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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 Cecina Babich Morrow, Stuart Brown, Gregoire Butruille, Daniel Chen, Alex Laini, and David J. Harris 
Maintainer  Benjamin Blonder <benjamin.blonder@berkeley.edu> 
License  GPL3 
Version  3.1.4 
URL  https://github.com/bblonder/hypervolume 
Package repository  View on CRAN 
Installation 
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