MIAmaxent R package - A Modular, Integrated Approach to Maximum Entropy Distribution Modeling

A set of 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.

Identification

Date ( Publication ): 2020-12-01

Status: Completed

Version: 1.2.0

Keywords: maximum entropy

Keywords: distribution models

Keywords: model comparison

Keywords: model evaluation

Keywords: R

Access constraints: License

Use limitation: https://cran.r-project.org/web/licenses/MIT

Other constraints: YEAR: 2016-2018

COPYRIGHT HOLDER: Julien Vollering, Sabrina Mazzoni, Rune Halvorsen, Steven Phillips

Creator

Department of Environmental Sciences, Western Norway University of Applied Sciences, Sogndal, Norway - Julien Vollering

Author

Department of Research and Collections, Natural History Museum, University of Oslo, Oslo, Norway - Sabrina Mazzoni

Author

Department of Research and Collections, Natural History Museum, University of Oslo, Oslo, Norway - Rune Halvorse

Author

Department of Research and Collections, Natural History Museum, University of Oslo, Oslo, Norway - Steven Phillips

OnLine resource: CRAN link ( WWW:LINK-1.0-http--link )

Required Services: R (≥ 2.10)

Topic Category: Species distribution

Service Category: data collection and preparation

Service Language: eng

Service Training: https://onlinelibrary.wiley.com/doi/10.1002/ece3.5654

Service User Manual: https://cran.r-project.org/web/packages/MIAmaxent/MIAmaxent.pdf

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