acceptanceProbability: Compute the acceptance probability for each updated design

Description Usage Arguments Author(s) References See Also

Description

Compute the acceptance probability for each updated design. It depends on the current temperature value of simulated annealing process. This is a subfunction needed for designGG, but is not directly used.

Usage

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    acceptanceProbability( designScore, newDesignScore, method, 
                           temperature )

Arguments

designScore

score of current design.

newDesignScore

score of updated design.

method

either "SA" (simulated annealing) or "MH". (Metropolis Hastings)

temperature

current temperature in simulated annealing process.

Author(s)

Yang Li <yang.li@rug.nl>, Gonzalo Vera <gonzalo.vera.rodriguez@gmail.com>
Rainer Breitling <r.breitling@rug.nl>, Ritsert Jansen <r.c.jansen@rug.nl>

References

E. Wit and J. McClure. Statistics for Microarrays: Design, Analysis and Inference. (2004) Chichester: Wiley.
Y. Li, R. Breitling and R.C. Jansen. Generalizing genetical genomics: the added value from environmental perturbation, Trends Genet (2008) 24:518-524.
Y. Li, M. Swertz, G. Vera, J. Fu, R. Breitling, and R.C. Jansen. designGG: An R-package and Web tool for the optimal design of genetical genomics experiments. BMC Bioinformatics 10:188(2009)
http://gbic.biol.rug.nl/designGG

See Also

designGG



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