simFrame
swMATH ID:  8021 
Software Authors:  Alfons, Andreas; Templ, Matthias; Filzmoser, Peter 
Description:  An ObjectOriented Framework for Statistical Simulation: The R Package simFrame. Simulation studies are widely used by statisticians to gain insight into the quality of developed methods. Usually some guidelines regarding, e.g., simulation designs, contamination, missing data models or evaluation criteria are necessary in order to draw meaningful conclusions. The R package simFrame is an objectoriented framework for statistical simulation, which allows researchers to make use of a wide range of simulation designs with a minimal effort of programming. Its objectoriented implementation provides clear interfaces for extensions by the user. Since statistical simulation is an embarrassingly parallel process, the framework supports parallel computing to increase computational performance. Furthermore, an appropriate plot method is selected automatically depending on the structure of the simulation results. In this paper, the implementation of simFrame is discussed in great detail and the functionality of the framework is demonstrated in examples for different simulation designs. 
Homepage:  http://www.jstatsoft.org/v37/i03 
Dependencies:  R 
Related Software:  R; laeken; robustbase; simPopulation; lattice; MICE; ezsim; rstream; multicore; ggplot2; Stata; snow; SAS; data.table; sampling; VIM; Survey; robustHD; lars; mi 
Cited in:  6 Documents 
Standard Articles
1 Publication describing the Software  Year 

An ObjectOriented Framework for Statistical Simulation: The R Package simFrame Link Andreas Alfons; Matthias Templ; Peter Filzmoser 
2010

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top 5
Cited by 15 Authors
Cited in 5 Serials
2  Statistical Methods and Applications 
1  Statistica Neerlandica 
1  Computational Statistics 
1  Computational Statistics and Data Analysis 
1  The Annals of Applied Statistics 
Cited in 2 Fields
6  Statistics (62XX) 
2  Game theory, economics, finance, and other social and behavioral sciences (91XX) 