hypervolume (version 3.1.3)

High Dimensional Geometry, Set Operations, Projection, and Inference Using Kernel Density Estimation, Support Vector Machines, and Convex Hulls

Description

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.

Copy Link

Version

Down Chevron

Install

install.packages('hypervolume')

Monthly Downloads

1,405

Version

3.1.3

License

GPL-3

Last Published

September 14th, 2023

Functions in hypervolume (3.1.3)