Description Details Author(s) References
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.
The DESCRIPTION file:
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Andreas Alfons [aut, cre]; C++ implementations of certain sampling algorithms are based on R code by Yves Tille and Alina Matei.
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
Alfons, A., Templ, M. and Filzmoser, P. (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.
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