RF-class

show,RF-method

This Class represents a Random Forest 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 

RF-class function

<dl><dt>object</dt>
<dd>RF object</dd></dl>

Arguments

<dl>
<dt><code>mtry</code></dt>
<dd>integer. Number of variable randomly sampled.</dd></dl>
<dt><code>ntree</code></dt>
<dd>integer. Number of grown trees.</dd>
<dt><code>nodesize</code></dt>
<dd>integer. Minimum size of terminal nodes.</dd>
<dt><code>model</code></dt>
<dd><a href="/link/randomForest?package=SDMtune&version=1.3.2" data-mini-rdoc="SDMtune::randomForest">randomForest</a>. The randomForest
model object.</dd>

Slots

Author

Random Forest — RF-class

<dl>

<dt>object</dt>
<dd>RF object</dd>

</dl>

<dl>
<dt><code>mtry</code></dt>
<dd>integer. Number of variable randomly sampled.</dd>


<dt><code>ntree</code></dt>
<dd>integer. Number of grown trees.</dd>


<dt><code>nodesize</code></dt>
<dd>integer. Minimum size of terminal nodes.</dd>


<dt><code>model</code></dt>
<dd><a href='https://rdrr.io/pkg/randomForest/man/randomForest.html'>randomForest</a>. The randomForest
model object.</dd>


</dl>

RF-class: Random Forest

Description

Usage

Arguments

Slots

Author

Details