fusedTree: Fused Partitioned Regression for Clinical and Omics Data
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.
| Version: |
1.0.1 |
| Imports: |
Matrix, splitTools, survival, treeClust |
| Suggests: |
rpart |
| Published: |
2025-07-11 |
| DOI: |
10.32614/CRAN.package.fusedTree |
| Author: |
Jeroen M. Goedhart
 [aut, cre,
cph],
Wessel N. van Wieringen [aut] (Author of 'porridge' 'R' package, from
which many functionalities have been adopted),
Thomas Klausch [ths],
Mark A. van de Wiel [ths],
Hanarth Fonds [fnd] |
| Maintainer: |
Jeroen M. Goedhart <jeroengoed at gmail.com> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
fusedTree results |
Documentation:
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