var_importance

Calculates the relative importance of predictor variables based on the
concept of explained deviance. This is achieved by fitting a GLMs multiple
times, each time leaving out a different predictor variable to observe its
impact on the model's performance.

A set of tools to perform Ecological Niche Modeling with
presence-absence data. It includes algorithms for data partitioning,
model fitting, calibration, evaluation, selection, and prediction.
Other functions help to explore signals of ecological niche using univariate
and multivariate analyses, and model features such as variable response
curves and variable importance. Unique characteristics of this package are
the ability to exclude models with concave quadratic responses, and the
option to clamp model predictions to specific variables. These tools are
implemented following principles proposed in
Cobos et al., (2022) <doi:10.17161/bi.v17i.15985>,
Cobos et al., (2019) <doi:10.7717/peerj.6281>,
and Peterson et al., (2008) <doi:10.1016/j.ecolmodel.2007.11.008>.

Luis F. Arias-Giraldo

enmpa

Ecological Niche Modeling using Presence-Absence Data

Marlon E. Cobos

A. Townsend Peterson

var_importance function

<dl><dt>fitted</dt>
<dd>an object of class <code>glm</code>, a list of GLMs obtained using the
function <code>fit_glms</code>, or an object <code>enmpa_fitted_models</code> from
<code>fit_selected</code> .</dd>
<dt>modelID</dt>
<dd>(character) vector of ModelID(s) to be considered when the
<code>fitted</code> input is of the class <code>enmpa_fitted_models</code>. By default all models
are included. Default = NULL.</dd>
<dt>data</dt>
<dd>data.frame or matrix of data used in the model calibration step.
It must be defined in case the model entered does not explicitly include a
data component. Default = NULL.</dd></dl>

Arguments

Variable importance for GLMs — var_importance

<dl>

<dt>fitted</dt>
<dd>an object of class <code>glm</code>, a list of GLMs obtained using the
function <code>fit_glms</code>, or an object <code>enmpa_fitted_models</code> from
<code>fit_selected</code> .</dd>


<dt>modelID</dt>
<dd>(character) vector of ModelID(s) to be considered when the
<code>fitted</code> input is of the class <code>enmpa_fitted_models</code>. By default all models
are included. Default = NULL.</dd>


<dt>data</dt>
<dd>data.frame or matrix of data used in the model calibration step.
It must be defined in case the model entered does not explicitly include a
data component. Default = NULL.</dd>

</dl>

var_importance: Variable importance for GLMs

Description

Usage

Value

Arguments

Details

Examples