reduceComps

reduceComps: Reduce the components of the model.

Integrated species distribution modeling is a rising field in quantitative ecology thanks to significant rises in the quantity of data available, increases in computational speed and the proven benefits of using such models.
Despite this, the general software to help ecologists construct such models in an easy-to-use framework is lacking.
We therefore introduce the R package 'PointedSDMs': which provides the tools to help ecologists set up integrated models and perform inference on them.
There are also functions within the package to help run spatial cross-validation for model selection, as well as generic plotting and predicting functions.
An introduction to these methods is discussed in Issac, Jarzyna, Keil, Dambly, Boersch-Supan, Browning, Freeman, Golding, Guillera-Arroita, Henrys, Jarvis, Lahoz-Monfort, Pagel, Pescott, Schmucki, Simmonds and O’Hara (2020) <doi:10.1016/j.tree.2019.08.006>.

Philip Mostert

PointedSDMs

Fit Models Derived from Point Processes to Species Distributions
using 'inlabru'

Bob O'hara

reduceComps function

<dl><dt>componentsOld</dt>
<dd>The old components in the model.</dd>
<dt>pointsCopy</dt>
<dd>Logical: is the spatial model for the points copy.</dd>
<dt>biasCopy</dt>
<dd>Logical: is the bias model copy.</dd>
<dt>datasetName</dt>
<dd>Name of the dataset of interest.</dd>
<dt>reducedTerms</dt>
<dd>Terms to include in the new components.</dd></dl>

Arguments

reduceComps: Reduce the components of the model. — reduceComps

<dl>

<dt>componentsOld</dt>
<dd>The old components in the model.</dd>


<dt>pointsCopy</dt>
<dd>Logical: is the spatial model for the points copy.</dd>


<dt>biasCopy</dt>
<dd>Logical: is the bias model copy.</dd>


<dt>datasetName</dt>
<dd>Name of the dataset of interest.</dd>


<dt>reducedTerms</dt>
<dd>Terms to include in the new components.</dd>

</dl>

reduceComps: reduceComps: Reduce the components of the model.

Description

Usage

Value

Arguments