julienvollering/maxentmodelselectr: 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

Package details

MaintainerJulien Vollering <julienvollering@gmail.com>
LicenseMIT + file LICENSE
Version1.2.0.9000
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/maxentmodelselectr")
julienvollering/maxentmodelselectr documentation built on July 6, 2023, 11:23 p.m.