Package: MIAmaxent
Type: Package
Title: A Modular, Integrated Approach to Maximum Entropy Distribution
        Modeling
Version: 1.1.0
Authors@R: c(
    person("Julien", "Vollering", email = "julien.vollering@hvl.no", role = c("aut", "cre")),
    person("Sabrina", "Mazzoni", email = "sabgis@uevora.pt", role = "aut"),
    person("Rune", "Halvorsen", email = "rune.halvorsen@nhm.uio.no", role = "aut"),
    person("Steven", "Phillips", role = "cph"))
Maintainer: Julien Vollering <julien.vollering@hvl.no>
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.
Depends: R (>= 2.10)
License: MIT + file LICENSE
LazyData: TRUE
URL: https://github.com/julienvollering/MIAmaxent
BugReports: https://github.com/julienvollering/MIAmaxent/issues
RoxygenNote: 6.1.1
Encoding: UTF-8
Imports: dplyr (>= 0.4.3), e1071 (>= 1.6-7), graphics, raster (>=
        2.5-8), stats, utils
Suggests: knitr, rmarkdown, R.rsp
VignetteBuilder: R.rsp
NeedsCompilation: no
Packaged: 2019-05-30 21:08:43 UTC; julienvollering
Author: Julien Vollering [aut, cre],
  Sabrina Mazzoni [aut],
  Rune Halvorsen [aut],
  Steven Phillips [cph]
Repository: CRAN
Date/Publication: 2019-05-30 21:20:04 UTC
Built: R 4.0.0; ; 2020-04-10 09:37:25 UTC; windows
