julienvollering/altrMaxent: 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; <doi:10.1002/ece3.5654>).

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version1.3.1.9000
URL https://github.com/julienvollering/MIAmaxent
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("julienvollering/altrMaxent")
julienvollering/altrMaxent documentation built on Aug. 25, 2024, 11:35 p.m.