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:
Downloads:
Reverse dependencies:
Linking:
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