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MaxentVariableSelection  

Selecting the Best Set of Relevant Environmental Variables along with the Optimal Regularization Multiplier for Maxent Niche Modeling
View on CRAN: Click here


Download and install MaxentVariableSelection package within the R console
Install from CRAN:
install.packages("MaxentVariableSelection")

Install from Github:
library("remotes")
install_github("cran/MaxentVariableSelection")

Install by package version:
library("remotes")
install_version("MaxentVariableSelection", "1.0-3")



Attach the package and use:
library("MaxentVariableSelection")
Maintained by
"Alexander Jueterbock"
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-09-23
Latest Update: 2018-01-23
Description:
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.
How to cite:
"Alexander Jueterbock" (2015). MaxentVariableSelection: Selecting the Best Set of Relevant Environmental Variables along with the Optimal Regularization Multiplier for Maxent Niche Modeling. R package version 1.0-3, https://cran.r-project.org/web/packages/MaxentVariableSelection. Accessed 12 Oct. 2026.
Previous versions and publish date:
1.0-0 (2015-09-23 02:40), 1.0-1 (2016-03-31 17:38), 1.0-2 (2016-04-02 23:31), 1.0-3 (2018-01-23 22:56), (2026-10-12 14:07)
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Complete documentation for MaxentVariableSelection
Functions, R codes and Examples using the MaxentVariableSelection R package
Some associated functions: Backgrounddata . MaxentVariableSelection-package . Occurrencedata . VariableSelection . 
Some associated R codes: Correlations.R . Maxentrun.R . Subsetselection.R .  Full MaxentVariableSelection package functions and examples
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