Hi,

is there any way to provide initial values for stochastic nodes given in the

data{} block (i.e. nodes for which we want to fix the sampling distribution)?

I need to do this because my model uses a dinterval() construct which requires

adequate initial values to work. The sampling distribution of some of the

parameters is known so I wish to provide these in the data block so that these

do not get updated by likelihood information from the data. My initial idea

was to avoid the data{} block and provide the sampling distribution in the

model{} block. I then locked these distribution with dsum() which mimics the

use of the cut() function in BUGS. However as known dsum() used in such

fashion (or cut()) do not actually provide the correct distribution so it is

not a solution. So Im looking at a way to provide initial values for nodes in

the data{} block. Is there any such possibility in JAGS?

Thanks