Package: REEMtree 0.90.5

Wenbo Jing

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>.

Authors:Rebecca Sela, Jeffrey Simonoff and Wenbo Jing

REEMtree_0.90.5.tar.gz
REEMtree_0.90.5.tar.gz(r-4.5-noble)REEMtree_0.90.5.tar.gz(r-4.4-noble)
REEMtree_0.90.5.tgz(r-4.4-emscripten)REEMtree_0.90.5.tgz(r-4.3-emscripten)
REEMtree.pdf |REEMtree.html
REEMtree/json (API)

# Install 'REEMtree' in R:
install.packages('REEMtree', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.43 score 2 stars 67 scripts 226 downloads 2 mentions 12 exports 3 dependencies

Last updated 1 years agofrom:90c0616d09. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 17 2024
R-4.5-linuxNOTEDec 17 2024

Exports:AutoCorrelationLRtestfitted.REEMtreeis.REEMtreelogLik.REEMtreeplot.REEMtreepredict.REEMtreeprint.REEMtreeranef.REEMtreeREEMtreeresiduals.REEMtreetreetree.REEMtree

Dependencies:latticenlmerpart