# DiscreteMVDistribution-class

0th

Percentile

##### Discrete Multivariate Distributions

The class of discrete multivariate distributions.

Keywords
distribution
##### 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

.finSupport

logical: (later on to be) used internally to check whether the true support is finite; the element in the 1st row and ith column indicates whether the ith marginal distribution has a finite left endpoint, and the element in the 2nd row and ith column if it is has a finite right endpoint); not yet further used.

.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.

##### See Also

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

##### Aliases
• DiscreteMVDistribution-class
• support,DiscreteMVDistribution-method
##### Examples
# NOT RUN {
(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)
## in RStudio or Jupyter IRKernel, use q.l(.)(.) instead of q(.)(.)
param(D2)
img(D2)

e1 <- E(D2) # expectation
# }

Documentation reproduced from package distrEx, version 2.8.0, License: LGPL-3

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