https://github.com/aalfons/simframe
A general framework for statistical simulation
Science Score: 13.0%
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A general framework for statistical simulation
Statistics
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Created over 13 years ago
· Last pushed over 4 years ago
https://github.com/aalfons/simFrame/blob/master/
# simFrame: Simulation Framework
[](https://CRAN.R-project.org/package=simFrame)
A general framework for statistical simulation, which allows researchers to make use of a wide range of simulation designs with minimal programming effort. The package provides functionality for drawing samples from a distribution or a finite population, for adding outliers and missing values, as well as for visualization of the simulation results. It follows a clear object-oriented design and supports parallel computing to increase computational performance.
To cite package `simFrame` in publications, please use:
A. Alfons, M. Templ & P. Filzmoser (2010). An Object-Oriented Framework for Statistical Simulation: The R Package simFrame. *Journal of Statistical Software*, 37(3), 1-36. DOI [10.18637/jss.v037.i03](https://doi.org/10.18637/jss.v037.i03).
## Installation
Package `simFrame` is on CRAN (The Comprehensive R Archive Network), hence the latest release can be easily installed from the `R` command line via
```
install.packages("simFrame")
```
## Vignettes
CRAN requires that *suggested* packages, such as those only used in examples and vignettes, are only used conditionally with `requireNamespace("")` so that `R CMD check` still goes through even if those package are not installed. The vignettes rely heavily on packages `laeken`, `mvtnorm`, and `robCompositions`, and using them conditionally would greatly impair the readability of the vignettes.
Therefore the vignettes are no longer included in `simFrame` version 0.5.4. Instead, they can be found here in folder `vignettes`:
* `simFrame-intro.pdf`: The general introduction to the package based on the
above mentioned article in the *Journal of Statistical Software*.
* `simFrame-eusilc.pdf`: Additional examples for design-based simulations using synthetic EU-SILC population data.
## Report issues and request features
If you experience any bugs or issues or if you have any suggestions for additional features, please submit an issue via the [*Issues*](https://github.com/aalfons/simFrame/issues) tab of this repository. Please have a look at existing issues first to see if your problem or feature request has already been discussed.
## Contribute to the package
If you want to contribute to the package, you can fork this repository and create a pull request after implementing the desired functionality.
Owner
- Name: Andreas Alfons
- Login: aalfons
- Kind: user
- Location: Rotterdam, Netherlands
- Company: Erasmus University Rotterdam
- Website: https://personal.eur.nl/alfons/
- Repositories: 11
- Profile: https://github.com/aalfons