Package: MaxentVariableSelection 1.0-3

MaxentVariableSelection: Selecting the Best Set of Relevant Environmental Variables along with the Optimal Regularization Multiplier for Maxent Niche Modeling

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.

Authors:Alexander Jueterbock

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NEWS

# Install 'MaxentVariableSelection' in R:
install.packages('MaxentVariableSelection', repos = c('https://alj1983.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/alj1983/maxentvariableselection/issues

On CRAN:

5.34 score 4 stars 11 scripts 195 downloads 13 mentions 1 exports 32 dependencies

Last updated 6 years agofrom:355e1676f5. Checks:OK: 3 NOTE: 4. Indexed: yes.

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Doc / VignettesOKOct 14 2024
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Exports:VariableSelection

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6rasterRColorBrewerRcpprlangscalesspterratibbleutf8vctrsviridisLitewithr

'MaxentVariableSelection' vignette

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Last update: 2018-01-20
Started: 2015-09-01