Regression Trees with Random Effects for Longitudinal (Panel) Data

Description

This package estimates regression trees with random effects as a way to use data mining techniques to describe longitudinal or panel data.

Details

Package:	REEMtree
Type:	Package
Version:	1.0
Date:	2009-05-07
License:	GPL

Author(s)

Rebecca Sela rsela@stern.nyu.edu

References

Sela, Rebecca J., and Simonoff, Jeffrey S., “RE-EM Trees: A New Data Mining Approach for Longitudinal Data”.

Examples

data(simpleREEMdata)
REEMresult<-REEMtree(Y~D+t+X, data=simpleREEMdata, random=~1|ID, simpleREEMdata$ID, Verbose=TRUE)
print(REEMresult)