Structure for Organizing Monte Carlo Simulation Designs


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Documentation for package ‘SimDesign’ version 1.1

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SimDesign-package Structure for Organizing Monte Carlo Simulation Designs
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
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)
bias Compute (relative) bias summary statistic
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
head.SimDesign Run a Monte Carlo simulation given a data.frame of conditions and simulation functions
MAE Compute the mean absolute error
print.SimDesign Run a Monte Carlo simulation given a data.frame of conditions and simulation functions
RE Compute the relative efficiency of multiple estimators
RMSE Compute the (normalized) root mean square error
runSimulation Run a Monte Carlo simulation given a data.frame of conditions and simulation functions
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
Summarise Summarise simulated data using various population comparison statistics
summary.SimDesign Run a Monte Carlo simulation given a data.frame of conditions and simulation functions
tail.SimDesign Run a Monte Carlo simulation given a data.frame of conditions and simulation functions