modelFromLambdas

<code>modelFromLambdas</code> returns an R function for a given Maxent model, using
the .lambdas file produced by the MaxEnt program to parameterize the model.
The returned function gives predictions of the model in "raw output" format
from values of explanatory variables.

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

modelFromLambdas function

<dl><dt>file</dt>
<dd>pathway to the .lambdas file of a given Maxent model</dd>
<dt>raw</dt>
<dd>Logical. Should the function return raw Maxent output instead of
PRO?</dd></dl>

Arguments

Maxent model from .lambdas file. — modelFromLambdas

<dl>

<dt>file</dt>
<dd>pathway to the .lambdas file of a given Maxent model</dd>


<dt>raw</dt>
<dd>Logical. Should the function return raw Maxent output instead of
PRO?</dd>

</dl>

modelFromLambdas: Maxent model from .lambdas file.

Description

Usage

Value

Arguments

Details