RE-EM Trees: A Data Mining Approach for Longitudinal and Clustered Data

This page contains material related to the paper "RE-EM Trees: A Data Mining Approach for Longitudinal and Clustered Data," by Rebecca J. Sela and Jeffrey S. Simonoff, which appeared in Machine Learning in 2012.

Click here to access the paper on the journal's web site.

Click here for supplemental diagnostic plots related to the linear mixed effects and REEM tree model fits to the software transactions data.

An R package to fit the RE-EM tree is available at CRAN. The current version of the package is 0.90.3, and any earlier versions should be updated or replaced.