Package: hypervolume
Type: Package
Title: High Dimensional Geometry and Set Operations Using Kernel
        Density Estimation, Support Vector Machines, and Convex Hulls
Version: 2.0.12
Date: 2019-12-05
Author: Benjamin Blonder, with contributions from David J. Harris
Maintainer: Benjamin Blonder <bblonder@gmail.com>
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, rgl, methods, R (>= 3.0.2)
LinkingTo: Rcpp, RcppArmadillo, progress
Imports: raster, maps, MASS, geometry, ks, pdist, fastcluster,
        compiler, e1071, hitandrun, progress, mvtnorm, data.table,
        rgeos, sp
Suggests: magick, alphahull
NeedsCompilation: yes
Packaged: 2019-12-05 22:39:05 UTC; benjaminblonder
Repository: CRAN
Date/Publication: 2019-12-06 06:10:12 UTC
Built: R 4.0.2; x86_64-w64-mingw32; 2020-08-02 15:00:42 UTC; windows
Archs: i386, x64
