This package estimates regression trees with random effects as a way to use data mining techniques to describe longitudinal or panel data.
Rebecca Sela rsela@stern.nyu.edu
Sela, Rebecca J., and Simonoff, Jeffrey S., “RE-EM Trees: A Data Mining Approach for Longitudinal and Clustered Data”, Machine Learning (2011).
data(simpleREEMdata) REEMresult<-REEMtree(Y~D+t+X, data=simpleREEMdata, random=~1|ID) print(REEMresult)
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