sel_fit

An object of the class enmpa_fitted_models containing
fitted selected model(s) and the information from model evaluation for such
model(s).

datasets

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

sel_fit function

A list with four elements.<dl>
<dt>glms_fitted</dt>
<dd>a fitted glm (ModelID_7).</dd><dt>selected</dt>
<dd>a data.frame with results from evaluation of ModelID_7</dd><dt>data</dt>
<dd>a data.frame containing information on presence and absence, and
independent variables used to fit GLM models.</dd><dt>weights</dt>
<dd>a vector with the weights for observations.</dd>
</dl>

Format

Example of selected models fitted — sel_fit

A list with four elements.<dl>
<dt>glms_fitted</dt>
<dd>a fitted glm (ModelID_7).</dd>

<dt>selected</dt>
<dd>a data.frame with results from evaluation of ModelID_7</dd>

<dt>data</dt>
<dd>a data.frame containing information on presence and absence, and
independent variables used to fit GLM models.</dd>

<dt>weights</dt>
<dd>a vector with the weights for observations.</dd>


</dl>

sel_fit: Example of selected models fitted

Description

Usage

Arguments

Format

Examples