predict.homGP | R Documentation |
homGP
)Gaussian process predictions using a homoskedastic noise GP object (of class homGP
)
## S3 method for class 'homGP'
predict(object, x, xprime = NULL, ...)
object |
an object of class |
x |
matrix of designs locations to predict at (one point per row) |
xprime |
optional second matrix of predictive locations to obtain the predictive covariance matrix between |
... |
no other argument for this method |
The full predictive variance corresponds to the sum of sd2
and nugs
. See mleHomGP
for examples.
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
.
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