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