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Tools for training, selecting, and evaluating maximum entropy (and standard logistic regression) 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 follows principles based on the maximum- likelihood interpretation of maximum entropy modeling, and uses infinitely- weighted logistic regression for model fitting. The package is described in Vollering et al. (2019; <doi:10.1002/ece3.5654>).
Version: | 1.3.0 |
Depends: | R (≥ 2.10) |
Imports: | dplyr (≥ 0.4.3), e1071 (≥ 1.6-7), graphics, terra, rlang, stats, utils |
Suggests: | knitr, rmarkdown, R.rsp |
Published: | 2024-07-29 |
DOI: | 10.32614/CRAN.package.MIAmaxent |
Author: | Julien Vollering [aut, cre], Sabrina Mazzoni [aut], Rune Halvorsen [aut], Steven Phillips [cph], Michael Bedward [ctb] |
Maintainer: | Julien Vollering <julienvollering at gmail.com> |
BugReports: | https://github.com/julienvollering/MIAmaxent/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/julienvollering/MIAmaxent |
NeedsCompilation: | no |
Citation: | MIAmaxent citation info |
Materials: | README NEWS |
CRAN checks: | MIAmaxent results |
Reference manual: | MIAmaxent.pdf |
Vignettes: |
A modeling example |
Package source: | MIAmaxent_1.3.0.tar.gz |
Windows binaries: | r-devel: MIAmaxent_1.3.0.zip, r-release: MIAmaxent_1.3.0.zip, r-oldrel: MIAmaxent_1.3.0.zip |
macOS binaries: | r-release (arm64): MIAmaxent_1.3.0.tgz, r-oldrel (arm64): MIAmaxent_1.3.0.tgz, r-release (x86_64): MIAmaxent_1.3.0.tgz, r-oldrel (x86_64): MIAmaxent_1.3.0.tgz |
Old sources: | MIAmaxent archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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