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fusedTree  

Fused Partitioned Regression for Clinical and Omics Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("fusedTree", "1.1.0")



Attach the package and use:
library("fusedTree")
Maintained by
Jeroen M. Goedhart
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-11
Latest Update: 2025-07-11
Description:
Fit (generalized) linear regression models in each leaf node of a tree. The tree is constructed using clinical variables only. The linear regression models are constructed using (high-dimensional) omics variables only. The leaf-node-specific regression models are estimated using the penalized likelihood including a standard ridge (L2) penalty and a fusion penalty that links the leaf-node-specific regression models to one another. The intercepts of the leaf nodes reflect the effects of the clinical variables and are left unpenalized. The tree, fitted with the clinical variables only, should be constructed outside of the package with the 'rpart' 'R' package. See Goedhart and others (2024) <doi:10.48550/arXiv.2411.02396> for details on the method.
How to cite:
Jeroen M. Goedhart (2025). fusedTree: Fused Partitioned Regression for Clinical and Omics Data. R package version 1.1.0, https://cran.r-project.org/web/packages/fusedTree. Accessed 16 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:40), 1.0.1 (2025-07-11 14:30)
Other packages that cited fusedTree R package
View fusedTree citation profile
Other R packages that fusedTree depends, imports, suggests or enhances
Complete documentation for fusedTree
Functions, R codes and Examples using the fusedTree R package
Full fusedTree package functions and examples
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