Description Usage Arguments Details Value
Generates a number of realizations of the modeled random field.
1 2 3 4 5 6 7 8 9 |
object |
A |
target |
The |
to |
The name of the column in which to write the prediction. Will be overwritten if it exists or created if not. |
Nsim |
The desired number of simulations. |
discount.noise |
Whether to sample from the GP latent function instead of the noisy values. |
smooth |
Whether to correct the output from the sparse GP. |
verbose |
Display status while running? |
Standard GP objects use the Cholesky method, which limits the number of data to be used and the number of test points in which to simulate. SPGP objects use a sequential method based on rank-one updates to the matrices involved, which only limits the number of pseudo-inputs that can be used.
Due to the nature of the sparse approximation of the covariance matrices,
the output may appear noisy even if discount.noise = T
. Set
smooth = T
to apply a correction to the generated samples.
A 3D spatial object of the same class as target
containing the simulations.
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