DiscreteMVDistribution-class: Discrete Multivariate Distributions

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

Description

The class of discrete multivariate distributions.

Objects from the Class

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

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

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

Extends

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

Methods

support

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

Author(s)

Matthias Kohl Matthias.Kohl@stamats.de

See Also

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

Examples

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(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

distrEx documentation built on May 20, 2017, 12:57 a.m.

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