Structure for Organizing Monte Carlo Simulation Designs


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Documentation for package ‘SimDesign’ version 0.9

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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
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
SimDesign_functions Skeleton functions for simulations
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