Package: MaxentVariableSelection
Type: Package
Title: Selecting the Best Set of Relevant Environmental Variables along
        with the Optimal Regularization Multiplier for Maxent Niche
        Modeling
Version: 1.0-3
Date: 2018-01-23
Author: Alexander Jueterbock
Maintainer: "Alexander Jueterbock" <Alexander-Jueterbock@web.de>
Description: 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.
License: GPL (>= 2)
Imports: ggplot2, raster
Depends: R (>= 3.1.2)
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
SystemRequirements: maxent.jar file
Packaged: 2026-10-12 23:14:27 UTC; root
RoxygenNote: 6.0.1
NeedsCompilation: no
Config/pak/sysreqs: libgdal-dev gdal-bin libgeos-dev libproj-dev
        libsqlite3-dev
Repository: https://cranhaven.r-universe.dev
Date/Publication: 2026-10-12 09:02:00 UTC
RemoteUrl: https://github.com/cranhaven/cranhaven.r-universe.dev
RemoteRef: package/MaxentVariableSelection
RemoteSha: 830dc886d266f86300099e9e1c8f858fa323ea01
RemoteSubdir: MaxentVariableSelection