[ADMB Users] Random effect as finite mixture

[Shige Song]

Dear All,

I am new to ADMB and find the approach it adopts very interesting. One thing
I would like to know is: does ADMB handle models in which the random effects
are not parameterized as continuous distributions (normal, gamma, etc.) but
as discrete categories (e.g. finite mixture)? Handling finite mixture is
computation intensive and tends to be very slow for most statistical
packages; it can be a great strength (if ADMB handles it) of the unique
approach adopted by ADMB.

I would appreciate some examples, if any are available.

Many thanks.

Best,
Shige
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