hypervolume (version 3.1.4)

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

1,537

Version

3.1.4

License

GPL-3

Issues

Pull Requests

Stars

Forks

Last Published

May 1st, 2024

Functions in hypervolume (3.1.4)