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.
Version: | 1.0-2 |
Depends: | R (≥ 3.1.2) |
Imports: | ggplot2, raster |
Suggests: | knitr, rmarkdown |
Published: | 2016-04-02 |
Author: | Alexander Jueterbock |
Maintainer: | "Alexander Jueterbock" <Alexander-Jueterbock at web.de> |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: | no |
SystemRequirements: | maxent.jar file |
Citation: | MaxentVariableSelection citation info |
Materials: | README NEWS |
CRAN checks: | MaxentVariableSelection results |
Reference manual: | MaxentVariableSelection.pdf |
Vignettes: |
'MaxentVariableSelection' vignette |
Package source: | MaxentVariableSelection_1.0-2.tar.gz |
Windows binaries: | r-devel: MaxentVariableSelection_1.0-2.zip, r-release: MaxentVariableSelection_1.0-2.zip, r-oldrel: MaxentVariableSelection_1.0-2.zip |
OS X Mavericks binaries: | r-release: MaxentVariableSelection_1.0-2.tgz, r-oldrel: MaxentVariableSelection_1.0-2.tgz |
Old sources: | MaxentVariableSelection archive |
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