calc_absolute: Calculate absolute performance criteria and MCSE

In simhelpers: Helper Functions for Simulation Studies

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(
  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)

simhelpers documentation built on May 4, 2022, 1:05 a.m.