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
IRMSE                   Compute the integrated root mean-square error
MAE                     Compute the mean absolute error
MSRSE                   Compute the relative performance behavior of
                        collections of standard errors
RD                      Compute the relative difference
RE                      Compute the relative efficiency of multiple
                        estimators
RMSE                    Compute the (normalized) root mean square error
Serlin2000              Empirical detection robustness method suggested
                        by Serlin (2000)
SimAnova                Function for decomposing the simulation into
                        ANOVA-based effect sizes
SimBoot                 Function to present bootstrap standard errors
                        estimates for Monte Carlo simulation
                        meta-statistics
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/standardized) bias summary
                        statistic
boot_predict            Compute prediction estimates for the
                        replication size using bootstrap MSE estimates
quiet                   Suppress function messages and Concatenate and
                        Print (cat)
rHeadrick               Generate non-normal data with Headrick's (2002)
                        method
rValeMaurelli           Generate non-normal data with Vale & Maurelli's
                        (1983) method
rejectionSampling       Rejection sampling (i.e., accept-reject method)
                        to draw samples from difficult probability
                        density functions
rint                    Generate integer values within specified range
rinvWishart             Generate data with the inverse Wishart
                        distribution
rmgh                    Generate data with the multivariate g-and-h
                        distribution
rmvnorm                 Generate data with the multivariate normal
                        (i.e., Gaussian) distribution
rmvt                    Generate data with the multivariate t
                        distribution
rtruncate               Generate a random set of values within a
                        truncated range
runSimulation           Run a Monte Carlo simulation given a data.frame
                        of conditions and simulation functions
subset.SimDesign        Subset method for SimDesign objects
