Hi all, In using the lme4 package to construct multi-level models, I notice that for large datasets (~300000 data points, >100 groups, possibly cross/nested effects) model fitting can be very slow (>2 hours). I have even larger data sets that I'd like to model, but hesitate due to concerns about run time. To that end, is it possible to parallelize/multithread lme4? Alternatively, can SparkR be configured to run lme4? Finally, if neither is possible, what can be done to speed up lme4? Thanks, Sue [[alternative HTML version deleted]]