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mrIML

2.2.0Package record

Multi-Response (Multivariate) Interpretable Machine Learning

0packages depend
2.9Kdownloads / year
17.7%test coverage
13/13flavors OK

Overview

About

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.

Changes in 2.2.0

Initial bug fixes after major release of mrIML 2 to CRAN.

  • mrIMLpredicts() properly handles missing X or X1.
  • mrCovar() and mrVip() can handle factors without throwing a cbind error.
  • 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() from workflow objects.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 6.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-07-04
  • WARNING12 OK, 1 WARNING2026-07-03
  • OK13 OK2026-06-09
Show 6 earlier changesHide 6 earlier changes
  • 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
Advisories

none known

Documentation

In release 2.2.0
READMEYes · 503 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 2.2.0Citation fileNo

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%
Vignettes (1)

Downloads

2.9K
CRAN downloads in the past year
Rank #11,662 · ~8/day · ~239/mo
Daily download trend is not available in this view yet.
31230 days
92390 days
2.9K1 year
Compare downloads with other packages →
Also on85 r2u3 autocran

Repository

10Stars
7Forks
1Open issues
0Open PRs
5Releases
606Commits
8Commit identities
606 commits · Last activity 2026-07-07 · 0% stars, 30d
Responsiveness
How these are sampled
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

2025-10-13 · 102026-07-07 · 10
PracticesBeta

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.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-07-07 · The repository has a site deploy workflow

Coverage (1)
Coverage reporting
Reproducibility and dev environment (1)
data-raw/
Show all practicesHide 2 practices
CRAN release process (3)
cran-comments.mdrevdep/CRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
41 external dependencies (excludes base and recommended)

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.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (5)
Author, Maintainer since 2.1.0 (2025), Copyright holder
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 2.2.0Latest
    record
    2025-11-21 · current release · diff ↗
  • 2.1.0
    record
    2025-07-28
  • R
    R 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

Cite this package

Run in R for the authors' preferred citation:

citation("mrIML")
Fountain-Jones, N., Clark, N., Kozakiewicz, C., Leadbetter, R., & Machado, G. (2025). mrIML: Multi-Response (Multivariate) Interpretable Machine Learning (Version 2.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.mrIML

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mrIML version 2.2.0 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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