simulate.intrinsicCBrSPDEobj: Simulation of a fractional intrinsic SPDE using the...

In rSPDE: Rational Approximations of Fractional Stochastic Partial Differential Equations

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

Description

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.

rSPDE documentation built on Jan. 26, 2026, 9:06 a.m.