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.


[Package simFrame version 0.5.4 Index]