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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=MIAmaxent to link to this page.
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