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>.
|Depends:||nlme, rpart, methods, graphics, stats|
|Author:||Rebecca Sela, Jeffrey Simonoff and Wenbo Jing|
|Maintainer:||Wenbo Jing <wj2093 at stern.nyu.edu>|
|License:||GPL-2 | GPL-3 [expanded from: GPL]|
|Citation:||REEMtree citation info|
|CRAN checks:||REEMtree results|
|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-oldrel (arm64): REEMtree_0.90.4.tgz, r-release (x86_64): REEMtree_0.90.4.tgz, r-oldrel (x86_64): REEMtree_0.90.4.tgz|
|Old sources:||REEMtree archive|
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