Other packages > Find by keyword >

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 03 Jul. 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)
Other packages that cited MaxentVariableSelection R package
View MaxentVariableSelection citation profile
Other R packages that MaxentVariableSelection depends, imports, suggests or enhances
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

tabbycat  
Tabulate and Summarise Categorical Data
Functions for tabulating and summarising categorical variables. Most functions are designed to work ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
reportROC  
An Easy Way to Report ROC Analysis
Provides an easy way to report the results of ROC analysis, including: 1. an ROC curve. 2. the val ...
Download / Learn more Package Citations See dependency  
GaussSuppression  
Tabular Data Suppression using Gaussian Elimination
A statistical disclosure control tool to protect tables by suppression using the Gaussian eliminati ...
Download / Learn more Package Citations See dependency  
MANOVA.RM  
Resampling-Based Analysis of Multivariate Data and Repeated Measures Designs
Implemented are various tests for semi-parametric repeated measures and general MANOVA designs that ...
Download / Learn more Package Citations See dependency  
gap.datasets  
Datasets for 'gap'
Datasets associated with the 'gap' package. Currently, it includes an example data for regional ass ...
Download / Learn more Package Citations See dependency  

27,653

R Packages

236,180

Dependencies

73,487

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA