lme4a, glmer and all that
On Thu, Mar 4, 2010 at 9:34 AM, Federico Calboli
<f.calboli at imperial.ac.uk> wrote:
Dear Doug,
This is a good news - bad news announcement. ?As Ben Bolker indicated in a recent thread, the lme4a version of the lme4 package is undergoing rapid development and the capability of fitting generalized linear mixed models with glmer has recently been added.
I did not pay tons of attention to what was going so I take to opportunity to ask: is lme4a somethink akin a transition that will automagically replace lme4 once you're happy with it or will I have to install it side by side?
The former. It is such a departure from the earlier formulation that I needed to develop it in a separate area until I could get all the pieces working.
The bad news is that I can't reproduce the results from a GLMM fit using the currently released lme4 package and I am suspicious that the results from the current version of lme4 are the inaccurate ones. Although I'm still trying to verify this (and I would appreciate help - see below), I would recommend that you do not quote results from a GLMM fit with version 0.999375-32 of the lme4 package. Having others trust the results from this software and then find out that these are wrong is about the worst thing that I can imagine happening in my work. ?If this is the case I sincerely apologize.
Ok, no problem! In a way that kind of resolves my attempt of replacing clogit() with lmer, and I'm grateful for your warning. I could try build lme4a --should I do it, would it be of any help if I sent you the results? I do not have any other software to compare with, just other R packages. Best, Federico -- Federico C. F. Calboli Department of Epidemiology and Biostatistics Imperial College, St. Mary's Campus Norfolk Place, London W2 1PG Tel +44 (0)20 75941602 ? Fax +44 (0)20 75943193 f.calboli [.a.t] imperial.ac.uk f.calboli [.a.t] gmail.com
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