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: | 1.4.0 |
| Depends: | R (≥ 2.10) |
| Imports: | dplyr (≥ 0.4.3), e1071 (≥ 1.6-7), graphics, terra, rlang, stats, utils |
| Suggests: | knitr, rmarkdown, purrr, tidyr, tibble, ggplot2, sf, disdat |
| Published: | 2025-10-18 |
| 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.html , MIAmaxent.pdf |
| Vignettes: |
Species Distribution Modeling with NCEAS Data (source, R code) A modeling example (source, R code) |
| Package source: | MIAmaxent_1.4.0.tar.gz |
| Windows binaries: | r-devel: MIAmaxent_1.4.0.zip, r-release: MIAmaxent_1.4.0.zip, r-oldrel: MIAmaxent_1.4.0.zip |
| macOS binaries: | r-release (arm64): MIAmaxent_1.4.0.tgz, r-oldrel (arm64): MIAmaxent_1.4.0.tgz, r-release (x86_64): MIAmaxent_1.4.0.tgz, r-oldrel (x86_64): MIAmaxent_1.4.0.tgz |
| Old sources: | MIAmaxent archive |
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