Hi all,
I am trying to run an lme4 model (logistic regression with mixed effects) in
MCMCglmm but am unsure how to implement it properly.
Currently, my lme4 model formula looks as follows: "outcome ~ (1 + var1 +
var2 | study) + var1 + var2"
In English, this means that I am fitting a random effects model, where the
intercept, var1 and var2 are jointly distributed according to study.
My question is now how I would translate this formula to the fixed and
random terms in MCMCglmm.
For the fixed part, I figured that I should make a variable
nooutcome=abs(1-outcome) because it can then be modeled with a multinomial2
family as there is no binomial(logit) option available. Then, the fixed
part would look as follows:
cbind(outcome,nooutcome)~1+var1+var2
However, I am unsure how to specify the random effects over the intercept,
var1 and var2 jointly. So far, I was able to generate the following:
random=~us(var1):study+us(var2):study+us(1):study
which I think corresponds to "outcome ~ (1 | study) + (var1 | study) +
(var2 | study) + var1 + var2" instead of "outcome ~ (1 + var1 + var2
|
study) + var1 + var2"
I would appreciate any help.
Thomas
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