spCopula: Spatial Copula

In BenGraeler/spcopula: Copula Driven Analysis - Multivariate, Spatial, Spatio-Temporal

Description

Constructor of a bivariate spatial copula spCopula.

Usage

spCopula(components, distances, spDepFun, unit = NULL)

Arguments

components	A list of bivariate copulas to be used at each lag.Will be supplemented by the independence copula.
distances	A vector of the mean distances of the lag classes PLUS the range which will define the use of the independence copula.
spDepFun	The spatial dependence function. Typically, the result of fitCorFun. If no spatial dependence function is provided, the spatial copula will be a pure linear convex combination of the provided components (i.e. no further fit of their parameters will take place).
unit	The spatial unit, default: NULL

Value

An instance of the spatial Copula class.

Author(s)

Benedikt Graeler

References

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.

See Also

See also calcBins or loglikByCopulasLags and demo(spcopula_estimation).

Examples

data("spCopDemo")

calcKTauPol <- fitCorFun(bins, degree=3)

spCop <- spCopula(components=list(normalCopula(), tCopula(),
                                  frankCopula(), normalCopula(), claytonCopula(),
                                  claytonCopula(), claytonCopula(), claytonCopula(),
                                  claytonCopula(), indepCopula()),
                  distances=bins$meanDists,
                  spDepFun=calcKTauPol, unit="m")

BenGraeler/spcopula documentation built on Nov. 20, 2020, 4:07 p.m.