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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:

Please use the canonical form https://CRAN.R-project.org/package=simFrame to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.