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 issues, such as automatically re-simulating non-convergent results, prevents inadvertently overwriting of simulation files, catches error and warning messages during execution, and implicitly supports parallel processing. 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: 2.5
Depends: R (≥ 3.5.0)
Imports: foreach, methods, parallel, dplyr, sessioninfo, pbapply (≥ 1.3-0), RPushbullet, stats
Suggests: knitr, ggplot2, tidyr, shiny, doMPI, copula, extraDistr, renv, rmarkdown
Published: 2021-06-01
Author: Phil Chalmers ORCID iD [aut, cre], Matthew Sigal [ctb], Ogreden Oguzhan [ctb]
Maintainer: Phil Chalmers <rphilip.chalmers at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: SimDesign citation info
Materials: NEWS
CRAN checks: SimDesign results


Reference manual: SimDesign.pdf
Vignettes: Catching errors
Exporting objects and functions from the workspace
Parallel computing
Saving additional simulation results and state
Introduction to the SimDesign package
Package source: SimDesign_2.5.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SimDesign_2.5.tgz, r-release (x86_64): SimDesign_2.5.tgz, r-oldrel: SimDesign_2.5.tgz
Old sources: SimDesign archive

Reverse dependencies:

Reverse suggests: mirtCAT


Please use the canonical form to link to this page.