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MIAmaxent  

A Modular, Integrated Approach to Maximum Entropy Distribution Modeling
View on CRAN: Click here


Download and install MIAmaxent package within the R console
Install from CRAN:
install.packages("MIAmaxent")

Install from Github:
library("remotes")
install_github("cran/MIAmaxent")

Install by package version:
library("remotes")
install_version("MIAmaxent", "1.3.1")



Attach the package and use:
library("MIAmaxent")
Maintained by
Julien Vollering
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-09-12
Latest Update: 2020-12-01
Description:
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.
How to cite:
Julien Vollering (2016). MIAmaxent: A Modular, Integrated Approach to Maximum Entropy Distribution Modeling. R package version 1.3.1, https://cran.r-project.org/web/packages/MIAmaxent. Accessed 03 Feb. 2025.
Previous versions and publish date:
0.3.6 (2016-09-12 15:08), 0.3.7 (2016-09-14 11:46), 0.4.0 (2017-02-14 12:14), 1.0.0 (2018-11-14 00:20), 1.1.0 (2019-05-30 23:20), 1.1.1 (2020-04-14 23:40), 1.2.0 (2020-12-01 17:30), 1.3.0 (2024-07-29 14:20)
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Complete documentation for MIAmaxent
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