kmNuggets.init is used to give initial values to fit kriging models, in presence of noisy observations.
an object of class
a matrix whose rows contain initial vectors of parameters.
a vector containing the function values corresponding to
a list containing the covariance objects corresponding to
vectors containing lower and upper bounds for parameters.
The procedure can be summarized in 4 stages:
|1)||Compute the variogram and give a first estimation of the process variance, as well as lower and upper bounds.|
|2)|| Simulate several values for the process variance, around the estimation obtained at stage 1). The number of simulations is the one given in
|3)|| If no initial value is provided for the other covariance parameters, simulate them uniformly inside the domain delimited by