Structure for Organizing Monte Carlo Simulation Designs R package SimDesign version 2.26 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>. Software Depends: R (>= 4.1.0) Imports: methods, testthat, parallel, parallelly, dplyr, sessioninfo, beepr, pbapply (>= 1.3-0), future, future.apply, progressr, R.utils, codetools, clipr, e1071, qs2, stats Suggests: snow, knitr, ggplot2, tidyr, purrr, shiny, copula, extraDistr, renv, cli, job, future.batchtools, FrF2, rmarkdown, RPushbullet, mirai, httr Phil Chalmers <rphilip.chalmers@gmail.com> Comprehensive R Archive Network (CRAN) Phil Chalmers [aut, cre] (ORCID: <https://orcid.org/0000-0001-5332-2810>), Matthew Sigal [ctb], Ogreden Oguzhan [ctb], Mikko Rönkkö [aut], Moritz Ketzer [ctb] GPL (>= 2) 2026-07-27 application/tgz https://CRAN.R-project.org/package=SimDesign doi:10.32614/CRAN.package.SimDesign