distrEx (version 2.6)

MultivariateDistribution-class: Multivariate Distributions

Description

The class of multivariate distributions. One has at least to specify the image space of the distribution and a function generating (pseudo-)random numbers. The slot q is usually filled with NULL for dimensions > 1.

Arguments

Objects from the Class

Objects can be created by calls of the form new("MultivariateDistribution", ...).

Slots

img
Object of class "rSpace". Image space of the distribution. Usually an object of class "EuclideanSpace".
param
Object of class "OptionalParameter". Optional parameter of the multivariate distribution.
r
Object of class "function": generates (pseudo-)random numbers
d
Object of class "OptionalFunction": optional density function
p
Object of class "OptionalFunction": optional cumulative distribution function
q
Object of class "OptionalFunction": optional quantile function
.withArith
logical: used internally to issue warnings as to interpretation of arithmetics
.withSim
logical: used internally to issue warnings as to accuracy
.logExact
logical: used internally to flag the case where there are explicit formulae for the log version of density, cdf, and quantile function
.lowerExact
logical: used internally to flag the case where there are explicit formulae for the lower tail version of cdf and quantile function
Symmetry
object of class "DistributionSymmetry"; used internally to avoid unnecessary calculations.

Extends

Class "Distribution", directly.

Methods

show
signature(object = "MultivariateDistribution")
plot
signature(object = "MultivariateDistribution"): not yet implemented.

See Also

Distribution-class

Examples

Run this code
# Dirac-measure in (0,0)
new("MultivariateDistribution")

Run the code above in your browser using DataLab