simpleREEMdata


This data set is consists of a panel of 50 individuals with 12 observations per individual.  The data is based on a regression tree with an initial split based on a dummy variable (<code>D</code>) and a second split based on time in the branch where <code>D=1</code>.  The observations include both randomly generated individual-specific effects and observation-specific errors.


datasets

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

Rebecca Sela

REEMtree

Regression Trees with Random Effects for Longitudinal (Panel)
Data

simpleREEMdata function

The data has 600 rows and 5 columns.  The columns are: 
<ul>
<li><code>Y</code>the target variable
</li>
<li><code>t</code>a numeric predictor ("time")
</li>
<li><code>D</code>a catergorical predictor with two levels, 0 and 1
</li>
<li><code>ID</code>the identifier for each individual
</li>
<li><code>X</code>another covariate (which is intentionally unrelated to the target variable)
</li>
</ul> 

simpleREEMdata: Sample Data for RE-EM trees

Description

Arguments

Format

References