Right, I've worked this one out - the problem is that the example (above)
I was using to test run this package only contains 3 variables. When you
add in a fourth it works fine:
d = runif(30)
And run again telling it to use GA:
babs <- glmulti(y~a*b*c*d, level = 2, fitfunc = lmer.gl
Dear List,
I'm using glmulti for model averaging in R. There are ~10 variables in my
model, making exhaustive screening impractical - I therefore need to use
the genetic algorithm (GA) (call: method = "g").
I need to include random effects so I'm using glmulti as a wrapper for
lme4. Metho
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