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 hole 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: 1.4.1
Depends: Rcpp, rgl, methods, R (≥ 3.0.0)
Imports: MASS, geometry, ks, fastcluster, compiler
LinkingTo: Rcpp, RcppArmadillo
Published: 2015-11-18
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_1.4.1.tar.gz
Windows binaries: r-devel: hypervolume_1.4.1.zip, r-release: hypervolume_1.4.1.zip, r-oldrel: hypervolume_1.4.1.zip
OS X El Capitan binaries: r-release: hypervolume_1.4.1.tgz
OS X Mavericks binaries: r-oldrel: hypervolume_1.4.1.tgz
Old sources: hypervolume archive

Reverse dependencies:

Reverse imports: cati, raptr


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