REEMtree (version 0.90.5)

REEMtree-package: 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.

Arguments

Author

Rebecca Sela rsela@stern.nyu.edu

Details

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

References

Sela, Rebecca J., and Simonoff, Jeffrey S., “RE-EM Trees: A Data Mining Approach for Longitudinal and Clustered Data”, Machine Learning (2011).

Examples

Run this code
data(simpleREEMdata)
REEMresult<-REEMtree(Y~D+t+X, data=simpleREEMdata, random=~1|ID)
print(REEMresult)

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