calc_absolute {simhelpers}

Calculate absolute performance criteria and MCSE

Description

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(
  data,
  estimates,
  true_param,
  criteria = c("bias", "variance", "mse", "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_absolute(data = t_res, estimates = est, true_param = true_param)