mrIML
Multi-Response (Multivariate) Interpretable Machine Learning
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
2.2.0 |
rolling linux/jammy R-4.5 | mrIML_2.2.0.tar.gz |
1.3 MiB |
2.2.0 |
rolling linux/noble R-4.5 | mrIML_2.2.0.tar.gz |
1.3 MiB |
2.2.0 |
rolling source/ R- | mrIML_2.2.0.tar.gz |
1.9 MiB |
2.2.0 |
latest linux/jammy R-4.5 | mrIML_2.2.0.tar.gz |
1.3 MiB |
2.2.0 |
latest linux/noble R-4.5 | mrIML_2.2.0.tar.gz |
1.3 MiB |
2.2.0 |
latest source/ R- | mrIML_2.2.0.tar.gz |
1.9 MiB |
2.2.0 |
2026-04-26 source/ R- | mrIML_2.2.0.tar.gz |
1.9 MiB |
2.2.0 |
2026-04-23 source/ R- | mrIML_2.2.0.tar.gz |
1.9 MiB |
2.2.0 |
2026-04-09 windows/windows R-4.5 | mrIML_2.2.0.zip |
1.3 MiB |