read_knobjs: Summarizes pre-computed results.
In pauwels2014: Bayesian Experimental Design for Systems Biology.

Description Usage Arguments Details Value Author(s) See Also Examples

Allows to reproduce the figures of the paper (see also vignette).

1	read_knobjs(objs)

objs

A table of strings representing names of objects given in knobjs.

The function computes the risk of the estimated posterior mean as a function of credit spent for each object.

A list of tables, one for each string. For each of them, the first line is the risk of the posterior sample mean and the second line is the credit spent.

Edouard Pauwels

knobjs

data(knobjs)
data(exps)
sapply(	
	1:length(knobjs),
	function(k){
		assign(names(knobjs)[k], knobjs[[k]], envir = .GlobalEnv)
	}
)

read_knobjs(paste("knobjActMult", 1:10, sep=""))