[R-sig-ME] Implausible estimate of random effects variance in lmer (lme4 devel version), sensible estimate in CRAN version
Ben Bolker
bbolker at gmail.com
Fri Sep 20 00:39:08 CEST 2013
Kevin Wright <kw.stat at ...> writes:
>
> > Or is
> > it easier just to accept that some models work with some optimizers
> > and not with others?
> >
>
> I've spent a lot of time comparing results from SAS, asreml, nlme and lme4
> (old/new). Sometimes you just get different results, no matter how hard
> you try. Your example is the 2nd or 3rd case that I've seen where
> nelder_mead is giving substantially different results from bobyqa. It
> would be great if you could investigate your data and see if you can adjust
> the settings of nelder_mead to get better results. This would be useful
> information.
>
> Kevin
>
I don't have an answer yet, but I've posted this as
https://github.com/lme4/lme4/issues/130
...
Kevin, I wonder if you can comment on the divergence among the
other platforms I'm less familiar with (SAS/AS-REML) as well as
nlme/lme4[old]/lme4[new] ... do you get the sense that new-lme4
is an outlier, or is it just more general variation? (I'm not
asking for anything precise, just your sense of the problem ...)
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