calculateRVA

Calculates the Relative Variation Accounted for (Halvorsen et al.
2015), for the selected model or a chosen model from the results of
<code>selectEV</code>.

Tools for training, selecting, and evaluating maximum entropy
(and standard logistic regression) distribution models. This package
provides tools for user-controlled transformation of explanatory variables,
selection of variables by nested model comparison, and flexible model
evaluation and projection. It follows principles based on the maximum-
likelihood interpretation of maximum entropy modeling, and uses infinitely-
weighted logistic regression for model fitting. The package is described in
Vollering et al. (2019; <doi:10.1002/ece3.5654>).

Julien Vollering

MIAmaxent

A Modular, Integrated Approach to Maximum Entropy Distribution
Modeling

Sabrina Mazzoni

Rune Halvorsen

Steven Phillips

Michael Bedward

calculateRVA function

<dl><dt>selectedEV</dt>
<dd>The list returned by <code>selectEV</code>.</dd>
<dt>formula</dt>
<dd>If null, RVA is calculated for the selected model in
<code>selectedEV</code>. Otherwise, a model formula (in the form ~ x + ...)
specifying a model in the trail of forward selection
(<code>selectEV$selection</code>) for which to calculate RVA. Response variable
is irrelevant.</dd></dl>

Arguments

Calculates variable contributions as RVA — calculateRVA

<dl>

<dt>selectedEV</dt>
<dd>The list returned by <code>selectEV</code>.</dd>


<dt>formula</dt>
<dd>If null, RVA is calculated for the selected model in
<code>selectedEV</code>. Otherwise, a model formula (in the form ~ x + ...)
specifying a model in the trail of forward selection
(<code>selectEV$selection</code>) for which to calculate RVA. Response variable
is irrelevant.</dd>

</dl>

calculateRVA: Calculates variable contributions as RVA

Description

Usage

Arguments

References

Examples