Currently, selection is based on class, reference, constraints/hints, priority, and shorthand weight. It may make sense to also allow a proposal to specify a function that takes as its arguments various information about the distribution and manipulates it arbitrarily, returning an adjustment to the proposal's priority, including -Inf to disqualify.
This could allow the proposal selection process to be more fine-grained and depend on, say, the exact arguments to the constraints and, for valued ERGMs, to the references. For example, a valued TNT proposal can self-disqualify if the range of values does not include 0.
Currently, selection is based on class, reference, constraints/hints, priority, and shorthand weight. It may make sense to also allow a proposal to specify a function that takes as its arguments various information about the distribution and manipulates it arbitrarily, returning an adjustment to the proposal's priority, including
-Inf
to disqualify.This could allow the proposal selection process to be more fine-grained and depend on, say, the exact arguments to the constraints and, for valued ERGMs, to the references. For example, a valued TNT proposal can self-disqualify if the range of values does not include 0.