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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 <doi:10.1890/10-1171.1>; Warren et al., 2014 <doi:10.1111/ddi.12160>). 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 <doi:10.1109/TAC.1974.1100705>), and by the area under the receiver operating characteristic (AUC) (Fielding and Bell, 1997 <doi:10.1017/S0376892997000088>). Users of this package should be familiar with Maxent niche modelling.
| Version: | 1.0-3 |
| Depends: | R (≥ 3.1.2) |
| Imports: | ggplot2, raster |
| Suggests: | knitr, rmarkdown |
| Published: | 2018-01-23 |
| DOI: | 10.32614/CRAN.package.MaxentVariableSelection |
| 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_1.0-3.tar.gz |
| Windows binaries: | r-devel: MaxentVariableSelection_1.0-3.zip, r-release: MaxentVariableSelection_1.0-3.zip, r-oldrel: MaxentVariableSelection_1.0-3.zip |
| macOS binaries: | r-release (arm64): MaxentVariableSelection_1.0-3.tgz, r-oldrel (arm64): MaxentVariableSelection_1.0-3.tgz, r-release (x86_64): MaxentVariableSelection_1.0-3.tgz, r-oldrel (x86_64): MaxentVariableSelection_1.0-3.tgz |
| Old sources: | MaxentVariableSelection archive |
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These binaries (installable software) and packages are in development.
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