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>.
| Reference manual: | mrIML.html , mrIML.pdf |
| Vignettes: |
mrIML (source, R code) |
| Package source: | mrIML_2.2.0.tar.gz |
| Windows binaries: | r-devel: mrIML_2.2.0.zip, r-release: mrIML_2.2.0.zip, r-oldrel: mrIML_2.2.0.zip |
| macOS binaries: | r-release (arm64): mrIML_2.2.0.tgz, r-oldrel (arm64): mrIML_2.2.0.tgz, r-release (x86_64): mrIML_2.2.0.tgz, r-oldrel (x86_64): mrIML_2.2.0.tgz |
| Old sources: | mrIML archive |
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