The function samples a Gaussian random field based using the covariance-based rational SPDE approximation.
# S3 method for intrinsicCBrSPDEobj
simulate(
object,
nsim = 1,
seed = NULL,
kappa = NULL,
tau = NULL,
alpha = NULL,
beta = NULL,
integral.constraint = TRUE,
use_kl = NULL,
...
)
A matrix with the nsim
samples as columns.
The covariance-based rational SPDE approximation,
computed using intrinsic.matern.operators()
The number of simulations.
An object specifying if and how the random number generator should be initialized (‘seeded’).
new value of kappa to use
new value of tau to use
new value of alpha to use
new value of beta to use
Should the contraint on the integral be done?
Simulate based on a KL expansion?
Currently not used.