Estimates the shape and volume of highdimensional datasets and performs set operations: intersection / overlap, union, unique components, inclusion test, and hole detection. Uses stochastic geometry approach to highdimensional kernel density estimation, support vector machine delineation, and convex hull generation. Applications include modeling trait and niche hypervolumes and species distribution modeling.
Package details 


Author  Benjamin Blonder, with contributions from David J. Harris 
Maintainer  Benjamin Blonder <bblonder@gmail.com> 
License  GPL3 
Version  2.0.12 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.