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

Documentation:

Reference manual:

simFrame.pdf

Downloads:

Package source:	simFrame_0.5.4.tar.gz
Windows binaries:	r-devel: simFrame_0.5.4.zip, r-release: simFrame_0.5.4.zip, r-oldrel: simFrame_0.5.4.zip
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

Linking:

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