Description Usage Arguments Value See Also Examples

`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()`

.

1 | ```
generalized.wendland(l.d,theta, kap)
``` |

`l.d` |
Current design distance matrices in distlist format |

`theta` |
A vector of range parameters |

`kap` |
A non-negative scalar parameter |

A list containing the constructed correlation matrix.

`demu-package`

`rhomat`

`matern32`

`matern52`

`wendland1`

`wendland2`

1 2 3 4 5 6 7 8 | ```
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
``` |

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