This function calculates and prints the Mean Squared Error (MSE), Root Mean
Squared Error (RMSE), and Mean Absolute Error (MAE) of the filtered state
variables against both the final release and the true efficient release.
Usage
# S3 method for class 'kk_model'
summary(object, ...)
Arguments
- object
A list of class 'kk_model' produced by the
kk_nowcast function.
- ...
Additional arguments (not used).
Value
A list containing two data frames:
- final_release_metrics
A data frame with MSE, RMSE, and MAE against
the final release.
- true_efficient_release_metrics
A data frame with MSE, RMSE, and
MAE against the true efficient release.
Examples
# Assuming 'kk_model_obj' is the result of kk_nowcast(your_data, ...)
# and 'your_data' is the original data frame.
# results <- summary.kk_model(kk_model_obj, your_data)
