resist_components

Calculates resistance components from a list of pairwise resistance surfaces

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

mrIML

Multi-Response (Multivariate) Interpretable Machine Learning

Ryan Leadbetter

Gustavo Machado

Chris Kozakiewicz

Nick Clark

resist_components function

<dl><dt>foldername</dt>
<dd>A <code>character</code> this is the location where the
resistance surfaces are stored.</dd>
<dt>p_val</dt>
<dd>A <code>numeric</code> this sets the significance threshold for axes
in explaining variance in the original resistance matrix based on redundancy
analysis. In effect this filters out axes that don't explain variance.</dd>
<dt>cl</dt>
<dd>A parallel argument to be passed to <code>vegan::capscale()</code> if parallel
compute is wanted.</dd></dl>

Arguments

Calculates resistance components from a list of pairwise resistance surfaces — resist_components

<dl>

<dt>foldername</dt>
<dd>A <code>character</code> this is the location where the
resistance surfaces are stored.</dd>


<dt>p_val</dt>
<dd>A <code>numeric</code> this sets the significance threshold for axes
in explaining variance in the original resistance matrix based on redundancy
analysis. In effect this filters out axes that don't explain variance.</dd>


<dt>cl</dt>
<dd>A parallel argument to be passed to <code>vegan::capscale()</code> if parallel
compute is wanted.</dd>

</dl>

resist_components: Calculates resistance components from a list of pairwise resistance surfaces

Description

Usage

Value

Arguments

Details

Examples