Helper Functions for Simulation Studies

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Documentation for package ‘simhelpers’ version 0.3.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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.
Tipton_Pusto	Results for Figure 2 of Tipton & Pustejovsky (2015)
t_res	t-test simulation results
welch_res	Welch t-test simulation results