| 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 |