Calculate absolute performance criteria and MCSE

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

Usage

calc_absolute(
  res_dat,
  estimates,
  true_param,
  perfm_criteria = c("bias", "variance", "mse", "rmse")
)

Arguments

res_dat

data frame or tibble containing the simulation results.

estimates

name of the column containing the estimates.

true_param

name of the column containing the true parameters.

perfm_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_absolute(res_dat = t_res, estimates = est, true_param = true_param)
#> # A tibble: 1 × 9
#>       K    bias bias_mcse    var var_mcse    mse mse_mcse  rmse rmse_mcse
#>   <int>   <dbl>     <dbl>  <dbl>    <dbl>  <dbl>    <dbl> <dbl>     <dbl>
#> 1  1000 0.00233   0.00638 0.0407  0.00183 0.0407  0.00183 0.202   0.00556