I have recently discovered `memisc`, an extremely useful R package by Martin Elff (see his `memisc` page here). The package contains any number of useful functions, and is particularly good at helping one manage and recode survey data. However, by far my favorite thing about the package is the `mtable()` function. `mtable()` makes it easy to compare the results from different models from within R and, along with `toLatex()`, makes it easy create $text{LaTeX{}}$ tables. Unfortunately, the functions that parse `lme4` model objects is out-dated. The code below updates them for the current release version of `lme4`. A couple things to note, however: first, these functions do not work with model objects created by `lme4a`, which are significantly different than those produced in `lme4`; and second, the `getSummary.mer()` function currently only reports the results from two-level models, though extending it shouldn’t be too difficult.