mrIML-package: mrIML: Multi-Response (Multivariate) Interpretable Machine...

In nfj1380/mrIML: Multi-Response (Multivariate) Interpretable Machine Learning

mrIML: Multi-Response (Multivariate) Interpretable Machine Learning

Description

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 et al.n (2021) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/1755-0998.13495")} and Fountain-Jones et al. (2024) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.22541/au.172676147.77148600/v1")}.

Author(s)

Maintainer: Nick Fountain-Jones [e-mail] (ORCID) [copyright holder]

Authors:

• Ryan Leadbetter [e-mail] (ORCID)

• Gustavo Machado [e-mail] (ORCID)

• Chris Kozakiewicz

• Nick Clark

See Also

Useful links:

• https://github.com/nickfountainjones/mrIML

• Report bugs at https://github.com/nickfountainjones/mrIML/issues

nfj1380/mrIML documentation built on June 2, 2025, 1:03 a.m.