The R Journal: article published in 2014, volume 6:2

Applying spartan to Understand Parameter Uncertainty in Simulations
Kieran Alden, Mark Read, Paul S Andrews, Jon Timmis and Mark Coles , The R Journal (2014) 6:2, pages 63-80.

Abstract In attempts to further understand the dynamics of complex systems, the application of computer simulation is becoming increasingly prevalent. Whereas a great deal of focus has been placed in the development of software tools that aid researchers develop simulations, similar focus has not been applied in the creation of tools that perform a rigorous statistical analysis of results generated through simulation: vital in understanding how these results offer an insight into the captured system. This encouraged us to develop spartan, a package of statistical techniques designed to assist researchers in understanding the relationship between their simulation and the real system. Previously we have described each technique within spartan in detail, with an accompanying immunology case study examining the development of lymphoid tissue. Here we provide a practical introduction to the package, demonstrating how each technique is run in R, to assist researchers in integrating this package alongside their chosen simulation platform.

Received: 2014-04-08; online 2014-09-30
CRAN packages: spartan, lhs, gplots, XML
CRAN Task Views implied by cited CRAN packages: Distributions, ExperimentalDesign, Graphics, WebTechnologies

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

@article{RJ-2014-025,
  author = {Kieran Alden and Mark Read and Paul S Andrews and Jon Timmis
          and Mark Coles},
  title = {{Applying spartan to Understand Parameter Uncertainty in
          Simulations}},
  year = {2014},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2014-025},
  url = {https://doi.org/10.32614/RJ-2014-025},
  pages = {63--80},
  volume = {6},
  number = {2}
}