Package: REEMtree 0.90.6

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 [aut], Jeffrey Simonoff [aut], Wenbo Jing [ctb, cre]

REEMtree_0.90.6.tar.gz
REEMtree_0.90.6.tar.gz(r-4.7-any)REEMtree_0.90.6.tar.gz(r-4.6-any)
REEMtree_0.90.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
REEMtree/json (API)

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

On CRAN:

Conda:

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

2.54 score 2 stars 86 scripts 354 downloads 2 mentions 12 exports 72 dependencies

Last updated from:c5b612f0ce. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK143
source / vignettesOK190
linux-release-x86_64OK127
wasm-releaseOK117

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

Dependencies:abindAERbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrpartS7sandwichscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo