Analyse                 Compute estimates and statistics
Attach                  Attach the simulation conditions for easier
                        reference
BF_sim                  Example simulation from Brown and Forsythe
                        (1974)
BF_sim_alternative      (Alternative) Example simulation from Brown and
                        Forsythe (1974)
ECR                     Compute the empirical coverage rate for Type I
                        errors and Power
EDR                     Compute the empirical detection rate for Type I
                        errors and Power
Generate                Generate data
MAE                     Compute the mean absolute error
RD                      Compute the relative difference
RE                      Compute the relative efficiency of multiple
                        estimators
RMSE                    Compute the (normalized) root mean square error
SimAnova                Function for decomposing the simulation into
                        ANOVA-based effect sizes
SimClean                Removes/cleans files and folders that have been
                        saved
SimDesign               Structure for Organizing Monte Carlo Simulation
                        Designs
SimFunctions            Skeleton functions for simulations
SimResults              Function to read in saved simulation results
SimShiny                Generate a basic Monte Carlo simulation GUI
                        template
Summarise               Summarise simulated data using various
                        population comparison statistics
add_missing             Add missing values to a vector given a MCAR,
                        MAR, or MNAR scheme
aggregate_simulations   Collapse separate simulation files into a
                        single result
bias                    Compute (relative) bias summary statistic
rHeadrick               Generate non-normal data with Headrick's (2002)
                        method
rValeMaurelli           Generate non-normal data with Vale & Maurelli's
                        (1983) method
rmgh                    Generate data with the multivariate g-and-h
                        distribution
runSimulation           Run a Monte Carlo simulation given a data.frame
                        of conditions and simulation functions
