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:
MaxentVariableSelection_1.0-3.tar.gz
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MaxentVariableSelection.pdf |MaxentVariableSelection.html✨
MaxentVariableSelection/json (API)
NEWS
# Install 'MaxentVariableSelection' in R: |
install.packages('MaxentVariableSelection', repos = c('https://alj1983.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/alj1983/maxentvariableselection/issues
Last updated 6 years agofrom:355e1676f5. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 13 2024 |
R-4.5-win | NOTE | Nov 13 2024 |
R-4.5-linux | NOTE | Nov 13 2024 |
R-4.4-win | NOTE | Nov 13 2024 |
R-4.4-mac | NOTE | Nov 13 2024 |
R-4.3-win | OK | Nov 13 2024 |
R-4.3-mac | OK | Nov 13 2024 |
Exports:VariableSelection
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6rasterRColorBrewerRcpprlangscalesspterratibbleutf8vctrsviridisLitewithr