A framework for performing simulations such as those common in methodological statistics papers. The design principles of this package are described in greater depth in Bien, J. (2016) "The simulator: An Engine to Streamline Simulations," which is available at < http://faculty.bscb.cornell.edu/~bien/simulator.pdf>.
The simulator is an R package that streamlines the process of performing simulations by creating a common infrastructure that can be easily used and reused across projects. The paper The Simulator: An Engine to Streamline Simulations discusses the simulator in greater depth.
The easiest way to install the simulator is by using the devtools R package (if not already installed, open R and type
install.packages("devtools")). To install simulator, type
in R. This installs
simulator from github.
The Getting Started vignette walks you through setting up your first simulation with the simulator.
The best way to get a sense of how to use the simulator is to look at examples. There are several vignettes that demonstrate how the simulator can be used to conduct simulations for some of the most famous statistical methods.