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, support vector machine delineation, and convex hull generation. Applications include modeling trait and niche hypervolumes and species distribution modeling.
Package details |
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Author | Benjamin Blonder, with contributions from David J. Harris |
Maintainer | Dan Chen <dc165@berkeley.edu> |
License | GPL-3 |
Version | 2.0.13 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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