Used to determine theta/lambda values for the Kriging model in buildKriging
.
Supportive function for Kriging model, not to be used directly.
krigingLikelihood(x, AX, Ay, optimizeP = FALSE, useLambda = TRUE)
vector, containing parameters log10(theta), log10(lambda) and p.
3 dimensional array, constructed by buildKriging from the sample locations
vector of observations at sample locations
boolean, whether to optimize parameter p (exponents) or fix at two.
boolean, whether to use nugget
list with elements
NegLnLike
concentrated log-likelihood *-1 for minimising
Psi
correlation matrix
Psinv
inverse of correlation matrix (to save computation time during prediction)
mu
ssq