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 Snow Leopard binaries: | r-release: hypervolume_1.3.0.tgz, r-oldrel: hypervolume_1.2.2.tgz |
OS X Mavericks binaries: | r-release: hypervolume_1.4.tgz |
Old sources: | hypervolume archive |
Reverse imports: | cati |