homGP)Gaussian process predictions using a homoskedastic noise GP object (of class homGP)
# S3 method for homGP
predict(object, x, xprime = NULL, ...)an object of class homGP; e.g., as returned by mleHomGP
matrix of designs locations to predict at (one point per row)
optional second matrix of predictive locations to obtain the predictive covariance matrix between x and xprime
no other argument for this method
list with elements
mean: kriging mean;
sd2: kriging variance (filtered, e.g. without the nugget value)
cov: predictive covariance matrix between x and xprime
nugs: nugget value at each prediction location, for consistency with mleHomGP.
The full predictive variance corresponds to the sum of sd2 and nugs. See mleHomGP for examples.