MIAmaxent: Maxent Distribution Model Selection

Tools for training, selecting, and evaluating maximum entropy (Maxent) distribution models. This package provides tools for user- controlled transformation of explanatory variables, selection of variables by nested model comparison, and flexible model evaluation and projection. It is based on the strict maximum likelihood interpretation of maximum entropy modelling.

Version: 0.4.0
Depends: R (≥ 2.10)
Imports: dplyr (≥ 0.4.3), e1071 (≥ 1.6-7), graphics, grDevices, raster (≥ 2.5-8), stats, utils
Suggests: knitr, rmarkdown, R.rsp
Published: 2017-02-14
Author: Julien Vollering [aut, cre], Sabrina Mazzoni [aut], Rune Halvorsen [aut]
Maintainer: Julien Vollering <julien.vollering at hvl.no>
BugReports: https://github.com/julienvollering/MIAmaxent/issues
License: MIT + file LICENSE
URL: https://github.com/julienvollering/MIAmaxent
NeedsCompilation: no
SystemRequirements: Maxent.jar software, Java Runtime Environment (JRE)
Materials: README NEWS
CRAN checks: MIAmaxent results


Reference manual: MIAmaxent.pdf
Vignettes: A modeling example
Package source: MIAmaxent_0.4.0.tar.gz
Windows binaries: r-devel: MIAmaxent_0.4.0.zip, r-release: MIAmaxent_0.4.0.zip, r-oldrel: MIAmaxent_0.4.0.zip
OS X Mavericks binaries: r-release: MIAmaxent_0.4.0.tgz, r-oldrel: MIAmaxent_0.4.0.tgz
Old sources: MIAmaxent archive


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