Tipton_Pusto            Results for Figure 2 of Tipton & Pustejovsky
                        (2015)
alpha_res               Cronbach's alpha simulation results
bootstrap_CIs           Calculate one or multiple bootstrap confidence
                        intervals
bootstrap_pvals         Calculate one or multiple bootstrap p-values
bundle_sim              Bundle functions into a simulation driver
                        function
calc_absolute           Calculate absolute performance criteria and
                        MCSE
calc_coverage           Calculate confidence interval coverage, width
                        and MCSE
calc_rejection          Calculate rejection rate and MCSE
calc_relative           Calculate relative performance criteria and
                        MCSE
calc_relative_var       Calculate jack-knife Monte Carlo SE for
                        variance estimators
create_skeleton         Open a simulation skeleton
evaluate_by_row         Evaluate a simulation function on each row of a
                        data frame or tibble
extrapolate_coverage    Extrapolate coverage and width using
                        sub-sampled bootstrap confidence intervals.
extrapolate_rejection   Extrapolate coverage and width using
                        sub-sampled bootstrap confidence intervals.
repeat_and_stack        Repeat an expression multiple times and
                        (optionally) stack the results.
t_res                   t-test simulation results
welch_res               Welch t-test simulation results
