| simpleREEMdata {REEMtree} | R Documentation |
Sample Data for RE-EM trees
Description
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 (D) and a second split based on time in the branch where D=1. The observations include both randomly generated individual-specific effects and observation-specific errors.
Format
The data has 600 rows and 5 columns. The columns are:
-
Y- the target variable -
t- a numeric predictor ("time") -
D- a catergorical predictor with two levels, 0 and 1 -
ID- the identifier for each individual -
X- another covariate (which is intentionally unrelated to the target variable)
References
Sela, Rebecca J., and Simonoff, Jeffrey S., “RE-EM Trees: A Data Mining Approach for Longitudinal and Clustered Data”, Machine Learning (2011).