fitting glmer after using doFit=FALSE

Samuel Bussmann <bussmann.1 at ...> writes:

 I have a question concerning the lme4 package -- specifically the
glmer function.  I am attempting to use doFit=FALSE to output and
make edits to model matrices in order to accommodate a special form
of the random effect. I can't seem to find out what function is used
to fit the updated model matrices. I tried update and refit with
no success. Any advice you could offer would be much appreciated.

Based on a look inside the lmer function, which has the following
snippet:

    if (doFit) {
        ans <- do.call(lmer_finalize, ans)
        ans at call <- mc
    }

It looks like this is what you want:

library("lme4.0") ## this is equivalent to CRAN-lme4
tmp <- lmer(Reaction ~ Days + (Days|Subject), sleepstudy, doFit=FALSE)
ans <- do.call(lme4.0:::lmer_finalize, tmp)

I would also encourage you to try the development version
of lme4, which you can install from github:

library("devtools")
install_github("lme4","lme4")

   It offers finer control of the details of the construction
and fitting process (help("modular"))

  Ben Bolker