Compute the acceptance probability for each updated design

Share:

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

1
2
    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