matrix containing the points where to perform simulations
mu
trend parameter
parameter
list of size of 'cl' containing for each clique a list of parameters alpha (single value) and theta (numeric vector of values)
covtype
character string specifying the covariance structure to be used, to be chosen between "gauss", "matern5_2", "matern3_2", "exp" or "powexp" (see DiceKriging)
cl
list of cliques
iso
boolean vector indicating for each clique if it is isotropic (TRUE) or anisotropic (FALSE), defaults to iso = FALSE (all cliques anisotropic)
eps.R
small positive number indicating the nugget effect added to the covariance matrix diagonalk, defaults to eps.R = 1e-08
Value
a vector containing the simulated values
Author(s)
J. Fruth
References
Muehlenstaedt, T.; Roustant, O.; Carraro, L.; Kuhnt, S. (2011) Data-driven Kriging models based on FANOVA-decomposition, Statistics and Computing.
Rasmussen, C. E.; Williams, C. K. I. (2006), Gaussian processes for machine learning, MIT Press.