Multi-Response (Multivariate) Interpretable Machine Learning
Overview
Builds and interprets multi-response machine learning models using 'tidymodels' syntax. Users can supply a tidy model, and 'mrIML' automates the process of fitting multiple response models to multivariate data and applying interpretable machine learning techniques across them. For more details see Fountain-Jones (2021) doi:10.1111/1755-0998.13495 and Fountain-Jones et al. (2024) doi:10.22541/au.172676147.77148600/v1.
Initial bug fixes after major release of mrIML 2 to CRAN.
mrIMLpredicts()properly handles missingXorX1.mrCovar()andmrVip()can handle factors without throwing acbinderror.- Stratified test-train splits so that there is always positive and negative observation in the test set for small data sets.
- Improved internal behaviour of
predict()fromworkflowobjects.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-04
- WARNING12 OK, 1 WARNING2026-07-03
- OK13 OK2026-06-09
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- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-12
- WARNING12 OK, 1 WARNING2026-05-11
- OK13 OK2026-05-02
- ERROR13 OK, 1 ERROR2026-04-18
- OK14 OK2026-03-10
Documentation
The repository also keeps web-only articles.
- Help pages
- 20 (2 internal)includes a package overview page
- Examples that run
- 100%15 run in a plain check (8 of them under a condition)
- Exported functions with examples
- 94%
- Documented parameters
- 94%
- Return-value docs
- 100%
- Help pages citing references
- 0%
- mrIML HTML
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 352
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Releases over time
Issues over time
12 development-tooling and community-health practices detected across 6 families in the upstream repository
Checks run against github.com/nickfountainjones/mriml on 2026-10-18.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-07-07 · The repository has a site deploy workflow
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Dependencies
Installing mrIML adds 99 packages (45 with compiled code, 77 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
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- 2.2.0Latest
- 2.1.02025-07-28
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2025-07-28
- Total releases
- 2 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 103 KB / 2 files
- Download size
- 1.9 MB
Cite
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Run in R for the authors' preferred citation:
citation("mrIML")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
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