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For a scalar beta, beta ~ dnorm(zero, tau) I(betalower, betaupper); will produce gibbs sampling variates that only fall within betalower and betaupper. I need to do a multivariate version of I() as explained below. In a data analysis problem involving correlated censored variables, I need to produce VECTOR gibbs sampling variates that are constrained to fall within hyperrectangles. I would like to do something like: beta[] ~ dmnorm(zero[], omega[,]) I(betalower[], betaupper[]) where beta[] is now a vector, betalower[] and betaupper[] now mark the limits of the acceptable hyperrectangle. The above statement does not work as is, presumably because I() does not handle vectors. Is there any way in BUGS to specify acceptable regions on VECTOR nodes? Thank you, - Anand ----------------------------------------------------------------- Anand V. Bodapati Rm 492, Leverone Assistant. Professor Phone: (847)467-2767 Kellogg Graduate School of Management Sec'y: (847)491-3522 Northwestern University Fax: (847)491-2498 Evanston, IL 60208-2001 Email: [log in to unmask] %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%