Hello everyone,
I have a questions on refitting models using lmer. Some time ago, I asked
about refitting the same model (X,Z,R) to many responses and was pointed at
the refit function as a more efficient alternative to just running lmer()
function iteratively.
My question now is, suppose I want to change only one column from X (say
replace covariate X1 with covariate X2), is there a faster way that just
re-fitting the model with lmer. update() does not seem to be working for
doing that in my case. I can update to drop only one random effect from the
model but when I try to drop other terms, I get an error message.