Hi,

I have a medical dataset with three levels: individuals tested repeatedly over time in three different settings. I would like to do some CART analysis for inference and prediction, to explore the importance of covariates and ultimately to produce a classification tree for prediction of a disease in individuals. I am aware of methods (e.g. RE-EM trees) for regression models, but I can't seem to find any suitable methods for classification models. Could anyone point me in the direction of a suitable method of building classification trees for multilevel data, and, even better, suitable R packages?

Many thanks