I think you just code isCensored as 0 for left censored and 1 for not censored. This is because of the meaning of saying that isCensored ~ dinterval( y , limit )
dinterval gives a value of 0 below the limit and 1 above the limit. (Actually, you can put in a vector of limits.) The 0 and 1 values should not be interpreted as true and false; the 0 and 1 simply mark below or above the limit.
Hope this helps!
On Tue, Jul 16, 2013 at 12:39 PM, huyn0098 [via Doing Bayesian Data Analysis] <[hidden email]> wrote: