> Does anybody know what are the attributes of a glm fit object that will allow
> the "predict call" to produce an se.fit?
>
>....
>
> I believe the covariance matrix of the coefficients is all that should be
> needed
> and that is quite small. However, the covariance matrix is not an attribute of
> the model object.
Try saving the summary object? That includes the covariances (scaled and
unscaled). See ?summary.glm. It might also leave you with a smaller object,
though I'm not sure about that.
Also note that on this list, when prediction from glm comes up, there's a
strong likelihood that someone will point out that the covariances are not
necessarily sufficient for reliable confidence intervals on prediction (and
look! that just happened). You might want to hunt around for more authoritative
comment on that if the intervals/standard errors are critical for something .
S Ellison
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