DiscreteMVDistribution: Generating function for multivariate discrete distribution

View source: R/DiscreteMVDistribution.R

DiscreteMVDistributionR Documentation

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.

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.

Value

Object of class "DiscreteMVDistribution"

Author(s)

Matthias Kohl Matthias.Kohl@stamats.de

See Also

DiscreteMVDistribution-class

Examples

# 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)

distrEx documentation built on Nov. 16, 2022, 1:07 a.m.