I have fitted a mixed model using a large data set (aprox 200k records), 2 random effects (2209 and 27198 levels, respectively), 7 fixed effects.
I would like to get least square means for some effects but it crashes due to problem dimension (cannot allocate vector of size 117.0 Gb). Any suggestion on possible solutions?
I have fitted a mixed model using a large data set (aprox 200k records), 2 random effects (2209 and 27198 levels, respectively), 7 fixed effects. I would like to get least square means for some effects but it crashes due to problem dimension (cannot allocate vector of size 117.0 Gb). Any suggestion on possible solutions?