SimDesign: Structure for Organizing Monte Carlo Simulation Designs (original) (raw)

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>.

Version:	2.19.2
Depends:	R (≥ 4.1.0)
Imports:	methods, testthat, parallel, parallelly, dplyr, sessioninfo, beepr, pbapply (≥ 1.3-0), future, future.apply, progressr, R.utils, stats
Suggests:	knitr, ggplot2, tidyr, purrr, shiny, copula, extraDistr, renv, cli, job, future.batchtools, FrF2, rmarkdown, RPushbullet, httr
Published:	2025-03-28
DOI:	10.32614/CRAN.package.SimDesign
Author:	Phil Chalmers [aut, cre], Matthew Sigal [ctb], Ogreden Oguzhan [ctb], Mikko Ronkko [ctb], Moritz Ketzer [ctb]
Maintainer:	Phil Chalmers <rphilip.chalmers at gmail.com>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	http://philchalmers.github.io/SimDesign/,https://github.com/philchalmers/SimDesign/wiki
NeedsCompilation:	no
Citation:	SimDesign citation info
Materials:	README NEWS
CRAN checks:	SimDesign results

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