simFrame: Simulation Framework
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.
| Version: | 0.5.4 | 
| Depends: | R (≥ 3.0.0), Rcpp (≥ 0.8.6), lattice, parallel | 
| Imports: | methods, stats4 | 
| LinkingTo: | Rcpp | 
| Published: | 2021-10-14 | 
| DOI: | 10.32614/CRAN.package.simFrame | 
| Author: | Andreas Alfons [aut, cre],
  Yves Tille [ctb] (original R code of certain sampling algorithms),
  Alina Matei [ctb] (original R code of certain sampling algorithms) | 
| Maintainer: | Andreas Alfons  <alfons at ese.eur.nl> | 
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] | 
| NeedsCompilation: | yes | 
| Citation: | simFrame citation info | 
| Materials: | NEWS | 
| In views: | MissingData | 
| CRAN checks: | simFrame results | 
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