simFrame-package {simFrame} | R Documentation |
Simulation Framework
Description
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.
Details
The DESCRIPTION file:
Package: | simFrame |
Version: | 0.5.4 |
Title: | Simulation Framework |
Date: | 2021-10-11 |
Depends: | R (>= 3.0.0), Rcpp (>= 0.8.6), lattice, parallel |
Imports: | methods, stats4 |
LinkingTo: | Rcpp |
Description: | 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. |
License: | GPL (>= 2) |
LazyLoad: | yes |
Authors@R: | c(person("Andreas", "Alfons", email = "alfons@ese.eur.nl", role = c("aut", "cre")), person("Yves", "Tille", role = "ctb", comment = "original R code of certain sampling algorithms"), person("Alina", "Matei", role = "ctb", comment = "original R code of certain sampling algorithms")) |
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@ese.eur.nl> |
Encoding: | UTF-8 |
Index of help topics:
BasicVector-class Class "BasicVector" ContControl Create contamination control objects ContControl-class Class "ContControl" DARContControl-class Class "DARContControl" DCARContControl-class Class "DCARContControl" DataControl-class Class "DataControl" NAControl-class Class "NAControl" NumericMatrix-class Class "NumericMatrix" OptBasicVector-class Class "OptBasicVector" OptCall-class Class "OptCall" OptCharacter-class Class "OptCharacter" OptContControl-class Class "OptContControl" OptDataControl-class Class "OptDataControl" OptNAControl-class Class "OptNAControl" OptNumeric-class Class "OptNumeric" OptSampleControl-class Class "OptSampleControl" SampleControl-class Class "SampleControl" SampleSetup-class Class "SampleSetup" SimControl-class Class "SimControl" SimResults-class Class "SimResults" Strata-class Class "Strata" SummarySampleSetup-class Class "SummarySampleSetup" TwoStageControl-class Class "TwoStageControl" VirtualContControl-class Class "VirtualContControl" VirtualDataControl-class Class "VirtualDataControl" VirtualNAControl-class Class "VirtualNAControl" VirtualSampleControl-class Class "VirtualSampleControl" aggregate-methods Method for aggregating simulation results clusterRunSimulation Run a simulation experiment on a cluster clusterSetup Set up multiple samples on a cluster contaminate Contaminate data draw Draw a sample eusilcP Synthetic EU-SILC data generate Generate data getAdd Accessor and mutator functions for objects getStrataLegend Utility functions for stratifying data head-methods Methods for returning the first parts of an object inclusionProb Inclusion probabilities length-methods Methods for getting the length of an object plot-methods Plot simulation results runSimulation Run a simulation experiment setNA Set missing values setup Set up multiple samples simApply Apply a function to subsets simBwplot Box-and-whisker plots simDensityplot Kernel density plots simFrame-package Simulation Framework simSample Set up multiple samples simXyplot X-Y plots srs Random sampling stratify Stratify data summary-methods Methods for producing a summary of an object tail-methods Methods for returning the last parts of an object
Author(s)
Andreas Alfons [aut, cre]; C++ implementations of certain sampling algorithms are based on R code by Yves Tille and Alina Matei.
Maintainer: Andreas Alfons <alfons@ese.eur.nl>
References
Alfons, A., Templ, M. and Filzmoser, P. (2010) An Object-Oriented Framework for Statistical Simulation: The R Package simFrame. Journal of Statistical Software, 37(3), 1–36. doi: 10.18637/jss.v037.i03.