simTool: Conduct Simulation Studies with a Minimal Amount of Source Code
Tool for statistical simulations that have two components.
One component generates the data and the other one
analyzes the data. The main aims of the 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 it. Parallel computing is
also supported. Finally, convenient functions are provided to summarize the
simulation results.
| Version: |
1.1.8 |
| Depends: |
R (≥ 2.14.0) |
| Imports: |
dplyr (≥ 0.7.2), purrr (≥ 0.2.3), tidyr (≥ 1.0.0), tibble (≥ 2.0.0), vctrs (≥ 0.3.0), parallel, methods |
| Suggests: |
ggplot2, knitr, boot, broom, rmarkdown, tinytest, lintr, roxygen2, covr |
| Published: |
2025-04-09 |
| DOI: |
10.32614/CRAN.package.simTool |
| Author: |
Marsel Scheer [aut, cre] |
| Maintainer: |
Marsel Scheer <scheer at freescience.de> |
| BugReports: |
https://github.com/MarselScheer/simTool/issues |
| License: |
GPL-3 |
| URL: |
https://marselscheer.github.io/simTool/ |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
simTool results |
Documentation:
Downloads:
Reverse dependencies:
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