Fused Partitioned Regression for Clinical and Omics Data
Overview
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.
New features
- Tree fits are now also accepted from from the
partykitpackage
(constparty objects), instead of only from the rpart package.
- Functions
fusedTreeandPenOptnow take a new optional input argument
symFusion. Setting this argument to FALSE allows for asymmetric fusion,
where omics effects in nodes having similar predictions of the response
(using only clinical variables) will be shrunken less toward each other compared
to omics effects in nodes having more distinct predictions.
- For memory efficiency, Matrix algebra is now conduced using sparse matrices
from the Matrix package when X is high-dimensional.
- Predict function does not require the test response by default anymore. Rather,
it is an optional parameter.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 5
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 40%
Downloads
Dependencies
Installing fusedTree adds 10 packages (5 with compiled code, 6.9 MB of source tarballs). Heaviest: partykit 2.1 MB, sandwich 1.4 MB, mvtnorm 1.0 MB.
Code & Tests
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- RR 4.6.0 released · 2026-04-24
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- 1.0.12025-07-11
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-07-11
- Total releases
- 2 / 1 yrs
- License
- GPL (>= 3) OSI
- Download size
- 43 KB
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