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Calculate the impact of using Bayesian updating compared to population estimates

Source: R/calculate_bayesian_impact.R
calculate_bayesian_impact.Rd

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).

Usage

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