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:

Reference manual:

caretMultimodal.html , caretMultimodal.pdf

Downloads:

Package source:	caretMultimodal_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): caretMultimodal_1.0.0.tgz, r-oldrel (x86_64): not available

Linking:

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