This is an R-package for fitting linear mixed effects models in a robust manner. The method is based on the robustification of the scoring equations and an application of the Design Adaptive Scale approach.
rlmer uses quite a bit of memory in the initialisation. Unfortunately, there's not much that can be done about that. You'll have to try to run it on a machine with more memory.
When I run the rlmer on my dataset I get:
Error in .local(x, y, ...) : Cholmod error 'problem too large' at file ../Core/cholmod_sparse.c, line 92
My dataset contains 48000 datapoints.