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FREEtree  

Tree Method for High Dimensional Longitudinal Data
View on CRAN: Click here


Download and install FREEtree package within the R console
Install from CRAN:
install.packages("FREEtree")

Install from Github:
library("remotes")
install_github("cran/FREEtree")

Install by package version:
library("remotes")
install_version("FREEtree", "0.1.0")



Attach the package and use:
library("FREEtree")
Maintained by
Athanasse Zafirov
[Scholar Profile | Author Map]
First Published: 2020-06-25
Latest Update: 2020-06-25
Description:
This tree-based method deals with high dimensional longitudinal data with correlated features through the use of a piecewise random effect model. FREE tree also exploits the network structure of the features, by first clustering them using Weighted Gene Co-expression Network Analysis ('WGCNA'). It then conducts a screening step within each cluster of features and a selecting step among the surviving features, which provides a relatively unbiased way to do feature selection. By using dominant principle components as regression variables at each leaf and the original features as splitting variables at splitting nodes, FREE tree delivers easily interpretable results while improving computational efficiency.
How to cite:
Athanasse Zafirov (2020). FREEtree: Tree Method for High Dimensional Longitudinal Data. R package version 0.1.0, https://cran.r-project.org/web/packages/FREEtree. Accessed 06 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited FREEtree R package
View FREEtree citation profile
Other R packages that FREEtree depends, imports, suggests or enhances
Complete documentation for FREEtree
Functions, R codes and Examples using the FREEtree R package
Some associated functions: FREEtree . FREEtree_PC . FREEtree_time . data . get_split_names . 
Some associated R codes: data.R . get_split_names.R .  Full FREEtree package functions and examples
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