Package: maxentcpp
Type: Package
Title: Maximum Entropy Species Distribution Modeling ('C++'
        Implementation)
Version: 1.0.0
Authors@R: c(
    person("Angel", "Robles", role = c("aut", "cre"),
           email = "a.l.robles.fernandez@gmail.com"))
Description: 'C++' implementation of Maximum Entropy (Maxent) species distribution
    modeling with R bindings via 'Rcpp'. Provides a high-performance
    reimplementation of the Maxent algorithm for modeling species geographic
    distributions from occurrence data and environmental variables, following
    Phillips et al. (2006) <doi:10.1016/j.ecolmodel.2005.03.026>. Supports
    linear, quadratic, product, hinge, and threshold feature transformations,
    spatial projection in raw, logistic, and cloglog scales, and model
    diagnostics including Area Under the ROC Curve (AUC), variable importance,
    response curves, and Multivariate Environmental Similarity Surfaces (MESS)
    maps.
URL: https://github.com/alrobles/maxentcpp,
        https://alrobles.github.io/maxentcpp/
BugReports: https://github.com/alrobles/maxentcpp/issues
License: MIT + file LICENSE
Depends: R (>= 3.5.0)
Imports: Rcpp (>= 1.0.0), methods
LinkingTo: Rcpp, RcppEigen
Suggests: testthat (>= 3.0.0), knitr, rmarkdown, terra (>= 1.7-46),
        raster, sf, png, rJava, maxnet
SystemRequirements: C++17
Encoding: UTF-8
LazyData: true
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
RoxygenNote: 7.3.3
NeedsCompilation: yes
Packaged: 2026-05-13 03:58:32 UTC; alrob
Author: Angel Robles [aut, cre]
Maintainer: Angel Robles <a.l.robles.fernandez@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-18 18:30:11 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-05-19 23:51:13 UTC; windows
Archs: x64
