DiscreteMVDistribution-class: Discrete Multivariate Distributions
In distrEx: Extensions of Package 'distr'

Description Objects from the Class Slots Extends Methods Author(s) See Also Examples

The class of discrete multivariate distributions.

Objects can be created by calls of the form new("DiscreteMVDistribution", ...). More frequently they are created via the generating function DiscreteMVDistribution.

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
support: numeric matrix whose rows form the support of the distribution
.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

Class "MultivariateDistribution", directly.
Class "Distribution", by class "MultivariateDistribution".

support: signature(object = "DiscreteMVDistribution"): accessor function for slot support.

Matthias Kohl [email protected]

Distribution-class, MultivariateDistribution-class, DiscreteMVDistribution, E-methods

(D1 <- new("MultivariateDistribution")) # Dirac measure in (0,0)
r(D1)(5)

(D2 <- DiscreteMVDistribution(supp = matrix(c(1:5, rep(3, 5)), ncol=2, byrow=TRUE)))
support(D2)
r(D2)(10)
d(D2)(support(D2))
p(D2)(lower = c(1,1), upper = c(3,3))
q(D2)
param(D2)
img(D2)

e1 <- E(D2) # expectation