Re: st: -gllamm- vs -meglm-

[Daniel Waxman <dan@amplecat.com>]

containing such large groups..."

3,000 observations in a group isn't what it used to be!  There are
many of us who routinely work with gigabytes of data, and it would be
helpful if Stata's documentation made it clear from the outset that
some estimation routines are not meant for us, if they are not.

Somehow SAS's glimmix routine is able to fit at least single random
intercept logistic models on huge datasets relatively quickly (and it
does so while using very little memory).    To the extent that the
Stata development team is willing to comment on a competing product,
I'd be interested on their take on whether Stata will be able to do
the same any time soon.

Thanks!
Dan
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