Skip to contents

Calculates relative bias, mean squared error (relative mse), and root mean squared error (relative rmse). The function also calculates the associated Monte Carlo standard errors.

Usage

calc_relative(
  data,
  estimates,
  true_param,
  criteria = c("relative bias", "relative mse", "relative rmse")
)

Arguments

data

data frame or tibble containing the simulation results.

estimates

Vector or name of column from data containing point estimates.

true_param

Vector or name of column from data containing corresponding true parameters.

criteria

character or character vector indicating the performance criteria to be calculated.

Value

A tibble containing the number of simulation iterations, performance criteria estimate(s) and the associated MCSE.

Examples

calc_relative(data = t_res, estimates = est, true_param = true_param)
#> # A tibble: 1 × 7
#>   K_relative rel_bias rel_bias_mcse rel_mse rel_mse_mcse rel_rmse rel_rmse_mcse
#>        <int>    <dbl>         <dbl>   <dbl>        <dbl>    <dbl>         <dbl>
#> 1       1000     1.00        0.0128   0.163      0.00366    0.403       0.00911