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. The package is described in Vollering et al. (2019;
- Version1.3.1
- R version≥ 2.10
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?No
- MIAmaxent citation info
- Last release08/23/2024
Documentation
Team
Julien Vollering
Sabrina Mazzoni
Show author detailsRolesAuthorRune Halvorsen
Show author detailsRolesAuthorSteven Phillips
Show author detailsRolesCopyright holderMichael Bedward
Show author detailsRolesContributor
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- Depends1 package
- Imports6 packages
- Suggests3 packages