Conduct Simulation Studies with a Minimal Amount of Source Code.

The simTool package is designed for statistical simulations that have two components. One component generates the data and the other one analyzes the data. The main aims of the simTool package are the reduction of the administrative source code (mainly loops and management code for the results) and a simple applicability of the package that allows the user to quickly learn how to work with the simTool package. Parallel computing is also supported. Finally, convenient functions are provided to summarize the simulation results.


An R-Package that facilitates simulation studies. It disengages the researcher from administrative source code.

The simTool package is designed for statistical simulations that have two components. One component generates the data and the other one analyzes the data. The main aims of the simTool package are the reduction of the administrative source code (mainly loops and management code for the results) and a simple applicability of the package that allows the user to quickly learn how to work with the simTool package. Parallel computing is also supported. Finally, convenient functions are provided to summarize the simulation results.

To install:

  • For the latest version: devtools::install_github("MarselScheer/simTool")
  • For the CRAN version: install.packages("simTool")

News

Version 1.0.3

Misc:

  • Adapted how libraries are loaded onto the cluster

Version 1.0.2

New Features:

  • The convenient function meanAndNormCI added

Misc:

  • Two parameter renamed (post.proc to summary.fun and value.fun to convert.result.fun). Of course, renaming parameters is one of the worst things one can do. On the other hand, only very few users will be affected by these changes.

Version 1.0.1

New Features:

  • summarizing functions process also logical results (not only numeric)

Misc:

  • HTML vignette (LaTeX not necessary anymore)
  • additional documentation (static pdf in JSS style)

Version 1.0

Initial release

  • parallel computing via parallel and the ideas of L'Ecuyer 1999, 2002 for random numbers
  • fallback capability
  • text progress bar
  • estimation of the number of replications per hour

Reference manual

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install.packages("simTool")

1.0.3 by Marsel Scheer, 3 years ago


Browse source code at https://github.com/cran/simTool


Authors: Marsel Scheer <scheer@freescience.de>


Documentation:   PDF Manual  


GPL-3 license


Imports plyr, reshape, parallel

Suggests ggplot2, knitr, boot, RUnit


See at CRAN