| cocoSim {cocons} | R Documentation |
Marginal simulation of Gaussian processes with nonstationary covariance function
Description
simulates a Gaussian process with nonstationary covariance function from an coco object.
Usage
cocoSim(coco.object, pars, n, seed, standardize,
type = 'classic', sim.type = NULL, cond.info = NULL)
Arguments
coco.object |
a vector of length p, where p is the number of parameters for |
pars |
a vector of length p, where p is the number of parameters for each of the models |
n |
number of realizations to simulate |
seed |
seed number. defalt set to NULL. |
standardize |
logical argument describing whether provided covariates should be standardize (TRUE) or not (FALSE). By default set to TRUE |
type |
wether parameters are related to a classical parameterization ('classic') or a difference parameterization 'diff' . Default set to 'classic'. |
sim.type |
if set 'cond' then a conditional simulation takes place. |
cond.info |
a list containing information to perform a conditional simulation. |
Value
a list() with the structure needed to fit cov.rns functions
Author(s)
Federico Blasi