predict,Maxnet-method

Predict the output for a new dataset from a trained Maxnet 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 

predict,Maxnet-method function

<dl><dt>object</dt>
<dd>Maxnet object.</dd>
<dt>data</dt>
<dd>data.frame with the data for the prediction.</dd>
<dt>type</dt>
<dd>character. Maxnet output type, possible values are "link",
"exponential", "cloglog" and "logistic".</dd>
<dt>clamp</dt>
<dd>logical for clumping during prediction.</dd></dl>

Arguments

Author

Predict Maxnet — predict,Maxnet-method

<dl>

<dt>object</dt>
<dd>Maxnet object.</dd>


<dt>data</dt>
<dd>data.frame with the data for the prediction.</dd>


<dt>type</dt>
<dd>character. Maxnet output type, possible values are "link",
"exponential", "cloglog" and "logistic".</dd>


<dt>clamp</dt>
<dd>logical for clumping during prediction.</dd>

</dl>

predict,Maxnet-method: Predict Maxnet

Description

Usage

Value

Arguments

Author

Details