caretMultimodal: Multimodal Late Fusion with 'caret'
Extends the 'caret' framework to support late fusion workflows,
enabling users to train models independently across multiple data modalities and combine their
predictions into a single meta-model. Designed for developers, data scientists, and
biomedical researchers alike, 'caretMultimodal' aims to make late fusion ensemble modelling
as accessible and flexible as single-dataset workflows in 'caret'. Late fusion methods are based on Wolpert (1992)
<doi:10.1016/S0893-6080(05)80023-1>.
| Version: |
1.0.0 |
| Depends: |
R (≥ 3.5) |
| Imports: |
caret, data.table, ggplot2, pROC, foreach, viridis, MultiAssayExperiment, glmnet |
| Suggests: |
testthat (≥ 3.0.0), randomForest, doParallel |
| Published: |
2026-06-30 |
| DOI: |
10.32614/CRAN.package.caretMultimodal (may not be active yet) |
| Author: |
Josh Dyce [aut, cre],
Amrit Singh [aut] |
| Maintainer: |
Josh Dyce <jpdyce at gmail.com> |
| BugReports: |
https://github.com/CompBio-Lab/caretMultimodal/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/CompBio-Lab/caretMultimodal,
https://compbio-lab.github.io/caretMultimodal/ |
| NeedsCompilation: |
no |
| Materials: |
README |
| CRAN checks: |
caretMultimodal results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=caretMultimodal
to link to this page.