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
The R package 'MaxentVariableSelection' helps selecting the most important set of uncorrelated environmental variables along with the optimal regularization multiplier for Maxent Niche Modeling. This allows constrain model complexity, and thus, to increase model peformance and transferability of habitat suitability to novel environmental conditions (e.g. future climate scenarios).
To install and load the package from CRAN, type:
To install and load the package from github, type:
The folder 'vignettes' contains documentation files that show how to use the package. The main function of the package (VariableSelection) and the example datasets in 'inst/extdata' are described in the 'MaxentVariableSelection-manual.pdf'.
Updated the vignette and added DOIs to the cited references in the description. Also added a small executable in the example section of the main function VariableSelection().
Corrected text version of package citation
Updated the citation of the 'MaxentVariableSelection' to Jueterbock A, Smolina I, Coyer JA and Hoarau, G (2016) The fate of the Arctic seaweed Fucus distichus under climate change: an ecological niche modelling approach. Ecology and Evolution 6(6), 1712-1724
Initial release on github while associated paper is submitted to Journal of Biogeogrpahy. The package will be uploaded on CRAN upon acceptance of the manuscript