On 8/21/06, Martin Maechler <[EMAIL PROTECTED]> wrote: > Hi Göran, > > >>>>> "GB" == Göran Broström <[EMAIL PROTECTED]> > >>>>> on Mon, 21 Aug 2006 11:12:49 +0200 writes: > > GB> A new version, 0.65-1, of glmmML is now on CRAN. It is a major rewrite > GB> of the inner structures, so frequent updates (bug fixes) may be > GB> expected for some time. > > > GB> News: > > [............] > > Sorry for my lazy question : > > What does the package do that lmer() does not?
Quite a bit, actually. Göran has the adaptive Gauss-Hermite quadrature method in glmmML and it is not yet available in lmer. I definitely plan to make it available but it has not reached the top of the "TO DO" list. Also, as Göran pointed out to me, glmmML works with the two-column matrix form of the response for a binomial generalized linear mixed model but the answers from lmer are spurious. Something about the weights that I still haven't sorted out. > I do know that you are a smart person so I know I will get a non-trivial > answer. The main reason for this e-mail is really to encourage you (and > all other 'R-packages' posters) to do the following in each > posting to R-packages: > > 1) [One paragraph:] > What does the package do // why do you see a need for the > package // what's the bigger context ? > > 2) [another paragraph (or two...):] > News etc > > Since the R-packages archives are relatively prominently listed > as part of "News" on the R project website, (and also since I > encourage ``everyone'' to subscribe to R-packages,) > > I think the extra information in "1)" above would be appropriate > for every posting to R-packages. > > Martin Maechler, ETH Zurich > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.