hypervolume: High-dimensional Kernel Density Estimation and Geometry Operations

Estimates the shape and volume of high-dimensional datasets and performs set operations: intersection / overlap, union, unique components, inclusion test, and negative feature detection. Uses stochastic geometry approach to high-dimensional kernel density estimation. Builds n-dimensional convex hulls (polytopes). Can measure the n-dimensional ecological hypervolume and perform species distribution modeling.

Version: 1.1.2
Depends: Rcpp, rgl, methods, R (≥ 3.0.0)
Imports: MASS, geometry, pdist
LinkingTo: Rcpp
Published: 2015-01-16
Author: Benjamin Blonder
Maintainer: Benjamin Blonder <bblonder at gmail.com>
License: GPL-3
NeedsCompilation: yes
CRAN checks: hypervolume results


Reference manual: hypervolume.pdf
Package source: hypervolume_1.1.2.tar.gz
Windows binaries: r-devel: hypervolume_1.1.2.zip, r-release: hypervolume_1.1.2.zip, r-oldrel: hypervolume_1.1.2.zip
OS X Snow Leopard binaries: r-release: hypervolume_1.1.2.tgz, r-oldrel: hypervolume_1.1.2.tgz
OS X Mavericks binaries: r-release: hypervolume_1.1.2.tgz
Old sources: hypervolume archive

Reverse dependencies:

Reverse imports: cati