| acceptanceProbability {designGG} | R Documentation |
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.
acceptanceProbability( designScore, newDesignScore, method,
temperature )
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. |
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>
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. (submitted)
http://gbic.biol.rug.nl/designGG