Discrete Multivariate Distributions
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".
paramObject of class "OptionalParameter".
Optional parameter of the multivariate distribution.
rObject of class "function":
generates (pseudo-)random numbers
dObject of class "OptionalFunction":
optional density function
pObject of class "OptionalFunction":
optional cumulative distribution function
qObject of class "OptionalFunction":
optional quantile function
supportnumeric matrix whose rows form the support of the distribution
.finSupportlogical: (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.
.withArithlogical: used internally to issue warnings as to interpretation of arithmetics
.withSimlogical: used internally to issue warnings as to accuracy
.logExactlogical: used internally to flag the case where there are explicit formulae for the log version of density, cdf, and quantile function
.lowerExactlogical: 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".
signature(object = "DiscreteMVDistribution"):
accessor function for slot support.
Matthias Kohl Matthias.Kohl@stamats.de
(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) # expectationPlease choose more modern alternatives, such as Google Chrome or Mozilla Firefox.