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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 |
| 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 |
| Reference manual: | caretMultimodal.html , caretMultimodal.pdf |
| Package source: | caretMultimodal_1.0.0.tar.gz |
| Windows binaries: | r-devel: caretMultimodal_1.0.0.zip, r-release: caretMultimodal_1.0.0.zip, r-oldrel: caretMultimodal_1.0.0.zip |
| macOS binaries: | r-release (arm64): caretMultimodal_1.0.0.tgz, r-oldrel (arm64): caretMultimodal_1.0.0.tgz, r-release (x86_64): caretMultimodal_1.0.0.tgz, r-oldrel (x86_64): caretMultimodal_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.