Analyse                 Compute estimates and statistics
AnalyseIf               Perform a test that indicates whether a given
                        'Analyse()' function should be executed
Attach                  Attach objects for easier reference
BF_sim                  Example simulation from Brown and Forsythe
                        (1974)
BF_sim_alternative      (Alternative) Example simulation from Brown and
                        Forsythe (1974)
Bradley1978             Bradley's (1978) empirical robustness interval
CC                      Compute congruence coefficient
ECR                     Compute empirical coverage rates
EDR                     Compute the empirical detection/rejection rate
                        for Type I errors and Power
Generate                Generate data
GenerateIf              Perform a test that indicates whether a given
                        'Generate()' function should be executed
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
PBA                     Probabilistic Bisection Algorithm
RAB                     Compute the relative absolute bias of multiple
                        estimators
RD                      Compute the relative difference
RE                      Compute the relative efficiency of multiple
                        estimators
RMSE                    Compute the (normalized) root mean square error
RSE                     Compute the relative standard error ratio
RobbinsMonro            Robbins-Monro (1951) stochastic root-finding
                        algorithm
SFA                     Surrogate Function Approximation via the
                        Generalized Linear Model
Serlin2000              Empirical detection robustness method suggested
                        by Serlin (2000)
SimAnova                Function for decomposing the simulation into
                        ANOVA-based effect sizes
SimCheck                Check for missing files in array simulations
SimClean                Removes/cleans files and folders that have been
                        saved
SimCollect              Collapse separate simulation files into a
                        single result
SimDesign               Structure for Organizing Monte Carlo Simulation
                        Designs
SimExtract              Function to extract extra information from
                        SimDesign objects
SimFunctions            Template-based generation of the
                        Generate-Analyse-Summarise functions
SimResults              Function to read in saved simulation results
SimShiny                Generate a basic Monte Carlo simulation GUI
                        template
SimSolve                One Dimensional Root (Zero) Finding in
                        Simulation Experiments
Summarise               Summarise simulated data using various
                        population comparison statistics
addMissing              Add missing values to a vector given a MCAR,
                        MAR, or MNAR scheme
bias                    Compute (relative/standardized) bias summary
                        statistic
bootPredict             Compute prediction estimates for the
                        replication size using bootstrap MSE estimates
clusterSetRNGSubStream
                        Set RNG sub-stream for Pierre L'Ecuyer's
                        RngStreams
colVars                 Form Column Standard Deviation and Variances
createDesign            Create the simulation design object
expandDesign            Expand the simulation design object for array
                        computing
expandReplications      Expand the replications to match 'expandDesign'
genSeeds                Generate random seeds
getArrayID              Get job array ID (e.g., from SLURM or other HPC
                        array distributions)
listAvailableNotifiers
                        List All Available Notifiers
manageMessages          Increase the intensity or suppress the output
                        of an observed message
manageWarnings          Manage specific warning messages
nc                      Auto-named Concatenation of Vector or List
new_PushbulletNotifier
                        Create a Pushbullet Notifier
new_TelegramNotifier    Create a Telegram Notifier
quiet                   Suppress verbose function messages
rHeadrick               Generate non-normal data with Headrick's (2002)
                        method
rValeMaurelli           Generate non-normal data with Vale & Maurelli's
                        (1983) method
rbind.SimDesign         Combine two separate SimDesign objects by row
reSummarise             Run a summarise step for results that have been
                        saved to the hard drive
rejectionSampling       Rejection sampling (i.e., accept-reject method)
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
runArraySimulation      Run a Monte Carlo simulation using array job
                        submissions per condition
runSimulation           Run a Monte Carlo simulation given conditions
                        and simulation functions
timeFormater            Format time string to suitable numeric output
