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REEMtree (version 0.90.5)

Regression Trees with Random Effects for Longitudinal (Panel) Data

Description

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 .

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Version

Install

install.packages('REEMtree')

Monthly Downloads

213

Version

0.90.5

License

GPL

Maintainer

Wenbo Jing

Last Published

October 24th, 2023

Functions in REEMtree (0.90.5)

Predictions from a regression tree with individual-specific effects

fitted.REEMtree

Extract the fitted values from a RE-EM tree

residuals.REEMtree

Extract the residuals from a RE-EM tree

REEMtree-package

Regression Trees with Random Effects for Longitudinal (Panel) Data

Extract the estimated random effects from a RE-EM tree

Create a RE-EM tree

AutoCorrelationLRtest

Test for autocorrelation in the residuals of a RE-EM tree

Is a RE-EM tree object

Log-likelihood of a RE-EM tree

REEMtree.object

Random Effects/Expectation Maximization (RE-EM) Tree Object

Sample Data for RE-EM trees

Extract the regression tree associated with a RE-EM tree

Print a RE-EM Tree object

Plot the RE-EM tree