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DESCRIPTION
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DESCRIPTION
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Package: hypervolume
Type: Package
Title: High Dimensional Geometry and Set Operations Using Kernel Density Estimation, Support Vector Machines, and Convex Polytopes
Version: 2.0.5
Date: 2017-05-18
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 polytope 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, hexbin
Suggests: magick