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hypervolume (version 1.4.1)

High-Dimensional Kernel Density Estimation and Geometry Operations

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. Builds n-dimensional convex hulls (polytopes). Can measure the n-dimensional ecological hypervolume and perform species distribution modeling.

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Install

install.packages('hypervolume')

Monthly Downloads

2,178

Version

1.4.1

License

GPL-3

Maintainer

Benjamin Blonder

Last Published

November 18th, 2015

Functions in hypervolume (1.4.1)

HypervolumeList-class

Class HypervolumeList

estimate_bandwidth

Kernel bandwidth estimators for hypervolumes

hypervolume_thin

Reduces the number of random points in a hypervolume

hypervolume_join

Concatenate hypervolumes

expectation_maximal

Maximal expectation

hypervolume_segment

Segments a hypervolume into multiple separate hypervolumes.

expectation_convex

Convex expectation

hypervolume_set

Set operations (intersection / union / unique components)

hypervolume_distance

Distance between two hypervolumes

hypervolume_holes

hypervolume_sorensen_overlap

Sorensen similarity index for hypervolume set operations

plot.HypervolumeList

Plot a hypervolume or list of hypervolumes

hypervolume_inclusion_test

hypervolume_prune

Removes small hypervolumes from a HypervolumeList

Data and demo for Quercus (oak) tree distributions

Hypervolume-class

Class hypervolume

hypervolume_importance

Hypervolume variable importance

summary.Hypervolume

Summary of hypervolume

morphSnodgrassHeller

Morphological data for Darwin's finches

hypervolume-package

N-dimensional hypervolume operations

expectation_box

Hyperbox, hyperball expectation

Hypervolume construction