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Re: st: GLLAMM - flat or discontinuous region encountered (binary, logit)
Hello, you are right - I must not use the sevar as linear predictor.
Another problem was setting the commands like this:
eq sefac: I sevar
gllamm fetsobrev, i(nordem) family(binomial) link(logit) nocons eq(sefac) trace
It worked when I changed the intercept (I) to the command:
eq sefac: sevar
gllamm fetsobrev I, i(nordem) family(binomial) link(logit) nocons eq(sefac)
trace
Thank you,
Gizelton.
Citando Stas Kolenikov <[email protected]>:
> On 1/10/07, [email protected] <[email protected]> wrote:
> > Hello.
> >
> > I am working on a case of using GLLAMM for structural equation modeling
> with a
> > binary outcome - it is a path model, with one latent variable, and I
> received
> > the message (Stata 9.2):
> >
> > "
> > numerical derivatives are approximate
> > flat or discontinuous region encountered
> > "
>
> If your estimation process strandled into an area with the linear
> predictor around 60, then indeed you won't see much change in the
> likelihood around that area even if you make huge steps of 10. And
> also you might have identification problems as your random effect
> variance seems to depend on the same variable as your linear
> predictor, so what you have as a result is the equation that looks
> like (a + bx)/(c + dx) which may not be identifiable unless you fix
> some parts of it.
>
> --
> Stas Kolenikov
> http://stas.kolenikov.name
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