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The simulator is an R package that streamlines the process of performingsimulations by creating a common infrastructure that can be easily used andreused across projects. Methodological statisticians routinely writesimulations to compare their methods to preexisting ones. While developingideas, there is a temptation to write "quick and dirty" simulations to try outideas. This approach of rapid prototyping is useful but can sometimes backfireif bugs are introduced. Using the simulator allows one to remove the "dirty"without sacrificing the "quick." Coding is quick because the statisticianfocuses exclusively on those aspects of the simulation that are specific to theparticular paper being written. Code written with the simulator is succinct,highly readable, and easily shared with others. The modular nature ofsimulations written with the simulator promotes code reusability, which savestime and facilitates reproducibility. The syntax of the simulator leads tosimulation code that is easily human-readable. Other benefits of using thesimulator include the ability to "step in" to a simulation and change oneaspect without having to rerun the entire simulation from scratch, thestraightforward integration of parallel computing into simulations, and theability to rapidly generate plots, tables, and reports with minimal effort.

The Simulator: An Engine to Streamline Simulations