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

Version:	1.3.1
Depends:	R (≥ 2.10)
Imports:	dplyr (≥ 0.4.3), e1071 (≥ 1.6-7), graphics, terra, rlang, stats, utils
Suggests:	knitr, rmarkdown, R.rsp
Published:	2024-08-23
DOI:	10.32614/CRAN.package.MIAmaxent
Author:	Julien Vollering [aut, cre], Sabrina Mazzoni [aut], Rune Halvorsen [aut], Steven Phillips [cph], Michael Bedward [ctb]
Maintainer:	Julien Vollering <julienvollering at gmail.com>
BugReports:	https://github.com/julienvollering/MIAmaxent/issues
License:	MIT + file LICENSE
URL:	https://github.com/julienvollering/MIAmaxent
NeedsCompilation:	no
Citation:	MIAmaxent citation info
Materials:	README NEWS
CRAN checks:	MIAmaxent results

Documentation:

Reference manual:	MIAmaxent.pdf
Vignettes:	A modeling example (source)

Downloads:

Package source:	MIAmaxent_1.3.1.tar.gz
Windows binaries:	r-devel: MIAmaxent_1.3.1.zip, r-release: MIAmaxent_1.3.1.zip, r-oldrel: MIAmaxent_1.3.1.zip
macOS binaries:	r-release (arm64): MIAmaxent_1.3.1.tgz, r-oldrel (arm64): MIAmaxent_1.3.1.tgz, r-release (x86_64): MIAmaxent_1.3.1.tgz, r-oldrel (x86_64): MIAmaxent_1.3.1.tgz
Old sources:	MIAmaxent archive

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