hypvolunif: Approximate hypervolume for multivariate data

In mclustAddons: Addons for the 'mclust' Package

Approximate hypervolume for multivariate data

Description

Simple approximations for the hypervolume of a multivariate dataset by assuming a uniform distribution.

Usage

hypvolunif(data, pc = FALSE, logarithm = TRUE, ...)

Arguments

data	A numeric vector, matrix, or data frame. If a matrix or data frame, rows correspond to observations and columns correspond to variables. Categorical variables and missing values are not allowed.
pc	A logical value indicating whether the volume of hyperectangle enclosing the data (FALSE) or the volume of hyperectangle aligned with the principal axes enclosing the data should be computed.
logarithm	A logical value indicating whether or not the logarithm of the hypervolume should be returned.
...	Further arguments passed to or from other methods.

Value

Returns the (log) hypervolume from a uniform distribution aligned with the original axes or along the principal components.

Author(s)

Luca Scrucca

Examples

x1 = rnorm(1000)
x2 = 0.8*x1 + rnorm(1000)
x = cbind(x1, x2)
hypvolunif(x)
hypvolunif(x, pc = TRUE)

mclustAddons documentation built on Dec. 3, 2025, 5:08 p.m.