[Gretl-devel] Restricted estimation in bulti-in ML setups?

Hi, I think it is not currently possible to do restricted ML estimation with the built-in estimators (apart from the special case OLS), otherwise I would have formulated this as a question and sent to gretl-users instead. Before someone answers "do your own mle block", I'm aware of that possibility but that's not the point. For example in the ordered probit model I have checked that one can test restrictions on the thresholds (cut points) with a standard "restrict ... end restrict" command block. This raised the question of why actually it isn't possible (easily...) to impose that restriction in ML estimation. Note that the probit is just an example, in principle I guess this would apply to many (all?) estimators that are built on ML and which already allow to test a restriction on an element of $coeff. I could imagine that in some model contexts arbitrarily restricting some parameter might induce ill-behaved likelihood function shapes. But in principle it should be OK, no? Thanks, sven