A class used to store a stochastic description of a hypervolume.
Objects can be created by calls of the form new("Hypervolume", ...).
Name:Object of class "character". A string naming the hypervolume, used in plotting.
Data:Object of class "matrix". If available, the raw data used to construct the hypervolume. Defaults to a one-row NaN vector for hypervolumes returned by set operations.
Dimensionality:Object of class "numeric". The dimensionality of the hypervolume.
Volume:Object of class "numeric". The volume of the hypervolume, in units of the product of all dimensions.
PointDensity:Object of class "numeric". The number density of the uniformly sampled random points characterizing the hypervolume.
Bandwidth:Object of class "numeric". If available, the bandwidth vector used to construct the hypervolume. Defaults to a one-row NaN vector for hypervolumes returned by set operations.
DisjunctFactor:Object of class "numeric". The ratio of the inferred volume to the volume of a hypervolume constructed from the same data with disjunct data points (i.e. no kernels overlap). Varies from zero to one. High values suggest that bandwidth should be increased.
RepsPerPoint:Object of class "numeric". If available, the number of random points used per observation to construct the hypervolume. Defaults to NaN for hypervolumes returned by set operations.
QuantileThresholdDesired:Object of class "numeric". If available, the quantile requested by the user and used to construct the hypervolume. Defaults to NaN for hypervolumes returned by set operations.
QuantileThresholdObtained:Object of class "numeric". If available, the quantile obtained by the hypervolume algorithm. Defaults to NaN for hypervolumes returned by set operations.
RandomUniformPointsThresholded:Object of class "matrix" A set of uniformly random points guaranteed to be in the hypervolume.
ProbabilityDensityAtRandomUniformPoints:Object of class "numeric" A vector of integers proportional to the probability density at each uniformly random point in the hypervolume. Defaults to a 1-valued vector for hypervolumes returned by set operations because set operations are well defined for volumes and not for probability density functions.
Summary and plot methods are available.