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>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: simFrame citation info
Materials: NEWS
In views: MissingData
CRAN checks: simFrame results


Reference manual: simFrame.pdf


Package source: simFrame_0.5.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): simFrame_0.5.4.tgz, r-oldrel (arm64): simFrame_0.5.4.tgz, r-release (x86_64): simFrame_0.5.4.tgz, r-oldrel (x86_64): simFrame_0.5.4.tgz
Old sources: simFrame archive

Reverse dependencies:

Reverse suggests: emdi, GB2, povmap, saeTrafo


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