| mvdc-class {copula} | R Documentation |
Class "mvdc": Multivariate Distributions from Copulas
Description
"mvdc" is a class representing
multivariate distributions constructed via
copula and margins, using Sklar's theorem.
Objects from the Class
Objects are typically created by mvdc(), or
can be created by calls of the form new("mvdc", ...).
Slots
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. Seemvdc.marginsIdentical:Object of class
"logical", that, if TRUE, restricts the marginal distributions to be identical, default isFALSE.
Methods
- contour
signature(x = "mvdc"): ...- dim
signature(x = "mvdc"): the dimension of the distribution; this is the same asdim(x@copula).- persp
signature(x = "mvdc"): ...- show
signature(object = "mvdc"): quite compactly display the content of the "mvdc"object.
See Also
mvdc,
also for examples; for fitting, fitMvdc.