REEMtree: Regression Trees with Random Effects for Longitudinal (Panel) Data

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>.

Version: 0.90.4
Depends: nlme, rpart, methods, graphics, stats
Suggests: AER
Published: 2021-01-10
Author: Rebecca Sela, Jeffrey Simonoff and Wenbo Jing
Maintainer: Wenbo Jing <wj2093 at stern.nyu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL]
URL: http://pages.stern.nyu.edu/~jsimonof/REEMtree/
NeedsCompilation: no
Citation: REEMtree citation info
CRAN checks: REEMtree results

Downloads:

Reference manual: REEMtree.pdf
Package source: REEMtree_0.90.4.tar.gz
Windows binaries: r-devel: REEMtree_0.90.4.zip, r-release: REEMtree_0.90.4.zip, r-oldrel: REEMtree_0.90.4.zip
macOS binaries: r-release (arm64): REEMtree_0.90.4.tgz, r-release (x86_64): REEMtree_0.90.4.tgz, r-oldrel: REEMtree_0.90.4.tgz
Old sources: REEMtree archive

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