# Structure for Organizing Monte Carlo Simulation Designs

## Documentation for package ‘SimDesign’ version 2.19.2

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

## Help Pages

SimDesign-package | Structure for Organizing Monte Carlo Simulation Designs
addMissing | Add missing values to a vector given a MCAR, MAR, or MNAR scheme
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
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)
bias | Compute (relative/standardized) bias summary statistic
bootPredict | Compute prediction estimates for the replication size using bootstrap MSE estimates
boot_predict | Compute prediction estimates for the replication size using bootstrap MSE estimates
Bradley1978 | Bradley's (1978) empirical robustness interval
CC | Compute congruence coefficient
clusterSetRNGSubStream | Set RNG sub-stream for Pierre L'Ecuyer's RngStreams
colSDs | Form Column Standard Deviation and Variances
colVars | Form Column Standard Deviation and Variances
createDesign | Create the simulation design object
ECR | Compute empirical coverage rates
EDR | Compute the empirical detection/rejection rate for Type I errors and Power
ERR | Compute the empirical detection/rejection rate for Type I errors and Power
expandDesign | Create the simulation design object
Generate | Generate data
GenerateIf | Perform a test that indicates whether a given 'Generate()' function should be executed
genSeeds | Generate random seeds
gen_seeds | Generate random seeds
getArrayID | Get job array ID (e.g., from SLURM or other HPC array distributions)
IRMSE | Compute the integrated root mean-square error
listAvailableNotifiers | List All Available Notifiers
MAE | Compute the mean absolute error
manageMessages | Increase the intensity or suppress the output of an observed message
manageWarnings | Manage specific warning messages
MSRSE | Compute the relative performance behavior of collections of standard errors
nc | Auto-named Concatenation of Vector or List
new_PushbulletNotifier | Create a Pushbullet Notifier
new_TelegramNotifier | Create a Telegram Notifier
PBA | Probabilistic Bisection Algorithm
plot.PBA | Probabilistic Bisection Algorithm
plot.RM | Robbins-Monro (1951) stochastic root-finding algorithm
plot.SimSolve | One Dimensional Root (Zero) Finding in Simulation Experiments
print.Design | Create the simulation design object
print.PBA | Probabilistic Bisection Algorithm
print.RM | Robbins-Monro (1951) stochastic root-finding algorithm
print.SFA | Surrogate Function Approximation via the Generalized Linear Model
print.SimDesign | Run a Monte Carlo simulation given conditions and simulation functions
quiet | Suppress verbose function messages
RAB | Compute the relative absolute bias of multiple estimators
rbind.SimDesign | Combine two separate SimDesign objects by row
rbindDesign | Create the simulation design object
RD | Compute the relative difference
RE | Compute the relative efficiency of multiple estimators
rejectionSampling | Rejection sampling (i.e., accept-reject method)
reSummarise | Run a summarise step for results that have been saved to the hard drive
rHeadrick | Generate non-normal data with Headrick's (2002) 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
RMSD | Compute the (normalized) root mean square error
RMSE | Compute the (normalized) root mean square error
rmvnorm | Generate data with the multivariate normal (i.e., Gaussian) distribution
rmvt | Generate data with the multivariate t distribution
RobbinsMonro | Robbins-Monro (1951) stochastic root-finding algorithm
RSE | Compute the relative standard error ratio
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
rValeMaurelli | Generate non-normal data with Vale & Maurelli's (1983) method
Serlin2000 | Empirical detection robustness method suggested by Serlin (2000)
SFA | Surrogate Function Approximation via the Generalized Linear Model
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
summary.SimDesign | Run a Monte Carlo simulation given conditions and simulation functions
summary.SimSolve | One Dimensional Root (Zero) Finding in Simulation Experiments
timeFormater | Format time string to suitable numeric output
[.Design | Create the simulation design object