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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 David J. Harris 
Date of publication  20180715 22:20:03 UTC 
Maintainer  Benjamin Blonder <[email protected]> 
License  GPL3 
Version  2.0.11 
Package repository  View on CRAN 
Installation 
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