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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.
| Version: | 1.2.0 |
| Depends: | R (≥ 2.10) |
| Imports: | dplyr (≥ 0.4.3), e1071 (≥ 1.6-7), graphics, raster (≥ 2.5-8), rlang, stats, utils |
| Suggests: | knitr, rmarkdown, R.rsp |
| Published: | 2020-12-01 |
| Author: | Julien Vollering [aut, cre], Sabrina Mazzoni [aut], Rune Halvorsen [aut], Steven Phillips [cph] |
| 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_1.2.0.tar.gz |
| Windows binaries: | r-devel: MIAmaxent_1.2.0.zip, r-release: MIAmaxent_1.2.0.zip, r-oldrel: MIAmaxent_1.2.0.zip |
| macOS binaries: | r-release (arm64): MIAmaxent_1.2.0.tgz, r-oldrel (arm64): MIAmaxent_1.2.0.tgz, r-release (x86_64): MIAmaxent_1.2.0.tgz, r-oldrel (x86_64): MIAmaxent_1.2.0.tgz |
| Old sources: | MIAmaxent archive |
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These binaries (installable software) and packages are in development.
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