R: Helper Functions for Simulation Studies

# Helper Functions for Simulation Studies

## Documentation for package ‘simhelpers’ version 0.3.1

- 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