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simFrame (version 0.5.4)

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.

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Version

Install

install.packages('simFrame')

Monthly Downloads

458

Version

0.5.4

License

GPL (>= 2)

Maintainer

Last Published

October 14th, 2021

Functions in simFrame (0.5.4)

DCARContControl-class

Class "DCARContControl"

NumericMatrix-class

Class "NumericMatrix"

DARContControl-class

Class "DARContControl"

NAControl-class

Class "NAControl"

BasicVector-class

Class "BasicVector"

Create contamination control objects

DataControl-class

Class "DataControl"

ContControl-class

Class "ContControl"

OptBasicVector-class

Class "OptBasicVector"

Class "OptCall"

OptNumeric-class

Class "OptNumeric"

SimControl-class

Class "SimControl"

SampleSetup-class

Class "SampleSetup"

OptSampleControl-class

Class "OptSampleControl"

OptDataControl-class

Class "OptDataControl"

SampleControl-class

Class "SampleControl"

VirtualSampleControl-class

Class "VirtualSampleControl"

TwoStageControl-class

Class "TwoStageControl"

VirtualContControl-class

Class "VirtualContControl"

SummarySampleSetup-class

Class "SummarySampleSetup"

SimResults-class

Class "SimResults"

OptCharacter-class

Class "OptCharacter"

OptContControl-class

Class "OptContControl"

Inclusion probabilities

aggregate-methods

Method for aggregating simulation results

Methods for returning the first parts of an object

clusterRunSimulation

Run a simulation experiment on a cluster

Methods for getting the length of an object

VirtualDataControl-class

Class "VirtualDataControl"

Plot simulation results

Accessor and mutator functions for objects

VirtualNAControl-class

Class "VirtualNAControl"

OptNAControl-class

Class "OptNAControl"

Synthetic EU-SILC data

Set up multiple samples on a cluster

simFrame-package

Random sampling

Set up multiple samples

Set up multiple samples

Apply a function to subsets

summary-methods

Methods for producing a summary of an object

Kernel density plots

Box-and-whisker plots

Run a simulation experiment

Set missing values

Contaminate data

stratify-utilities

Utility functions for stratifying data

Methods for returning the last parts of an object