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REEMtree
View on CRAN: Click
here
Download and install REEMtree package within the R console
Install from CRAN:
install.packages("REEMtree")
Install from Github:
library("remotes")
install_github("cran/REEMtree")
Install by package version:
library("remotes")
install_version("REEMtree", "0.90.5")
Attach the package and use:
library("REEMtree")
Maintained by
Wenbo Jing
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-07-18
Latest Update: 2023-10-24
Description:
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
.
How to cite:
Wenbo Jing (2009). REEMtree: Regression Trees with Random Effects for Longitudinal (Panel) Data. R package version 0.90.5, https://cran.r-project.org/web/packages/REEMtree. Accessed 21 Dec. 2024.
Previous versions and publish date:
Other packages that cited REEMtree R package
View REEMtree citation profile
Other R packages that REEMtree depends,
imports, suggests or enhances
Complete documentation for REEMtree
Functions, R codes and Examples using
the REEMtree R package
Some associated functions: AutoCorrelationLRtest . REEMtree-package . REEMtree . REEMtreeject . fitted.REEMtree . is . logLik . plot . predict . print . ranef.REEMtree . residuals.REEMtree . simpleREEMdata . tree .
Some associated R codes: Full REEMtree package functions and examples
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