Package: MIAmaxent
Type: Package
Title: A Modular, Integrated Approach to Maximum Entropy Distribution
        Modeling
Version: 1.4.1.9000
Authors@R: c(
    person("Julien", "Vollering", email = "julienvollering@gmail.com", role = c("aut", "cre")),
    person("Sabrina", "Mazzoni", role = "aut"),
    person("Rune", "Halvorsen", role = "aut"),
    person("Steven", "Phillips", role = "cph"),
    person("Michael", "Bedward", role = "ctb"))
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. The
        package is described in Vollering et al. (2019;
        <doi:10.1002/ece3.5654>).
Depends: R (>= 2.10)
License: MIT + file LICENSE
LazyData: TRUE
URL: https://github.com/julienvollering/MIAmaxent
BugReports: https://github.com/julienvollering/MIAmaxent/issues
RoxygenNote: 7.3.3
Encoding: UTF-8
Imports: dplyr (>= 0.4.3), e1071 (>= 1.6-7), graphics, terra, rlang,
        stats, utils
Suggests: knitr, rmarkdown, purrr, tidyr, tibble, ggplot2, sf, disdat
VignetteBuilder: knitr
Config/pak/sysreqs: libgdal-dev gdal-bin libgeos-dev libproj-dev
        libsqlite3-dev
Repository: https://julienvollering.r-universe.dev
Date/Publication: 2025-12-09 09:45:11 UTC
RemoteUrl: https://github.com/julienvollering/miamaxent
RemoteRef: HEAD
RemoteSha: f518a7255fd678216bb3619740730777fbf916d4
NeedsCompilation: no
Packaged: 2026-07-07 07:34:52 UTC; root
Author: Julien Vollering [aut, cre],
  Sabrina Mazzoni [aut],
  Rune Halvorsen [aut],
  Steven Phillips [cph],
  Michael Bedward [ctb]
Maintainer: Julien Vollering <julienvollering@gmail.com>