BRT-class

show,BRT-method

This Class represents a Boosted Regression Tree model objects and hosts all
the information related to the model.

User-friendly framework that enables the training and the
evaluation of species distribution models (SDMs). The package implements
functions for data driven variable selection and model tuning and includes
numerous utilities to display the results. All the functions used to select
variables or to tune model hyperparameters have an interactive real-time
chart displayed in the 'RStudio' viewer pane during their execution.

Sergio Vignali

SDMtune

Species Distribution Model Selection

Arnaud Barras

Veronika Braunisch

Conservation Biology - University of Bern 

BRT-class function

<dl><dt>object</dt>
<dd>BRT object</dd></dl>

Arguments

<dl>
<dt><code>distribution</code></dt>
<dd>character. Name of the used distribution.</dd></dl>
<dt><code>n.trees</code></dt>
<dd>integer. Maximum number of grown trees.</dd>
<dt><code>interaction.depth</code></dt>
<dd>integer. Maximum depth of each tree.</dd>
<dt><code>shrinkage</code></dt>
<dd>numeric. The shrinkage parameter.</dd>
<dt><code>bag.fraction</code></dt>
<dd>numeric. Random fraction of data used in the tree
expansion.</dd>
<dt><code>model</code></dt>
<dd>gbm. The Boosted Regression Tree model object.</dd>

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Boosted Regression Tree — BRT-class

<dl>

<dt>object</dt>
<dd>BRT object</dd>

</dl>

<dl>
<dt><code>distribution</code></dt>
<dd>character. Name of the used distribution.</dd>


<dt><code>n.trees</code></dt>
<dd>integer. Maximum number of grown trees.</dd>


<dt><code>interaction.depth</code></dt>
<dd>integer. Maximum depth of each tree.</dd>


<dt><code>shrinkage</code></dt>
<dd>numeric. The shrinkage parameter.</dd>


<dt><code>bag.fraction</code></dt>
<dd>numeric. Random fraction of data used in the tree
expansion.</dd>


<dt><code>model</code></dt>
<dd>gbm. The Boosted Regression Tree model object.</dd>


</dl>

BRT-class: Boosted Regression Tree

Description

Usage

Arguments

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Details