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simFrame (version 0.5.0)

simFrame-package: Simulation framework

Description

A general framework for statistical simulation.

Arguments

UML class diagram

A slightly simplified UML class diagram of the framework can be found in Figure 1 of the package vignette An Object-Oriented Framework for Statistical Simulation: The RPackage simFrame. Use vignette("simFrame-intro") to view this vignette.

Details

ll{ Package: simFrame Version: 0.5.0 Date: 2012-01-01 Depends: R (>= 2.14.0), Rcpp (>= 0.8.6), lattice, parallel Imports: lattice, methods, stats, stats4, utils Suggests: laeken, mvtnorm, robCompositions, sampling LinkingTo: Rcpp SystemRequirements: GNU make License: GPL (>= 2) LazyLoad: yes }

Index: 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

Further information is available in the following vignettes: ll{ simFrame-eusilc Applications of Statistical Simulation in the Case of EU-SILC: Using the R Package simFrame (source, pdf) simFrame-intro An Object-Oriented Framework for Statistical Simulation: The R Package simFrame (source, pdf) }

References

Alfons, A., Templ, M. and Filzmoser, P. (2010) An Object-Oriented Framework for Statistical Simulation: The RPackage simFrame. Journal of Statistical Software, 37(3), 1--36. URL http://www.jstatsoft.org/v37/i03/.