Bayesian mixed model question?
Say I'm interested in examining the relationship between height and weight and I have multiple measurements for each individual over the course of their life (say at 8 different time points). Would I use the regression model below if I was only interested in predicting weight from height regardless of time point ?
lmBF (Weight ~ height , data = test, whichRandom = "ID")
Slightly unsure as to whether this is the correct way to deal with the above scenario where there is clearly non-independent observations (8 weight and 8 height measurements per individual)? Does the which random= ID function cover this?
Any Help would be appreciated