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 |
| 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-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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