Simulation Framework
Accessor and mutator functions for objects
Method for aggregating simulation results
Class "BasicVector"
Run a simulation experiment on a cluster
Set up multiple samples on a cluster
Contaminate data
Class "ContControl"
Create contamination control objects
Class "DARContControl"
Class "DataControl"
Class "DCARContControl"
Draw a sample
Generate data
Methods for returning the first parts of an object
Inclusion probabilities
Methods for getting the length of an object
Class "NAControl"
Class "NumericMatrix"
Class "OptBasicVector"
Class "OptCall"
Class "OptCharacter"
Class "OptContControl"
Class "OptDataControl"
Class "OptNAControl"
Class "OptNumeric"
Class "OptSampleControl"
Plot simulation results
Run a simulation experiment
Class "SampleControl"
Class "SampleSetup"
Random sampling
Set missing values
Set up multiple samples
Apply a function to subsets
Box-and-whisker plots
Class "SimControl"
Kernel density plots
tools:::Rd_package_title("simFrame")
Class "SimResults"
Set up multiple samples
X-Y plots
Class "Strata"
Utility functions for stratifying data
Stratify data
Methods for producing a summary of an object
Class "SummarySampleSetup"
Methods for returning the last parts of an object
Class "TwoStageControl"
Class "VirtualContControl"
Class "VirtualDataControl"
Class "VirtualNAControl"
Class "VirtualSampleControl"
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.