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Re: st: How to tackle the r1400 error message
From
[email protected] (Roberto G. Gutierrez, StataCorp)
To
[email protected]
Subject
Re: st: How to tackle the r1400 error message
Date
Thu, 26 Aug 2010 09:54:01 -0500
Nicola Man <[email protected]> asks:
> I am running into problems with numerical overflow according to the r(1400)
> error message, but really wanted to fit the multi-level model I am fitting.
> It was working fine with the model fitting only random effects and
> intercept.
> When I added a few other fixed effects, it still managed to chuck out
> something (though not very sensible) when I ran xtmelogit with intpoints(1).
> I then tried subsequently to fit with higher number of integration points.
> This is when I start getting "initial values not feasible" with r(1400).
Maarten Buis <[email protected]> offers excellent advice on rescaling
your variables and on ensuring that baseline is reasonable for your model.
I would add that we've also improved the random-effects estimation strategy
that -xtmelogit- uses as a step toward calculating the log-likelihood. This
addition was made in the 11feb2010 ado update of Stata 11, and a side effect
of this refinement is a reduced incidence of the r(1400) error.
If your Stata 11 is fully up-to-date and the model persists, feel free to
email me with the data and I can take a closer look.
As Nicola suspects, moving from IC to SE or MP would not change anything
concerning the above.
--Bobby
[email protected]
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