MaxentVariableSelection: Selecting the Best Set of Relevant Environmental Variables along with the Optimal Regularization Multiplier for Maxent Niche Modeling
Version 1.0-2

Complex niche models show low performance in identifying the most important range-limiting environmental variables and in transferring habitat suitability to novel environmental conditions (Warren and Seifert, 2011; Warren et al., 2014). This package helps to identify the most important set of uncorrelated variables and to fine-tune Maxent's regularization multiplier. In combination, this allows to constrain complexity and increase performance of Maxent niche models (assessed by information criteria, such as AICc (Akaike, 1974) , and by the area under the receiver operating characteristic (AUC) (Fielding and Bell, 1997). Users of this package should be familiar with Maxent niche modelling.

Package details

AuthorAlexander Jueterbock
Date of publication2016-04-02 23:31:35
Maintainer"Alexander Jueterbock" <Alexander-Jueterbock@web.de>
LicenseGPL (>= 2)
Version1.0-2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MaxentVariableSelection")

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MaxentVariableSelection documentation built on April 14, 2017, 2:41 p.m.