Performance Criteria and MCSE

Functions for calculating performance critieria and MCSE

calc_absolute()

Calculate absolute performance criteria and MCSE

calc_relative()

Calculate relative performance criteria and MCSE

calc_relative_var()

Calculate jack-knife Monte Carlo SE for variance estimators

calc_rejection()

Calculate rejection rate and MCSE

calc_coverage()

Calculate confidence interval coverage, width and MCSE

Simulation Workflow

Functions for setting up simulation workflow

create_skeleton()

Open a simulation skeleton

evaluate_by_row()

Evaluate a simulation function on each row of a data frame or tibble

Example Datasets

Example datasets from simulation studies

Tipton_Pusto

Results for Figure 2 of Tipton & Pustejovsky (2015)

alpha_res

Cronbach's alpha simulation results

t_res

t-test simulation results

welch_res

Welch t-test simulation results