"mvdc" is a class representing
multivariate distributions constructed via
copula and margins, using Sklar's theorem.
Objects are typically created by mvdc(), or
can be created by calls of the form new("mvdc", ...).
copula:Object of class "copula",
specifying the copula.
margins:Object of class "character",
specifying the marginal distributions.
paramMargins:Object of class "list", whose
each component is a list of named components, giving the parameter
values of the marginal distributions. See mvdc.
marginsIdentical:Object of class "logical",
that, if TRUE, restricts the marginal distributions to be
identical, default is FALSE.
signature(x = "mvdc"): ...
signature(x = "mvdc"): the dimension of the
distribution; this is the same as dim(x@copula).
signature(x = "mvdc"): ...
signature(object = "mvdc"): quite compactly display
the content of the "mvdc" object.
mvdc,
also for examples; for fitting, fitMvdc.