DESCRIPTION

Package: MIAmaxent
Type: Package
Title: A Modular, Integrated Approach to Maximum Entropy Distribution Modeling
Version: 1.3.1.9000
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: 7.3.1
Encoding: UTF-8
Imports:
    dplyr (>= 0.4.3),
    e1071 (>= 1.6-7),
    graphics,
    terra,
    rlang,
    stats,
    utils
Suggests:
    knitr,
    rmarkdown,
    R.rsp
VignetteBuilder: R.rsp