I agree that the model is not fitting the Lesaffre data well, but my point was
to show that glmmADMB is numerically stable. Numerical
stability is obviously a nice property, but becomes particularly important
when one wants to do parametric bootstrappin, which I think is needed
for these kinds of
Douglas Bates wrote:
The Laplace method in lmer and the default method in glmm.admb,
which according to the documentation is the Laplace approximation,
produce essentially the same model fit. One difference is the
reported value of the log-likelihood, which we should cross-check, and
another
/phpbb/ for discussions
about the software.
Regards,
Hans
_
Hans Julius Skaug
Department of Mathematics
University of Bergen
Johannes Brunsgate 12
5008 Bergen
Norway
ph. (+47) 55 58 48 61
__
R-help@stat.math.ethz.ch mailing
to model misspecification? (I mean beyond large-sample theory).
5) Finally, of course, then making the scripts available for forsenic
investigations.
Cheers,
Andrew
_
Hans Julius Skaug
Department of Mathematics
University of Bergen
Johannes Brunsgate
