of the postprocessing, but there are some postprocessing tasks we wish to perform regardless of whether the model fit was successful.

Usage

postprocess_successful_fit(
  wwinference_fit_obj,
  stan_fit_obj,
  model,
  location,
  forecast_date,
  scenario,
  output_dir,
  raw_output_dir,
  input_hosp_data_wweval,
  input_ww_data_wweval,
  eval_hosp_data,
  eval_ww_data
)

Arguments

wwinference_fit_obj: Fit object to process, as the output of wwinference::wwinference().
stan_fit_obj: Corresponding stan fit object.
model: Which model the object represents. One of "ww" and "hosp".
location: location for the forecasting problem.
forecast_date: "as-of" date for the forecasting problem.
scenario: data availability scenario for the forecasting problem.
output_dir: Directory in which to save processed output.
raw_output_dir: Directory in which to archive objects from the environment as serialized .rds files.
input_hosp_data_wweval: Input hospital admissions data in legacy wweval format.
input_ww_data_wweval: Input wastewater data in legacy wweval format.
eval_hosp_data: Evaluation hospital admissions data in newer wwinference format.
eval_ww_data: Evaluation wastewater admissions data in newer wwinference format.

Value

Nothing, saving results to disk as a side effect.