I'm using an undocumented (pre-release 64-bit version)
of HLM6 which I assume uses restricted ML (I'll have to
check with Richard Congdon).
Using a single integration point (ie, Laplace iteration)
for -xtmelogit-, the empty model took 2hours 2 mins to
converge.
I suppose the -xtmelogit- result is more accurate, esp
in estimating the variance terms, but for my purposes
- especially until I have a final set of models - the HLM
results will do.
I think the problem is low rates for my outcome variables,
on the order of 5% or less.
thanks,
Jeph
Joseph Coveney wrote:
Just curious: what algorithm are you having HLM use to fit the mixed
effects
logistic model? Could you get the same accuracy in the same run time
with a
single integration point with -xtmelogit-?
Joseph Coveney
Jeph Herrin wrote:
Two things:
1. I ran the empty model (no predictors) using -xtmelogit-
and it was still going after 24 hours. I have dozens of models
to run; HLM6 did them *all* in less than 20 minutes.
Not sure if that counts as functionality.
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