Calculate the impact of using Bayesian updating compared to population estimates

Bayesian impact (BI), as defined here, is the gain in accuracy that is obtained when using Bayesian updating, compared to using a priori (population) parameter estimates. The BI is computed based on accuracy measures (RMSE and MAPE), but not on bias estimates (MPE).

calculate_bayesian_impact(.res)

Arguments

.res

output object (mipdeval_results) from run_eval(), or data.frame with raw results.

Value

a tibble with bayesian impact values, based on RMSE and MAPE