Simulation of a fractional intrinsic SPDE using the covariance-based rational SPDE approximation

The function samples a Gaussian random field based using the covariance-based rational SPDE approximation.

Usage

# S3 method for class 'intrinsicCBrSPDEobj'
simulate(
  object,
  nsim = 1,
  seed = NULL,
  kappa = NULL,
  tau = NULL,
  alpha = NULL,
  beta = NULL,
  integral.constraint = TRUE,
  use_kl = NULL,
  ...
)

Arguments

object: The covariance-based rational SPDE approximation, computed using intrinsic.matern.operators()
nsim: The number of simulations.
seed: An object specifying if and how the random number generator should be initialized (‘seeded’).
kappa: new value of kappa to use
tau: new value of tau to use
alpha: new value of alpha to use
beta: new value of beta to use
integral.constraint: Should the contraint on the integral be done?
use_kl: Simulate based on a KL expansion?
...: Currently not used.

Value

A matrix with the nsim samples as columns.