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>.

Package details

AuthorPhil Chalmers [aut, cre] (<https://orcid.org/0000-0001-5332-2810>), Matthew Sigal [ctb], Ogreden Oguzhan [ctb], Mikko Ronkko [ctb]
MaintainerPhil Chalmers <rphilip.chalmers@gmail.com>
LicenseGPL (>= 2)
Version2.17.1
URL http://philchalmers.github.io/SimDesign/ https://github.com/philchalmers/SimDesign/wiki
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SimDesign")

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SimDesign documentation built on Sept. 11, 2024, 8 p.m.