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.

Package details

AuthorJulien Vollering [aut, cre], Sabrina Mazzoni [aut], Rune Halvorsen [aut], Steven Phillips [cph]
MaintainerJulien Vollering <julienvollering@gmail.com>
LicenseMIT + file LICENSE
URL https://github.com/julienvollering/MIAmaxent
Package repositoryView on CRAN
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MIAmaxent documentation built on Dec. 1, 2020, 5:08 p.m.