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: |
2.15 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
foreach, methods, parallel, dplyr, sessioninfo, beepr, pbapply (≥ 1.3-0), RPushbullet, future, future.apply, progressr, R.utils, stats |
| Suggests: |
knitr, ggplot2, tidyr, purrr, shiny, doMPI, copula, extraDistr, renv, cli, job, future.batchtools, FrF2, rmarkdown |
| Published: |
2024-04-11 |
| Author: |
Phil Chalmers 
[aut, cre],
Matthew Sigal [ctb],
Ogreden Oguzhan [ctb],
Mikko Ronkko [ctb] |
| Maintainer: |
Phil Chalmers <rphilip.chalmers at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/philchalmers/SimDesign,
https://github.com/philchalmers/SimDesign/wiki |
| NeedsCompilation: |
no |
| Citation: |
SimDesign citation info |
| Materials: |
README NEWS |
| CRAN checks: |
SimDesign results |