Description Objects from the Class Slots Extends Methods Author(s) References Examples
A class representing a bivariate spatial copula.
Objects can be created by calls of the form new("spCopula", ...)
or by the function spCopula
.
components
:Object of class "list"
A list of copula components per lag.
distances
:Object of class "numeric"
The mean distances of the lag classes.
calibMoa
:Object of class "function"
A function providing the copulas' parameter based on a measure of association.
unit
:Object of class "character"
The spatial unit.
dimension
:Object of class "integer"
The dimension of the copula (2).
parameters
:Object of class "numeric"
The parameters of the components.
param.names
:Object of class "character"
Names of the above parameters.
param.lowbnd
:Object of class "numeric"
The lower bounds of the above parameters.
param.upbnd
:Object of class "numeric"
The upper bounds of the above parameters.
fullname
:Object of class "character"
A phrase describing the spatial copula.
Class "copula"
, directly.
Class "Copula"
, by class "copula", distance 2.
signature(u = "numeric", copula = "spCopula")
: ...
signature(u = "numeric", copula = "spCopula")
: ...
Benedikt Graeler
Graeler, B. and E. Pebesma (2011): The pair-copula construction for spatial data: a new approach to model spatial dependency. Procedia Environmental Sciences (Vol. 7, pp. 206 - 211), Elsevier.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | # data from demo(spcopula_estimation)
data("spCopDemo")
calcKTauPol <- fitCorFun(bins, degree=3)
spCop <- spCopula(components=list(normalCopula(0.2), normalCopula(0.2),
tCopula(0.2, dispstr = "un"),
frankCopula(1.2), normalCopula(0.2),
claytonCopula(0.2), claytonCopula(0.2),
claytonCopula(0.2), claytonCopula(0.2),
claytonCopula(0.2), indepCopula()),
distances=c(0,bins$meanDists),
spDepFun=calcKTauPol, unit="m")
dCopula(u=matrix(c(.3,.3,.7,.7),ncol=2),spCop,h=c(200,400))
pCopula(u=matrix(c(.3,.3,.7,.7),ncol=2),spCop,h=c(200,400))
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