distrEx (version 2.6)

DiscreteMVDistribution: Generating function for multivariate discrete distribution

Description

Generates an object of class "DiscreteMVDistribution".

Usage

DiscreteMVDistribution(supp, prob, Symmetry = NoSymmetry())

Arguments

supp
numeric matrix whose rows form the support of the discrete multivariate distribution.
prob
vector of probability weights for the elements of supp.
Symmetry
you may help R in calculations if you tell it whether the distribution is non-symmetric (default) or symmetric with respect to a center.

Value

"DiscreteMVDistribution"

Details

Typical usages are
    DiscreteMVDistribution(supp, prob)
    DiscreteMVDistribution(supp)
  
Identical rows are collapsed to unique support values. If prob is missing, all elements in supp are equally weighted.

See Also

DiscreteMVDistribution-class

Examples

Run this code
# Dirac-measure at (0,0,0)
D1 <- DiscreteMVDistribution(supp = c(0,0,0))
support(D1)

# simple discrete distribution
D2 <- DiscreteMVDistribution(supp = matrix(c(0,1,0,2,2,1,1,0), ncol=2), 
                prob = c(0.3, 0.2, 0.2, 0.3))
support(D2)
r(D2)(10)

Run the code above in your browser using DataCamp Workspace