I'm trying to run bGLMM on a large dataset and it is failing after trying to create huge vectors with the error:
Error: cannot allocate vector of size 553.7 Gb
The dataset that I'm using is fairly large, around 1.5 million observations. The command is as follows:
boost1 <- bGLMM(A~ B + C, rnd = list(D=~1), data = train, family =binomial)
A is binary, B and C are continuous and D is a factor variable with 250,000 levels that I'm trying to model as a random effect.
A similar model runs fine on lme4. Is my dataset simply much too large for this package or am I doing something obviously wrong? 		 	   		  
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