lme4 - Mixed Model question
?? I *think* that if you simply set the values of the covariates you
want to disregard for each group to 0 for that group, you'll get what
you want.? I don't think there's a way to do that in the formula
specification; you can obviously write code to do it, but doing it
elegantly could be tricky.? If I were doing it I might try something
*approximately* along the lines of
?? vars <- list(g1=c("x1","x2"), g2=c("x2","x3"))
?? all_vars <- unique(unlist(vars))
?? for (i in seq_along(models)) {
????? my_data[group==names(models)[i], setdiff(all_vars, vars[[i]])] <- 0
?? }
On 7/13/20 12:06 PM, Axel Urbiz wrote:
Dear List,
I?d appreciate any guidance on the following.
I?m using a mixed effects logistic regression model, to allow coefficients to vary by a group variable. However, my case is not typical in the sense that I need to specify a different set of covariates for each level of the group variable. Say I have 3 covariates {x1, x2, x3} and 2 groups {g1, g2}. I want to specify a model for g1 that only depends on x1 and x2, and a model for g2 that only depends on x2 and x3.
Note that the 2 groups is just for illustration. I actually have many more than that.
Is this possible with lme4?
Thanks,
Axel.
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