predict.MIAmaxent_iwlr

Returns model predictions for new data in "PRO" or "raw" format.

internal

Tools for training, selecting, and evaluating maximum entropy
(and standard logistic regression) distribution models. This package
provides tools for user-controlled transformation of explanatory variables,
selection of variables by nested model comparison, and flexible model
evaluation and projection. It follows principles based on the maximum-
likelihood interpretation of maximum entropy modeling, and uses infinitely-
weighted logistic regression for model fitting. The package is described in
Vollering et al. (2019; <doi:10.1002/ece3.5654>).

Julien Vollering

MIAmaxent

A Modular, Integrated Approach to Maximum Entropy Distribution
Modeling

Sabrina Mazzoni

Rune Halvorsen

Steven Phillips

Michael Bedward

predict.MIAmaxent_iwlr function

<dl><dt>object</dt>
<dd>Model of class "MIAmaxent_iwlr"</dd>
<dt>newdata</dt>
<dd>Data frame containing variables with which to predict</dd>
<dt>type</dt>
<dd>Type of model output: "PRO" or "raw"</dd></dl>

Arguments

Predict method for infinitely-weighted logistic regression — predict.MIAmaxent_iwlr

<dl>

<dt>object</dt>
<dd>Model of class "MIAmaxent_iwlr"</dd>


<dt>newdata</dt>
<dd>Data frame containing variables with which to predict</dd>


<dt>type</dt>
<dd>Type of model output: "PRO" or "raw"</dd>

</dl>

predict.MIAmaxent_iwlr: Predict method for infinitely-weighted logistic regression

Description

Usage

Arguments