enmpa_fitted_models

new_enmpa_fitted_models

Constructor of S3 objects of class enmpa_fitted_models

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

enmpa_fitted_models function

<dl><dt>glms_fitted</dt>
<dd>a list of fitted GLMs.</dd>
<dt>selected</dt>
<dd>date.frame with information about selected models.</dd>
<dt>data</dt>
<dd>data.frame or matrix with the input data used for calibration.</dd>
<dt>weights</dt>
<dd>(numeric) a vector with the weights for observations.
Default = NULL.</dd></dl>

Arguments

Constructor of S3 objects of class enmpa_fitted_models — enmpa_fitted_models

<dl>

<dt>glms_fitted</dt>
<dd>a list of fitted GLMs.</dd>


<dt>selected</dt>
<dd>date.frame with information about selected models.</dd>


<dt>data</dt>
<dd>data.frame or matrix with the input data used for calibration.</dd>


<dt>weights</dt>
<dd>(numeric) a vector with the weights for observations.
Default = NULL.</dd>

</dl>

enmpa_fitted_models: Constructor of S3 objects of class enmpa_fitted_models

Description

Usage

Value

Arguments