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st: Improvement in the goodness of fit and correctly predicted counts with IPF
From
"Luis Ortiz" <[email protected]>
To
<[email protected]>
Subject
st: Improvement in the goodness of fit and correctly predicted counts with IPF
Date
Fri, 9 Apr 2010 19:34:18 +0200
Dear Statalisters,
As far as I've learnt, log-linear models may be run with three different
STATA commands: IPF, GLM and POISSON
The two latter ones provide a richer output, but I'm finding the computation
time too long. so that I do not have other option but to rely on the more
simple command IPF. In principle, it just provides the goodness of fit of
the model.
Does any one of you knows if there is any way of directly getting the
improvement in the goodness of fit, relative to a prior model, as well as
the proportion of cases correctly predicted by the model with IPF?
Many thanks in advance
Luis
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