algorithms

A <code>data.frame</code> with characteristics of each algorithm available in <code>caretSDM</code>. Each
column is a different characteristics. This can be helpful for more experienced modelers select
algorithms. See the source for a selection method using this data.

datasets

Use machine learning algorithms and advanced geographic information system tools to
build Species Distribution Modeling in a extensible and modern fashion.

Luíz Esser

caretSDM

Build Species Distribution Modeling using 'caret'

Dayani Bailly

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José Hilário Delconte Ferreira

Reginaldo Ré

Valéria Batista

Luíz Fernando Esser

algorithms function

## `algorithms`
A <code>data.frame</code> with 230 rows and 60 columns:<dl>
 <dt>X</dt>
<dd>Algorithms names</dd> <dt>Further columns</dt>
<dd>Algorithms attributes</dd>
</dl>

Format

Caret Algorithms — algorithms

## `algorithms`
A <code>data.frame</code> with 230 rows and 60 columns:<dl>
 <dt>X</dt>
<dd>Algorithms names</dd>

 <dt>Further columns</dt>
<dd>Algorithms attributes</dd>


</dl>

algorithms: Caret Algorithms

Description

Usage

Arguments

Format