hetTP)Student-t process predictions using a heterogeneous noise TP object (of class hetTP)
# S3 method for hetTP
predict(object, x, noise.var = FALSE, xprime = NULL, nugs.only = FALSE, ...)list with elements
mean: kriging mean;
sd2: kriging variance (filtered, e.g. without the nugget values)
nugs: noise variance
sd2_var: (optional) kriging variance of the noise process (i.e., on log-variances if logN = TRUE)
cov: (optional) predictive covariance matrix between x and xprime
an object of class hetTP; e.g., as returned by mleHetTP
matrix of designs locations to predict at
should the variance of the latent variance process be returned?
optional second matrix of predictive locations to obtain the predictive covariance matrix between x and xprime
if TRUE, only return noise variance prediction
no other argument for this method.
The full predictive variance corresponds to the sum of sd2 and nugs.