mrIML

mrIML-package

<img src="figures/logo.png?package=mrIML&version=2.2.0" style="float: right" alt="logo" width="120">
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) tools:::Rd_expr_doi("10.1111/1755-0998.13495") and Fountain-Jones et al. (2024) tools:::Rd_expr_doi("10.22541/au.172676147.77148600/v1").

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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>.

Nick Fountain-Jones

Multi-Response (Multivariate) Interpretable Machine Learning

Ryan Leadbetter

Gustavo Machado

Chris Kozakiewicz

Nick Clark

mrIML-package function

Maintainer: Nick Fountain-Jones <a href="/link/nick.fountainjones%40utas.edu.au?package=mrIML&version=2.2.0" data-mini-rdoc="mrIML::nick.fountainjones@utas.edu.au">nick.fountainjones@utas.edu.au</a> (<a href="https://orcid.org/0000-0001-9248-8493">ORCID</a>) [copyright holder]
Authors:<ul>
<li>Ryan Leadbetter <a href="/link/ryan.leadbetter%40utas.edu.au?package=mrIML&version=2.2.0" data-mini-rdoc="mrIML::ryan.leadbetter@utas.edu.au">ryan.leadbetter@utas.edu.au</a> (<a href="https://orcid.org/0000-0002-1942-3121">ORCID</a>)</li>
<li>Gustavo Machado <a href="/link/gmachad%40ncsu.edu?package=mrIML&version=2.2.0" data-mini-rdoc="mrIML::gmachad@ncsu.edu">gmachad@ncsu.edu</a> (<a href="https://orcid.org/0000-0001-7552-6144">ORCID</a>)</li>
<li>Chris Kozakiewicz</li>
<li>Nick Clark</li>
</ul>

Author

<img src='figures/logo.png' style='float: right' alt='logo' width='120' />
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) tools:::Rd_expr_doi("10.1111/1755-0998.13495") and Fountain-Jones et al. (2024) tools:::Rd_expr_doi("10.22541/au.172676147.77148600/v1").

mrIML: Multi-Response (Multivariate) Interpretable Machine Learning — mrIML-package

Maintainer: Nick Fountain-Jones <a href='mailto:nick.fountainjones@utas.edu.au'>nick.fountainjones@utas.edu.au</a> (<a href='https://orcid.org/0000-0001-9248-8493'>ORCID</a>) [copyright holder]
Authors:<ul>
<li>Ryan Leadbetter <a href='mailto:ryan.leadbetter@utas.edu.au'>ryan.leadbetter@utas.edu.au</a> (<a href='https://orcid.org/0000-0002-1942-3121'>ORCID</a>)</li>
<li>Gustavo Machado <a href='mailto:gmachad@ncsu.edu'>gmachad@ncsu.edu</a> (<a href='https://orcid.org/0000-0001-7552-6144'>ORCID</a>)</li>
<li>Chris Kozakiewicz</li>
<li>Nick Clark</li>
</ul>

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

Description

Arguments

Author

See Also