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.

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