Structure for Organizing Monte Carlo Simulation Designs
Provides tools to help organize Monte Carlo simulations in R. The package
controls the structure and back-end of Monte Carlo simulations
by utilizing a general generate-analyse-summarise strategy. The functions provided control common
simulation issues such as re-simulating non-convergent results, support parallel
back-end and MPI distributed computations, save and restore temporary files,
aggregate results across independent nodes, and provide native support for debugging.
The primary function for organizing the simulations is runSimulation.
For a didactic presentation of the package refer to Sigal and Chalmers
(2016; 10.1080/10691898.2016.1246953), and see the associated
wiki on Github (https://github.com/philchalmers/SimDesign/wiki)
for other tutorial material, examples, and applications of SimDesign to real-world simulations.
Sigal, M. J., & Chalmers, R. P. (2016). Play it again: Teaching statistics with Monte
Carlo simulation. Journal of Statistics Education, 24(3), 136-156.
10.1080/10691898.2016.1246953