Package: hypervolume
Type: Package
Title: High Dimensional Geometry and Set Operations Using Kernel
        Density Estimation, Support Vector Machines, and Convex Hulls
Version: 2.0.9
Date: 2018-05-22
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 (>= 3.0.0)
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: 2018-05-28 16:44:05 UTC; benjaminblonder
Repository: CRAN
Date/Publication: 2018-05-28 22:14:03 UTC
