Fusing Machine Learning in R
Overview
Recent technological advances have enable the simultaneous collection of multi-omics data i.e., different types or modalities of molecular data, presenting challenges for integrative prediction modeling due to the heterogeneous, high-dimensional nature and possible missing modalities of some individuals. We introduce this package for late integrative prediction modeling, enabling modality-specific variable selection and prediction modeling, followed by the aggregation of the modality-specific predictions to train a final meta-model. This package facilitates conducting late integration predictive modeling in a systematic, structured, and reproducible way.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- Help pages
- 42
- Examples that run
- 100%6 run in a plain check
- Exported functions with examples
- 10%
- Documented parameters
- 100%
- Return-value docs
- 39%
- Help pages citing references
- 12%
Downloads
Repository
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Releases over time
Issues over time
6 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/imbs-hl/fusemlr on 2026-10-11.
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Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- unarchivedReturned to CRAN2026-05-20
- 0.0.4Latest
- archivedRemoved from CRAN2026-05-16email to the maintainer is undeliverable
- RR 4.6.0 released · 2026-04-24
- 0.0.22025-10-13 · diff ↗
- RR 4.5.0 released · 2025-04-11
- 0.0.12024-12-17
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-12-17
- Total releases
- 3 / 2 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.6.0
- Bundled data
- 357 KB / 1 file
- Download size
- 512 KB
Cite
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