acceptanceProbability: Compute the acceptance probability for each updated design
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
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.
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