Usage
diffpairs(coords, data)
loccoords(coords, locations)
diagquadraticformXAX(X, lowerA, diagA)
bilinearformXAY(X, lowerA, diagA, Y)
corr.diaglowertri(coords, cov.model, phi, kappa)
Ccor.spatial(x, phi, kappa, cov.model)
Arguments
coords
an $n \times 2$ matrix with the data
coordinates.
data
an vector with the data values.
locations
an $N \times 2$ matrix with the
coordinates of the prediction locations.
lowerA
a vector with the diagonal terms of the symmetric matrix
A.
diagA
a vector with the diagonal terms of the symmetric matrix A.
X
a matrix with conforming dimensions.
Y
a matrix with conforming dimensions.
cov.model
covariance model, see cov.spatial
for options and
more details. phi
numerical value of the correlation function parameter phi.
kappa
numerical value of the correlation function parameter
kappa.