[R] slow loops in Monte Carlo Simulations

[Witold Eryk Wolski]

Hi!

Have you taken a look at the MCMCpack - package on cran:
"This package contains functions for posterior simulation for a number 
of statistical models. All simulation is done in compiled C++ written in 
the Scythe Statistical Library Version 1.0. All models return coda mcmc 
objects that can then be summarized using the coda package."

/E

Nael Al Anaswah wrote:

>Hi there,
>
>I am running Monte Carlo Simulations in R using ordinary "while 
>(condition)" loops. Since the number of iterations is something like 
>100.000 and within each iteration a given subsample is extended 
>sequentially it takes hours to run the simulation. 
>
>Does anyone know if there is either a way to avoid using loops in 
>Monte Carlo Simulations or how to include possible faster "c++" 
>commands in R code?
>
>many thanks in advance.
>
>Nael Al-Anaswah
>
>
>
>-----------------------------------------------------
>Nael Al-Anaswah
>Department of Econometrics
>University of Muenster
>Germany
>
>______________________________________________
>R-help at stat.math.ethz.ch mailing list
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>PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
>
>  
>


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Dipl. bio-chem. Witold Eryk Wolski         
MPI-Moleculare Genetic
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