print

print.enmpa_calibration

print,enmpa_calibration-method

print,enmpa_fitted_models-method

print.enmpa_fitted_models

Print a short version of elements in 'calibration' and 'fitted models' objects

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

print function

<dl><dt>x</dt>
<dd>object of enmpa_fitted_models or enmpa_calibration</dd>
<dt>...</dt>
<dd>additional arguments affecting the summary produced. Ignored in
these functions.</dd></dl>

Arguments

Print a short version of elements in 'calibration' and 'fitted models' objects — print

<dl>

<dt>x</dt>
<dd>object of enmpa_fitted_models or enmpa_calibration</dd>


<dt>...</dt>
<dd>additional arguments affecting the summary produced. Ignored in
these functions.</dd>

</dl>

print: Print a short version of elements in 'calibration' and 'fitted models' objects

Description

Usage

Arguments