simulate.intrinsicCBrSPDEobj {rSPDE} | R Documentation |
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 |
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.
[Package rSPDE version 2.5.1 Index]