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SimDesign: Structure for Organizing Monte Carlo Simulation Designs
Provides tools to safely and efficiently organize and execute Monte Carlo simulation experiments in R. The package controls the structure and back-end of Monte Carlo simulation experiments by utilizing a generate-analyse-summarise workflow. The workflow safeguards against common simulation coding issues, such as automatically re-simulating non-convergent results, prevents inadvertently overwriting simulation files, catches error and warning messages during execution, implicitly supports parallel processing with high-quality random number generation, and provides tools for managing high-performance computing (HPC) array jobs submitted to schedulers such as SLURM. For a pedagogical introduction to the package see Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more in-depth overview of the package and its design philosophy see Chalmers and Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.
Getting started
README.md
Distributing jobs for high-performance computing (HPC) clusters (e.g., via Slurm)
Exporting objects and functions from the workspace
Introduction to the SimDesign package
Managing warning and error messages
Multiple analysis functions
Parallel computing information
Saving simulation results and state
Browse package contents
Package details |
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| Author | Phil Chalmers [aut, cre] (<https://orcid.org/0000-0001-5332-2810>), Matthew Sigal [ctb], Ogreden Oguzhan [ctb], Mikko Ronkko [ctb] |
| Maintainer | Phil Chalmers <rphilip.chalmers@gmail.com> |
| License | GPL (>= 2) |
| Version | 2.17.1 |
| URL | http://philchalmers.github.io/SimDesign/ https://github.com/philchalmers/SimDesign/wiki |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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