I’m modeling a problem where the bounds differ by observation (specifically event counts are limited by the a number of opportunities available). Am I reading the docs correctly for the Censored distribution that bounds must be scalar values? I’ve tried passing a vector to the upper parameter but the resulting parameter values are all constant (while the same model, ignoring the censoring bias, produces reasonable results).
Would I need to implement the Censored functionality myself with the CDF of the target distributions?