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 coding issues, such as automatically re-simulating non-convergent results, prevents inadvertently overwriting 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>.

Package details

AuthorPhil Chalmers [aut, cre] (<https://orcid.org/0000-0001-5332-2810>), Matthew Sigal [ctb], Ogreden Oguzhan [ctb]
MaintainerPhil Chalmers <rphilip.chalmers@gmail.com>
LicenseGPL (>= 2)
Version2.6
URL https://github.com/philchalmers/SimDesign https://github.com/philchalmers/SimDesign/wiki
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("SimDesign")

Try the SimDesign package in your browser

Any scripts or data that you put into this service are public.

SimDesign documentation built on June 28, 2021, 5:17 p.m.