hypvol: Aproximate Hypervolume for Multivariate Data
Description
Computes a simple approximation to the hypervolume of a multivariate
data set.
Usage
hypvol(data, reciprocal=FALSE)
Arguments
data
A numeric vector, matrix, or data frame of observations. Categorical
variables are not allowed. If a matrix or data frame, rows
correspond to observations and columns correspond to variables.
reciprocal
A logical variable indicating whether or not the reciprocal
hypervolume is desired rather than the hypervolume itself. The
default is to return the approximate hypervolume.
Value
Computes the hypervolume by two methods: simple variable bounds
and principal components, and returns the minimum value.
References
C. Fraley and A. E. Raftery (2002a).
Model-based clustering, discriminant analysis, and density estimation.
Journal of the American Statistical Association 97:611:631.
See http://www.stat.washington.edu/mclust.