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

A data mining approach for longitudinal and clustered data,
which combines the structure of mixed effects model with tree-based
estimation methods. See Sela, R.J. and Simonoff, J.S. (2012) RE-EM
trees: a data mining approach for longitudinal and clustered data
<doi:10.1007/s10994-011-5258-3>.

Wenbo Jing

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