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MIAmaxent: A Modular, Integrated Approach to Maximum Entropy Distribution Modeling
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.
Getting started
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Package details |
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| Author | Julien Vollering [aut, cre], Sabrina Mazzoni [aut], Rune Halvorsen [aut], Steven Phillips [cph] |
| Maintainer | Julien Vollering <julienvollering@gmail.com> |
| License | MIT + file LICENSE |
| Version | 1.2.0 |
| URL | https://github.com/julienvollering/MIAmaxent |
| Package repository | View on CRAN |
| Installation |
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