Package: hypervolume
Type: Package
Title: High Dimensional Geometry, Set Operations, Projection, and
        Inference Using Kernel Density Estimation, Support Vector
        Machines, and Convex Hulls
Version: 3.1.4
Date: 2024-05-01
Author: Benjamin Blonder, with contributions from Cecina Babich Morrow, Stuart Brown, Gregoire Butruille, Daniel Chen, Alex Laini, and David J. Harris
Maintainer: Benjamin Blonder <benjamin.blonder@berkeley.edu>
Description: Estimates the shape and volume of high-dimensional datasets and performs set operations: intersection / overlap, union, unique components, inclusion test, and hole detection. Uses stochastic geometry approach to high-dimensional kernel density estimation, support vector machine delineation, and convex hull generation. Applications include modeling trait and niche hypervolumes and species distribution modeling.
License: GPL-3
Depends: Rcpp, methods, R (>= 3.5.0)
LinkingTo: Rcpp, RcppArmadillo, progress
Imports: raster, maps, MASS, geometry, ks, hitandrun, pdist,
        fastcluster, compiler, e1071, progress, mvtnorm, data.table,
        terra, sp, foreach, doParallel, parallel, ggplot2, pbapply,
        palmerpenguins, purrr, dplyr, caret
Suggests: rgl, magick, alphahull, knitr, rmarkdown, gridExtra
NeedsCompilation: yes
RoxygenNote: 7.1.1
URL: https://github.com/bblonder/hypervolume
BugReports: https://github.com/bblonder/hypervolume/issues
VignetteBuilder: knitr
Packaged: 2024-05-01 22:41:07 UTC; benjaminblonder
Repository: CRAN
Date/Publication: 2024-05-01 23:15:09 UTC
Built: R 4.4.0; x86_64-apple-darwin20; 2024-05-02 03:07:44 UTC; unix
Archs: hypervolume.so.dSYM
