REEMtree: Regression Trees with Random Effects for Longitudinal (Panel) Data (original) (raw)
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 |
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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 |
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 |
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Downloads:
Package source: | REEMtree_0.90.5.tar.gz |
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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:
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