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: |
2.17.1 |
Depends: |
R (≥ 3.5.0) |
Imports: |
methods, testthat, parallel, parallelly, snow, dplyr, sessioninfo, beepr, pbapply (≥ 1.3-0), RPushbullet, future, future.apply, progressr, R.utils, stats |
Suggests: |
knitr, ggplot2, tidyr, purrr, shiny, copula, extraDistr, renv, cli, job, future.batchtools, FrF2, rmarkdown |
Published: |
2024-08-17 |
DOI: |
10.32614/CRAN.package.SimDesign |
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: |
http://philchalmers.github.io/SimDesign/,
https://github.com/philchalmers/SimDesign/wiki |
NeedsCompilation: |
no |
Citation: |
SimDesign citation info |
Materials: |
README NEWS |
CRAN checks: |
SimDesign results |