SimDesign | R Documentation |
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
, while
for array jobs submitting to HPC clusters (e.g., SLURM) see runArraySimulation
and the associated package vignettes.
For an in-depth tutorial of the package please refer to
Chalmers and Adkins (2020; \Sexpr[results=rd]{tools:::Rd_expr_doi("10.20982/tqmp.16.4.p248")}).
For an earlier didactic presentation of the package users can refer to Sigal and Chalmers
(2016; \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/10691898.2016.1246953")}). Finally, 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.
Phil Chalmers rphilip.chalmers@gmail.com
Chalmers, R. P., & Adkins, M. C. (2020). Writing Effective and Reliable Monte Carlo Simulations
with the SimDesign Package. The Quantitative Methods for Psychology, 16
(4), 248-280.
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.20982/tqmp.16.4.p248")}
Sigal, M. J., & Chalmers, R. P. (2016). Play it again: Teaching statistics with Monte
Carlo simulation. Journal of Statistics Education, 24
(3), 136-156.
\Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/10691898.2016.1246953")}
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