demu (version 0.3.0)

generalized.wendland: Calculate the correlation matrix according to the generalized Wendland model.

Description

generalized.wendland() is a helper function that constructs a correlation matrix according to the generalized Wendland model with lengthscales given by the parameter vector theta. When kap=0 the correlation model corresponds to the Askey correlation model. The design must have been already formated in distlist format using the function makedistlist().

Usage

generalized.wendland(l.d,theta, kap)

Arguments

l.d

Current design distance matrices in distlist format

theta

A vector of range parameters

kap

A non-negative scalar parameter

Value

A list containing the constructed correlation matrix.

See Also

demu-package rhomat matern32 matern52 wendland1 wendland2

Examples

# NOT RUN {
library(demu)

design=matrix(runif(10,0,1),ncol=2,nrow=5)
theta=0.3
kap=3
l.d=makedistlist(design)
R=generalized.wendland(l.d,theta,kap)$R
R
# }