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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: 0.90.5
Depends: nlme, rpart, methods, graphics, stats
Suggests: AER
Published: 2023-10-24
DOI: 10.32614/CRAN.package.REEMtree
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

Documentation:

Reference manual: REEMtree.pdf

Downloads:

Package source: REEMtree_0.90.5.tar.gz
Windows binaries: r-devel: REEMtree_0.90.5.zip, r-release: REEMtree_0.90.5.zip, r-oldrel: REEMtree_0.90.5.zip
macOS binaries: r-release (arm64): REEMtree_0.90.5.tgz, r-oldrel (arm64): REEMtree_0.90.5.tgz, r-release (x86_64): REEMtree_0.90.5.tgz, r-oldrel (x86_64): REEMtree_0.90.5.tgz
Old sources: REEMtree archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=REEMtree to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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